Evaluate a Siamese model: Ungraded Lecture Notebook¶
In [1]:
Copied!
import numpy as np
import tensorflow as tf
import tensorflow.math as math
import tensorflow.linalg as linalg
import numpy as np
import tensorflow as tf
import tensorflow.math as math
import tensorflow.linalg as linalg
2024-02-02 03:42:07.630502: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-02-02 03:42:07.762478: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. 2024-02-02 03:42:07.763782: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-02-02 03:42:08.673476: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Inspecting the necessary elements¶
In this lecture notebook you will learn how to evaluate a Siamese model using the accuracy metric. Because there are many steps before evaluating a Siamese network (as you will see in this week's assignment) the necessary elements and variables are replicated here using real data from the assignment:
q1: vector with dimension(batch_size X max_length)containing first questions to compare in the test set.q2: vector with dimension(batch_size X max_length)containing second questions to compare in the test set.
Notice that for each pair of vectors within a batch $([q1_1, q1_2, q1_3, ...]$, $[q2_1, q2_2,q2_3, ...])$ $q1_i$ is associated to $q2_k$.
y_test: 1 if $q1_i$ and $q2_k$ are duplicates, 0 otherwise.v1: output vector from the model's prediction associated with the first questions.v2: output vector from the model's prediction associated with the second questions.
You can inspect each one of these variables by running the following cells:
In [2]:
Copied!
q1 = np.load('./data/q1.npy')
print(f'q1 has shape: {q1.shape} \n\nAnd it looks like this: \n\n {q1}\n\n')
q1 = np.load('./data/q1.npy')
print(f'q1 has shape: {q1.shape} \n\nAnd it looks like this: \n\n {q1}\n\n')
q1 has shape: (512, 64) And it looks like this: [[ 32 38 4 ... 1 1 1] [ 30 156 78 ... 1 1 1] [ 32 38 4 ... 1 1 1] ... [ 32 33 4 ... 1 1 1] [ 30 156 317 ... 1 1 1] [ 30 156 6 ... 1 1 1]]
Notice those 1s on the right-hand side?
Hope you remember that the value of 1 was used for padding.
In [3]:
Copied!
q2 = np.load('./data/q2.npy')
print(f'q2 has shape: {q2.shape} \n\nAnd looks like this: \n\n {q2}\n\n')
q2 = np.load('./data/q2.npy')
print(f'q2 has shape: {q2.shape} \n\nAnd looks like this: \n\n {q2}\n\n')
q2 has shape: (512, 64) And looks like this: [[ 30 156 78 ... 1 1 1] [ 283 156 78 ... 1 1 1] [ 32 38 4 ... 1 1 1] ... [ 32 33 4 ... 1 1 1] [ 30 156 78 ... 1 1 1] [ 30 156 10596 ... 1 1 1]]
In [4]:
Copied!
y_test = np.load('./data/y_test.npy')
print(f'y_test has shape: {y_test.shape} \n\nAnd looks like this: \n\n {y_test}\n\n')
y_test = np.load('./data/y_test.npy')
print(f'y_test has shape: {y_test.shape} \n\nAnd looks like this: \n\n {y_test}\n\n')
y_test has shape: (512,) And looks like this: [0 1 1 0 0 0 0 1 0 1 1 0 0 0 1 1 1 0 1 1 0 0 0 0 1 1 0 0 0 0 1 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 1 1 1 1 0 1 0 1 0 0 0 1 0 1 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 1 1 0 1 0 0 0 1 0 1 0 0 0 0 1 1 1 0 1 0 1 1 0 0 0 1 0 0 1 1 0 0 1 0 1 0 0 1 1 0 1 0 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 1 1 0 1 1 1 1 0 1 1 0 0 0 0 1 1 0 0 0 0 0 1 1 0 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 1 1 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 1 0 1 1 0 0 0 1 0 1 0 1 1 0 0 0 1 0 0 0 0 1 0 0 0 0 1 1 1 0 1 0 1 1 1 0 0 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 0 1 0 1 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 1 1 0 1 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 1 1 0 1 1 1 0 0 0 1 0 1 1 1 0 1 0 0 0 0 0 0 0 1 1 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
In [5]:
Copied!
v1 = np.load('./data/v1.npy')
print(f'v1 has shape: {v1.shape} \n\nAnd looks like this: \n\n {v1}\n\n')
v2 = np.load('./data/v2.npy')
print(f'v2 has shape: {v2.shape} \n\nAnd looks like this: \n\n {v2}\n\n')
v1 = np.load('./data/v1.npy')
print(f'v1 has shape: {v1.shape} \n\nAnd looks like this: \n\n {v1}\n\n')
v2 = np.load('./data/v2.npy')
print(f'v2 has shape: {v2.shape} \n\nAnd looks like this: \n\n {v2}\n\n')
v1 has shape: (512, 128) And looks like this: [[ 0.01273625 -0.1496373 -0.01982759 ... 0.02205012 -0.00169148 -0.01598107] [-0.05592084 0.05792497 -0.02226785 ... 0.08156938 -0.02570007 -0.00503111] [ 0.05686752 0.0294889 0.04522024 ... 0.03141788 -0.08459651 -0.00968536] ... [ 0.15115018 0.17791134 0.02200656 ... -0.00851707 0.00571415 -0.00431194] [ 0.06995274 0.13110274 0.0202337 ... -0.00902792 -0.01221745 0.00505962] [-0.16043712 -0.11899089 -0.15950686 ... 0.06544471 -0.01208312 -0.01183368]] v2 has shape: (512, 128) And looks like this: [[ 0.07437647 0.02804951 -0.02974014 ... 0.02378932 -0.01696189 -0.01897198] [ 0.03270066 0.15122835 -0.02175895 ... 0.00517202 -0.14617395 0.00204823] [ 0.05635608 0.05454165 0.042222 ... 0.03831453 -0.05387777 -0.01447786] ... [ 0.04727105 -0.06748016 0.04194937 ... 0.07600753 -0.03072828 0.00400715] [ 0.00269269 0.15222628 0.01714724 ... 0.01482705 -0.0197884 0.01389528] [-0.15475044 -0.15718803 -0.14732707 ... 0.04299919 -0.01070975 -0.01318042]]
Calculating the accuracy¶
You will calculate the accuracy by iterating over the test set and checking if the model predicts right or wrong.
The first step is to set the accuracy to zero:
In [6]:
Copied!
accuracy = 0
accuracy = 0
You will also need the batch size and the threshold that determines if two questions are the same or not.
Note :A higher threshold means that only very similar questions will be considered as the same question.
In [7]:
Copied!
batch_size = 512 # Note: The max it can be is y_test.shape[0] i.e all the samples in test data
threshold = 0.7 # You can play around with threshold and then see the change in accuracy.
batch_size = 512 # Note: The max it can be is y_test.shape[0] i.e all the samples in test data
threshold = 0.7 # You can play around with threshold and then see the change in accuracy.
In the assignment you will iterate over multiple batches of data but since this is a simplified version only one batch is provided.
Note: Be careful with the indices when slicing the test data in the assignment!
The process is pretty straightforward:
- Iterate over each one of the elements in the batch
- Compute the cosine similarity between the predictions
- For computing the cosine similarity, the two output vectors should have been normalized using L2 normalization meaning their magnitude will be 1. This has been taken care of by the Siamese network you will build in the assignment. Hence the cosine similarity here is just dot product between two vectors. You can check by implementing the usual cosine similarity formula and check if this holds or not.
- Determine if this value is greater than the threshold (If it is, consider the two questions as the same and return 1 else 0)
- Compare against the actual target and if the prediction matches, add 1 to the accuracy (increment the correct prediction counter)
- Divide the accuracy by the number of processed elements
In [8]:
Copied!
for j in range(batch_size): # Iterate over each element in the batch
print(v1[j].shape)
print(v2[j].shape)
print(v1[j])
print(v2[j])
d = math.reduce_sum(v1[j]*v2[j])# Compute the cosine similarity between the predictions as l2 normalized, ||v1[j]||==||v2[j]||==1 so only dot product is needed
print('Cos Similarity ',d)
res = d > threshold # Determine if this value is greater than the threshold (if it is consider the two questions as the same)
accuracy += tf.cast(y_test[j] == res, tf.int32) # Compare against the actual target and if the prediction matches, add 1 to the accuracy
accuracy = accuracy / batch_size # Divide the accuracy by the number of processed elements
for j in range(batch_size): # Iterate over each element in the batch
print(v1[j].shape)
print(v2[j].shape)
print(v1[j])
print(v2[j])
d = math.reduce_sum(v1[j]*v2[j])# Compute the cosine similarity between the predictions as l2 normalized, ||v1[j]||==||v2[j]||==1 so only dot product is needed
print('Cos Similarity ',d)
res = d > threshold # Determine if this value is greater than the threshold (if it is consider the two questions as the same)
accuracy += tf.cast(y_test[j] == res, tf.int32) # Compare against the actual target and if the prediction matches, add 1 to the accuracy
accuracy = accuracy / batch_size # Divide the accuracy by the number of processed elements
(128,) (128,) [ 1.27362460e-02 -1.49637297e-01 -1.98275950e-02 -1.08946666e-01 -1.68642197e-02 -1.65867269e-01 1.07190855e-01 -4.33174968e-02 9.07681510e-03 -5.92368562e-03 -6.78903759e-02 2.61136866e-03 7.75974302e-04 -1.77034229e-01 -1.37154330e-02 3.75972353e-02 4.30502789e-03 -9.24129561e-02 -1.83787912e-01 -9.10479575e-02 -3.44949439e-02 3.88996266e-02 -1.47246629e-01 5.85732386e-02 7.21155014e-03 1.73979648e-03 2.09133610e-01 -8.61155707e-03 -8.30050372e-03 1.16931684e-01 1.52790904e-01 -1.83973595e-01 -9.09670489e-04 -2.16546282e-02 6.64035976e-02 1.48809804e-02 -1.08917868e-02 -7.68949613e-02 3.59993964e-03 -6.51998892e-02 1.99166477e-01 -1.83426333e-03 -1.80561282e-03 -9.94487666e-03 -8.65307748e-02 -2.01043651e-01 1.08571388e-01 3.02748079e-03 8.81575141e-03 1.12046637e-02 1.03988880e-02 -4.71503299e-05 -1.54345399e-02 3.81085370e-03 -1.76025648e-02 -2.37256149e-03 -6.52001277e-02 1.45423552e-03 9.52280220e-03 -4.58056666e-03 -1.69549093e-01 -2.16741189e-01 1.70587167e-01 -5.63061191e-03 -2.19472393e-01 3.02881729e-02 -1.40405046e-02 -1.17665917e-01 -2.03800946e-02 8.00551400e-02 -4.92653623e-02 -1.17952220e-01 -3.68212722e-03 2.64705718e-03 -1.51802273e-02 3.31460917e-03 1.74023192e-02 4.39884290e-02 -1.02871479e-02 8.56194049e-02 -1.17476413e-03 -1.06385604e-01 1.73856784e-02 -1.60591409e-01 -1.75404683e-01 1.69793054e-01 1.66298822e-01 3.37206386e-03 -1.28382286e-02 7.34478980e-02 3.18804607e-02 1.11279935e-01 8.71381909e-03 1.02541670e-02 -1.18240071e-02 -3.79610956e-02 -1.02908134e-01 -3.53161246e-02 1.62667420e-03 4.12436128e-02 -1.65144309e-01 1.89480722e-01 8.52301493e-02 -5.01994155e-02 -4.61925985e-03 -2.04397589e-02 8.64358768e-02 2.66647227e-02 5.25867241e-03 5.60983084e-02 -7.12741911e-02 -1.32394172e-02 -1.58551224e-02 -1.04195185e-01 1.14809144e-02 1.42536715e-01 6.48466349e-02 -1.05646718e-02 1.41805068e-01 -5.38253877e-03 2.70327344e-03 1.69498205e-01 2.16218848e-02 -6.42588828e-03 -1.92236915e-01 2.20501199e-02 -1.69147807e-03 -1.59810707e-02] [ 7.43764713e-02 2.80495137e-02 -2.97401398e-02 -1.87340453e-02 -1.55572435e-02 -1.83703244e-01 1.11302495e-01 -4.27580848e-02 1.06923014e-03 -7.12572457e-03 -1.54450387e-01 -1.03702238e-02 -2.08159117e-03 -1.78844050e-01 -7.50365481e-02 7.05493614e-02 -4.80369618e-03 -1.55678727e-02 -1.64041370e-01 -1.05334014e-01 -1.38209626e-01 -4.80303206e-02 -1.55909002e-01 2.64156777e-02 1.11206556e-02 1.98614993e-03 1.95554286e-01 -1.15981577e-02 1.32753029e-01 9.38080475e-02 1.75998211e-01 -1.47649333e-01 -9.77178104e-03 -3.47623043e-02 -2.09539644e-02 2.61458568e-02 4.22644283e-04 -1.91669360e-01 5.29093493e-04 -8.41846969e-03 2.23961622e-01 3.90274497e-03 -2.12014560e-03 -8.90959054e-03 -7.77527168e-02 -2.38217294e-01 1.69157475e-01 -1.76675487e-02 4.06917324e-03 1.06676612e-02 1.00168930e-02 -2.37474544e-03 -1.27072921e-02 3.17168795e-03 -6.52451953e-03 -6.39640843e-04 -1.08456515e-01 6.04684581e-04 -7.98714068e-03 2.76414212e-03 -1.12913661e-01 1.73639655e-02 1.50394544e-01 -1.39139900e-02 -1.78706318e-01 -9.55206826e-02 -1.76927466e-02 -1.45855054e-01 -2.74225548e-02 8.12044889e-02 -4.54706624e-02 -1.79648802e-01 7.86390807e-03 -1.40020798e-04 -1.18180122e-02 -7.02888565e-03 -1.33714959e-01 2.79291179e-02 -6.93290122e-03 3.57231498e-02 -1.16788121e-02 -9.79588628e-02 1.08760467e-03 -4.83210459e-02 -1.05460793e-01 -1.01896979e-01 1.05279036e-01 9.90021974e-04 -1.41962739e-02 8.13099965e-02 8.73250589e-02 1.20676696e-01 -2.37777364e-02 9.48420353e-03 -1.01846782e-02 6.33401647e-02 1.09518059e-02 6.62599057e-02 1.81649625e-03 4.37366329e-02 -2.16014355e-01 1.36255220e-01 9.45351645e-02 1.78452119e-01 -9.48147103e-03 -1.80000719e-02 1.00455582e-01 1.18618961e-02 -1.10692307e-02 -9.40580741e-02 -9.94828269e-02 -2.85859406e-02 -2.75606941e-03 -1.46107925e-02 2.25075427e-02 -3.28409635e-02 8.17766115e-02 5.75487735e-03 2.18750656e-01 -6.18359365e-04 1.91816210e-03 9.50909555e-02 1.97441541e-02 5.44170896e-03 -1.81817681e-01 2.37893201e-02 -1.69618893e-02 -1.89719815e-02] Cos Similarity tf.Tensor(0.7441503, shape=(), dtype=float32) (128,) (128,) [-5.59208356e-02 5.79249710e-02 -2.22678538e-02 -1.35055527e-01 3.10167670e-03 2.89078476e-03 1.38942152e-01 5.31545132e-02 1.78458181e-03 -6.77971053e-04 -1.52576461e-01 -6.87207561e-03 -5.59079135e-03 5.96729713e-03 -5.04034944e-02 5.25822679e-06 -4.26572748e-03 9.71823931e-02 -1.66155308e-01 3.84683944e-02 5.22161387e-02 -9.27857310e-02 1.67010859e-01 -1.64655760e-01 1.55559871e-02 -5.90169383e-03 1.29641220e-01 -2.60333857e-03 -1.97572872e-01 -5.47120459e-02 -4.45195735e-02 1.27988145e-01 -3.00328340e-03 2.52373307e-03 2.16616213e-01 1.43674556e-02 1.03387898e-02 2.92664375e-02 9.65026673e-03 1.64830200e-02 6.09058104e-02 -4.76736017e-03 -1.88263610e-03 -2.09682677e-02 8.32651481e-02 2.23688222e-02 -1.69006654e-03 -1.54780066e-02 6.63701072e-03 1.31722614e-02 5.08994702e-03 1.49982432e-02 -1.79422193e-03 4.15884377e-03 -8.29349621e-04 1.66860484e-02 -1.67223215e-01 7.27333920e-03 -3.38481786e-03 6.52989326e-03 1.24950208e-01 -2.11028889e-01 -1.16472483e-01 -1.36920689e-02 -9.35593024e-02 9.74404800e-04 -1.80634242e-02 -1.72509566e-01 -2.88941083e-03 -1.08871758e-01 -1.78591665e-02 -2.24237189e-01 1.46324197e-02 3.03429714e-03 1.52426027e-02 -1.22524891e-02 -6.39471114e-02 3.71555565e-03 3.07435542e-03 -8.32127109e-02 -1.51948398e-02 3.20908683e-03 -4.52157483e-03 1.25430688e-01 2.54855622e-02 2.43651196e-01 -5.66890277e-02 -1.50541509e-05 -8.75626109e-04 9.92184952e-02 1.19857632e-01 -1.52719289e-01 -2.24608686e-02 4.26734285e-03 1.63483042e-02 -1.98006034e-01 -7.08539039e-02 1.26230910e-01 -3.01334937e-03 6.12990670e-02 3.83281149e-03 1.68283284e-01 2.45881543e-01 -1.48386687e-01 -1.35524664e-03 -7.22987996e-03 1.32174104e-01 -2.51497421e-02 -1.90713052e-02 2.41148900e-02 9.40980688e-02 1.16376795e-01 1.39605924e-02 2.10853681e-01 1.14089660e-02 7.12612346e-02 7.87484497e-02 1.43946335e-03 2.32352033e-01 -5.37748355e-03 2.09830515e-03 -3.88334394e-02 2.11503711e-02 9.48816538e-03 7.11337104e-02 8.15693811e-02 -2.57000737e-02 -5.03110886e-03] [ 0.03270066 0.15122835 -0.02175895 -0.09382509 0.00402188 0.07835049 0.1467235 0.07737884 -0.01275773 0.00481583 -0.17555495 -0.01444207 -0.00080236 0.08884535 0.0675507 0.01599276 -0.00043138 0.18036015 -0.13411367 -0.08823074 -0.21061364 0.11560431 0.18051286 0.13804299 0.010896 -0.01434668 0.18710886 0.00376563 -0.17783624 -0.14249451 -0.00343441 0.12290831 -0.00916893 0.00612263 -0.00116273 0.00081741 -0.00472645 -0.00094985 -0.02701475 0.17290634 0.19495592 -0.00049095 -0.00503707 -0.01753994 0.10413281 -0.11027545 0.03452826 0.01389079 0.00712813 0.00857719 0.00719634 0.0219198 0.02156533 0.00722804 0.00673889 0.01788797 -0.07158663 0.01281654 -0.0140279 0.01156742 -0.00654875 -0.19916591 0.05036085 -0.00769507 -0.09049624 0.03520153 -0.01352083 -0.06384572 0.00632035 -0.06188434 -0.15114774 -0.17816016 0.0243124 0.00632314 0.01561376 -0.00522349 -0.09119829 0.08957806 0.00103049 -0.06334093 -0.01595338 0.00155525 0.00317923 0.08602627 -0.05078908 0.16898204 -0.21015291 0.00785815 0.00450915 0.17788641 0.0912537 -0.06997558 0.00210393 0.00248035 0.01956784 -0.14453286 -0.01597516 0.17070432 0.00936066 0.037541 -0.01529733 -0.06633203 0.2151248 -0.13510555 -0.00628588 0.00165211 0.1510145 -0.01015989 -0.01368829 -0.06782667 0.15888262 -0.02676341 0.00860975 0.10000183 0.00845457 -0.11978015 0.00797115 0.0057922 -0.05925169 0.01344034 -0.00745643 0.16688833 0.0173035 0.00202665 0.04370727 0.00517202 -0.14617395 0.00204823] Cos Similarity tf.Tensor(0.57350016, shape=(), dtype=float32) (128,) (128,) [ 5.68675175e-02 2.94889044e-02 4.52202410e-02 3.28677217e-03 -1.94320474e-02 -1.24792919e-01 8.79330263e-02 -1.24590158e-01 1.73006244e-02 2.38623121e-03 -1.66562703e-02 -6.66366937e-03 1.29482634e-02 -1.14427425e-01 2.54935082e-02 -3.46522890e-02 1.09346909e-02 -1.77422881e-01 -1.70875400e-01 -4.37241718e-02 5.99922165e-02 -5.33978641e-02 -2.72322688e-02 7.57263973e-02 1.08222608e-02 -2.65247794e-03 -1.84991002e-01 -7.98066892e-03 1.99803486e-01 1.26304984e-01 -1.89588159e-01 2.12083664e-02 1.29585033e-02 -1.43672545e-02 -1.19867630e-01 -3.22920717e-02 -8.30382202e-03 3.78343053e-02 -2.92700413e-03 -1.42732918e-01 -4.23716567e-02 -2.49673775e-03 5.29036042e-04 -8.83489661e-03 -1.71334133e-01 1.74354598e-01 6.09335974e-02 1.84118096e-02 1.47398701e-02 2.40051537e-03 6.59280550e-03 -2.52369884e-03 -3.36131733e-03 3.84257454e-03 -9.10388865e-03 1.66372478e-03 1.41737312e-01 -2.88085267e-03 1.76215731e-02 4.08650172e-04 1.31009668e-01 1.95828959e-01 8.61214101e-02 -2.91608903e-03 6.53746128e-02 1.13080047e-01 -7.43581401e-03 1.73613980e-01 -7.48078059e-03 -1.83799729e-01 5.78617025e-03 1.34389192e-01 6.17844053e-03 3.95937423e-05 -1.83294981e-03 1.82020050e-02 -1.01054117e-01 -7.37707987e-02 -2.87806033e-03 -6.28062338e-02 6.87510846e-03 -5.04855625e-03 3.99373518e-03 -1.78198218e-01 -1.18733950e-01 2.35172417e-02 1.24340661e-01 3.88836185e-03 7.79342256e-04 6.85901716e-02 -1.58221051e-01 1.29559845e-01 1.04076341e-02 1.16130617e-02 -1.30893867e-02 3.96319777e-02 -1.31970286e-01 -1.56752616e-01 -1.00026792e-03 -1.09832287e-01 8.90123695e-02 1.73772097e-01 -8.25008377e-02 1.78370059e-01 7.29897118e-04 -4.95513156e-03 1.63527057e-01 1.71890017e-02 1.50201656e-02 -1.70112282e-01 1.47711530e-01 -1.85255647e-01 -9.66653228e-03 -5.10591781e-04 2.97311302e-02 -1.26111895e-01 1.28926560e-01 1.39510352e-02 1.53810292e-01 1.69770774e-02 -5.94058307e-03 4.92472984e-02 2.24635955e-02 -1.87062006e-02 8.65702406e-02 3.14178765e-02 -8.45965073e-02 -9.68536083e-03] [ 5.63560836e-02 5.45416549e-02 4.22220044e-02 5.00863269e-02 -1.75733138e-02 -1.20380886e-01 1.13399878e-01 -1.12195067e-01 1.73807144e-02 9.03464097e-04 1.24550454e-01 -6.45306660e-03 8.45666230e-03 -1.01718470e-01 -5.09133190e-02 3.38416211e-02 1.25984726e-02 -1.80663198e-01 -1.82897210e-01 -4.52716015e-02 7.40375966e-02 3.15452367e-02 -1.91730633e-02 7.81104863e-02 8.24913569e-03 2.34490843e-03 -1.88090280e-01 -8.99370178e-04 1.93134725e-01 1.40302837e-01 -1.80633053e-01 -1.10259078e-01 9.85811744e-03 -2.19523050e-02 -1.08698480e-01 -4.52927351e-02 -3.16248159e-03 7.97955617e-02 -1.04144011e-02 -1.56305328e-01 -3.30456793e-02 -1.40353327e-03 2.51182082e-05 -6.03381637e-03 -1.62292093e-01 1.03519045e-01 2.13196073e-02 1.77140571e-02 1.34164812e-02 -9.96141601e-03 5.18665509e-03 -6.16190908e-03 -2.46089476e-04 1.76678365e-03 2.28406815e-03 6.45740842e-03 -8.07103217e-02 1.32969404e-02 1.64004695e-02 1.90161646e-03 1.72490850e-01 1.93475112e-01 1.18141256e-01 2.70398986e-03 1.72152832e-01 1.55987203e-01 4.33825160e-04 1.87892690e-01 -6.71978574e-03 -1.31054819e-01 -2.55450420e-02 1.78433850e-01 5.66670345e-03 5.73131861e-03 -2.36991982e-04 2.36053970e-02 4.16622460e-02 -4.53394502e-02 -1.16832042e-03 3.87637294e-03 7.17783999e-03 -2.14590202e-03 3.11735459e-03 -1.66893765e-01 -4.52725440e-02 7.42576122e-02 7.71683594e-03 3.69284279e-03 1.88991113e-03 -4.99241576e-02 -1.70735344e-01 -1.89311318e-02 9.88468900e-03 1.52431149e-02 -1.69832520e-02 -1.39164299e-01 -1.72337055e-01 -4.29260731e-02 -1.03445514e-03 -9.91262347e-02 1.09710716e-01 1.74728006e-01 -1.16781607e-01 1.56860873e-01 1.46723748e-03 5.08442428e-03 1.00874424e-01 1.83118358e-02 1.57475565e-02 -1.49246618e-01 1.63044751e-01 -1.76971406e-01 -5.22918859e-03 -4.47767787e-03 8.78136663e-04 -1.75273493e-01 1.00997880e-01 1.55741302e-02 1.36226803e-01 6.39531761e-03 -1.15648070e-02 -2.51724827e-03 2.56881602e-02 -1.33191459e-02 1.36132672e-01 3.83145325e-02 -5.38777709e-02 -1.44778611e-02] Cos Similarity tf.Tensor(0.8556137, shape=(), dtype=float32) (128,) (128,) [ 2.36202791e-01 2.02453025e-02 -1.02060206e-01 1.16974987e-01 -7.58201769e-03 -3.51758525e-02 -8.33709389e-02 8.91365558e-02 -5.46100957e-04 -1.45400967e-02 4.06545065e-02 -2.40947492e-03 2.24176655e-03 1.42652318e-01 5.37542179e-02 -6.20549470e-02 -1.36119276e-02 -1.30872518e-01 -7.28646219e-02 -7.93081615e-03 9.23008248e-02 -9.17338282e-02 -1.23759103e-03 5.95173314e-02 -3.37602720e-02 -1.87295629e-03 1.86226785e-01 -1.77342240e-02 8.95246938e-02 2.21039861e-01 -1.03172958e-01 -1.49830490e-01 -5.73916873e-03 -1.93203520e-02 -2.17448860e-01 -3.70660946e-02 -1.99424778e-03 -1.21812075e-01 -5.15514845e-03 -1.92514688e-01 8.81493837e-02 1.36285853e-02 -3.18740588e-03 -5.00933616e-04 -7.06084743e-02 -1.27845287e-01 -2.45467722e-02 -2.13830126e-03 1.59313448e-03 7.19671790e-03 9.75019531e-04 -6.95485578e-05 -9.16921906e-03 3.97804938e-03 -1.70066487e-03 3.29956855e-03 -8.71852115e-02 -4.50408692e-03 -2.21737707e-03 -2.11384194e-03 -7.35768750e-02 2.15353012e-01 7.86359608e-02 -9.67839826e-03 1.01837792e-01 7.74657056e-02 -1.29328463e-02 -1.96053326e-01 -4.36857808e-03 -1.74499471e-02 -8.61561522e-02 3.49250957e-02 1.05237239e-03 8.38273729e-04 -1.30802188e-02 -2.60763988e-03 9.60348099e-02 1.69939563e-01 5.09183994e-03 2.47656345e-01 -1.39463292e-02 -2.21712831e-02 -4.37912252e-03 -9.39059779e-02 -2.37861902e-01 4.06407602e-02 5.40748015e-02 9.84653831e-03 -3.89547017e-03 7.58231804e-02 1.29954845e-01 -3.79145406e-02 -3.12134973e-03 7.44078681e-03 -6.43645553e-03 -1.10685378e-02 1.02387510e-01 1.21868007e-01 -6.77793287e-03 2.00912170e-02 -1.37127817e-01 -2.22160935e-01 -1.79538175e-01 1.19674280e-02 -9.20724962e-03 1.24656027e-02 -8.16549212e-02 -4.94068535e-03 -4.63625230e-03 -1.41506389e-01 1.12359792e-01 2.31791273e-01 -6.35969313e-03 -2.11258680e-02 -2.04543602e-02 -8.42966586e-02 1.59408003e-02 -7.30333664e-03 6.22465573e-02 -2.26933174e-02 -2.75962893e-03 -9.13924351e-02 5.60319331e-03 -2.57726759e-02 -4.41381820e-02 7.04798673e-04 7.89619312e-02 -1.52356084e-02] [ 0.23981197 0.00267177 -0.09479827 0.10382655 0.00107165 -0.04141518 -0.0664333 0.08646972 0.00098049 -0.00944451 0.03553481 -0.00591469 -0.00322388 0.1224559 0.05612396 -0.05718452 -0.01177854 -0.14556117 -0.03650154 0.00741106 0.07512757 -0.08227732 -0.00075442 0.13052133 -0.03562682 0.00182311 0.1932256 -0.01061754 0.08757894 0.21164076 -0.11826494 -0.1237753 0.00179857 -0.01148766 -0.21466595 -0.03877949 -0.01005619 -0.08913562 0.00290534 -0.16138189 0.07652134 0.01387153 0.00116394 -0.00308175 -0.06700467 -0.12731104 -0.02940053 -0.00744293 0.00208843 0.009188 0.00253928 -0.00081063 -0.01048578 0.0046831 -0.00134799 0.00072393 -0.07823189 -0.00964447 0.00092703 -0.00723308 -0.03359832 0.21095519 0.05932062 -0.01519333 0.08075763 0.06989696 -0.00893026 -0.21977326 -0.00244991 -0.0482383 -0.14015341 -0.10890543 0.00125571 0.00149489 -0.01257435 -0.00088033 0.12993634 0.19315808 0.00578343 0.23151195 -0.01807533 -0.02886816 0.00219222 -0.09509473 -0.23793621 0.07788007 0.07482523 0.00736476 -0.00292372 0.07597121 0.1262663 -0.09947486 -0.00502697 0.00561403 -0.00367432 0.04127153 0.05435459 0.11702984 -0.00759469 0.01663544 -0.13749994 -0.1979276 -0.17260706 -0.07016198 -0.00980538 0.01676751 -0.0830037 -0.00129226 -0.00195923 -0.1120393 0.10807827 0.23589425 -0.00620238 0.04752287 -0.02005642 -0.09693456 0.04672214 -0.01036287 0.05098058 -0.01980655 -0.00323775 -0.07381447 0.00762671 -0.01971035 -0.09866085 0.00578027 0.06776531 -0.01218638] Cos Similarity tf.Tensor(0.96464896, shape=(), dtype=float32) (128,) (128,) [ 1.55434459e-01 1.59624562e-01 -7.03109382e-03 -9.15742740e-02 -1.25590013e-02 -1.07431076e-01 3.63346040e-02 -8.33408087e-02 5.61552588e-03 -3.51135880e-02 1.23035014e-01 -6.33340189e-03 -2.29185838e-02 1.15986571e-01 1.36504164e-02 1.33845568e-01 -4.08397475e-03 1.82936579e-01 -1.86301127e-01 -3.98542136e-02 -1.77947417e-01 -3.29300761e-02 -1.63407549e-01 -9.87134874e-03 -1.81273967e-02 7.76506276e-05 -9.29850191e-02 -6.49677403e-03 -4.14052643e-02 1.24627553e-01 -1.95315003e-01 -1.21892825e-01 -1.23493681e-02 -1.54756401e-02 -7.65673295e-02 -1.07243820e-03 -3.41785997e-02 1.60465539e-01 -6.25592889e-03 -6.12006597e-02 -1.13545731e-01 -7.72130163e-03 -7.75493355e-03 1.97402108e-03 1.05928466e-01 -2.01206937e-01 -1.02832112e-02 3.70516907e-03 5.40316105e-03 -6.06089074e-04 6.76689157e-03 -2.28700670e-03 -1.31108817e-02 1.32381555e-03 -1.01524414e-02 8.51398625e-04 -1.13786317e-01 -3.30996845e-04 4.15630685e-03 -1.25395330e-02 5.31034470e-02 -1.43200606e-01 4.11861464e-02 -7.63092935e-03 1.43755496e-01 -1.69065624e-01 -3.70655023e-03 1.10486396e-01 -2.55905539e-02 1.27806365e-01 -1.86116442e-01 2.05960393e-01 -1.41578878e-03 9.85077024e-03 -2.73398627e-02 3.52299842e-03 1.81236323e-02 1.17762357e-01 4.07982059e-03 9.10830200e-02 -1.13128647e-02 -4.88415500e-03 6.41093217e-03 -1.97249293e-01 2.60738656e-02 -1.73857212e-01 -1.15592398e-01 5.97083475e-03 -4.57871938e-03 1.11845415e-02 -1.61015108e-01 1.16235517e-01 1.11594716e-04 9.42848343e-03 -1.82855129e-02 -7.03680962e-02 -3.53279361e-03 1.03965916e-01 2.00322247e-03 1.69736609e-01 -2.14332744e-01 -5.92148164e-03 1.89397633e-01 -5.66325560e-02 -9.77696571e-03 6.75795460e-03 -8.56124014e-02 2.18260158e-02 -7.20052840e-03 8.97824764e-02 -1.03794478e-01 -5.11569045e-02 -9.83735826e-03 -5.40509485e-02 -4.91129644e-02 6.01623841e-02 -1.05380982e-01 -1.73471309e-02 1.37402583e-02 -1.46542182e-02 1.27630793e-02 -8.26754943e-02 6.78766193e-03 1.09681056e-03 -1.81613505e-01 4.34968062e-02 -1.05274096e-02 -1.43033694e-02] [ 0.2163461 -0.00037717 -0.02668069 -0.14953049 -0.00805382 0.03389242 0.04581003 0.08133242 -0.0029282 -0.01071731 -0.20066401 -0.03334758 -0.01301533 0.06542224 0.07289627 0.12546009 0.00703318 0.11396231 -0.07142897 -0.02053501 -0.15971956 -0.09847157 0.07252498 -0.0103655 -0.00111267 0.00107478 -0.12454307 -0.01662154 0.12224867 0.12786883 -0.1575514 -0.11953487 0.0032595 -0.00254822 0.08490388 -0.01080944 -0.01187984 0.05555641 -0.00747916 -0.10619699 0.00793074 -0.00116706 -0.00435365 -0.01156182 -0.13482073 -0.05560194 0.03843932 0.01184153 0.0040211 0.01691678 0.00462377 -0.00306796 -0.00930624 0.0048866 -0.00689095 0.00313332 -0.15851529 -0.00128206 0.00271912 -0.0197892 0.08488877 -0.16977027 0.20615393 -0.00695767 0.0580037 -0.04999464 -0.00909979 0.10470411 -0.00737877 0.15209512 -0.11467748 0.05396015 -0.0005031 0.00281609 -0.01812806 0.00794046 0.1656153 0.16914679 -0.00059134 0.01909176 -0.00633977 -0.00081754 0.01705819 -0.1893389 -0.1963323 0.12936208 0.11428142 0.00902788 -0.0067972 0.0978249 0.08428289 0.04102024 0.0069653 0.00632014 -0.00125827 0.17295969 0.08355741 -0.17652144 -0.00506329 0.19579843 -0.18134913 -0.04036222 0.18528007 0.19508554 -0.01501839 0.01042261 0.1421647 0.02216195 0.00532335 -0.12885574 -0.05666471 -0.00069893 0.00079127 0.05134833 -0.02754687 0.14691842 0.1162924 -0.02240177 0.12981215 -0.01590709 0.01578151 0.00572934 0.01300285 -0.01858912 -0.07583164 0.05479514 0.04754774 -0.00806951] Cos Similarity tf.Tensor(0.38047904, shape=(), dtype=float32) (128,) (128,) [ 0.10710153 -0.16917849 0.07423345 -0.01083324 -0.01079078 0.00339409 -0.1730858 0.0889592 0.01040654 -0.00318136 0.05867423 0.01820122 0.01606385 -0.0098364 -0.01866686 -0.0239904 0.0233991 -0.04105202 0.11160871 0.00597583 -0.15224148 -0.03705287 0.16026278 0.08258826 0.01221785 -0.00156034 0.18136251 0.01741785 -0.06276956 -0.09989014 -0.18848667 0.19593343 0.01103716 0.02698625 0.10667603 0.01036049 0.02664397 -0.13446899 -0.00883423 0.11191424 0.17418334 -0.00187135 -0.01198033 -0.03571351 -0.0138669 0.11950978 -0.13912031 0.03018848 0.00841413 -0.01183019 0.00124507 0.00199788 0.01105633 0.00933756 0.0137832 0.01099602 -0.08525942 0.01901523 0.02764139 -0.00401222 0.12113579 0.1506819 -0.03376293 0.00979769 -0.02934656 0.19698116 0.00591567 0.04501546 0.0281017 0.00055022 -0.03003217 0.09981729 0.00860229 -0.00086648 0.00608592 0.04062727 0.03510985 0.06004494 0.00498422 0.02232962 0.00518638 -0.00824142 0.00943724 -0.1709088 -0.17952897 0.16540398 0.19549547 0.02127658 -0.00120299 0.10663398 0.11730427 -0.03180107 0.01756846 0.03245025 0.00402399 0.18391298 -0.09250052 -0.1712152 0.0074534 0.03021976 0.20072095 -0.09487047 0.1475486 0.16129102 0.00404648 0.01156627 0.06393313 -0.00284018 0.02432615 -0.15760821 -0.0291728 -0.11346029 0.00829744 0.11843612 -0.00467548 0.19801489 0.07408239 -0.01722394 -0.13709097 -0.01829576 -0.0236781 0.08432044 0.03052229 -0.02342976 -0.1864251 0.04092431 -0.08644216 0.00587811] [ 0.17828801 -0.12347747 0.06640255 -0.11310989 -0.00169737 -0.00694414 0.0959816 -0.0694353 0.01848294 -0.00097278 -0.1869985 0.0165185 0.00382433 0.11267409 0.04606368 -0.1463924 0.02248332 0.11121088 0.02370974 0.05102449 -0.15580459 -0.03869409 0.11060511 0.04050059 0.02886327 0.01596134 0.16528611 -0.00079678 0.13982555 0.15633316 -0.11714732 0.13079865 -0.04052596 0.01108345 -0.15040119 -0.02045578 0.0145412 0.01601203 -0.02235464 0.0603246 0.11260276 0.00222048 -0.00200129 -0.01475336 0.06959514 0.1656492 -0.11642934 0.01265488 0.00788926 0.02762319 -0.00564658 0.00841177 -0.00216115 0.00461139 0.01531415 0.01479523 -0.12521999 0.01520743 0.01365693 0.00122006 -0.17495282 -0.16638607 -0.07110631 0.01711587 -0.12507795 -0.13337018 0.00188708 0.16941313 0.02126934 -0.08409831 0.08514433 0.06771099 0.00619065 0.01040699 0.00897722 0.02851033 0.09949184 0.07764421 -0.00071029 -0.09584028 -0.00830379 -0.00595252 0.01434058 0.08492979 -0.14175767 0.17523466 0.17248848 0.00462492 -0.00026348 0.10588294 0.0992307 0.16385968 0.00416414 0.00723158 0.00377855 0.15839428 0.1373615 -0.18089965 0.00160663 0.11307302 0.18589628 0.02783187 0.04112408 0.05256021 0.01229944 0.03234798 0.12046162 0.00371588 0.02598313 -0.15742603 0.01756031 -0.15390082 0.00480856 0.02175859 0.06879452 0.12746318 0.09379999 0.01165396 0.14300026 -0.01992137 0.00679284 0.00846225 -0.02359458 -0.02740051 -0.16099718 -0.00989231 -0.06765216 -0.00235787] Cos Similarity tf.Tensor(0.41584533, shape=(), dtype=float32) (128,) (128,) [-1.33709863e-01 2.68793106e-02 -8.43069404e-02 1.51234176e-02 2.64299731e-03 -3.32740583e-02 -5.31595163e-02 2.08614662e-01 7.08842636e-05 -3.71773401e-03 -6.32909089e-02 -4.12628008e-03 -6.67206012e-04 3.28345634e-02 -4.75464687e-02 -8.39581192e-02 -2.04710029e-02 5.17164767e-02 3.83064859e-02 1.70057580e-01 4.15371172e-02 1.33931562e-01 -1.17920048e-03 2.12650031e-01 -5.06318063e-02 3.63862899e-04 8.87078643e-02 -3.62611637e-02 9.20095854e-03 2.79893167e-02 1.72567680e-01 8.81785303e-02 2.75171874e-03 -4.04162630e-02 -2.10441709e-01 2.61657033e-02 -1.08814752e-02 1.68540254e-01 -1.30255517e-04 -5.12611307e-02 1.32384881e-01 8.32515024e-03 -2.08118116e-03 -7.14929134e-04 -1.05470426e-01 1.66164681e-01 1.24845384e-02 -8.29619635e-03 -5.90319559e-03 7.13614328e-03 7.88677204e-03 4.71215649e-03 -1.86475310e-02 1.57262621e-04 -2.06319932e-02 6.01872103e-03 3.40016112e-02 -1.63939018e-02 -7.58754695e-03 -9.63324495e-03 -1.75612256e-01 -3.68972160e-02 -7.50973821e-02 -1.70711819e-02 1.33691996e-01 -5.10802865e-03 -1.38803329e-02 -2.34731473e-02 -1.45834824e-02 -4.16132063e-02 -1.62003502e-01 -8.22921991e-02 5.43429889e-03 6.86985441e-03 -1.97889563e-03 -3.81815503e-03 -1.92009956e-01 -8.16265941e-02 -3.77663434e-03 2.02356249e-01 -2.34915055e-02 -1.15413561e-01 -1.33766979e-02 1.15641050e-01 2.64392700e-02 -4.66153398e-02 1.96394518e-01 2.85948371e-03 -1.23139611e-02 -3.92015129e-02 8.23001638e-02 2.02090740e-01 -1.74768623e-02 1.06890509e-02 -1.04398618e-03 1.62036717e-01 -1.21293869e-03 -1.64686188e-01 -2.05497239e-02 -2.12453529e-01 -1.93032637e-01 -1.04805594e-03 -1.03678204e-01 -1.06152952e-01 -2.32891180e-03 -8.89000483e-03 3.76775563e-02 -2.23956704e-02 -4.29755151e-02 2.07549348e-01 6.18365547e-03 1.98479310e-01 -1.50473705e-02 6.24415744e-03 6.24302216e-02 -1.33497804e-01 -2.16772184e-01 -6.34741457e-03 9.35723558e-02 -1.97019204e-02 3.19703831e-03 -2.56997067e-02 3.62965232e-03 -2.27555316e-02 -4.26847599e-02 3.44895408e-03 7.66697377e-02 -1.37348939e-02] [-1.21840835e-01 1.59631819e-01 -6.42962381e-02 1.73618287e-01 -1.54498760e-02 1.42365918e-01 1.22992008e-03 1.35125741e-01 -1.70994713e-03 -1.67793315e-02 1.47188202e-01 -1.80784836e-02 -5.68695739e-03 2.12301970e-01 -2.52966979e-03 2.49840431e-02 -2.56578885e-02 -1.63161546e-01 2.33876929e-02 -6.88385591e-02 8.56532529e-02 7.47973099e-02 1.51293024e-01 7.88143650e-03 -1.08038494e-02 -4.12008594e-05 1.27370030e-01 -1.47205582e-02 9.90228504e-02 1.40327856e-01 -1.15496377e-02 1.50982171e-01 -5.72594069e-03 -1.01404265e-02 -1.27271369e-01 -3.06350626e-02 2.72764661e-03 -6.33877590e-02 -3.45914019e-03 -1.28169447e-01 -1.09181572e-02 -4.80178557e-03 -4.15281951e-03 1.64382299e-03 -1.17844045e-01 1.57594502e-01 1.12338096e-01 -2.13864744e-02 -1.82574964e-03 6.70920871e-03 8.21080117e-04 2.71862838e-03 -1.13275992e-02 1.56779206e-04 -4.28762054e-03 3.21869296e-03 -1.87732577e-01 -4.95662075e-03 -1.21855899e-03 -1.87832266e-02 8.83473232e-02 1.47606790e-01 1.85421050e-01 -1.74107179e-02 5.08120321e-02 1.60624355e-01 -1.02262199e-02 -1.68350160e-01 -6.74653007e-03 1.13515906e-01 1.54375076e-01 -1.86375126e-01 8.98259634e-04 2.90242117e-03 1.52509904e-03 1.03141705e-03 7.05531538e-02 -1.53054342e-01 -8.24869494e-04 1.13546131e-02 -2.14128699e-02 3.72354873e-02 -5.32426347e-04 -1.56807154e-01 2.48140376e-03 4.79863733e-02 -1.36919126e-01 3.80439707e-03 -1.59639530e-02 -1.27212524e-01 9.45933685e-02 -9.12093278e-03 -4.20364551e-02 3.39872413e-03 -1.12403103e-03 -1.39171764e-01 5.85171580e-02 1.67706996e-01 -1.58341490e-02 -7.33057112e-02 -1.19209148e-01 -9.28624123e-02 1.51791289e-01 1.19951144e-01 -1.15748802e-02 -1.12535548e-03 -9.57491025e-02 5.78220887e-03 -4.06851433e-02 6.55985624e-02 1.53888002e-01 1.25677049e-01 -8.13257322e-03 -8.53990614e-02 4.99620698e-02 1.41715139e-01 4.91253287e-02 -1.52121019e-02 -5.01126982e-02 -2.63176337e-02 3.82197509e-03 1.58838436e-01 2.00799620e-03 -3.94938327e-02 1.35254115e-01 4.80739586e-02 6.94045946e-02 -1.23730237e-02] Cos Similarity tf.Tensor(0.0149306655, shape=(), dtype=float32) (128,) (128,) [-0.14901668 -0.02329015 0.04021781 -0.12331159 -0.0080282 -0.01596675 0.00781412 0.08430067 -0.0035438 -0.01517469 -0.08104282 0.00569775 -0.00953238 0.1465835 0.00396432 -0.18764059 -0.01242791 -0.18344231 0.14320834 -0.06875627 -0.04636751 0.1258713 -0.11261775 -0.01590198 -0.02018824 -0.00304091 -0.04110467 -0.01478385 0.0259179 -0.18090062 -0.1632412 0.02381971 -0.00279787 -0.0183491 0.21892583 -0.04472231 0.00022708 -0.14820203 -0.00120947 -0.19910961 -0.18651718 0.0068041 0.00137698 -0.01664463 0.21390107 -0.00044987 -0.03463522 -0.00791743 -0.00162651 0.00817812 0.00667691 0.01036421 -0.00671265 0.00312266 0.00126309 0.01333336 -0.16143356 0.00510793 -0.02058737 0.00699391 0.01637816 0.1837101 -0.18505244 -0.00475881 0.14029773 -0.17741638 -0.0037666 0.00567347 -0.01316036 0.01542142 0.04905235 0.01371174 0.00881372 0.00674833 -0.0052014 0.00076529 -0.01941492 -0.09545228 -0.00028414 0.08049629 -0.01646861 0.00224118 -0.00735883 0.09901926 -0.18110181 0.00710517 0.12900029 0.00146059 -0.00554316 0.0999999 -0.1297552 -0.03800511 0.00635078 0.0103376 0.01225028 -0.13171102 -0.03867614 0.17676888 -0.00758615 -0.0295892 0.14143997 -0.0050679 -0.09916009 -0.17372203 -0.01909304 -0.01351561 0.03779335 0.00920502 -0.02237258 -0.13198976 0.1382835 -0.21736935 -0.00980688 0.1528381 -0.02772197 -0.20448951 0.08543921 0.00589358 0.09666929 -0.00718496 -0.00216804 -0.06951608 0.0143267 -0.02320434 -0.03915467 -0.01743711 0.0282835 -0.00995696] [-0.14760622 0.00149568 0.07359882 -0.13336535 -0.0254588 -0.15426245 -0.09046949 0.06303253 -0.00050239 -0.0032901 -0.14819446 0.00756471 -0.00044523 0.15506643 0.00036951 -0.18961515 -0.00104398 -0.07331122 0.20083202 -0.00676122 -0.16541967 0.04902451 -0.10450324 0.00453551 -0.02443629 0.00038595 0.14852257 -0.01515856 0.01348065 -0.22995111 -0.02483294 -0.0302435 -0.00597614 -0.00999973 0.23290135 -0.00184931 0.00342449 -0.17591016 -0.00817063 -0.11630509 -0.06037002 -0.00697237 0.00459276 -0.01595589 0.22107264 -0.03758174 0.03651249 -0.00386118 -0.0033264 0.01628689 0.00641122 0.01153986 -0.01357891 0.00364115 -0.00230186 0.01436261 -0.13909547 -0.00322679 -0.00674226 0.0040767 0.00890121 0.00449564 -0.22883306 0.00773113 0.20495762 -0.07399748 -0.00120566 0.05603972 -0.01188778 0.00120165 0.07995988 -0.10832742 0.00155872 0.00475886 -0.00737842 -0.00310326 -0.02375089 -0.1558074 -0.00272332 0.15846004 -0.01827049 0.00023648 -0.00535995 -0.02317043 -0.09940202 0.0677119 -0.05515076 0.00626901 -0.0039136 0.13259506 0.03809588 -0.21230763 0.00364976 0.01261428 0.01414769 -0.13417609 -0.0366427 0.02521178 -0.00144382 0.15651295 0.19637603 -0.02230155 -0.12884146 -0.13039312 -0.01464045 -0.0133917 0.04402234 0.00832837 -0.00158381 -0.14694056 0.16956913 -0.14287224 0.00401821 0.09058187 -0.04639332 -0.14853892 -0.08800539 0.00999314 -0.02367944 -0.01452108 -0.00293364 -0.0088291 0.00486656 -0.01754535 -0.10375822 -0.02357855 0.00998618 -0.0038637 ] Cos Similarity tf.Tensor(0.7509589, shape=(), dtype=float32) (128,) (128,) [-4.28776182e-02 -1.46563083e-01 -8.05013031e-02 -9.83984675e-03 -9.55053605e-04 1.59517482e-01 -1.03715733e-01 1.10988528e-01 -1.35229807e-02 -1.22721994e-03 8.94435402e-03 1.48933809e-02 1.64880101e-02 -1.58100910e-02 7.59204850e-02 -1.00539193e-01 3.29584582e-03 6.72640800e-02 -1.28757909e-01 -2.64724884e-02 9.24885049e-02 -1.23431884e-01 -4.58925450e-03 -2.77540572e-02 2.08795071e-02 -9.13550518e-03 -1.83495358e-04 2.28202958e-02 -8.73732567e-02 -1.97966278e-01 -2.02476770e-01 5.38594164e-02 9.60098769e-05 2.10823258e-03 -3.47209759e-02 -1.97720900e-02 5.53587684e-03 1.43076405e-01 -8.08716379e-03 1.59416229e-01 1.53193653e-01 -7.48149026e-03 4.93285619e-03 -1.42473551e-02 -2.50363778e-02 1.97490975e-01 5.66117726e-02 3.94697813e-03 1.83674647e-03 8.24256521e-03 1.42416693e-02 1.47116398e-02 7.20271608e-03 6.83868956e-03 6.51217904e-03 1.81058813e-02 -1.33284077e-01 -1.25684021e-02 -8.16543493e-03 1.62230022e-02 5.91331795e-02 -1.28986612e-02 -1.75832406e-01 2.45085568e-03 -1.34917438e-01 7.02095255e-02 2.49102642e-03 -1.77411273e-01 2.10195705e-02 2.21381217e-01 2.77509987e-02 -1.30631372e-01 1.10440403e-02 -4.62256232e-03 3.15513765e-03 3.48223327e-03 5.81328608e-02 -2.31066495e-02 1.62298942e-03 1.04322821e-01 -1.35966856e-02 3.04123433e-03 -5.89314802e-03 1.70702189e-01 -1.15159683e-01 1.11296820e-02 -1.10104769e-01 4.46004514e-03 -4.69427695e-03 2.05864102e-01 -1.80235773e-01 1.56681195e-01 -9.97647643e-03 5.96743170e-03 2.27350667e-02 1.90864965e-01 -1.66481450e-01 2.79990565e-02 1.75019298e-02 1.35860831e-01 7.05502629e-02 1.60458773e-01 1.62603751e-01 -1.29751727e-01 5.82803739e-03 -3.23919654e-02 -1.11861013e-01 -6.15312112e-03 -1.48879578e-02 -2.08783243e-02 -3.26175690e-02 -4.82539088e-02 -4.12323838e-03 5.88245802e-02 -7.92323425e-03 -2.41266593e-01 -5.33781759e-03 3.78737226e-03 2.13842034e-01 1.92710590e-02 1.07473717e-03 1.01969466e-01 2.71430414e-04 1.58457048e-02 -9.65425819e-02 -4.57921438e-03 -5.83156534e-02 -7.16411602e-03] [ 6.80019930e-02 1.87638864e-01 1.74740762e-01 6.98675364e-02 3.85446399e-02 1.03789203e-01 -1.50795668e-01 7.17853904e-02 -1.90066465e-03 2.70379689e-02 -5.14579974e-02 9.08551458e-03 2.35589407e-02 -1.00333929e-01 5.68949133e-02 -1.23055123e-01 3.44945453e-02 5.97445443e-02 2.14240804e-01 1.05762318e-01 4.30474207e-02 -5.50064398e-03 -3.47090326e-02 1.57831907e-01 4.77731824e-02 5.57581102e-03 1.72504067e-01 2.07023527e-02 -1.77410960e-01 -1.18513014e-02 -2.26569772e-01 1.81700841e-01 5.23962937e-02 5.46165779e-02 2.54451055e-02 1.86472870e-02 3.89205776e-02 1.89893954e-02 -2.55043693e-02 -1.39022261e-01 1.87400267e-01 -1.01129077e-02 2.87870876e-02 2.07312517e-02 2.62445211e-02 8.41007754e-02 4.68092412e-02 3.41639034e-02 2.92346515e-02 1.35982968e-02 1.92588996e-02 -4.57687164e-03 4.87334989e-02 3.44913974e-02 6.21805526e-02 4.69131805e-02 1.71400771e-01 1.31022988e-03 9.05053318e-03 3.09709031e-02 -2.22976208e-02 1.95083357e-02 -7.64014199e-02 1.81563925e-02 2.10182503e-01 -1.56997472e-01 2.16782056e-02 9.91058126e-02 4.56188060e-02 3.25780995e-02 -3.39512862e-02 5.99012338e-02 1.58483125e-02 3.09915505e-02 3.82805727e-02 5.04833721e-02 -1.08504258e-02 -2.39290968e-02 -2.86669321e-02 1.13448694e-01 6.37712935e-03 1.25880307e-02 1.19901411e-02 1.67779490e-01 9.73344147e-02 5.20351604e-02 -1.24703117e-01 3.68733108e-02 2.58146897e-02 1.71979256e-02 -1.60659309e-02 1.08976580e-01 4.02725907e-03 4.67416719e-02 2.24185251e-02 1.74745977e-01 1.23114437e-01 -1.23849079e-01 2.87617818e-02 1.84792385e-01 4.28337045e-02 8.27036276e-02 8.67967904e-02 -1.75536439e-01 1.70745589e-02 -2.09655724e-02 -7.90109038e-02 -1.28273154e-04 7.17063323e-02 2.32717201e-01 -1.35514081e-01 -1.83315277e-01 2.05359906e-02 -1.25123551e-02 -4.10685875e-02 1.18874628e-02 -1.31100699e-01 4.24830988e-02 -1.55351296e-01 7.30601605e-03 -2.05776207e-02 3.22028622e-02 1.54865896e-02 -1.71084271e-03 3.98151996e-03 1.75719894e-02 1.21410256e-02 9.91072226e-03] Cos Similarity tf.Tensor(0.16328159, shape=(), dtype=float32) (128,) (128,) [ 2.27618307e-01 -1.24523118e-01 1.24250457e-01 1.88834190e-01 -4.05856082e-03 4.77670170e-02 -9.11875442e-02 9.00733545e-02 5.03448443e-03 -1.02047892e-02 -1.47116557e-01 -9.84061789e-03 -4.12900746e-03 -1.65102080e-01 2.08830312e-02 -8.70491415e-02 -8.21926072e-03 1.47484690e-01 7.27630183e-02 6.76993802e-02 -9.24791545e-02 3.35904807e-02 1.44931868e-01 -8.29997584e-02 -9.06122569e-03 3.60296899e-03 2.88296416e-02 4.11581527e-03 -6.55816048e-02 -7.27935135e-02 -2.50807293e-02 -3.97682525e-02 2.61602388e-03 -1.57992076e-02 -1.98986933e-01 1.87743548e-02 -1.52676823e-02 -8.36757272e-02 -5.66743547e-03 -8.92404988e-02 -1.50254279e-01 -1.30873523e-03 -1.21791009e-02 1.06386924e-02 1.74197946e-02 1.23192966e-01 -1.56217575e-01 4.50313091e-03 5.32499002e-03 -7.45434640e-03 3.80625692e-03 3.55473184e-03 -7.02820625e-03 5.07374760e-03 -9.50051658e-03 1.39276674e-02 -1.09356739e-01 -6.09102007e-03 5.20968391e-03 -1.05816508e-02 1.37611404e-01 -2.03906283e-01 -3.51586640e-02 -3.25782858e-02 1.67461082e-01 1.48752004e-01 -1.07739456e-02 2.07525820e-01 9.02771764e-03 1.73974261e-01 -1.50682613e-01 -1.39705330e-01 2.89182551e-03 4.27411683e-03 -1.64542592e-03 -2.50225072e-03 -1.60299048e-01 -2.57457197e-02 8.92439857e-04 1.06360927e-01 -4.00243187e-03 9.91055463e-03 2.02131458e-02 1.29468173e-01 1.63263351e-01 -5.10879159e-02 9.77968499e-02 1.29537946e-02 -1.66434550e-03 -5.95968626e-02 8.09324756e-02 -2.65287850e-02 5.66660427e-03 1.17397876e-02 1.37963402e-03 -1.34086579e-01 -8.60724896e-02 7.15929177e-03 4.21693735e-03 -1.68397158e-01 -8.30143914e-02 5.58143891e-02 1.23467982e-01 -1.23922646e-01 1.46489358e-04 -5.68477949e-03 1.84903845e-01 -6.27631368e-03 -1.88666955e-02 3.69477049e-02 1.62345931e-01 5.64926639e-02 1.35624339e-03 -8.11818466e-02 -5.06874286e-02 1.59579277e-01 -5.96664660e-02 -9.75514296e-03 -6.39203563e-02 -1.76846478e-02 1.41451685e-02 -1.37841612e-01 -1.60929766e-02 2.53243893e-02 -1.86448768e-01 4.05804850e-02 -4.91793221e-03 -4.15888755e-03] [ 0.22182304 -0.10589471 0.14354889 0.18766238 -0.00491498 0.051163 -0.08723973 0.04243581 0.00579637 -0.01275377 -0.1447715 -0.01769221 -0.00678676 -0.14984895 0.04319814 -0.08101859 -0.00550953 0.14869638 0.08444701 0.06846444 -0.10605454 0.03421162 0.1398671 -0.0777815 -0.01007212 0.00341346 0.02738371 0.00417575 -0.0855379 -0.06856949 -0.03774149 -0.05625875 0.0017487 -0.01249703 -0.19344461 0.01701316 -0.01351481 -0.06693482 -0.00611012 -0.07213686 -0.14609699 -0.00890047 -0.01938028 0.01067905 -0.00692238 0.1232545 -0.15580499 0.00162483 0.00613064 -0.00739388 0.00092829 0.00258091 -0.00858469 0.00431064 -0.00398426 0.01229813 -0.13017625 -0.00460484 0.00618494 -0.0100097 0.15395395 -0.19844595 -0.02030006 -0.02972166 0.16325092 0.14525026 -0.01155272 0.20630866 0.00900799 0.1753906 -0.15221344 -0.13711478 -0.00410507 0.00771569 -0.00274794 0.00514919 -0.14915591 -0.03770005 0.0007385 0.10009912 -0.00346569 0.00829968 0.02072432 0.12364905 0.16162655 -0.01733015 0.09068918 0.01032094 -0.00195443 -0.05930631 0.10575717 -0.04775869 0.00353253 0.00855032 0.00276768 -0.12745659 -0.09657117 0.00984072 0.0043907 -0.17000331 -0.0883654 0.0527291 0.14171658 -0.13847904 -0.0010237 -0.00198754 0.1727147 -0.00098029 -0.01484438 0.06185353 0.1549594 0.10464625 0.00307323 -0.07666535 -0.04899675 0.1589184 -0.02915859 -0.01046856 -0.09497066 -0.01883443 0.00984611 -0.13954836 -0.01504245 0.02645079 -0.18571356 0.04273506 -0.01001095 -0.00402328] Cos Similarity tf.Tensor(0.99189496, shape=(), dtype=float32) (128,) (128,) [-1.29248112e-01 -1.30044818e-01 -2.58925203e-02 6.50563464e-02 -7.97163881e-03 -1.45395845e-01 1.13678440e-01 5.81392646e-02 6.12438470e-03 9.30179004e-03 -1.55715257e-01 -2.16683298e-02 2.98187719e-03 -1.47017077e-01 3.85155715e-02 9.00029242e-02 -1.31217355e-04 1.46826789e-01 1.88506663e-01 7.11223409e-02 -4.06244062e-02 -1.84174269e-01 -8.19096267e-02 3.59233818e-03 -1.11128045e-02 -2.76971585e-03 1.00656645e-02 -2.43437942e-02 1.53355911e-01 1.20580770e-01 9.04544219e-02 -1.81903467e-01 -9.34219453e-03 -1.41295297e-02 -1.54411867e-01 -3.19281942e-03 4.44616191e-03 1.22465432e-01 -9.15373769e-03 9.58546549e-02 1.56213120e-01 9.58206225e-03 6.74746523e-04 -5.32299187e-03 -1.11393444e-01 1.44970655e-01 -1.46696925e-01 6.16487395e-03 1.78871735e-03 1.19570205e-02 1.11046142e-03 1.87976155e-02 -7.60423578e-03 2.21789931e-03 -9.27966647e-03 8.14585108e-03 2.65854620e-03 -5.18513669e-04 -6.26067445e-03 1.03118748e-03 1.07038625e-01 -2.00401600e-02 6.78516105e-02 9.16843396e-03 4.29611094e-02 1.57495990e-01 -1.77885052e-02 -1.64972782e-01 -7.08157197e-03 -6.09329203e-03 -8.72338191e-02 9.95482951e-02 -8.98391847e-03 2.28585559e-03 -3.91103420e-03 -6.46387367e-03 -1.94401070e-01 6.08470775e-02 -1.72312232e-03 -9.34116468e-02 -3.25588621e-02 -5.41057400e-02 -6.91682426e-03 1.27968550e-01 -1.09473214e-01 -1.43693238e-01 1.57932460e-01 4.86163469e-03 -1.02635697e-02 1.78542063e-01 1.26135558e-01 1.22002020e-01 -1.81871243e-02 1.55743060e-03 -1.63939074e-02 4.97897007e-02 -5.30509055e-02 1.83178440e-01 2.51805084e-03 5.94739243e-02 1.32491410e-01 7.01119825e-02 -9.80248526e-02 1.31532326e-01 -1.34489192e-02 -1.12376921e-02 1.71739712e-01 4.44073929e-03 -1.01231467e-02 -8.41886401e-02 -1.54938683e-01 -1.71382055e-01 -4.30300599e-03 4.40965258e-02 9.31111276e-02 -1.82849988e-01 -1.43038258e-01 6.46074768e-03 -1.40936270e-01 3.73995909e-03 -2.09410139e-03 2.60432661e-02 9.86048952e-03 -1.67685356e-02 -7.70990551e-02 7.33201811e-03 2.93140914e-02 3.73530015e-03] [-5.51892929e-02 1.08941741e-01 2.54443865e-02 -3.09208129e-02 -1.26123773e-02 -1.52247161e-01 1.30939215e-01 7.83376954e-03 1.37220332e-02 -5.16569335e-03 -1.36533324e-02 -1.51395379e-03 5.92181273e-03 -1.02390021e-01 4.62695919e-02 1.66764155e-01 1.95265152e-02 6.88778758e-02 2.01018482e-01 -7.72583336e-02 -4.58296947e-02 -1.75712213e-01 -5.87189458e-02 -2.12453753e-02 2.94856168e-03 -8.21625721e-03 1.10815123e-01 -2.19725166e-02 8.72734413e-02 2.17055619e-01 -8.10450464e-02 7.76016489e-02 -1.78163219e-02 8.05157609e-03 -1.13965563e-01 -9.86817852e-03 1.92818232e-02 3.07657314e-03 -1.38801374e-02 1.06589533e-01 6.36078492e-02 1.90892704e-02 -1.62156411e-02 -6.86098495e-03 -1.57063663e-01 9.31991562e-02 -1.71059684e-03 2.20780503e-02 1.98960882e-02 3.44264023e-02 -1.58102528e-04 7.76458159e-03 1.73564479e-02 1.37280328e-02 1.94407199e-02 1.10740727e-02 5.37170423e-03 -1.70186907e-02 3.41410004e-03 2.29535047e-02 1.61733881e-01 -8.24968144e-02 1.45869836e-01 1.44268703e-02 1.22141749e-01 -1.42192066e-01 5.51227294e-03 -1.64912730e-01 1.06632337e-02 6.54516146e-02 -1.54578254e-01 8.62754360e-02 -1.15543222e-02 1.49434013e-02 7.35592190e-03 2.68705096e-02 -1.41130701e-01 1.07730545e-01 -2.92927492e-03 -1.48034394e-01 -6.68824371e-03 -7.56058376e-03 4.45310539e-03 1.18300067e-02 -1.12647936e-01 -1.45241678e-01 1.36110812e-01 2.04686318e-02 -5.38252760e-03 1.80403888e-01 1.21887960e-01 -6.38853535e-02 -3.03942757e-03 -1.19357416e-02 -2.19718106e-02 -2.42178384e-02 -2.04742789e-01 1.78281814e-01 2.37815594e-03 9.92220640e-03 2.04399705e-01 -1.77327633e-01 -1.11095659e-01 1.09658368e-01 -1.83186699e-02 1.50596406e-02 1.75722420e-01 6.92777336e-04 1.31281279e-02 -7.00196698e-02 -1.37309581e-01 -1.59932271e-01 1.28662521e-02 8.64566565e-02 -6.10727295e-02 -7.87334442e-02 -1.66738540e-01 6.42471062e-03 -1.87002987e-01 -7.38576520e-03 -2.70327111e-03 -3.28437947e-02 2.82763671e-02 -4.66552889e-03 -1.30160242e-01 3.82123180e-02 1.10125635e-02 1.13530678e-03] Cos Similarity tf.Tensor(0.6794759, shape=(), dtype=float32) (128,) (128,) [ 0.04414142 0.01321766 -0.0933995 -0.05816638 0.00517849 0.13132389 -0.14997424 0.159901 0.01107997 -0.00271485 -0.1303023 -0.02822321 0.00233484 0.10309523 -0.19642805 0.02957737 -0.00555199 0.21289024 -0.0159883 0.01926101 0.24747017 0.15662032 0.0419204 -0.09247337 0.02627047 -0.00531382 0.0506804 -0.00330433 -0.13218153 0.00521073 0.09768336 0.07307399 0.00427644 -0.03135037 -0.0813906 -0.01975307 -0.00159637 -0.11925991 0.00647517 0.07592066 0.04093738 0.01649085 0.0020166 -0.00483196 0.15096562 0.19917092 -0.1291646 -0.01138635 0.00900353 0.01608233 0.00092171 0.00286363 -0.00908788 0.01691062 -0.01169022 0.00064549 -0.0369591 0.00241274 0.00961474 0.00151826 0.19784847 0.00567683 0.06643093 -0.00371997 0.02356794 0.08374818 -0.00965961 0.08446974 -0.00279987 -0.14216973 0.02806209 0.05721956 -0.00989817 0.00621702 0.00781867 0.0025412 -0.03042232 0.00208529 0.00538333 0.0828412 -0.00212034 0.00105571 0.01438235 0.11038812 -0.21197794 0.08644027 0.05899919 0.01519954 -0.00440894 -0.19077016 -0.01829328 -0.2350516 -0.02325524 0.01142847 0.00576878 -0.01884261 0.12966305 0.05931902 -0.0101945 0.01351275 0.17504624 0.21219163 0.16295537 0.24982154 0.00332781 0.03731776 0.11363915 0.00088386 -0.01994583 0.17201641 -0.00487283 0.08238704 -0.00507871 -0.13229649 0.03735014 0.00723409 0.19529095 0.0015447 0.10523646 0.00253008 0.01755477 -0.03916212 0.01116321 -0.0301262 0.03813433 0.02350434 0.03540178 -0.01022469] [-0.16575219 -0.15832312 -0.04822747 0.1272 0.00022262 0.02035196 -0.17393552 0.19087134 -0.0142056 -0.00530013 -0.12653197 -0.00289295 -0.01521075 0.09954005 0.01442503 -0.19001582 0.00565918 0.07703405 0.1065953 -0.08311878 0.16708548 0.19588163 -0.03404982 0.00367728 -0.00890948 -0.0053588 0.07124287 0.00600362 -0.1679344 0.13136467 0.00925651 -0.16810752 -0.00518426 -0.01204826 0.13917139 -0.01101856 -0.01087006 -0.04731659 -0.00514515 -0.01824088 0.18925951 0.01405014 -0.00584186 0.01309008 0.21177934 0.06073857 -0.01255004 -0.03003716 0.00412887 0.00382302 0.00368879 0.00840806 -0.02235554 0.0081221 -0.00572032 0.01252056 0.03537217 0.01071779 0.00769901 -0.00358788 0.06998683 -0.1568284 -0.12942758 0.00638474 -0.04490716 -0.14128663 -0.00358364 0.07807791 0.00059791 0.03571406 -0.01838436 0.08404447 -0.00210628 0.01479838 -0.00037841 0.01529061 -0.1121117 -0.05152652 0.00541818 0.15921575 -0.00192497 0.00864293 0.00528396 0.17491908 -0.13498226 0.09408335 0.13304657 0.01014235 -0.01259284 -0.02089226 -0.16776463 -0.19509171 -0.00502292 0.01497916 0.00863069 0.05966476 0.1777549 -0.0222597 0.0032049 0.19937603 0.06455968 -0.06058882 0.20064503 0.00802992 -0.00694196 0.01841457 -0.16084284 -0.02195649 -0.02566185 0.05555473 -0.11724912 -0.07261413 -0.00859548 0.01268815 0.04437819 0.11872195 0.03126321 -0.00102859 -0.11173374 -0.02410798 0.02266748 -0.14873455 0.01914189 -0.02299915 0.12110837 0.06952985 -0.06573764 -0.01813692] Cos Similarity tf.Tensor(0.39139175, shape=(), dtype=float32) (128,) (128,) [-6.52520731e-02 1.55429959e-01 4.39491905e-02 3.34915929e-02 -7.82753527e-03 7.70810386e-03 1.60806030e-01 2.04378292e-01 -8.25615227e-03 5.15824184e-03 9.49773937e-02 3.22645344e-03 9.72301606e-03 1.10295318e-01 4.70132679e-02 -2.70094406e-02 -1.61724798e-02 3.16611566e-02 1.40371233e-01 -1.26266917e-02 -4.00494300e-02 1.88280612e-01 -1.08480424e-01 -6.31344318e-02 1.54907499e-02 3.59291933e-03 1.88797802e-01 -8.53802834e-04 2.07180932e-01 -1.47757277e-01 1.61324158e-01 -7.54349977e-02 1.08663738e-02 2.74579594e-04 9.94223952e-02 1.92630605e-03 5.74166072e-04 4.01394852e-02 -1.07099647e-02 1.00087024e-01 -1.19646164e-02 1.40720385e-03 1.10198115e-03 2.52665691e-02 1.34316847e-01 2.35589482e-02 5.12587540e-02 6.41857507e-03 -1.24444608e-02 1.60619095e-02 8.17320030e-03 1.24370335e-02 -1.41447425e-04 7.23781809e-03 1.21004088e-02 1.15186376e-02 1.84738338e-01 -2.69817444e-03 1.50565291e-02 -3.47591704e-03 1.23640545e-01 -9.20844674e-02 3.07268258e-02 4.25109826e-03 1.33501530e-01 1.62117988e-01 -1.09669548e-02 1.39836460e-01 5.24619734e-03 -8.45629722e-02 -1.39272347e-01 -1.28309857e-02 1.77567936e-02 9.88837238e-03 1.16793392e-02 1.30716907e-02 1.82181239e-01 -1.10767864e-01 6.99812174e-03 -5.02587147e-02 -9.27403476e-03 -9.18185618e-03 -6.01351121e-03 -1.47324845e-01 1.15928248e-01 1.83756858e-01 7.79605731e-02 8.13085865e-03 -9.23826650e-04 -1.12073973e-01 -6.44340068e-02 1.61264747e-01 4.36218659e-04 2.51940601e-02 7.62678729e-03 7.04461485e-02 1.82324767e-01 -9.14478227e-02 2.54737271e-04 1.54699594e-01 1.98224515e-01 -4.09332179e-02 -5.82597479e-02 -1.91995114e-01 -4.27543768e-04 -1.71654280e-02 -2.95995250e-02 -9.54986142e-04 3.02596577e-03 9.22458321e-02 1.80068817e-02 -1.69252649e-01 7.59046432e-03 -2.25385055e-02 2.06684694e-03 1.23517156e-01 -1.94110364e-01 -2.26587821e-02 1.99355051e-01 5.15322061e-03 -6.14733784e-04 2.41638515e-02 3.79190198e-03 -3.60709429e-02 -1.37713939e-01 5.68488464e-02 -6.21179631e-03 -5.04285470e-03] [-0.04225384 0.14299987 0.08319186 -0.15042557 -0.00383784 -0.00228977 0.09466918 0.19658478 0.00428654 0.01045771 0.07782222 0.04565875 0.01874817 0.07702744 -0.03542012 -0.0069056 -0.00249125 0.02372492 0.19739307 0.01805575 -0.06290118 0.00277221 -0.0551875 0.08490341 0.03096689 0.00902189 0.20870286 0.0142909 0.12479489 -0.17908753 0.09911812 0.05322413 0.01770292 0.03498609 0.13024382 -0.00496674 0.01992903 0.18714064 -0.03748254 0.14039832 -0.14788808 0.00597638 0.009517 0.00829326 0.11754841 0.03697999 0.02211283 0.01428026 -0.0074474 0.03417869 0.0103612 0.01195078 0.04547921 0.00846113 0.03778616 0.03600942 0.05241106 -0.02748253 0.01562115 0.01747218 0.1840915 -0.00963272 -0.16199142 0.02665004 0.0844677 0.09534729 -0.00163412 -0.10249148 0.0134964 -0.12328576 -0.02541393 -0.07758214 0.01673685 0.03129079 0.02698872 -0.01273746 0.17056495 -0.13703147 0.00109041 -0.11124706 0.00187963 -0.00353489 -0.00133215 -0.17720704 0.0016517 0.03612643 -0.08335941 0.01118843 0.0123916 -0.13982515 -0.06445684 0.1781349 0.00326669 0.03667426 0.01570163 0.13430901 0.19974124 -0.1508096 -0.00058061 0.19822434 0.20808761 -0.05942602 0.0866584 -0.04544503 0.01257054 -0.00546308 -0.01101765 0.00227329 0.02290473 0.06649384 -0.06495112 -0.12153105 0.03098598 -0.01315659 -0.11082891 0.19130753 -0.2084803 -0.02506789 0.04049879 0.02980411 0.00538652 0.08795009 0.02431694 -0.02324489 -0.14334358 0.07822301 -0.01485357 0.00202016] Cos Similarity tf.Tensor(0.73584354, shape=(), dtype=float32) (128,) (128,) [ 5.16893528e-02 1.86397359e-01 -6.48902357e-02 -5.83331995e-02 -2.17354838e-02 1.12139665e-01 -1.03808925e-01 -1.25539482e-01 -4.21024859e-03 -6.45614788e-03 9.11375508e-02 -2.34773550e-02 6.33090315e-03 -7.45502999e-04 4.16649655e-02 9.28156152e-02 -4.19625128e-03 2.00422913e-01 1.09824181e-01 -1.87012807e-01 -1.23637021e-01 -1.91612214e-01 1.30300537e-01 -2.61071641e-02 1.21957175e-02 1.35426447e-02 -7.00639561e-02 -3.25832865e-04 -9.92543846e-02 3.63315381e-02 -3.36762480e-02 3.35075743e-02 1.06100515e-02 -1.91580858e-02 -1.52244166e-01 -4.73187491e-03 7.36330310e-03 -3.36837722e-03 -4.24390845e-03 1.42713830e-01 -1.71569005e-01 1.21967762e-03 -5.81357395e-03 1.91918854e-02 -7.88057745e-02 -7.89128318e-02 1.15674831e-01 1.50411008e-02 1.34304697e-02 -5.91174141e-03 3.30526382e-03 1.44185952e-03 -3.57858068e-03 9.35309846e-03 1.75760314e-03 4.75301174e-03 -1.47837430e-01 -1.94139371e-04 4.37400537e-03 -5.58279967e-03 1.37580350e-01 1.22825168e-01 1.55410543e-01 -6.35078270e-03 -7.92458057e-02 1.26732752e-01 -1.93779636e-02 -1.45396311e-02 -2.10909313e-03 -1.40437603e-01 1.20650120e-02 -8.00138488e-02 4.96136898e-04 3.20459506e-03 -1.34690721e-02 1.06683029e-02 1.31258652e-01 -6.71273768e-02 5.77409333e-03 2.25186404e-02 -1.47715909e-02 -5.99181280e-02 1.32958833e-02 -1.45718694e-01 -1.29541218e-01 1.54511258e-01 -9.73824561e-02 5.56802331e-03 -5.90234762e-03 2.25111842e-01 1.50744930e-01 1.60905585e-01 2.90515646e-03 4.13565809e-04 -1.50647303e-02 1.96504489e-01 1.69087246e-01 -6.14413917e-02 -6.81894366e-03 1.30862389e-02 -1.43616393e-01 8.50315019e-02 1.34462878e-01 1.46091402e-01 -1.93279493e-03 5.88604528e-03 2.00093150e-01 2.83951443e-02 6.22798922e-03 -1.90899353e-02 3.69322076e-02 7.90967885e-03 5.16204303e-03 -8.79211873e-02 -3.17796282e-02 8.50706622e-02 2.11083926e-02 -1.31322164e-02 6.62664026e-02 5.75642847e-03 -5.08167269e-03 1.95371449e-01 1.98264997e-02 -5.07886708e-03 -2.02842996e-01 3.17101479e-02 -1.01541594e-01 3.12869262e-04] [ 0.14808185 0.19766948 0.02425535 -0.1077757 -0.02528829 0.05621196 -0.05597416 0.11636257 0.01280005 0.00292462 0.04918072 0.02080307 0.00367505 -0.1617687 0.14755915 0.06332588 0.01456413 -0.07636449 0.1263079 0.01876968 -0.16555536 -0.19877324 -0.03619493 -0.09307651 0.01809983 0.0072976 0.0950033 0.00936754 0.1707087 -0.06574637 -0.08111584 -0.18477234 0.01702203 0.01972516 0.12878218 0.00846687 0.00754176 0.17021437 -0.0192917 0.04375067 -0.09267017 -0.006811 0.00453688 0.04241918 -0.13575836 0.03159452 -0.08260898 0.03066282 0.01979898 0.00304629 0.00951163 -0.00121488 0.02565786 0.00849936 0.03119331 0.0284755 -0.08643493 0.00345222 0.01429931 -0.01878266 -0.0013217 -0.19230781 -0.16732793 0.01555489 0.2180393 0.20383304 0.00029509 -0.05280991 -0.00731211 0.1575577 0.02407596 0.06106725 0.00140672 0.00513906 -0.00291053 0.03360853 0.07987475 -0.07717243 0.01535678 0.08973067 0.00375444 0.00532294 -0.00618563 -0.01332185 -0.09434067 0.07826656 0.14399742 0.02520546 0.01584753 0.02113783 0.04066047 -0.07257471 0.00315316 0.02694916 -0.00739183 0.17354129 0.02753827 -0.15247487 -0.00145722 0.04202039 0.17132267 0.10655621 -0.11099388 0.20930578 0.01174028 0.00800171 0.13429788 0.02368277 0.02418728 0.1633654 0.134153 -0.07136423 0.02599892 0.04432695 -0.04502862 0.16825339 -0.01150886 -0.00911012 -0.1620818 0.01351698 -0.00662603 -0.13169058 0.04406361 -0.00997644 -0.10968114 0.0508566 -0.04841155 0.00062982] Cos Similarity tf.Tensor(0.14569013, shape=(), dtype=float32) (128,) (128,) [-7.44165108e-02 -5.76099977e-02 8.21540877e-03 -1.44547308e-02 -7.90403970e-03 -7.59347156e-02 -1.08769350e-01 1.60120755e-01 -1.18201470e-03 -1.27559397e-02 -1.26298591e-01 -1.19182526e-03 2.39732070e-03 2.21227333e-02 4.71627675e-02 -1.15852445e-01 -6.84637576e-03 9.86419469e-02 1.13638647e-01 -3.95246893e-02 1.44134685e-02 -1.55056551e-01 -1.39657676e-01 1.75523907e-02 -2.27020681e-02 2.81575695e-03 -1.74104571e-02 -4.78112511e-02 1.53132454e-01 1.39446571e-01 -1.70392647e-01 3.79807502e-02 -4.41714562e-03 -1.79783404e-02 6.97761998e-02 -1.17940390e-02 -5.50413551e-03 -7.82605335e-02 -3.15882935e-05 -7.56845027e-02 -1.23378471e-01 -1.50257221e-03 -2.74557481e-03 -3.31607298e-03 -1.61795635e-02 2.15143248e-01 6.01759087e-03 -1.27340760e-03 5.18013071e-03 1.30979922e-02 3.43684922e-03 1.97716895e-03 -1.01954620e-02 7.22316932e-03 -1.71918869e-02 7.67995371e-03 1.17836572e-01 -1.98053289e-03 1.53264569e-04 -6.34875149e-03 -3.42294993e-03 -1.14106953e-01 1.89974993e-01 -8.22594948e-03 -2.27093235e-01 5.35694249e-02 -8.21122993e-03 -7.19457632e-03 -7.82121997e-03 -1.40081286e-01 1.42203748e-01 -1.30271763e-01 3.92144499e-03 3.76366754e-03 -1.33117838e-02 3.43859801e-03 2.16028653e-02 6.73158169e-02 -1.87366956e-03 8.04179236e-02 -1.34680392e-02 -1.73039604e-02 1.07068978e-02 1.92043453e-01 -1.60374880e-01 9.01347846e-02 1.49953425e-01 7.16355676e-03 -8.40531290e-03 2.13595713e-03 1.31827682e-01 1.03708990e-01 -5.83635119e-04 9.40406509e-03 -1.71279367e-02 1.94035411e-01 9.01898071e-02 -2.14695320e-01 -2.26604585e-02 -2.91127209e-02 1.21883094e-01 -1.76126361e-01 1.30677879e-01 2.37657294e-01 -2.08750051e-02 2.29981076e-03 1.51737675e-01 1.20418007e-02 -1.64327323e-02 -1.80257261e-01 -1.30712777e-01 2.95245554e-02 -3.17946472e-03 3.93886343e-02 5.88977635e-02 6.24530241e-02 1.38038561e-01 -1.32007273e-02 1.16363488e-01 -1.51746143e-02 5.78373065e-03 9.59738195e-02 1.28936265e-02 -1.20786605e-02 -2.04938218e-01 3.82070839e-02 -7.43891485e-03 -5.02070505e-03] [-7.77221322e-02 -9.73206982e-02 5.87069392e-02 -1.16865739e-01 -9.05342214e-03 -8.20957869e-02 -1.19852632e-01 1.28629550e-01 2.55034817e-03 -1.86639524e-03 -5.18072359e-02 -6.04051026e-03 3.17391459e-05 -2.93769233e-04 -9.30656493e-03 -1.70940548e-01 -2.07485165e-03 1.13895677e-01 6.15059622e-02 -4.62858304e-02 1.30536240e-02 -1.63321584e-01 -1.01535559e-01 5.04442304e-02 -1.79248378e-02 1.17077213e-02 8.10343474e-02 -3.63976546e-02 8.76790360e-02 9.35995877e-02 -1.64680779e-01 1.22854486e-01 -1.24119930e-02 -1.22318286e-02 1.66657045e-01 1.20982537e-02 -8.93134438e-03 -1.38769820e-01 5.96300187e-03 -4.65049408e-02 -1.08561508e-01 1.37404155e-03 -3.42191546e-03 1.09415799e-02 -5.30919060e-02 1.97620511e-01 2.72961017e-02 -8.93339235e-03 7.83407874e-03 1.50859607e-02 1.09414794e-02 2.87548282e-05 5.39295562e-03 1.08405016e-02 -6.81263674e-03 6.89096469e-03 1.37539223e-01 2.68195895e-03 -8.67133844e-04 6.38797507e-03 1.56776626e-02 -1.24849424e-01 1.84449941e-01 -8.93126149e-03 -1.78444922e-01 1.96724795e-02 -3.31367459e-03 -6.28777295e-02 -1.26080737e-02 -1.28222063e-01 -6.04194077e-03 -1.25061855e-01 6.94054039e-03 -2.89904838e-03 -7.58138811e-03 9.84276528e-04 1.65235102e-01 7.32387602e-02 -1.17728568e-03 4.60470915e-02 -6.17095036e-03 -8.76873452e-03 7.87897408e-03 2.08249971e-01 -1.21183842e-01 1.94820449e-01 1.05521969e-01 1.38419690e-02 2.01569172e-04 -9.11514834e-02 1.66631639e-01 1.46450624e-01 8.81728542e-04 1.96598331e-03 -1.03927180e-02 8.13895315e-02 1.24318093e-01 -1.30248114e-01 -2.10780222e-02 -2.09546294e-02 1.70790866e-01 -1.56609982e-01 1.05209425e-01 2.06495136e-01 -1.58560760e-02 -2.16631051e-02 1.03992313e-01 -1.30446930e-03 -4.18426498e-04 -1.30799204e-01 -6.02218062e-02 -1.06719874e-01 2.02680565e-03 1.32719204e-01 2.29560342e-02 1.63985059e-01 1.20172970e-01 -2.49706861e-02 1.17122941e-01 -1.62293352e-02 -4.76355525e-03 1.51383013e-01 1.70864444e-02 -7.09063886e-03 -1.79869324e-01 3.23489755e-02 -8.80744830e-02 -6.33748714e-03] Cos Similarity tf.Tensor(0.8801829, shape=(), dtype=float32) (128,) (128,) [-1.59160748e-01 -4.98233140e-02 -3.52230668e-02 -2.81445123e-02 -2.48303469e-02 -3.98485772e-02 -1.40465200e-01 -1.85535491e-01 -2.68575095e-04 1.86857744e-03 7.23178759e-02 2.71261390e-03 8.00180342e-03 -9.30602178e-02 4.83410843e-02 -9.11978781e-02 5.02183242e-03 1.75943539e-01 -1.56373814e-01 -1.70859352e-01 1.68414384e-01 6.56909272e-02 1.34498879e-01 -5.84039465e-03 -3.70184332e-03 3.88849876e-04 1.88279942e-01 -9.57877655e-03 -1.86225042e-01 2.02969745e-01 -2.06842169e-01 7.08623528e-02 -9.54639539e-03 -3.97593454e-02 -1.13011949e-01 -2.52278754e-04 -3.65137774e-03 1.41339943e-01 -2.84697488e-03 -7.24408254e-02 1.85253799e-01 1.20455218e-06 -1.05626043e-02 3.32192308e-03 -1.12501666e-01 -2.20890939e-01 2.03735039e-01 5.42968651e-03 1.00001423e-02 1.05810249e-02 9.88204218e-03 -1.55575178e-03 -1.70508269e-02 3.81669193e-03 -1.65019929e-02 -7.50159437e-04 6.90447912e-03 -5.12741227e-03 7.99855776e-03 -1.15249241e-02 -6.76668584e-02 -2.87758429e-02 -1.16937473e-01 -1.15323374e-02 4.98387702e-02 -1.52068079e-01 -2.11566687e-02 2.25006603e-02 -1.25045581e-02 -9.05710906e-02 -4.93497662e-02 1.55139953e-01 3.01405066e-03 4.82306024e-03 -2.46118754e-02 8.39454774e-03 1.45750254e-01 1.39205782e-02 -6.31753355e-03 1.57467008e-01 -1.15474323e-02 -4.56887204e-03 -5.26727876e-03 -4.07013595e-02 1.83265358e-01 1.40787706e-01 8.39780178e-03 -4.61347913e-03 -9.37847514e-03 -2.58797836e-02 -5.52860834e-02 1.81485489e-01 -1.05339326e-02 2.50822608e-03 2.64379685e-03 -3.86065356e-02 -1.46760875e-02 -3.14738564e-02 1.02263289e-02 1.20060518e-01 3.13995145e-02 -1.08336233e-01 -1.33522898e-01 -1.65693745e-01 -5.93285635e-03 -2.39680950e-02 9.94535536e-02 -3.02374065e-02 -8.57361651e-04 3.86219565e-03 -8.72648656e-02 -1.36594027e-01 -8.05469695e-03 -9.85653028e-02 -1.24504054e-02 -5.28473370e-02 -1.19483486e-01 -4.97575430e-03 1.43564463e-01 1.00356890e-02 3.75472545e-03 1.39558479e-01 1.31745692e-02 -1.25221647e-02 6.30328804e-02 6.16092421e-03 -1.08161218e-01 -1.41151212e-02] [-1.22160718e-01 4.85268980e-02 -6.69353753e-02 -3.61367390e-02 -3.06399427e-02 1.04298845e-01 -1.26932338e-01 -2.13275269e-01 2.88733910e-03 -7.55370967e-03 1.00477606e-01 -9.04258434e-03 -3.49697052e-03 -1.78997979e-01 6.03987314e-02 -1.34023726e-01 -5.03480202e-03 -1.45115759e-04 3.19917761e-02 -1.40084505e-01 1.50537655e-01 -2.39023962e-03 8.22450314e-03 1.01074763e-02 -1.27962055e-02 5.28696808e-04 1.93991527e-01 -3.07565462e-02 -1.07224151e-01 1.57446802e-01 -2.26426229e-01 7.60763958e-02 6.65557978e-04 -3.95384356e-02 -4.39112075e-02 -4.94379178e-03 -2.61533353e-03 1.65479288e-01 4.84691467e-03 -1.19400509e-01 1.99745402e-01 -4.64380113e-03 -1.22964587e-02 1.06761595e-02 -1.84820563e-01 -2.37258613e-01 1.64537340e-01 1.73447758e-03 6.61280006e-03 9.91308875e-03 1.16866874e-02 -3.99546279e-03 -2.32963040e-02 4.61462932e-03 -2.17526816e-02 -2.25792779e-03 -2.61315629e-02 -2.67713593e-04 6.03254791e-03 -2.66836789e-02 -6.76959231e-02 3.09975501e-02 -1.61402643e-01 -1.58007704e-02 1.54653057e-01 -1.66844547e-01 -2.34440099e-02 9.90963206e-02 -2.51089986e-02 -6.33892119e-02 -6.76789656e-02 1.25780404e-01 -4.09402419e-03 2.81947944e-03 -2.95034107e-02 8.56620632e-03 1.41647771e-01 -4.66353409e-02 -1.82183308e-03 1.59044757e-01 -4.48263763e-03 6.62983060e-02 -1.24854911e-02 -7.20624775e-02 1.02837764e-01 -3.88677861e-03 6.21673428e-02 -3.29894875e-03 -9.77635663e-03 1.17538117e-01 -6.08805344e-02 1.44152239e-01 -1.15660466e-02 2.85910652e-03 -1.28429066e-02 1.62442476e-01 -1.88647266e-02 -5.72076887e-02 -2.23051361e-03 -1.68895368e-02 -7.03901052e-02 -8.68134499e-02 -2.15443254e-01 -1.88372314e-01 -7.92434812e-03 -4.85503860e-03 6.46542832e-02 3.08385007e-02 -1.98183171e-02 -6.61873259e-03 9.63095725e-02 -1.61904261e-01 -2.08989847e-02 1.21950367e-02 -3.36466320e-02 9.60959122e-03 -1.03860073e-01 -5.39726811e-03 1.59768179e-01 -6.38548192e-03 5.05117746e-03 5.28538674e-02 1.64703391e-02 -1.67572573e-02 1.04146302e-01 -1.79885316e-03 -9.58357602e-02 -2.13695262e-02] Cos Similarity tf.Tensor(0.8043428, shape=(), dtype=float32) (128,) (128,) [-1.93613693e-01 1.11941673e-01 2.65888833e-02 -5.46996817e-02 -4.81555093e-04 -8.74245316e-02 -4.42044884e-02 1.30469248e-01 -1.70902268e-03 -1.17552541e-02 1.93214923e-01 -1.17500499e-02 -1.94996665e-03 1.73129678e-01 5.26981689e-02 2.03053385e-01 -1.15355765e-02 1.71988547e-01 -7.36935958e-02 -4.83178645e-02 -2.74074022e-02 1.64900273e-01 3.89509909e-02 1.46468103e-01 -1.77986063e-02 -3.12968215e-04 1.02744862e-01 -3.80410987e-04 1.03371054e-01 -1.69554260e-02 -1.82771645e-02 1.45022396e-03 -1.37655688e-02 1.06072403e-03 1.39563188e-01 -5.29816933e-03 8.73957947e-03 -6.40955269e-02 -7.42136640e-03 5.92973270e-02 -1.53941989e-01 -1.63958762e-02 -9.49257927e-04 -5.71347447e-03 1.54059678e-01 1.39641792e-01 2.89710686e-02 -1.83200780e-02 1.64881244e-03 3.85372736e-03 2.28090183e-04 6.81698788e-03 -1.22619988e-02 4.76652337e-03 -1.14392873e-03 9.33324546e-03 8.78304467e-02 -1.19601078e-04 -3.95057769e-03 -7.32123107e-03 3.46168689e-02 1.95856512e-01 1.99702978e-01 -2.22278322e-04 -1.06272765e-01 1.24059860e-02 -2.42429995e-03 6.85987016e-03 -2.03686636e-02 2.01156035e-01 7.83781782e-02 -1.10632174e-01 2.24445574e-03 1.03963790e-02 6.78571500e-03 6.11884752e-03 -3.97659615e-02 3.42385732e-02 1.85311318e-03 -1.02158159e-01 -2.34437399e-02 2.67115142e-02 2.27699964e-03 1.22346506e-01 -1.79001808e-01 -7.29096085e-02 1.62882343e-01 4.32018191e-03 -8.32344219e-03 8.40634760e-03 4.77487631e-02 1.27495572e-01 -1.84723027e-02 8.94386228e-03 -4.29312699e-03 1.20645665e-01 -6.39262795e-02 -5.23320995e-02 -3.40831024e-03 -1.20974876e-01 -1.25683770e-01 1.96857035e-01 1.92552567e-01 8.41671675e-02 -1.09907649e-02 -3.62005993e-03 1.42748937e-01 7.50387833e-03 -3.35970894e-02 1.95689261e-01 -1.89310744e-01 -2.36562267e-02 -1.24049243e-02 -1.33396521e-01 5.17122075e-02 -1.06961474e-01 -5.07443473e-02 -2.80825276e-04 -1.15736708e-01 8.84753885e-04 -4.90925554e-03 -1.02314964e-01 1.23126304e-03 -2.16290634e-02 1.97747469e-01 -9.42219794e-03 3.67544293e-02 2.60006567e-03] [-0.11844402 0.01343989 0.04324859 -0.15263052 -0.01210554 0.05498477 -0.01808328 0.11857607 -0.00350957 -0.00820509 0.00916575 0.01149572 0.00506369 0.11738715 0.09299625 0.15506583 -0.00319716 -0.02757265 -0.17523956 -0.06094706 0.04658762 0.05174754 -0.14938034 0.11360715 0.01168438 0.00233791 0.12854254 -0.00670009 0.09187777 -0.1771104 0.18600151 0.16215844 -0.00418698 0.00541377 -0.04916459 -0.00734906 0.00320019 -0.05766056 -0.00377079 0.10759798 -0.01045018 0.00064903 0.00102368 0.00244812 0.12889531 0.18938302 -0.13367572 -0.00897012 0.00357262 0.00408367 0.00783935 0.00751616 0.00349496 0.00561744 0.00254714 0.00952973 0.07410868 0.01550133 -0.00866125 -0.00058075 -0.01459276 0.16449334 0.16862117 0.00113874 -0.09402008 -0.08570206 -0.0063869 -0.02298561 -0.01360068 0.16027915 0.03913276 0.17407835 0.00627514 0.01083554 0.0022395 0.00108613 -0.13969512 0.01828712 -0.00445524 -0.15791687 -0.0238478 -0.00258323 -0.00921545 -0.01686106 -0.15224324 -0.17834297 -0.1331566 0.00422257 -0.00776533 -0.1549386 -0.11831997 0.1561063 -0.0111406 0.00794825 -0.00618818 0.14423084 -0.11443915 -0.05965535 -0.00300734 0.16020928 -0.12998198 0.16316709 -0.04441984 0.1325381 -0.00621148 -0.01653879 -0.03112436 0.00466512 -0.02762953 -0.05447346 -0.13053793 -0.02838183 0.00179514 0.16278581 0.11226119 -0.18876448 -0.17860644 -0.00072492 -0.07667979 0.00319738 -0.00722432 -0.05166097 0.01710683 -0.02389785 0.18065028 -0.0124298 0.00230435 0.00749834] Cos Similarity tf.Tensor(0.48781666, shape=(), dtype=float32) (128,) (128,) [ 0.05769461 0.03809258 0.08620099 -0.14652638 0.02044967 0.03097222 -0.1452043 0.12152224 0.00160999 0.00024359 -0.1760785 -0.00766543 0.00301386 0.02691311 0.16355269 -0.10689642 0.06499004 0.05626547 0.13605142 -0.01286422 0.00593981 -0.13438728 0.12709463 -0.08202007 0.03620305 -0.00194938 0.03072031 0.02640209 0.08873069 -0.03410671 -0.17613344 0.16824555 0.06278612 0.06127929 -0.08071217 0.01598818 0.04753404 0.01724575 -0.04212683 0.1019479 -0.04020891 -0.02611264 0.00686459 0.01236849 0.09828583 0.14465907 0.04839436 0.04325657 0.02659445 0.06227836 0.03113504 0.01058831 0.05825062 0.04005292 0.04991378 0.0300667 0.07665386 0.01128511 0.00454869 -0.00293809 0.12310527 -0.08654805 0.14506774 0.02734444 -0.06284089 0.07200324 0.03174315 -0.05784358 0.02149622 0.11339181 0.04855499 -0.02252239 0.00759277 0.01803454 0.00717469 0.06141526 0.16441914 -0.07057471 0.01567781 -0.14684875 0.02435098 0.00569789 0.02555593 0.09233867 -0.17997964 0.17003228 0.10782841 0.01758858 -0.000286 0.05137754 0.06285554 0.0772396 0.02889357 0.03172184 0.02085462 0.17283154 -0.13890414 -0.12329519 0.00540938 0.0839881 0.17105211 -0.17076021 0.17737451 0.15382762 0.02224784 0.03757662 0.17823355 0.00559432 0.04495241 -0.19233824 0.17670651 -0.16220994 0.01109212 0.0010229 0.05568915 0.17820694 0.12135386 0.00478297 0.08435807 0.0153768 0.02888128 0.02439195 0.03483598 -0.00231844 -0.14567943 0.0619941 -0.06261339 -0.01353421] [ 2.82132663e-02 1.19822167e-01 8.25259387e-02 -3.72048374e-03 -5.15125599e-03 -1.10597312e-01 7.38482177e-02 4.84965742e-02 1.63941160e-02 1.62917655e-02 1.34465382e-01 1.39250010e-02 3.65271196e-02 -7.05172271e-02 1.49295917e-02 9.11098421e-02 1.05320485e-02 7.00599933e-03 1.60233349e-01 -1.83635160e-01 -7.90928751e-02 -1.78516448e-01 2.24324092e-02 1.48783877e-01 2.34075151e-02 2.42352299e-02 5.24553433e-02 -6.52985275e-03 -8.40609819e-02 7.69559294e-02 -5.86513951e-02 -1.17923290e-01 2.67790891e-02 2.28248499e-02 1.58049121e-01 1.40804984e-02 4.16960269e-02 1.11212946e-01 -4.03909907e-02 1.81640044e-01 -1.36487991e-01 -5.47885837e-04 1.10255294e-02 2.50688219e-03 -1.62228584e-01 -5.31504713e-02 1.74196344e-02 9.83549189e-03 1.89779345e-02 -1.35212941e-02 2.14948822e-02 1.41480453e-02 2.88865510e-02 1.58778634e-02 2.94175074e-02 2.02309806e-02 1.20752521e-01 -4.50206213e-02 8.19860399e-03 4.25642766e-02 -3.04364301e-02 2.07517982e-01 -3.63123766e-03 3.38624828e-02 2.38649566e-02 -9.38952267e-02 3.20902802e-02 5.10175377e-02 2.47223042e-02 -1.70846656e-01 -1.26502752e-01 1.28307529e-02 3.10663553e-03 -1.46633564e-02 8.66275001e-03 4.27188054e-02 4.16632965e-02 5.69537841e-02 -2.25301459e-02 -3.30924466e-02 1.76072326e-02 -1.12986807e-02 -2.07239558e-04 1.97982788e-01 -1.52441822e-02 1.04290709e-01 8.35120603e-02 1.57211144e-02 1.30249485e-02 7.03492388e-02 -3.85241322e-02 -1.75481483e-01 3.24310437e-02 2.15137899e-02 1.51692983e-02 2.14868650e-01 2.64298283e-02 1.15016282e-01 -1.32164895e-03 -9.16927308e-02 -1.11599043e-01 -7.25488290e-02 1.03526145e-01 -2.64822602e-01 1.57777816e-02 2.79066749e-02 -2.92394590e-02 1.10986615e-02 3.88109200e-02 1.77473515e-01 -5.99414706e-02 -1.48339793e-01 5.45525458e-03 1.97951943e-02 -7.14112818e-02 1.82919934e-01 -1.71234414e-01 -2.07864828e-02 8.46062005e-02 1.91230420e-02 8.77853110e-03 2.35166550e-01 4.73822691e-02 2.10193265e-02 -1.98252514e-01 3.08358334e-02 -1.07782446e-01 -2.02251989e-02] Cos Similarity tf.Tensor(0.017626334, shape=(), dtype=float32) (128,) (128,) [-0.13908547 -0.14056839 -0.04611497 -0.15382037 -0.00031156 0.01365735 0.06802516 0.11377285 0.01325078 -0.00071207 0.00960816 -0.0138323 0.0049665 0.1547581 -0.01210978 -0.0516743 0.00043337 -0.1449713 0.14764443 0.052233 0.05789225 -0.05110285 0.02216 0.09758817 -0.00347543 0.01085072 -0.16503716 -0.0213756 0.18243532 -0.12409077 0.17438929 -0.00044504 -0.00131236 -0.01427405 0.0152472 -0.05888728 -0.00976904 0.1410047 -0.00050306 0.16661792 -0.17547417 -0.00487357 -0.0019319 -0.01257958 0.04706265 -0.12327349 -0.18996844 -0.01091333 -0.0019034 0.00404026 0.00277836 0.00599199 -0.01200968 0.00484266 -0.00430944 0.01053088 -0.19797531 -0.00505563 -0.01285033 -0.01239781 -0.04432534 -0.07440346 0.12166542 0.0007277 0.19751813 0.08928064 -0.00150819 -0.02815995 -0.00679216 -0.00732273 0.14246008 -0.05194476 -0.0008517 0.01083307 -0.00833648 0.00765823 -0.01916016 0.09689856 -0.00256019 0.20111379 -0.02045236 0.00714795 -0.00710284 -0.05897599 -0.20929115 0.15748578 -0.18056086 0.00632623 -0.00509508 -0.05431767 -0.04801651 0.10237737 -0.01818677 0.0010094 0.00920396 -0.00741013 0.00044383 -0.0535563 0.00092305 -0.02734961 0.21513659 0.13267957 0.11781996 0.16808294 -0.00391732 -0.01012112 0.13126121 -0.03256539 -0.00475609 0.14489737 0.1741077 0.02625454 -0.00424314 -0.23482879 0.0121014 0.02102328 -0.09577071 0.0035484 -0.13085252 -0.03239587 -0.00607694 0.04121572 0.00308944 -0.01994276 0.10808271 0.05676259 -0.01222739 -0.00620632] [-1.91068619e-01 -1.74914807e-01 8.15924481e-02 -7.25469589e-02 5.96227963e-03 -3.77355935e-03 4.33192290e-02 1.48720428e-01 9.44795366e-03 6.10935409e-03 -2.19421402e-01 8.70445464e-03 1.26903821e-02 6.72471970e-02 3.75101492e-02 -7.08165346e-03 4.90089040e-03 6.30822405e-02 1.66697443e-01 2.96914056e-02 1.19527571e-01 6.84485212e-03 3.63316014e-02 1.93009898e-02 -4.33510775e-03 9.28967912e-03 8.61360580e-02 -1.18510891e-02 1.82489231e-01 -9.20253173e-02 -1.62636742e-01 -5.20892888e-02 3.23822652e-03 9.76333115e-03 1.23833574e-01 -2.28528399e-03 2.90477625e-03 -1.03833608e-01 -1.58933997e-02 1.33237585e-01 1.11004345e-01 -6.07668515e-03 -2.54854589e-04 -4.80669132e-03 1.97091237e-01 -1.02025576e-01 -2.81279907e-02 -3.04253749e-03 2.31583626e-03 1.39200138e-02 3.03012482e-03 6.34762365e-03 -5.43529633e-03 5.24801807e-03 1.18553508e-02 1.79216489e-02 -1.21884115e-01 -1.21379003e-03 -1.23441676e-02 5.36883669e-03 -1.63601816e-01 -1.60670415e-01 1.12012282e-01 9.65094194e-03 -6.91118687e-02 4.91024591e-02 -9.71845258e-03 2.99679413e-02 2.11529131e-03 3.35637331e-02 7.55583867e-02 -1.74091429e-01 -1.88762788e-03 1.51333259e-02 8.41853581e-03 1.26279099e-02 1.79048274e-02 1.30753055e-01 4.92262363e-04 1.89368442e-01 -1.42066162e-02 3.52845085e-03 9.89414752e-04 1.12186044e-01 -2.21583858e-01 1.30018398e-01 -4.71082628e-02 2.54118792e-03 -7.09750643e-03 1.07938677e-01 4.12881486e-02 1.58529609e-01 9.37371369e-05 4.87102987e-03 -3.60506517e-03 9.84133109e-02 -8.02328363e-02 -7.57339671e-02 9.60422866e-03 -3.91404051e-03 1.76550940e-01 1.33335799e-01 -3.32836695e-02 1.70177415e-01 -3.06447945e-03 -1.44838495e-02 2.14415610e-01 1.38029398e-03 5.89000876e-04 7.53796622e-02 1.37523741e-01 7.06701651e-02 7.57828401e-03 -1.44114241e-01 2.99573541e-02 8.91842246e-02 -1.71977773e-01 5.62768290e-03 -1.39623046e-01 -2.03555152e-02 1.68985024e-03 -1.32058799e-01 -1.50985783e-03 -1.76834036e-02 -1.69573426e-01 7.93034211e-02 -1.29142602e-03 -1.88809028e-03] Cos Similarity tf.Tensor(0.5289194, shape=(), dtype=float32) (128,) (128,) [ 1.34834304e-01 1.63996965e-02 -5.80242909e-02 4.05528694e-02 -9.61081404e-03 -2.10980490e-01 1.70243487e-01 -3.01037729e-03 6.18665665e-03 -1.51331434e-02 3.03674340e-02 -7.14383880e-03 8.55632417e-04 6.99657649e-02 5.00524156e-02 -2.10738257e-01 -9.18068364e-03 -1.38731390e-01 2.74929311e-02 -2.04469696e-01 2.39012614e-02 -1.60298329e-02 2.26200558e-02 1.19059257e-01 -8.77752726e-04 -6.59349083e-04 -1.88086554e-03 -1.77471731e-02 -1.12728402e-01 2.04542071e-01 1.70851827e-01 -6.15335815e-02 9.35257820e-04 -1.42078614e-02 -9.62731913e-02 -1.02954702e-02 -1.15232226e-02 1.33275855e-02 -7.31592218e-06 -1.39411077e-01 -2.07531340e-02 4.37001232e-03 3.38399084e-03 -1.22428294e-02 1.46876231e-01 8.47946107e-02 1.70026317e-01 1.85954152e-03 6.65343460e-03 3.95746523e-04 7.03564088e-04 3.81790358e-03 -1.00890929e-02 5.21788700e-03 -2.14060079e-02 7.35033909e-03 1.86842047e-02 -1.39776142e-02 6.64773397e-04 -8.71234015e-03 1.29914284e-02 -1.61558628e-01 -1.10271156e-01 -2.16484740e-02 -6.99825436e-02 -1.49531290e-01 -1.86339878e-02 2.22427011e-01 -7.32353516e-03 -1.48010090e-01 -1.66452974e-01 1.38889298e-01 -1.56898191e-03 5.40753407e-03 -1.33610070e-02 5.58035681e-03 1.92950352e-03 -1.59535021e-01 2.67443573e-03 3.53340805e-02 -7.15921400e-03 -5.99138066e-02 1.26857758e-02 -2.02085122e-01 -1.64450966e-02 -3.13074002e-03 9.86794755e-02 9.24898311e-03 -1.12005929e-02 1.65380642e-01 1.86068807e-02 1.34005006e-02 1.04273828e-02 4.90920618e-03 -1.31265260e-03 1.85455218e-01 7.69562973e-03 5.05591147e-02 -1.61445476e-02 -2.13245004e-01 -1.04833432e-01 1.92692429e-01 1.39957219e-01 -1.13763027e-01 -2.40574032e-03 -6.76230760e-03 -1.54525757e-01 2.32029203e-02 -1.68454703e-02 2.65048295e-02 1.56204790e-01 1.64653152e-01 -9.59525444e-03 7.15720505e-02 5.82949370e-02 -1.75155699e-01 9.27372202e-02 -1.27466498e-02 5.54805668e-03 -1.94296632e-02 -6.27905969e-03 -7.84905553e-02 -4.07263666e-04 -1.08436551e-02 -3.80601659e-02 2.99459193e-02 5.72262593e-02 -1.34770004e-02] [ 6.93970099e-02 1.61599647e-02 -2.29525995e-02 4.04355787e-02 -1.08458949e-02 -2.01082528e-01 1.66927025e-01 -6.36492390e-03 8.66175722e-03 -1.67341176e-02 1.50353536e-02 -3.02751898e-03 6.39226579e-04 -7.03699291e-02 6.24807365e-02 -2.10593462e-01 -9.51766688e-03 -1.51139587e-01 -4.41656895e-02 -2.07190111e-01 1.01523334e-02 9.86764021e-03 2.53434051e-02 1.22576170e-01 1.45748456e-03 -1.52186185e-04 -6.88542100e-03 -1.97434966e-02 -1.08927369e-01 1.93929195e-01 1.70714960e-01 -4.62020822e-02 1.82287462e-04 -1.19095417e-02 -1.27272204e-01 -1.20639475e-02 -1.26346406e-02 -7.84111489e-03 1.03319064e-03 -1.16242655e-01 -4.14069965e-02 3.67664127e-03 4.47004521e-03 -1.48280933e-02 1.69773489e-01 2.59943120e-02 1.70557573e-01 7.01730372e-03 8.96246359e-03 1.19444088e-03 3.44627141e-03 4.99646692e-03 -1.06119551e-02 4.80626896e-03 -2.17494853e-02 6.50862092e-03 2.51849797e-02 -1.52273830e-02 7.70433282e-04 -4.69265832e-03 1.63171452e-03 -1.65064320e-01 -1.26261726e-01 -2.10800897e-02 -8.14282969e-02 -1.17941551e-01 -1.78229250e-02 1.84891135e-01 -7.73392664e-03 -1.35850593e-01 -2.01121330e-01 1.56992435e-01 -1.89508405e-03 4.91199037e-03 -1.21181710e-02 4.50418191e-03 -1.74403447e-03 -1.65184811e-01 1.71898666e-03 4.10570130e-02 -4.54326021e-03 -7.08839372e-02 1.44969719e-02 -2.02764511e-01 -5.27560012e-03 -8.29170737e-03 6.33107796e-02 9.46559478e-03 -1.22541366e-02 1.58727512e-01 1.74356997e-02 -2.17744522e-03 8.24072957e-03 3.25763063e-03 8.90726980e-04 1.85664997e-01 9.19696782e-03 1.80563834e-02 -1.80292446e-02 -2.18451411e-01 -1.00409538e-01 2.00908884e-01 1.90418899e-01 -9.48157087e-02 -2.51837843e-03 -7.86343589e-03 -1.50408253e-01 2.08854601e-02 -1.77925751e-02 3.11811045e-02 1.64037183e-01 1.62294999e-01 -8.98759346e-03 5.76206967e-02 6.47833124e-02 -1.86282620e-01 9.35690254e-02 -1.44092860e-02 3.12893093e-03 -1.12631144e-02 -2.31745373e-03 2.44672745e-02 -1.40240043e-03 -2.55636685e-03 -8.85889530e-02 2.52805799e-02 9.12871733e-02 -1.65819842e-02] Cos Similarity tf.Tensor(0.967807, shape=(), dtype=float32) (128,) (128,) [-3.94462012e-02 -4.08277959e-02 6.84787929e-02 -5.95011488e-02 -3.34831700e-03 -5.03804581e-03 1.04238480e-01 3.17247808e-02 -5.25540533e-03 -9.32675973e-03 8.28444958e-03 -1.03181861e-02 5.34619624e-03 -9.65587646e-02 6.65364861e-02 1.30242914e-01 4.76695877e-03 5.21735176e-02 3.67455184e-02 -1.68262526e-01 -1.18815869e-01 -2.18287304e-01 -7.65765607e-02 2.86175217e-02 -9.42969695e-03 5.56632818e-04 2.33074613e-02 3.36689729e-04 -4.59542572e-02 -8.35880712e-02 -1.61831170e-01 3.38991433e-02 -7.80077977e-03 -7.19533302e-03 1.84511527e-01 5.30068437e-03 9.22312029e-03 -1.45480782e-01 -9.76640731e-03 -5.47373407e-02 1.16024853e-03 -1.06583219e-02 -6.10605255e-03 -3.27220443e-03 2.85931937e-02 6.94965124e-02 -5.40152974e-02 -1.31082125e-02 5.75255882e-03 -4.66668420e-03 4.24886541e-03 -2.39860034e-03 -1.83752943e-02 9.02742520e-03 -2.20778864e-03 7.02614943e-03 1.26198947e-01 -5.53836673e-03 1.89609884e-03 1.39058288e-02 6.77914843e-02 6.37728795e-02 1.96102217e-01 -1.99311376e-02 8.38392451e-02 2.09264204e-01 -1.48756884e-03 9.59548727e-02 -9.54309851e-03 2.14058861e-01 -9.10715163e-02 -4.65583801e-02 2.68062402e-04 6.66507101e-03 -7.54733803e-03 2.07761694e-02 -1.40116856e-01 -4.85997461e-02 -4.24896181e-03 1.95724368e-01 -1.00570582e-02 -1.68454107e-02 -9.85101287e-05 4.81962785e-02 7.37641603e-02 2.07784981e-01 2.30071187e-01 6.88055437e-03 -4.24727052e-03 -1.46988899e-01 -1.08632058e-01 1.06338389e-01 -8.04487709e-03 1.56433079e-02 -6.48433296e-03 -1.85391054e-01 2.00313963e-02 -2.08504051e-01 -5.60410414e-03 -8.08554441e-02 -2.19283089e-01 5.29388115e-02 -2.36887042e-03 1.61829486e-01 -3.94886360e-03 -1.45407943e-02 1.34032845e-01 1.46599738e-02 -1.14914607e-02 1.64886281e-01 1.43317521e-01 7.48280063e-02 -2.06687935e-02 3.66628990e-02 4.19587456e-02 2.79947231e-03 -1.00652367e-01 -3.14875436e-03 -2.00274542e-01 -1.24386121e-02 -2.44238251e-03 -9.39704627e-02 1.14328293e-02 1.27989962e-03 2.18451262e-01 1.19230840e-02 6.96075931e-02 1.56172481e-03] [-7.70418942e-02 -9.41495672e-02 3.67733389e-02 -2.50632446e-02 5.71498089e-03 -6.22657798e-02 1.22944050e-01 3.30062471e-02 -3.06740566e-03 -8.13810434e-03 1.03758141e-01 -1.79652474e-03 1.57632548e-02 -8.46025795e-02 4.62215357e-02 1.37346610e-01 -9.41566657e-04 5.16514741e-02 3.79708111e-02 -8.61449838e-02 -1.43724769e-01 -1.97041109e-01 -8.60817730e-02 -2.77621616e-02 -1.01354914e-02 1.34109880e-03 1.84685979e-02 -3.60369589e-03 1.32237822e-01 -2.99915783e-02 -1.85891856e-02 1.67994708e-01 -5.68024302e-03 -3.14807799e-03 1.87230378e-01 7.91072380e-03 8.17533489e-03 -1.85316384e-01 -7.20870635e-03 -4.55854870e-02 1.17984340e-02 -1.40606798e-02 1.24089973e-04 -9.12759267e-03 -1.96888507e-03 1.53900325e-01 -1.26719266e-01 -1.17336158e-02 5.85949933e-03 -2.34369352e-03 4.47516935e-03 -2.80290353e-03 -1.27818957e-02 8.86023790e-03 -1.24958223e-02 4.69685812e-03 -1.54507747e-02 1.70099898e-03 1.91074924e-03 9.68701392e-03 6.88485503e-02 -3.82482708e-02 1.95422933e-01 -6.81225723e-03 -1.00174710e-01 2.02051729e-01 -6.98290067e-04 8.09227601e-02 -8.73573218e-03 1.89031735e-01 -8.12509358e-02 4.21273671e-02 9.02570784e-04 7.92370271e-03 -4.72637499e-03 1.93842910e-02 -1.09262489e-01 -4.73599993e-02 -3.61368083e-03 1.74039513e-01 -1.41412225e-02 -1.43288514e-02 -8.68980121e-03 3.90422530e-02 -9.29459780e-02 1.89285964e-01 1.98271498e-01 5.04301535e-03 -5.98071376e-03 -1.53130099e-01 -1.52656019e-01 1.56806752e-01 -9.61131789e-03 1.16583314e-02 -5.41275600e-03 -6.50845468e-02 1.32752245e-03 -2.02780768e-01 -4.52060997e-03 5.29478490e-02 -1.91220909e-01 1.52684137e-01 1.06345512e-01 1.00493185e-01 -1.87072332e-03 -8.50324240e-03 1.12581544e-01 1.44738210e-02 -9.95076075e-03 1.94934309e-01 9.88414958e-02 1.68600127e-01 -1.91251077e-02 5.92853315e-02 5.30276746e-02 -8.03175122e-02 -1.58599600e-01 -4.48163366e-03 -1.39113888e-01 -6.26629591e-03 -2.00629444e-03 -1.01480775e-01 1.09860441e-02 -1.47317955e-03 2.08836019e-01 -1.06467698e-02 7.34696090e-02 -3.50453099e-03] Cos Similarity tf.Tensor(0.8424219, shape=(), dtype=float32) (128,) (128,) [ 1.15664028e-01 -1.37666404e-01 4.27134596e-02 -1.34188876e-01 7.99337402e-03 4.64572124e-02 -1.07584581e-01 3.36615779e-02 2.41086097e-03 -2.83416105e-03 -1.92215927e-02 -6.65572006e-03 1.91103816e-02 -2.28054933e-02 1.64631411e-01 1.54747993e-01 2.40386389e-02 4.27459031e-02 1.53365344e-01 2.24639196e-03 1.64949656e-01 -1.82422698e-01 6.13260977e-02 6.32516369e-02 3.45918238e-02 1.41821534e-03 1.85296610e-01 1.45246945e-02 -7.99693575e-04 1.14692628e-01 -1.05755962e-01 1.40578225e-01 3.20875645e-02 1.71209816e-02 1.09846167e-01 -6.76395744e-03 1.90955214e-02 5.49516939e-02 -1.65422205e-02 4.39187288e-02 7.06362128e-02 8.01326055e-03 9.61234141e-03 1.54809644e-02 1.45089686e-01 4.67686243e-02 -1.02926046e-01 8.62344448e-03 1.41223697e-02 6.56824419e-03 1.70076583e-02 6.06778124e-03 2.95468718e-02 1.96111072e-02 3.32457311e-02 2.36611981e-02 2.00994566e-01 9.12731327e-03 1.92765035e-02 -1.02933589e-03 -2.00552167e-03 -4.44650911e-02 1.90550044e-01 2.96804253e-02 8.62245783e-02 -9.66842100e-02 4.81117924e-04 -1.31053012e-02 1.48630235e-02 -8.85220543e-02 -1.29850313e-01 -1.45627394e-01 1.51553312e-02 5.77058503e-03 1.24166906e-02 3.01724058e-02 1.73153609e-01 -1.19631745e-01 3.01064202e-03 -1.78748652e-01 2.48013642e-02 -3.94979343e-02 1.22352066e-02 -1.79791495e-01 -1.83907792e-01 4.39041145e-02 -3.06123644e-02 1.14039052e-02 3.07735824e-03 -5.29033132e-02 -1.11359194e-01 1.88380897e-01 1.33527396e-02 4.02204599e-03 3.13032186e-03 1.10978164e-01 1.32497132e-01 -2.06971154e-01 8.24486092e-03 9.37054493e-03 1.72540575e-01 -1.27202496e-01 -4.17686142e-02 1.51678324e-01 2.01083109e-04 8.70462693e-03 1.50040731e-01 1.70574952e-02 2.92380191e-02 -2.06606865e-01 1.42458916e-01 -9.39347222e-03 2.12832801e-02 -5.65530593e-03 7.83403888e-02 2.43222415e-02 1.57414880e-02 -6.43238099e-03 1.92767307e-01 -2.40142513e-02 7.76185188e-03 -9.97644290e-02 3.56910154e-02 -3.61842960e-02 4.25845236e-02 9.24226120e-02 5.53094484e-02 6.42898493e-03] [ 0.09054609 0.15759644 0.0634415 0.02645914 -0.01782302 -0.08959799 0.09386414 -0.04530904 -0.007475 0.01715622 -0.0067227 0.04057835 0.02676698 -0.17862763 0.09972207 0.14867526 0.04575016 0.08183574 -0.22256488 0.03325082 -0.05685078 0.00107596 -0.02905291 -0.07676749 0.04250596 -0.00887748 0.00223411 0.00528534 -0.04475508 0.17632237 0.08165924 0.10904307 0.03924867 0.04450311 0.18496175 0.04265605 0.0419025 -0.07460581 -0.04984251 0.00713132 0.02110921 -0.00735141 0.02753743 0.00585559 -0.17607145 0.00093538 0.10143441 0.05332774 0.03079882 0.0098287 0.0254478 0.00837518 0.08248048 0.01533915 0.07077981 -0.01180496 0.22028981 0.0357717 0.02966909 0.03778703 -0.17068322 -0.17749542 -0.09162121 0.0264649 -0.06632981 -0.22388196 -0.00118203 -0.11590574 0.01424985 0.07691586 -0.17970431 0.21247095 0.00461627 0.01477567 0.02811854 0.04375726 0.15116979 0.07871289 0.02312434 -0.09743842 0.04723224 0.00386522 -0.00375434 0.00559803 0.15745637 0.0172558 -0.125706 0.01390008 0.0200353 0.11513042 -0.10535631 -0.02262684 0.03962744 0.02509595 0.02645644 0.03688333 0.04416926 -0.10843413 0.0294005 0.12359051 -0.03307436 0.14422533 -0.22578649 -0.17455082 0.02458897 0.03316106 -0.02398339 0.05645173 0.06957518 -0.15063606 0.0932292 0.1234925 0.04042489 -0.05230875 -0.07359849 0.06826414 -0.15341806 0.0307085 -0.05676941 0.03793858 0.02477981 -0.01884913 0.07315246 0.02746698 -0.01968717 -0.00662642 0.12264353 -0.00101308] Cos Similarity tf.Tensor(0.07218999, shape=(), dtype=float32) (128,) (128,) [ 2.29690336e-02 2.86293812e-02 6.95822835e-02 -1.97600856e-01 -6.32414082e-03 -4.46899347e-02 4.69311662e-02 -4.62342016e-02 -7.92331062e-03 6.34962413e-03 -2.29424998e-01 1.74357533e-03 2.94746812e-02 8.88026729e-02 5.11351526e-02 -1.35416150e-01 2.39795316e-02 1.42670229e-01 1.35079756e-01 -4.98587191e-02 -1.17094275e-02 9.35756043e-02 6.90915436e-02 4.19293456e-02 -5.83251799e-03 -1.84380228e-03 -7.58885294e-02 -4.96073999e-03 2.07452197e-02 -1.35054156e-01 -1.83873489e-01 6.52962103e-02 1.06514776e-02 1.88208316e-02 1.48958102e-01 4.68974654e-03 3.56478468e-02 -7.45103583e-02 -2.36426014e-02 -1.39956862e-01 -2.13002469e-02 -4.05184273e-03 6.69820118e-04 -1.13548832e-02 1.45075813e-01 1.41486466e-01 8.79638419e-02 1.83597077e-02 1.60893369e-02 3.74163352e-02 1.05062081e-02 8.85988586e-03 1.41243385e-02 1.74029805e-02 2.76320986e-02 2.76973378e-02 1.39037734e-02 1.94543693e-02 1.32399732e-02 1.29790697e-02 -1.83947504e-01 1.66224893e-02 1.60831362e-01 2.36594453e-02 7.89984688e-02 1.75085440e-01 9.15942341e-03 1.11331396e-01 7.61988154e-03 2.04997614e-01 -3.24644074e-02 1.08536556e-02 1.04320212e-03 -8.94903147e-04 -4.74257488e-03 4.95506674e-02 1.22631945e-01 -8.79129171e-02 -1.32816436e-03 -3.28720734e-02 -5.08614990e-04 -1.35186613e-02 1.37775950e-02 1.83885416e-03 -1.95786819e-01 2.00255901e-01 1.86275765e-01 8.38445034e-03 -8.32610764e-03 1.67484194e-01 4.33263071e-02 -1.64648175e-01 2.19942573e-02 1.77782383e-02 1.08917803e-02 1.17788777e-01 7.97491800e-03 -1.97508782e-01 4.22904547e-03 7.12084770e-02 1.98811725e-01 -4.94480506e-02 -7.11532906e-02 1.56657714e-02 1.94851798e-03 -1.14795249e-02 1.72173053e-01 -5.02642756e-03 2.96964720e-02 -2.28461862e-01 -2.35476010e-02 -1.42789632e-01 1.71575323e-02 1.45871732e-02 1.35320360e-02 2.58699004e-02 1.23772927e-01 -1.27575342e-02 1.00148186e-01 -9.02168173e-03 9.82575366e-05 1.53667405e-01 1.27961207e-02 -2.76881438e-02 -1.69294268e-01 8.21645185e-03 4.03444655e-02 3.00754770e-03] [ 1.21870533e-01 -1.14686526e-02 5.15816621e-02 -1.61783963e-01 -6.94708712e-03 -8.55607837e-02 -1.62671670e-01 -1.28553985e-02 -1.36404485e-02 1.16974930e-03 -1.82373986e-01 -1.07856160e-02 1.57714002e-02 9.49646831e-02 2.42958553e-02 -1.49526745e-01 6.07473636e-03 1.68629155e-01 1.59452587e-01 -1.10255457e-01 -1.42228991e-01 3.67777273e-02 8.78153592e-02 5.10339178e-02 2.61595636e-03 9.09869652e-03 1.62532553e-01 1.00995349e-02 1.62506208e-01 1.70586616e-01 -1.80126533e-01 1.16551310e-01 1.76168364e-02 2.31163930e-02 1.24627501e-01 2.01576035e-02 1.62831433e-02 -1.54723927e-01 -1.97658259e-02 5.42453229e-02 1.47569582e-01 -1.48008214e-02 -1.88425451e-03 4.59551997e-03 1.00548856e-01 9.80114415e-02 -1.01451524e-01 2.04622019e-02 1.29571771e-02 2.31827106e-02 1.87684631e-03 5.61508955e-03 2.08129617e-03 1.19475322e-02 1.32929590e-02 1.43231312e-02 -3.01221106e-02 1.15092937e-02 6.86033024e-03 5.26461285e-03 6.23337440e-02 5.13009056e-02 1.03732087e-01 1.33390734e-02 -1.37473300e-01 -1.71955377e-02 3.50622484e-03 7.41226971e-02 8.39347113e-03 1.37731999e-01 -5.81092238e-02 8.38793907e-03 -1.28388824e-03 1.07773906e-02 5.96890738e-03 2.31212322e-02 1.65398151e-01 -7.92736560e-02 -9.57913138e-03 2.52299421e-02 -1.61948148e-04 -3.06246220e-03 1.42966378e-02 -1.39555521e-02 -1.78514108e-01 5.96656278e-02 -6.26818463e-02 -1.38092402e-03 -7.88526516e-03 6.87816516e-02 1.04522519e-01 1.64077520e-01 9.18550976e-03 -5.71719883e-03 2.00215615e-02 1.58915088e-01 -1.50310218e-01 -1.74655467e-01 5.68513758e-03 3.30654234e-02 1.73188955e-01 1.28326751e-02 1.73627019e-01 8.58726799e-02 3.69472732e-03 -7.29600247e-03 1.83192834e-01 6.70308527e-03 1.49622085e-02 -1.79271266e-01 7.95862451e-02 5.80852218e-02 1.57031883e-02 -1.06162928e-01 7.25274847e-04 1.61892846e-01 1.52910993e-01 -1.27277467e-02 1.21681347e-01 2.07409505e-02 -1.85218714e-02 1.36144936e-01 1.23004969e-02 -1.68766137e-02 -1.61664724e-01 5.58533259e-02 -2.33464055e-02 -2.94753117e-03] Cos Similarity tf.Tensor(0.5294305, shape=(), dtype=float32) (128,) (128,) [-1.26543660e-02 1.96652249e-01 -4.86187041e-02 1.58771262e-01 5.17884456e-03 -6.91815168e-02 1.37470616e-02 1.18177921e-01 1.38671807e-04 -5.88554749e-03 5.54669909e-02 -9.29815602e-03 -1.10372959e-03 1.95132449e-01 1.00492299e-01 1.70611680e-01 5.65310847e-03 1.07432649e-01 -3.51854749e-02 -3.96565907e-02 -2.19169676e-01 1.18432701e-01 -1.35904521e-01 -1.15206487e-01 1.81484371e-02 -3.51898419e-03 1.12942629e-01 1.43644437e-02 1.89972073e-01 9.81500596e-02 -4.16083038e-02 -1.39447287e-01 -1.27804801e-02 1.48832528e-02 1.05868652e-01 1.72879023e-03 8.12876970e-03 -2.41940171e-02 -5.88322058e-03 1.28868148e-01 3.95334698e-02 3.25315213e-03 1.76425604e-03 -2.14942242e-03 4.31295810e-03 -1.09383546e-01 -1.19694015e-02 8.26800056e-03 1.80456918e-02 1.18741824e-03 -1.97765138e-03 3.52033647e-03 -1.62212607e-02 4.92748385e-03 9.56002902e-03 -8.58544558e-03 2.13554665e-01 7.57434033e-03 -1.20147015e-03 -6.81894226e-03 1.94404513e-01 1.13773629e-01 -5.35945967e-02 -2.62802257e-03 1.67485923e-01 -1.21140465e-01 -1.64089189e-03 -7.73419486e-03 8.40463489e-03 1.55607939e-01 -1.62743807e-01 3.42450216e-02 -3.81931709e-03 1.07438592e-02 1.55892957e-03 1.29449759e-02 2.06534788e-01 1.87328886e-02 1.36292924e-03 -3.03882733e-02 -2.96543445e-03 -2.84797791e-03 -1.74793287e-03 1.24125760e-02 -3.66771072e-02 -1.78517759e-01 1.80688679e-01 2.91434582e-03 -3.83449555e-03 1.33155242e-01 -9.48813185e-02 -1.56069145e-01 -1.86820310e-02 7.64814205e-03 1.23110963e-02 -6.88752579e-03 1.55693576e-01 1.10629961e-01 6.26983307e-03 1.17290840e-01 1.62839308e-01 1.87547281e-01 9.43554416e-02 6.47560433e-02 -9.96785611e-03 2.01419108e-02 1.57813862e-01 2.69620959e-03 -3.47096915e-03 -5.39706685e-02 6.92719594e-02 -3.75724435e-02 -7.31731812e-03 -8.26430321e-02 -6.47012442e-02 1.02362685e-01 1.09757269e-02 8.04185029e-03 -8.28441530e-02 2.37627216e-02 -2.94160011e-04 -1.54545203e-01 3.44089302e-03 -3.59712727e-02 1.56529889e-01 -2.95751859e-02 -8.28978270e-02 -5.31224906e-03] [-0.25855896 0.11136052 0.09733885 0.03640451 -0.01673677 -0.02257732 -0.05022369 0.02948013 0.01073647 0.01389803 -0.02073096 -0.02099968 0.00705117 0.04982579 -0.14075136 -0.04003198 -0.00405949 -0.09072141 -0.05804766 0.09250367 -0.00819662 -0.09742085 -0.22328956 -0.07505142 0.01153031 0.01233147 0.12551215 -0.0084599 -0.1427158 0.0470642 -0.15858857 -0.08303102 -0.0199295 0.00799205 -0.07834906 0.03569541 0.00571159 0.18276492 0.00360607 0.04857017 -0.05622231 0.00339712 -0.0064614 -0.00836091 -0.16244031 0.14920987 -0.02159129 -0.00400975 0.00948844 0.03849163 0.01278471 -0.00178935 0.0172693 0.00279942 0.00510116 -0.00398789 0.17256133 -0.02369391 0.00688802 0.00903303 0.07746588 -0.0651166 -0.11683906 -0.00901714 0.14681044 -0.05229459 -0.01060423 0.20061791 -0.00059495 -0.08766264 -0.09908419 0.1242132 -0.00076775 0.00461167 0.00825399 0.01175844 0.02823983 -0.16011833 0.00466037 -0.2570368 0.00513038 0.02281013 -0.00503012 0.05996609 -0.15398422 0.15426694 -0.02493966 0.02038983 0.00420504 -0.00348438 -0.09334261 -0.14842299 -0.00939268 -0.00241469 0.0295702 -0.27005476 -0.01399966 -0.11799799 -0.00547259 -0.05046717 -0.00753532 -0.14216547 0.00571442 -0.1519226 0.00101663 -0.01692659 0.12256138 -0.0107225 0.01219676 -0.00735449 -0.1814579 0.18792427 -0.01541851 0.02353755 -0.07245257 0.23825428 -0.06496529 0.01043262 0.04844697 0.00980971 -0.0092382 -0.05215428 0.00080271 -0.01102836 -0.04798614 0.07306353 -0.01388373 -0.00699756] Cos Similarity tf.Tensor(0.09086437, shape=(), dtype=float32) (128,) (128,) [ 0.0231711 -0.17864272 0.05887289 0.16003712 0.00269772 0.13772225 -0.1752377 0.15581988 0.00971352 -0.01070434 0.1799508 -0.00132625 -0.01876244 0.15079601 0.02728642 0.11340655 -0.00231084 0.09727167 -0.06389794 -0.08442025 -0.07515546 -0.02751319 -0.03966934 0.15645732 -0.00418996 0.00687836 -0.17155664 -0.00095407 -0.11174201 -0.01170877 0.13027203 -0.1806232 0.0144744 -0.00465154 0.18069518 -0.0262359 -0.00825625 0.12667178 -0.00391018 0.10355815 -0.14009704 -0.00420712 0.00027916 0.01183327 0.1580758 0.16074884 0.15197852 0.00355487 0.00179665 0.00429582 0.00073709 0.00077522 0.00165942 -0.00158478 -0.00476461 0.00108236 -0.1736991 -0.00699541 -0.00143676 -0.00580503 0.07988527 -0.16396731 -0.11866662 -0.00228077 -0.17470607 0.15940864 0.00537783 0.08758033 -0.00909888 0.07171308 -0.00132724 0.18789712 -0.00297286 0.01243513 0.00019185 0.00648957 -0.1371737 -0.11490513 0.00308355 -0.18024625 -0.01035775 -0.00187494 0.0043745 0.07063164 0.02570659 0.15086298 0.01194915 -0.00080948 -0.00375307 0.04925113 0.10103338 0.0503045 0.0098931 0.00640695 0.0019557 0.07940715 -0.12681648 0.10741382 -0.00515147 0.14782536 0.01222807 -0.03922058 -0.07876854 -0.13759716 -0.00191017 0.00960381 -0.11227836 0.00827134 -0.01332038 0.05829662 -0.01780032 0.12698612 0.00385323 0.08693626 -0.08490178 0.11366431 0.14380084 -0.0019601 -0.09315645 -0.0053492 -0.00581101 -0.07554235 -0.00036245 -0.00348051 -0.11422253 -0.08636574 -0.08302397 0.00262411] [ 4.17767130e-02 -1.81651890e-01 6.62947297e-02 1.62873417e-01 3.62917827e-03 1.37799472e-01 -1.73186526e-01 1.59589425e-01 5.28557040e-03 -8.14946741e-03 1.74447298e-01 -5.52883022e-04 -1.48694571e-02 1.59205139e-01 2.66643018e-02 1.59256607e-02 -3.39502166e-03 9.60628763e-02 -9.15958360e-02 -6.43229112e-02 -8.34895745e-02 -3.17967944e-02 -5.11585064e-02 1.55332521e-01 -3.98940267e-03 8.27541482e-03 -1.23735979e-01 9.33359494e-04 -1.12135023e-01 -7.09146960e-03 1.26836345e-01 -1.73758432e-01 1.80246718e-02 -1.31623645e-03 1.85913652e-01 -3.09472103e-02 -4.89977747e-03 1.37643889e-01 -6.55898126e-03 1.69509143e-01 -1.06978185e-01 -8.62572808e-03 1.55480136e-03 6.55883644e-03 1.93179026e-01 1.60565823e-01 1.58468604e-01 5.45963133e-03 2.23549944e-03 4.40619327e-03 1.23193185e-03 1.31901156e-03 5.23218978e-03 -1.33938866e-03 -9.45557375e-04 2.42089294e-03 -1.76483184e-01 -6.81224279e-03 1.64367651e-04 -4.20942856e-03 7.95679241e-02 -5.70364557e-02 -1.09183259e-01 1.33963756e-03 -1.75739676e-01 1.69199690e-01 5.74764004e-03 9.70251784e-02 -6.60361256e-03 8.15315172e-02 1.23471782e-01 1.88695207e-01 -5.43064624e-03 1.38748502e-02 2.74476828e-03 5.02780313e-03 -1.35032997e-01 -1.11614920e-01 4.35916428e-03 -1.80558562e-01 -1.19669968e-02 -2.03652470e-03 2.59594573e-03 7.73200989e-02 2.56930348e-02 1.43990338e-01 1.06447376e-02 1.46688457e-04 -2.38006725e-03 5.33848070e-02 1.16979964e-01 4.19283099e-02 1.01228468e-02 9.51925199e-03 5.14728902e-03 8.26183408e-02 -1.28444344e-01 1.22483738e-01 -3.66754248e-03 1.50756791e-01 1.25377439e-03 -1.02367364e-02 -4.73703220e-02 -1.33468255e-01 1.44406990e-03 1.19548105e-02 -1.08168691e-01 6.92433864e-03 -1.07332869e-02 3.91021557e-02 -4.18866165e-02 1.11616328e-01 6.00771327e-03 9.51584205e-02 -8.67430642e-02 1.10403359e-01 1.36236817e-01 -5.20798797e-03 -6.40027523e-02 -2.06608418e-03 -5.21410070e-03 -1.03199415e-01 -1.45898876e-03 -4.62395279e-03 -1.27793193e-01 -8.34654048e-02 -7.16014057e-02 3.44453496e-03] Cos Similarity tf.Tensor(0.9728371, shape=(), dtype=float32) (128,) (128,) [-9.16152671e-02 -7.89861232e-02 9.38689336e-02 -1.23820558e-01 -1.86945535e-02 -5.02423523e-03 -1.09887555e-01 -1.63916528e-01 -6.11919817e-03 1.14008998e-02 7.00763837e-02 2.91260816e-02 3.75466608e-02 -1.55963928e-01 1.48042932e-01 -1.46222949e-01 1.65012069e-02 7.42444815e-03 -1.32785484e-01 2.89237387e-02 1.47754759e-01 -1.83242515e-01 1.63428843e-01 -8.29359442e-02 4.55801040e-02 9.08190478e-03 7.72459358e-02 1.06791770e-02 4.72653424e-03 7.34634697e-03 -2.04222903e-01 1.72296152e-01 -4.87033371e-03 1.38965379e-02 -1.24789007e-01 -8.71856464e-05 2.76694000e-02 2.92912535e-02 -2.72647515e-02 2.96110082e-02 -7.42219314e-02 -1.42794359e-03 1.09039946e-02 1.05161658e-02 -7.58430660e-02 -1.49322361e-01 -2.49992721e-02 2.26037316e-02 3.37224416e-02 9.02382657e-04 4.04092809e-03 -2.01811851e-03 4.33730893e-02 1.96057912e-02 4.81467471e-02 7.08045438e-03 5.75475954e-02 -3.50488327e-03 4.11436297e-02 2.85392329e-02 -1.36345644e-02 -1.06414817e-01 1.76163405e-01 4.92191315e-02 -1.90710977e-01 -1.70637161e-01 -7.82493223e-03 3.12847015e-03 3.36306281e-02 3.77719998e-02 2.40824036e-02 1.71479315e-01 -7.44413212e-03 2.52033100e-02 1.67912301e-02 1.66582074e-02 -7.71125406e-02 1.07324444e-01 -2.03209333e-02 -1.78704441e-01 2.71969978e-02 6.98879128e-03 1.51000824e-02 9.45703685e-02 1.46708548e-01 -7.94587508e-02 3.97213995e-02 -3.23119829e-03 5.49218664e-03 1.32332221e-01 1.82627723e-01 4.51189093e-02 1.68633368e-02 3.38300280e-02 2.14730352e-02 -1.40175253e-01 1.77913621e-01 -2.42538122e-03 1.71447303e-02 1.54122293e-01 1.62776709e-01 1.67870671e-01 1.23823984e-02 1.47222444e-01 2.46126726e-02 -1.89486053e-02 1.46098420e-01 2.91537754e-02 5.10179996e-02 1.34633660e-01 -9.02418420e-03 -4.09983099e-02 3.36958356e-02 -2.46068016e-02 8.42958465e-02 -9.62026343e-02 -1.94535494e-01 1.75018851e-02 6.16731048e-02 5.83288483e-02 8.45726114e-03 1.84944272e-02 6.75939471e-02 6.03756122e-03 -1.62639514e-01 1.87116116e-02 1.12807818e-01 3.21150641e-03] [-0.10547587 -0.126323 0.13321301 -0.07601834 0.00419964 0.00133706 0.04055105 -0.07155444 -0.00889114 0.02262525 0.06051624 0.0582977 0.04421439 -0.12674795 0.11436197 -0.09570865 0.06539908 -0.04168833 0.06206379 0.00305409 0.02367347 -0.03301852 0.09374605 0.0273349 0.04620292 0.01169686 -0.12500408 0.00674185 -0.18280722 -0.20084096 -0.18058018 0.17150639 -0.02591854 0.04548776 -0.15540761 -0.07640035 0.00709352 0.05687717 -0.0403027 0.0740743 -0.1608592 0.00149185 0.01839687 -0.02112704 -0.03642149 -0.12595166 0.00164028 0.03326907 0.03747766 0.02893842 0.020055 0.00461116 0.09168575 0.02097536 0.09031343 0.07665074 0.1031367 -0.02638077 0.07393353 0.02949964 -0.00020873 -0.09512895 -0.16456711 0.04998519 -0.19109948 -0.18373056 0.01005145 -0.07652631 0.04979675 0.08076549 -0.04151895 0.09633806 0.01788576 0.05767058 0.02057124 0.03122723 0.16918303 0.01255026 -0.04887411 -0.04994521 0.0330663 -0.00841904 0.01395111 -0.15735142 0.14182353 0.00771985 0.10007246 0.01113927 0.02313251 0.1406311 0.14300944 0.06455631 0.04029144 0.07248533 0.03713888 -0.12791103 0.03014649 -0.04755355 0.01245272 0.19175923 0.16167009 -0.15996456 0.06146242 0.15891138 0.0374875 0.00886049 -0.17715222 0.02894681 0.07675602 0.16037156 0.05430198 -0.08701817 0.02019656 0.09863565 -0.07829633 -0.09097381 0.12535399 0.01543729 -0.02603888 0.09415848 0.04092462 0.09381143 0.07344478 0.04164272 -0.12793371 0.05964104 0.06868172 0.00893228] Cos Similarity tf.Tensor(0.4913411, shape=(), dtype=float32) (128,) (128,) [-0.04696876 -0.07149573 -0.03845589 0.01861392 -0.00682488 -0.00945024 -0.17289568 -0.15192495 0.00123251 -0.00328659 -0.23622583 -0.0011636 0.00809932 -0.0848804 0.14038818 -0.12651391 -0.00634596 -0.22821629 0.15345217 -0.14920859 0.02394517 -0.0231833 0.07123552 0.17372212 0.00918348 0.00676598 0.1558344 -0.022495 -0.06833445 0.1708081 -0.10280298 -0.03126648 0.01390394 0.00532212 -0.17648837 0.003224 -0.01045326 0.12759484 -0.00171511 0.0224524 -0.1791435 -0.0041527 -0.01970092 0.00038791 0.01405053 0.04899863 -0.0504902 0.00361504 0.00841047 -0.00521552 0.00422356 0.00468167 -0.01676327 0.00082674 -0.01193924 0.00959599 -0.07137283 0.00678005 0.0124466 0.00158114 0.00579583 -0.06463301 0.19040386 -0.00190404 0.04047407 0.1717135 -0.00232113 -0.02344088 -0.02173006 -0.19010703 0.09675712 -0.06130746 0.00272113 -0.01351595 -0.00385364 0.01419228 -0.1550044 0.08189906 -0.00461006 -0.05869953 -0.01342482 0.03787305 -0.00303657 -0.20303024 -0.04704325 0.10434601 -0.15712212 0.00548403 -0.00049557 -0.10504003 0.07414552 0.13252862 0.00396835 0.00950454 -0.01809846 -0.05184044 -0.19695166 -0.11239894 -0.00291414 -0.16674475 0.17351025 0.17598018 0.03449434 0.07581709 0.00395271 0.00625323 0.01883176 0.03890552 -0.01496106 -0.12031759 -0.00122573 0.2043281 -0.00922161 -0.09163437 0.07977108 0.00799085 0.0028388 -0.00749774 0.11427674 -0.01084817 -0.00088474 0.12398981 0.01440637 -0.01151769 0.10467427 0.08460329 0.01975982 -0.00941885] [ 0.14539503 -0.0840328 -0.08097575 0.17558588 -0.02269139 -0.00230944 0.02277259 -0.17547151 0.00691845 0.0024122 -0.20901175 0.01233652 -0.00510482 -0.13839178 0.03995196 0.05794109 0.00749586 0.02208128 0.00738656 0.04249787 0.21171859 -0.14917788 -0.11387091 0.0217485 0.01561798 0.00510171 0.14479508 -0.00278784 -0.04665766 -0.0892518 0.19611163 0.07970931 0.0190165 0.02182007 0.17356232 0.00706458 0.01435711 -0.02717743 -0.01357985 0.07961028 0.10318638 -0.00431698 -0.00337803 -0.00953641 0.13142751 0.16546401 -0.05913915 0.00711584 0.01718025 0.00611193 0.01065264 0.0054852 -0.0055163 0.00591836 -0.00116883 0.0155678 -0.05109191 -0.00066053 0.02908857 -0.0029037 -0.00346443 0.01725613 -0.05735645 0.02145389 -0.08571052 0.13818748 -0.00724641 -0.00287304 -0.01114988 -0.11347126 0.09668236 0.06810711 0.00474759 0.00310264 0.00287345 0.01724515 0.00946741 0.06009425 -0.01067656 0.05506882 -0.02349101 -0.01237952 -0.01921944 -0.09906524 0.16233552 0.02447311 0.15286148 0.00702423 0.01487089 0.18784034 0.10860639 0.07472269 0.00395764 0.02611702 0.00741956 0.14968973 -0.23047087 -0.18858987 0.00198183 0.15018888 0.23154415 0.2061421 0.12706044 0.08820844 0.00579746 0.02175744 -0.22084114 0.00462178 -0.00812702 -0.06049894 -0.12941742 -0.16279115 0.00869736 0.02086508 0.0056002 -0.14117034 0.04326408 -0.0096197 -0.08964855 -0.02110679 0.00490729 -0.0166635 0.02796462 -0.01187754 0.09013915 0.05927152 0.01863539 -0.00508075] Cos Similarity tf.Tensor(0.15440603, shape=(), dtype=float32) (128,) (128,) [-0.20768552 -0.18041945 0.028494 -0.08012214 0.00151787 -0.09417315 0.15273392 0.19480437 0.00305684 0.00097854 0.11329468 -0.01073519 -0.00409983 0.1051968 -0.01315447 -0.15680493 -0.01926872 0.00741766 0.1606384 0.03669534 0.05534186 -0.18707588 -0.01507567 0.04879006 -0.00058891 0.00099048 0.03815573 -0.03172072 0.19300683 0.08941874 0.1701236 0.08479138 -0.00983196 -0.02946633 0.0124803 -0.05558542 0.00215392 -0.18693972 -0.00326943 0.01110675 -0.04779534 0.00541758 -0.01920703 0.00133277 0.03959043 0.1948205 -0.15273592 -0.01232128 -0.00181474 0.00112229 0.0046928 0.00714208 -0.02268954 0.0012155 -0.01834442 0.00115649 0.05409035 -0.00962153 -0.00061437 -0.00388041 0.07099063 0.13533555 -0.15091132 0.00073393 0.10322829 0.19825546 -0.01073697 -0.00607989 -0.00910725 -0.05284843 -0.10311411 0.08644485 0.00425838 0.00532064 0.00239409 -0.00522517 -0.00330383 -0.09345711 0.00247498 0.0798067 -0.02523467 -0.10288138 -0.00267268 -0.14126489 0.18162523 -0.16046005 -0.04648649 0.00563688 -0.01336189 -0.03208062 0.17059231 0.16652994 -0.01399152 0.00356424 0.00138642 -0.16952248 0.17266402 0.08561385 -0.01195077 -0.16258661 -0.18323748 0.04388165 -0.11541666 -0.05717459 -0.00263726 -0.0026588 0.02681712 0.00290137 -0.03315946 -0.10847491 0.00745628 -0.15540737 -0.02691225 0.03422163 0.00856117 0.00392603 0.09102077 0.00371708 0.12699704 -0.01753475 0.00173753 0.01468565 -0.00765049 -0.0188038 0.19155498 -0.01758401 0.08712472 0.00029725] [-0.20251174 -0.10621755 -0.11715044 0.02193849 -0.01496065 -0.02872594 0.16726659 0.12307914 0.01142086 -0.00822517 0.04718915 0.00331725 -0.00160055 0.12321125 0.02520424 -0.06197478 -0.00552728 -0.11672055 -0.03046839 0.03481545 0.02184905 -0.07963295 0.01995391 0.00190333 0.00139172 0.01145986 -0.20003375 -0.0223223 0.1302299 -0.19700529 0.21654302 -0.10394417 -0.01605283 -0.07808022 -0.12089351 -0.04789673 -0.00938825 -0.179942 -0.0036269 0.15072827 -0.02682894 -0.0002191 -0.00407538 -0.01203761 -0.09251944 0.01237269 -0.16568832 0.00066785 -0.00195658 0.01745536 0.00816308 0.00956396 -0.01046969 0.00464598 -0.01342625 0.01097812 -0.15927298 -0.01522558 -0.0043768 -0.0026035 0.06005601 -0.00211253 -0.19108166 -0.01388045 -0.1292258 0.01138592 -0.01018675 0.03084918 0.00377188 -0.06847399 -0.01950507 -0.07286448 0.01230609 0.01301664 -0.00251893 -0.00258396 -0.16183439 0.06775834 -0.00640773 -0.00047546 -0.02742548 -0.00359406 -0.03182707 -0.15184484 -0.08850669 -0.14918672 0.10508902 0.00972138 -0.01652667 -0.18846902 0.16565457 0.13065858 0.01955256 0.0052026 -0.00850967 -0.06902672 0.17315264 0.06742592 -0.00691827 0.1003838 -0.20773032 0.14000891 -0.12846579 0.06950284 -0.00345233 -0.01901917 -0.12035191 0.00380005 -0.01958951 0.08564199 0.04863454 -0.19197942 -0.02331149 0.08469386 0.07804767 -0.20129445 0.08616333 0.01424801 0.16426286 -0.03080368 0.01007113 -0.11720105 0.01364515 -0.01995475 -0.00808893 0.02882209 0.0306533 0.00239818] Cos Similarity tf.Tensor(0.4660027, shape=(), dtype=float32) (128,) (128,) [-0.0501026 0.04051415 0.04285726 0.04007686 -0.00466762 0.05112075 0.11303367 -0.11505321 0.03586733 0.01321541 -0.1317779 0.07989053 0.06669605 -0.12805022 -0.03545951 0.0575622 0.052303 0.00382704 0.13758704 0.08408608 -0.00149198 -0.18359731 -0.11406454 -0.06263356 0.07025746 0.0017457 0.15615493 0.00511226 0.10873659 0.23077644 -0.20182589 0.15548614 0.05661535 0.08057706 0.16807601 0.01080089 0.0637055 -0.10233465 -0.05029369 0.10150167 -0.035799 -0.01066154 0.01232007 -0.03432707 -0.2063653 -0.11975079 -0.09047068 0.04798613 0.04265768 0.01385275 0.03031977 0.00866929 0.06155116 0.02120996 0.10440163 0.0267647 0.02064948 0.02195011 0.03385186 0.04429429 -0.09410197 -0.17154886 -0.01977831 0.02456011 -0.16795866 0.02688972 0.00279264 -0.01158023 0.03089466 0.12372242 -0.06712051 0.20149848 0.01970843 0.04403986 0.01586029 0.08310737 0.04001139 -0.00303575 0.00454427 0.00530236 0.06556619 0.00315101 0.01579234 -0.18979856 -0.2207127 0.05455161 -0.0396817 0.02057718 0.03150258 -0.04914352 0.21400796 0.13861586 0.04776485 -0.00533483 -0.00437307 0.00177493 0.05551919 0.05413276 0.03131793 -0.13676879 0.2143591 -0.0037826 -0.00361262 0.09891559 0.03683956 0.00102302 -0.02198463 0.02844113 0.08845998 -0.18212391 0.07177645 -0.18743747 0.03922124 -0.04128409 -0.03787905 0.0265399 0.03645864 0.04321855 -0.03686193 -0.01153097 0.02695989 0.09126068 0.05974207 -0.00133707 -0.09480525 0.09564807 0.06189712 -0.00265043] [-0.14917725 -0.04858405 0.11616451 -0.08531134 0.01460301 0.02777565 0.05967466 -0.13893056 0.04738658 0.02616105 0.06851745 0.06923968 0.07208584 -0.1543065 0.10599172 -0.0614695 0.06623373 0.16388898 0.09038148 0.03220875 -0.04151836 0.05426714 0.12929296 -0.163894 0.04897109 -0.00435941 0.11981945 0.00745181 -0.00106112 -0.16030398 0.06319278 -0.06919608 -0.0554163 0.05401183 -0.1756765 0.00933473 0.0736777 -0.13133572 -0.07681859 0.1316425 0.12760668 0.01464652 0.00979229 0.03576687 -0.20967469 0.10005692 -0.0785986 0.03758425 0.04709392 0.01904631 0.03575356 0.00688494 0.07059982 0.01699763 0.09256498 0.04086816 0.14285553 0.00902313 0.02365232 0.07679704 0.01339176 -0.10551479 -0.09754315 0.07232162 -0.10816559 -0.04016782 0.00712328 0.03641565 0.04164225 0.23075679 -0.09779285 0.02883291 0.00042712 0.03756307 0.015539 0.02851572 -0.16472752 0.02291747 0.00082136 -0.03761158 0.0525256 -0.01033873 0.0003933 0.14089517 0.11734188 -0.10792985 -0.03470588 0.02108697 0.0403144 -0.08055837 -0.21918702 -0.10315358 0.03426379 0.04258104 0.03853636 0.15208769 0.0162995 -0.09828834 0.034466 0.17171717 0.08104251 -0.0924877 0.13247202 -0.17282405 0.05092074 -0.06441006 0.15560558 0.01269292 0.08373332 0.03998141 -0.1209008 0.12413748 0.00189518 -0.00535501 0.04627401 0.01468929 -0.14319631 0.02662771 0.00413309 0.09477184 0.04283134 -0.14925584 0.07540095 0.01865182 -0.05893273 -0.05804164 -0.03181222 0.01799625] Cos Similarity tf.Tensor(-0.025872644, shape=(), dtype=float32) (128,) (128,) [ 5.67824021e-02 -2.03004200e-03 6.70133829e-02 -1.45016789e-01 -1.39541022e-04 -5.63238338e-02 9.29283202e-02 -1.77617729e-01 -3.43042379e-03 1.58435560e-03 1.94801651e-02 -2.26922724e-02 2.04653628e-02 1.54779464e-01 1.37832845e-02 1.35162929e-02 1.83064886e-03 1.78748071e-01 5.72200380e-02 -1.01787671e-01 -1.12547632e-02 1.67856500e-01 1.88773334e-01 1.79831833e-01 -1.12967389e-02 -1.66532851e-03 5.01685552e-02 1.83308665e-02 -1.57526806e-02 -1.50729716e-01 -1.75697938e-01 -1.39396444e-01 5.34040108e-03 1.35026434e-02 -2.62779444e-02 -1.02545423e-02 9.62867867e-03 1.59166545e-01 -2.69209128e-02 3.19554172e-02 -1.02802357e-02 -2.76644016e-03 -2.07560020e-04 -1.04010077e-02 1.41561866e-01 -1.98886499e-01 1.16837891e-02 1.11063728e-02 1.30764032e-02 1.81330200e-02 -1.08561164e-03 -5.21658978e-04 -1.95616638e-04 8.46217107e-03 -8.59064632e-04 4.28457465e-03 -7.18439370e-02 2.12211022e-03 2.58893170e-03 8.21220037e-03 1.51097223e-01 1.24769390e-01 1.31233826e-01 9.62753221e-03 -1.32911026e-01 3.42236161e-02 5.84733998e-03 1.45570189e-01 -5.00171154e-04 1.75115481e-01 1.88879564e-01 9.71074328e-02 -5.04459580e-03 2.26878896e-02 -2.90174386e-04 1.05000054e-02 1.67009324e-01 9.69233587e-02 -5.37840789e-03 6.18905015e-02 -1.92724075e-02 -1.18878600e-03 4.16365033e-03 8.48155692e-02 -5.65096028e-02 8.73249024e-02 -1.33032799e-01 5.87753626e-03 -1.82022841e-03 6.38042539e-02 -1.48422182e-01 9.30908546e-02 1.29142718e-03 1.16337715e-02 7.61531154e-03 -1.69353366e-01 8.83653164e-02 4.91688140e-02 6.41101459e-03 1.91391900e-01 -9.39080715e-02 7.55174309e-02 1.13613494e-01 -2.19251728e-03 -9.56435595e-03 -5.70599828e-03 -6.54628575e-02 1.68082993e-02 -2.04977556e-03 4.00292464e-02 -1.86498172e-03 1.92015976e-01 -6.20721886e-03 -5.59384264e-02 -3.08899656e-02 -1.30213216e-01 1.60705104e-01 -7.36890081e-03 -1.32749513e-01 4.96651465e-03 -2.00983863e-02 1.98138192e-01 1.94326392e-03 -1.30091161e-02 -1.83839649e-01 6.27979711e-02 -1.31189048e-01 3.67985875e-03] [ 7.21997023e-02 1.37933195e-01 9.74569097e-02 1.41428262e-02 -4.36678389e-03 -1.77113004e-02 4.83586565e-02 -1.78473264e-01 -3.41752614e-03 2.16771616e-03 1.40721083e-01 -2.88231112e-02 2.11355928e-02 1.68462276e-01 -1.45000666e-02 2.68120635e-02 2.34797364e-03 1.72833502e-01 -5.81186749e-02 -9.29253250e-02 -8.50334316e-02 5.49626835e-02 1.84885502e-01 1.79533720e-01 7.18651645e-05 -2.51711608e-04 1.39235705e-01 2.02722587e-02 -1.90683678e-02 -1.78400725e-01 -1.73342317e-01 -1.91632181e-01 9.68726166e-03 1.25093963e-02 3.47733684e-03 -1.15735205e-02 1.33145610e-02 8.57473165e-02 -2.66180988e-02 2.00824589e-02 -8.49726275e-02 -1.94063270e-03 3.04172304e-03 -1.18788891e-02 2.00138494e-01 -1.57422528e-01 4.42504250e-02 1.45873949e-02 1.59157310e-02 1.65005401e-02 -8.98902712e-04 -1.89468300e-03 2.78150686e-03 1.02477623e-02 8.21006019e-04 6.30907994e-03 -1.51906699e-01 4.28571412e-03 2.10197689e-03 6.19481923e-03 1.87528282e-01 1.47680655e-01 1.63032711e-01 9.06914100e-03 -8.86539221e-02 2.06547044e-02 7.07147177e-03 1.37772784e-01 -1.47930405e-03 1.87674507e-01 1.52342573e-01 3.77517566e-02 -7.08985468e-03 2.22783685e-02 3.38000897e-03 1.01827579e-02 1.66198045e-01 9.32976678e-02 -3.12433694e-03 -4.42919508e-02 -2.08022054e-02 1.16064644e-03 8.54188402e-04 6.00154921e-02 -4.50800881e-02 1.22638963e-01 -1.24941163e-01 5.31450799e-03 6.52610441e-04 1.20776311e-01 -1.51021391e-01 -1.15198195e-01 -6.76079071e-05 1.30761163e-02 8.82649422e-03 -1.64859891e-01 8.41852650e-02 4.68466990e-02 7.41877826e-03 2.01769859e-01 1.25476625e-03 5.19045591e-02 1.00260541e-01 -2.64723739e-03 -6.93439413e-03 2.46952148e-03 4.33335174e-03 1.39867412e-02 -2.49463390e-03 1.08825453e-01 -1.27214752e-02 7.68968314e-02 -2.09363154e-03 -1.03151146e-02 -2.52003111e-02 -1.22758240e-01 1.27046227e-01 -8.02008342e-03 -7.78373927e-02 2.41180602e-03 -2.01941598e-02 1.98694676e-01 2.27061566e-03 -1.84367727e-02 -1.85953707e-01 7.00547621e-02 -1.14743412e-01 2.65108101e-04] Cos Similarity tf.Tensor(0.87838244, shape=(), dtype=float32) (128,) (128,) [-0.18395804 -0.07739711 0.05668933 0.03798454 0.00289441 0.02586799 0.10721068 0.08856487 -0.01214058 -0.01158347 -0.03684719 0.01589312 -0.01693103 0.16543685 -0.00074493 -0.13000378 -0.02503082 -0.02907646 -0.01078444 0.06774585 -0.07949182 0.02523569 0.087552 -0.05442876 -0.01742045 0.0077567 0.07994102 -0.01377345 0.13446513 0.06369399 -0.22795987 0.2341652 -0.00847158 0.00868653 0.11693778 0.00688024 0.00212539 -0.07111792 0.00070896 0.03836609 0.06282426 -0.02137138 -0.00375529 -0.00964881 0.04541313 0.04440961 0.10393336 -0.00944927 0.00077495 0.02403235 0.01337504 0.00460411 0.00085719 0.00518847 0.01925135 -0.00055628 -0.05276144 -0.01676205 0.00069589 0.01314884 -0.11190746 -0.19905645 0.18581548 0.00533395 0.17157376 -0.19901617 0.00561083 -0.14074863 -0.0022847 0.21020253 0.10135779 0.0759863 0.00190641 0.00328819 0.01910499 0.00562667 -0.21553722 0.18257952 0.00441361 0.15635297 -0.0072936 0.0031971 0.00588916 0.06655516 -0.08034255 0.20889512 -0.07008135 0.01100253 -0.01196251 -0.05564519 -0.03364712 -0.08673438 -0.00790091 0.00113965 -0.00313501 -0.00025705 0.10995283 -0.09470428 -0.00176212 -0.08937515 0.0103764 -0.18609019 0.11467537 0.08320487 -0.00563672 0.00264354 0.09801141 0.01316538 0.00439764 0.1107282 0.00318532 0.09280939 0.00421595 -0.13817798 -0.01171876 0.15097617 -0.15747112 -0.00489157 -0.2173417 0.00555969 0.01202695 0.02722358 0.03083235 -0.01276525 -0.20241705 0.02110191 0.02977367 -0.00410391] [ 0.04186128 -0.01684637 0.08232112 0.0036865 0.01542632 -0.00173735 0.14572647 -0.03474473 -0.02491449 0.00896319 -0.09769437 0.05958669 0.00322156 -0.09709292 0.02514829 0.10844837 0.03937303 -0.02784944 0.0831323 -0.01999731 -0.05237219 0.1554004 -0.03841271 0.05078848 0.02653807 0.02825266 -0.21840616 0.01306839 0.18982336 -0.04534894 0.05711997 0.18389149 -0.05703279 0.03426927 0.20251092 0.02987066 0.02897499 -0.13045397 -0.0443622 0.11360808 0.09195115 0.00978313 0.03297614 -0.00674221 -0.05479566 -0.17171122 0.01172191 0.03375729 0.04749826 0.05595803 0.03327812 -0.00171131 0.06861703 0.03114731 0.09871659 0.05373359 -0.16486204 -0.01462213 0.0599914 0.05489477 -0.13011895 -0.12355902 0.09505273 0.06253877 0.16398166 -0.20078358 0.02498776 -0.00892989 0.02612562 0.00544506 0.12731054 0.04263804 0.01853089 0.00564511 0.03026438 0.0517858 -0.11602193 0.14509425 0.00409995 -0.04993948 0.03423045 -0.00256695 0.00130555 0.04920794 -0.00913628 0.12786198 -0.05457769 0.04424869 0.02520894 -0.20603813 -0.07301641 -0.04371121 0.03996991 0.03264771 0.01653618 -0.12303971 -0.05214646 -0.23302074 0.03026939 0.11393678 0.12978396 -0.17235063 0.16152711 -0.10889581 0.03589205 0.02112887 -0.00518521 0.03548486 0.06091022 0.0726357 -0.21126807 0.10637196 0.05753284 -0.16989559 -0.01637157 -0.07503772 -0.12547874 0.00512129 -0.09809893 0.03535453 0.01646698 0.05015063 0.09546299 0.0192155 -0.07096501 0.11926737 -0.02393987 0.00766047] Cos Similarity tf.Tensor(0.44896615, shape=(), dtype=float32) (128,) (128,) [-1.16625674e-01 -1.09974220e-02 -1.21384695e-01 3.52564864e-02 -1.37661658e-02 6.45546662e-03 2.75340378e-02 1.59534812e-01 -3.93607002e-03 -2.32520867e-02 -7.23966956e-02 -1.02918157e-02 -1.80604514e-02 1.28455451e-02 1.42274156e-01 -2.04363808e-01 -2.89163385e-02 -2.53757555e-02 -2.95014158e-02 7.37707540e-02 9.89213064e-02 4.62681316e-02 -1.96822435e-02 1.41906574e-01 -3.18172798e-02 9.08377580e-03 -1.26109332e-01 -2.85332967e-02 5.77159179e-03 -1.18369192e-01 -2.75032818e-01 1.35807663e-01 -9.34884138e-03 -3.73122245e-02 -1.18536599e-01 -2.72076484e-02 -1.23511180e-02 4.98288535e-02 -1.44858717e-03 -2.43627533e-01 1.76740929e-01 -5.80164092e-03 -1.39000388e-02 -8.90954584e-03 -6.04495406e-02 2.05699340e-01 2.00928599e-01 -1.41245686e-02 -7.27227284e-03 3.94784659e-03 1.17336893e-02 7.89198186e-03 -2.02855580e-02 4.11815010e-03 -1.64818894e-02 1.03704138e-02 -1.37255430e-01 -7.19529530e-03 -9.14028008e-03 -1.62696280e-02 -1.98293224e-01 -1.58647314e-01 -1.44987181e-01 -2.15066504e-02 2.52928156e-02 -1.39002444e-03 -1.09865479e-02 -2.32044265e-01 -3.74384644e-03 3.35088605e-03 1.61884815e-01 -3.53118777e-02 4.77188034e-03 -3.52139701e-03 -1.16283419e-02 1.54211558e-02 -1.21973094e-03 1.12200687e-02 -2.07078647e-05 5.88209592e-02 -1.74782686e-02 -1.40534207e-01 -1.15060536e-02 -4.60628979e-02 1.68479476e-02 6.94461465e-02 4.48827371e-02 1.08326534e-02 -2.52391640e-02 -6.73196539e-02 1.24151343e-02 9.67317354e-03 -2.90319901e-02 8.97229370e-03 -1.48677239e-02 1.23677291e-01 -9.69682448e-03 -7.96825215e-02 -1.81776583e-02 -2.81134937e-02 -1.77593872e-01 -1.58618167e-01 -4.25549969e-02 -1.38741247e-02 -2.49393266e-02 -1.45970965e-02 -2.47554947e-02 1.39847891e-02 -3.02981120e-02 7.82907605e-02 9.11728144e-02 -1.36837363e-01 -1.26498928e-02 -9.27659869e-03 6.12855554e-02 -2.73454994e-01 -1.86954532e-02 -1.24770794e-02 1.56323597e-01 -4.03502621e-02 1.71806931e-03 1.53534248e-01 1.19945379e-02 -9.39217769e-03 1.85538575e-01 3.74134742e-02 4.43209521e-02 -1.45249777e-02] [-1.28256649e-01 3.72728892e-03 -1.96340568e-02 1.75260022e-01 -2.47039529e-03 3.34182419e-02 -4.12807614e-02 1.52031317e-01 -5.12809027e-03 1.06369343e-03 -8.35444480e-02 -8.87131132e-03 1.21722994e-02 -4.68252674e-02 9.95374247e-02 2.13280786e-02 -3.94792622e-03 2.18449458e-02 -1.37598231e-01 5.26654795e-02 1.72920689e-01 -7.66228884e-02 -3.03214826e-02 1.13010138e-01 -1.78081321e-03 -1.86488696e-03 6.65051714e-02 -2.07226928e-02 -9.66298953e-02 -1.56823799e-01 -1.81526080e-01 1.01171769e-01 -1.34427845e-02 -1.41230319e-02 -1.30081296e-01 6.20502606e-03 -7.43414275e-03 1.15227140e-01 1.44918375e-02 -1.24410160e-01 2.00296581e-01 9.28440131e-03 -7.34322093e-05 -1.11194048e-02 5.74979410e-02 1.74600244e-01 8.32189023e-02 -1.31583801e-02 2.87383585e-03 1.04314266e-02 7.43617211e-03 9.05856304e-03 -2.56167967e-02 2.06913589e-03 -2.03771126e-02 1.36781409e-02 -1.19439267e-01 -8.10510200e-03 -4.28421004e-03 1.65405369e-03 8.54820013e-02 -4.10918240e-03 -1.23563454e-01 -8.99887364e-03 -1.24185562e-01 9.46184769e-02 -2.00812072e-02 2.01651469e-01 2.74847308e-03 1.10496111e-01 -2.47663329e-03 4.59121652e-02 -3.74855008e-04 -3.52411065e-04 2.09222781e-03 -7.15535088e-03 -1.75878391e-01 -1.55120373e-01 9.56867705e-04 -3.66503075e-02 -2.58425754e-02 -9.18101985e-03 -8.99620261e-03 1.60035983e-01 -6.23170473e-03 1.84015676e-01 -1.51444882e-01 -1.66369358e-03 -1.53472656e-02 1.38551101e-01 -1.68385863e-01 1.98606104e-01 -1.93027165e-02 3.73356859e-03 5.22103906e-03 9.30549726e-02 -6.33706572e-04 1.69802368e-01 -4.11722390e-03 1.08328782e-01 -1.68170128e-02 1.33767128e-01 1.32492229e-01 5.82432561e-02 -8.22731014e-03 -2.24438813e-02 -1.88500345e-01 -3.30456789e-03 -2.30450332e-02 -2.13790853e-02 8.89076293e-02 3.18181375e-03 -6.42428827e-03 5.72824366e-02 3.30995768e-02 -2.35900268e-01 -1.97356761e-01 1.19265895e-02 1.30440533e-01 -2.34437697e-02 -4.65307757e-03 1.41403839e-01 -4.91005648e-03 -1.91434622e-02 -5.47092669e-02 5.09990640e-02 6.00474291e-02 -1.15191927e-02] Cos Similarity tf.Tensor(0.35582906, shape=(), dtype=float32) (128,) (128,) [ 2.08460569e-01 2.42547337e-02 -7.30363652e-02 -1.81382764e-02 -3.82556953e-02 -8.85435473e-03 -1.41770899e-01 -6.23213910e-02 4.22747806e-03 -8.15689471e-03 -2.92040676e-01 -6.97805919e-03 -4.03393246e-03 -1.96921915e-01 1.12637170e-01 -1.03166841e-01 -1.05473949e-02 -1.53952733e-01 5.87934367e-02 -1.70805991e-01 3.94247547e-02 -1.01387143e-01 1.18377870e-02 6.21823501e-03 5.36166411e-03 6.86661014e-03 3.38404551e-02 -2.83371061e-02 3.45400721e-02 1.68505207e-01 1.22609466e-01 -6.27787039e-02 1.19645987e-02 -2.49357987e-02 -1.35419250e-01 -1.78738981e-02 4.65437956e-03 -6.25436455e-02 -6.01514103e-03 -2.05924019e-01 -1.18603580e-01 5.55169163e-03 -1.88706331e-02 2.07303390e-02 -2.66488213e-02 5.42878471e-02 -1.77510574e-01 -4.23765322e-03 1.31612616e-02 1.99689646e-03 4.17248486e-03 2.81717465e-03 -1.27339568e-02 8.63710884e-03 -5.79937128e-03 1.17671825e-02 -7.03753829e-02 1.40825249e-02 1.80401359e-04 -1.04270522e-02 -8.94588325e-03 1.82687461e-01 1.32976517e-01 -2.83715148e-02 7.42957508e-03 -7.23905535e-03 -2.35789083e-02 -7.33358692e-03 -2.47886423e-02 -2.43296981e-01 8.91252831e-02 -1.70274124e-01 2.83084228e-03 -1.84918975e-03 -1.04709854e-02 1.50841782e-02 4.40581283e-03 1.08122416e-02 -3.42115806e-03 -7.18594044e-02 -1.52017428e-02 2.55977712e-03 -9.13305860e-03 -1.80555865e-01 4.82285880e-02 7.98491314e-02 3.56828328e-03 8.95937346e-03 -1.02722421e-02 -1.06791191e-01 1.20159355e-03 -1.85798332e-02 -3.70381773e-03 6.75501814e-03 -1.87782366e-02 1.10229723e-01 -2.31571063e-01 -2.46645316e-01 -1.28428126e-02 -1.28064901e-01 1.09541923e-01 8.11135210e-03 -1.02526195e-01 7.83451796e-02 6.12053601e-03 -2.72253179e-04 3.05460151e-02 1.30887423e-02 -2.36861669e-02 4.04188223e-02 -2.34525532e-01 1.79191977e-01 -5.32250805e-03 7.58437254e-03 9.90643352e-03 1.59709573e-01 8.91988259e-03 -8.73747375e-03 5.67391142e-02 -1.88139193e-02 6.99215161e-04 5.92763647e-02 1.33769428e-02 6.73064310e-03 1.46976203e-01 2.54230238e-02 9.64063108e-02 -1.88054964e-02] [ 0.2149393 0.02821015 0.00960742 -0.02385695 -0.02303504 -0.0441991 -0.13633595 -0.16851617 0.00527941 0.0098967 -0.27775872 0.00285856 0.02335165 -0.17617458 0.10202747 -0.08134321 0.01029936 -0.13524394 0.03298026 -0.03469406 0.02213164 -0.05199021 0.0096831 0.00610353 0.01469411 0.0207594 0.08590599 -0.02681177 0.05512559 0.14512837 0.16621724 -0.05869437 0.02014014 0.00055531 -0.12057727 0.00591788 0.01683895 -0.05520465 -0.01827524 -0.22538146 -0.14177848 -0.00072584 -0.01515986 0.03715879 -0.00582909 0.04934764 -0.00789859 0.00419521 0.022071 -0.00376138 0.00832351 0.00195837 0.00825743 0.01374276 0.015668 0.02593007 -0.04788448 0.003129 0.01326049 -0.00440732 -0.03588615 0.17058744 0.14489129 -0.02919213 -0.08380845 0.07078416 -0.02452057 -0.02037022 -0.00392778 -0.24371308 0.06219259 -0.16058701 -0.00485864 0.00706282 0.00336058 0.03140873 0.08047307 -0.16407073 -0.01271332 -0.01759319 -0.00538072 0.00316816 0.00460299 -0.17987636 0.04897366 0.0584042 -0.04554484 0.01974194 -0.00240624 -0.08451124 0.02190358 -0.01295806 0.01409179 0.0198466 -0.00286152 0.08528899 -0.20816916 -0.25397354 -0.00937985 -0.2657543 0.04771214 -0.06730299 -0.13397482 0.05849343 0.01488475 -0.01229811 0.04732084 0.00942629 -0.00643252 0.01864721 -0.21412991 0.19717938 0.00538421 -0.01001461 -0.07999191 0.16965736 0.08906608 -0.00997903 0.04124295 -0.01154549 0.00230274 0.00066361 0.01482147 0.01952402 0.05104763 0.01219301 0.04520954 -0.01784301] Cos Similarity tf.Tensor(0.8944417, shape=(), dtype=float32) (128,) (128,) [-1.18427590e-01 1.56073868e-02 -1.14066750e-01 1.47222355e-01 -6.92610629e-03 7.63191879e-02 2.09657893e-01 -1.49914026e-01 6.57123746e-03 3.26633360e-03 1.17378451e-01 -2.57822368e-02 -4.62386990e-03 -1.29674494e-01 -3.82650644e-02 -2.07733866e-02 -1.03569892e-03 -2.15415284e-02 2.06670687e-01 3.03393286e-02 1.28102511e-01 6.32277578e-02 -3.50613780e-02 -8.83369893e-02 1.24880150e-02 9.66627209e-04 1.14716776e-01 2.42436919e-02 4.23155352e-02 -4.85763662e-02 -1.26164123e-01 -2.09068641e-01 2.99721770e-03 -1.40836807e-02 -1.35615026e-03 -1.13862092e-02 1.58067066e-02 -3.83925922e-02 5.22024138e-03 7.45663494e-02 1.13851272e-01 -2.66554439e-03 -3.03900405e-03 -2.91077211e-03 1.87699627e-02 -1.60682529e-01 -1.50056124e-01 -2.23408211e-02 8.56737141e-03 -7.74308864e-04 1.01941952e-03 -1.23275525e-03 -2.40421090e-02 3.69614642e-03 -1.42207947e-02 -9.16033227e-04 -2.15600863e-01 -4.07479331e-03 -8.50169826e-03 -6.31501526e-03 -1.89527020e-01 -2.19468568e-02 1.82206199e-01 1.16018628e-05 8.27437863e-02 1.44762933e-01 -1.70458872e-02 -1.10799193e-01 -9.88916773e-03 5.04088141e-02 -5.50198853e-02 -1.50846094e-01 3.14913178e-03 -7.35808350e-03 -3.39736789e-03 9.74522624e-03 3.18930261e-02 7.03502670e-02 -2.07393430e-03 -1.33684337e-01 9.65313986e-04 3.74743529e-02 4.85906284e-03 7.44310468e-02 1.86229587e-01 7.93008730e-02 5.72640337e-02 1.44978135e-03 -7.21983053e-03 7.43477568e-02 1.57848865e-01 -1.79178655e-01 -3.53277028e-02 8.99116322e-03 -1.21118920e-02 1.61931649e-01 -1.18157744e-01 4.65938188e-02 1.28578618e-02 9.18743312e-02 -2.07115710e-01 1.77354142e-01 1.02581367e-01 2.09184200e-01 -2.92649423e-03 1.20279454e-02 1.26408279e-01 1.15434472e-02 -5.64417243e-03 1.53293416e-01 -5.75170331e-02 -1.22164367e-02 8.24105984e-04 -6.26286045e-02 5.26405908e-02 1.89719163e-02 5.22308573e-02 1.90008506e-02 4.60033026e-03 -4.54188045e-03 -3.02559987e-04 -1.52838781e-01 1.94549952e-02 -3.09824315e-03 1.23526901e-01 1.38020758e-02 1.64337173e-01 -6.93623163e-03] [-1.51450053e-01 1.13518788e-02 -1.20538019e-01 1.59499764e-01 -2.41809506e-02 9.54134986e-02 2.21316576e-01 -2.24497944e-01 5.83903817e-03 2.71067815e-03 1.91752538e-01 -2.33989842e-02 1.81415938e-02 -5.91025762e-02 -7.76391057e-03 -6.07295781e-02 -5.15310210e-04 -1.90860704e-02 2.30260670e-01 4.64024916e-02 1.44266307e-01 -1.52376890e-02 -2.59924009e-02 -5.68558834e-02 -6.95612049e-03 3.64808156e-03 1.47406399e-01 8.14734492e-03 4.31711487e-02 -5.74504584e-02 -1.05183214e-01 -1.68782026e-01 4.88437619e-03 -8.42942018e-03 2.00912300e-02 -2.62248539e-03 1.92970957e-03 -3.81128490e-02 6.94547407e-03 3.47955152e-02 1.45280421e-01 1.77285619e-04 -4.67449473e-03 -1.27181632e-03 9.97465570e-03 -1.70938626e-01 -1.65393189e-01 -9.10119154e-03 1.44530432e-02 -2.25037802e-03 1.68278359e-03 1.97759713e-03 -2.82642581e-02 5.63713256e-03 -2.03413963e-02 -3.81976203e-03 -2.04382643e-01 1.53621484e-03 -2.71377922e-03 -1.57363079e-02 -1.52370259e-01 -9.99401063e-02 1.94950804e-01 -3.92480288e-03 8.80300626e-02 1.28040150e-01 -2.31204983e-02 -9.08631086e-02 -2.04201546e-02 1.02816299e-01 -1.11289263e-01 -1.01657316e-01 -4.87215351e-03 -6.22892193e-03 -8.26375466e-03 7.24399788e-03 2.81583425e-02 6.35028780e-02 -4.06534644e-03 -1.02281094e-01 -7.84032792e-03 3.35475430e-02 4.01428442e-05 4.42500189e-02 1.84491009e-01 1.44138500e-01 -2.92769424e-03 -2.36711022e-03 -3.80092906e-03 8.65411460e-02 1.65858805e-01 -1.20645948e-01 -1.91803295e-02 6.36137044e-03 -1.44506134e-02 8.29349011e-02 -9.96316448e-02 -2.98410319e-02 1.06229642e-02 2.05356162e-02 -2.11387485e-01 1.94553241e-01 5.43868914e-02 2.08148494e-01 -5.12254471e-03 -1.05042206e-02 1.18480727e-01 6.11969642e-03 -1.60942122e-03 1.52449578e-01 -7.52222538e-02 5.64357918e-03 -7.73026654e-03 -7.51897767e-02 4.52056676e-02 -5.69193885e-02 6.74726516e-02 6.65891590e-03 -3.96380350e-02 -2.41353866e-02 -1.94143341e-03 -5.20827509e-02 1.55345704e-02 -9.19711869e-03 1.06571488e-01 4.97871358e-03 1.65078744e-01 -1.25580532e-02] Cos Similarity tf.Tensor(0.94535553, shape=(), dtype=float32) (128,) (128,) [-0.16946517 0.17678508 0.00564453 -0.03912359 0.0107924 -0.00280427 -0.15404068 0.09913168 -0.00720118 -0.00258605 -0.23324515 0.00589875 0.00563103 0.17444721 -0.03203121 -0.00220189 0.00777986 0.15970019 -0.033802 -0.08438572 -0.03302772 0.02452121 0.03563088 0.0070392 -0.00679065 0.00036041 0.1616498 -0.00134362 -0.06298765 -0.08932402 -0.21626028 0.21578358 0.01223365 -0.03339194 -0.1110679 -0.00786692 0.00602155 -0.10982058 -0.00964386 -0.12061787 0.19606937 -0.0009986 0.00116907 -0.01915766 0.14056657 -0.06442666 0.00653314 0.00419651 0.01290298 0.02724739 0.00820637 0.00458999 -0.00335865 0.00518088 -0.01070342 0.02072602 -0.02705975 0.0026961 -0.01461632 0.00741903 -0.13594773 -0.0609119 -0.01590552 -0.01381076 0.03411674 0.07362659 -0.00835664 -0.00891971 0.00874237 0.18424249 0.17773129 -0.05946243 -0.00153705 0.00930665 0.00613392 0.01443127 -0.06557859 0.1480986 0.0053114 0.04655185 -0.01607227 0.00191262 -0.00487722 0.06821836 0.01426993 -0.07213935 0.08098034 -0.00166694 -0.00635054 0.16143419 -0.16224954 0.18672287 -0.00726215 0.01595573 0.01113822 0.18436249 0.12478122 -0.19008876 0.00133853 0.19386704 0.11814758 -0.11756836 -0.02515618 0.14029962 0.00810728 -0.02035308 -0.16823648 0.00208558 -0.00982618 0.0194787 0.00683835 0.108288 0.00727707 0.00466563 0.0959553 0.1336325 -0.02108477 0.00789846 0.01855531 0.02118924 0.00835318 -0.11325405 0.00079396 -0.02659252 0.20181641 -0.03154746 0.12897104 -0.00037059] [-1.86508581e-01 1.82528615e-01 1.02653299e-02 3.25254500e-02 1.29094105e-02 -1.11195296e-01 6.04395680e-02 8.53794217e-02 1.92140555e-03 5.82524901e-03 -1.99146479e-01 1.29584095e-03 4.18636249e-03 1.51343629e-01 5.63067943e-02 -7.34254252e-03 2.35500117e-03 -2.56234221e-02 6.56736316e-03 -2.14520190e-02 -1.15261979e-01 2.41435282e-02 4.92643602e-02 5.68374619e-02 7.94747192e-03 1.93806423e-03 6.68525398e-02 -1.38488794e-02 1.13704361e-01 -3.19201238e-02 -2.02942386e-01 2.44785443e-01 9.87491384e-03 -1.09474035e-02 2.91461740e-02 -4.68619604e-04 1.52129158e-02 -1.07476627e-02 -4.53879358e-03 -1.48982272e-01 5.21637425e-02 4.07472806e-04 2.85792188e-03 -2.85275634e-02 1.47478297e-01 5.48698865e-02 -1.17627410e-02 3.93407856e-04 7.78046204e-03 1.87660307e-02 9.32690501e-03 4.85213567e-03 -1.29637867e-02 6.04461180e-03 -1.31412977e-02 1.43725155e-02 -7.03315213e-02 -3.63667449e-03 -1.84446983e-02 2.62187864e-03 4.46622595e-02 -1.54355630e-01 -4.66754660e-02 1.70591753e-02 -1.55464038e-01 9.76499319e-02 -3.82755324e-03 -1.55835733e-01 2.75508524e-03 4.66845185e-02 1.79445773e-01 7.14895874e-02 -2.22353901e-06 8.58119596e-03 1.33011444e-02 9.23036411e-03 -7.07056075e-02 8.09365585e-02 7.81630259e-03 7.37270992e-03 -1.90429091e-02 -3.92147149e-06 -3.20106489e-03 5.27272187e-02 -1.52820438e-01 2.36228943e-01 2.25036606e-01 2.51814281e-03 -6.56077359e-03 1.73527882e-01 3.56917009e-02 2.39103392e-01 -1.93557912e-03 1.56594701e-02 1.47100044e-02 1.61512762e-01 5.25621511e-03 -2.50114501e-01 -8.26544128e-03 1.75979063e-01 1.77551389e-01 2.55166292e-02 -1.26394078e-01 8.85654017e-02 -1.76893338e-03 -1.75446011e-02 3.69582735e-02 7.63756502e-03 -4.40843723e-04 -1.91095352e-01 4.19968106e-02 -5.67094274e-02 1.44856586e-03 -4.17561829e-02 7.04001635e-02 9.47466195e-02 1.08997636e-01 9.89490189e-03 1.26334608e-01 1.72005296e-02 6.13320759e-03 1.01296268e-01 -7.92248361e-03 -2.37396415e-02 -8.10331181e-02 1.50157167e-02 -4.54661995e-02 -2.52530095e-03] Cos Similarity tf.Tensor(0.5358503, shape=(), dtype=float32) (128,) (128,) [ 1.24391466e-01 1.03143446e-01 -1.26874954e-01 -4.86901216e-02 -2.09972784e-02 6.45688325e-02 1.31072074e-01 -1.17455065e-01 2.28254567e-03 -7.87863880e-03 -1.93309903e-01 -1.61440354e-02 5.60709974e-03 1.57385975e-01 -1.18260104e-02 -1.39596373e-01 -1.14552705e-02 1.40490532e-01 1.39747545e-01 2.91175744e-03 8.33169669e-02 4.81439680e-02 7.27735162e-02 1.35827041e-03 -1.12798493e-02 7.52898073e-03 1.77978933e-01 -1.25900554e-02 1.22639932e-01 8.63067247e-03 -2.04664990e-01 -9.09346342e-03 -7.85521790e-03 -2.15698406e-02 -8.00149590e-02 -1.32502178e-02 -1.60224754e-02 -1.04776882e-01 -2.27560150e-03 -7.40654254e-03 1.40603095e-01 -1.05397813e-02 -5.93793113e-03 -1.40939350e-03 1.53008968e-01 1.04627520e-01 1.20805793e-01 1.69526064e-03 2.04897230e-03 8.55365302e-03 6.57784799e-03 5.62071847e-03 -2.93559022e-02 1.90251193e-03 -1.75670404e-02 8.89590569e-03 -8.41313750e-02 -1.44331099e-03 -4.73836856e-03 -2.28400305e-02 -2.07704213e-02 -2.01734882e-02 1.52233183e-01 8.54206388e-04 -8.19592103e-02 1.54688478e-01 -1.83315966e-02 1.01962671e-01 -1.87529270e-02 5.74367680e-02 2.38408823e-03 -1.84151009e-01 3.84689099e-03 2.78578303e-03 -6.83460757e-03 -2.25640499e-04 2.06530377e-01 1.10506244e-01 1.55071699e-04 1.09690502e-01 -1.93602797e-02 6.47545159e-02 9.10278969e-03 -1.53384283e-01 -1.26149327e-01 -4.12932113e-02 1.24743760e-01 -8.81592336e-04 -9.13989823e-03 1.33695260e-01 5.94987683e-02 -4.97998483e-02 -2.01526526e-02 8.49722791e-03 8.39711458e-04 2.23615378e-01 4.19787429e-02 -1.47977516e-01 -4.36275126e-03 -8.06253105e-02 -7.82564804e-02 1.29612401e-01 1.53480187e-01 1.41119882e-01 -2.15787832e-02 -3.09532206e-03 1.63349405e-01 1.45260217e-02 -7.75719061e-03 -1.45534605e-01 1.72163978e-01 -1.86512604e-01 -1.43900784e-02 -5.91451004e-02 1.83262378e-02 -9.40936580e-02 1.97682008e-01 -1.95490718e-02 -5.50529547e-02 -2.83559337e-02 4.02465276e-03 5.73470667e-02 2.00693216e-03 -5.71156442e-02 -1.40677288e-01 1.89541914e-02 6.16662379e-04 -8.35125521e-03] [ 1.81939434e-02 -8.02054331e-02 2.56754737e-02 7.42892325e-02 -1.39147500e-02 1.76880397e-02 1.36311680e-01 8.97845179e-02 1.20478775e-02 -4.10341099e-03 2.00622007e-01 9.54981707e-03 1.42648080e-02 -9.73928273e-02 8.00185278e-02 1.32678449e-01 7.64579186e-03 1.69657096e-01 -1.33361429e-01 -4.71673571e-02 -1.90765738e-01 1.29375264e-01 -1.90884367e-01 5.56929857e-02 1.76247116e-03 9.89397801e-03 1.34969085e-01 6.92480942e-03 5.84198581e-03 1.65877506e-01 1.53619215e-01 3.08392830e-02 6.10786665e-04 1.54516625e-03 -9.90613177e-02 -6.63841004e-03 -4.93041985e-03 9.92241651e-02 -1.16936937e-02 1.50392070e-01 1.56719908e-01 4.64324607e-03 1.06746862e-02 -7.74549134e-03 1.58155784e-01 -1.16871990e-01 -3.26801799e-02 -1.01795448e-02 1.14010060e-02 -3.65297007e-03 -3.41484719e-03 -1.79999945e-04 -1.08691689e-03 1.28035825e-02 -4.91172948e-04 9.88089852e-03 -3.98586839e-02 7.65326247e-03 -9.20285564e-03 -1.36158578e-02 1.06018797e-01 1.78415075e-01 4.74353097e-02 5.22670220e-04 8.10766071e-02 9.11935419e-02 4.45108721e-03 1.25217631e-01 -7.59978918e-03 1.35495439e-01 1.43921793e-01 -1.71194047e-01 1.62582891e-03 1.05029754e-02 -1.00135598e-02 2.78083701e-03 -1.30301878e-01 -6.47189049e-03 -3.87780764e-03 -6.89745918e-02 2.05287198e-03 -8.14134604e-04 -3.29280924e-03 -1.77730992e-01 2.53906231e-02 -1.78129092e-01 3.81637067e-02 1.02597242e-02 -6.25955407e-03 -5.66910878e-02 -9.88958776e-02 -1.70383319e-01 -1.16445143e-02 -4.05166465e-05 -4.50777449e-03 2.15047970e-01 1.63167156e-02 -1.58039644e-01 3.58588202e-03 -6.71843663e-02 1.86379552e-01 -5.96797988e-02 -1.24226458e-01 1.14436843e-01 -1.35565037e-03 1.39510306e-02 1.46637976e-01 2.12340876e-02 2.83527188e-03 4.21224385e-02 5.06725311e-02 1.60571411e-01 2.45247083e-03 4.96637411e-02 -4.13461216e-02 -2.36865655e-02 1.11705989e-01 -1.25415495e-03 -2.14125231e-01 -1.17075704e-02 -1.27485311e-02 -1.36775106e-01 1.11663332e-02 -5.36949839e-04 1.46160778e-02 -1.20579370e-03 -1.12356879e-01 3.78273637e-03] Cos Similarity tf.Tensor(0.058038168, shape=(), dtype=float32) (128,) (128,) [-0.1531533 0.04101968 -0.05903184 -0.034281 -0.0089895 -0.00740082 0.13840081 0.03110035 0.00076735 -0.00607848 -0.24592444 -0.01357985 -0.00071833 0.13884442 0.00411285 -0.1597216 -0.02933902 0.14714906 0.19872218 -0.00421706 -0.08015845 0.00250534 0.0214796 0.00949775 -0.0109344 -0.00157973 0.09986127 -0.03237622 0.1562907 0.14087842 -0.10947461 0.04239412 -0.0031801 -0.00611529 0.00465296 -0.00900526 0.00244087 -0.08874302 -0.00617274 -0.11160679 0.01156592 -0.00131867 -0.00597661 -0.00182963 0.17119628 0.16599467 0.04362595 -0.01583308 -0.00323092 0.0154255 0.00350331 0.00527113 -0.01241964 0.0051807 -0.0021976 0.00552983 0.08420268 -0.0036928 -0.00217998 -0.01911206 -0.05811251 -0.04241873 0.14792934 0.00243092 -0.1029234 0.06090803 -0.01986177 -0.15201128 -0.01077923 -0.08681887 0.18822178 -0.01501604 -0.00623082 0.00427014 0.00059578 -0.00582081 0.21362236 -0.0086689 0.00042311 0.24734427 -0.02688332 0.00206043 0.00440739 0.08517212 -0.1759427 0.08196447 0.19401984 0.00467986 -0.01822261 0.10445275 0.03558347 0.0990798 -0.01417506 0.0074987 0.00134967 0.22403564 -0.0084503 -0.21176948 -0.02672743 -0.0182458 -0.09650332 0.11912262 0.08981167 0.10857478 -0.01254782 -0.00234047 0.17357896 -0.00485186 -0.01866343 -0.17613584 0.09451725 -0.08892221 -0.01237818 -0.00642509 0.02634372 0.05914908 0.10718786 -0.01110254 0.16120458 -0.01589183 0.00461939 0.11741043 0.00388453 -0.02739043 -0.13787651 0.03893103 0.04501609 -0.00707403] [-8.38426948e-02 5.37903234e-02 -5.70577607e-02 -9.21461210e-02 5.42542373e-04 -6.15252294e-02 4.25537676e-02 1.05791181e-01 3.69445502e-06 -4.52797140e-05 -2.00766325e-01 -4.78410348e-03 1.34198472e-03 -4.47710752e-02 3.40066962e-02 -8.99275765e-02 -2.10933611e-02 1.98148355e-01 1.40938193e-01 -2.79684383e-02 -1.91122890e-01 -1.35224745e-01 1.44417444e-03 5.63411042e-02 1.14363041e-02 -2.19432593e-04 7.59520978e-02 -3.28261331e-02 1.65267199e-01 8.35245475e-02 -1.15177177e-01 1.17906108e-01 6.19168160e-03 -1.20165506e-02 9.12926272e-02 -3.31467623e-03 5.69446385e-03 4.54299909e-04 6.18696120e-03 -1.00328401e-01 -1.67605832e-01 -2.43465835e-03 -2.30729813e-03 4.76298109e-03 1.48393914e-01 2.09280089e-01 2.91279536e-02 -1.64310616e-02 -5.34560299e-03 1.23397140e-02 4.04659100e-03 1.21717844e-02 1.05246087e-03 8.44367500e-03 -7.68798217e-03 1.20440554e-02 -1.71033442e-01 -4.98310896e-03 -7.04711024e-03 -7.32442411e-03 -1.74911264e-02 -1.33196294e-01 1.22547582e-01 3.25415609e-03 -8.08342248e-02 1.56405643e-01 -1.71368159e-02 -1.80986881e-01 -1.69608500e-02 -1.75813198e-01 9.87985805e-02 -3.56170088e-02 -3.24355951e-03 4.73274803e-03 1.15586363e-03 -8.13484099e-03 9.79370773e-02 2.10687034e-02 4.55050409e-04 2.33465612e-01 -2.33876910e-02 1.52764572e-02 -2.91456789e-04 -1.01254024e-01 -1.85082883e-01 9.46709216e-02 7.18362853e-02 7.69950496e-03 -6.03788393e-03 -9.55682830e-04 -4.29173224e-02 1.40656903e-01 -1.29814101e-02 1.02161765e-02 -1.49684527e-03 2.00998068e-01 -5.28428331e-03 -2.11788535e-01 -2.30332185e-02 -7.14273229e-02 3.72330807e-02 6.76951483e-02 8.36028997e-03 1.10689148e-01 4.59156279e-03 -8.82815290e-03 1.73118919e-01 -1.12423869e-02 -8.60394631e-03 -2.12693110e-01 1.46445826e-01 8.99831876e-02 -2.01107422e-03 -2.31745746e-02 6.65195808e-02 6.76904619e-02 1.04018383e-01 -1.31071582e-02 1.67309240e-01 -6.81647332e-03 7.33403862e-03 8.28254670e-02 3.36187426e-03 -1.52530978e-02 -1.42469123e-01 1.77044217e-02 5.75241745e-02 -1.17836362e-02] Cos Similarity tf.Tensor(0.7864404, shape=(), dtype=float32) (128,) (128,) [-0.0995262 0.0192359 -0.12497273 0.09328996 -0.01452984 0.07392929 -0.0141104 -0.20645176 0.00893997 0.00038674 -0.01280414 -0.0058833 -0.00592184 -0.10282701 0.03159753 -0.18546447 -0.0193918 -0.10128138 0.15189703 0.0771824 0.04729224 0.08397637 -0.06779522 0.10544971 0.01936375 0.01091385 -0.1769995 -0.00207226 -0.18178944 0.18689328 0.11915798 -0.13719979 0.01288862 -0.01951678 0.1009096 -0.01529559 -0.00915062 -0.13243863 0.00929475 0.10715277 -0.15541588 0.01389747 -0.00332241 -0.01404718 0.10453703 0.09333546 0.09187907 -0.0174705 -0.00313868 -0.00555204 0.00218998 0.00157381 -0.01168642 0.00636728 -0.01229986 0.00617567 -0.0471159 0.00090453 -0.00982039 -0.00390709 -0.04091807 -0.16122058 -0.00161452 0.00122551 0.19622476 -0.16394415 -0.01542698 0.0378866 -0.01647459 -0.18321052 -0.13672741 0.08035022 0.01220052 0.00438488 -0.01454139 -0.00192203 0.02717859 -0.12847209 0.0015212 -0.11238236 0.00370319 -0.0009142 0.00159411 -0.17665704 0.17371213 -0.05035551 0.15650494 0.00470209 -0.00767326 0.18017225 0.05323835 -0.12648457 0.01029379 0.0090903 0.00375271 -0.01732758 -0.16854367 -0.18581879 -0.00430506 0.05566496 0.11007803 -0.00419975 0.0385634 0.13309999 0.00210404 -0.00973256 -0.18916751 0.02800875 -0.00710425 0.05806331 0.07373241 0.13919465 0.01072247 -0.06875687 0.03471147 -0.1735962 -0.15885046 0.00655843 -0.01462908 -0.00366741 -0.00414233 0.01345424 0.0022114 -0.00800829 -0.14316425 0.07908382 0.04274271 -0.01338796] [ 0.06129133 0.01335873 -0.13752705 0.06650991 -0.0041514 -0.0082173 0.05653807 -0.18036012 0.01252662 0.00782071 0.12216732 -0.00124576 0.01121584 -0.14638455 0.07520424 -0.19558327 -0.01292271 0.0719674 0.15006706 0.00541707 0.16954453 -0.06475187 -0.03460183 0.0614589 0.03064373 0.01676489 -0.04639381 0.0026641 -0.20340446 0.08954161 -0.03894332 0.07410727 0.01416242 -0.01261409 -0.04135061 0.00754269 0.01136931 -0.19268346 0.02106866 0.06485198 0.03119524 0.01222434 -0.00315673 -0.01367592 0.0250925 0.11766707 0.12712671 -0.01531143 -0.00622946 -0.0104466 0.00231715 0.00295734 0.00734185 0.01342042 -0.00062024 0.01024139 0.04553817 0.00201142 -0.00233319 0.00280264 -0.00393892 -0.18561605 0.10285082 0.00522457 -0.06258763 -0.16857775 -0.02080561 0.15840746 -0.00027249 -0.17938232 -0.12922616 0.06532143 0.0125631 0.00642298 -0.01127549 0.00332815 0.04183748 -0.00223552 0.00445738 -0.11576433 -0.00050667 -0.01396745 0.01130173 -0.17979905 0.18504614 -0.11749845 0.01373994 0.00816238 -0.00376105 0.20145534 0.13041905 -0.1148672 0.00445638 0.02065348 0.00170101 -0.03122048 -0.206716 -0.16171269 0.00916684 0.05907946 0.21621907 0.15173139 0.04645768 0.1492154 0.01385915 -0.02004671 -0.14387468 0.00995964 0.00898096 0.08638056 0.14472657 0.02524055 0.01326579 -0.00114671 0.00873723 -0.14890864 -0.2078019 0.00580579 0.01297656 0.01477767 -0.00736207 0.05568885 0.00898066 0.00997372 -0.1929804 0.05375176 0.01903523 -0.01012427] Cos Similarity tf.Tensor(0.7342337, shape=(), dtype=float32) (128,) (128,) [ 1.96191613e-02 8.89679119e-02 3.66982222e-02 -1.88167557e-01 -2.77542435e-02 -4.79222648e-02 -1.36970326e-01 -1.37279615e-01 -3.50639597e-03 -3.92432138e-03 -1.61850929e-01 -7.81653821e-03 1.03345299e-02 -1.27489954e-01 3.31457816e-02 4.80448455e-02 6.74837222e-03 1.50305450e-01 9.09222364e-02 -1.23329766e-01 -5.51957339e-02 -1.11764625e-01 1.40562514e-02 1.85061910e-03 2.59944354e-03 2.48455117e-03 1.89402804e-01 -2.39632670e-02 8.14610794e-02 3.89266200e-02 -1.89044192e-01 5.86541444e-02 1.04565891e-02 -3.61776655e-03 1.55842647e-01 1.27978772e-02 -1.79263949e-03 -1.19734928e-01 1.39927650e-02 -4.01783027e-02 1.75084025e-01 -7.95197301e-03 -2.87589966e-03 8.29560030e-03 -1.75935075e-01 -3.14177684e-02 1.48018330e-01 1.14272172e-02 1.01858526e-02 1.41725987e-02 1.12438370e-02 7.69339560e-04 -5.19059598e-03 6.79336581e-03 -1.29540348e-02 2.68540136e-03 -6.83843624e-03 7.69130327e-03 8.40130262e-03 -6.87724724e-03 7.65882134e-02 -1.07969522e-01 2.23952293e-01 -9.90562607e-03 3.44792381e-02 -9.34535339e-02 -7.64555531e-03 -1.41689956e-01 -2.28965413e-02 9.19215083e-02 -6.52923621e-03 3.33331153e-02 -1.31431280e-03 3.52672767e-03 -2.18574284e-03 1.63370483e-02 2.46985666e-02 2.75976360e-02 1.76060793e-03 2.11623296e-01 1.05182035e-03 1.66617881e-03 7.85780698e-03 -1.06656536e-01 -1.85269222e-01 2.14481726e-01 -1.20074444e-01 9.31313634e-03 -2.03275844e-03 -6.08466119e-02 -1.28030613e-01 1.31335974e-01 1.05816461e-02 3.66518553e-03 -1.77188253e-04 1.93414167e-01 1.76438287e-01 -1.02751665e-01 -8.57254956e-03 -1.07568987e-01 2.10149765e-01 1.03656566e-02 -9.91117731e-02 1.90676004e-01 -8.00091866e-03 -2.64630113e-02 3.24428529e-02 1.21312449e-02 -3.24292749e-04 -1.44743621e-01 5.32110315e-03 -4.60798927e-02 -3.97059880e-03 5.03596924e-02 1.68422854e-03 1.72354609e-01 6.55104443e-02 -2.77582631e-02 1.18522026e-01 -2.53939815e-02 4.54940787e-03 5.65124005e-02 2.17063576e-02 -1.84598919e-02 -1.87340170e-01 1.37423063e-02 -1.87467579e-02 -9.35875252e-03] [-0.08497613 0.04865511 -0.11636841 -0.07976599 -0.0300086 0.19876151 -0.04899834 -0.19065434 0.00148441 -0.00112027 -0.02398129 -0.02361133 0.00809059 -0.1680976 -0.01306967 -0.15703182 -0.00897002 -0.05694613 0.15753509 0.08157904 0.10879152 0.1235095 0.18179888 0.02531079 -0.01052493 0.00335998 0.2179818 -0.0251886 -0.08173078 0.12617126 -0.1575778 0.10295531 0.00200953 -0.01358807 -0.05541972 0.00250357 -0.00664651 -0.02159787 0.01097369 -0.01822225 -0.06735491 -0.00428673 -0.00392382 0.00353431 -0.1603401 -0.17879745 -0.07081144 -0.00870079 0.00744639 0.00162837 0.00929999 0.0002628 -0.02148331 0.0020093 -0.01929801 -0.00381934 -0.06608661 0.00302023 0.00672148 -0.01631519 0.0774409 0.2039635 0.18995354 -0.01552461 0.23210329 -0.08705058 -0.02229277 -0.18173638 -0.03098727 -0.03672941 -0.01900074 -0.18396184 -0.00035304 0.00256866 -0.00250215 0.00692234 0.01689546 -0.00867013 -0.00663006 0.1790001 -0.00903183 0.11563067 -0.01077163 -0.01292608 -0.05394809 0.16830757 -0.14155316 0.00183042 -0.00217532 -0.10710237 -0.19944036 0.14603704 -0.01611926 0.00035025 -0.00271007 -0.00327661 0.09702695 0.05756044 -0.0146621 -0.14352414 -0.00309202 -0.00296992 0.10459367 0.15997101 -0.0121113 -0.01902182 0.07664514 0.00180991 -0.02595434 0.02196124 -0.03346543 0.01419872 -0.02097291 0.12793502 -0.02956933 0.14261454 0.03571311 -0.01412736 0.11385516 -0.03242086 0.00670612 0.1507969 0.0094054 -0.01752064 0.10282647 0.02562653 0.07057655 -0.01665742] Cos Similarity tf.Tensor(0.41289085, shape=(), dtype=float32) (128,) (128,) [-7.88377970e-02 1.67645346e-02 -2.47759316e-02 1.41054869e-01 -6.27512252e-03 1.09324589e-01 1.14044473e-01 2.03754991e-01 -1.49313128e-03 -6.34107180e-03 1.64470121e-01 -6.11777650e-05 -6.34231092e-03 -4.09255996e-02 1.15903497e-01 1.68015584e-01 -1.37487603e-02 1.53218850e-01 -8.78144056e-02 -4.50476073e-02 1.33746788e-01 -1.98727056e-01 2.51817126e-02 -1.56412069e-02 1.09403692e-02 6.58350065e-03 -1.59676149e-01 -1.06406473e-02 1.70769811e-01 -4.83080707e-02 -4.74916324e-02 -1.93813860e-01 -7.84854032e-03 -5.38456962e-02 -1.04358219e-01 -3.94567475e-02 -5.25961164e-03 -1.63464695e-01 5.08863758e-03 1.76694226e-02 -6.54481426e-02 6.13990752e-03 1.06315361e-02 -1.36702217e-03 1.06458768e-01 4.86709811e-02 1.77704506e-02 -1.52093833e-02 -6.87396294e-03 8.72194301e-03 1.53154777e-02 1.01850247e-02 -1.23422574e-02 6.50155405e-03 -3.41711636e-03 1.31232915e-02 1.50954500e-01 2.29797163e-03 1.48637837e-03 6.59329700e-04 1.53684325e-03 1.69796437e-01 -1.22029550e-01 -8.11459264e-04 -5.80208516e-03 -1.66396856e-01 -1.03770355e-02 3.71496379e-03 6.45080395e-03 -6.51366934e-02 -1.06463276e-01 -1.21997260e-01 8.81222915e-03 -5.44963591e-03 -7.13280682e-03 -1.48058897e-02 7.61045963e-02 -4.90934029e-02 5.92134381e-03 1.95115730e-01 -7.50088878e-03 5.91554772e-03 -1.03213014e-02 -1.79906383e-01 8.30158368e-02 1.90996706e-01 -7.19461963e-02 8.25453922e-03 -5.79452002e-03 -3.54165621e-02 1.64480776e-01 -1.62068665e-01 4.13746049e-04 1.31775625e-02 1.43205471e-04 5.07621914e-02 1.37945175e-01 -1.72181472e-01 2.86053424e-03 -5.06990775e-02 -1.62341401e-01 2.28403043e-02 -1.29085094e-01 1.40758589e-01 -1.10763581e-02 -2.85281278e-02 -1.75790712e-01 3.02024977e-03 -3.79774347e-03 5.11490367e-02 -4.36472557e-02 -1.77245766e-01 8.34157784e-03 -1.19246906e-02 3.64563502e-02 -2.10246742e-01 5.83559982e-02 -2.32531922e-03 9.58848521e-02 -7.44255818e-03 1.32657737e-02 -9.98947471e-02 1.98864546e-02 1.13729062e-02 -1.46517634e-01 3.67052257e-02 -2.88698394e-02 -2.76911235e-03] [ 8.69180486e-02 2.86929216e-02 3.83026935e-02 1.45125851e-01 1.17955636e-02 1.58291548e-01 1.18593179e-01 1.87348217e-01 -6.71216566e-03 1.47760315e-02 -1.96952559e-02 1.56971496e-02 -7.52654020e-03 -1.08187348e-01 1.11916259e-01 1.75518289e-01 -9.39512253e-03 2.09096596e-01 -1.59282476e-01 2.71994644e-03 8.74307826e-02 -2.14420110e-01 -9.04701576e-02 4.84016426e-02 4.13869955e-02 4.54168534e-03 -1.93556771e-01 8.49408098e-03 -1.63089544e-01 2.75031105e-02 -9.61590335e-02 -2.55062245e-02 -1.17615694e-02 -1.69404745e-02 1.05296515e-01 1.30703142e-02 1.51895145e-02 -5.73393069e-02 4.80036018e-03 5.17733805e-02 4.75804061e-02 1.21744992e-02 1.50967268e-02 -2.59440654e-04 2.62669437e-02 8.52311775e-02 -8.46832693e-02 8.79098475e-03 4.25984338e-03 4.56315465e-02 2.79592965e-02 1.76784117e-02 4.08393405e-02 1.72462109e-02 3.61854844e-02 1.13533139e-02 1.56647786e-01 -9.23035014e-03 3.07457764e-02 2.09066644e-02 1.10819064e-01 1.49132058e-01 6.52934462e-02 1.24256276e-02 1.99946776e-01 -1.59171715e-01 7.36274198e-03 1.18084401e-01 3.64564359e-02 -1.29158735e-01 -1.57433093e-01 3.31058428e-02 1.61745250e-02 1.25665898e-02 2.86941845e-02 6.97844569e-03 1.26367246e-04 1.25423372e-02 1.74636934e-02 2.32808903e-01 1.59368403e-02 1.06396424e-02 9.98711586e-03 5.78953438e-02 9.60188285e-02 2.60343757e-02 -4.48639132e-02 3.04201823e-02 1.52599681e-02 7.58138001e-02 -4.40908149e-02 -1.69074476e-01 3.09089688e-03 2.13389173e-02 2.16983166e-02 -9.12423879e-02 1.83442801e-01 -1.97567746e-01 1.90350395e-02 1.86836347e-01 -2.70546190e-02 1.04071135e-02 -9.89999101e-02 1.97310537e-01 1.54229067e-02 -3.39281373e-02 -1.30862325e-01 1.74649898e-02 1.71192158e-02 5.39046787e-02 -5.44108823e-02 -3.43898349e-02 3.11730802e-02 5.29651530e-04 -1.08287111e-02 -2.39512905e-01 -7.66533315e-02 1.68045331e-02 1.01689495e-01 3.85205708e-02 2.48610694e-02 1.21233799e-02 5.95712364e-02 3.65714566e-03 -1.15207918e-01 -4.04943638e-02 -2.39155497e-02 8.46460834e-03] Cos Similarity tf.Tensor(0.5908924, shape=(), dtype=float32) (128,) (128,) [-1.74665540e-01 -7.51036778e-03 -1.02625489e-01 -7.80072585e-02 -5.24877291e-03 -2.74380459e-03 -3.51858549e-02 7.28405118e-02 1.13233281e-02 -1.92635111e-04 1.30335763e-01 1.07023772e-02 -2.27593095e-03 9.51696932e-02 4.71093096e-02 -3.81554402e-02 -2.28834786e-02 -1.05318941e-01 1.45775884e-01 -1.77119032e-01 -8.16770121e-02 1.45491928e-01 3.28417239e-03 6.50554895e-02 -9.69274342e-03 -1.68884930e-03 -1.22020021e-01 -4.02750942e-04 -6.48433343e-02 -1.22915998e-01 9.80087519e-02 4.48272452e-02 -1.36752427e-03 -6.62925141e-03 -1.15528762e-01 3.37999314e-02 -3.61213228e-04 1.04553349e-01 -2.60103354e-03 1.23992749e-01 -2.91655101e-02 -7.39734760e-03 -7.50663166e-05 -9.82501451e-03 -1.38333723e-01 1.00980885e-01 -1.43805221e-01 -4.07375488e-03 -2.01296085e-03 -2.26344075e-03 2.49982602e-03 9.74613824e-04 -1.17347874e-02 9.91620473e-04 5.86641114e-03 8.98092613e-03 1.84815049e-01 -3.16377869e-03 -5.69659239e-03 -2.50287005e-03 -2.25272238e-01 -1.17966913e-01 -1.31526157e-01 6.09860430e-03 8.40771347e-02 8.36033896e-02 -5.04136598e-03 -7.18358308e-02 2.94697937e-04 1.86348885e-01 -1.27010852e-01 1.98859372e-03 8.60179483e-04 1.05919428e-02 -3.21967388e-03 1.90008269e-03 7.98781589e-03 -3.94169427e-02 -6.20665168e-03 1.36182055e-01 -1.76120326e-02 9.04997438e-03 -1.03751337e-03 2.14549169e-01 1.33023247e-01 1.65823191e-01 -1.43801868e-01 4.52880329e-03 -1.35564925e-02 -1.27059385e-01 1.65866628e-01 -2.12847531e-01 -1.31577365e-02 3.04775103e-03 8.57664912e-04 -1.97215304e-01 -1.08000375e-01 1.07519418e-01 -2.55448348e-03 1.60498291e-01 -1.55432433e-01 2.06974238e-01 -2.23321910e-03 9.97365192e-02 -2.67506880e-03 -8.08323675e-04 1.48869976e-01 -1.22732641e-02 -1.22609427e-02 -3.17873023e-02 -6.09139465e-02 4.65250909e-02 7.83274067e-04 -7.32482895e-02 -5.65233408e-03 7.89712593e-02 -9.61727276e-02 -3.94979957e-03 1.51740357e-01 8.10860482e-04 -2.41382420e-03 1.30220741e-01 1.18196849e-02 5.74286934e-03 1.35290399e-01 -7.02643674e-03 -6.53088267e-04 4.48861334e-04] [-1.96882427e-01 6.26810417e-02 -8.13582391e-02 2.75153667e-02 -6.48326660e-03 -6.10752078e-03 -5.84277287e-02 1.41429126e-01 6.70023076e-03 -6.49875542e-03 1.60581753e-01 8.90193135e-03 1.54128601e-03 1.93090245e-01 1.13356179e-02 -1.26366153e-01 -2.70726420e-02 -9.16005764e-03 2.26521492e-01 -2.02093914e-01 -6.22871215e-04 -6.10467466e-03 -3.33588719e-02 9.55229551e-02 -2.87818979e-03 8.40347353e-03 -8.31955206e-03 -7.61892460e-03 -2.05249134e-02 -4.26672064e-02 1.88816473e-01 -2.85727754e-02 -9.97291226e-03 -2.45469902e-02 1.52768623e-02 2.55701020e-02 1.48012314e-03 2.69184094e-02 -3.41287977e-03 1.58179253e-01 -6.56536818e-02 -4.27329075e-03 1.21750648e-03 -3.38157243e-03 -1.80214122e-01 8.17425996e-02 -1.67706296e-01 -1.56027591e-03 -2.58053490e-03 8.33860226e-03 7.58695463e-03 7.51773780e-03 -6.46030810e-03 1.56126381e-03 3.38752870e-03 1.01642339e-02 1.31343752e-01 -1.24889147e-02 -4.88431845e-03 6.64041843e-03 -2.44378373e-01 7.58547243e-03 -1.75573811e-01 5.56538929e-04 -9.82376337e-02 1.37558922e-01 9.58317891e-04 2.02049050e-04 -6.46322733e-03 1.14484698e-01 -3.06369495e-02 1.21153474e-01 4.30124393e-03 1.40855713e-02 -6.05380721e-03 2.91747419e-04 4.52393554e-02 1.20266832e-01 5.06695919e-03 1.47795945e-01 -2.41099764e-02 2.03125644e-02 -1.01432847e-02 1.42296270e-01 -1.87342227e-01 -9.01000798e-02 -2.02909634e-01 3.42453201e-03 -1.27486410e-02 -1.76154345e-01 -1.18058458e-01 -1.68441191e-01 -9.58172418e-03 4.10651369e-03 1.81833701e-03 1.45372778e-01 -1.37583673e-01 1.18671656e-01 -2.60289060e-03 1.53888360e-01 -5.03176488e-02 2.25016385e-01 -1.61742158e-02 -1.71781272e-01 -7.21321558e-04 -8.43513850e-03 1.13826670e-01 -7.98952021e-03 -1.57157909e-02 1.51109010e-01 1.98306143e-02 -4.33492325e-02 -1.72947738e-02 9.48984642e-03 -5.90023138e-02 5.45957386e-02 -9.04994011e-02 -6.78559823e-04 1.15802316e-02 6.72299741e-03 -7.98886642e-03 8.33066776e-02 1.21421637e-02 -1.24009997e-02 -5.77820884e-03 -1.82375442e-02 4.40543005e-03 -8.67966004e-03] Cos Similarity tf.Tensor(0.5795115, shape=(), dtype=float32) (128,) (128,) [ 5.18194623e-02 1.69803157e-01 5.41609414e-02 7.04991724e-03 -9.89544089e-04 1.31147891e-01 -1.49859920e-01 9.01962370e-02 2.48403158e-02 -1.08291563e-02 -2.12417662e-01 -1.88633928e-03 -5.59451617e-03 -7.66901821e-02 7.58567005e-02 1.37992308e-01 9.28153843e-03 -6.37557432e-02 -1.10949561e-01 5.94618917e-02 1.31124305e-02 -1.07010320e-01 1.01674035e-01 1.38427511e-01 1.31681720e-02 3.87558178e-03 1.15821555e-01 5.87523077e-03 -1.51999831e-01 1.59013465e-01 -3.77246412e-03 1.10143032e-02 1.37305623e-02 -4.71290172e-04 -1.27144456e-01 -1.46428570e-02 -3.02064978e-03 -8.24533626e-02 -7.74486642e-03 -1.57427490e-02 -1.00453302e-01 1.07715232e-03 1.41535397e-03 -1.45679880e-02 1.24787129e-01 1.53763220e-01 -1.37986064e-01 2.68258806e-02 1.40930433e-02 1.81720387e-02 9.41431988e-03 6.05111290e-03 1.64239318e-04 8.53706244e-03 1.66462027e-02 1.07077882e-02 1.26373455e-01 1.10676074e-02 2.03240253e-02 4.80311690e-03 1.38825953e-01 -7.49256182e-03 2.03045309e-01 -6.17205398e-03 1.65936366e-01 2.03653723e-01 5.50095271e-03 -3.21841538e-02 1.48301004e-02 -1.50651425e-01 -7.21907243e-02 1.90870225e-01 -6.30568434e-03 -9.88025917e-04 4.53318283e-03 2.64920611e-02 1.37196779e-01 3.00680790e-02 -1.28639024e-03 -6.31064922e-02 9.32216365e-03 -2.17898395e-02 3.44281993e-03 4.79952283e-02 -1.72208354e-01 9.60638523e-02 1.92369878e-01 2.15757601e-02 2.71128025e-03 6.64019138e-02 -1.40926152e-01 -1.51485592e-01 9.40052979e-03 1.97618268e-02 -1.86059866e-02 -3.39445448e-03 -8.71707126e-02 -1.90275013e-02 -1.67099684e-02 -1.36709809e-01 1.20409474e-01 -1.80430546e-01 2.13479653e-01 3.16854706e-03 -1.25373071e-02 9.62673593e-03 1.37379646e-01 4.26512584e-02 5.17807435e-03 -2.13805869e-01 -1.42083734e-01 -2.59473287e-02 2.38475632e-02 9.52142179e-02 2.86878180e-02 1.04805166e-02 -1.18171364e-01 -4.09549801e-03 -2.62134261e-02 2.19098255e-02 1.06606670e-02 -9.57039446e-02 3.12886573e-02 -2.07635164e-02 -1.75333079e-02 1.24598213e-01 -2.97084451e-02 4.64465702e-03] [-1.17094167e-01 1.69708300e-03 3.59997861e-02 -1.53029338e-01 -4.73217666e-03 -4.87364680e-02 3.92888971e-02 4.20084931e-02 -8.73752777e-03 1.28398195e-03 -2.02767104e-01 1.39500864e-03 1.87771535e-03 8.17782134e-02 3.23321633e-02 -1.56856030e-01 2.53822468e-03 -1.44645289e-01 7.35959113e-02 5.54635655e-03 -1.02213591e-01 -1.50632456e-01 -3.93406451e-02 7.48696253e-02 -8.82220082e-03 3.86297191e-03 -1.68446507e-02 -2.66593397e-02 1.51393041e-01 9.73540768e-02 -1.72788680e-01 1.86733991e-01 4.98088601e-04 4.75049671e-03 1.58714905e-01 9.22736805e-03 -7.49120070e-03 -1.24251269e-01 -3.00922384e-03 -4.76379879e-02 -2.13034172e-02 -4.09013499e-03 -6.41168328e-04 -1.90197751e-02 1.51493058e-01 1.71719596e-01 1.85875362e-03 -6.08851318e-04 -2.44818884e-03 1.52614182e-02 5.91069087e-03 1.06928246e-02 -1.24535719e-02 1.11915544e-03 -1.00395456e-02 7.69820623e-03 -1.97523162e-02 -1.84018325e-04 -6.77920924e-03 8.97385762e-04 -1.27266496e-01 -1.87363803e-01 1.80279016e-01 2.74214987e-03 -1.14774704e-01 9.02933776e-02 -1.00769242e-02 -1.17388420e-01 3.50298826e-04 -5.81839494e-03 -1.38923496e-01 1.22432150e-01 8.99611134e-03 2.07148306e-03 6.06587762e-03 -5.80161344e-03 -6.50925413e-02 -3.68031114e-02 -1.73742272e-04 1.02295645e-01 -2.01131981e-02 -3.11710034e-03 6.44633127e-03 8.26912820e-02 -1.93570018e-01 1.43097669e-01 1.38893753e-01 1.71743194e-03 -8.07080232e-03 1.68176681e-01 1.53187826e-01 1.70771644e-01 -1.53489097e-03 5.52965840e-03 4.31585405e-03 1.80823341e-01 6.08459562e-02 -6.11278899e-02 -1.40637159e-02 -1.22985877e-02 1.87943876e-01 -1.20068260e-01 1.20238133e-01 1.53638378e-01 1.48515275e-03 -7.34189432e-03 1.81888759e-01 3.29729111e-04 -2.50274455e-03 -1.95265114e-01 1.21829674e-01 8.54904356e-04 1.05449534e-03 1.27092019e-01 2.53494047e-02 5.00715263e-02 -1.84168592e-02 1.45181926e-04 1.54178664e-01 -5.58721833e-03 2.27399915e-03 8.61390606e-02 1.06437188e-02 -9.09575075e-03 -1.27045989e-01 2.60243453e-02 5.05612157e-02 -2.50490778e-03] Cos Similarity tf.Tensor(0.26230115, shape=(), dtype=float32) (128,) (128,) [ 0.17174254 0.15045743 0.10003904 0.10970752 0.00432082 0.00263446 -0.03797298 0.15462603 -0.01550573 0.01979007 -0.18588436 -0.00716167 0.01816121 0.14140035 0.05217207 -0.00044737 0.01891343 0.15688787 -0.05597486 0.13062835 0.18080588 0.01739747 0.10615435 0.0641221 0.01350926 0.01070414 0.10966974 -0.00251474 -0.01771577 -0.02559687 -0.1942586 -0.02312758 0.01274432 0.03328404 0.04988668 0.03342251 -0.0162607 0.06151332 -0.00113245 0.10837007 -0.09763943 0.01698138 -0.00319271 0.01028418 0.11599994 0.12145012 0.04980247 0.03612914 0.03213086 0.01883264 0.00089076 0.01394435 0.02607297 0.01286896 0.03051904 0.0160026 0.17552091 -0.01766629 0.02600659 0.02030982 0.11886813 -0.09860346 -0.12217513 0.02679334 0.0378899 -0.18040086 0.0114556 -0.01351748 0.02282514 0.11836058 -0.09564582 0.14524642 -0.0003848 0.01375711 0.00721 0.03154258 -0.05064752 -0.09945595 0.00291254 0.086074 0.00161933 -0.00470613 0.00379973 0.16181704 0.1772858 0.16147032 -0.13509268 0.01315928 0.00800284 -0.16960336 -0.18585542 0.08678703 0.02376469 0.0347374 0.03754418 -0.07359407 0.11352059 -0.16980463 0.00249738 -0.02385912 0.1107495 -0.1662944 0.13332579 -0.20769909 -0.01869743 -0.01907999 -0.17274405 -0.01018053 0.00778582 -0.06562705 -0.09900068 -0.04661051 0.01234958 0.11599935 -0.02176819 -0.02408105 0.1818322 -0.00050161 -0.11559304 -0.00619169 -0.00490495 0.07235921 0.01426491 -0.00148935 0.13226281 -0.04339213 0.03265702 -0.01176876] [ 0.1450659 -0.07661448 0.07058226 0.17638977 -0.00132052 0.04146247 0.01618167 -0.01828396 0.00195516 -0.00279876 -0.18079168 -0.00572954 0.00738592 0.12423734 0.03812851 0.03209538 0.02385849 0.16640799 -0.08949675 0.07808342 0.17988147 -0.04765877 0.09401169 -0.04220551 0.01464398 -0.00501868 -0.08739471 0.01271538 0.00820134 0.09602505 -0.13693006 0.12500292 0.02267446 0.02166073 0.06133943 0.01808759 -0.00947004 0.13091642 -0.00502465 0.14765082 -0.10499018 0.00982378 -0.00829028 0.00398464 0.06279662 0.18338597 -0.01259575 0.01839504 0.02130537 -0.00914064 0.00060861 0.0101195 0.01169665 0.01296112 0.02143788 0.01609713 0.17985277 0.00707088 0.00025124 0.0055574 0.15693043 0.02512114 0.0875464 0.00964078 0.01376696 -0.1748492 0.00175655 0.11911833 0.00905858 0.17735082 0.10544591 0.06117996 -0.00940721 0.01626313 0.00782215 0.02211002 0.1582629 -0.16266271 -0.00313464 0.05461897 0.00325552 -0.00242594 0.0064698 -0.06082167 0.1690051 0.05816903 -0.09458382 0.01362588 0.00949138 -0.04476203 -0.09809529 -0.04815315 0.01242771 0.0091469 0.02705805 -0.14447431 0.17167331 -0.180654 0.00378541 -0.12746713 0.08133835 -0.16770886 -0.07665343 -0.1918491 -0.02287042 -0.02474173 -0.15951926 -0.0084005 0.00760822 -0.12920733 0.14186442 0.06921605 0.01668366 -0.12608589 -0.04839569 -0.17393672 0.18354118 0.00046817 -0.14793542 -0.00167754 -0.01785347 0.06474941 -0.01092986 -0.00688086 0.08294169 -0.09564622 -0.08648089 -0.00525576] Cos Similarity tf.Tensor(0.6290163, shape=(), dtype=float32) (128,) (128,) [-0.01864659 -0.17418349 0.05603039 0.02777188 0.05783168 -0.12474637 -0.01377008 0.17501165 -0.01412439 0.00179805 0.11357246 0.01842609 0.00231196 0.14653313 -0.10491314 -0.0376204 0.01464187 0.16315278 0.11106873 -0.0933538 -0.18448704 0.01388388 -0.1217734 0.10479039 -0.01487587 0.00696075 0.15225816 0.00930935 0.15174903 0.12208083 -0.05840156 -0.10856576 -0.0378653 0.01785182 0.17971525 0.00610936 0.03734289 -0.1611458 -0.01237491 0.14794175 -0.03961849 0.00929666 0.00374373 0.00339571 0.01009597 0.1536851 -0.01003079 0.00583474 0.00485341 0.03611868 -0.00094035 0.00883398 0.03498465 0.01396818 0.01574829 0.03424316 0.16013858 0.00887008 0.00035652 0.02503939 0.13144875 -0.01498825 0.09679101 0.03089268 -0.17077602 0.18070231 0.00079078 0.05520806 0.00951656 0.20446396 -0.0596904 -0.07823512 0.01414575 0.0398943 0.01383791 0.01778055 0.11286314 -0.10632164 -0.01508459 -0.12877348 -0.00250666 -0.00403807 0.00544824 0.14144392 0.11427858 0.04081469 -0.03703841 0.005906 0.01543578 0.04326936 -0.21466689 0.0343283 0.00121234 0.03308143 0.00960663 0.15144393 0.11296298 0.08826096 0.01223757 0.02701895 0.1315543 0.12273405 0.1234796 -0.04142231 0.01714946 -0.01268698 -0.01356444 -0.01057364 -0.00634087 -0.07397174 0.04277685 0.17674309 0.0095187 -0.17182228 -0.05962669 -0.05316201 -0.1807759 -0.00677971 0.09351834 0.03808806 0.00953532 -0.09257731 0.02369659 -0.00957427 0.16985944 -0.09132713 -0.10709354 -0.00500362] [ 1.66554272e-01 4.04710136e-02 -7.26897493e-02 -5.19309938e-03 -4.22642333e-03 -1.55293107e-01 3.93580869e-02 -7.46655315e-02 1.42662497e-02 -6.55652909e-03 -1.13594951e-02 1.53865973e-02 1.20068472e-02 9.85878333e-02 1.70756653e-02 3.41519415e-02 -7.26079429e-03 -6.05977997e-02 -1.21389395e-02 -3.64922173e-02 7.65829906e-02 -1.94332570e-01 -3.00868582e-02 1.78241894e-01 2.32603867e-02 1.00677451e-02 4.27515134e-02 -6.11984544e-03 1.47129036e-02 8.67288858e-02 1.65369958e-01 -1.82951137e-01 -2.42894590e-02 -3.00279967e-02 -2.16457322e-01 -5.62567487e-02 1.73856295e-03 -1.21603534e-01 -8.23059399e-03 1.00445069e-01 -1.55513883e-01 1.75766269e-04 -2.91033764e-04 -4.44878079e-03 8.82370844e-02 1.21168613e-01 1.05485693e-01 -3.74018593e-04 3.05400172e-04 -9.61599685e-03 -4.24606632e-03 5.71350288e-03 -2.83614290e-03 8.44860077e-03 8.50476045e-03 1.67674909e-03 -1.76863223e-01 -4.29322943e-03 6.43496681e-03 9.68158059e-03 -5.69081716e-02 1.46108136e-01 1.61300734e-01 -8.76233540e-03 -2.09457263e-01 -7.24066868e-02 -4.96808207e-03 1.51502848e-01 8.79231468e-03 -1.61603540e-01 -3.38014826e-04 2.32274793e-02 7.46157346e-03 -7.96510139e-04 -5.23401657e-03 1.44378433e-03 3.87672633e-02 1.31341875e-01 -2.39867554e-03 1.35345936e-01 -9.33271460e-03 -6.80441596e-03 -5.50935185e-03 -7.74971247e-02 -6.09568283e-02 1.89549416e-01 6.51004538e-02 1.55793661e-02 -6.64293114e-03 -8.28583762e-02 8.14196914e-02 -4.11855131e-02 -4.72494448e-03 1.08085414e-02 -9.93593317e-03 1.24031574e-01 -8.94402564e-02 -7.94802904e-02 -1.22969155e-03 1.81572646e-01 -1.43976614e-01 -2.08667800e-01 -1.37864053e-01 1.19261935e-01 -1.73072435e-03 1.62669644e-02 -1.63379431e-01 1.23352576e-02 9.92479920e-03 1.53022155e-01 2.95619238e-02 2.09702402e-01 5.83638903e-03 1.38185620e-01 5.19421399e-02 2.09432784e-02 5.80192357e-02 2.09229458e-02 2.59597152e-02 -2.88686417e-02 1.22154029e-02 -1.50791273e-01 -1.54563198e-02 -2.86096503e-04 -2.09148914e-01 2.50772052e-02 1.98576916e-02 -8.43418122e-04] Cos Similarity tf.Tensor(-0.13412473, shape=(), dtype=float32) (128,) (128,) [ 1.70912057e-01 -1.03872024e-01 4.27764282e-02 -3.14092375e-02 -1.61748473e-02 -1.75170992e-02 -1.08392760e-01 -5.23936860e-02 -3.19783785e-03 -9.65367910e-03 -1.17052026e-01 6.32111309e-03 1.06743128e-05 -9.25225616e-02 1.35284647e-01 -1.53754696e-01 -1.62054226e-02 1.98664963e-01 -6.26065582e-02 8.63062590e-02 -9.92503092e-02 5.64511158e-02 -2.17240863e-02 6.73749968e-02 -1.23490421e-02 6.55237213e-03 5.39317951e-02 -2.47302577e-02 1.88264683e-01 1.59410670e-01 1.18266933e-01 3.17635126e-02 -1.95424687e-02 9.28126648e-03 4.99889888e-02 3.23074474e-03 -1.27394451e-02 4.29698192e-02 -1.89270619e-02 -1.00879632e-01 -6.07814342e-02 3.49475536e-04 8.54318962e-04 2.79090628e-02 -9.84288380e-02 1.46523133e-01 1.14570647e-01 -4.93876403e-03 1.63617544e-02 2.33620983e-02 5.81034925e-03 -1.09911361e-03 3.11668706e-03 1.04472842e-02 1.72809011e-03 6.00304548e-03 -6.69070408e-02 2.95505486e-03 -3.13428137e-03 2.73574842e-03 4.43118587e-02 -1.72867179e-01 1.61524758e-01 -3.42150102e-04 8.57402757e-02 -1.01033539e-01 7.57889496e-03 -5.29250577e-02 -1.96668264e-02 1.71728149e-01 3.54880318e-02 1.62229151e-01 4.97782510e-03 1.41083449e-02 -1.30863965e-03 2.12095603e-02 -1.53791830e-01 6.22137897e-02 -6.46993052e-03 -1.45571098e-01 5.48552070e-03 -4.46993764e-03 6.95235841e-03 1.66584089e-01 -1.98962331e-01 -6.88825250e-02 -3.08117643e-02 1.68719329e-03 -1.12462901e-02 -1.36930317e-01 -6.71363110e-03 -1.96695209e-01 4.14318114e-04 -3.11078946e-03 -4.81446348e-02 1.19912341e-01 -1.34060413e-01 -6.86272606e-02 -1.16831735e-02 1.00741252e-01 1.57601144e-02 -1.93285495e-01 1.52132601e-01 1.71882421e-01 -3.52659007e-03 -4.29574819e-03 1.09840430e-01 5.88255338e-02 -6.70127012e-03 -6.07223324e-02 -1.67598024e-01 1.53151080e-01 1.88550365e-03 5.98069131e-02 5.22002839e-02 9.98470038e-02 -1.77138031e-01 -5.42805204e-03 1.51522115e-01 -1.27433827e-02 7.41745019e-03 -1.04114562e-01 1.79978721e-02 6.84910314e-03 -2.08025739e-01 -7.80547559e-02 -3.06858309e-02 -9.17243212e-03] [ 7.03206882e-02 -5.36621660e-02 8.33224133e-02 1.54304907e-01 -8.98428669e-04 -6.20203763e-02 -3.79034542e-02 -8.62022340e-02 2.34257337e-03 -4.86102141e-03 1.01647198e-01 7.20325066e-03 1.30180269e-02 1.30172009e-02 3.11263357e-05 -1.57067209e-01 7.19479704e-03 1.77926332e-01 -5.50355464e-02 1.26966223e-01 -9.25650299e-02 -2.71539576e-02 9.36264812e-04 -3.78738064e-03 -1.04258079e-02 1.12491641e-02 -8.98490250e-02 -2.22235976e-04 1.31551683e-01 1.78271711e-01 1.82813644e-01 1.91274911e-01 -2.11200211e-02 -4.37470479e-03 -1.54693067e-01 2.81434134e-03 -2.96665635e-03 1.16213560e-01 -1.85339358e-02 -8.18648785e-02 1.68698207e-01 8.92583746e-03 -3.12087272e-04 -4.80620284e-03 2.71324832e-02 1.79491639e-01 8.46714005e-02 -4.64353617e-03 1.79566722e-02 2.56402902e-02 5.66010410e-03 5.22514805e-04 -8.54158495e-03 1.21897729e-02 -2.38152267e-03 7.64373085e-03 5.80247566e-02 5.02691232e-03 5.59757696e-03 -7.92985316e-03 1.08062796e-01 -1.44325597e-02 1.88488707e-01 2.20370028e-04 1.02918714e-01 -4.03855294e-02 6.12326479e-03 -2.47393847e-02 -3.75670358e-03 1.11760519e-01 3.49174850e-02 1.66411608e-01 -6.73559494e-03 9.56973899e-03 -4.44619590e-03 1.88439731e-02 -1.29814357e-01 7.14988485e-02 -1.21314703e-02 -1.10832527e-01 -5.91516774e-03 -9.98339150e-03 2.16991082e-03 1.32170528e-01 -1.52428150e-01 2.96799019e-02 7.79915303e-02 1.03682335e-02 -9.62316711e-03 -2.40841061e-02 -1.05101258e-01 -2.03243479e-01 -4.91288677e-03 4.29269671e-03 -2.59874258e-02 1.45323828e-01 -1.39820397e-01 -9.88584682e-02 2.17669155e-03 1.30818009e-01 1.41943648e-01 -1.49405360e-01 1.63223803e-01 1.81520864e-01 1.75274455e-03 6.07607234e-03 -6.03912026e-02 -3.03980359e-03 5.09800110e-03 -1.48562059e-01 -1.46186367e-01 1.89951658e-01 1.24945398e-02 1.16876684e-01 8.05778429e-03 -1.32231852e-02 -2.01098070e-01 -2.19983440e-02 1.50289401e-01 -2.20646318e-02 -2.92998296e-03 6.47441000e-02 1.97293647e-02 -1.35669084e-02 -1.79624259e-01 3.59659735e-03 3.15703079e-02 -3.65324342e-03] Cos Similarity tf.Tensor(0.7242862, shape=(), dtype=float32) (128,) (128,) [ 7.94496015e-02 -1.23282142e-01 1.23036787e-01 8.88883416e-03 8.34889989e-03 5.01435279e-05 -4.29085642e-03 -1.56492703e-02 -7.25453114e-03 3.49846445e-02 -9.27110165e-02 3.96102034e-02 5.29961102e-02 -1.19162329e-01 1.47672445e-01 1.72808226e-02 8.77349824e-02 -4.91193645e-02 -1.47332087e-01 -4.11552787e-02 -9.71397758e-02 1.37274057e-01 9.58646238e-02 2.92377323e-02 3.65903899e-02 2.77017262e-02 -3.28718238e-02 4.38130610e-02 -4.19367664e-03 -1.08853363e-01 -8.96495488e-03 -5.03389239e-02 5.93564212e-02 1.03244908e-01 1.38555899e-01 -5.60304476e-03 8.49718302e-02 1.57752305e-01 -9.36262310e-02 -1.91600919e-02 1.42853618e-01 -2.61696018e-02 3.00825164e-02 2.30054799e-02 -1.62176535e-01 -7.67540336e-02 1.52487177e-02 4.50003594e-02 4.58239131e-02 3.16372924e-02 4.59861197e-02 -3.51553870e-04 9.52414051e-02 2.86502726e-02 1.62045494e-01 8.82779136e-02 -1.27990291e-01 4.37621213e-02 8.10903832e-02 6.74356744e-02 -1.28829405e-01 -1.52039453e-01 1.09025031e-01 1.70487296e-02 1.87388852e-01 1.62209064e-01 5.48334606e-02 1.20283857e-01 7.37199411e-02 -3.44467387e-02 1.10416904e-01 -1.37866005e-01 3.35321650e-02 6.61331043e-02 3.77759375e-02 1.27392918e-01 9.68497172e-02 -4.43738885e-02 2.61321384e-02 -1.13035314e-01 2.96158660e-02 -4.58542164e-03 1.31336169e-03 1.34489968e-01 -5.87920770e-02 -4.27057110e-02 -1.44030884e-01 4.55601998e-02 4.71459851e-02 -2.70637665e-02 4.87545393e-02 1.25368372e-01 7.77856186e-02 6.94491714e-02 2.06589885e-02 6.46521524e-02 4.72410209e-02 -1.45796835e-01 4.02884260e-02 8.20096582e-02 6.19496368e-02 -1.26362324e-01 -1.60818800e-01 -1.64663494e-01 5.22483848e-02 -2.51967795e-02 -1.48487061e-01 5.03663607e-02 1.12308241e-01 3.38502973e-02 -1.82006910e-01 -1.24544226e-01 8.19926858e-02 4.90463413e-02 -6.25118166e-02 -1.02409422e-01 -1.06164217e-01 1.09892301e-02 5.00000305e-02 6.95775524e-02 2.66326442e-02 1.20570116e-01 1.14362776e-01 4.81714271e-02 1.39830321e-01 1.46766096e-01 3.03934421e-02 2.60386243e-02] [ 0.12927747 0.03134951 0.11540954 0.14550614 0.00872051 -0.00696713 -0.16883089 0.08255309 0.00682328 0.01148268 0.11001948 0.03384697 0.01533614 -0.13735008 0.17238265 -0.1560701 -0.00276319 0.18453623 -0.09268879 0.14269906 -0.08777039 -0.10953419 -0.01640275 0.04215118 0.01035936 0.00942526 0.14385101 0.01294283 0.06469183 -0.18293618 0.05834913 0.18444741 -0.00581224 0.03168163 -0.04290144 -0.00250602 0.0190502 0.18353912 -0.05589075 -0.02769987 0.15156057 -0.0021183 0.00411269 0.00604546 -0.15559047 0.15341966 -0.01131447 0.04879979 0.01046033 0.02611701 0.02116088 -0.00169123 0.04572783 0.01118882 0.01741579 0.01447192 -0.10727674 0.00877029 0.02887547 0.01677793 0.01127744 -0.03898064 -0.12428748 -0.01759132 -0.1006108 0.12947041 0.01654481 -0.08080415 0.01842627 0.14327843 0.00833684 0.14461315 0.01276314 0.00869153 0.01017998 0.032573 -0.16488117 -0.00285235 0.00161468 -0.07349838 0.00300574 0.03481974 -0.02528704 0.05530191 0.04183637 0.06405459 -0.11696957 0.0382047 0.0100532 -0.03455284 -0.05604077 0.18439019 0.00994016 0.01137998 -0.00790208 0.07273366 -0.05692533 -0.16659185 0.03030571 0.21339025 0.15973775 -0.16593789 -0.16112198 -0.00661529 0.025932 0.01945967 -0.09945758 0.02916472 0.00803285 0.09583253 -0.17745195 0.0266231 0.01107968 -0.08136562 0.11161301 -0.04549516 -0.16014987 -0.020189 -0.12396029 0.05070049 0.01176314 -0.0710634 0.05687946 0.01664335 0.171383 0.03309597 -0.0551675 0.00052585] Cos Similarity tf.Tensor(0.34156635, shape=(), dtype=float32) (128,) (128,) [-1.10760957e-01 -9.96665955e-02 1.52787995e-02 6.79642260e-02 -2.64340620e-02 1.14854947e-01 -3.28767672e-02 -2.01232344e-01 4.91022551e-03 4.26859269e-03 -7.49430284e-02 1.96406245e-02 1.52201187e-02 -1.19692460e-01 -1.18059799e-01 -5.06350882e-02 7.74840731e-03 1.47363961e-01 -3.37550603e-02 -1.68693691e-01 -1.01571716e-01 1.09421745e-01 -1.51481867e-01 1.33649185e-01 1.95517652e-02 1.57092400e-02 -1.42526224e-01 1.56758465e-02 -1.30539313e-01 8.62096772e-02 1.42769277e-01 -1.76111817e-01 1.42524680e-02 3.43396608e-03 1.15814686e-01 1.48954196e-02 1.32096987e-02 -6.47846907e-02 -9.89428535e-03 1.45423919e-01 1.62869230e-01 1.65739993e-03 3.47392028e-03 2.89947148e-02 -1.08320862e-01 -1.69142291e-01 1.69986531e-01 4.93900792e-04 2.47620773e-02 -1.27893733e-02 4.35274001e-03 -4.22789622e-03 -4.94811218e-03 1.53331459e-02 1.31445425e-02 9.03986115e-03 1.94995195e-01 7.04314234e-03 6.19563507e-03 2.16592439e-02 8.87328759e-03 1.36976063e-01 1.28923222e-01 -3.73704266e-03 -2.48195846e-02 1.27466381e-01 -8.08484852e-03 1.28443614e-01 -2.90468801e-03 8.05638805e-02 -1.85508147e-01 -5.56906685e-02 -4.02398873e-03 -1.11014936e-02 -4.65458352e-03 1.57844163e-02 4.08003367e-02 1.50080726e-01 1.79546874e-03 -1.57585010e-01 1.62521955e-02 -2.54060589e-02 5.08872978e-03 -2.64568720e-02 9.30966511e-02 1.05264254e-01 1.42430007e-01 1.13318237e-02 -6.80685567e-04 -2.55735107e-02 1.95436358e-01 7.32222944e-02 2.58937478e-02 1.12304399e-02 -1.74821224e-02 -1.54556975e-01 1.90970331e-01 1.01151988e-02 6.70775305e-03 -9.20318142e-02 -1.14057995e-01 -9.10593942e-03 -1.30787879e-01 8.34987871e-03 1.28523372e-02 -3.54120112e-03 1.99069440e-01 8.72314628e-03 1.35186054e-02 -5.33177294e-02 -1.54508486e-01 4.66544703e-02 2.98229043e-05 7.23055825e-02 -9.79094766e-03 -7.17088208e-02 -1.37898043e-01 1.32217668e-02 -5.81389330e-02 -1.38124060e-02 4.32776101e-03 -1.35248721e-01 4.19925973e-02 -6.80503994e-03 5.91611825e-02 3.49093527e-02 1.30755991e-01 4.65511158e-03] [ 5.88846728e-02 6.23516142e-02 5.32190502e-02 -1.20345093e-01 -3.34833413e-02 3.64205837e-02 -1.10200875e-01 -9.05235764e-03 1.29518909e-02 -6.30850962e-04 -1.12990819e-01 1.08418269e-02 1.34282988e-02 1.94247626e-02 1.50049105e-01 -1.32908329e-01 1.55663455e-03 5.57660870e-02 -1.08790480e-01 -1.51416317e-01 1.37242794e-01 1.88677326e-01 1.72083363e-01 2.94431392e-02 -1.01295449e-02 1.48482090e-02 2.54247840e-02 1.98374353e-02 3.70586514e-02 1.63019255e-01 1.62944403e-02 1.22750603e-01 -3.74470372e-03 -4.23299987e-03 1.86040774e-02 -4.50655585e-04 -1.03124483e-02 -8.59040022e-02 -2.37906873e-02 1.44243956e-01 -1.47356346e-01 3.20766238e-03 1.15234163e-02 2.04462707e-02 -9.25946161e-02 -1.11380912e-01 1.11379839e-01 5.14996285e-03 1.07771251e-02 -1.48407156e-02 -2.32761796e-03 -3.85091593e-03 -1.09469518e-03 1.27645610e-02 3.17690684e-03 3.97382304e-03 2.00327948e-01 9.80039872e-03 -1.05883263e-03 2.91866763e-03 1.36096686e-01 1.95790410e-01 -1.48648322e-01 9.74893570e-03 -1.37164891e-01 -1.76167116e-01 -3.36486869e-03 -9.51702334e-03 7.40361167e-04 1.68055490e-01 -1.51042193e-01 -5.38494587e-02 1.92256877e-03 3.56664811e-03 2.41405750e-03 2.46449113e-02 1.73619986e-01 1.74100935e-01 4.81711281e-03 -2.01528728e-01 -5.46047930e-03 -3.58895632e-03 2.96843536e-05 2.55190581e-02 -1.51580960e-01 1.92506894e-01 1.84074327e-01 1.18765375e-02 6.83702901e-03 -4.34500165e-02 1.32316917e-01 -9.01093036e-02 7.33997207e-03 1.60843600e-02 1.83504692e-03 -1.82239220e-01 1.49268314e-01 8.02490860e-02 4.22262959e-03 -4.08870261e-03 -7.48779178e-02 -4.19207104e-03 -1.86208025e-01 1.40756201e-02 -5.62529545e-03 1.13897258e-02 -9.66276750e-02 1.19008515e-02 5.82658406e-03 1.48867279e-01 4.81929258e-02 -9.36799422e-02 6.76850788e-03 2.57560182e-02 -1.83332060e-02 -1.46923915e-01 -1.13754593e-01 -1.43045010e-02 1.29117861e-01 7.60440668e-03 6.01726424e-05 1.11350166e-02 1.53086381e-02 -1.70221366e-02 -4.12051976e-02 6.99503794e-02 3.56435888e-02 -2.32047332e-03] Cos Similarity tf.Tensor(0.3151788, shape=(), dtype=float32) (128,) (128,) [-2.01161817e-01 -3.44934799e-02 2.26247981e-02 -8.79499242e-02 3.24236555e-03 1.62963495e-01 1.25728538e-02 1.46513045e-01 1.16767474e-02 -4.84466506e-03 1.24032415e-01 -1.35682998e-02 -7.16255687e-04 -8.37017503e-03 -9.69284866e-03 -7.28244260e-02 -1.75113510e-03 1.81172654e-01 1.44091070e-01 -1.12097397e-01 2.93775462e-02 -1.48616120e-01 -1.23907328e-01 -2.43072286e-02 2.05526091e-02 -5.70552517e-03 -4.15018350e-02 -1.59716271e-02 1.20174661e-01 1.87054381e-01 1.43197373e-01 -7.70944655e-02 -2.32860837e-02 -4.14730459e-02 -1.73980623e-01 -7.24864611e-03 2.17529684e-02 -1.98876578e-02 5.07401419e-04 -1.85836945e-02 1.47125080e-01 6.63419906e-03 -1.25615392e-02 4.07390436e-03 -9.36519802e-02 1.60842746e-01 1.93788305e-01 -2.08231416e-02 7.05473777e-03 2.74030343e-02 5.97327622e-03 7.56633282e-03 1.39280304e-03 1.74030068e-03 -1.55391789e-03 7.36525515e-03 4.60603759e-02 -1.20973513e-02 -1.48646266e-03 -6.84137270e-03 1.05635375e-01 4.00509723e-02 1.72515675e-01 -6.45591738e-03 -1.82773456e-01 -1.50826067e-01 -1.82305537e-02 1.34664685e-01 7.22407363e-03 1.54272013e-03 7.97464252e-02 -4.86568436e-02 -6.20516343e-03 1.29569592e-02 7.01359054e-03 -6.49082754e-03 1.42140295e-02 1.27863526e-01 5.62268263e-03 -1.01402953e-01 -2.55088676e-02 -1.74641062e-03 1.40279206e-02 -4.28225733e-02 7.56846592e-02 -9.59231108e-02 -4.41556685e-02 1.30011700e-02 -1.65676307e-02 -4.19481397e-02 -1.77562401e-01 1.71782896e-01 -2.76435949e-02 7.33675482e-03 1.68788545e-02 -1.38796315e-01 -1.50483191e-01 1.02040730e-01 1.75675692e-03 2.09223941e-01 -4.91944551e-02 -1.96789578e-02 2.78061870e-02 -1.81429148e-01 2.45003705e-03 -9.20854742e-04 -2.10921749e-01 -4.96064872e-03 -1.04366429e-02 1.27925366e-01 -4.44626696e-02 1.41368121e-01 -3.80368838e-05 8.60591158e-02 4.24173241e-03 7.59951770e-02 3.31331342e-02 5.24562923e-03 -2.11406589e-01 1.48448851e-02 -2.06465111e-03 5.07597663e-02 1.83085836e-02 -1.52492356e-02 -1.90051422e-01 -8.87377858e-02 -8.25145170e-02 -2.10324046e-03] [-0.13454722 -0.02511201 0.0082938 -0.21785726 -0.00513988 0.00163283 0.05207148 0.17585777 0.01764597 0.00421115 0.15469725 0.00331683 0.00406566 -0.05536002 -0.00224807 -0.15378566 -0.02266304 0.16043982 0.18096815 0.03632581 0.01037905 -0.1076967 0.0006207 -0.04247468 0.00537274 -0.00499981 0.00990536 -0.01006199 0.02465502 0.10557904 0.15303528 0.12813665 -0.01429617 -0.0282256 -0.22622389 0.10283756 -0.0023282 -0.01767156 0.01069195 0.10952435 0.17049086 0.00829571 -0.00156182 0.01216745 -0.17688979 0.10722554 -0.00310408 -0.00929593 -0.00590208 0.01693817 0.0107767 0.00395332 0.00276236 0.00205812 -0.00703305 0.01233284 0.22624971 -0.02116239 -0.0012949 -0.00347946 -0.05042842 0.13855803 0.1697004 0.001878 -0.13138774 -0.19172806 -0.01136028 0.05966547 -0.00145537 0.09417266 0.08887815 -0.19618924 0.00368221 0.01061011 0.0021593 -0.0051534 0.00260592 -0.1346866 -0.00173408 0.15984559 -0.0155698 0.00319653 0.01401133 0.12861243 -0.02485557 -0.05570952 -0.14425161 0.01237106 -0.01312537 -0.14647926 0.00636723 0.08779321 -0.02952773 0.00218023 -0.00968218 0.02696214 -0.15911327 0.12985301 0.00793737 0.21018584 -0.10671403 0.03696059 0.07330544 -0.06618641 -0.00050418 0.00125806 0.03690144 -0.0074578 -0.0097764 -0.11695679 -0.08890601 0.20633115 -0.0015385 -0.16666012 -0.00672588 0.04705025 -0.01220893 -0.01335786 -0.11853807 0.00907943 0.00831849 0.0807162 0.01712303 -0.00290738 -0.0940246 -0.03787954 -0.08558347 0.00300111] Cos Similarity tf.Tensor(0.5697173, shape=(), dtype=float32) (128,) (128,) [-1.62550062e-01 -1.26560450e-01 -6.96924105e-02 1.13855768e-02 1.62881482e-02 -1.21562131e-01 -1.19741544e-01 1.38695776e-01 1.08421706e-02 -2.35404726e-03 -1.99128285e-01 1.73474080e-03 -5.61807770e-03 9.82633904e-02 1.90175883e-02 8.94534662e-02 1.14737367e-02 1.70787349e-02 -1.02770522e-01 -1.11006491e-01 -3.21951695e-02 -1.51288822e-01 1.85525697e-02 -8.16316064e-03 1.86521076e-02 3.53066297e-03 1.52132139e-01 -8.98164790e-03 -8.92056301e-02 -2.98254490e-02 -1.07609844e-02 2.10527152e-01 1.47355357e-02 -1.63249634e-02 -1.55856814e-02 -8.34824331e-03 1.51318479e-02 1.51211545e-01 8.30524601e-03 -9.60416496e-02 -2.24591047e-02 -5.19652991e-03 -2.54333718e-03 -3.70525452e-03 1.25738591e-01 1.06466040e-01 -3.93496267e-02 -4.60470608e-03 1.42588059e-03 1.29730115e-02 6.53805910e-03 8.68141372e-03 -1.65781826e-02 3.06950463e-03 -1.12249525e-02 1.39257750e-02 -1.85843065e-01 -9.82918032e-03 -1.46125974e-02 -7.46737351e-05 -2.75726635e-02 3.44076077e-03 1.65879820e-02 -2.33966601e-03 -1.87137529e-01 1.98757991e-01 -8.80044885e-03 -5.57445548e-02 1.00907516e-02 -5.97650558e-02 -9.62170959e-03 -2.04948083e-01 -1.75852887e-03 1.51779046e-02 1.15070003e-03 1.11530451e-02 8.78415927e-02 4.72699776e-02 7.74815306e-03 1.32624045e-01 -1.58709865e-02 -1.59080811e-02 2.23196391e-03 -8.65785182e-02 -2.39119947e-01 1.33255109e-01 1.57723144e-01 4.09328099e-03 -8.46269913e-03 2.37566885e-03 9.44630355e-02 2.09458813e-01 -1.58961825e-02 4.82444931e-03 1.40405037e-02 2.25487515e-01 -1.06482901e-01 -1.99052721e-01 -2.42312183e-03 3.36018577e-02 -1.71391219e-01 -1.13909720e-02 1.19507492e-01 -3.58025469e-02 -7.01269927e-03 3.79126798e-03 1.42747521e-01 -1.35187544e-02 -2.31727608e-03 -1.45053655e-01 7.55996481e-02 7.48469532e-02 5.69405500e-04 -1.85657009e-01 -4.17985022e-03 1.51996855e-02 1.02204196e-01 5.87887270e-03 1.81451902e-01 -1.86230205e-02 5.18438732e-03 1.32534504e-01 -1.37421563e-02 -1.48609579e-02 -6.07140362e-02 8.09430331e-02 4.52191308e-02 1.40252092e-03] [-0.0946286 0.16982283 -0.10193374 0.20172359 0.00395693 0.09037313 0.21109295 0.03723173 -0.00076748 -0.01482798 0.1359209 -0.00735533 -0.00086624 0.16607511 0.05520764 0.1908904 -0.01426115 0.00307373 0.19970234 0.08818559 -0.10998392 -0.06002327 0.15834107 0.17230593 -0.02294389 0.00504463 0.12336097 -0.00589754 -0.01300844 -0.16420689 0.04160164 0.10415593 -0.00889065 -0.01184078 0.13498035 -0.00626812 0.00368477 -0.1259844 0.00062208 -0.14475916 0.02756426 0.00560616 -0.00272469 0.00350285 -0.09581144 0.00113766 -0.01012033 -0.01930344 -0.00502881 0.00577852 0.0030416 0.00108086 -0.01201622 0.00184877 0.00365366 0.00440921 0.08122746 -0.00615364 -0.00897782 -0.00822083 -0.00064625 -0.04810664 0.12075843 -0.01081902 0.09022295 -0.01914994 -0.0081841 -0.03402463 -0.00645446 0.0500818 -0.1008363 -0.18204457 -0.00187031 0.00811179 0.00327786 0.00613161 0.00086357 0.0618584 0.00596949 0.19114307 -0.0064229 -0.02285613 -0.00676472 -0.12647185 -0.03647706 0.20605811 0.09103373 0.00824525 -0.0086353 -0.16139814 -0.10725602 -0.1957867 -0.01474945 0.00625655 0.00413011 0.02550306 -0.13908617 0.20352468 -0.00386667 0.05709179 -0.18738858 -0.06826045 -0.07358796 -0.17254673 -0.02459622 -0.00609368 -0.06389185 -0.00691736 -0.01836512 0.075572 0.05002685 0.13944447 0.00168659 -0.14268148 0.0058069 -0.03452877 0.13777454 -0.00585766 -0.08816256 -0.03173931 -0.00101396 -0.13907216 0.00551619 -0.00974961 0.15751748 0.0091125 0.01034827 -0.01136508] Cos Similarity tf.Tensor(0.037916817, shape=(), dtype=float32) (128,) (128,) [ 0.0101825 -0.02425232 -0.16538244 0.04566425 -0.01052054 -0.2304348 0.15857743 0.10330378 0.00348597 -0.00691962 0.03173341 0.00230913 -0.00060599 -0.11709316 0.04185452 -0.17909648 -0.01067417 -0.10302108 0.13946658 -0.2045431 0.0294727 0.11036804 0.03994684 0.14621353 -0.00576651 -0.00075091 -0.12978737 -0.00871477 -0.1357387 -0.05690117 0.1572578 0.04105082 -0.00762136 -0.00660786 0.1051265 -0.00770421 -0.01826346 -0.14917883 -0.00242073 -0.08078681 0.01347034 0.00802251 0.00718799 0.01399696 0.00655265 0.00082811 0.1716182 -0.00274739 -0.00515746 0.00613274 0.01234448 0.00808026 -0.00876825 0.00981793 -0.00209396 0.01356028 0.18995741 0.00588461 -0.00188385 0.01774914 0.00351466 -0.16555297 -0.15486753 0.00628689 0.17762429 -0.21795776 -0.00383355 0.03635188 -0.00881305 -0.10376453 -0.1637378 0.10418333 0.00719128 0.00648636 -0.00566388 -0.00168775 -0.09580318 -0.13307002 0.0084384 -0.02813887 0.00399984 0.00304833 0.00315568 0.05515496 -0.00114866 0.06097211 0.09354583 0.0034287 -0.00411036 0.14182249 -0.02355676 -0.03197278 -0.01764056 0.01100727 0.00780908 0.13776928 0.00234539 0.14881831 -0.01691043 -0.10640328 -0.07031084 0.11128464 0.18875203 0.13239498 0.00445578 -0.00580428 -0.18586308 0.0365952 -0.01220595 0.16703048 0.08563431 0.05481762 0.01921778 -0.05013494 0.11097569 -0.23467669 -0.12726414 0.01667309 -0.03510671 0.0122921 0.00400592 -0.12976854 0.02916593 0.00582446 -0.00159043 0.03676683 0.02144905 -0.02309954] [ 0.02786536 0.05695485 -0.03427012 -0.16251278 -0.02892524 -0.15850946 0.16789636 -0.2101998 0.0023414 -0.00881021 0.04929903 -0.01012539 -0.00960847 -0.1351586 0.01697969 -0.14353064 -0.00837367 0.16105752 0.16100052 -0.20075324 -0.00492068 -0.12100375 0.11832685 0.10369788 -0.01700465 0.00437527 -0.11926416 0.00071341 -0.09731638 -0.20628227 0.13669956 -0.05431719 -0.00609393 -0.00322038 0.02472571 -0.00629195 -0.01606367 -0.0067158 0.00349874 -0.06820108 -0.1073982 0.00617277 0.00486286 -0.01441753 0.0907279 -0.0234484 0.1644607 0.01305799 0.01329191 0.0173297 0.01110033 -0.00204028 -0.01018543 0.01002547 -0.02545935 0.0041585 0.12735452 0.00847416 0.00030614 0.00560434 0.01215345 -0.13640434 -0.17733426 0.0130481 0.16203171 -0.04196446 -0.00351205 0.05992152 -0.0167105 -0.16304743 -0.16985108 0.18690966 -0.00208671 0.00885655 -0.02189339 0.00435451 0.11706413 -0.1593829 0.01012446 0.00519544 -0.00054003 -0.00072374 0.01330048 0.01185782 0.07844556 0.14825584 0.02416592 0.00281994 -0.00507039 0.14060658 -0.02994269 -0.14522366 0.01020348 0.00478795 0.01630154 0.09867336 0.07792019 0.15361495 -0.01407012 -0.13926314 -0.01299837 0.11309201 0.22160918 -0.06303955 0.00352854 -0.00109333 -0.19436003 0.02193542 0.00269529 0.07317991 0.16471446 0.04991944 -0.00811942 -0.01587436 -0.00113708 -0.07873128 -0.15325385 -0.01607786 -0.00672738 -0.00574246 -0.00646986 -0.11311249 0.0225852 0.00323299 -0.07250276 0.04772706 -0.06046058 -0.0149464 ] Cos Similarity tf.Tensor(0.6786914, shape=(), dtype=float32) (128,) (128,) [-0.20825337 0.04203305 0.02750956 0.0261792 0.00066599 0.15545431 0.1632456 0.0134739 0.0050458 -0.00459366 -0.00622216 -0.0281502 0.00247849 0.08282924 -0.01134696 0.15028822 0.00547379 0.06842581 -0.0752399 -0.06664418 0.14134616 -0.14911906 -0.06437951 0.00385058 -0.01485477 0.00327878 0.14124823 -0.00712377 0.240302 0.09648874 -0.11069975 0.0139164 -0.0026707 -0.00297669 0.13336425 -0.00670722 0.02091285 0.17174785 -0.00820688 0.00587271 -0.03573662 0.01452352 -0.00483673 0.01079636 -0.2287212 0.24324322 0.10709788 -0.00397759 0.00764351 0.00553709 0.00091579 -0.00168191 0.0134645 0.00578515 0.00820665 0.00272253 -0.09137861 -0.00679417 -0.0134749 -0.00468967 -0.0191796 0.06501707 0.09493608 -0.02300294 -0.07929239 -0.08630083 0.00060567 0.1466568 0.00335998 0.1676309 0.00506622 -0.04671929 -0.00525013 0.00629786 0.00984243 0.00258948 0.03205343 0.16109678 -0.00417373 -0.22825451 -0.00235051 0.00390805 -0.00278496 0.06188502 0.0227137 -0.05628963 -0.01957634 0.01119329 -0.00430605 -0.02079882 0.06368738 -0.13996096 -0.03859406 0.00500873 -0.00120141 -0.21296735 -0.17670307 0.13729763 0.00285565 0.11674945 -0.20756257 -0.16529009 -0.06643659 0.2125347 -0.01632562 0.00423643 0.00737346 0.00788345 -0.00224444 0.19244608 0.07288433 0.12636812 -0.00478581 -0.18414816 -0.00195111 -0.05122287 0.01837942 0.00211691 0.05088015 -0.0067054 -0.01085446 -0.02129713 0.01453936 -0.01268467 -0.04155935 0.0207312 0.0804533 -0.00759175] [-0.20742354 0.04427274 0.05202254 -0.0836696 0.03300525 -0.02270348 0.09371123 0.06098166 0.02381487 0.01496067 -0.06059806 -0.00861994 0.03709285 -0.08929023 -0.04966961 0.18049918 0.04168335 -0.13159548 0.02422266 -0.05515004 -0.0979728 -0.1306863 -0.09242398 0.03479217 0.03253681 0.01001144 0.0815606 -0.0161473 0.2112193 0.12843359 0.09688492 -0.06859899 0.0186317 0.02237476 0.11789662 0.03691041 0.05718371 -0.07756565 -0.03823069 0.09283154 0.02483468 0.02925034 0.00794846 0.02087381 -0.18111393 0.17114736 0.02439122 0.03674867 0.02518948 0.02214976 0.00786423 0.00100735 0.04911914 0.0120536 0.0295668 0.02691082 0.18082774 -0.00169032 0.00383745 0.04303084 -0.16680443 0.16171685 -0.11873503 -0.02667942 -0.15520813 0.1187653 -0.0046567 0.15426762 0.01175147 -0.10954958 -0.11039065 -0.09629714 0.00278684 0.04895393 0.01197025 -0.00470068 0.02485678 0.17288832 -0.01058682 -0.12938024 -0.00052639 -0.0473437 -0.01611582 0.09604881 0.16311511 0.1219495 -0.07927164 0.01738038 0.02843443 -0.10069785 -0.11132706 -0.18923165 -0.01578417 0.01669132 0.01546236 0.0197523 -0.19411725 0.06029021 0.01203196 0.01488426 -0.13580468 -0.1422092 -0.15265752 -0.00129775 0.0090004 0.01502983 0.03119643 -0.01849391 0.01265657 0.07055543 -0.0728439 0.14937466 -0.00081681 -0.15320198 0.01282591 -0.1245169 -0.12710042 0.03814699 0.09039164 0.06005896 -0.02769847 0.1004481 0.05163525 -0.00029501 0.20636156 -0.01686522 -0.03078147 -0.01246864] Cos Similarity tf.Tensor(0.47070807, shape=(), dtype=float32) (128,) (128,) [ 1.25511378e-01 2.51701642e-02 -1.49487527e-02 -8.36059079e-02 -1.93255823e-02 -5.07652946e-03 -1.59809470e-01 -9.51555818e-02 -8.01531319e-03 -2.36778916e-03 -1.61582887e-01 8.50770902e-03 1.58198066e-02 -1.89108297e-01 2.03290544e-02 1.42398566e-01 1.29614966e-02 1.51560068e-01 1.97582915e-01 -3.35799791e-02 -7.74830133e-02 -7.13988245e-02 -1.41853496e-01 -1.13913320e-01 2.92303436e-03 -2.94282124e-03 1.47961408e-01 -2.12534843e-03 1.52661325e-02 -1.39018089e-01 -1.19797319e-01 9.40381885e-02 7.10961060e-04 1.48242328e-03 8.17588046e-02 1.18743693e-02 -2.45120493e-03 -1.36578396e-01 1.81778090e-03 -6.15428686e-02 1.11420847e-01 -3.71184712e-03 2.89972872e-03 -4.48217802e-03 3.46187092e-02 -4.02463004e-02 7.03236163e-02 1.03550227e-02 1.52667733e-02 1.34027991e-02 1.24343475e-02 2.65846873e-04 -2.12253109e-02 5.23418561e-03 -2.10091714e-02 1.74704322e-03 1.39978573e-01 -9.28510504e-04 8.68414238e-04 -8.17253813e-03 -8.04195628e-02 -1.19173184e-01 -8.98855701e-02 3.49946072e-06 -1.92024618e-01 1.19690914e-02 -1.35835288e-02 -1.51268184e-01 -2.00927909e-02 6.86481968e-02 -9.75615811e-04 -6.80959225e-02 -8.13876628e-04 4.81562270e-03 -3.19779268e-03 5.96709270e-03 -1.98027939e-01 9.04302150e-02 -4.34545800e-03 1.81644037e-01 9.30374605e-04 1.16591598e-03 -6.48831669e-03 -8.66706599e-04 -7.55143315e-02 1.68387875e-01 9.35489461e-02 1.56645267e-03 -1.70199538e-03 4.13898900e-02 -1.66587770e-01 1.99237153e-01 1.02329568e-03 -4.71450482e-03 -1.18368119e-02 -5.29101351e-03 -1.47099895e-02 -2.02221200e-01 7.18984194e-03 1.92506179e-01 1.75606787e-01 1.36800319e-01 -2.18387544e-02 1.40522346e-01 -1.42884138e-03 -1.91965587e-02 1.85266599e-01 -4.18902468e-03 8.96023400e-03 5.52082099e-02 1.79984588e-02 1.19571596e-01 -3.86874727e-03 -9.01620165e-02 2.17054375e-02 -5.23992144e-02 -1.65435657e-01 -1.37572810e-02 1.77418008e-01 5.30622900e-03 2.77920713e-04 1.31749481e-01 2.01367792e-02 2.31893570e-03 -1.74873501e-01 5.66684529e-02 4.24118005e-02 2.75743636e-03] [ 9.97030586e-02 2.55316943e-02 -3.30513939e-02 -7.31728077e-02 -1.07241068e-02 -3.23376502e-03 -1.60925359e-01 -9.56459865e-02 -9.28725023e-03 -4.40413039e-03 -1.68738857e-01 6.04680832e-03 2.09386069e-02 -1.83722496e-01 1.80352964e-02 1.53451726e-01 1.93754751e-02 1.61817268e-01 1.97699979e-01 -6.26350194e-02 -9.76113230e-02 -1.25738382e-01 -1.28087133e-01 -1.00744814e-01 1.46592343e-02 -1.76894513e-03 1.44200772e-01 3.91875999e-03 -4.65663150e-03 -1.35453403e-01 -1.27431378e-01 8.48458931e-02 -6.98139018e-04 2.16367072e-03 7.99816996e-02 7.55817862e-03 6.12276560e-03 -1.24355435e-01 6.81708241e-03 -4.94151153e-02 1.03505194e-01 -4.86559607e-03 1.50145858e-03 -7.12586520e-03 5.91450417e-03 -5.17967604e-02 -3.75836380e-02 1.33293457e-02 1.84750259e-02 1.41618820e-02 1.28185321e-02 2.27893307e-03 -2.53033545e-02 5.46877971e-03 -2.59649958e-02 2.75234552e-03 1.36179417e-01 -8.23088805e-04 3.63778416e-03 -6.91586826e-03 -8.52724388e-02 -1.08354844e-01 -1.20349914e-01 2.63624243e-03 -1.97513118e-01 3.87467146e-02 -1.35486582e-02 -1.46417350e-01 -1.47843650e-02 3.95767987e-02 1.34214677e-03 -9.84612703e-02 -1.58448049e-04 6.88384427e-03 -1.88744243e-03 7.03207171e-03 -1.99780628e-01 1.04372896e-01 -5.78807853e-03 1.83316857e-01 6.94557186e-03 1.56210642e-03 -6.73164940e-03 -4.75461408e-02 -8.95027518e-02 1.53669849e-01 1.28276944e-01 -2.05930439e-03 -2.70398404e-03 2.20015142e-02 -1.41374081e-01 1.95429206e-01 7.58894114e-03 3.64469271e-03 -1.34730851e-02 -1.12736635e-01 -2.75058765e-02 -2.13930085e-01 7.71248573e-03 1.89978972e-01 1.57879278e-01 1.29459769e-01 -4.04262841e-02 1.44025892e-01 1.04475545e-03 -2.33784486e-02 1.83931544e-01 -2.81240582e-03 1.64508205e-02 2.29749363e-02 1.61836762e-02 1.19481556e-01 -3.72194190e-04 -7.12485984e-02 1.48743559e-02 -7.09913149e-02 -1.64392754e-01 -5.31528750e-03 1.12717912e-01 1.46172289e-02 -3.10651562e-03 1.35385141e-01 2.41004042e-02 9.05002747e-03 -1.80338532e-01 6.55866563e-02 1.54964495e-02 4.80632717e-03] Cos Similarity tf.Tensor(0.97567713, shape=(), dtype=float32) (128,) (128,) [-0.01771775 0.23521516 0.00110797 0.03523994 -0.01428777 0.01809608 -0.06884637 -0.14100482 0.00164792 0.0045935 0.00289956 0.00809582 0.0247722 -0.09398133 -0.07027749 0.0612303 0.0040415 -0.0280416 -0.15324861 -0.06211808 0.23536472 -0.13243456 -0.21022108 -0.04732921 0.02894024 0.01729704 0.1018593 0.00344098 -0.21268858 0.12045263 0.097153 0.07920733 -0.00167875 -0.0083116 0.1938986 0.08627461 -0.01665481 -0.10388449 0.0101531 0.0287569 0.12478776 -0.0029799 0.00463123 0.01141136 -0.20374653 0.08387056 -0.14593127 0.01687133 0.02422771 -0.00124353 0.00707556 0.00171388 0.00035186 0.00597191 0.00673741 0.00180636 -0.08090705 -0.00468956 0.00386652 0.02678343 -0.22250189 0.20871194 0.10753717 -0.03442612 -0.175696 0.08051164 -0.0236312 -0.13537651 -0.013133 -0.00300621 -0.11118531 -0.21249789 0.00211762 0.00539481 0.01881697 0.01719332 -0.02009464 -0.06976089 -0.00359565 -0.11333832 0.01762169 -0.00417124 0.00827232 0.1233754 -0.14373793 0.14730674 0.02137876 0.00568766 0.01065794 -0.10497078 -0.09296106 -0.13619336 0.00869683 0.00484808 -0.00180696 0.12721854 -0.05635082 -0.01547077 0.0139514 -0.11342783 0.13837664 0.11874417 0.0301502 -0.04508008 0.01365062 -0.03120447 0.1076121 0.03092969 0.02238014 -0.16275305 0.10508339 0.0154243 0.02912656 -0.07756615 -0.02553768 -0.14539845 0.01100341 0.01838423 -0.09133875 -0.00801161 0.00356576 -0.07352502 0.02877505 0.02365922 0.07020605 -0.02985363 0.08728942 -0.01392634] [-1.90325000e-03 2.05404177e-01 6.31082952e-02 1.61043573e-02 -1.26877595e-02 2.79226195e-04 4.44662869e-02 -9.03608650e-02 3.75420437e-03 5.07444562e-03 -6.45626187e-02 7.64404843e-03 1.61487572e-02 1.03523873e-01 2.90476251e-02 3.11238114e-02 -9.25668981e-03 -1.74934283e-01 -1.57387942e-01 4.00080271e-02 1.84634402e-01 -9.66823623e-02 -1.92927167e-01 -1.09484248e-01 -3.48795368e-03 1.31059820e-02 3.17021087e-02 6.19507628e-03 -1.57155007e-01 1.65834963e-01 5.11377268e-02 5.29724583e-02 4.98772832e-03 1.19410539e-02 2.01800868e-01 1.33362859e-01 -1.55557515e-02 -1.96576938e-01 9.56953503e-03 1.37877584e-01 1.02148935e-01 6.32218458e-03 1.02320248e-02 2.39434913e-02 -1.65888175e-01 9.78727564e-02 -1.80827305e-02 3.17053124e-02 2.12129410e-02 -2.19416199e-03 1.27244582e-02 1.70631707e-03 -2.07161109e-04 4.53698961e-03 2.06203256e-02 -9.09497123e-03 -6.32054135e-02 1.70499703e-03 8.69280100e-03 2.39485335e-02 -1.98820919e-01 2.11802199e-01 8.67235661e-02 -4.40630987e-02 -1.74174279e-01 8.94835368e-02 -3.18931037e-04 -1.09033793e-01 6.76610321e-03 3.56749408e-02 -9.26539600e-02 -1.69463798e-01 2.72175390e-03 4.50031366e-03 2.09135562e-02 3.59826386e-02 -5.78665687e-03 -7.64930397e-02 7.77798286e-03 -6.75196648e-02 2.65129805e-02 -1.50648563e-03 4.04775084e-04 1.69908643e-01 -1.68243423e-01 1.94760382e-01 -6.47454336e-02 1.44432988e-02 1.44444481e-02 -2.14452863e-01 -3.07760555e-02 8.18696395e-02 2.26965360e-02 3.33394948e-03 9.20796068e-04 -1.11545034e-01 6.25776174e-03 4.90203984e-02 1.88854206e-02 5.77912852e-02 1.38185054e-01 1.46100223e-02 4.02036309e-02 -4.17060666e-02 7.77324056e-03 -2.05626041e-02 -8.84188712e-02 2.45176554e-02 1.47780636e-02 -1.21222369e-01 9.24880356e-02 1.81948423e-01 3.10241878e-02 -1.22967020e-01 -1.54168755e-02 -1.37553498e-01 -7.51439780e-02 1.58415642e-02 -1.85586944e-01 1.10574327e-02 -8.13622121e-03 -4.98211607e-02 1.57080293e-02 -2.59140343e-03 9.84062906e-03 -6.31874576e-02 8.16888660e-02 -7.99987186e-03] Cos Similarity tf.Tensor(0.7714061, shape=(), dtype=float32) (128,) (128,) [-0.16459095 -0.00074293 -0.08734162 0.0895806 -0.02054956 0.08553347 -0.16481349 -0.02109585 -0.00338031 -0.00913238 -0.02644001 -0.0203079 0.00237472 -0.01308907 -0.11321498 -0.11537819 -0.01377692 0.02726114 0.11766729 0.12321365 -0.10103302 0.17112683 -0.13446666 0.00846326 -0.02087023 0.00177181 0.0489359 -0.02627747 0.05872761 -0.1067518 0.16873299 -0.08621524 -0.00347525 -0.01069764 0.1130122 0.01365873 -0.0031622 -0.13256931 -0.0025373 -0.17783023 -0.04108812 -0.00263131 -0.01201498 0.00249598 -0.161767 -0.19147016 -0.14548633 0.0021182 0.00740874 0.00709403 0.00612946 -0.00608229 -0.0284123 0.00502201 -0.01658097 -0.00189707 -0.1901999 0.00127724 0.00053042 -0.01609173 0.1456497 0.02883994 0.15761577 -0.0281576 -0.14733407 0.13519694 -0.01396088 -0.01325478 -0.03360153 -0.17384742 0.14050862 0.10179739 0.00580786 -0.0042917 -0.00320148 0.01056615 -0.13943109 -0.10109763 -0.00406003 -0.19537236 0.00270218 -0.09046356 -0.03925937 -0.13712153 0.10044705 0.03496443 -0.01375993 0.00409075 -0.01118593 0.09278488 0.15159272 0.06764912 0.00716263 0.00228101 -0.01372026 0.05297487 -0.02956922 -0.21557775 -0.0086468 -0.15240727 -0.19193384 0.09937554 0.09984646 -0.01205471 0.01071889 -0.00229557 0.02385586 -0.00359853 -0.02977735 0.0961706 0.01321817 0.14704223 -0.01460937 -0.03431387 0.13397577 0.10677534 0.07849254 0.00494962 0.1533869 -0.00665753 0.00562804 -0.15293297 0.01598985 -0.0012169 0.11261573 0.04873111 0.10191094 -0.00092913] [-1.26515657e-01 -1.13147199e-02 -1.07826710e-01 3.39826718e-02 -2.16463767e-02 1.05793081e-01 -1.72952801e-01 -7.25372054e-04 -7.50403572e-03 -4.22104495e-03 -1.50013324e-02 -1.98847894e-02 6.48997026e-03 -9.03141871e-02 -1.38822421e-01 -1.20832205e-01 -1.60638001e-02 -3.93035673e-02 1.31416529e-01 -2.12265551e-02 -1.20188318e-01 1.30665809e-01 -1.49741486e-01 -3.85936978e-03 -7.74322636e-03 1.84187735e-03 1.03402719e-01 -2.78679822e-02 1.33421883e-01 -1.25033930e-01 1.51687980e-01 -4.01861705e-02 -3.59088974e-03 -5.94856311e-03 8.46687779e-02 8.04172456e-03 -7.74381333e-04 -1.22610122e-01 -5.99670049e-04 -1.66480526e-01 6.21721968e-02 -1.87591847e-03 -1.24345869e-02 -8.34958069e-03 -1.51402250e-01 -1.21484749e-01 -1.61116868e-01 -5.33187820e-04 1.13292867e-02 6.31349802e-04 4.42654919e-03 -3.93387862e-03 -1.53711597e-02 2.54159700e-03 -2.25004163e-02 -1.12482095e-02 -1.96877554e-01 3.55698308e-03 -1.68355496e-03 -1.59684494e-02 1.40244320e-01 2.57534795e-02 9.74777192e-02 -2.87539493e-02 -1.49153769e-01 1.24671221e-01 -2.58052349e-02 -7.92169129e-04 -4.52733785e-02 -1.87172070e-01 1.16525039e-01 5.73984012e-02 4.62995842e-03 -3.89335793e-03 -1.95738161e-03 7.27276783e-03 -1.15553275e-01 -9.17904302e-02 -4.55167145e-03 -1.94565997e-01 -2.03083604e-04 1.19631127e-01 -4.93830107e-02 -1.29414380e-01 1.09043181e-01 1.16444463e-02 -6.18196353e-02 3.09496163e-03 -8.67444649e-03 3.15203294e-02 1.59682691e-01 8.49458352e-02 -1.10075409e-02 4.60517220e-03 -7.39264349e-03 1.21698849e-01 -3.95222604e-02 -2.24312276e-01 -9.90367960e-03 -1.79729983e-01 -1.93500668e-01 1.08885489e-01 1.54624000e-01 3.39388810e-02 1.56415813e-02 -7.65904086e-03 5.35709970e-02 -1.61532115e-03 -2.42334548e-02 7.86614344e-02 2.88443919e-02 1.49504781e-01 -2.21215896e-02 -4.58539724e-02 1.35791332e-01 8.16490725e-02 8.18479508e-02 9.27064195e-03 1.56615913e-01 -3.52237816e-03 1.81697332e-03 -1.59700036e-01 1.13007398e-02 3.99264554e-03 1.14705026e-01 2.01581977e-02 1.21856630e-01 -3.40440194e-03] Cos Similarity tf.Tensor(0.92818856, shape=(), dtype=float32) (128,) (128,) [-1.63101524e-01 1.07792400e-01 8.97525549e-02 -1.13293819e-01 -7.08125823e-04 -2.17544939e-03 2.32615657e-02 7.15544373e-02 -6.53028022e-03 -8.63584410e-03 -7.31182545e-02 6.61687879e-03 -1.57125741e-02 -3.87471616e-02 5.88331372e-02 1.51466861e-01 1.71354227e-02 -1.36578560e-01 8.75642598e-02 -5.92304766e-02 -1.21589892e-01 -5.89600168e-02 1.93381142e-02 9.17663947e-02 -6.84924377e-03 -1.55791559e-03 1.10008962e-01 -2.38974672e-03 -1.89577237e-01 3.57845649e-02 -9.14087817e-02 2.00820148e-01 1.58778392e-03 -8.53220653e-03 -1.88364819e-01 -4.06616554e-02 -8.73717666e-03 1.88105494e-01 -1.21691870e-03 4.60042097e-02 -1.96431607e-01 -7.42036663e-03 1.04655314e-03 -1.34867392e-02 3.07215303e-02 4.46168408e-02 3.02536599e-03 1.64771769e-02 1.41954171e-02 -1.92917697e-03 7.27058668e-03 3.05359345e-03 1.19233318e-03 1.02310218e-02 2.11916603e-02 9.85164661e-03 -1.05372883e-01 2.56028995e-02 2.18739863e-02 4.67740325e-03 9.09881890e-02 1.99126434e-02 -6.96758106e-02 4.14709153e-04 2.01654568e-01 -1.62929118e-01 1.41521310e-03 -1.38972640e-01 3.65934824e-03 -1.22763045e-01 1.60986394e-01 1.18723102e-01 9.98788513e-03 2.08098888e-02 -6.51996303e-03 2.64376272e-02 6.76868558e-02 -1.38583928e-01 3.47027183e-03 2.08951067e-02 4.93181031e-03 -1.04099931e-02 -1.87327303e-02 1.77221656e-01 -8.02472532e-02 1.69619128e-01 1.15506522e-01 2.06030514e-02 -9.71295405e-03 1.08780757e-01 -1.76622987e-01 -8.01760629e-02 -1.42765045e-03 1.34193012e-02 -2.61702971e-03 -1.84961006e-01 -4.66189757e-02 -3.35973613e-02 -2.63698138e-02 3.62042151e-02 1.91765875e-01 -1.87459841e-01 1.96186483e-01 1.76736489e-01 1.20520615e-03 1.01614324e-02 -1.53813109e-01 1.85851250e-02 9.52921622e-03 -2.69552805e-02 -1.79396108e-01 1.28427651e-02 6.64654886e-03 1.66910049e-02 2.40815207e-02 -1.70589894e-01 3.41504775e-02 -1.92309339e-02 1.52615428e-01 -2.51210500e-02 1.63430311e-02 5.60565777e-02 2.03379653e-02 -1.82834265e-04 -5.70440143e-02 5.66345304e-02 2.94440221e-02 -4.33139765e-04] [-1.55775100e-01 -4.33015674e-02 -4.88678589e-02 -1.77538067e-01 -5.43754082e-03 -2.41339598e-02 1.64153680e-01 9.48261470e-02 5.11488272e-03 -8.39204621e-03 -2.02056244e-01 -2.31646816e-03 -1.21373171e-02 1.55818701e-01 -5.28546833e-02 -7.56458640e-02 -4.40703752e-03 -1.30876705e-01 3.66139598e-02 3.87234613e-02 -1.91616789e-02 1.83338381e-03 -7.49275507e-03 6.69190288e-02 -1.74538177e-02 4.34799166e-03 1.51514068e-01 -3.96339707e-02 -1.93933114e-01 -9.91717726e-02 6.95325248e-03 2.10363835e-01 -1.90122258e-02 -3.68385911e-02 -2.26893127e-01 -2.86835805e-02 -3.97258550e-02 1.24279790e-01 -1.58397737e-03 -7.76446536e-02 -1.88032240e-01 3.65058589e-03 -1.28983203e-02 -1.93873513e-02 1.68927182e-02 7.20655844e-02 2.91094873e-02 9.71063133e-03 8.18357710e-03 1.76387671e-02 1.41863638e-04 2.73672095e-03 -2.54693944e-02 4.47598519e-03 -5.00023505e-03 1.52028017e-02 -1.07706420e-01 8.52752943e-04 7.37913745e-03 -7.09247077e-03 -9.82024241e-03 1.55734746e-02 1.95936337e-01 -1.75165587e-05 1.82380512e-01 -1.47101745e-01 -1.04033779e-02 1.36728764e-01 -5.88850398e-03 -1.78931728e-01 1.25210255e-01 1.53607473e-01 -3.64375046e-05 1.93284266e-02 -2.16157213e-02 1.82200298e-02 -1.38884202e-01 -1.21550132e-02 -3.89110995e-03 6.57878146e-02 -1.52921013e-03 2.48803687e-03 -1.06378244e-02 1.46433979e-01 3.79195921e-02 1.43264560e-02 6.88435808e-02 1.07239783e-02 -2.00570207e-02 6.73180167e-03 -1.79658547e-01 1.38223037e-01 -1.13365809e-02 1.43049834e-02 -1.19324047e-02 1.21711090e-01 -1.22874394e-01 -1.17116526e-01 -1.46045443e-02 -1.87541753e-01 9.20102075e-02 -2.19126269e-01 1.16325110e-01 1.53014064e-01 8.07686185e-04 -1.37450388e-02 -1.87321797e-01 2.53566299e-02 -2.29503885e-02 1.06672473e-01 3.23231854e-02 -1.21103358e-02 -1.28062675e-02 -2.60159676e-03 1.14614420e-01 -1.08423404e-01 7.25652948e-02 -4.00139019e-03 3.73310260e-02 -2.31960304e-02 6.07822789e-03 -9.02550742e-02 -5.78215811e-03 -1.41203310e-02 2.39929613e-02 1.35752568e-02 5.96709996e-02 -7.89665245e-03] Cos Similarity tf.Tensor(0.5507475, shape=(), dtype=float32) (128,) (128,) [-0.1324083 0.12497016 0.0634047 0.05033005 -0.0033 -0.01206453 -0.09565149 0.08196509 -0.01061791 -0.00592832 -0.18359047 0.01205762 0.02987412 0.04183652 -0.00035811 -0.04118562 0.01866614 0.13663718 -0.19823623 -0.07065839 0.058362 0.05181076 0.06831119 0.12797159 0.02670587 0.00955401 -0.13138692 0.00672107 0.11195579 0.03617253 -0.13917781 0.10071672 0.0301656 0.01643743 -0.15812539 -0.01105446 0.00311727 0.15285856 -0.0309943 0.075876 -0.17180286 -0.0010966 -0.004795 -0.00781632 0.1721678 -0.20711961 0.0130389 0.00798523 0.00391317 -0.0188069 0.00714648 0.0092276 0.01620294 0.02087671 0.02776101 0.03310914 -0.1346587 -0.00259814 -0.0086457 0.01305066 0.10865831 0.17316468 0.02466347 0.01459787 0.11613989 -0.1875532 -0.00192835 -0.05677165 0.00539108 0.18340695 0.12709835 0.14655827 -0.00517997 -0.0018832 0.00201497 0.01693899 -0.03034286 -0.0253013 0.00059515 0.11781953 -0.0130253 -0.00440217 -0.00033032 -0.02301851 0.12194073 -0.07552377 -0.04242228 0.023395 0.00118165 0.12921426 -0.10939724 -0.07175186 0.02185894 0.01884587 0.0002501 0.04034158 -0.09882283 0.04577161 0.01004076 -0.00864592 0.05868271 -0.05378347 0.07305033 -0.20917954 0.00871624 -0.0315751 -0.12684743 -0.00112815 -0.00579699 -0.1516866 0.20118648 -0.21130629 0.00576874 -0.01287534 -0.06505827 -0.18854108 -0.0158577 0.02064823 0.22798735 -0.00481769 0.00179824 0.02861919 -0.00775584 0.00242854 -0.16205412 0.1338437 -0.04138487 -0.00876386] [-1.09357543e-01 1.28204063e-01 5.88094182e-02 -3.87556516e-02 -1.91653986e-02 -1.09722756e-01 7.72155002e-02 3.64348218e-02 1.01390434e-03 -1.17627755e-02 -6.63661212e-02 -1.83003042e-02 5.72996167e-03 -1.27832890e-01 4.62074801e-02 -4.92835902e-02 4.89267986e-03 1.84277788e-01 -1.75218821e-01 -1.81914017e-01 -1.98685080e-02 1.02622941e-01 1.49650261e-01 8.37228596e-02 5.05301170e-03 1.97560852e-03 -7.36296875e-03 8.30694754e-03 -3.56761436e-03 1.61080047e-01 -1.94680154e-01 1.00775197e-01 2.19568443e-02 1.11454625e-04 -1.14256382e-01 -4.53136116e-03 4.78429999e-03 1.09771319e-01 -2.49943491e-02 2.55869571e-02 -1.90830901e-01 2.87533592e-04 -2.11829809e-03 7.72089115e-04 3.27504352e-02 -2.04867542e-01 -5.21730445e-03 -6.40210789e-03 1.07804341e-02 -1.91730689e-02 4.77409177e-03 4.78884159e-03 -3.50617990e-03 1.22155352e-02 8.21404718e-03 1.30345020e-02 1.32173494e-01 -1.95524073e-03 8.74828827e-03 5.34903957e-03 2.05180049e-01 1.80748343e-01 1.01203337e-01 1.19735422e-02 1.09734371e-01 -1.33374721e-01 2.63775419e-03 3.70708816e-02 -2.26882822e-03 1.66801125e-01 4.73361649e-02 1.69640645e-01 -9.13834851e-03 6.40617637e-03 -3.20537062e-03 2.21852995e-02 1.47232994e-01 1.22760218e-02 2.20645638e-03 -1.67538792e-01 1.60265213e-03 -5.69479913e-03 6.14251010e-03 -6.78286850e-02 1.41665190e-01 -7.94647634e-02 1.34584978e-01 1.71209387e-02 -2.31481902e-03 1.85777590e-01 -1.29974544e-01 -2.05447808e-01 -1.39363226e-03 5.18178288e-03 -5.11406781e-03 5.04519567e-02 2.81827617e-02 -2.67216060e-02 8.77173676e-04 6.07748739e-02 -7.18353167e-02 1.35111779e-01 1.54728010e-01 -1.56156465e-01 -1.60043091e-02 6.07064553e-03 -2.96703260e-02 6.21085800e-03 1.15526915e-02 1.04975549e-03 1.53390944e-01 -1.37758732e-01 1.41110281e-02 -8.49209949e-02 -5.46256714e-02 -9.87758934e-02 -1.08567327e-01 -3.90661741e-03 1.21810324e-01 -1.18441125e-02 -4.14552540e-03 1.20383345e-01 1.67594235e-02 -7.15760328e-03 -1.04453258e-01 1.03242882e-01 -9.07586962e-02 -1.01728896e-02] Cos Similarity tf.Tensor(0.6681886, shape=(), dtype=float32) (128,) (128,) [ 0.17000063 0.14431289 0.02267053 -0.08547378 0.00410493 -0.00311997 -0.08561403 0.01541289 0.00210208 -0.02926099 0.13366692 0.00450521 0.00125168 0.04729181 0.08566525 0.14473864 0.00194982 0.09661898 -0.10117997 -0.13788553 -0.10607318 0.16804704 -0.13638178 0.02864818 -0.01893933 0.00830735 -0.13060588 0.01310783 -0.16469249 0.1241449 -0.01671091 -0.00234169 0.00857903 -0.00491382 0.17603138 0.02795591 0.00219385 -0.15134801 -0.00876102 -0.04631426 0.09615196 -0.00450685 -0.00174069 0.0010339 0.12328611 -0.09369826 0.07548831 0.00920733 0.00522314 0.0114765 0.00383644 0.004181 -0.00285216 0.00647457 -0.00594685 0.00759837 0.03267036 -0.00644354 -0.00399419 0.00385629 0.14818503 -0.03511839 0.04914109 -0.00122027 -0.15678482 0.17545822 0.00503283 -0.14437288 -0.00529174 -0.10234252 -0.05404177 -0.01479806 0.00753993 0.01006867 -0.01293393 0.00317704 -0.01221925 -0.12345818 0.00163123 0.160613 0.00413847 -0.00172591 0.01021172 0.13245162 -0.1512694 -0.13969092 0.16529354 0.01134595 0.00391011 -0.16430934 -0.09875777 0.11328153 -0.00359216 0.00104357 0.00382415 0.07857832 -0.08860934 -0.1746662 -0.00424388 -0.13597421 0.14020357 -0.02510741 0.13202496 -0.15235126 -0.00915825 -0.00584546 -0.13297358 0.00760015 -0.00921613 0.17193785 0.14402303 0.13878088 0.00880723 -0.0922415 -0.02884354 -0.1599137 0.16094248 -0.02817459 -0.05044189 -0.00608189 -0.0077931 0.14736976 0.00387642 0.01738254 -0.16587438 -0.08383927 -0.05967644 0.00153077] [ 1.51615575e-01 1.33007690e-01 -1.21438187e-02 -3.54616605e-02 2.62444466e-03 -7.36180246e-02 -8.55167583e-02 2.45737582e-02 -2.58759293e-03 -2.01722067e-02 1.13929287e-01 5.24615403e-03 3.39753646e-03 5.80278113e-02 8.22690278e-02 1.81346983e-02 2.08364660e-03 1.18717678e-01 -1.31755680e-01 -1.57745123e-01 -6.11592755e-02 1.71734259e-01 -3.28975618e-02 1.68320332e-02 -3.32947224e-02 1.34003880e-02 -7.97730684e-02 6.68492680e-03 -1.15058474e-01 1.36265993e-01 -6.58698231e-02 2.06770170e-02 -1.80344185e-04 -3.72751453e-03 1.50540665e-01 3.45687531e-02 -8.66123661e-03 -1.64805800e-01 -8.60460754e-03 -1.20826259e-01 4.09197016e-03 -4.20672726e-03 3.55149154e-04 -4.90714004e-03 1.05156414e-01 8.42313170e-02 1.25653580e-01 7.52467243e-03 6.08191406e-03 1.27157671e-02 5.38764754e-03 7.80215859e-03 7.43365032e-04 7.85101019e-03 -1.00293569e-02 6.04837807e-03 4.67280895e-02 -1.28890052e-02 -3.10372701e-03 6.38062134e-03 1.65543079e-01 3.52317095e-02 1.13538675e-01 -8.29354627e-04 -1.72872677e-01 1.70983851e-01 4.06289054e-03 -1.39740527e-01 -4.58648801e-03 -9.74950790e-02 -1.23405658e-01 -4.23587970e-02 2.04686262e-03 5.45170624e-03 -6.97725825e-03 4.77521680e-03 -4.59690541e-02 -8.26417804e-02 1.35487050e-03 1.83781847e-01 8.03084695e-04 -1.57358637e-03 1.04097482e-02 1.65819108e-01 -1.65662602e-01 -1.67257711e-01 -4.60901391e-03 5.61033376e-03 -9.84022554e-05 -1.51731744e-01 -7.38603342e-03 9.59228650e-02 -2.42004916e-03 4.30330820e-03 8.11893679e-03 1.59593448e-01 5.22455610e-02 -1.39653534e-01 -4.73609334e-03 -1.35715693e-01 1.35517359e-01 -1.09539986e-01 1.26446947e-01 -1.64923951e-01 -8.74674227e-03 -1.62934568e-02 -1.84422091e-01 2.46682001e-04 -9.64113744e-04 1.47415072e-01 1.69474348e-01 1.53057054e-01 9.09060799e-03 -8.88560116e-02 3.15641426e-02 -1.84555516e-01 1.70168102e-01 -2.17460357e-02 -8.03309008e-02 3.38273967e-04 -7.27214990e-03 1.28325835e-01 -3.60999512e-03 8.87370389e-03 -1.69790760e-01 -5.68578355e-02 -4.68137637e-02 -1.44424953e-03]
Cos Similarity tf.Tensor(0.898223, shape=(), dtype=float32) (128,) (128,) [ 7.87233040e-02 3.76037434e-02 7.74443895e-02 -1.97058275e-01 2.15158332e-02 9.59832221e-02 1.88869163e-01 1.29640818e-01 -7.48610776e-03 8.80182907e-03 -2.08553374e-01 4.37426083e-02 1.10329092e-02 4.29250896e-02 -5.78164645e-02 7.06526125e-03 3.23381368e-03 -1.05536739e-04 1.10573322e-03 3.54209468e-02 -1.78255897e-03 -1.64010376e-01 1.58311069e-01 -1.54311076e-01 2.14787126e-02 6.33864384e-03 9.78644788e-02 6.31409092e-03 -1.09129608e-01 -1.44032016e-01 -1.35497466e-01 1.70862570e-01 -3.72074991e-02 3.55072762e-03 -2.78916936e-02 2.21769959e-02 4.03649509e-02 -2.67130490e-02 -3.43142003e-02 -1.35340750e-01 1.26529083e-01 1.12133613e-02 -1.68469781e-03 -5.07491268e-03 -1.22812748e-01 -2.25020200e-02 -6.64350390e-02 3.53668742e-02 1.48493024e-02 4.26239371e-02 1.97408516e-02 8.27600155e-03 4.58796956e-02 1.04015386e-02 2.34234091e-02 4.38811742e-02 -1.62990093e-01 -2.57063136e-02 4.47235107e-02 2.05280241e-02 1.10809401e-01 9.49820802e-02 1.94051221e-01 2.50730030e-02 -3.59604023e-02 1.27105400e-01 7.08144577e-03 1.60753950e-02 3.44966128e-02 1.84245840e-01 -5.97395711e-02 -1.76081315e-01 8.97014420e-03 3.21267806e-02 1.76389236e-02 2.78555639e-02 1.72334716e-01 1.63119376e-01 -2.14807354e-02 1.45716161e-01 1.68226361e-02 -5.08419387e-02 1.46022346e-02 -7.88597837e-02 -1.09231651e-01 1.67232767e-01 1.66743815e-01 2.36823969e-02 2.07564188e-03 -4.26147468e-02 -7.79419839e-02 9.14554764e-03 1.26755657e-02 2.36964952e-02 3.42337159e-03 1.91483423e-01 -1.17264703e-01 -1.69035986e-01 9.52902902e-03 -1.17430359e-01 -5.92882819e-02 -3.41699347e-02 -3.23319598e-03 -7.64815370e-03 8.12782813e-03 -4.44097705e-02 2.19936907e-01 1.56931337e-02 2.94464547e-02 -9.26284418e-02 -1.55220047e-01 1.21310644e-01 2.17469689e-02 -5.62400091e-03 -1.22378673e-02 1.40988052e-01 1.02095135e-01 -2.33447533e-02 -1.10455766e-01 1.00478558e-02 1.03657749e-02 -6.82727620e-02 4.78036515e-02 1.62535384e-02 -5.09849424e-03 7.81274363e-02 3.23423967e-02 -4.75260057e-03] [ 0.16527194 -0.08466093 0.05877342 -0.16203009 0.01204432 -0.02389791 0.13532251 0.00364124 0.01717995 0.00816991 -0.18042013 0.02072287 0.0191135 -0.12145051 -0.11197893 -0.09218794 0.02372318 0.12722114 -0.06848124 0.04127235 -0.0797917 -0.17206025 -0.04041477 -0.16999242 0.03072436 0.01253057 0.12144015 0.01459579 0.09100623 0.16820866 0.03322732 0.1663066 0.00313329 0.02574858 0.03850446 0.03198144 0.02040027 0.01803418 -0.04031454 -0.01614171 0.12212071 0.00133357 0.01126359 -0.00216344 -0.02901233 -0.06828064 -0.10301395 0.03995647 0.02315561 0.03830991 0.00748172 0.00970804 0.02002721 0.00437975 0.03005137 0.02533988 -0.1709493 0.00653896 0.0193836 0.01454912 0.15966716 -0.09333917 -0.01630964 0.03885819 0.06633495 0.06230194 0.02171417 -0.08843152 0.01447125 0.08096866 0.11677422 -0.15002492 0.00639656 0.00904683 0.01262973 0.03436606 0.01989941 0.03386786 -0.01126973 0.17698887 0.00838527 -0.00668998 0.01169244 -0.1536611 0.06336339 0.17046882 0.17749524 0.01075048 -0.0002318 0.07039186 -0.1258675 0.0937341 0.03648053 0.00188652 0.00356913 0.14670308 -0.0818781 -0.1833657 0.00765714 -0.03981232 0.17043725 0.16375023 -0.07154857 -0.1412771 0.01455953 -0.02376434 0.16803502 0.00545447 0.03750782 -0.18357898 -0.15070571 0.1544576 0.01932818 -0.0008451 -0.0230703 0.06171128 0.11214584 -0.02976322 -0.08991398 0.03020927 -0.0084498 0.17649682 0.01701265 0.00123362 -0.14160152 0.12843373 -0.06037994 -0.01566282] Cos Similarity tf.Tensor(0.56942976, shape=(), dtype=float32) (128,) (128,) [-0.08215192 0.06961303 0.04743353 0.01639258 -0.00600052 -0.13212979 -0.02231716 0.11390474 -0.00564064 -0.01749557 0.19938484 0.00759481 -0.00801566 0.18778694 -0.04251669 -0.14822778 -0.00344604 0.12598124 -0.10737115 -0.19147196 -0.13174932 0.00205072 -0.08240828 0.00613555 -0.01244192 -0.00071408 0.11843105 -0.01279952 0.03442791 0.09183415 -0.17965983 0.04890737 0.00245759 -0.01893891 0.10624433 -0.03164189 -0.01114622 -0.11090279 -0.00266407 0.17649174 -0.15744776 0.00911443 -0.00815652 -0.01612452 0.22283874 -0.09932652 0.0042857 0.01029465 -0.00646626 -0.00922693 0.00955809 0.00850953 0.00680946 -0.00052672 0.01106856 0.01238459 0.12118311 0.00772494 -0.00298504 0.00981267 -0.21671312 0.14255057 -0.09602654 -0.00704814 0.08289851 -0.1571046 -0.00442368 -0.00345181 -0.00170737 -0.18111712 -0.01248584 0.05944712 0.00106377 0.01198397 -0.00067149 -0.01678497 -0.17902918 -0.00280231 0.0051562 -0.09051526 -0.01335078 0.00431577 -0.00050083 0.18310179 0.17218272 -0.10261916 0.19028233 -0.00080657 -0.00064862 0.16348134 0.05425912 -0.06592335 0.00841239 0.01034637 0.00604084 0.19643708 0.16586877 0.06696982 -0.0077047 -0.11755487 -0.1505118 -0.2025681 0.0228277 0.04328601 -0.00120907 -0.01131152 0.03239337 0.00456281 -0.00845223 0.09491593 0.08519787 -0.10522964 -0.00231467 0.01613835 -0.01982279 -0.1132322 -0.10053442 0.00686348 -0.04919975 0.00644497 0.00045701 0.01391842 -0.00092873 -0.01282446 -0.12587415 0.01125192 -0.03054162 -0.00450577] [ 8.90362933e-02 -3.85521422e-03 -3.41299549e-02 1.74770318e-02 3.46159190e-03 -1.68282464e-01 2.38301270e-02 7.68659785e-02 -2.23550014e-03 -1.94219258e-02 1.63429126e-01 1.45196798e-03 -2.43514851e-02 7.01770335e-02 -4.65649068e-02 1.08441887e-02 -9.89025552e-03 -9.72723216e-02 -1.90663472e-01 -1.94592565e-01 1.38904853e-02 1.71428323e-01 -9.36379358e-02 -1.03096999e-02 -1.08276233e-02 1.17004821e-02 9.82117355e-02 -2.18460094e-02 -5.56582324e-02 3.27468403e-02 1.47491649e-01 1.81616411e-01 1.53789315e-02 -2.70645022e-02 6.68845102e-02 -2.67464500e-02 -1.47290286e-02 1.11108050e-02 2.65311496e-03 -8.81469771e-02 -3.86730805e-02 1.62220616e-02 -8.80480744e-03 -2.17510499e-02 2.02785730e-01 -8.16630051e-02 -1.11915879e-02 -4.85289702e-03 -1.69068121e-03 -1.93201134e-03 5.78279980e-03 -5.70295902e-04 -2.03429908e-02 -1.73963999e-05 5.82828512e-03 1.05988355e-02 2.04828545e-01 -5.15950844e-03 -9.53195058e-03 4.80311876e-03 -1.49629518e-01 4.49969247e-02 1.07409433e-01 -3.33498843e-04 9.58636105e-02 -1.80099800e-01 -8.94062687e-03 2.64755674e-02 -1.58373751e-02 -1.67978868e-01 -7.43418932e-02 1.96877822e-01 -7.65822653e-04 9.06136259e-03 -5.52633719e-04 -5.37978671e-03 -1.60063207e-01 -1.38365023e-03 1.99762266e-03 -9.80379805e-02 -1.74027029e-02 2.98872124e-03 -4.10826737e-03 1.18392996e-01 2.42361113e-01 1.87779181e-02 1.96697548e-01 7.00134365e-03 -1.16800042e-02 8.20240192e-03 -9.96366292e-02 1.35749981e-01 7.69070908e-03 5.84249431e-03 -5.15243085e-03 1.80401757e-01 5.15036809e-04 2.74272189e-02 -8.79922230e-03 -1.01401173e-01 -1.70046180e-01 -1.72229365e-01 -9.44623724e-02 -1.30846128e-01 -9.11850482e-03 -1.16498978e-03 3.38089094e-02 -3.51052801e-03 -1.25225699e-02 -1.39445379e-01 1.16466396e-01 -1.12203851e-01 8.61522916e-04 -4.48536500e-02 -2.49582846e-02 -2.01153979e-01 -1.19989328e-01 1.38523278e-03 1.68592945e-01 -5.11948997e-03 5.66312671e-03 -8.52185786e-02 1.51878158e-02 -1.29230330e-02 -1.57584727e-01 3.03090308e-02 -6.75864937e-03 -1.07088499e-02] Cos Similarity tf.Tensor(0.5813269, shape=(), dtype=float32) (128,) (128,) [-5.38187101e-02 2.28396788e-01 1.44915935e-02 -1.21755907e-02 -4.72574495e-04 -9.22732428e-03 1.04744866e-01 -1.26764596e-01 3.04409838e-03 1.56924839e-03 -1.40331551e-01 -1.47361821e-02 2.78720614e-02 9.31053460e-02 7.80030414e-02 5.85567541e-02 2.13526823e-02 3.47592607e-02 1.46597803e-01 -1.68598041e-01 3.28723015e-03 -1.30280539e-01 4.49198596e-02 -5.08865900e-02 2.72409245e-02 -4.64848988e-03 -1.05457351e-01 1.46980155e-02 -2.08672973e-05 4.93798144e-02 -2.05076098e-01 2.19494939e-01 2.29863245e-02 1.21552330e-02 6.35318086e-02 -2.69397367e-02 6.80160569e-03 -1.83406249e-02 -2.28411965e-02 -6.25684485e-02 -2.23779351e-01 -1.28921156e-03 -4.79570543e-03 3.89835192e-03 -7.70997927e-02 -9.84481126e-02 -3.22750397e-02 3.22506428e-02 2.54223123e-02 1.55961532e-02 1.16988523e-02 8.07209685e-03 -1.70769654e-02 1.19434046e-02 2.78586079e-03 -2.98575801e-03 -3.53332497e-02 2.77978764e-03 2.72868271e-03 1.97934383e-03 -3.44125926e-02 -8.52247179e-02 4.33179364e-02 -1.98289636e-03 -8.75503942e-02 1.22709967e-01 6.72041532e-03 -2.19635338e-01 3.37664882e-04 -6.12581782e-02 -4.18434925e-02 -1.03910461e-01 -4.42820182e-03 -6.56776712e-04 -1.45629169e-02 2.34594662e-02 9.27824304e-02 1.05181411e-01 1.74362073e-03 2.23497644e-01 5.81187801e-03 5.36082266e-03 9.70712863e-03 -2.44156271e-01 -1.49625301e-01 1.98912740e-01 1.54275253e-01 3.32437409e-03 1.41619623e-03 1.82707626e-02 2.88629066e-02 1.27730459e-01 1.14735859e-02 1.01400362e-02 1.82965677e-02 -4.01065610e-02 5.18331900e-02 -2.48834893e-01 -6.34199614e-03 4.93294448e-02 -5.82267530e-02 7.28993192e-02 -8.93916748e-03 -2.82768495e-02 -5.21174958e-03 1.17136165e-02 1.52417779e-01 2.09242608e-02 2.20043994e-02 -2.02159226e-01 4.48328778e-02 8.00254270e-02 5.49937971e-03 1.12109678e-03 1.38281623e-03 -4.31826245e-03 1.12163156e-01 1.18963588e-02 1.74000666e-01 -1.38829462e-02 -1.22729642e-02 2.29517922e-01 -2.70717544e-03 -1.47275962e-02 -1.24488413e-01 1.07040122e-01 -1.13707580e-01 -6.34362735e-03] [-5.38187101e-02 2.28396788e-01 1.44915935e-02 -1.21755907e-02 -4.72574495e-04 -9.22732428e-03 1.04744866e-01 -1.26764596e-01 3.04409838e-03 1.56924839e-03 -1.40331551e-01 -1.47361821e-02 2.78720614e-02 9.31053460e-02 7.80030414e-02 5.85567541e-02 2.13526823e-02 3.47592607e-02 1.46597803e-01 -1.68598041e-01 3.28723015e-03 -1.30280539e-01 4.49198596e-02 -5.08865900e-02 2.72409245e-02 -4.64848988e-03 -1.05457351e-01 1.46980155e-02 -2.08672973e-05 4.93798144e-02 -2.05076098e-01 2.19494939e-01 2.29863245e-02 1.21552330e-02 6.35318086e-02 -2.69397367e-02 6.80160569e-03 -1.83406249e-02 -2.28411965e-02 -6.25684485e-02 -2.23779351e-01 -1.28921156e-03 -4.79570543e-03 3.89835192e-03 -7.70997927e-02 -9.84481126e-02 -3.22750397e-02 3.22506428e-02 2.54223123e-02 1.55961532e-02 1.16988523e-02 8.07209685e-03 -1.70769654e-02 1.19434046e-02 2.78586079e-03 -2.98575801e-03 -3.53332497e-02 2.77978764e-03 2.72868271e-03 1.97934383e-03 -3.44125926e-02 -8.52247179e-02 4.33179364e-02 -1.98289636e-03 -8.75503942e-02 1.22709967e-01 6.72041532e-03 -2.19635338e-01 3.37664882e-04 -6.12581782e-02 -4.18434925e-02 -1.03910461e-01 -4.42820182e-03 -6.56776712e-04 -1.45629169e-02 2.34594662e-02 9.27824304e-02 1.05181411e-01 1.74362073e-03 2.23497644e-01 5.81187801e-03 5.36082266e-03 9.70712863e-03 -2.44156271e-01 -1.49625301e-01 1.98912740e-01 1.54275253e-01 3.32437409e-03 1.41619623e-03 1.82707626e-02 2.88629066e-02 1.27730459e-01 1.14735859e-02 1.01400362e-02 1.82965677e-02 -4.01065610e-02 5.18331900e-02 -2.48834893e-01 -6.34199614e-03 4.93294448e-02 -5.82267530e-02 7.28993192e-02 -8.93916748e-03 -2.82768495e-02 -5.21174958e-03 1.17136165e-02 1.52417779e-01 2.09242608e-02 2.20043994e-02 -2.02159226e-01 4.48328778e-02 8.00254270e-02 5.49937971e-03 1.12109678e-03 1.38281623e-03 -4.31826245e-03 1.12163156e-01 1.18963588e-02 1.74000666e-01 -1.38829462e-02 -1.22729642e-02 2.29517922e-01 -2.70717544e-03 -1.47275962e-02 -1.24488413e-01 1.07040122e-01 -1.13707580e-01 -6.34362735e-03] Cos Similarity tf.Tensor(1.0, shape=(), dtype=float32) (128,) (128,) [ 1.66582689e-01 9.18148905e-02 -4.94913273e-02 4.74092364e-02 -8.00365675e-03 7.41362153e-03 -1.63683817e-01 3.04192025e-02 -9.38512458e-05 -6.93202391e-03 1.46469325e-01 1.49665345e-02 8.38598143e-03 1.25148460e-01 4.39391546e-02 -8.15616623e-02 -1.45703228e-02 8.99242833e-02 1.07486673e-01 1.43202171e-01 -1.09872548e-02 -1.46142870e-01 5.96844405e-02 1.58625737e-01 1.61192007e-02 1.42309414e-02 -5.88349365e-02 1.68632399e-02 -1.75008044e-01 -1.73242971e-01 -1.22506835e-01 -8.41573849e-02 -2.63067577e-02 -1.95870921e-02 -1.97679505e-01 -3.08076292e-02 -6.13888446e-03 1.52288526e-01 -6.88987738e-03 7.80487284e-02 1.89896300e-01 5.01033431e-03 1.98683515e-03 1.64668704e-03 1.11584075e-01 1.46580338e-01 1.31805658e-01 9.18891223e-04 -4.74454509e-03 2.67898641e-03 1.55370904e-03 1.01154679e-02 -1.33136380e-02 1.16292015e-02 9.43115726e-03 8.83445144e-03 1.29857510e-01 -5.38189290e-03 2.19114707e-03 -6.41668565e-04 -1.15298055e-01 -9.87422541e-02 -7.80950263e-02 -1.82258280e-03 -2.92353053e-02 -1.50802597e-01 -1.12516191e-02 1.64379641e-01 1.04883919e-02 1.54347748e-01 -6.67730942e-02 -1.12356611e-01 1.27215385e-02 -6.58133533e-03 -4.57735499e-03 1.34956362e-02 1.16215400e-01 1.52593434e-01 6.52486412e-03 1.79563966e-02 -1.05053745e-03 2.74277688e-03 7.50845578e-03 1.05421133e-01 8.48920494e-02 1.63950160e-01 1.29574507e-01 9.46616568e-03 -6.98352745e-03 4.93296050e-02 8.90935138e-02 1.36846364e-01 -3.54861782e-04 6.87715504e-03 -1.83175236e-03 -1.01182163e-01 1.41710907e-01 -8.56076404e-02 -2.71036592e-03 -1.88943818e-01 1.39446333e-01 1.18196495e-01 -1.57889202e-01 1.65014699e-01 -1.69647555e-03 2.72068824e-03 3.66964266e-02 5.49591472e-03 6.63742516e-03 1.99326664e-01 1.07014649e-01 -8.24592710e-02 1.54666963e-03 1.65103704e-01 4.39799167e-02 -3.71945053e-02 2.53673531e-02 1.63842738e-02 -6.29155934e-02 -3.14882062e-02 -2.22952710e-03 -1.22692794e-01 -1.64308548e-02 -1.63948797e-02 -1.05129868e-01 7.55581353e-03 -3.24676670e-02 1.82054518e-03] [ 1.86923966e-01 1.27514958e-01 7.12092146e-02 -3.55711207e-02 1.55319262e-03 1.57981012e-02 -9.88581926e-02 7.65611231e-02 -3.05243302e-03 6.77107740e-03 -9.46713686e-02 7.57673150e-03 2.18568053e-02 8.42930973e-02 9.71306935e-02 -2.11069416e-02 1.86438637e-03 2.13123351e-01 1.20715193e-01 -1.67986602e-01 1.26888916e-01 -1.45358397e-02 2.40815468e-02 -2.06564125e-02 2.23201811e-02 6.24379283e-03 1.19051464e-01 1.10963045e-03 -9.02028233e-02 -1.17211305e-01 -1.49060607e-01 1.86721116e-01 1.73643418e-02 1.81684475e-02 -1.65828884e-01 6.77850284e-03 7.58696022e-03 -1.16258718e-01 -2.10215803e-02 -2.99479272e-02 1.08844712e-01 9.48920846e-03 7.49104004e-03 -1.52488602e-02 9.68191251e-02 -4.61750776e-02 -5.83797172e-02 2.71480195e-02 1.10041974e-02 1.99879892e-02 4.07351693e-03 1.18527031e-02 2.00129598e-02 1.14239547e-02 1.18184658e-02 1.41263912e-02 -1.10605359e-02 6.74787909e-04 1.79769886e-05 2.26638489e-03 -8.21736231e-02 -5.51206339e-03 1.89379111e-01 4.26984299e-03 -1.49344072e-01 -8.91325772e-02 1.60346169e-03 -3.40564479e-03 1.94206256e-02 1.38688356e-01 3.99608314e-02 -6.73726201e-02 3.06233042e-03 6.17810176e-04 -9.13848542e-03 1.00518735e-02 1.98040947e-01 -2.28226166e-02 -8.87286849e-03 7.07734525e-02 -8.64727050e-03 -5.98324975e-03 6.21693349e-03 9.64734033e-02 -2.07201093e-01 7.00801238e-02 -3.10003795e-02 1.80063657e-02 -3.02674971e-03 3.67538370e-02 -1.51098752e-03 1.95493102e-01 9.55725089e-03 3.08424607e-03 1.62012242e-02 1.88365057e-01 -7.49874935e-02 -1.66821808e-01 2.31887074e-03 1.16326198e-01 2.12450489e-01 1.28497884e-01 1.02499507e-01 4.33486477e-02 -1.28545542e-03 9.85453464e-03 1.82384118e-01 1.15394788e-02 2.54636281e-03 -1.26917690e-01 -1.62580699e-01 1.51986420e-01 9.57732741e-03 -4.68499353e-03 1.98187698e-02 5.31427562e-02 1.05203941e-01 -1.38832191e-02 -1.83058903e-01 6.29062299e-03 1.05225472e-02 1.89715162e-01 1.69762019e-02 -2.86610108e-02 -1.79815918e-01 2.71725301e-02 -1.08865149e-01 -6.33325987e-03] Cos Similarity tf.Tensor(0.17590886, shape=(), dtype=float32) (128,) (128,) [ 2.05162108e-01 -1.34023260e-02 1.15386099e-01 -3.04911472e-02 1.13884583e-02 2.19457075e-02 -1.89604372e-01 6.69326186e-02 -1.01106139e-02 -1.91798154e-05 -5.82690910e-02 2.38998160e-02 2.68619470e-02 4.14847955e-02 -3.24087637e-03 3.49569544e-02 1.85912251e-02 -9.18128639e-02 1.55479252e-01 -6.97278753e-02 -1.68958604e-01 3.89718413e-02 3.88035737e-02 -5.09058386e-02 6.62556104e-03 -1.36162015e-03 6.89396262e-02 5.74270869e-03 -7.82016963e-02 8.70258212e-02 -1.98418349e-01 4.21375073e-02 4.14406247e-02 6.47726795e-03 1.25937507e-01 9.82373115e-03 2.47274861e-02 -2.86931600e-02 -5.40216872e-03 1.37600422e-01 -1.56791866e-01 -1.80435888e-02 6.66982494e-03 1.68378390e-02 6.79306760e-02 1.72866330e-01 5.75054064e-02 6.63028390e-04 1.81554668e-02 3.14647146e-02 3.02046607e-03 5.57554653e-03 2.79069436e-03 7.45997578e-03 3.18510123e-02 -3.99760995e-03 6.85242712e-02 -1.17860967e-02 4.25702613e-03 1.14453183e-02 -3.60979214e-02 1.22095048e-01 1.50544375e-01 1.37267401e-02 -1.54830232e-01 1.01684771e-01 1.03253620e-02 1.62419319e-01 1.58445537e-02 1.35812178e-01 -1.31142512e-01 -1.73741251e-01 1.07474544e-03 3.79075073e-02 1.12715713e-03 4.34548408e-02 1.72418430e-01 4.16239798e-02 2.12800317e-02 3.27284522e-02 4.57167905e-03 1.50710288e-02 1.33707104e-02 1.78888768e-01 -1.71858206e-01 1.49147153e-01 1.93341017e-01 2.18419414e-02 9.62731708e-03 -1.24471448e-01 -6.61070868e-02 1.64563343e-01 3.82740088e-02 3.11253443e-02 1.33581387e-04 9.42152813e-02 -1.15513295e-01 -1.60927102e-01 5.62279439e-03 4.27929647e-02 1.08130440e-01 7.60460272e-02 -1.38454000e-02 7.47719109e-02 6.62668468e-03 3.30286846e-02 -8.06497708e-02 1.17602115e-02 3.47091183e-02 -9.34862252e-03 -6.68083504e-02 -2.09292144e-01 -1.41622592e-02 -1.01168670e-01 -7.15084597e-02 2.03794524e-01 1.53606370e-01 -1.69878546e-02 -1.71586081e-01 -2.37241797e-02 1.30774155e-02 9.13357064e-02 -1.63020031e-03 -1.53370919e-02 -1.44041270e-01 1.76406372e-02 -9.63799730e-02 5.82942367e-03] [-3.14249024e-02 1.71979994e-01 -7.07018049e-03 -7.74927735e-02 1.06796087e-03 -4.79451055e-03 5.31418100e-02 1.13037907e-01 -2.38741878e-02 -2.78833089e-03 -1.07815489e-01 -2.21747048e-02 4.07631416e-03 -6.93502426e-02 1.26168206e-02 1.59766734e-01 1.06395194e-02 -7.80543014e-02 1.62021533e-01 -8.68960917e-02 5.92665635e-02 -8.63417163e-02 -8.33274946e-02 -1.33260474e-01 2.50921845e-02 1.86448684e-03 8.65245089e-02 4.37997165e-04 1.69991091e-01 1.83616370e-01 -1.89579040e-01 6.91099688e-02 7.49763148e-03 2.51535624e-02 -3.94653678e-02 2.74420083e-02 3.25763077e-02 7.66547918e-02 -3.44976522e-02 4.29793522e-02 1.36304945e-01 -1.64806619e-02 -6.71149464e-03 -9.08574183e-03 -1.00940384e-01 1.04911618e-01 -2.77188327e-03 2.39962246e-02 1.77595783e-02 1.13265793e-04 1.63379288e-03 9.55476705e-03 2.01980080e-02 1.15253357e-02 3.58526334e-02 2.40991917e-02 -7.78013766e-02 3.19001428e-03 2.56248284e-03 5.34306886e-03 -2.41442602e-02 -3.04453038e-02 1.32166222e-01 1.49136214e-02 7.43162632e-03 -8.21095407e-02 -2.34560831e-03 -1.39497474e-01 1.20379459e-02 1.94070384e-01 2.25087740e-02 1.84486941e-01 9.46784578e-03 1.32699795e-02 1.95808541e-02 3.77188101e-02 1.85215741e-01 -4.05314788e-02 4.26115748e-03 1.77552059e-01 -1.46769642e-04 3.77357705e-04 5.07054199e-03 7.46660084e-02 -1.83871791e-01 -5.91388978e-02 1.19970337e-01 9.83091909e-03 -2.11957231e-04 1.01044953e-01 -2.04313304e-02 1.32319182e-01 1.16815250e-02 6.13009278e-03 -1.82923451e-02 1.38228938e-01 -1.47208452e-01 -1.79519966e-01 1.20163951e-02 1.35773882e-01 1.89557448e-01 1.69772550e-01 1.26795292e-01 8.37256610e-02 6.77719107e-03 1.96270868e-02 1.88816801e-01 1.18782083e-02 1.77954994e-02 -1.99791491e-01 1.24605618e-01 -1.66635290e-01 1.69219878e-02 -3.86777744e-02 -5.43572195e-02 1.60076797e-01 1.35418519e-01 9.95968585e-04 -1.54947534e-01 -1.02782594e-02 2.30621386e-04 -2.14348566e-02 1.66442059e-02 -2.53281649e-02 -7.92008936e-02 3.84596959e-02 -1.55224744e-02 2.77541531e-05] Cos Similarity tf.Tensor(0.36658955, shape=(), dtype=float32) (128,) (128,) [ 1.57568350e-01 -1.84135720e-01 -7.06264600e-02 1.81102321e-01 -2.14342717e-02 2.26212270e-03 -1.64976910e-01 9.93722677e-02 8.07481259e-03 -2.91075790e-03 1.38939634e-01 -6.58930745e-03 -6.29787007e-03 -2.45850924e-02 8.21994394e-02 -6.06037229e-02 1.11716974e-03 1.42794743e-01 5.67659624e-02 -1.28400162e-01 -8.11642706e-02 -8.98884088e-02 -1.57582760e-01 1.92897879e-02 -1.03993043e-02 6.63015712e-03 9.57735702e-02 3.38988891e-03 -4.04460682e-03 -6.39821216e-03 1.62967727e-01 -1.35822266e-01 -4.63362597e-03 -2.66835950e-02 -2.84345224e-02 -1.31297354e-02 3.38985398e-03 -1.06667548e-01 -1.59803161e-03 1.62568707e-02 1.16138488e-01 8.76236334e-03 -2.32998263e-02 -7.85714295e-03 -1.97186559e-01 -1.04614310e-01 -7.21670315e-03 6.37982506e-03 8.95387493e-03 -3.71107459e-03 7.86529097e-04 4.70962096e-03 2.21190718e-03 6.85375789e-03 4.28154774e-04 4.90659615e-03 -1.44913346e-01 3.90345627e-03 1.04401901e-03 -2.27113883e-03 1.67975336e-01 -3.51747312e-02 1.54553339e-01 4.31338046e-03 -6.30091950e-02 4.52098176e-02 1.21998215e-04 1.98306236e-03 -3.82948411e-03 -1.02865689e-01 1.75806940e-01 1.90381408e-01 -7.15335226e-03 9.23810061e-03 -9.19680204e-03 6.82104193e-03 -1.14222631e-01 1.21577373e-02 -3.01256427e-03 9.94240940e-02 -1.11706648e-02 -3.22800502e-02 -1.80679839e-02 -1.44287899e-01 1.16280869e-01 -4.81415614e-02 -9.96363461e-02 5.25616203e-03 -4.15695645e-03 1.05965495e-01 1.93011880e-01 5.20697609e-02 4.11185110e-03 -8.73593334e-03 8.51347297e-03 -1.99523032e-01 -8.24719518e-02 -9.93849263e-02 7.01553514e-03 1.92618817e-01 1.09772496e-01 -1.99865669e-01 1.36194438e-01 9.68402892e-05 4.97173239e-03 5.79186343e-03 -1.91138700e-01 -2.31365208e-02 -6.03757054e-03 1.20908640e-01 -1.68862805e-01 1.48846686e-01 1.25057353e-02 1.85338378e-01 6.34068251e-02 3.17884348e-02 8.68452117e-02 -8.12296942e-03 2.05174964e-02 -8.25299416e-03 -3.61571251e-03 -8.66861176e-03 3.56484973e-03 3.00417095e-03 -1.18892476e-01 8.35855082e-02 -8.31237435e-02 1.90076220e-03] [ 0.19017486 -0.20492843 -0.07996087 -0.10595786 -0.00550586 0.01287677 -0.02263582 0.08584774 0.00517774 0.00416999 0.18072207 -0.02594678 -0.0198395 -0.00539411 0.05782563 -0.12293634 0.00513444 0.12568825 0.17170668 -0.03356904 -0.06565974 -0.17749752 0.09385975 0.10728998 0.01721622 0.00408906 0.11363028 0.00779663 -0.17212431 0.20085847 0.15511762 -0.15204164 0.01965058 -0.01666801 -0.16163778 -0.03896264 0.01180394 -0.08600976 0.00160663 0.0760739 0.11686743 0.00574293 -0.01644338 0.00229151 -0.0337595 0.03669394 0.08798204 0.018743 0.01370877 -0.0037616 0.00465346 0.00174293 0.01008878 0.00839358 0.00060649 0.004119 -0.16251567 0.00507653 0.00420398 -0.00209089 0.13555044 0.06816239 0.19825262 0.00336411 0.14672406 0.01845249 0.000995 -0.02443253 -0.00538759 0.02355824 0.21136051 0.16462213 -0.00699157 0.00744897 -0.0176557 0.00572767 0.04392502 0.08589012 0.0007216 -0.05125929 -0.0063628 -0.06801273 0.0154515 -0.10611968 0.11102885 -0.0566553 -0.12596956 0.01049162 -0.00086994 0.12103719 0.02547865 -0.1488321 0.00082488 0.00281189 0.00921289 -0.00772523 -0.03571368 0.06872455 -0.00087994 0.21241838 0.16547884 -0.21895987 0.05177549 0.06672833 0.00500414 0.01232059 -0.10988579 0.02197051 0.00607683 0.00154506 -0.18015979 0.08069205 0.01875161 0.11916719 0.02789506 0.10519283 0.09951299 -0.01303734 0.09628382 -0.00695163 0.01577688 0.11684124 0.01248153 -0.01331301 0.10382567 0.02893357 -0.07763761 0.00029526] Cos Similarity tf.Tensor(0.6169586, shape=(), dtype=float32) (128,) (128,) [-0.11081363 -0.21233772 0.03541774 -0.10694768 0.01769551 -0.05838994 0.05530132 0.06595508 0.01395486 0.00613912 -0.17635486 -0.02214199 0.02153033 -0.1009424 -0.02686966 0.20078242 0.01988707 -0.17135066 0.09510691 -0.02765192 0.01759539 0.17677723 0.01080179 -0.01751892 -0.00381713 0.0331666 -0.05400446 -0.00380522 0.16512787 -0.220994 -0.11443257 -0.05540792 -0.02578278 -0.01224551 -0.09678812 -0.03292846 0.02411916 -0.15438332 -0.01673055 0.1539542 0.09413634 0.01816262 0.00595712 -0.03104493 0.05722439 0.01244291 -0.06003128 0.02726739 0.01983934 0.04542998 0.00398251 0.00610471 0.03797708 0.01305469 0.04037816 0.01931801 0.02332576 -0.03257255 0.00053834 0.02102305 0.09267998 -0.05307189 0.09391227 0.0361369 0.10807439 -0.01846119 0.00709378 -0.02397866 0.03015293 -0.17168297 0.10450946 0.01248452 -0.00524372 0.03486843 -0.00290185 0.00820092 0.08882297 -0.1848182 -0.01464294 0.21875805 -0.01410458 -0.02214042 0.00490237 -0.05448559 -0.12941517 0.08703674 -0.15972477 0.01607969 0.00878911 0.21800444 -0.05621155 -0.12162173 0.01492043 0.03169325 0.02943426 -0.1941952 0.0173553 -0.03989353 0.00343867 0.11184853 -0.14360756 -0.22020106 -0.0294242 0.0234549 -0.00178535 -0.02014017 -0.20182034 0.0035653 0.03271915 -0.12744354 -0.06551961 -0.01865975 -0.01177655 0.13367006 -0.01783776 -0.01082676 0.18364899 -0.00158947 0.02748768 0.023959 -0.01521669 0.0889358 0.00684399 -0.01452988 -0.18284422 0.07883412 -0.07609974 -0.00519915] [-0.01285944 0.01227447 -0.02698135 0.04932049 0.00858861 0.09212331 0.19269212 0.09331591 -0.00747192 -0.00060568 0.1811942 -0.00196799 0.00652237 0.07387269 0.00441742 0.1238481 0.00810874 -0.22701165 0.03499906 -0.05003897 0.00781582 0.067535 0.00545071 -0.12278207 -0.00138534 0.01686765 -0.10526549 -0.03064287 0.10099924 0.0013075 0.20582505 0.01714541 -0.00839052 -0.03476916 0.08401821 -0.03291418 -0.00253669 -0.08338191 -0.0058184 0.12248849 0.007758 0.01657452 0.00986692 -0.01307251 0.15847635 -0.00521277 0.16758619 -0.0040633 0.00562089 0.01277788 0.01260087 0.01438333 -0.00122243 0.00718564 0.00061338 0.02008303 0.13418986 -0.01240854 -0.02681392 0.01131702 0.01011262 -0.05701607 -0.23206934 0.00262572 0.21446066 -0.06248968 -0.0017511 -0.14109388 0.00240895 0.02531016 0.10383766 0.20262913 0.00775773 0.00407165 -0.0032612 -0.00466242 -0.19820873 -0.01644741 -0.00432033 0.09428991 -0.02221817 0.01826641 -0.01225276 0.13557209 -0.00834545 -0.02627325 -0.13815978 0.01256634 -0.00684263 0.12060973 0.01071878 -0.05323329 -0.01200134 -0.00310648 -0.00976435 0.14205633 0.0230627 0.06619181 -0.00740982 0.03497852 -0.01467838 0.1247822 -0.21239257 0.16778663 -0.0105029 -0.02385285 -0.00965204 0.00024615 -0.00882931 -0.06738161 0.07570579 -0.2263751 -0.00697286 -0.12401231 -0.01948111 -0.23960437 -0.2314389 -0.0022573 -0.01235442 -0.02645287 -0.00358924 -0.07317626 0.02591329 -0.01578029 -0.21295315 -0.00840095 0.01958893 0.01010121] Cos Similarity tf.Tensor(0.08951323, shape=(), dtype=float32) (128,) (128,) [-7.78166130e-02 1.29313588e-01 5.02114072e-02 1.16932288e-01 -3.23753804e-02 1.26783609e-01 -1.45517448e-02 -1.77906618e-01 2.27314495e-02 -6.15840917e-03 -1.03515878e-01 2.14317832e-02 1.77266747e-02 -1.96696669e-01 4.80525419e-02 1.59199029e-01 1.36565138e-02 -7.50444829e-02 1.24073505e-01 4.93362546e-02 2.86105052e-02 2.83004250e-02 5.98319154e-03 -1.84699982e-01 -3.43808485e-03 4.24120855e-03 -1.57950908e-01 3.45880538e-03 -1.10899039e-01 -2.03174785e-01 -6.49090707e-02 -2.06577703e-01 -6.33121294e-04 -1.32351872e-02 -2.12554440e-01 7.00923055e-03 7.30836485e-03 1.16552651e-01 -1.90568212e-02 -5.98574094e-02 -1.29121736e-01 -3.39054363e-03 1.09001426e-02 5.80535876e-03 -1.71121195e-01 -2.07607783e-02 -1.00198090e-01 1.44947292e-02 2.30898224e-02 2.35349759e-02 1.52060688e-02 4.51875268e-04 3.60228005e-03 5.53545309e-03 -5.01814648e-04 4.28287312e-03 -1.34519115e-01 -1.29107768e-02 8.76101758e-03 -2.16158922e-03 -8.87254067e-03 2.54425295e-02 5.04496582e-02 -1.62348021e-02 -4.31756899e-02 4.50281054e-02 3.27830669e-03 -1.54525697e-01 -1.88727316e-03 6.15605265e-02 -3.95300202e-02 -2.13170722e-01 2.24173884e-03 7.50663178e-03 -1.38399247e-02 2.25664731e-02 -3.36299948e-02 -9.49009845e-05 -1.30660152e-02 8.22038874e-02 1.29410466e-02 -1.51214283e-02 -8.99359770e-03 1.20557919e-01 -1.53048247e-01 3.33329737e-02 1.96681693e-01 1.91164091e-02 6.50595082e-03 -1.01113454e-01 1.02728069e-01 5.32420576e-02 6.51426241e-03 1.45248938e-02 -2.97812149e-02 2.10781381e-01 -9.05728638e-02 -5.56206889e-02 1.92835450e-03 -3.36143747e-02 2.46062130e-03 1.50095537e-01 -1.83011428e-01 3.85037661e-02 -1.15956906e-02 -1.57796480e-02 7.78208673e-02 2.12892387e-02 -2.23153247e-03 1.91655114e-01 7.58364499e-02 -1.59708455e-01 -1.93681028e-02 -1.40173556e-02 -7.35837519e-02 -3.12865898e-02 -1.65666237e-01 1.22308382e-03 -1.78121179e-01 8.59868247e-03 1.11980587e-02 2.22150207e-01 3.44006047e-02 3.67092974e-02 2.65632905e-02 5.43204732e-02 5.88622093e-02 -1.87163167e-02] [-1.63393810e-01 -5.47633171e-02 -9.15322527e-02 1.44989580e-01 -4.39016521e-02 1.62354544e-01 5.94066037e-03 -2.23123550e-01 1.24010481e-02 -8.10403377e-03 -1.46871492e-01 -2.60808598e-03 5.78940241e-03 -1.90189794e-01 -1.55118285e-02 3.54084410e-02 3.38914245e-03 -8.78973827e-02 1.78078532e-01 1.88731914e-03 7.59147704e-02 -1.41190186e-01 1.78748963e-03 -2.04312906e-01 -8.25379230e-03 3.32487584e-03 -1.66377276e-01 -1.03290072e-02 6.56301109e-03 -1.16460182e-01 4.21598181e-02 -2.00043231e-01 5.35718771e-03 -3.98261659e-02 -2.13846490e-01 1.97867639e-02 9.16557547e-05 3.05428561e-02 6.11641444e-04 -1.38107434e-01 -8.89757797e-02 -1.02317915e-03 -1.88405090e-03 1.89202407e-03 -1.61118239e-01 -3.76369804e-02 5.58154732e-02 5.71280485e-03 1.48841087e-02 1.54633671e-02 6.55269343e-03 1.69326051e-03 -1.21529624e-02 4.46917210e-03 -1.39272576e-02 -8.27242434e-03 -6.46369010e-02 -7.19626388e-03 -2.94775097e-03 2.58514774e-05 5.98646351e-04 1.80610850e-01 1.66880324e-01 -2.28081141e-02 -9.76046175e-02 1.83097869e-02 -1.46300988e-02 1.31601216e-02 -1.54709518e-02 -8.29649568e-02 -4.39504124e-02 -1.94761857e-01 2.55998573e-03 1.39558251e-04 -2.76849661e-02 1.43490601e-02 -1.21688750e-02 -6.43796928e-04 -4.55185678e-03 1.38596490e-01 -3.84352589e-03 4.52537686e-02 -1.69290379e-02 1.54475138e-01 -2.44885311e-02 -1.78017244e-02 2.13496029e-01 6.58627506e-03 -1.09447744e-02 -3.69494483e-02 9.92703736e-02 7.73782432e-02 3.14414012e-03 2.42011179e-03 -3.08516137e-02 1.33877277e-01 -1.05841614e-01 -8.47489387e-02 -2.87489314e-03 -1.14121258e-01 -5.93327619e-02 1.03219422e-02 -2.20509067e-01 -9.26494747e-02 -8.35566130e-03 -1.67447776e-02 8.16619992e-02 2.55043637e-02 -1.05565395e-02 1.72762990e-01 3.34712304e-02 -3.96377854e-02 -2.22960506e-02 -1.54221803e-02 4.15348709e-02 -2.44923215e-02 -1.77277371e-01 8.79187603e-03 -1.74816668e-01 -6.28560828e-03 4.40588640e-03 2.18358353e-01 7.19332742e-03 4.75645158e-03 1.28065674e-02 8.85777920e-02 -1.84093714e-02 -1.88542642e-02] Cos Similarity tf.Tensor(0.78721464, shape=(), dtype=float32) (128,) (128,) [ 0.09790197 0.07277928 -0.1353231 0.03567532 -0.01795887 -0.13058785 -0.14485104 -0.24184538 -0.00109632 -0.01067473 0.03163583 -0.01706182 0.01717266 -0.05583746 0.13020363 -0.02943277 -0.01139505 0.24908607 0.11963534 -0.20587127 -0.04098195 0.02440059 0.05543609 0.18153013 -0.02539507 0.00179835 -0.16513918 -0.01836025 0.20789452 -0.02696368 0.20165683 -0.20117962 -0.01020605 -0.02789131 0.17625111 0.01477587 -0.0052333 0.07838599 -0.02422952 -0.16581048 0.08623794 -0.00303174 0.00492018 0.02071264 -0.18403521 -0.17885926 -0.06107928 -0.00252525 0.01488607 0.00590614 0.00964157 -0.00183032 -0.01136353 0.00333442 -0.01105089 -0.01539663 -0.13854799 0.00418714 -0.00085796 0.00833487 -0.0435167 0.19488621 0.09540714 -0.00853891 0.15541221 0.00195516 -0.00757373 0.00077371 -0.0210181 -0.02065022 -0.03884839 0.03537755 0.00816733 0.00158363 -0.01767783 0.01811662 -0.14476925 -0.11960937 0.00102296 0.15867934 0.00887695 0.00108729 -0.01868305 0.08122589 0.04216578 0.01909041 -0.11353423 0.00519449 -0.00189086 -0.13509704 -0.07480559 0.08897848 0.00542317 -0.00068127 -0.01774198 0.10742062 -0.022158 -0.15963942 0.01162708 -0.0039199 -0.08682305 0.09584304 0.16741918 -0.09339937 -0.00200337 -0.01421171 0.06030963 0.00486631 -0.01254787 0.0600257 -0.14472665 0.0408405 -0.02662317 -0.18351187 -0.01526747 -0.0726046 0.04565534 -0.00637485 -0.06560151 0.01243719 0.00117175 -0.07942985 0.02005116 0.02067963 0.01840431 0.04380445 0.04151558 -0.01618348] [ 0.03379527 0.02374147 -0.13339768 0.00469989 -0.02704132 -0.08792253 -0.17617452 -0.15803008 0.0052013 -0.00701033 -0.12678923 -0.02237414 0.02160965 -0.00553784 0.05295613 -0.03861242 0.0003117 0.17431441 0.12814298 -0.11593976 -0.04184441 0.05269579 0.05391195 0.13847782 -0.03053107 0.00269668 -0.11640534 -0.00633023 0.04293658 0.03169191 0.18205121 -0.16265482 -0.02063388 -0.03153836 0.12876038 0.0341108 -0.00499543 0.17476495 -0.01504536 -0.08982152 -0.03785517 -0.00213872 0.00194292 0.01287868 -0.14528677 -0.21938099 -0.01863153 -0.00034122 0.01330721 0.00952865 0.00740123 -0.00547693 -0.02281063 0.00264491 -0.00756253 -0.00312093 -0.13844408 -0.0017234 -0.00101067 -0.00049687 -0.03906552 0.21888179 0.20285286 -0.00938979 0.13223192 -0.00117491 -0.0142122 0.001497 -0.02826192 0.04699529 -0.01724866 -0.02839675 0.00280307 0.00449313 -0.01835532 0.01956702 -0.1512253 -0.08396357 -0.0132247 0.22282106 0.00873128 0.00907386 -0.00827876 0.13899396 0.10972691 -0.18307187 -0.13662958 0.00323825 0.00316715 -0.0844603 -0.04622898 0.04659941 -0.00219051 -0.00141106 -0.02883312 0.16589233 -0.02553671 -0.2593032 0.00758419 0.00494086 -0.03539326 0.12798211 -0.10784888 0.02413462 0.00825192 -0.01409656 0.16186818 -0.03228414 -0.00028602 0.20118192 -0.14994657 0.07403769 -0.01142363 -0.14103448 -0.00374354 0.13379362 0.07614711 -0.00363985 -0.10754895 0.00304016 0.01101583 -0.05882556 0.01207776 0.01631039 0.08404697 0.06547958 0.01983966 -0.00172519] Cos Similarity tf.Tensor(0.79134476, shape=(), dtype=float32) (128,) (128,) [-9.91140753e-02 1.24610588e-01 -1.57034621e-01 -1.15830235e-01 -8.30414426e-03 1.54140573e-02 -1.77917585e-01 -1.87074080e-01 7.28113484e-03 -1.45790903e-02 6.93643093e-02 1.45493238e-03 3.59394727e-03 -1.22703820e-01 1.17585268e-02 2.20101327e-01 5.85767254e-03 5.53920865e-02 -4.89935540e-02 9.65588167e-02 -1.00993849e-01 -9.52969072e-04 3.79322693e-02 1.19246636e-03 -8.62168986e-03 1.29693755e-04 7.67368525e-02 -2.54772720e-03 -6.46984950e-02 -3.97817604e-02 -3.99544314e-02 1.04315214e-01 -1.21268854e-02 -5.59393689e-03 8.02170206e-03 4.30951938e-02 -4.08910774e-03 -1.28151268e-01 -9.38423818e-06 7.09923282e-02 -1.21419147e-01 -7.52374856e-03 -7.59675633e-04 1.82448025e-03 -7.64294937e-02 1.64213642e-01 6.61593378e-02 1.37398895e-02 1.40552120e-02 1.10223293e-02 1.73820052e-02 1.52729932e-04 -3.75450123e-03 1.53465038e-02 4.44893958e-03 2.22665584e-03 -5.68806119e-02 2.65705562e-03 1.16281165e-02 -1.16817728e-02 8.45311061e-02 -1.70903876e-01 -8.16511437e-02 2.71372567e-03 2.18292847e-01 4.35464792e-02 -4.58952598e-03 -2.18115315e-01 -2.28378028e-02 1.47889271e-01 -1.87111571e-01 1.44141376e-01 -3.40431044e-03 8.89140181e-03 5.68842143e-03 2.04652753e-02 -8.97202790e-02 -1.40724808e-01 -1.33987516e-02 2.16326550e-01 5.98089257e-03 -2.84280814e-03 -8.40972550e-03 -1.68718472e-02 8.83367509e-02 -3.50342467e-02 -2.29971796e-01 1.47279305e-02 7.49916211e-03 1.07470155e-01 -1.91096127e-01 1.23678178e-01 3.88331217e-04 9.11520235e-03 5.03982301e-04 5.82273677e-02 8.79912525e-02 1.92834049e-01 2.57582683e-03 2.57887803e-02 -2.11949512e-01 1.36898518e-01 -4.09162082e-02 -3.38278599e-02 -5.91865042e-03 -7.92182423e-03 -6.29629269e-02 1.05111785e-02 -8.99474369e-04 3.87958996e-02 -7.88257346e-02 1.95498228e-01 -7.04614585e-03 -1.46279380e-01 -5.05954064e-02 -3.70226987e-02 -1.41478047e-01 -1.39921457e-02 -9.38350931e-02 -1.77645553e-02 1.76588632e-02 -8.84142444e-02 3.31165679e-02 7.71632325e-03 -1.22670405e-01 7.24201649e-02 1.54221738e-02 -1.28010977e-02] [-1.39764607e-01 5.11635467e-02 -1.21293597e-01 -8.68825018e-02 5.13650104e-03 1.39001250e-01 -1.94994256e-01 -1.70199350e-01 6.93184836e-03 -4.70211235e-05 1.43133998e-01 2.84362212e-03 -7.94232916e-03 -8.70095640e-02 -6.73567355e-02 1.93049327e-01 -1.79249067e-02 3.05215493e-02 -7.94053972e-02 9.08313170e-02 -1.31345168e-01 5.14722653e-02 -4.92099226e-02 1.21915996e-01 -1.42709888e-03 1.37629379e-02 7.52455890e-02 -8.83073639e-03 -1.37892485e-01 6.73644021e-02 -1.41166106e-01 1.27390727e-01 7.71395862e-03 -7.57714966e-03 8.65438720e-04 4.18721288e-02 -7.74629507e-03 -1.04181267e-01 9.61500499e-03 2.45585740e-02 -8.93925056e-02 -1.35348726e-03 -6.51043138e-06 -5.23145311e-04 1.27718076e-02 1.45438433e-01 1.09565131e-01 -1.44276805e-02 -4.36848169e-03 4.08222852e-03 1.37263602e-02 -2.54163379e-03 -1.35492673e-03 2.50043906e-03 -1.53901067e-03 1.04286475e-03 -2.36085821e-02 -4.86562541e-03 -1.08998790e-02 4.30994015e-03 1.04869612e-01 -1.72708482e-01 -8.56743380e-02 -1.35311848e-02 1.72932744e-01 2.73637641e-02 -8.88476800e-03 -1.89478815e-01 -2.33572517e-02 1.48138806e-01 -1.43988565e-01 3.60144898e-02 1.38279386e-02 -2.43721087e-03 2.76737916e-03 4.66337055e-03 -1.91136181e-01 -1.64436251e-01 -8.81302450e-03 1.96330354e-01 2.47795810e-03 2.60720542e-03 -1.66508630e-02 1.05703488e-01 -1.58488944e-01 1.22242376e-01 -1.56246200e-01 1.20930886e-02 5.47010917e-04 1.88614354e-01 -1.52159631e-01 9.90511030e-02 -6.78807171e-03 3.72474478e-03 -3.23794386e-03 2.94048935e-02 1.29511338e-02 -1.12038046e-01 -3.85954883e-03 -1.24388374e-02 -1.84081987e-01 3.99898812e-02 -1.38728738e-01 8.09881464e-03 -4.27443068e-03 -1.20467786e-02 5.04657533e-03 -1.24646313e-02 -4.68551554e-03 7.31018707e-02 -7.45883659e-02 1.44370183e-01 1.01787236e-03 -1.40301958e-01 -3.05520967e-02 1.62616223e-01 -1.76214367e-01 1.50795770e-03 -1.43928900e-01 -2.24333424e-02 6.39963755e-03 -4.93561290e-02 9.94035136e-03 7.85600278e-04 -1.09109662e-01 5.83950989e-02 4.95930761e-03 -1.13916704e-02] Cos Similarity tf.Tensor(0.78204185, shape=(), dtype=float32) (128,) (128,) [-0.15705991 0.17059475 -0.06282225 -0.06050111 0.00027916 -0.09331249 0.09882618 0.19544402 0.01413824 -0.00085705 -0.21677274 -0.01724394 -0.00035793 0.13255884 0.0619386 -0.13592348 -0.00518508 0.19046736 0.03940849 -0.01696152 0.19103962 -0.11816241 0.0211271 0.02534197 0.00892829 0.01011545 0.15418091 -0.02844624 0.14606042 0.1940723 -0.11346036 0.03054262 -0.0019586 -0.00902563 0.1011299 -0.0146183 -0.00667128 0.01477946 0.00136811 0.06811472 0.07150925 0.00286115 -0.00827446 -0.00417195 0.11500044 0.20295262 0.00901681 -0.00625771 -0.00193795 0.01241551 -0.00074776 0.00701107 -0.01568092 0.00389873 -0.0118116 0.00682225 0.08226058 -0.00540457 -0.00891762 -0.00568021 0.05153116 -0.06126612 0.10025253 0.00086681 -0.07148626 -0.11112127 -0.0171816 -0.1341047 -0.01256605 -0.17936148 0.09424751 0.04818479 -0.00170553 0.00816097 0.00795044 -0.0024104 0.04957327 0.01179324 0.00124232 0.08249734 -0.03300644 -0.00308819 0.00089095 -0.05638469 -0.07216401 0.13512279 0.03269751 0.00027314 -0.00688518 0.05124036 0.16178384 0.20995238 -0.01389343 0.00107283 -0.00203801 0.13125007 -0.1922935 -0.07522701 -0.00929414 0.07822192 -0.14131676 0.09229601 0.12888823 0.20402068 -0.01972952 -0.01631361 0.1319081 -0.00647021 -0.01841398 -0.14258699 -0.14270672 -0.17085055 0.00310691 -0.13817106 0.05996639 -0.02022814 -0.01443376 0.00275152 0.19909588 0.00101933 0.00811714 -0.07414693 0.00619067 -0.02101587 -0.06222938 0.03593823 -0.04555096 -0.00321044] [-1.66829601e-01 1.78016469e-01 -9.53143463e-02 -2.63779964e-02 -1.13644404e-03 5.04739769e-02 1.24011204e-01 2.21490636e-01 1.52246831e-02 -7.30775017e-03 -1.07357785e-01 -1.93676837e-02 -9.44587123e-03 1.22286938e-01 6.78673983e-02 -1.50979429e-01 -4.14923159e-03 1.93806857e-01 -9.28684101e-02 -2.05145970e-01 2.01068372e-01 -4.09062795e-06 3.77017539e-03 3.85001116e-02 -6.35909289e-03 8.40434060e-03 8.17087665e-02 -3.00339982e-02 9.77841616e-02 1.45340830e-01 1.06866956e-01 -9.00878236e-02 -7.71823758e-03 -3.72943953e-02 -4.69833836e-02 -1.82107072e-02 -1.61244497e-02 1.15410194e-01 8.98757949e-04 4.44346964e-02 2.41570055e-01 8.06974061e-03 -8.79151747e-03 -1.14991385e-02 7.80003220e-02 4.28463258e-02 -2.09259801e-03 -1.22820977e-02 -3.04658012e-03 1.23548741e-02 1.37660431e-03 4.57157847e-03 -1.46435294e-02 3.22676194e-03 -1.22889159e-02 9.05402191e-03 7.85968080e-02 -9.42158792e-03 -1.92780625e-02 -1.29831582e-02 3.53447869e-02 -4.06749956e-02 -6.18418232e-02 -1.86593214e-03 8.09997544e-02 -1.14698730e-01 -2.17958577e-02 -1.43605500e-01 -1.46262981e-02 -1.98257878e-01 1.71154901e-01 9.14181024e-02 -1.65507605e-03 1.05712032e-02 -8.74056190e-04 -1.46649545e-03 -1.08321635e-02 -7.22731948e-02 2.97163380e-03 5.07646985e-02 -3.79729904e-02 2.73777125e-03 -1.80256702e-02 9.62467566e-02 1.40653580e-01 -7.48909405e-03 -4.38327529e-02 4.23030229e-03 -1.76834334e-02 -5.07381894e-02 1.37607113e-01 1.26841679e-01 -2.50194017e-02 5.86238131e-03 -2.33010855e-02 -1.64270148e-01 -1.82563469e-01 8.59709606e-02 -1.10062370e-02 1.27064928e-01 -1.65718049e-01 2.28521898e-02 -7.95293376e-02 1.61499262e-01 -1.83666721e-02 -1.55176083e-02 -1.25757176e-02 -2.46292874e-02 -3.94945517e-02 9.81220454e-02 -1.66485146e-01 -1.24397494e-01 -1.68454403e-03 -1.48803681e-01 5.00248671e-02 -1.41900182e-01 -1.63724899e-01 8.57609883e-03 1.10417597e-01 -2.12709769e-03 6.73635770e-03 -1.50067016e-01 5.94946509e-03 -7.39462860e-03 1.11887887e-01 5.70695624e-02 1.19289765e-02 -6.79827435e-03] Cos Similarity tf.Tensor(0.6071592, shape=(), dtype=float32) (128,) (128,) [ 2.13144690e-01 -3.32461037e-02 5.14980555e-02 -7.50865340e-02 3.22793094e-05 7.11178733e-03 -5.80010191e-02 4.26844284e-02 1.17444715e-05 1.93609134e-03 -9.09038410e-02 -9.29356087e-03 -8.70797504e-03 -1.37762696e-01 -1.68217897e-01 -4.16523479e-02 -5.54443942e-03 2.15883970e-01 1.33858323e-01 -1.51437789e-01 1.30238026e-01 -1.08310459e-02 1.26882866e-01 -2.33673467e-03 9.87873599e-03 -8.34608264e-03 -8.78927261e-02 2.79209041e-03 -1.85511559e-02 1.99803919e-01 -2.16296539e-01 1.04083635e-01 -1.85029563e-02 2.29353290e-02 -4.16837111e-02 2.72501316e-02 -1.42456163e-02 -8.79824162e-02 2.01013424e-02 -1.87981516e-01 -7.22436607e-02 4.74596163e-03 5.43612347e-04 1.00714003e-03 6.05568513e-02 5.43744601e-02 -1.50302917e-01 1.53290639e-02 1.45250065e-02 7.93419220e-03 1.62556693e-02 -2.09335034e-04 1.80441402e-02 8.37771595e-03 -3.07752583e-02 2.58424170e-02 -3.00701130e-02 -1.45796323e-02 1.24569226e-04 6.40940736e-04 4.26718220e-02 -5.05341366e-02 3.29382904e-02 7.90118892e-03 -8.77941847e-02 -1.03534691e-01 -1.56045659e-02 -4.15965579e-02 1.06106130e-02 -1.11330435e-01 -1.27497390e-02 -1.49057403e-01 2.18548719e-02 -1.16633801e-02 4.37393971e-03 -7.08025240e-04 7.72074685e-02 2.45753918e-02 5.01299137e-03 -1.98745117e-01 4.29609651e-03 -3.98809370e-03 1.86001398e-02 2.31162846e-01 -1.55493364e-01 1.96925744e-01 4.42194156e-02 1.95668694e-02 -9.91433300e-03 7.89075941e-02 6.54300675e-02 7.72890970e-02 5.47979772e-03 6.68420037e-03 1.94700714e-02 2.19185770e-01 -5.91928884e-02 -7.94531256e-02 -9.61564854e-03 -1.53751567e-01 2.23979190e-01 -5.32047004e-02 1.08976439e-01 7.27401525e-02 -2.16653850e-03 -1.58453584e-02 -1.20611310e-01 -2.10319180e-03 8.47829413e-03 -2.17277780e-01 1.59134176e-02 1.64707843e-02 7.20179686e-03 -1.12369955e-01 -1.88255180e-02 1.46707445e-01 1.18293077e-01 3.40152904e-03 -5.94715066e-02 2.55852030e-03 2.27352185e-03 2.11922780e-01 2.10776180e-02 1.68863833e-02 -1.19912423e-01 1.19144022e-02 7.54007883e-03 -1.65133104e-02] [ 1.40042871e-01 5.09025156e-02 9.00458321e-02 1.34877309e-01 -1.71998597e-03 -7.21118180e-03 -2.25375965e-01 -1.16715739e-02 -2.33050599e-03 -3.73238279e-03 7.20731393e-02 -1.22972915e-03 1.78899094e-02 -5.21547496e-02 -1.48843816e-02 1.58121448e-03 -9.72211594e-04 5.16874269e-02 -1.55062908e-02 -2.36743242e-02 1.92160890e-01 -1.74717486e-01 1.53319329e-01 -2.99899816e-03 7.08615500e-03 -1.17395986e-02 2.10496917e-01 3.50852381e-03 -1.88280016e-01 -1.01213127e-01 -2.12388426e-01 6.11821264e-02 1.18086590e-02 -1.48505811e-03 1.17366239e-01 1.94488615e-02 -1.07895536e-02 8.03085491e-02 1.06512569e-02 -5.42642139e-02 -7.45125022e-03 -5.62410289e-03 -7.53924483e-03 -3.98320815e-04 -6.65431991e-02 7.22160265e-02 8.73426870e-02 1.20714484e-02 1.25375520e-02 -7.42770731e-03 8.25337041e-03 6.14616508e-03 6.10984350e-03 6.15742104e-03 1.22280233e-03 4.31236578e-03 -1.44275516e-01 -1.75906699e-02 3.85523133e-04 6.00646948e-04 -2.05896311e-02 4.82677557e-02 -1.46851629e-01 -2.91549414e-02 4.71707322e-02 1.21834688e-01 -2.60569919e-02 -1.04515366e-01 1.70788094e-02 -3.00383121e-02 -1.66844696e-01 5.92186972e-02 -2.17309484e-04 3.96715570e-03 6.94505218e-03 -1.03136608e-02 1.28943652e-01 7.55674541e-02 1.44598552e-03 1.04803778e-01 -2.98648467e-03 -1.20163392e-02 9.30518936e-03 -2.40666745e-03 1.20263852e-01 3.99948843e-02 -1.20537750e-01 1.75410043e-02 6.09246688e-03 1.27106145e-01 3.94165702e-02 -1.25512540e-01 1.16948417e-04 -7.06421398e-03 4.43829130e-03 5.20748384e-02 8.66423622e-02 5.73984571e-02 1.30025542e-03 -2.68121392e-01 -1.38930082e-02 2.38607805e-02 1.96941838e-01 1.65987298e-01 -8.26472044e-03 -1.24523602e-02 -8.04427341e-02 -5.54120494e-03 1.88200560e-03 -2.46515170e-01 2.31479883e-01 1.21929683e-01 1.03498213e-02 -1.19234435e-01 -1.77567564e-02 -2.61197370e-02 1.99171692e-01 7.10680979e-05 -1.61552832e-01 -9.52613447e-03 -7.29635032e-03 1.53258398e-01 1.92390449e-04 5.08786133e-03 1.10987909e-01 3.71469744e-02 -6.11337014e-02 -1.71129592e-02] Cos Similarity tf.Tensor(0.26391402, shape=(), dtype=float32) (128,) (128,) [-8.78740028e-02 -8.40927940e-03 2.58120243e-02 -1.08073942e-01 -1.87872462e-02 4.62878980e-02 2.07788661e-01 -5.36566414e-02 -8.31579510e-03 7.71293137e-03 1.02033734e-01 -1.70657132e-02 -4.70333965e-03 -1.36578575e-01 -7.40283728e-02 1.79588012e-02 -5.01436414e-03 -1.66993648e-01 1.43992841e-01 -9.02696326e-02 -2.08331272e-02 1.76020861e-01 -2.31411025e-01 1.61267564e-01 3.92960828e-05 9.26708616e-03 5.34151047e-02 3.34479637e-03 -5.80525436e-02 -2.33445048e-01 -6.60284907e-02 -1.16953194e-01 5.56400791e-03 -1.35952290e-02 9.94243324e-02 -1.15994867e-02 1.00051193e-02 1.26079237e-02 1.86062197e-03 1.42346263e-01 2.44839191e-02 1.28856825e-03 -1.21682258e-02 -1.30051244e-02 -5.39351702e-02 -2.43690491e-01 -1.16633140e-01 -1.25964461e-02 1.05494410e-02 1.83558441e-03 9.76718217e-03 -2.28725281e-03 -1.34037025e-02 5.75862452e-03 6.20445143e-03 8.35856516e-03 -2.02949420e-01 5.95359411e-03 -1.21097323e-02 2.67868023e-03 1.65432364e-01 2.39758998e-01 -1.80125311e-02 -8.61368980e-03 9.38052870e-03 -1.02945901e-01 -5.55133820e-03 2.57993434e-02 -2.15374883e-02 -1.61954507e-01 -1.88207012e-02 4.90575731e-02 2.18025092e-02 -3.33131640e-03 -1.64495539e-02 2.75685615e-03 1.34745643e-01 -1.38927057e-01 5.81712974e-03 -8.24664719e-03 -6.01630250e-04 3.36660780e-02 -1.68353375e-02 -1.89612240e-01 6.70430660e-02 1.20622195e-01 -2.58883499e-02 1.13907503e-03 -3.89398122e-03 1.37136489e-01 -1.29906051e-02 1.47658527e-01 -3.05228606e-02 1.81925353e-02 3.93882068e-03 -7.51506612e-02 3.02537009e-02 -2.07238257e-01 3.78099852e-03 6.21186867e-02 6.17890246e-03 -1.03242330e-01 -9.07510868e-04 2.86326073e-02 -8.07501189e-03 -2.38874760e-02 1.85938776e-01 1.48133673e-02 -5.06905932e-03 1.45913780e-01 8.00662562e-02 -1.30026504e-01 -8.13377183e-03 -9.28237140e-02 1.76424850e-02 -2.41449460e-01 2.09134091e-02 2.02263873e-02 2.42528021e-02 5.58494765e-04 -1.63572899e-03 9.62842181e-02 2.10783575e-02 -3.58031876e-02 3.74042988e-02 6.85201287e-02 -7.32807666e-02 -2.20461097e-03] [-0.01481043 0.08675948 0.03465493 -0.01543132 0.00267888 -0.01326486 0.05082137 0.17940992 -0.0107735 -0.00466252 0.18393464 -0.00177579 -0.00536629 0.06237048 0.03945862 0.10321465 0.00351576 0.04658381 0.15318759 0.09956847 -0.12123024 0.16544874 -0.20546894 0.05264387 0.00286898 0.0112247 -0.04707184 0.01486678 -0.00244384 -0.19029273 0.06630653 -0.2034181 -0.00290066 -0.02258019 -0.11711308 -0.015963 0.007489 0.02791009 -0.02063988 0.14184809 -0.09106675 0.00950895 -0.00334637 -0.02451378 0.18556747 -0.12753862 -0.09506457 0.00505481 0.00266042 0.01251442 0.00379567 0.01462632 -0.00512801 0.00543218 0.0040636 0.01570174 0.08535728 -0.00312191 -0.00974692 0.00554241 0.18619385 0.1859934 -0.12218551 -0.01209012 -0.15072004 -0.01067496 -0.00070454 0.00684101 0.00334058 0.05841387 -0.06721755 -0.01511429 0.00446928 0.01019842 -0.00555327 -0.01244318 -0.15684609 -0.12094633 -0.00304435 -0.1264069 -0.000685 0.01518115 -0.01413969 -0.03454804 0.1272293 0.07349135 0.15752064 0.01002092 -0.00923106 0.16666321 -0.05444339 -0.08908881 -0.00179977 0.00702976 0.01923674 -0.20784754 -0.15501022 -0.18730631 0.00879582 -0.04987333 0.06300744 -0.14928651 -0.15941754 -0.13346966 0.00341001 -0.01284452 0.08050767 -0.00527815 -0.00401332 0.18737552 0.07878804 0.06566108 0.00472737 0.0456188 0.08854941 -0.20723115 -0.13015273 0.0195858 0.11213152 -0.01213679 -0.00224703 -0.07353652 0.01253312 -0.00079588 0.00043076 0.07916956 -0.07726099 0.01243177] Cos Similarity tf.Tensor(0.4378364, shape=(), dtype=float32) (128,) (128,) [-1.96734548e-01 1.71395428e-02 -4.06591408e-02 6.33334219e-02 1.75825029e-03 -6.25813799e-03 1.52526665e-02 8.64090621e-02 -3.17134219e-03 6.71677617e-03 -2.21796438e-01 8.22852086e-03 1.57012697e-02 7.24308193e-02 3.28823254e-02 -1.12326937e-02 5.23457490e-03 -1.82706844e-02 1.52797535e-01 2.01197360e-02 -1.78196967e-01 -4.27279696e-02 4.82993685e-02 1.17496550e-01 1.83702875e-02 1.33129843e-02 -3.11220847e-02 9.25086159e-03 -1.15128867e-01 -1.44324929e-01 1.74966171e-01 -2.15027168e-01 8.19942448e-03 6.87338645e-03 1.85990587e-01 3.01299654e-02 2.10609287e-02 7.43361330e-03 -9.91017744e-03 1.82887107e-01 -5.91012053e-02 -5.70188509e-03 -9.71146021e-03 -8.91545694e-03 4.76810755e-03 9.05887783e-02 5.30574704e-04 3.72404675e-03 3.16005154e-03 -1.18380338e-02 7.62432115e-03 1.06334276e-02 -8.41589924e-03 5.79219218e-03 1.37559259e-02 4.63670399e-03 -9.76610705e-02 -5.76374587e-03 -7.39804143e-03 1.87312700e-02 -9.50755328e-02 1.04228131e-01 2.16167327e-02 -2.19898690e-02 1.48801804e-01 1.42594770e-01 -9.64865205e-04 2.35480051e-02 -6.04714453e-03 7.91891813e-02 -1.53229788e-01 -1.56829521e-01 1.63744087e-03 1.15941092e-02 8.78087617e-03 -6.93614921e-03 1.29088551e-01 7.01300651e-02 -2.93014594e-03 -1.65837988e-01 -1.11238118e-02 2.20070142e-04 -5.39777009e-03 3.49279381e-02 -2.58878581e-02 5.79141676e-02 -1.93302587e-01 2.48827646e-03 4.24634106e-03 1.81361347e-01 1.52824029e-01 -6.81045353e-02 -8.67747143e-03 5.36943879e-03 1.62076727e-02 -1.91280320e-02 1.86140444e-02 -1.72365189e-01 5.07555716e-03 -1.98331982e-01 -2.43083551e-03 7.06404820e-02 -1.86500505e-01 -1.58562124e-01 1.50738144e-02 -5.38948830e-03 -1.96971923e-01 -2.21974496e-03 -1.82053435e-03 1.94154069e-01 2.64422856e-02 7.06869829e-03 7.58221000e-03 -1.84914082e-01 -1.22150322e-02 1.18817054e-01 -2.08290651e-01 1.58416759e-02 -8.63469392e-02 7.28737749e-03 -2.75303703e-03 1.33354336e-01 -1.14690857e-02 -1.75130069e-02 9.32952687e-02 1.90913361e-02 -4.67453115e-02 3.53882345e-03] [-1.90503955e-01 1.85156967e-02 -1.25093266e-01 1.30665615e-01 -2.75615952e-03 -1.56430737e-03 7.90749118e-02 1.25116155e-01 -5.71651850e-03 9.83636710e-04 -2.07447886e-01 4.75023221e-03 5.86759672e-03 1.12878613e-01 2.06497014e-02 -6.55725524e-02 -1.42954974e-04 1.28581524e-01 1.06093593e-01 -7.66875222e-02 -1.89830154e-01 -4.65762280e-02 5.34944497e-02 1.08313628e-01 1.38800801e-03 1.14224628e-02 -1.10184714e-01 -2.89439410e-03 -9.56669226e-02 -1.91478029e-01 1.72959626e-01 -2.21367449e-01 -2.20851321e-03 -3.43421823e-03 1.79626450e-01 2.65806895e-02 1.53744826e-02 -8.49753211e-04 -1.66666806e-02 1.48461655e-01 -7.37089515e-02 -3.15762288e-03 -1.07097430e-02 -1.29766036e-02 3.41437943e-03 1.02751575e-01 1.89988762e-02 -5.16609522e-03 6.68306788e-03 -1.12886112e-02 5.18301688e-03 1.03423530e-02 -7.47688115e-03 3.21843824e-03 1.93382031e-03 -4.87808458e-04 -1.22359112e-01 -4.78728907e-03 -1.51603017e-02 1.00272242e-02 -6.63575381e-02 -4.65101376e-02 2.62212195e-03 -1.74379498e-02 9.66365561e-02 1.41020477e-01 -7.79495900e-03 5.96406497e-02 -1.06695676e-02 8.84973109e-02 -8.17371309e-02 -1.47008970e-01 2.47766986e-03 9.34619736e-03 1.43653073e-04 -5.14287874e-03 1.39189720e-01 8.47965479e-02 -4.62368131e-04 -1.47623885e-02 -1.45863099e-02 1.44711393e-03 -6.91381888e-03 3.27729285e-02 1.28608048e-01 5.04576862e-02 -1.92532510e-01 -9.64072417e-04 -1.58073229e-03 1.96808636e-01 1.75281629e-01 -1.15520388e-01 -5.91879571e-03 4.45541972e-03 1.18979355e-02 1.04492242e-02 4.43371795e-02 -1.61951557e-01 3.71318636e-03 -1.94970965e-01 -1.49492338e-01 3.35897654e-02 -8.01132023e-02 -1.18871972e-01 4.31930926e-03 -7.65481684e-03 -1.98937312e-01 3.58625595e-03 -7.71692721e-03 1.15706809e-01 2.58928705e-02 -5.97431092e-03 1.51301560e-03 -1.95246562e-01 1.81831035e-03 3.91928479e-02 -2.11738586e-01 1.36574833e-02 -1.62197664e-01 -3.49745806e-03 -5.64773148e-03 8.50644484e-02 -1.32517377e-02 3.35229747e-03 9.22597870e-02 2.34456211e-02 -4.08301093e-02 1.83811469e-03] Cos Similarity tf.Tensor(0.8942343, shape=(), dtype=float32) (128,) (128,) [ 1.48824021e-01 -1.89699996e-02 3.40254381e-02 -6.08014874e-02 -1.84432603e-03 1.82195827e-02 -1.73943900e-02 1.24001577e-01 -2.91670137e-03 -4.92707873e-03 -2.00086758e-01 7.39073381e-04 1.34058632e-02 -6.65107965e-02 -5.07972091e-02 -1.82773530e-01 -3.42374179e-03 1.70744240e-01 1.78276733e-01 -2.70713791e-02 -2.17934139e-02 -1.45673424e-01 -8.95530954e-02 4.92954776e-02 2.46787518e-02 8.16918537e-03 8.67761672e-03 9.53162275e-03 -6.17946200e-02 -1.67843744e-01 -1.81750670e-01 1.08456053e-01 -2.23882683e-03 -4.66969283e-03 -5.04518487e-03 -2.04491317e-02 -3.78257246e-03 -1.36995971e-01 -2.31650900e-02 8.16221237e-02 2.89798602e-02 5.81029663e-03 -6.87270705e-03 -2.61554401e-03 1.05403341e-01 1.27122313e-01 8.45376998e-02 1.06898299e-03 3.31329159e-03 2.32218578e-02 1.27575574e-02 9.64791328e-03 -4.67171706e-03 8.20675585e-03 4.01496282e-03 1.66698210e-02 1.18767813e-01 1.61082819e-02 3.73247691e-04 2.80767493e-03 -8.93517584e-02 -1.96246535e-01 1.69634283e-01 3.50883999e-03 -1.12817943e-01 1.35134831e-01 -9.61703807e-03 -9.89321619e-03 5.84195787e-03 1.29265651e-01 1.12472042e-01 -5.74313216e-02 1.07981786e-02 5.52019896e-03 6.72954461e-03 1.86027354e-03 -2.05816805e-01 -1.16756305e-01 -1.38313305e-02 8.31447691e-02 -8.90215393e-03 -3.36687488e-04 1.63233243e-02 -1.78543925e-01 -6.08537681e-02 1.86709091e-01 1.97373629e-01 2.77115824e-03 -9.96442884e-03 6.66649938e-02 1.18761502e-01 1.67983755e-01 5.16276574e-03 1.61625966e-02 1.51783898e-02 3.77222337e-02 -2.27504899e-03 -1.28870443e-01 -1.84483302e-04 3.81935909e-02 7.02944323e-02 9.45254415e-02 1.85732454e-01 1.92778215e-01 -3.51326400e-03 -1.71953011e-02 1.55740604e-01 1.77265774e-03 8.12429120e-04 1.42956421e-01 -2.05649622e-02 -1.20449305e-01 8.79601284e-04 -1.80907808e-02 1.43629545e-02 -8.70156884e-02 1.08204328e-01 -4.41897986e-03 -1.27690509e-01 7.83299562e-04 5.13979513e-03 1.61710620e-01 1.50186019e-02 -1.36306789e-02 -1.83850348e-01 6.87571988e-02 -3.58150452e-02 7.88828637e-03] [ 4.35176268e-02 1.26587272e-01 9.21538025e-02 1.10490069e-01 -2.36829231e-03 -2.84193829e-02 6.81215748e-02 2.29902919e-02 1.13795130e-02 4.68251901e-03 6.83764517e-02 2.11393051e-02 2.94418596e-02 -2.92734616e-02 1.06284305e-01 -1.56211421e-01 -3.16687278e-03 2.09829718e-01 7.20058605e-02 -1.10049032e-01 5.78438379e-02 -1.68259859e-01 8.08541700e-02 1.72460511e-01 3.77534404e-02 2.40260009e-02 1.46154523e-01 1.32004134e-02 -2.07840145e-01 -1.73631430e-01 1.28234431e-01 4.28492241e-02 -2.03162469e-02 -1.60579551e-02 -1.87803924e-01 -1.34855080e-02 1.79234445e-02 -6.76775053e-02 -3.14566270e-02 5.85053936e-02 2.16188818e-01 1.56478100e-02 -5.08689648e-03 -2.69793496e-02 -2.03954037e-02 1.16948793e-02 7.06733530e-03 -4.27574711e-03 2.05879821e-03 -1.09044686e-02 6.05509430e-03 9.02745314e-03 1.77695360e-02 9.46788210e-03 2.12972052e-02 2.54522469e-02 1.57935977e-01 1.67555120e-02 -3.88275762e-03 1.53791560e-02 -1.21587954e-01 -1.15597419e-01 -5.29486425e-02 2.20974032e-02 7.09674284e-02 4.48582992e-02 -1.04008485e-02 3.09401825e-02 1.46104116e-02 6.92936629e-02 1.58572674e-01 -9.71298590e-02 2.33383290e-02 2.03158404e-03 8.39577802e-03 1.12383626e-02 -1.52599439e-01 -1.37413487e-01 -9.58644133e-03 -1.01018228e-01 -4.72987955e-03 3.98589391e-03 8.43450055e-03 -2.94723846e-02 -1.89481694e-02 -2.00720988e-02 1.05135210e-01 1.17631676e-02 -3.72383208e-03 -9.39655676e-02 1.85808957e-01 1.91827819e-01 7.13600602e-04 1.22489855e-02 3.59632121e-03 -2.91640535e-02 -1.27329111e-01 -2.73335390e-02 -1.33628026e-03 1.42882550e-02 1.93735898e-01 9.13009699e-03 7.19224811e-02 1.38491914e-01 2.26387754e-03 -1.81565043e-02 1.35751203e-01 -9.02664542e-05 1.24259197e-04 2.08863348e-01 7.86817819e-02 -3.73245887e-02 -1.70611788e-03 2.04894871e-01 1.36937499e-01 -2.01962322e-01 1.65652499e-01 1.38017368e-02 -8.18135142e-02 -6.46025175e-03 -1.49481501e-02 -1.65272623e-01 2.12580469e-02 -1.41301134e-03 -3.67560238e-02 -5.44289220e-03 -7.97721669e-02 6.70581264e-03] Cos Similarity tf.Tensor(0.46273676, shape=(), dtype=float32) (128,) (128,) [-1.81564055e-02 -8.14831853e-02 1.55914603e-02 -1.17532477e-01 -1.20903747e-02 -9.02756900e-02 -1.62672117e-01 1.64336056e-01 -3.24196951e-03 -3.67849879e-03 9.49494317e-02 -1.73019078e-02 -1.57031342e-02 -7.85329044e-02 4.26085740e-02 1.77594259e-01 1.22076832e-02 -6.64623920e-03 8.22678804e-02 5.19360192e-02 7.66519606e-02 4.76188660e-02 -5.03572039e-02 -4.29071812e-03 1.16721645e-03 1.01826049e-03 2.39990391e-02 9.42369550e-03 -1.95533752e-01 1.07235253e-01 -9.61539373e-02 9.31233466e-02 -5.13877813e-03 -1.44244265e-02 1.77412957e-01 -7.70107936e-03 1.43622570e-02 1.09063007e-01 -1.86019996e-03 -9.22617465e-02 -1.31495148e-01 1.09867956e-02 4.69437102e-03 2.12605800e-02 -1.66949809e-01 1.68651730e-01 -1.55437067e-01 5.13193570e-03 9.99429170e-03 -3.62298731e-03 1.39640318e-02 -1.44627073e-03 -1.72690749e-02 3.64385638e-03 5.70329931e-03 -6.66467648e-04 1.73678055e-01 4.17176681e-03 1.46810086e-02 6.90976484e-03 1.46106705e-01 1.87255666e-01 1.37065217e-01 3.97191849e-03 1.54758796e-01 7.00140325e-03 -1.59223459e-03 1.92739025e-01 -2.23871712e-02 1.10459588e-01 -3.21415439e-02 -1.09305494e-01 -4.83572985e-05 -2.95104482e-03 3.40153859e-03 2.08093803e-02 4.99259382e-02 -4.79614623e-02 -1.77061895e-03 -1.48167580e-01 7.94029050e-03 -9.46400315e-03 1.26418089e-02 -1.43377617e-01 -1.58599436e-01 1.71737760e-01 -2.49478202e-02 1.24146668e-02 2.35459744e-03 -9.29024741e-02 1.32157415e-01 -1.23589598e-01 -5.81443682e-03 9.95234866e-03 2.04521250e-02 -2.19042435e-01 -2.09704593e-01 8.99944380e-02 1.44931558e-03 1.52183965e-01 1.41203985e-01 1.84361234e-01 -1.45857751e-01 -1.85820460e-02 -9.69657302e-03 -2.05193483e-03 1.43265679e-01 1.41203320e-02 1.86450907e-03 1.00330845e-01 -1.07079120e-02 1.64541185e-01 1.23562282e-02 1.15514822e-01 1.50339957e-02 -3.10669858e-02 1.05638755e-02 -2.12454377e-03 2.19546556e-02 -2.14278866e-02 1.71483401e-02 -7.89666325e-02 2.08551828e-02 -2.46955827e-02 6.41226768e-02 7.59093463e-02 1.02838967e-03 -6.54430874e-03] [ 2.45159138e-02 -1.73490956e-01 -2.70404909e-02 -1.66269511e-01 -1.63666327e-02 -1.25252932e-01 -8.15908164e-02 1.23699032e-01 2.22132681e-03 -4.00022464e-03 1.13284528e-01 -1.85326301e-02 1.27860508e-03 -1.05725147e-01 -1.38717992e-02 1.35732755e-01 -2.08944436e-02 7.83451721e-02 1.06933162e-01 5.00249229e-02 1.37268126e-01 1.23029970e-01 -2.20095124e-02 8.13923683e-03 -6.31191954e-03 1.49450649e-03 7.53091797e-02 -3.42292304e-04 -1.62979841e-01 1.21730462e-01 -6.25735968e-02 2.02239409e-01 -1.19521311e-02 -3.09269056e-02 7.60041475e-02 -1.12560699e-02 1.97933358e-03 -8.72309692e-03 -1.02225356e-02 -6.13279790e-02 -1.01302266e-01 2.52341223e-03 7.62414187e-03 2.76018702e-03 -2.30033830e-01 9.32837352e-02 -1.66519791e-01 -1.40435891e-02 -2.39309645e-03 -1.48017047e-04 7.38343876e-03 2.76162755e-03 -2.70905811e-02 1.67460938e-03 -1.31984167e-02 -4.11744788e-03 5.84637597e-02 5.61905676e-04 1.19663710e-02 5.53316018e-03 9.44683999e-02 1.05726190e-01 1.59009829e-01 3.58333229e-03 1.73016220e-01 6.35562763e-02 -1.00861154e-02 1.49641424e-01 -1.04504144e-02 9.51609239e-02 -1.91669725e-02 -1.70101374e-01 5.79169020e-04 7.55869260e-04 -2.70884298e-03 1.53811546e-02 -1.24302311e-02 -1.19534522e-01 -1.06520078e-03 1.14155389e-01 -2.92534544e-03 -1.61024497e-03 8.32026079e-03 -1.78433374e-01 -2.10586458e-01 1.92314133e-01 1.10126026e-01 9.14642029e-03 -5.29949414e-03 -6.50130808e-02 1.52890787e-01 3.51058994e-03 -6.94842124e-03 4.15973971e-03 1.71758269e-03 -2.33204305e-01 -9.25433785e-02 9.71136093e-02 -1.13701145e-03 2.05404133e-01 9.95860621e-02 1.90882504e-01 -9.16691944e-02 -5.67020960e-02 -1.00716827e-02 -7.07330741e-03 1.96104899e-01 1.46202371e-02 -1.10575836e-02 1.14228457e-01 9.55110509e-03 8.38218853e-02 -7.91295990e-03 1.52365088e-01 1.63180269e-02 -4.48208489e-02 2.37557432e-03 -2.98760505e-03 3.84731330e-02 -2.49772817e-02 5.15128626e-03 -5.38992584e-02 1.54923759e-02 -2.87095811e-02 9.04885679e-02 6.94029778e-02 3.02347005e-03 -9.31244530e-03] Cos Similarity tf.Tensor(0.8536239, shape=(), dtype=float32) (128,) (128,) [-9.64424163e-02 1.18388340e-01 -2.08186060e-02 9.10603092e-04 -5.62542770e-03 -5.33846281e-02 -1.50200993e-01 -5.91587722e-02 -4.46672831e-03 -1.41530074e-02 1.38345018e-01 9.88945365e-03 6.33119792e-03 7.14343041e-02 -2.11088229e-02 -7.37256482e-02 -7.87536241e-03 -1.46669522e-01 -3.32836919e-02 -1.20204441e-01 8.89127851e-02 2.29777712e-02 -2.09667295e-01 8.25773701e-02 8.38518795e-03 5.10785636e-03 4.01414409e-02 -1.92129556e-02 -8.87966976e-02 -2.02987790e-01 -3.77080515e-02 -9.22892839e-02 -4.89313528e-03 -4.06067260e-02 -1.59969568e-01 -1.54465875e-02 -3.65750073e-03 -2.86754891e-02 -5.65288169e-03 1.02790326e-01 8.56684819e-02 1.66144082e-03 -3.28989932e-03 -2.08822880e-02 1.93674952e-01 -4.33747582e-02 -5.96882552e-02 -2.26013782e-03 1.61687948e-03 5.48832701e-04 5.96225029e-03 1.43529130e-02 -1.08450009e-02 3.09449999e-04 -8.23951233e-03 7.29244715e-03 -2.47387402e-02 6.54721539e-03 -5.86678786e-03 -4.50993842e-03 1.23130921e-02 -1.18891329e-01 -1.49589032e-01 -1.77799594e-02 -1.05202451e-01 -1.86005116e-01 -8.36474542e-03 -3.79035645e-03 -8.59297533e-03 -2.62998212e-02 -8.45273957e-02 -1.16988465e-01 7.64878141e-03 -4.14033607e-03 -6.51176961e-05 -7.57780904e-03 -2.37089038e-01 6.86102286e-02 -6.48958981e-03 1.10430636e-01 -8.03163555e-03 1.89167317e-02 -1.08333258e-02 -8.14792048e-03 -1.64261669e-01 -1.10126749e-01 -2.30609015e-01 8.41618795e-03 -9.70292930e-03 9.73275527e-02 1.14662006e-01 4.05954048e-02 -8.34867172e-03 1.19209336e-02 1.57448277e-03 6.56807944e-02 1.48739457e-01 -1.43458635e-01 -2.30382709e-03 -1.58661917e-01 2.05863118e-01 -1.18262865e-01 -1.67792007e-01 1.61423553e-02 -7.87950121e-04 -2.01441254e-03 1.97215766e-01 1.48690343e-02 -2.70725172e-02 9.86225009e-02 -3.15025374e-02 -2.23166063e-01 -8.98639672e-03 2.25725919e-01 -3.57126296e-02 1.02121353e-01 1.25750169e-01 3.07111046e-03 1.07193418e-01 -1.36764664e-02 -2.15944625e-03 -1.20408693e-02 1.65246371e-02 -1.00874146e-02 1.33054078e-01 -1.17069867e-03 8.65888968e-02 5.15737943e-03] [-1.98926836e-01 -1.67114586e-01 3.26838717e-02 9.16877203e-03 -9.11980215e-03 -2.29503028e-02 -7.69750252e-02 1.27575383e-01 -7.80782104e-03 -1.05753110e-03 1.36442497e-01 5.42291021e-03 -3.13764624e-03 1.95223540e-02 2.40207110e-02 -3.40676606e-02 -3.85569828e-03 -1.46396101e-01 8.20811763e-02 -4.94884625e-02 9.87668782e-02 -8.31330791e-02 -1.26575589e-01 3.39092640e-03 7.14604231e-03 1.11875935e-02 1.42112419e-01 -2.81605814e-02 -1.59196615e-01 2.68698838e-02 -1.85959041e-01 2.18599319e-01 -8.60651955e-03 -3.58743295e-02 3.59958634e-02 -4.79533849e-03 1.75835623e-03 -2.57145315e-01 -3.95602314e-03 -4.99372184e-02 -2.33201142e-02 1.29177086e-02 -7.68467737e-03 -2.44729444e-02 -9.45418701e-02 1.27827600e-01 -1.68528948e-02 -9.73027758e-03 -1.17049494e-03 1.48788104e-02 1.09593794e-02 1.21949073e-02 -1.52331823e-02 4.33390122e-03 -2.07839496e-02 1.34357670e-02 -3.94505933e-02 4.38669929e-03 -1.81904936e-03 2.45082355e-03 7.85597712e-02 -1.25277430e-01 -8.90773982e-02 -8.58801510e-03 -9.33610424e-02 1.17036572e-03 -1.48512227e-02 -2.54963990e-03 7.34231295e-03 -2.25348786e-01 1.80799305e-01 -1.82080366e-05 5.59230382e-03 1.58329343e-03 -2.11376144e-04 -1.61273554e-02 -1.76074043e-01 -2.30541192e-02 -5.85223688e-03 6.72020689e-02 -1.57811828e-02 -9.45225824e-03 -1.46092856e-02 9.98332053e-02 5.11408374e-02 1.24837555e-01 6.99004903e-02 5.01071149e-03 -8.21585022e-03 2.06562594e-01 -1.43549033e-02 -2.91272569e-02 -2.63143685e-02 1.27110109e-02 8.85130186e-03 2.22335085e-02 -4.78701852e-02 -1.88165799e-01 -1.04626874e-02 3.23373079e-03 1.42088503e-01 2.09397450e-01 -2.55365819e-02 1.60802722e-01 -5.47166029e-03 -4.03783377e-03 1.88779831e-01 -8.11306015e-03 -1.01342052e-02 -8.42398778e-02 -1.09969065e-01 -1.43834651e-01 -5.86380530e-03 1.12497628e-01 4.72096950e-02 -2.44347587e-01 7.39683285e-02 4.31315182e-03 2.45495170e-01 3.09361168e-03 3.96220107e-03 8.31283480e-02 1.82803757e-02 -6.37803832e-03 -2.57517751e-02 5.16402423e-02 -2.81590782e-02 3.63342953e-03] Cos Similarity tf.Tensor(0.24312045, shape=(), dtype=float32) (128,) (128,) [ 0.13840935 0.13189302 0.06105123 -0.18817714 0.00068509 0.03508171 0.1353424 0.05669645 0.00808171 0.01192466 0.03176437 0.03140423 0.03206877 0.0559612 0.06883571 0.09136137 0.01725486 -0.05600698 0.16411468 0.08974272 0.08748911 -0.08031419 0.16973484 0.14195035 0.01776582 -0.01189856 0.1910771 0.01368608 -0.19493788 -0.00128852 -0.19114983 0.16262275 0.02359401 0.03983887 -0.00728549 0.03292337 -0.01387618 0.10975078 -0.00971396 0.08823354 -0.13068189 -0.00929065 -0.00974098 -0.00384828 -0.06129532 -0.06715054 0.06422373 0.04240472 0.01613658 0.00970653 0.00404291 0.00612976 0.02693218 0.00794956 0.02575796 0.02261141 0.1768058 -0.01514343 0.01693241 0.0086883 0.08204413 0.1287955 0.07246443 -0.00793476 -0.15785258 0.15755133 -0.00220693 0.00101238 0.02791698 0.0326639 -0.11691888 -0.04720717 -0.00124145 0.0241162 0.01198948 0.02423519 0.18821776 -0.07834336 -0.00141033 0.03108321 0.01785887 -0.00337008 0.01158385 -0.16095762 -0.16415058 0.09570922 -0.1703662 0.00830999 0.00560435 -0.18078563 0.13281742 0.05315851 0.01370882 0.02016498 0.03001872 -0.140803 0.16577263 0.10226956 0.00831537 -0.09799731 -0.13995947 -0.18512158 -0.11870106 -0.11049104 -0.00595908 0.01176001 0.14026931 0.00403106 0.03327788 -0.1672809 0.101528 -0.08727323 0.02705439 -0.08208854 -0.04032229 -0.04015888 0.02631907 0.01345086 -0.02730102 -0.00073324 0.00929751 0.07008076 -0.02485773 -0.0130872 0.18164472 -0.00253655 -0.03928585 0.00563416] [-0.18398783 -0.17851141 0.00710101 -0.1455265 -0.00087497 0.01226674 0.03438139 0.04908906 0.02109055 -0.00569424 -0.11333211 -0.00115057 -0.01249111 -0.02103874 0.13071461 0.14663257 0.00914316 -0.0272049 -0.11148528 -0.09539752 0.15505145 0.11477408 0.12297516 -0.08538557 -0.01759849 -0.00461811 0.02846404 -0.0089166 -0.05722877 0.1285007 -0.16905352 -0.17273383 0.00438065 -0.00975262 0.0972958 -0.00214111 0.00082854 0.12443763 -0.00799958 0.10230677 -0.00881057 -0.01151532 -0.00162903 -0.00402539 0.03293986 -0.08491229 0.00678239 -0.00089856 0.00236049 0.00569532 0.00505444 0.00458266 -0.00288913 0.00271263 0.01258505 0.01241659 0.11203808 -0.00531713 0.01118707 0.00222329 0.06119829 -0.01069522 0.13226596 -0.00447641 0.06118052 0.11485868 -0.00365011 -0.12500116 -0.01350115 0.14811209 -0.18989614 -0.19168548 -0.00151082 0.01148077 -0.00169548 0.01358894 0.11012825 0.01936192 -0.00324877 -0.17008369 -0.00374806 -0.02529753 0.00789473 -0.08176414 -0.16485839 -0.18111585 -0.11184042 0.00226782 -0.00178793 -0.155884 -0.00996394 0.19320245 -0.02543138 0.00481379 -0.02320127 0.10809854 0.06445064 0.07523715 0.01281864 0.14322878 -0.18754962 -0.07216773 -0.06838302 -0.15626954 -0.04221572 0.01453237 0.09329724 0.01288875 -0.00542133 0.15280525 0.11033425 -0.10839887 -0.01417048 -0.15799212 0.01907446 -0.18752976 -0.12211699 0.000715 0.12528919 0.00655043 0.0012349 0.0342865 0.00083643 -0.02792599 0.17486021 -0.10243596 0.02041454 0.00398468] Cos Similarity tf.Tensor(0.3194757, shape=(), dtype=float32) (128,) (128,) [-1.67636558e-01 3.02635226e-02 -3.64089608e-02 -4.63563316e-02 4.00742218e-02 -5.21148778e-02 8.14826563e-02 1.44189596e-01 -1.25778781e-04 1.95726231e-02 -1.64045721e-01 5.09329736e-02 6.71603670e-03 8.29852745e-02 -1.12966471e-03 -6.64787516e-02 2.69349795e-02 -3.77666540e-02 1.59047440e-01 1.18552269e-02 1.04893647e-01 -2.09251925e-01 -2.99707404e-03 -6.16151318e-02 3.31031159e-02 7.57202227e-03 9.07620415e-02 -2.12593414e-02 -2.12291956e-01 5.19616082e-02 -1.12188406e-01 2.34030694e-01 -2.00989377e-02 2.62602568e-02 -1.03508644e-02 1.23161348e-02 2.76296884e-02 8.04045945e-02 -3.56026888e-02 -8.42193067e-02 9.70568955e-02 -9.59118921e-03 -4.04911209e-03 6.44826842e-03 -2.01688617e-01 6.80982769e-02 9.04920846e-02 -3.82620515e-03 1.32689590e-03 6.62550181e-02 3.80702652e-02 1.80675518e-02 6.13499060e-02 1.40729863e-02 5.83153516e-02 6.98578656e-02 -8.00970346e-02 3.35375057e-03 2.35415883e-02 5.69517799e-02 -1.64442345e-01 -1.14698455e-01 2.54195333e-02 1.17765125e-02 -1.31335407e-01 1.72039971e-01 6.19905256e-03 4.81555089e-02 5.84449470e-02 1.38073847e-01 -1.99299380e-01 1.87496662e-01 8.97518545e-03 -2.55171093e-03 2.71937922e-02 -1.04591309e-03 7.76200742e-02 2.97302082e-02 1.74791459e-03 -1.95472464e-01 2.00890340e-02 4.92488034e-02 1.26802148e-02 -3.57644446e-02 -1.65218756e-01 9.84538123e-02 -1.86259806e-01 2.41723042e-02 1.95658300e-02 9.44884941e-02 9.82640013e-02 -1.00438982e-01 1.83940753e-02 2.60156784e-02 1.27403345e-02 1.23511277e-01 -3.27124223e-02 -6.26227167e-03 2.34020893e-02 1.73757840e-02 2.11331826e-02 -2.01699004e-01 -2.12789968e-01 -5.09249605e-02 6.08302243e-02 -3.31960060e-03 8.37560669e-02 1.49155920e-02 7.57952780e-02 -1.92176595e-01 1.48295298e-01 -1.45355999e-01 4.97484431e-02 5.64397685e-03 -6.96022362e-02 -9.09842644e-03 -4.83818017e-02 3.00345328e-02 -4.70662452e-02 7.03097731e-02 1.46555826e-02 5.40199764e-02 7.25615844e-02 -2.35859700e-03 5.81168570e-02 3.63134108e-02 -2.22207271e-02 7.10085547e-03] [-1.43285036e-01 1.25453219e-01 -5.57154715e-02 -2.14042991e-01 -1.78897090e-03 -5.97412027e-02 7.67516494e-02 6.15651235e-02 -4.66102920e-03 -6.60898862e-04 8.26044604e-02 -1.75733753e-02 -9.04430263e-03 2.46123001e-02 -9.48604718e-02 2.56124828e-02 -1.60654895e-02 6.92712292e-02 1.35240108e-01 -1.25001460e-01 -3.81763466e-02 -7.88246542e-02 1.85452893e-01 2.10783742e-02 -9.01196525e-03 4.14949004e-03 1.25771305e-02 6.02119090e-03 -2.18926713e-01 1.17136426e-01 4.19566557e-02 1.70166984e-01 -1.33137917e-02 -5.08170342e-03 3.38799953e-02 -1.96871795e-02 9.99918580e-03 2.39675626e-01 1.98988756e-03 9.50362310e-02 1.09999888e-01 -9.26019624e-03 -1.02975871e-02 -1.11808507e-02 2.97555234e-02 1.05815716e-02 2.98867859e-02 8.42791982e-03 7.97227304e-03 9.94685292e-03 9.35709162e-04 4.21581836e-03 1.76302157e-02 3.54446727e-03 -1.47714315e-03 1.60953328e-02 -1.35595471e-01 1.00004897e-02 -9.40719154e-04 -2.37899693e-03 -5.33190649e-03 -8.22656602e-03 1.26370236e-01 2.63539609e-03 -1.80405244e-01 1.20447874e-01 -3.12174410e-02 -7.22893253e-02 -1.74635500e-02 5.10836355e-02 -2.08847582e-01 -2.11528316e-01 3.67687107e-03 1.05590206e-02 -8.25461559e-03 1.28091117e-02 9.16322786e-03 1.15702160e-01 8.99324287e-03 -2.47297645e-01 -3.83305922e-03 6.45866916e-02 -5.75253228e-03 -8.16784985e-03 1.64443448e-01 1.80311471e-01 -2.61568844e-01 7.31917704e-03 1.30172388e-03 1.95218980e-01 -1.09068342e-01 4.34222538e-03 -1.67266466e-02 1.73618458e-02 2.60857353e-03 1.98449850e-01 8.39493796e-03 -2.70757005e-02 -7.21671805e-03 -7.78310001e-02 3.07788178e-02 1.41007602e-01 -1.48584127e-01 1.65199041e-01 -1.94688980e-03 -1.63730718e-02 -9.56687853e-02 6.80478057e-03 -9.49266460e-03 -3.48068848e-02 1.23986490e-02 -2.49265023e-02 -2.14329246e-03 -1.94198433e-02 -4.65757102e-02 -7.12702749e-03 4.02801819e-02 -1.02885459e-02 8.15628022e-02 5.27465856e-03 -3.34795122e-03 2.03464227e-03 8.13245960e-03 -3.89617239e-03 2.14893743e-01 1.78171831e-05 -6.33215606e-02 -5.95745957e-03] Cos Similarity tf.Tensor(0.38274187, shape=(), dtype=float32) (128,) (128,) [ 5.93202338e-02 -1.03348553e-01 9.04890150e-02 -1.31063163e-01 1.61945261e-02 -3.79148200e-02 -3.57902311e-02 -6.30901158e-02 -1.34581747e-02 2.48956420e-02 -1.86299577e-01 2.55110692e-02 5.86517230e-02 -5.41272759e-02 1.22396566e-01 3.57310213e-02 3.55298221e-02 1.17683262e-01 1.47818357e-01 -1.44427000e-02 9.31748524e-02 -8.42579920e-03 -2.75652520e-02 -1.10915691e-01 8.17161500e-02 7.96982320e-04 1.46256447e-01 2.64174324e-02 1.29320249e-01 -2.19070558e-02 -2.28824452e-01 2.81365495e-02 1.73272118e-02 5.84921464e-02 1.61798418e-01 -2.21525971e-02 3.47132832e-02 1.55603781e-01 -3.77849787e-02 -4.09363098e-02 8.99680257e-02 -7.01429136e-03 2.91099353e-03 -6.88232901e-03 -1.16340898e-01 -1.25353813e-01 5.33338711e-02 6.45540059e-02 3.67611684e-02 3.17595489e-02 3.56211024e-03 5.42097259e-03 3.01987212e-02 1.64634045e-02 2.69589256e-02 7.14090979e-03 1.01578705e-01 -3.90189956e-03 2.51113195e-02 2.38070060e-02 9.91648883e-02 -6.61960542e-02 -9.41334143e-02 4.03317772e-02 1.21359587e-01 -2.18871385e-02 2.45866720e-02 -3.30597982e-02 4.27751243e-02 5.41634345e-03 -2.30572629e-03 9.07735676e-02 1.49210151e-02 -2.31439322e-02 3.09719183e-02 3.42611596e-02 1.89311549e-01 8.82815421e-02 1.77711640e-02 1.27065899e-02 1.36997066e-02 2.65439413e-03 1.87496245e-02 -2.00155765e-01 -2.22996339e-01 6.54094592e-02 1.19051486e-01 1.27203288e-02 8.52122903e-03 3.36776301e-02 6.83665322e-03 6.56107347e-03 5.00564314e-02 8.93598795e-03 6.26553893e-02 1.50407180e-01 -1.39239565e-01 -1.60761565e-01 1.50077827e-02 1.96691938e-02 1.15947306e-01 -2.07095712e-01 -1.16024248e-01 -4.26440537e-02 -3.69399134e-03 5.58167398e-02 2.25457802e-01 1.92591175e-02 6.58550933e-02 -2.20173359e-01 -1.94158763e-01 -1.42185763e-03 2.13451702e-02 1.78924718e-04 -1.02563433e-01 1.24477409e-01 8.18336681e-02 1.52322771e-02 2.74364054e-02 7.06569925e-02 -4.39704675e-03 1.57175943e-01 2.76945289e-02 -9.15050786e-03 -1.68130413e-01 1.20719045e-01 -9.49815884e-02 1.84146799e-02] [-1.04006648e-01 1.63570091e-01 8.12263042e-02 7.18874186e-02 2.98063969e-03 -1.53666232e-02 -3.14139351e-02 1.08269691e-01 -5.12253260e-03 1.17231428e-03 -2.23370999e-01 3.82722449e-03 3.47335497e-03 1.50009185e-01 4.12648432e-02 -1.20917432e-01 1.25054270e-02 -8.11888836e-03 -1.19884022e-01 -2.57020984e-02 8.12009498e-02 3.28276530e-02 1.58905521e-01 9.05883324e-04 2.04475801e-02 -3.00535048e-05 2.09077805e-01 -3.64039559e-03 8.49029049e-02 -7.84985423e-02 -2.23546997e-02 1.09403521e-01 -1.57824010e-02 1.67981591e-02 6.74980730e-02 -5.40553173e-03 8.24633427e-03 2.05692410e-01 -1.78316087e-02 -2.02891573e-01 1.96996313e-02 -1.41152292e-02 -1.70257152e-03 -1.24599040e-02 1.99146226e-01 8.06433186e-02 1.30332723e-01 1.95118890e-03 5.90632390e-03 4.75261826e-03 -5.37198596e-03 7.47569045e-03 -3.06737563e-03 1.87869905e-03 7.85070378e-03 1.91284213e-02 7.71813318e-02 -2.95962486e-02 -1.70882512e-02 -1.10175889e-02 7.96347037e-02 1.05406344e-01 4.88562994e-02 7.07826531e-03 -5.96580021e-02 -2.13795458e-03 6.25975337e-03 4.87421677e-02 1.40289897e-02 -1.13458328e-01 1.82168469e-01 -2.15810031e-01 4.24723141e-03 1.96586810e-02 1.93284191e-02 1.27223944e-02 -1.01275362e-01 -8.03637728e-02 -2.98518484e-04 -2.09458098e-02 -1.42730083e-02 -1.54106813e-02 1.94098800e-03 -3.03820819e-02 7.24490806e-02 -2.25487739e-01 1.37276232e-01 1.36641366e-02 -1.54860187e-02 -1.66753247e-01 1.36260957e-01 -6.89588860e-02 -2.07774024e-02 2.30321754e-02 2.51998957e-02 4.93080914e-02 9.62094888e-02 8.38140398e-02 -3.92905902e-03 1.67150095e-01 -6.16589189e-02 -1.84927389e-01 7.54877403e-02 -3.45859386e-04 -2.14535184e-02 -5.49177581e-04 -1.38497859e-01 2.27950094e-03 -6.72454573e-03 -4.52308208e-02 7.21020406e-05 -1.11579098e-01 5.25989477e-03 -1.84160188e-01 -1.14570148e-01 1.90680891e-01 1.77334964e-01 -6.55771187e-03 -8.83204788e-02 -4.45004413e-03 7.50728301e-04 3.91591042e-02 1.44417840e-03 -4.79824375e-03 2.26148665e-01 2.89272368e-02 5.45214973e-02 -3.36245447e-03] Cos Similarity tf.Tensor(0.0065257177, shape=(), dtype=float32) (128,) (128,) [-0.17106988 0.12617984 -0.09906636 -0.00262312 -0.04150142 -0.00653909 0.1431848 -0.24516216 0.00074609 -0.00173904 -0.07738185 -0.03257126 0.0084918 -0.13829596 0.06112324 -0.08606823 0.00519114 0.2306651 0.07832361 -0.00191999 -0.10996199 0.00323803 -0.2276243 -0.11581396 -0.01249527 0.0012812 -0.05894867 -0.02343173 -0.00436164 -0.07027981 -0.12019921 0.03732301 0.00456609 -0.02964889 -0.01954913 0.01185794 -0.0130541 -0.11149505 0.00431362 -0.23920114 0.13941899 0.00205021 -0.00725204 -0.01617541 -0.09793282 -0.27305228 -0.01864243 0.00273667 0.01208689 0.00396476 0.01465066 -0.00168295 -0.02689877 0.00366885 -0.00926445 -0.01455812 -0.02755608 0.00325589 -0.01091395 -0.03413821 -0.01015985 -0.13394298 0.10849395 -0.01826729 0.14167802 0.01082136 -0.03464793 0.00975582 -0.04619351 -0.13829811 -0.13749482 0.0061036 -0.00250207 0.00307659 -0.0093626 0.0133035 0.02438081 -0.02665946 -0.00681785 -0.05768342 -0.0042987 0.1410964 -0.01133599 -0.01811236 -0.07117829 -0.13405892 0.08101644 0.00358824 -0.01371783 -0.04038664 0.0580834 0.05581326 -0.01295781 0.01124786 -0.01684319 -0.2446426 -0.00470164 -0.1023413 -0.00989489 0.10999138 -0.16734198 -0.13938712 -0.21582179 0.12460359 -0.00422399 -0.01681204 0.0863166 0.01594383 -0.00137395 0.03183485 0.02695499 -0.01669572 -0.01095683 0.04727207 0.06367109 0.26319087 -0.06034581 0.00883322 0.1172893 -0.05137226 0.0108385 -0.01663044 0.00727524 -0.01292575 -0.03419153 0.07663709 0.15205045 -0.01430884] [-0.21340281 -0.074635 0.04019465 0.00297 -0.03470502 -0.0004741 0.14578845 -0.18334164 0.0063284 0.00158647 0.24747624 0.00214356 0.00666457 -0.24770525 0.15065016 -0.05920632 0.01753131 0.26295802 -0.17804174 -0.06883293 -0.01297007 -0.02973505 -0.05603224 -0.09462932 0.01232055 0.01048591 -0.12473696 -0.02337343 -0.1341587 0.13660738 -0.08567721 0.13681717 0.01164646 -0.00037974 0.02529494 -0.02526372 0.00163011 0.07091227 0.00275983 -0.20377603 0.07777303 -0.00448352 -0.00557503 0.01408575 -0.09896064 0.08590138 -0.10491411 0.00451192 0.02865014 -0.00651987 0.01102391 0.0049683 0.02802794 0.00971754 0.01340644 0.00124462 -0.01176394 -0.00615385 0.00902875 0.00426739 -0.08223891 -0.04339322 -0.14330265 0.00809282 0.10775148 0.17393157 -0.01736806 0.06840908 0.00064018 -0.06462058 -0.16294508 -0.0010126 0.00208426 -0.00695769 -0.00739138 0.0156737 0.07673684 0.00682274 0.00390634 -0.23325728 0.00718076 0.068132 -0.00234633 0.00292838 -0.09642465 0.05923888 0.01744424 0.01298904 0.00081374 -0.06389337 -0.0015616 -0.10596736 0.00598392 0.01439554 0.01874262 0.19997144 -0.00129355 -0.23334448 -0.01839689 -0.08716217 0.12508875 -0.13979833 -0.0994029 0.11028291 0.00794423 -0.02776733 0.19618571 0.03418832 0.01788025 -0.04646197 0.01614249 0.02987132 -0.00917559 0.0434226 0.09167595 0.09247962 0.00626123 0.011175 0.09210785 0.03206963 0.0055744 0.00746808 0.03257046 -0.01328477 -0.11859564 0.02075079 0.09711184 -0.0183063 ] Cos Similarity tf.Tensor(0.3847062, shape=(), dtype=float32) (128,) (128,) [ 0.0646298 0.00905763 0.14542098 0.19557528 -0.04069592 0.00688303 -0.15565285 -0.10744563 -0.00094416 -0.00277679 0.15919454 0.01216141 0.00547856 -0.17062955 0.14487562 -0.2338583 -0.02074421 0.18389198 0.20220478 0.08056118 -0.12445498 -0.12479167 0.01089467 0.08202808 0.01150137 0.01127997 0.18974964 -0.01410144 -0.02481634 0.13815105 -0.19449535 0.00826137 -0.00392554 0.008142 -0.12282778 -0.00126429 -0.01447527 -0.06574743 0.0048402 -0.07198757 -0.02477594 0.00473129 0.00337569 0.02763298 -0.18131003 -0.14384808 0.07796992 0.01681875 0.01177596 0.00824888 0.01603458 0.00626334 0.00904507 0.00547461 -0.00804171 0.0118448 -0.01467865 0.01785957 0.00908059 -0.02082044 -0.00137828 -0.16111124 0.02247931 -0.01621449 -0.10743909 -0.10418988 -0.01313052 -0.00767376 -0.01101349 0.08875924 0.01400754 -0.00302476 0.00394016 -0.0057424 -0.00812489 0.01369844 0.00175264 0.10423301 0.01053821 -0.15780568 0.00803785 0.01991047 -0.00605496 -0.01139345 0.09071849 0.2171586 -0.18291418 0.01062903 -0.00226992 0.08341365 0.03425008 -0.09370695 0.00485571 0.00773519 -0.00850446 0.17091955 0.17266005 -0.11157031 0.00123904 -0.04222501 0.17844157 0.15368162 0.01796837 -0.00726914 0.00849808 -0.00844648 -0.01663867 0.02520241 -0.00279348 0.02543172 0.08413438 -0.10801765 0.00983138 0.11334545 0.01371029 0.08155483 -0.18083501 -0.01073216 -0.18544869 0.00798146 -0.00193295 -0.04823975 0.0386281 0.02303976 0.10476638 0.00042306 0.12000801 -0.0097465 ] [-9.07220021e-02 1.45938054e-01 -4.75937054e-02 -1.65929377e-01 -2.47181077e-02 1.05625458e-01 -1.12613417e-01 -2.10593287e-02 -3.28197470e-03 -4.68172505e-03 -1.97229311e-01 -8.24108068e-03 3.55715561e-03 -6.54249787e-02 1.45651534e-01 -1.63005114e-01 -6.96342159e-03 1.88238934e-01 1.28133416e-01 -6.65630773e-02 -2.22663078e-02 2.12114546e-02 -1.82318985e-02 1.66431114e-01 3.51202721e-03 7.23358523e-03 -1.71782430e-02 -8.64957925e-03 -2.10248366e-01 1.25541106e-01 -1.11136176e-02 -1.51301250e-02 1.47779807e-02 2.84247752e-03 7.69714117e-02 1.96152423e-02 -1.01415850e-02 2.32063249e-01 -1.45839425e-02 1.28253758e-01 2.54575186e-03 3.32525885e-03 3.61851556e-03 1.28783472e-03 -2.74112578e-02 -3.07915937e-02 7.18866102e-03 3.28552983e-06 1.29008396e-02 4.02544672e-03 8.56349943e-04 1.88925280e-03 -1.53441522e-02 9.03617404e-03 -8.92697554e-03 1.04817543e-02 1.32483408e-01 1.57950330e-03 1.47437467e-03 -9.73432884e-03 1.91290349e-01 -7.38886371e-02 1.44101888e-01 -4.09440137e-03 1.40627086e-01 -7.25843161e-02 -6.04701461e-03 -2.14820579e-02 -2.64056213e-02 5.50292693e-02 9.30692554e-02 2.30846670e-03 -5.76179661e-03 7.91631266e-03 -7.81340059e-03 -6.01850031e-03 1.45895198e-01 -1.50425702e-01 -4.33971174e-03 -1.39681965e-01 -8.50815699e-03 -6.86882623e-03 8.00960232e-03 -1.94475979e-01 -3.81345749e-02 -2.46580876e-02 -1.32947057e-01 4.91404859e-03 -4.15934855e-03 -1.94936827e-01 -1.78551003e-01 -2.93378104e-02 -3.12411971e-03 6.69931527e-03 1.10815074e-02 -4.76992503e-02 1.43101737e-01 -1.31489798e-01 -5.38789248e-03 -1.10765718e-01 1.05511710e-01 9.29970369e-02 3.62318158e-02 7.04078749e-02 -1.77437495e-02 9.57617816e-03 1.86839566e-01 -3.47809419e-02 -1.02786962e-02 -8.89615491e-02 1.23277858e-01 1.27216533e-01 5.40087791e-03 -3.74838151e-02 -2.53702165e-03 -4.43210714e-02 -2.26426423e-01 -1.20261116e-02 -1.32578164e-01 -6.58029737e-03 -1.03472639e-02 1.91321030e-01 1.23942690e-02 -1.37687912e-02 1.32620215e-01 -5.96974902e-02 5.67779690e-02 -8.09534546e-03] Cos Similarity tf.Tensor(0.22890589, shape=(), dtype=float32) (128,) (128,) [-0.05531483 -0.0969438 0.05789135 0.18099953 0.00987078 -0.07158583 -0.08171745 0.04329493 0.01066433 0.01488911 0.03945786 -0.01374189 0.01107624 0.10496511 0.03646278 0.16791126 0.00687505 -0.1802755 -0.13807459 -0.00610861 -0.20645128 -0.08112439 0.06825529 0.11174639 0.02137208 0.01330477 0.05768218 0.01183259 -0.13788497 -0.02030808 0.14171565 -0.10560139 0.01690652 0.02108243 0.16742545 0.04839979 0.02020256 -0.03542976 0.01977395 -0.04400548 -0.00787121 0.00659392 0.00142972 -0.00594084 0.12842792 0.0691741 -0.06788023 -0.0005704 0.02227943 0.03405506 0.01154079 0.0005804 0.04092314 0.02111635 0.03830167 0.01349519 0.13595617 -0.01179403 0.01699498 0.00434868 0.17650989 0.10928766 0.2253114 -0.01303146 0.00843418 -0.15360546 0.00849331 0.05430979 0.0144709 -0.08198015 -0.15498388 -0.08574336 -0.00546891 0.01571001 0.01143063 0.01151532 0.22892563 -0.08744823 -0.01054229 0.24671336 0.02188494 -0.00339335 0.00466352 -0.02910317 -0.02813564 0.18686374 -0.08514249 0.04710659 0.00936956 -0.13287286 -0.0872211 0.09030299 -0.020148 0.01622468 0.01758524 0.06004355 -0.02694078 -0.04290588 -0.00257223 0.135907 -0.16193359 -0.17491671 0.114826 0.1890467 0.0059622 -0.03448642 -0.07085387 -0.01921488 0.02368493 -0.12287821 -0.03687346 0.21923578 0.02631937 -0.00452357 -0.05187098 0.13026738 -0.03929218 -0.02507414 -0.18159972 0.02502465 -0.01959441 -0.02761963 0.01794435 0.00404885 -0.11613749 -0.00364519 -0.03848681 0.01454728] [-1.91317052e-01 2.86628548e-02 -2.86644548e-02 8.63666087e-03 3.57527542e-03 -1.03115747e-02 1.19562052e-01 3.69299538e-02 1.63189732e-04 -1.15043959e-02 -8.33457038e-02 -1.21402799e-03 -1.27378386e-03 1.18244685e-01 8.78335163e-02 6.57614246e-02 -3.35231889e-03 -1.18829049e-01 -1.53596953e-01 -1.01928832e-02 4.55968194e-02 -1.06660135e-01 1.07555734e-02 1.83422640e-01 -2.64175627e-02 -2.85636913e-03 1.61791623e-01 -1.64034292e-02 1.62236214e-01 -1.86778113e-01 -5.68069220e-02 -1.51127622e-01 -1.69440433e-02 -1.55411232e-02 -7.32505471e-02 1.79723408e-02 1.10984845e-02 1.82251749e-03 -1.75262615e-03 -1.64964199e-01 1.39330491e-01 -1.15855299e-02 -8.52097641e-04 -1.09794531e-02 1.68221705e-02 1.38866782e-01 1.17206790e-01 5.71850641e-03 3.71753634e-03 1.24521293e-02 2.53030797e-03 3.89802782e-03 -1.03820674e-02 2.56916974e-03 5.89010131e-04 9.68816970e-03 -7.08730966e-02 -5.35107311e-03 6.60634786e-03 3.82691296e-03 3.18065844e-02 1.95712551e-01 6.26453608e-02 4.61511593e-03 9.49375480e-02 1.25478640e-01 -4.33523301e-03 5.65160699e-02 1.04543045e-02 -3.46493796e-02 2.12879311e-02 9.48026031e-02 7.88420555e-04 3.54339438e-03 2.87421211e-03 8.76496918e-03 1.05448045e-01 -7.14125112e-02 -2.10793130e-03 1.90051854e-01 -2.08169091e-02 -6.23405874e-02 -2.17511375e-02 8.57549757e-02 -1.48059025e-01 2.14305863e-01 2.17455983e-01 1.05259214e-02 -7.61608919e-03 -1.70676246e-01 -1.05963856e-01 -1.87436536e-01 -1.87309515e-02 1.76827647e-02 -6.53251400e-03 1.10318139e-01 2.10527554e-02 1.31640777e-01 -1.60844252e-02 -8.24388638e-02 -1.07465260e-01 -2.15174720e-01 -1.75968744e-02 -1.70850977e-01 -2.36512180e-02 1.12136314e-03 -1.88974008e-01 4.12643421e-03 -1.70995481e-02 8.53358507e-02 -6.57156855e-02 1.68054774e-01 -1.88236183e-03 -6.23915493e-02 1.64854471e-02 -1.68199092e-01 1.02195837e-01 -7.17046345e-03 1.03664562e-01 -2.90590003e-02 6.09829836e-03 -4.65542786e-02 1.76132109e-03 -1.11259269e-02 1.43970251e-01 -1.38212591e-02 6.65603578e-02 -1.37440022e-02] Cos Similarity tf.Tensor(0.19422665, shape=(), dtype=float32) (128,) (128,) [-1.30592614e-01 4.63929847e-02 4.40899581e-02 -1.02948204e-01 -1.13089904e-02 1.46586178e-02 -1.65064141e-01 -1.56480327e-01 4.00709221e-03 3.37998127e-03 1.91006869e-01 1.61048044e-02 2.45358720e-02 4.75535989e-02 -4.01809402e-02 5.52366152e-02 -7.89386872e-03 -9.52772498e-02 9.61919650e-02 1.53175786e-01 -1.70173161e-02 1.80120915e-01 -1.93148449e-01 1.35389835e-01 -3.74418721e-02 1.25865294e-02 2.05539495e-01 1.90967156e-04 -1.99066147e-01 1.56661421e-01 1.46688610e-01 -1.35679945e-01 3.43451835e-03 8.51511303e-03 1.69046327e-01 3.66717316e-02 1.11013697e-02 2.03166828e-02 -9.83730517e-03 -1.04786411e-01 5.14831059e-02 -1.38455275e-02 7.96616077e-03 -1.60571246e-03 -1.76592752e-01 -1.34326249e-01 -1.22715957e-01 -7.29323318e-03 1.37584796e-02 -1.06106289e-02 2.73434329e-03 -2.16873223e-03 -1.19842589e-02 8.11099634e-03 6.12471253e-03 -2.95419828e-03 1.76110476e-01 6.01860974e-03 6.99884040e-05 1.57815665e-02 -1.20718449e-01 1.23863906e-01 -1.74446359e-01 7.99273420e-03 1.32937416e-01 7.73904622e-02 -5.99383842e-03 2.50155423e-02 -9.28417034e-03 7.30862692e-02 1.20541314e-02 -1.42215148e-01 -4.20593331e-03 -8.47453717e-03 2.06989888e-03 -1.02291154e-02 -5.40475771e-02 -1.00183506e-02 6.69743679e-03 3.55569273e-02 6.57611666e-03 -6.65985122e-02 -1.07420981e-02 1.30850539e-01 1.29326567e-01 1.77565217e-01 1.54947698e-01 2.74513499e-03 1.16238715e-02 1.27742127e-01 1.16896562e-01 1.58658057e-01 1.31376879e-02 7.85524119e-03 -1.62954279e-03 -1.98897734e-01 -1.07162043e-01 -9.47367176e-02 4.97598294e-03 -7.99590535e-03 -6.40222281e-02 -2.14472841e-02 -8.03591236e-02 -1.49137035e-01 1.43366924e-03 -1.81236286e-02 8.51287097e-02 3.18346871e-03 4.34524613e-03 -6.40107542e-02 -1.23801813e-01 9.74259973e-02 -6.29995426e-04 1.05843078e-02 -4.67677899e-02 -1.87337369e-01 2.23820051e-03 1.57357322e-03 -2.25382168e-02 7.67258741e-03 -3.93718481e-03 -8.14641565e-02 1.68937445e-02 -9.14600678e-03 8.56163073e-03 1.66526958e-02 1.14910513e-01 -4.03122714e-04] [ 0.05589975 0.09272608 0.07573374 -0.10245921 -0.00798717 0.01977009 -0.21265629 -0.14534076 0.00845752 -0.0060813 0.19423398 0.0196204 0.02071057 0.04817325 -0.02331338 0.17520013 -0.00111925 0.07317589 0.18625164 0.04209812 -0.20549487 0.15200529 0.02431045 0.12144447 0.00891238 0.00721106 -0.01754187 -0.00112094 -0.01520597 0.05031719 0.17871922 0.07105569 -0.00655903 -0.00377195 0.17340879 -0.00666577 0.0142004 0.02013856 -0.00326566 -0.08308139 -0.1078062 -0.01197414 -0.00262085 -0.00761268 -0.18858698 -0.17005955 -0.05246405 -0.01900424 0.01457051 -0.01576367 0.00564514 -0.00326322 -0.01909888 0.0128812 0.00461997 0.00200902 -0.00307434 0.00418633 0.00313973 0.00958653 -0.1869549 -0.13318646 0.0124984 0.01128213 0.1885786 0.18644032 0.00586085 -0.08234019 -0.01556303 0.04511455 0.01957505 -0.15793148 0.00637852 -0.0132194 -0.00715561 0.00637744 -0.08174488 0.01513619 0.01117609 0.10400723 0.01855086 0.00389881 0.00218304 -0.09580133 0.15234418 0.20078157 0.15800491 0.00401572 0.00264845 -0.08803974 0.02697279 0.15058517 0.01828044 0.00237438 -0.0116207 0.14771588 -0.0929152 -0.04722415 -0.00515047 -0.03305553 0.04609231 -0.00810593 -0.18478045 -0.17999628 0.00503853 -0.00780646 0.09481181 0.0145069 0.0088395 -0.17905787 -0.13921332 0.10081107 -0.01057037 -0.01037139 -0.01217881 -0.06717148 0.09735338 -0.01740627 0.17677781 0.00600998 -0.00293638 -0.09268204 0.03242204 0.01136722 -0.06566727 -0.0532979 0.10048389 0.00169606] Cos Similarity tf.Tensor(0.556905, shape=(), dtype=float32) (128,) (128,) [-2.81596323e-03 1.50260270e-01 -8.13110247e-02 -9.24191549e-02 -4.58782129e-02 -1.64694548e-01 1.14230737e-01 1.12140663e-01 1.19305328e-02 -3.37571953e-03 -2.33942255e-01 7.34209389e-05 8.00397899e-03 -1.26278475e-01 8.97223130e-02 4.91715558e-02 -5.72957238e-03 -1.05318673e-01 1.55630842e-01 1.53963834e-01 -4.74059619e-02 2.66826581e-02 -3.45630348e-02 -6.58778613e-03 -1.50320791e-02 4.00929525e-03 4.59994897e-02 -7.31053250e-03 1.51762843e-01 1.91073492e-01 2.23357201e-01 1.26283541e-01 -3.80064524e-03 -1.09509174e-02 1.75635901e-03 2.25455426e-02 -2.33646110e-03 -1.44439772e-01 -5.48768882e-03 -4.10126708e-02 5.82934879e-02 4.94708540e-03 -1.09787390e-03 8.72819871e-03 7.58611411e-03 -1.64148986e-01 1.78681374e-01 4.18435736e-03 7.67816463e-03 1.26375901e-02 1.19909374e-02 3.70663329e-04 -2.61719786e-02 7.30796158e-03 -8.75356887e-03 1.11278743e-02 4.24283296e-02 1.00874379e-02 -3.01894057e-03 -2.06625778e-02 -2.20678627e-01 1.01326458e-01 -1.67566046e-01 -2.23970693e-02 2.48284098e-02 9.95911732e-02 -9.18229576e-03 -7.29816705e-02 -3.52875032e-02 1.88161418e-01 8.32558572e-02 9.56677645e-03 -1.03021106e-02 4.96512884e-03 -1.10319145e-02 -5.49384579e-03 -1.67480618e-01 -2.25503240e-02 1.79240282e-03 -1.12362087e-01 -1.47582591e-02 5.47891930e-02 -9.64679755e-03 -1.32612452e-01 6.95501640e-02 1.11323530e-02 1.49034619e-01 7.51656434e-03 -8.61747097e-03 -1.30474523e-01 1.72491744e-01 1.27269551e-01 6.44154940e-03 7.35321781e-03 -1.01626897e-02 6.21724091e-02 1.94758475e-01 -1.25126779e-01 -8.56669433e-03 -8.78972840e-03 -4.30438779e-02 4.37733904e-02 5.53103983e-02 -1.56052142e-01 -6.54311432e-03 1.07257338e-02 6.50002584e-02 1.31323794e-03 -1.46701680e-02 -3.63817252e-02 -1.61662400e-01 -1.14063166e-01 -6.53120317e-03 -3.50064249e-04 1.97221860e-02 1.75470412e-01 4.81354147e-02 -1.06468694e-02 -1.91675067e-01 -3.17932703e-02 9.60450037e-04 6.97461814e-02 1.52295623e-02 -1.87702086e-02 1.16275378e-01 7.64904870e-03 1.46008074e-01 -9.33849253e-03] [-0.07874833 0.15449166 -0.09813999 -0.08455028 -0.04758495 -0.16456668 0.10976377 -0.02580033 0.01289079 0.00108566 -0.23326357 -0.00352007 0.01509686 -0.13104518 0.04828887 0.03690892 -0.00275572 -0.10213806 0.16447622 0.15590814 -0.07140815 0.02852496 -0.02204541 -0.00343404 -0.01264148 0.00228718 0.10475689 -0.00818495 0.15458009 0.17145333 0.21667983 0.11527205 -0.00454449 -0.00640058 0.00988912 0.03506855 -0.00145902 -0.1560749 0.00192115 0.00023853 0.05386157 0.0046479 0.00075067 0.00520967 0.02279704 -0.17177741 0.17501308 0.00357943 0.00763734 0.01094677 0.01037987 0.00097184 -0.03161572 0.00528612 -0.01796465 -0.00024224 0.02432814 0.00342095 0.00091461 -0.02130064 -0.21791072 0.08207736 -0.17374738 -0.02117576 0.02125974 0.10204788 -0.01807968 -0.07150461 -0.04217358 0.19359888 0.09723302 -0.00482575 -0.01067335 0.00377044 -0.00560136 -0.0086895 -0.1401754 -0.03502974 -0.00107733 -0.06614936 -0.00840863 0.06568768 -0.0108745 -0.13331415 0.13621813 0.026255 0.12954351 -0.00068702 -0.00882815 -0.16512494 0.17711766 0.1687016 0.01069376 0.00975071 -0.00954331 0.08545751 0.19155857 -0.11162009 -0.00782572 -0.01334839 -0.07782736 0.07761987 0.04106562 -0.16402955 -0.00608381 -0.00369299 0.08416203 0.00352465 -0.00888277 0.00268731 -0.15245683 -0.0875461 -0.01503816 -0.00959835 0.02042803 0.11155183 0.03574915 -0.00623857 -0.19313027 -0.02749173 0.00122458 0.07541865 0.01447439 -0.01579594 0.11484379 0.00604096 0.14747603 -0.00608992] Cos Similarity tf.Tensor(0.970865, shape=(), dtype=float32) (128,) (128,) [ 0.05173837 -0.20101552 -0.02306539 -0.14890113 -0.01329166 0.06041188 -0.2346708 0.13234805 0.0034472 -0.01180878 -0.0194359 -0.02212421 -0.00039596 -0.00392677 -0.02399573 0.07484342 -0.00519087 0.02213049 -0.05009201 0.14963958 0.01696234 -0.15082605 -0.01857159 -0.02773436 -0.01068687 0.00871565 0.07196582 -0.00953533 0.03771548 -0.17959483 0.05002122 -0.09847309 0.00525702 -0.02232596 -0.19974124 -0.01377958 -0.020252 0.06600545 -0.00893308 -0.10333716 -0.16880393 0.01505814 0.00170893 0.0043538 0.18676221 -0.04113974 -0.17419723 -0.01740192 0.00628287 -0.00775013 0.00291268 0.00320592 -0.00383579 0.00546136 -0.00723856 0.01164156 -0.11027276 -0.00023643 -0.00968375 -0.013825 -0.21058315 0.17387748 0.14563613 0.00473404 0.02539542 -0.03582677 -0.00664878 0.03369268 -0.00963802 0.10073274 -0.00722638 -0.09564953 -0.0059194 0.01195086 -0.01733722 -0.00297837 -0.18681698 -0.00344706 -0.00746862 0.18794933 -0.01584643 0.00583825 -0.00733478 0.15491179 0.0035793 -0.18509388 0.10699715 0.0101667 -0.01024037 0.08289456 -0.02062414 0.14496468 0.01052966 0.01265741 -0.00059524 -0.0562268 -0.01647556 -0.20690331 -0.00300261 0.01499602 0.21275657 0.14265032 -0.03538638 0.19940536 -0.00075575 0.00962248 0.12831411 -0.00185083 -0.0080102 -0.08619871 -0.00668441 -0.20180903 -0.01268516 0.14637269 -0.10078059 0.04699219 0.08982006 -0.01690737 0.00876891 -0.0203278 -0.00233751 -0.06880895 0.00687956 -0.01268883 -0.1538002 0.07552997 -0.04157858 -0.0058885 ] [ 9.68069285e-02 -1.19882718e-01 -3.42019759e-02 -1.52144372e-01 -5.30551793e-03 -1.55801222e-01 -1.76232725e-01 1.40671805e-01 -6.31564762e-04 -1.30571201e-02 -2.13860452e-01 -1.76955312e-02 3.82200954e-03 4.02374119e-02 -1.82669908e-02 -1.23922080e-01 -1.62450876e-03 -9.09376219e-02 -1.24826163e-01 -9.53426808e-02 -8.63476321e-02 2.53324546e-02 -6.26677424e-02 1.03314266e-01 -8.76236800e-03 9.15174931e-03 1.45282457e-02 -2.48723552e-02 2.01963991e-01 -7.90977925e-02 9.48365405e-02 -1.70916393e-01 6.95769629e-03 -3.19595039e-02 -1.84859022e-01 -2.19518282e-02 -1.20324846e-02 5.73770329e-03 -9.66976397e-03 -1.01337038e-01 -1.43743053e-01 8.51609092e-03 -3.02666984e-03 5.18604275e-03 1.23927712e-01 -1.17894925e-01 -1.35520101e-01 -1.93920750e-02 7.43596116e-03 -2.37481738e-03 2.63928901e-03 9.87010309e-04 -2.86321295e-03 8.18941928e-03 -8.83354619e-03 1.12045389e-02 -1.48285210e-01 -6.62132225e-05 -1.41027551e-02 -2.21648533e-03 -1.93812773e-01 1.62266314e-01 1.80651322e-01 2.53967213e-04 1.60988013e-03 -2.84155570e-02 -6.81407424e-03 1.88399740e-02 -1.05988942e-02 4.81956713e-02 -2.65732902e-04 -1.48878664e-01 -2.98891007e-03 1.12166181e-02 -1.86520722e-02 -1.41354708e-03 -1.19155593e-01 9.78426859e-02 -1.51984312e-03 1.77930012e-01 -2.00013258e-02 5.83845144e-03 -5.62794041e-03 1.50748342e-01 -1.50266171e-01 -1.52486414e-01 1.53109834e-01 6.01037545e-03 -1.82073505e-03 2.82337796e-02 -4.70128432e-02 1.50895074e-01 1.80313438e-02 1.31678395e-02 -9.80113819e-03 1.02176599e-01 2.88918260e-02 -1.99473977e-01 -3.02800653e-03 1.55105926e-02 6.62775561e-02 1.75381422e-01 -1.05605423e-02 1.76994354e-01 2.10543605e-03 -1.48637232e-03 1.75375253e-01 2.15818789e-02 -6.02268428e-03 -1.34249419e-01 9.64684859e-02 -1.62468433e-01 -8.95158760e-03 1.33042631e-03 -5.20656034e-02 1.27151934e-02 -8.69492218e-02 -1.58527400e-02 9.53126103e-02 1.35685585e-03 3.33858002e-03 -5.55475317e-02 8.54387041e-03 -1.67208798e-02 -9.35310423e-02 3.14567126e-02 2.52443478e-02 -9.01061110e-03] Cos Similarity tf.Tensor(0.73021865, shape=(), dtype=float32) (128,) (128,) [ 1.94833651e-01 -9.85386670e-02 3.77677903e-02 -4.42203060e-02 -5.64339396e-04 -1.63045853e-01 1.33262714e-02 -2.01774091e-02 3.61634535e-03 -7.48196850e-03 -6.46666214e-02 -5.89208025e-03 1.44997463e-02 1.42875314e-01 4.22884971e-02 1.04354516e-01 -1.69987362e-02 -7.98130706e-02 -4.30181548e-02 1.06935874e-01 -1.35170281e-01 -4.14687917e-02 1.36552989e-01 1.00218281e-01 -1.80609226e-02 5.33575076e-04 1.24251597e-01 -2.76076961e-02 1.93782672e-01 -9.13671106e-02 -1.96435750e-01 1.44754082e-01 1.31249195e-02 8.69674049e-03 -4.82067466e-02 3.79538722e-03 -4.82956506e-03 -1.95127994e-01 -3.00981360e-03 1.13896564e-01 -1.90011859e-01 -1.59240942e-02 -8.52850499e-04 2.13216944e-03 -1.81726012e-02 -6.55732974e-02 1.39169037e-01 5.57026546e-03 3.19793215e-03 1.32835878e-03 1.62069907e-03 5.51627297e-03 -6.69381768e-03 3.85823892e-03 3.59728979e-03 5.58198942e-03 1.53225750e-01 -1.88516953e-03 2.53400905e-03 -7.94157479e-03 -5.88367358e-02 4.54970077e-02 1.19120963e-01 -2.05283668e-02 -1.68854356e-01 5.67327440e-02 -1.92088692e-03 9.41406637e-02 -9.54754837e-03 -2.19401661e-02 3.47784758e-02 -1.32230967e-01 1.59304633e-04 5.53498510e-03 -5.37983235e-03 8.26966297e-03 1.41007870e-01 1.56513661e-01 -5.42980488e-05 -4.04876983e-03 -6.84518460e-03 7.94570222e-02 -2.15558661e-03 -1.19283490e-01 -2.07686409e-01 1.00903176e-01 -1.05668463e-01 4.94293543e-03 -4.82217874e-03 1.54214546e-01 7.75240213e-02 1.99682206e-01 -7.83903990e-03 -3.79959214e-03 2.17064307e-03 1.60566062e-01 -3.97137292e-02 -8.58251527e-02 -1.18971826e-03 -2.05755651e-01 -1.15616791e-01 -6.18847972e-03 1.39633968e-01 1.15710519e-01 -1.81660578e-02 -3.67176463e-03 1.60375044e-01 2.08260156e-02 -2.42637441e-04 -1.30373582e-01 1.68883547e-01 1.38395488e-01 -1.48722082e-02 -9.07856524e-02 -5.16483150e-02 -4.86789718e-02 4.38644513e-02 -1.10267270e-02 1.88815042e-01 -1.16297677e-02 -4.76866309e-03 8.25544968e-02 1.60329626e-03 -2.42271386e-02 -2.34686467e-03 4.38246503e-02 3.46551612e-02 -5.57311159e-03] [-0.16265903 0.18569304 -0.05404192 -0.14810109 -0.01691578 -0.01790738 0.13004678 -0.20547487 0.00706916 -0.00344211 -0.17877042 -0.00372625 0.01204882 0.0115087 0.07729742 -0.11868757 -0.00335536 0.01921888 0.21491 -0.01824514 -0.14725557 -0.0439911 0.19446461 0.00697756 -0.01441467 0.00121534 0.02316762 -0.03387898 -0.01625486 -0.00025318 -0.05279142 0.12946121 -0.00497234 -0.01250282 0.08978926 -0.0006961 -0.00575842 -0.15883724 0.00116122 -0.03714177 -0.05203168 -0.00452124 -0.00606683 0.0011289 -0.15764023 -0.00577666 0.06498751 0.00235457 0.00456321 0.01419122 0.00823229 0.00098904 -0.01717178 0.00170118 -0.01543623 -0.00467402 -0.05539867 0.00207444 0.00295972 -0.01067686 0.06078826 -0.07966365 -0.10719533 -0.00898757 -0.20617014 0.1497765 -0.02597413 0.02701926 -0.02689967 -0.03186379 -0.10730018 -0.1638477 -0.00278221 0.00454895 -0.00866841 0.00269335 0.07615288 0.02546957 -0.00625635 0.14598906 -0.01176085 0.02665788 -0.00568381 -0.0646626 -0.18092388 0.19218293 0.1488733 -0.00309617 0.00029226 0.21003722 -0.08057842 0.09102406 -0.00057997 0.00408012 -0.0018 0.17477438 0.12213522 0.05815349 -0.02025102 -0.20759755 0.0437521 -0.080013 -0.17160267 0.08993995 -0.01265936 -0.00892617 0.12403388 0.00430792 -0.00919756 -0.16486831 0.08089068 0.08632582 -0.01846209 0.01044301 -0.00031196 0.13461584 0.14396311 -0.01122417 0.14514008 -0.01623931 0.00338531 0.1659688 0.00894533 -0.01666244 -0.07089692 0.01235017 0.01859929 -0.01042388] Cos Similarity tf.Tensor(0.37748286, shape=(), dtype=float32) (128,) (128,) [-1.52510300e-01 2.47707274e-02 1.39942691e-01 1.73806563e-01 -8.85414053e-03 5.94893098e-02 -1.56605929e-01 -2.03346357e-01 -3.25616542e-03 -9.73008852e-03 1.89116672e-01 5.61851542e-03 6.54118834e-03 -5.42663410e-03 7.76959956e-02 -1.72174573e-01 -2.09922697e-02 1.87726364e-01 1.10455647e-01 6.94785565e-02 1.50961310e-01 1.99365348e-01 -6.18963204e-02 -4.82604504e-02 -9.53863282e-03 1.34940457e-03 -1.64960459e-01 1.79486966e-03 -1.32861763e-01 6.67506247e-04 -2.04889670e-01 -1.17450818e-01 -1.00438856e-02 2.63323565e-03 -1.96289375e-01 6.54045725e-04 -1.88878607e-02 7.88873509e-02 4.30013565e-03 1.44317329e-01 1.99317694e-01 7.64818490e-03 -1.24799646e-02 4.67811152e-03 -9.61134117e-03 -1.24779709e-01 -8.32546949e-02 2.94098933e-03 1.41515089e-02 9.96437855e-03 5.79140941e-03 -1.90564175e-03 -8.52970500e-03 7.57136662e-03 -5.77292964e-03 4.84896358e-03 -2.13310532e-02 6.13946933e-03 1.51980454e-02 -3.25173303e-03 1.64376453e-01 2.42572203e-02 3.33428606e-02 -1.42512368e-02 -1.48207277e-01 6.32141065e-03 5.87039208e-03 2.55088322e-02 1.62225543e-03 1.17971800e-01 -8.33469108e-02 -1.07505165e-01 -5.60356025e-03 8.71347077e-03 -1.58394836e-02 1.65955033e-02 -6.32999241e-02 -1.32296354e-01 5.88270277e-03 2.24434659e-02 5.84291015e-03 -2.36748029e-02 5.76894032e-03 -3.57200354e-02 3.86715792e-02 3.32652219e-02 -1.38549596e-01 1.08225094e-02 -6.75423816e-03 -3.90058160e-02 7.33866990e-02 2.33476311e-02 1.47107570e-02 1.83876045e-03 -2.13155020e-02 -1.59702867e-01 1.69370711e-01 -1.26815870e-01 1.41548999e-02 -4.86484766e-02 9.03447047e-02 -1.41914502e-01 1.11842908e-01 1.59474880e-01 6.14541909e-03 -1.39574483e-02 4.63913679e-02 6.78405631e-03 2.21164012e-03 -4.42384044e-03 -9.58003849e-02 -5.65729477e-02 -7.07027782e-03 -1.16703326e-04 -4.90575060e-02 1.21027604e-02 -1.95672899e-01 -5.22253569e-04 1.46664992e-01 6.76258653e-03 -5.07382117e-03 -1.78876534e-01 3.52020711e-02 -1.13938283e-02 -1.87066868e-01 -9.05319750e-02 -3.85492630e-02 4.07215580e-03] [-1.93590939e-01 -1.20791517e-01 8.92010629e-02 1.03520356e-01 -1.30935693e-02 -8.37091804e-02 -1.82039529e-01 -1.60405755e-01 1.26057141e-03 -3.90329328e-03 1.95811346e-01 4.91364161e-03 2.06511864e-03 -5.16387410e-02 4.28975001e-02 -1.82246774e-01 4.44897264e-03 1.17495164e-01 -7.23197237e-02 2.36833412e-02 1.72504291e-01 9.27543789e-02 -4.16713730e-02 -2.03599017e-02 -1.62927136e-02 6.84951572e-03 -1.71801582e-01 2.00242288e-02 -1.07123531e-01 1.39019698e-01 -1.74294874e-01 2.31012236e-02 1.76003277e-02 -7.82053079e-03 1.00691415e-01 -9.15664062e-03 2.72561272e-04 1.70739368e-01 1.65078156e-02 9.01729837e-02 1.46119237e-01 -3.59113980e-03 -2.59002997e-03 1.44415181e-02 3.17097339e-03 -1.94996327e-01 -1.33007154e-01 1.34965330e-02 1.14561124e-02 -2.25224416e-03 9.24632698e-03 -2.33981595e-03 -1.66738443e-02 1.71673931e-02 9.26633924e-03 1.04470889e-03 1.18958645e-01 -5.16453711e-03 1.62233543e-02 1.21445907e-03 1.23356611e-01 -1.42189935e-01 3.26506495e-02 8.11011903e-03 1.17680639e-01 -3.88796516e-02 7.99918827e-03 8.15244019e-03 6.21480308e-03 1.37305677e-01 -5.61088622e-02 -1.48817271e-01 -6.87323371e-03 1.17183365e-02 -6.71424810e-03 3.25102620e-02 -1.28242850e-01 7.38223791e-02 3.35887284e-03 3.63391126e-04 1.37725389e-02 -7.32156588e-03 8.25951993e-03 1.31829962e-01 8.55041742e-02 1.88029468e-01 1.30635589e-01 1.36008328e-02 -1.39083585e-03 1.71754465e-01 2.21358705e-02 -1.78455144e-01 1.27046769e-02 -8.93494114e-03 -6.23758679e-05 -1.03797667e-01 1.80652887e-01 -2.97358073e-02 6.99414825e-03 -9.63794813e-02 1.57183260e-01 -4.15496640e-02 -1.01403289e-01 2.03321397e-01 -6.73814258e-03 -1.14865107e-02 -1.11365865e-03 -2.67126202e-03 1.76512394e-02 -1.15619563e-02 3.35900187e-02 -1.36027168e-02 6.78132242e-03 -8.40496421e-02 -3.52678485e-02 1.61812603e-01 -1.30171001e-01 9.54678562e-03 -9.86620784e-02 -2.96220034e-02 1.82281306e-03 4.49888930e-02 3.37166190e-02 -1.01970742e-02 -1.72912627e-01 7.70990029e-02 4.01982199e-03 -7.41283060e-04] Cos Similarity tf.Tensor(0.5362993, shape=(), dtype=float32) (128,) (128,) [ 1.66083202e-01 2.06668824e-01 9.08984616e-02 -2.76887286e-02 -9.81968455e-03 1.10900002e-02 -1.68581158e-01 1.63271472e-01 -2.02291012e-02 -7.74986297e-03 -1.17514633e-01 3.00797028e-03 8.18150397e-03 6.84096366e-02 6.85623810e-02 -1.05346523e-01 -1.26936994e-02 2.59489287e-02 2.10324019e-01 -6.90702423e-02 -1.13715447e-01 1.93656132e-01 -1.25852125e-02 -1.19668685e-01 -1.28549319e-02 2.67338916e-03 -2.17763290e-01 -2.74391030e-03 3.02044097e-02 2.21519351e-01 -2.10242253e-02 -1.99090708e-02 -2.50172131e-02 2.52597895e-03 -1.52581975e-01 1.17878653e-02 8.81313346e-04 -9.17303264e-02 -1.21134138e-02 5.61809354e-02 1.39728352e-01 1.29626710e-02 8.81542079e-03 1.71580315e-02 1.56713799e-01 4.47266847e-02 -8.23224932e-02 1.16643717e-03 7.46552367e-03 2.48701647e-02 9.90899093e-03 5.05524641e-03 -3.48702469e-03 8.79052328e-04 2.21372626e-04 1.18680159e-02 1.90015495e-01 -7.91137852e-03 1.86635293e-02 -2.31978483e-03 1.15527458e-01 8.57057050e-02 -1.79523695e-02 -1.53657063e-04 2.13508178e-02 1.94728673e-01 -2.51991255e-03 5.63441813e-02 5.24015585e-03 1.37797922e-01 1.08876288e-01 2.16826513e-01 3.56042432e-03 1.18094664e-02 -1.57631766e-02 1.90328006e-02 -1.56602740e-01 -8.75614211e-02 1.00662028e-02 -8.73499960e-02 -4.44701454e-03 -3.42012686e-03 1.39814103e-02 1.60886124e-01 -2.03509387e-02 -9.54143703e-02 7.00208768e-02 1.26733948e-02 -3.17763793e-03 -1.31091893e-01 1.04558326e-01 1.11795932e-01 9.56555456e-03 1.53143313e-02 7.26849539e-03 -8.79672170e-02 -1.38189286e-01 2.97023393e-02 -6.77521201e-03 1.92758650e-01 1.50754616e-01 1.04736008e-01 2.46472880e-02 -3.29568349e-02 -6.66167680e-03 5.24191465e-03 3.80453169e-02 -2.87477887e-04 -8.23879708e-03 1.04005169e-02 4.40449156e-02 -1.59044772e-01 3.05159041e-03 2.74704434e-02 -7.05328211e-02 1.01073422e-01 1.23933092e-01 -1.40016954e-02 -9.98977944e-02 6.76334370e-03 -4.61150339e-04 -9.71461907e-02 1.20528098e-02 -1.86544918e-02 -2.09428445e-01 -5.59800565e-02 -1.26938056e-02 4.83900355e-03] [ 1.49495244e-01 2.07599789e-01 9.93735269e-02 -1.51437046e-02 -7.82018062e-03 8.14158469e-04 -1.56827465e-01 4.24401201e-02 -2.41337973e-03 -5.02531650e-03 -1.46330655e-01 6.88512018e-03 1.63358953e-02 1.48530304e-01 7.19550848e-02 -9.36938152e-02 -9.83613264e-03 4.51838896e-02 2.19799161e-01 -7.60658383e-02 -1.07988812e-01 1.68760762e-01 6.16545640e-02 -1.35416090e-01 -6.66411780e-03 -9.26204782e-04 -1.69773594e-01 -1.86677999e-03 9.15142745e-02 2.16040164e-01 -3.84185351e-02 -9.55966040e-02 -1.71812102e-02 1.64716970e-02 3.22775468e-02 2.30848584e-02 3.10726906e-03 -4.82928418e-02 -1.38725862e-02 1.61274016e-01 9.45073888e-02 -3.79426498e-03 6.89315004e-03 1.17430873e-02 1.52408257e-01 1.32781073e-01 -8.28718618e-02 3.46060819e-03 1.01143410e-02 1.62617564e-02 1.02517726e-02 6.86292257e-03 4.59089730e-04 -7.94302439e-04 9.06938594e-03 1.02257235e-02 2.16076121e-01 -1.12971421e-02 2.01015770e-02 -4.18192940e-07 1.28755212e-01 1.23918496e-01 -3.41539010e-02 -3.54245910e-03 -2.99553312e-02 2.15933993e-01 6.63596264e-04 4.92818095e-03 6.01231493e-03 1.29059196e-01 1.06399298e-01 1.81898370e-01 2.29432946e-03 1.76267140e-02 1.31885824e-03 2.08971798e-02 -1.47820234e-01 -1.58811793e-01 8.40028562e-03 -7.74985999e-02 -1.89350176e-04 -1.93373649e-03 7.88804051e-03 1.44150302e-01 -2.25353870e-03 -6.02461956e-02 -7.09121674e-02 1.42526533e-02 2.30354653e-03 -1.35458931e-01 1.11565001e-01 1.34198248e-01 1.38470987e-02 1.37719384e-03 9.45663266e-03 -6.44409060e-02 -1.17364086e-01 1.43184312e-04 -2.99166259e-03 8.63500312e-02 1.37666047e-01 1.52126178e-01 6.13949783e-02 -9.56725888e-03 -6.34215074e-03 8.56634229e-03 6.67101815e-02 1.71581993e-03 -6.75335294e-03 1.62076112e-02 5.94814457e-02 -1.52657002e-01 4.99841478e-03 -4.82338071e-02 -5.30540496e-02 7.23305717e-02 1.71419129e-01 -1.35567356e-02 -1.32196292e-01 6.71122968e-03 3.80032270e-06 -9.43349600e-02 -4.82188538e-03 -1.98552664e-02 -2.06960410e-01 -5.54828830e-02 3.78023833e-02 1.81330170e-03] Cos Similarity tf.Tensor(0.91520995, shape=(), dtype=float32) (128,) (128,) [-1.25620171e-01 -1.03089817e-01 -6.11609332e-02 3.69524322e-02 -3.52695957e-02 8.34705606e-02 -3.34699824e-02 -1.80960611e-01 1.87618863e-02 -5.07421233e-03 8.33824128e-02 -3.97982681e-03 -1.82318054e-02 -1.57179400e-01 7.45172193e-03 7.83892944e-02 7.97336549e-03 -1.38866752e-01 8.39681849e-02 1.51527837e-01 -1.25644997e-01 -2.16923326e-01 -3.15838456e-02 7.90445209e-02 4.56684129e-03 2.65687355e-03 -3.61507945e-02 1.72123458e-04 1.02845440e-02 -8.30318183e-02 2.03449458e-01 -5.52053228e-02 7.00850692e-03 -1.60887837e-02 -1.06646791e-02 -3.17557179e-03 -4.24887985e-04 -1.38717756e-01 1.56285763e-02 -5.15122563e-02 -4.60849004e-03 4.62778931e-04 -3.34868184e-03 3.53695638e-02 -1.71688363e-01 5.27364062e-03 1.79500073e-01 1.54286092e-02 1.37987854e-02 -2.32328381e-03 1.46087399e-02 -1.39777234e-03 -1.36244651e-02 9.28463787e-03 -1.78508926e-02 3.23946611e-03 -1.03365853e-01 2.59693991e-03 7.96838012e-03 -6.12582266e-03 -2.10718498e-01 -2.89605651e-02 -1.32717565e-01 -6.77467091e-03 4.26742248e-02 1.13106258e-01 -9.71849728e-03 1.32387951e-01 -1.20761609e-02 8.36176127e-02 -4.16956246e-02 -1.47457629e-01 4.50315978e-03 -5.58848586e-03 -6.11626450e-03 9.83181130e-03 1.32269278e-01 -2.73779649e-02 -5.24231512e-03 -1.01297699e-01 8.64373893e-03 -3.95495631e-03 -2.92834304e-02 -1.35988882e-02 9.48766991e-02 9.18423161e-02 1.64288096e-02 8.29069689e-03 -1.14442629e-03 2.42353484e-01 -5.36137447e-02 -1.76701248e-01 4.62452369e-03 5.39797265e-03 -7.47855287e-04 1.98977098e-01 2.04578210e-02 -6.04061224e-02 -7.02111889e-03 -6.30082712e-02 -1.13663405e-01 -2.63796300e-01 5.82512394e-02 -2.46755958e-01 -9.53271752e-04 6.94502145e-03 5.99300265e-02 3.59591693e-02 -1.40710780e-02 -1.77110657e-01 -1.78347230e-01 1.55572087e-01 -2.61538215e-02 7.66697600e-02 -3.42135094e-02 5.42885959e-02 8.56559798e-02 -1.20296460e-02 9.15964171e-02 -3.24804075e-02 1.67285036e-02 -6.05777204e-02 3.43105085e-02 2.05489038e-03 1.01237647e-01 1.12027273e-01 -9.58724692e-02 -1.88065344e-03] [-0.11431239 -0.20017374 0.02391572 0.1410154 -0.02712154 0.06400166 -0.1586049 -0.07286923 0.01243014 0.00023324 -0.0850367 -0.00881322 0.01634115 -0.16260625 0.01436501 -0.0576394 0.00975124 0.04166374 0.1717378 0.17276675 0.02052344 -0.20984292 0.08896856 0.12829801 0.01305565 0.00404783 -0.1295683 0.00661614 0.04439281 -0.2043393 -0.08087755 -0.20749782 0.00863193 -0.00822627 0.01860138 0.01148694 -0.01333505 -0.1426626 0.00229088 0.01997852 0.14452556 -0.00099942 -0.0008434 0.01842104 -0.17061083 -0.1347771 0.14263251 0.01014073 0.01549008 0.00452871 0.01576299 0.00336965 -0.01988842 0.00749891 -0.01068748 0.00330269 0.02517683 -0.00226159 0.00174815 0.00087106 -0.14072973 0.0069848 0.00212292 -0.0170748 -0.10223214 -0.11318163 -0.00715173 0.09225651 -0.00771566 -0.0084271 -0.03014252 -0.18067698 0.00226297 0.00243991 -0.00258782 0.01304481 0.15088303 0.11382909 -0.00187704 -0.20549786 0.00109267 0.00280137 -0.00678082 0.00631376 -0.04471697 -0.11774838 -0.13628721 0.00629165 -0.00336473 0.14061725 -0.0404506 -0.09726862 0.01401913 0.00267206 0.00701821 -0.13665158 -0.0375891 -0.01648933 0.01258505 -0.19038546 0.03485728 -0.13139616 0.10971495 -0.13718538 0.00346461 0.00040386 0.1788891 0.0301674 0.00252548 -0.09057488 -0.09033013 0.13413163 -0.00849125 0.14504294 0.01335934 0.12346072 -0.07760898 -0.00050111 0.14452374 -0.02040646 0.00265387 0.12744235 0.02378072 -0.0017985 0.03437226 0.09760919 -0.08088996 0.00021713] Cos Similarity tf.Tensor(0.5380742, shape=(), dtype=float32) (128,) (128,) [ 0.13914676 0.17606533 -0.15326631 -0.05119091 -0.03287907 -0.00793088 0.07607661 -0.2343361 0.00888053 -0.00689233 0.02182694 -0.00872086 0.00904979 -0.18019834 0.11303047 0.01616534 -0.01090847 0.14540201 0.09186903 -0.0793437 0.01997452 0.20180446 -0.14807057 -0.20499484 0.00094195 0.00817708 -0.21777259 0.00170932 -0.20534088 -0.20189585 0.15128238 -0.11211056 -0.00581475 -0.02555117 -0.06920435 -0.01133653 -0.00421315 -0.16962363 0.00271423 -0.12394772 0.14891599 0.00550905 -0.00299576 -0.01372664 0.00966015 -0.07325877 -0.15001327 -0.0088776 0.00582128 0.01111124 0.00565727 0.00070628 -0.02340654 -0.00066736 -0.01604356 0.0010461 0.10029538 -0.00399765 0.00352187 -0.01206832 0.11511901 -0.09600614 -0.17655228 -0.0080216 -0.05669137 0.12407647 -0.02649218 -0.00032689 -0.02221184 -0.1019 -0.16357236 -0.19792098 0.00028773 0.0095453 -0.01039907 0.00686656 0.02291787 0.12582153 -0.00244123 0.06087083 -0.0054379 0.068719 0.01626273 -0.08300633 0.05645287 -0.02284858 0.05591195 -0.00036381 -0.00733243 0.02623236 0.15630291 0.02393918 -0.00087285 0.0061481 -0.00649908 0.08252916 0.02791034 0.06924567 -0.00411643 0.06011873 -0.16612574 0.15643775 0.11738868 0.04684536 -0.01663495 -0.01234204 0.16361342 0.02173568 -0.01161307 -0.04443615 0.01158878 -0.09068294 -0.00395992 0.09640633 0.03808049 0.11956263 0.15849824 -0.00189851 -0.07341479 -0.03042756 0.00274151 0.01403847 0.01294992 0.02987199 -0.00604981 0.03478822 0.03341602 -0.00064513] [ 4.41867821e-02 1.72690094e-01 -1.75615683e-01 -1.02028027e-01 -3.38642374e-02 4.47345059e-03 -2.35096104e-02 -2.33144253e-01 7.65951071e-03 -3.65939573e-03 3.29257995e-02 -1.07337115e-02 9.86722857e-03 -1.83264494e-01 3.68178226e-02 -8.72445852e-02 -8.83923471e-03 9.89765450e-02 1.67796060e-01 -1.00527748e-01 2.34789643e-02 1.34379208e-01 -1.01813167e-01 -2.05923751e-01 2.01697974e-03 1.46642681e-02 -2.28589565e-01 9.63484682e-03 -2.05562100e-01 -2.10504100e-01 7.71834850e-02 -9.42173004e-02 2.92320387e-03 -1.86005216e-02 -1.00308917e-02 -1.02460478e-03 9.73632792e-04 -1.53425112e-01 1.88797060e-03 -1.60509691e-01 1.51434869e-01 1.84416538e-03 3.24578083e-04 3.73411761e-03 -4.71489765e-02 -9.14128423e-02 -1.29178211e-01 -3.72921792e-03 8.20480846e-03 1.01551777e-02 6.25587022e-03 1.07186977e-04 -1.56100197e-02 4.30738088e-04 -1.70843899e-02 1.66577840e-04 9.83661413e-02 -2.72526243e-03 5.39528392e-03 -1.23001414e-03 4.44842018e-02 -1.02256991e-01 -7.30659142e-02 -5.05673420e-03 -5.13912477e-02 1.48542687e-01 -3.21411081e-02 -1.82133451e-01 -1.80343855e-02 -8.81354287e-02 -1.66784257e-01 -2.40326270e-01 1.18059781e-03 1.01189381e-02 -9.15653631e-03 1.14266230e-02 2.03828961e-02 1.15388267e-01 -4.04202333e-03 -8.02504867e-02 1.97149906e-03 -6.09709024e-02 1.50443697e-02 5.83713837e-02 -6.09321520e-02 1.02066726e-03 2.13312302e-02 2.51847249e-03 -2.28586281e-03 1.42319307e-01 1.29487082e-01 3.86436619e-02 3.80312745e-03 8.89203325e-03 -6.23534899e-03 3.23098078e-02 1.56528562e-01 6.67656586e-02 4.73473556e-05 8.15526675e-03 -1.50467515e-01 1.62541062e-01 1.65901423e-01 4.82027419e-02 -3.97287216e-03 -1.40634608e-02 1.51204005e-01 2.29371581e-02 8.22742004e-04 -4.65701371e-02 1.28675392e-02 -1.20443948e-01 1.63748604e-03 -5.54962978e-02 4.64638695e-02 1.00038491e-01 1.60634592e-01 8.67153239e-03 -6.22650161e-02 -3.08799502e-02 1.06224767e-03 1.48421340e-02 2.31860150e-02 2.02911329e-02 2.64655929e-02 5.39590679e-02 -4.25192118e-02 -2.80750287e-03] Cos Similarity tf.Tensor(0.86733663, shape=(), dtype=float32) (128,) (128,) [ 2.05196813e-01 3.87053266e-02 1.19455069e-01 2.07219496e-02 -1.96496141e-03 4.64959256e-02 -1.75107330e-01 1.93944231e-01 -1.76935550e-02 1.03325881e-02 1.46456555e-01 1.28544206e-02 3.16758733e-03 6.13589175e-02 2.18309350e-02 1.22637853e-01 -2.02539377e-03 1.35994598e-01 1.21651620e-01 2.05370225e-03 9.41200405e-02 1.26601428e-01 3.03405002e-02 3.81627195e-02 -4.33899537e-02 1.35076782e-02 -7.03925965e-03 -7.56900758e-03 -1.35823533e-01 7.33070821e-02 1.45209178e-01 -1.64922804e-01 -1.39559694e-02 1.39078265e-02 1.48195282e-01 1.49509753e-04 -2.77362112e-03 1.53005093e-01 -2.48580631e-02 -1.58771962e-01 -1.28007799e-01 -5.74388367e-04 6.72723958e-03 2.23401953e-02 6.39805347e-02 1.57200888e-01 -2.27596164e-02 1.79962274e-02 7.00229732e-03 2.13022227e-03 7.20845908e-03 2.93997559e-03 4.41600941e-03 6.67980593e-03 1.07872291e-02 2.04401519e-02 -1.87307209e-01 -1.43240914e-02 1.58670023e-02 -7.19869602e-03 3.81535552e-02 -7.87858590e-02 -1.27631977e-01 8.96737445e-03 3.33765335e-02 1.65932566e-01 -1.03567215e-03 5.38860895e-02 4.88634501e-03 1.28887162e-01 -1.32220343e-01 -8.28115419e-02 4.34595579e-03 3.72865843e-03 -1.24267433e-02 1.95817370e-02 -3.12659703e-02 -1.32071361e-01 -1.04933381e-02 8.69733691e-02 -3.71872378e-03 4.79451643e-04 2.87269591e-03 1.76452920e-01 1.21757127e-01 -1.15563460e-02 1.23865038e-01 1.64000448e-02 -2.05216068e-03 -1.00139834e-01 1.72124624e-01 1.14437439e-01 9.32611525e-03 3.27240000e-03 -7.96995871e-03 3.36276889e-02 1.47779062e-01 1.55371070e-01 -1.75382923e-02 -1.55157492e-01 9.85086663e-04 -1.31952658e-01 8.20101500e-02 1.66519657e-01 -1.49830980e-02 -2.02710629e-02 1.59323454e-01 1.69260632e-02 -3.32022905e-02 -9.79772769e-03 -1.65644333e-01 -3.56557816e-02 1.93442800e-03 2.54693087e-02 -8.42131451e-02 -1.18442178e-01 -7.04856440e-02 -2.93457285e-02 -1.98346898e-01 -7.84547534e-03 -3.15040024e-03 -1.14504136e-01 2.12724768e-02 8.08667485e-03 1.91727370e-01 3.11926734e-02 -6.91799298e-02 6.84220868e-04] [ 1.93773091e-01 1.63493499e-01 6.97389320e-02 -5.46770468e-02 -7.02203019e-03 1.46595895e-01 -1.67296425e-01 1.85647711e-01 -1.14285471e-02 -5.59508381e-03 1.95837334e-01 5.15349768e-03 1.44181168e-03 5.91985583e-02 1.86899882e-02 1.10791303e-01 -1.00524016e-02 1.66437980e-02 9.27328616e-02 1.16339577e-02 1.74435943e-01 1.23084068e-01 3.54272053e-02 1.28735498e-01 -3.97525877e-02 7.65976543e-03 4.17962931e-02 -2.20141280e-02 -1.11873545e-01 -1.51361935e-02 1.44546404e-01 -1.64071664e-01 2.14274111e-03 3.71559779e-03 1.06973320e-01 -1.48549844e-02 -1.01780491e-02 1.66410223e-01 -1.17876492e-02 -7.49870762e-02 -1.29033789e-01 2.70884275e-03 5.97782014e-03 6.35588728e-03 6.01211525e-02 1.65883347e-01 -7.99417794e-02 1.77671127e-02 3.44832265e-03 2.29749014e-03 6.20510709e-03 2.69291876e-03 -1.34624972e-03 6.11675205e-03 6.00398984e-04 1.19597642e-02 -1.39286771e-01 -6.72972016e-03 6.51856279e-03 -1.21507486e-02 5.36058005e-03 -7.94588998e-02 -1.32828042e-01 3.58735793e-04 5.76544479e-02 1.22721970e-01 -1.56420493e-03 -2.49714106e-02 -4.66729887e-03 1.23348460e-01 -1.52206242e-01 -4.20347899e-02 6.30668039e-03 -1.64246350e-03 -5.64306602e-03 1.00658312e-02 -2.77439337e-02 -5.58609143e-02 -1.76261726e-03 1.77274480e-01 -9.01535340e-03 -2.09140964e-03 -1.26434024e-04 1.79905757e-01 -5.83509728e-02 -2.28727655e-03 1.17316740e-02 7.72309722e-03 -1.87994016e-03 -5.98780550e-02 1.73792928e-01 1.65338844e-01 7.16195116e-03 5.18941227e-03 -6.99673640e-03 1.40616626e-01 1.52125329e-01 1.33374646e-01 -1.68324057e-02 -1.36039540e-01 -1.14280973e-02 -1.58647209e-01 1.21105999e-01 1.24788471e-01 -1.84047967e-02 -1.25986086e-02 1.73621491e-01 -2.92833080e-03 -4.21857871e-02 1.46743585e-03 -1.56953797e-01 -1.53327510e-01 -2.58271093e-03 8.45526531e-02 -3.82869132e-02 -2.90998630e-02 -4.57475893e-02 -1.68853756e-02 -2.04305381e-01 -1.85769815e-02 -7.43082911e-03 -6.53019249e-02 1.50340488e-02 -1.25048636e-02 1.98359847e-01 7.90740643e-03 5.41075096e-02 -2.58665858e-03] Cos Similarity tf.Tensor(0.8829147, shape=(), dtype=float32) (128,) (128,) [-0.19841824 0.05636549 0.09777064 0.05565914 0.01158237 -0.14400782 0.14683348 0.08630393 0.01620901 -0.00381062 0.18376777 -0.01530787 0.00604271 0.02145835 0.0175 0.17123663 -0.02263706 0.04426663 0.16893134 0.03280162 0.15715106 -0.19342032 0.0024644 -0.14781165 0.0102215 -0.00981276 0.13804951 -0.0038818 0.1707801 0.16358115 0.19062577 0.02948456 -0.00265124 -0.0288085 -0.18896957 0.04223061 0.01708223 -0.16087154 -0.00041461 0.06276012 0.13518238 0.01847425 -0.01412112 -0.00085938 0.00332664 0.18153389 0.04641006 0.00549539 0.00577774 0.0220925 0.00724857 0.00624597 0.0068232 0.00181076 0.0101687 0.00073687 0.07520731 -0.01393695 -0.00111972 -0.00645411 -0.06876338 0.1722044 0.171821 -0.0111852 -0.03435723 -0.00396621 -0.00463128 -0.00193688 0.01062418 0.01009474 0.04095642 -0.19025555 -0.00477425 0.00989867 0.00802287 0.00141935 0.00812627 0.01524419 0.00354351 0.05815225 -0.01684019 -0.00513723 0.00151117 -0.01672867 -0.06405583 -0.08799569 -0.1604676 0.01390109 -0.01198375 -0.17668356 -0.18109688 0.11877845 -0.05472106 0.00773255 0.00863096 0.00992214 0.01814511 0.01805455 0.00225145 0.21055725 -0.1521441 -0.02658106 -0.02806559 -0.07153984 -0.00060211 0.01669427 -0.15185335 0.00728804 -0.00272497 -0.14368118 0.01005178 0.18574384 0.00323941 -0.1192371 0.03481364 0.03333479 0.00257573 -0.00560457 -0.19137163 0.00931781 -0.00368279 0.10997122 0.01517159 -0.02723448 -0.14324053 -0.07324118 -0.01310942 -0.0078549 ] [-0.14641114 0.19087589 -0.00698523 -0.1233419 -0.01258599 0.00353116 -0.13742845 0.07393479 0.01063596 0.01713865 0.13451178 -0.0002056 0.01980744 -0.12757897 0.01437296 0.16182703 0.02613546 -0.1164239 -0.1789075 -0.11673262 0.02360267 0.02720931 -0.08288822 -0.06127816 0.03543985 -0.0155375 -0.17463697 0.00369025 -0.01071623 -0.1469976 0.07168873 -0.07003076 -0.00568108 0.03525431 0.14125142 -0.01287778 0.04005247 -0.08493233 -0.05354577 0.05776701 0.18948768 0.01784794 -0.01506389 0.00054696 -0.14375886 0.14277607 0.05403527 0.01054417 0.0256083 0.0266558 0.0130275 0.0048775 0.04941295 0.01481753 0.03703106 0.02636416 0.14026164 -0.02006925 0.03143037 0.02305721 0.10213681 0.0416418 -0.06856441 0.02793663 -0.14257625 -0.15183735 -0.01206725 0.10496984 0.01968906 0.01689132 -0.2048772 0.01075962 0.0095359 0.02262367 -0.02565726 0.02369151 0.13125974 -0.0697806 0.01034814 -0.18087617 0.00553484 -0.00736337 0.0044242 -0.1388329 0.14447922 -0.1650306 -0.1286784 0.01445881 0.03216837 0.10692849 0.08589081 -0.05384678 0.01759833 0.04564359 0.02162364 -0.16105166 0.05169616 0.04664093 0.00619202 0.1667284 -0.00116747 -0.1445786 -0.01932081 0.17808968 0.00048854 0.02441865 -0.04322864 -0.00184087 0.01790857 -0.20007199 0.07170574 -0.07974108 -0.01163051 0.04010636 -0.12419017 -0.08844437 0.18439776 0.0232111 -0.15945747 0.0392376 -0.00735969 -0.05274721 0.04960051 -0.00742583 0.0732467 -0.04451578 -0.1169844 0.00023727] Cos Similarity tf.Tensor(0.07071066, shape=(), dtype=float32) (128,) (128,) [-0.21174979 -0.01716516 0.06420571 0.09313913 0.00926521 -0.00761589 0.06317829 0.12263779 0.01945889 0.01146486 0.08120374 -0.00291246 0.01605605 -0.05903386 -0.07912967 -0.08285029 0.01972671 -0.03092581 -0.00974917 0.1318881 -0.14690882 -0.2278415 -0.00161185 0.00097624 0.02060479 0.00653273 -0.08351114 0.00642546 -0.03420974 0.02991033 -0.02850563 0.17236426 0.01492057 0.03313315 0.02256363 0.00411937 0.02869973 0.03331159 -0.01955261 0.13286185 -0.11977118 0.01736671 -0.00354589 0.02152041 -0.1838832 0.23245068 0.00328582 0.02217806 0.01572977 0.00921736 0.02252013 -0.00195992 0.04103876 0.00835693 0.01080719 0.03704131 0.22842944 -0.01815902 0.01150359 0.02030332 -0.08812468 0.21036299 0.00850779 0.0152331 0.03149686 0.00925872 -0.00174349 -0.00194094 0.01079245 0.0187865 -0.20547295 -0.13000187 -0.00419648 0.02224743 -0.0035261 0.02553206 0.16533148 0.0328107 -0.01291566 -0.20744209 -0.0009235 -0.00999285 -0.00336886 0.11485032 0.14282167 -0.15329207 -0.08832976 0.02898003 0.02795816 0.08530606 -0.09219772 0.02365072 -0.01559058 0.03219412 -0.01623647 0.0390567 0.19154835 -0.15192036 -0.00982882 0.16478136 -0.12832111 0.01725165 -0.1881945 0.1707812 0.019033 0.02568349 0.00497182 -0.01656697 0.00301769 0.16643737 0.09818889 0.02140728 -0.00727966 0.0055032 -0.05502583 0.1744824 0.02902352 0.00169424 0.00441691 0.00757506 0.00408165 0.12890093 0.02780165 -0.00957571 0.21742503 0.00772098 0.07373508 -0.00554565] [-0.216435 0.05214731 0.0914784 0.12403702 0.00794801 -0.01082539 0.09124237 0.12803848 0.01043248 0.0095838 0.03547597 -0.01969263 0.01874137 -0.04500492 -0.08885857 -0.06720033 0.01611303 -0.07145751 -0.03562716 0.04332802 -0.15084295 -0.14986378 -0.02618207 0.02878856 0.0154375 0.00760748 -0.15778545 0.0074357 -0.07904454 0.04616996 -0.1074617 0.05386661 0.01199205 0.03622373 -0.01534632 0.00226313 0.03178789 0.12678188 -0.01302439 0.20277359 -0.13897431 0.01871925 -0.00249063 0.00974139 -0.18499954 0.24504153 -0.00307387 0.02244683 0.01706711 0.00579649 0.02066876 0.00281594 0.0406963 0.00662825 0.01737985 0.03352473 0.1282353 -0.0183328 0.01251772 0.01941597 0.10992756 0.16129783 -0.07725076 0.00980652 0.05149637 0.07052805 0.00308027 -0.12192773 0.00677878 0.14289817 -0.19609466 -0.21736841 -0.00265853 0.0205624 -0.01095599 0.01826513 0.15732697 0.11113373 -0.01660118 -0.08871237 -0.00808329 -0.00839889 0.00204871 0.04120721 0.12037334 -0.17021543 -0.03750936 0.04096576 0.02172146 0.04030566 -0.09025566 -0.1481297 -0.00879768 0.03691868 -0.00494771 -0.04621731 0.17912637 0.00428223 -0.00444758 0.19940881 -0.16322325 0.05379561 -0.08471847 0.16840062 0.01032382 0.02514314 0.07673088 -0.01902887 -0.00240485 0.06048638 0.1631258 0.03942062 -0.01351701 0.00543309 -0.06660038 0.11368412 0.00954248 -0.01154184 -0.12003703 0.00589011 0.00929415 0.10662897 0.03710775 -0.00160172 0.24341734 0.03913235 0.03480848 -0.005436 ] Cos Similarity tf.Tensor(0.8374302, shape=(), dtype=float32) (128,) (128,) [-0.14298987 -0.00129856 -0.09041032 -0.12985747 -0.00880574 0.01200593 -0.18240891 -0.018987 -0.00862682 -0.00273441 0.03716876 0.00551483 0.00320151 -0.06042505 -0.118307 0.03426061 -0.00029944 0.05492499 0.04260999 0.15355246 -0.13170187 0.09453924 -0.1626711 -0.03603831 -0.00073533 -0.00239511 0.08272689 -0.0043805 0.13593915 -0.20021208 0.1943457 0.19587752 -0.0027356 -0.00490776 0.07840133 0.02330586 -0.00167484 -0.13246071 -0.01411838 -0.06704955 0.17974243 0.00360688 0.00230054 -0.02943748 0.11453174 0.07798745 0.09549148 -0.02239741 -0.00396749 0.00249565 0.0056251 0.00643532 -0.01574747 0.00310892 -0.00866099 0.00924599 0.12584691 0.00050418 -0.00139492 -0.00370512 -0.08854063 -0.12858683 -0.16527449 -0.00581176 0.00610266 0.04596175 -0.01766041 -0.06173905 -0.01086608 0.14264587 -0.03801782 0.00998267 0.00943771 0.0029995 -0.0024745 -0.00045338 -0.16231859 -0.13189599 -0.00614188 0.15271626 -0.00865759 0.00840635 -0.02054505 -0.00684008 0.15545946 0.16928488 0.20306516 0.00033891 -0.02194015 -0.08511034 -0.11639845 -0.1518763 -0.02964249 0.01165181 0.00243008 -0.15563782 -0.07575604 -0.10065614 -0.00329075 0.20460296 0.00736098 -0.00521021 -0.1830713 0.04656657 -0.0076912 -0.01763002 0.05178101 -0.03105825 -0.01104362 -0.04828235 -0.08540814 0.07771999 -0.0188891 0.00117346 0.06996681 -0.22260155 -0.21436253 0.00577252 0.17711125 -0.01401848 0.00590909 -0.02667323 0.01506081 -0.00961853 0.06826559 0.07663857 -0.0148915 0.00117881] [-1.40394300e-01 4.86754514e-02 1.05238281e-01 1.89635959e-02 -1.94397699e-02 -5.23067079e-03 1.22210622e-01 5.46018742e-02 -5.45788743e-03 -6.56773197e-03 2.18798712e-01 1.28228581e-02 4.05609980e-03 4.91592288e-03 2.90292148e-02 -1.06145486e-01 -3.14666773e-03 -3.49589922e-02 1.91927433e-01 5.05902432e-02 -1.61400497e-01 1.67793140e-01 -1.42554104e-01 -9.83952079e-03 2.62639427e-04 7.09124282e-03 4.67636883e-02 7.31941953e-04 -8.11022222e-02 -1.82911813e-01 1.01431906e-02 1.44710511e-01 -5.92876691e-03 -1.73376296e-02 1.68429807e-01 6.66456670e-03 6.00771094e-03 -1.81095511e-01 5.97504154e-03 -1.00492589e-01 -6.88111112e-02 6.85766619e-03 -2.14199186e-03 9.64633387e-07 1.19595423e-01 1.36776909e-01 -2.65367818e-03 -2.13950500e-03 3.16617009e-03 2.59935372e-02 1.38302613e-02 7.38520268e-03 -3.71906324e-03 7.08751380e-03 -6.67753117e-03 2.16665845e-02 -4.98348707e-03 1.62541692e-03 8.74740887e-04 5.50231710e-03 -3.22330594e-02 3.16739492e-02 -1.71447426e-01 -3.16812075e-03 1.47156402e-01 4.49423566e-02 -2.47849058e-03 2.65419073e-02 2.44316179e-03 -3.28150541e-02 -1.33515686e-01 -1.50595456e-01 3.99075681e-03 3.45651014e-03 -5.02541661e-03 7.68300891e-03 -1.60683960e-01 -9.11116526e-02 -8.42769537e-03 1.02903530e-01 1.05115050e-03 -1.11298412e-02 -6.94126775e-03 -3.39754969e-02 1.32883355e-01 -1.75462231e-01 -8.25460851e-02 1.39579326e-02 -5.11286268e-03 -1.83749393e-01 -8.64226073e-02 -2.33369246e-01 -1.42608145e-02 1.93433091e-02 4.85513546e-03 -1.90549374e-01 2.00124681e-01 -1.53937161e-01 -3.15760775e-03 8.26363191e-02 -1.12998463e-01 1.49102032e-01 -1.46201015e-01 1.04726866e-01 5.56625705e-03 -1.60407145e-02 -4.28076461e-03 2.89140642e-03 1.11475203e-03 8.60078856e-02 -1.20246857e-01 -7.23114833e-02 7.61510455e-04 1.36541188e-01 3.61036621e-02 -2.18943223e-01 -1.51037902e-01 6.57871040e-03 6.45180717e-02 3.66247888e-03 1.89869141e-03 -2.15718448e-02 2.15589423e-02 -6.74072513e-03 6.55150488e-02 2.73020286e-02 -1.55488737e-02 3.99679644e-03] Cos Similarity tf.Tensor(0.47395957, shape=(), dtype=float32) (128,) (128,) [-0.18942042 0.01439501 0.03063641 0.11671722 -0.00918317 -0.01308812 0.107205 0.11207841 -0.00884804 -0.00704986 0.2078675 0.00571452 0.00155233 0.15678905 0.04451085 -0.20886676 -0.01172272 -0.10080402 -0.08110649 -0.14528218 0.01531437 0.05308615 -0.05436585 0.0550174 0.00550517 0.01006452 0.07423156 -0.01476041 0.11305915 -0.12408379 0.18343915 0.01458654 -0.0135599 -0.0320306 0.10484122 -0.03111466 0.0093629 -0.21304265 -0.00667942 0.18643637 0.02964569 0.0107389 -0.00468436 0.00747957 -0.06124636 0.1621935 -0.0295087 -0.00918099 -0.00146475 -0.0042462 0.00381564 0.00864367 -0.01194176 0.00536004 -0.00265435 0.00867188 -0.12799565 0.00221059 -0.000834 0.00762722 -0.00274401 0.13134159 0.20211287 -0.00073849 -0.13854022 0.1333898 -0.0078645 0.00283239 0.00237485 0.20469722 0.12245604 0.14204557 0.00069832 0.00815712 0.00546089 -0.0045998 -0.02768275 0.14626871 0.00364029 -0.16089688 -0.02205418 -0.00041961 -0.01027631 -0.15286468 -0.03097887 -0.21118818 0.06850262 0.00370058 -0.01191854 0.04557272 0.11449256 0.02688074 -0.01124863 0.00184741 0.00515591 0.12316127 0.04823573 0.00993454 -0.00276567 -0.11254676 -0.01640005 -0.04540614 0.00894626 0.02892273 0.00300975 -0.00945306 0.20783481 -0.01002386 -0.01023747 0.0326943 0.16200157 0.0570019 -0.00597179 0.00313345 0.07487301 -0.16872224 -0.05118985 0.00971808 0.19395125 0.0048441 -0.00820894 -0.14948526 0.01288227 -0.03946068 -0.18514386 -0.00381473 0.05366069 -0.00065765] [-1.91477954e-01 4.43286374e-02 -3.63692380e-02 -3.84877473e-02 -2.65250653e-02 6.35205880e-02 9.50452089e-02 2.79104225e-02 1.85623489e-04 -2.85152136e-03 -1.02116011e-01 2.89793150e-03 6.80723926e-03 1.46574870e-01 3.71677987e-02 -1.66964814e-01 -1.64974609e-03 7.69295683e-03 -5.80282845e-02 -4.18162793e-02 4.17185423e-04 1.93542197e-01 -1.05268799e-01 -1.54117614e-01 4.35846671e-03 5.18776849e-03 -8.56661648e-02 1.89316366e-03 1.11518241e-01 -7.33665898e-02 1.59604430e-01 1.16247255e-02 3.13437544e-03 -4.71029291e-03 1.76133156e-01 -2.77878270e-02 5.41493995e-03 -1.71800047e-01 -2.44523602e-04 1.63557813e-01 -1.12522438e-01 -2.39088945e-03 2.74991896e-03 -2.17280500e-02 1.20768234e-01 7.48559786e-03 -5.95121756e-02 3.71570844e-04 3.08157224e-03 7.46251224e-03 6.84261322e-03 7.92770274e-03 -4.89549898e-03 6.42636279e-03 -2.67247041e-03 1.14222476e-02 -9.92668271e-02 7.09674042e-03 -1.06362123e-02 4.40708222e-03 -2.24343222e-03 9.92090628e-02 1.72884658e-01 3.31053231e-03 -1.61833107e-01 1.24008782e-01 -7.33738532e-04 1.49074791e-03 -7.94091169e-03 1.09095015e-01 1.91800401e-01 -1.51302636e-01 5.99500444e-03 3.12662101e-03 7.54781626e-03 3.74769093e-03 -1.92851368e-02 -1.01601556e-01 1.61772955e-03 -1.87989220e-01 -1.43621713e-02 1.49579719e-02 -2.49380548e-03 -4.13185507e-02 -1.16825029e-01 -8.12235028e-02 1.24138221e-01 7.44718499e-03 -1.51813487e-02 1.64916962e-01 1.78353176e-01 -1.05821572e-01 -3.42011848e-03 -1.64504256e-03 1.05176950e-02 6.81246147e-02 4.58784550e-02 3.80450487e-02 1.82807166e-03 1.50893956e-01 1.80405170e-01 -1.52012751e-01 1.75188079e-01 1.21165916e-01 8.00815586e-04 -1.21244579e-03 1.97412193e-01 1.55721355e-04 -7.76035758e-03 9.25527737e-02 9.22919661e-02 1.08658940e-01 8.24411027e-03 1.33310229e-01 8.81154686e-02 -1.93574786e-01 -7.12006912e-02 1.04847550e-02 -3.71886194e-02 5.02887834e-03 4.40350006e-04 -9.59275067e-02 1.15732681e-02 -3.26097049e-02 -1.86054692e-01 -1.37411496e-02 4.77958843e-02 5.33491140e-03] Cos Similarity tf.Tensor(0.58226883, shape=(), dtype=float32) (128,) (128,) [ 9.11503285e-03 2.00827550e-02 -5.77711836e-02 1.49264544e-01 -1.20001445e-02 -1.52798602e-02 -5.60291819e-02 -2.05247387e-01 -8.64026137e-03 -1.67431198e-02 1.80311114e-01 1.49987580e-03 2.62625050e-03 4.81261127e-02 9.27007049e-02 -6.91195531e-03 -7.01851025e-03 -1.81220427e-01 1.36448815e-02 4.52935696e-02 1.73499845e-02 -5.26654068e-03 4.97416332e-02 2.01003067e-02 -1.12631610e-02 -1.16636814e-03 1.80785224e-01 -1.72179099e-02 1.38261363e-01 1.76959530e-01 2.27538478e-02 -1.94990814e-01 8.26647691e-03 -1.07345665e-02 -2.22392693e-01 -3.44920903e-02 -3.72235314e-03 -1.95506230e-01 -4.00966406e-03 -1.36338890e-01 2.78267525e-02 1.26469322e-03 -6.56072237e-03 5.42919477e-03 8.95603299e-02 -1.04766607e-01 -3.27126235e-02 8.27791227e-04 3.75389215e-03 -4.43365378e-03 1.17244748e-02 -7.87943311e-04 -2.36290433e-02 4.05240851e-03 -7.67430244e-03 3.81503860e-03 -1.32036805e-02 2.96402676e-03 -2.83961563e-04 -7.79131241e-03 -1.15032241e-01 2.11544022e-01 -1.03872232e-01 -4.21429751e-03 1.26432791e-01 1.71756953e-01 -8.95303208e-03 -2.12016061e-01 -1.18522737e-02 -6.41601384e-02 -2.15380937e-02 7.65911490e-02 3.69846937e-03 1.17472955e-04 -4.11802763e-03 1.01544289e-02 8.76241550e-03 1.17024444e-01 -7.39365770e-03 9.78972986e-02 -1.02387732e-02 -8.90013203e-02 -1.63079295e-02 -1.50799930e-01 -1.13508791e-01 2.50595901e-02 -2.91813016e-02 5.63334301e-03 -8.75130855e-03 -9.31787025e-03 8.70244205e-02 -3.93969528e-02 -8.81779566e-03 9.73015279e-03 -1.82254929e-02 -1.36237189e-01 -7.26656765e-02 1.89092129e-01 -8.10224935e-03 -1.26029700e-01 -2.35493377e-01 -9.63771418e-02 -1.51328027e-01 -1.25431076e-01 -7.28084799e-03 4.73693386e-03 -1.04904138e-01 1.44395726e-02 -1.51785528e-02 -1.71168372e-01 1.59412786e-01 2.03941599e-01 -2.43903808e-02 6.30939454e-02 -3.70326601e-02 -8.93974453e-02 1.76174063e-02 -2.16182205e-03 6.15603030e-02 -3.67748551e-02 1.01676881e-02 -4.02959958e-02 1.69904716e-02 -2.03737449e-02 -1.85183376e-01 4.61636707e-02 -3.40014393e-03 -2.61610374e-02] [-1.60287648e-01 2.85178330e-02 -1.39098808e-01 1.81072861e-01 -1.06659355e-02 -1.84231058e-01 -1.02800950e-01 -1.53725401e-01 -5.43910032e-03 -8.23660381e-03 1.36114448e-01 -5.81566198e-03 -3.99465347e-03 1.06887734e-02 2.19382476e-02 -1.48144353e-03 3.24353622e-03 -1.07118085e-01 6.16150796e-02 -1.32252261e-01 -1.38077531e-02 -1.81382909e-01 -3.05445604e-02 9.54673160e-03 -3.77683406e-04 -3.73208139e-04 1.62360266e-01 2.38794158e-03 4.10710797e-02 1.59949228e-01 1.27613857e-01 -1.70082673e-01 7.99100753e-03 -1.96581762e-02 -2.06750855e-01 -1.55194690e-02 -9.60707039e-05 -1.80743322e-01 4.05547209e-03 -1.05776884e-01 -5.33543620e-03 3.62025830e-03 -5.34120854e-03 1.53361168e-02 9.25740898e-02 -7.05206096e-02 1.92038581e-01 1.55803654e-02 8.94335937e-03 -1.67037104e-03 1.20606851e-02 2.61754519e-03 -1.17565216e-02 6.72841305e-03 -3.66628286e-03 -5.47649991e-03 -1.49999503e-02 -1.23647484e-03 -1.58013112e-03 -5.08422637e-03 -1.11948267e-01 2.21326649e-01 -1.07433155e-01 -4.92719794e-03 1.02220587e-01 1.67358547e-01 -1.01382018e-03 -1.94457904e-01 -2.57619862e-02 -1.73106827e-02 -1.03873387e-01 5.23781590e-03 -2.98654777e-03 -5.11439703e-03 -8.74529406e-03 8.11944809e-03 -7.98966084e-03 8.05805698e-02 -1.17165446e-02 -6.36485294e-02 -1.17805330e-02 -1.54907092e-01 -1.00882668e-02 -1.38483226e-01 -2.98365019e-02 2.25421935e-02 -2.01149639e-02 6.76314905e-03 -9.68950335e-03 5.21485321e-03 1.08263180e-01 -2.05185283e-02 -6.28967211e-03 5.59848873e-03 3.79697443e-03 -1.93103626e-01 -3.30929682e-02 1.34406313e-01 -1.07529359e-02 6.87414706e-02 -1.90661654e-01 -1.12928107e-01 -1.83623165e-01 -7.17106313e-02 -2.03413563e-03 9.43114143e-03 -1.02106825e-01 -2.80481111e-02 -2.73258425e-03 -1.64255366e-01 1.16315387e-01 1.83526456e-01 -1.55012747e-02 1.29650775e-02 -9.75232571e-03 -3.88653837e-02 2.93561677e-03 -1.21098920e-03 6.99991062e-02 -3.24359722e-02 2.91549461e-03 1.08327411e-01 1.48932468e-02 -2.23631877e-02 -1.77250713e-01 5.48624955e-02 -9.80729237e-02 -1.34136165e-02] Cos Similarity tf.Tensor(0.8079504, shape=(), dtype=float32) (128,) (128,) [ 0.07223552 0.02213103 -0.0245668 -0.16286162 -0.02402205 0.01430703 -0.04761624 -0.2094867 0.01314011 -0.00765083 0.09509585 -0.01315423 0.00186582 -0.11856875 -0.09046999 0.16658497 -0.00708654 -0.17199413 0.18592641 0.19346051 0.09471048 -0.11726619 0.02547041 0.04812786 -0.01454961 0.00108504 0.00479396 -0.04118229 0.16044042 0.06771955 0.13227525 -0.13447185 -0.00524306 -0.02274518 -0.18837506 -0.02968251 -0.00279308 -0.13703935 -0.00900868 -0.0050195 -0.13228779 0.0053904 -0.01080645 0.00649117 -0.1467207 -0.09949377 -0.09705993 0.00536124 0.00762601 -0.00066348 0.01288789 -0.00043712 -0.02395284 0.00199017 -0.01827463 -0.00928321 0.20344558 0.00699505 0.00280804 -0.02032779 -0.05995796 0.05913894 -0.18447874 -0.00362858 0.15788269 0.05508318 -0.0132426 0.0808957 -0.03577293 -0.08292128 0.06120243 -0.07016692 -0.00251085 -0.001003 -0.02391146 0.00670669 -0.1759184 -0.06299846 -0.01099868 0.07804846 -0.00702816 -0.02819936 -0.02372601 -0.16996999 0.1350137 0.00987422 0.07951537 0.00137145 -0.00743453 0.11724169 -0.10845806 0.16355737 -0.02640731 0.00635035 -0.01003885 0.05935435 -0.2234626 -0.12679808 -0.00370613 -0.03562909 -0.20938964 -0.15187597 -0.0227533 -0.15197934 -0.031415 -0.00038511 0.02012347 0.01024016 -0.02465175 0.09268064 0.0309731 -0.12040896 -0.03988695 0.02489793 0.06991 -0.14742477 -0.010365 -0.00636764 -0.04724998 -0.01900434 0.00532733 0.10981945 0.01203185 -0.01198767 0.1531882 0.06204496 -0.08293255 -0.0065244 ] [ 9.03262421e-02 -8.22562817e-03 1.11601181e-01 -2.23766804e-01 -3.35030407e-02 5.97426621e-03 -1.22539913e-02 -1.46696776e-01 1.20798200e-02 -1.77242514e-03 1.74478680e-01 -8.29232670e-03 1.63678285e-02 -9.36219916e-02 -1.06626801e-01 1.92628264e-01 6.96071330e-03 -1.22195795e-01 -2.90430374e-02 -3.65080163e-02 1.88369870e-01 -8.81178603e-02 5.98267652e-03 2.20238734e-02 1.06773544e-02 2.92086229e-03 1.06091276e-01 -2.38283891e-02 1.10962272e-01 9.74912867e-02 1.51109636e-01 -1.72635719e-01 -1.02359196e-02 -2.22310741e-02 -2.09016055e-01 -1.03375744e-02 -6.82379934e-04 -1.36033492e-02 8.15173332e-03 2.69302074e-02 -5.95811978e-02 3.35974083e-03 -1.03927609e-02 2.16257246e-03 -8.76496360e-02 -2.26241395e-01 -2.19306033e-02 1.83803532e-02 2.00256594e-02 8.92126991e-04 1.28568318e-02 4.73640533e-03 -8.88408348e-03 4.42249188e-03 -3.69584234e-03 -1.06651336e-02 1.12177789e-01 2.51129270e-04 1.13809330e-03 -1.39119802e-02 -3.79531048e-02 1.29536241e-01 -1.98106378e-01 -8.77687428e-03 1.67260602e-01 -3.19304653e-02 -3.43098980e-03 1.99650675e-01 -2.88667157e-02 -8.57946500e-02 -3.02435271e-02 -1.10087298e-01 -8.27705546e-04 -7.22299051e-03 -1.32529940e-02 1.82500053e-02 -1.72944173e-01 -1.24151640e-01 -1.86082423e-02 8.23599324e-02 -1.34956453e-03 1.71397794e-02 -1.45801008e-02 -1.52336314e-01 1.38867617e-01 -1.32872805e-01 -8.72965828e-02 7.09396321e-03 -4.48844815e-03 1.16131090e-01 -1.07282609e-01 1.07920632e-01 -1.43601941e-02 2.42844946e-03 1.20668188e-02 8.48045349e-02 -1.66584939e-01 -1.67430043e-01 -2.39606109e-03 -7.52751827e-02 -1.48564830e-01 -1.34167820e-01 3.38228047e-02 -1.40564576e-01 -2.45214645e-02 -1.26753161e-02 3.83870155e-02 1.61888711e-02 -3.48043418e-03 1.02351040e-01 5.93707636e-02 -9.94164571e-02 -3.34797688e-02 1.61468193e-01 2.10987357e-03 -1.01606540e-01 -1.01844277e-02 4.88512032e-03 -1.29100278e-01 -2.65517514e-02 -1.52101478e-04 1.29476756e-01 1.68399718e-02 4.48576582e-04 7.04142526e-02 9.60208029e-02 -1.83359515e-02 1.17657566e-03] Cos Similarity tf.Tensor(0.80953205, shape=(), dtype=float32) (128,) (128,) [ 1.33966118e-01 1.78198874e-01 -7.22975470e-03 -9.56586450e-02 8.62928573e-03 5.01580909e-02 3.27141099e-02 1.20069616e-01 -1.70239825e-02 -1.02534415e-02 -2.13419273e-01 -2.74398481e-03 -1.14059122e-02 -1.15987565e-02 2.75269374e-02 1.62070058e-02 2.14248374e-02 1.03608333e-01 1.77267432e-01 -1.71889156e-01 -1.41518205e-01 -1.29609495e-01 -1.48832882e-02 1.28910676e-01 1.66067127e-02 -2.13861396e-03 -1.38470158e-02 -2.22070754e-04 -8.12715441e-02 1.16423070e-01 -1.50288835e-01 2.09422439e-01 5.98061597e-03 -1.14011709e-02 4.65529226e-02 -3.28795821e-03 -5.59972413e-03 -1.36366174e-01 -3.57083627e-03 9.61014405e-02 -1.55247122e-01 3.43910349e-03 -3.99132550e-05 1.05638010e-02 4.60042395e-02 -4.47270013e-02 1.40241042e-01 -2.34816587e-04 7.26672029e-03 -1.21018605e-03 1.15722967e-02 2.30124220e-03 3.00336746e-03 8.42953566e-03 4.54590237e-03 2.74114870e-03 -2.59398539e-02 4.36025113e-03 -6.68652495e-03 1.89919472e-02 -1.10033795e-01 1.76961556e-01 1.51859105e-01 -2.21770145e-02 -4.75966185e-03 5.92705570e-02 -1.04619507e-02 -1.22621365e-01 -7.73709128e-03 1.54285610e-01 -7.33452439e-02 -1.43667281e-01 8.99378862e-03 -2.83953571e-03 -5.05243940e-03 1.60089917e-02 -1.12233452e-01 -1.77846104e-02 -2.68228911e-03 7.66180679e-02 1.33423023e-02 -4.22709547e-02 1.65099348e-03 5.24626076e-02 -1.87430859e-01 1.81046098e-01 2.18254656e-01 9.59428865e-03 -1.21875238e-02 7.76462033e-02 -2.04665631e-01 9.36348140e-02 1.43408962e-02 1.56190544e-02 4.16629446e-05 1.57883629e-01 1.00758402e-02 2.19593919e-03 -1.40956277e-02 -1.20011710e-01 -1.39647216e-01 1.83159634e-02 8.79429728e-02 1.52288973e-01 -1.43502804e-03 -9.86646675e-03 -8.01055729e-02 -6.32594898e-03 9.85727878e-04 -1.46976769e-01 -1.63341522e-01 -4.94371094e-02 4.65852302e-03 -1.34519830e-01 3.98840569e-02 8.33419785e-02 8.67465977e-03 -1.17249796e-02 1.90132961e-01 -2.04972979e-02 1.85955353e-02 1.92263909e-02 1.51324170e-02 3.99420876e-03 -1.95352614e-01 -1.32761849e-03 2.38699075e-02 -9.87410545e-03] [ 2.25560471e-01 -4.94997054e-02 1.65185034e-02 -1.87216237e-01 4.08489536e-03 1.26914397e-01 3.66133265e-02 -1.83232082e-03 -9.67893648e-05 -1.40343010e-02 -2.37286031e-01 -7.65156699e-03 5.53214224e-03 1.20367885e-01 4.92150709e-03 6.36503547e-02 5.85769070e-03 4.07916866e-02 1.67632534e-03 -1.25445262e-01 -1.04629166e-01 -4.81999703e-02 1.13499619e-01 -5.64651377e-03 -4.03148541e-03 -1.08850496e-02 8.06473568e-02 -3.18578049e-03 9.15182233e-02 -3.13409790e-02 -1.61830187e-01 1.52943090e-01 1.47020137e-02 -4.18636882e-05 2.00441275e-02 -1.24685857e-02 -2.11446616e-03 6.88152760e-02 -6.18386501e-03 1.07486583e-01 -8.48860741e-02 -2.10854523e-02 -2.72255711e-04 5.05627459e-03 1.35743812e-01 6.21906705e-02 -6.02041483e-02 6.92506460e-03 6.96323626e-03 7.03248708e-03 5.82744833e-03 2.02451670e-03 -1.14440117e-02 9.25271865e-03 -8.00360087e-03 6.63031032e-03 2.53909314e-03 -8.36559571e-03 -4.91086068e-03 -5.11139305e-03 5.91150448e-02 2.03308254e-01 1.10170782e-01 -1.25968698e-02 -1.16667986e-01 1.86542749e-01 -5.70479268e-03 -1.59722358e-01 1.98360323e-03 3.59565727e-02 -1.20033182e-01 -7.79007524e-02 7.35056470e-04 4.96555818e-03 -1.14524933e-02 4.91210446e-03 1.33057922e-01 7.85867795e-02 7.60469877e-04 1.80968851e-01 -3.31090554e-03 -9.83616933e-02 1.12740761e-02 6.14051186e-02 -2.14688674e-01 3.40703055e-02 1.51145458e-01 6.84490567e-03 -5.78397838e-03 1.06163166e-01 -1.20295823e-01 8.18623975e-02 1.60226482e-03 4.41275677e-03 -1.36867154e-03 2.10024357e-01 -1.43636391e-01 -7.34938458e-02 -2.04304524e-05 -1.99710175e-01 -1.46093339e-01 2.91087162e-02 1.27787471e-01 7.23605156e-02 -9.22381412e-03 2.89191189e-03 6.62173331e-02 1.12089058e-02 3.50362301e-04 -1.03904031e-01 1.53968289e-01 -1.22766532e-01 -3.59960645e-03 -2.03725576e-01 -2.48504337e-02 5.69197200e-02 1.71998575e-01 -3.19649130e-02 1.13115318e-01 -3.44008906e-03 3.90535058e-03 7.07213953e-02 -7.29768886e-04 -1.77916847e-02 -1.67229131e-01 -4.71082851e-02 -4.93657542e-03 -8.97624413e-04] Cos Similarity tf.Tensor(0.6027317, shape=(), dtype=float32) (128,) (128,) [ 0.13129172 -0.0714631 -0.04852199 -0.01015543 -0.03135008 -0.00585808 0.04081821 0.088999 0.00062027 0.00538845 0.17041309 0.01148705 -0.00294948 -0.05346993 0.02061066 -0.16930874 0.01525641 0.16611281 -0.0472476 -0.18869808 0.00721173 -0.18220666 -0.03711346 -0.00721851 0.00480381 0.00456782 -0.12499756 0.00709668 -0.1200638 0.13467395 0.06449261 -0.12781668 -0.02785721 0.01635316 0.20285325 0.04219325 0.01337617 -0.13239472 -0.0280228 -0.05397474 0.09219202 0.00363264 -0.01872075 0.0167552 -0.00369679 0.13851643 0.10245865 0.00065062 0.01855151 0.01011965 0.005767 0.00529954 0.02303093 0.01060716 0.00674184 0.02806454 -0.08247694 -0.01222434 0.01274376 -0.00184699 -0.08908155 0.03941787 0.10402819 0.00179463 -0.13283408 -0.1417367 -0.02225545 0.02123212 -0.00720283 -0.10881302 -0.10424434 0.02277935 -0.01398936 0.02172742 -0.02713004 0.00676853 -0.04725783 -0.03168512 -0.00238594 -0.18744868 -0.00835578 0.00197897 0.00122395 0.22813366 0.21086013 -0.1463061 -0.1227212 0.01413838 -0.00075643 0.17295672 -0.12088556 -0.14442456 0.00661172 0.01654388 0.01828874 0.02169237 -0.03076005 -0.08254085 -0.00600598 -0.11746084 -0.00238437 -0.13924743 -0.14888714 0.20132838 0.0092394 0.01954983 0.16096365 0.00464195 -0.00114256 -0.0327569 0.07015432 -0.00940451 -0.00152398 0.07318553 -0.07543931 0.18116285 0.16987343 -0.00950907 -0.16758399 0.00177124 -0.01112801 0.06851543 0.02818822 0.01599504 0.19298065 0.00733663 -0.13737902 -0.00505757] [ 1.24168746e-01 -3.62349562e-02 -6.84741512e-02 -1.33030817e-01 -2.52586044e-02 -9.52161849e-02 7.41057619e-02 -2.75748633e-02 1.76572334e-03 -3.16290371e-03 1.21276192e-01 -6.90862769e-03 -2.00208072e-02 -3.41670541e-03 4.64316495e-02 -1.36845440e-01 -2.53467169e-03 -5.30296611e-03 6.97316080e-02 2.30979137e-02 -8.03645402e-02 -1.90081999e-01 -1.06242701e-01 9.61364657e-02 -2.02413350e-02 3.04371072e-03 -1.47426903e-01 1.78663852e-03 -2.09884539e-01 1.09883741e-01 -1.47043258e-01 2.94426214e-02 -3.81332240e-03 -9.61369544e-04 2.04484865e-01 -1.73076201e-04 -1.14258276e-02 -1.03750601e-02 -1.31247309e-03 8.75971615e-02 1.16666578e-01 -2.07986886e-04 -1.22249788e-02 1.50220357e-02 2.92267594e-02 8.39363858e-02 1.39605384e-02 -3.40316398e-03 5.99831715e-03 -1.28439313e-03 5.63660776e-03 5.52696329e-05 -4.71896352e-03 5.07433759e-03 -7.20958970e-03 1.40247047e-02 -3.78253944e-02 7.22384639e-03 -2.03506928e-03 -1.24585722e-02 -4.49440256e-03 1.30904824e-01 3.65802124e-02 -2.09789369e-02 -1.09003760e-01 -9.59993750e-02 -2.01450586e-02 1.65657595e-01 -2.16723457e-02 -1.82946548e-02 -1.95453659e-01 -2.52267886e-02 -9.48303100e-03 1.06925350e-02 -1.78043656e-02 9.27360635e-03 6.26342148e-02 1.56327158e-01 4.01247479e-03 -2.35068753e-01 -1.13375233e-02 6.15492314e-02 1.24044588e-03 6.41141683e-02 1.68771729e-01 -2.01960266e-01 -1.14322402e-01 6.69940514e-03 -9.62037244e-04 1.90528914e-01 -1.48594394e-01 -1.87379971e-01 -3.70455766e-03 9.56689753e-03 -3.01265949e-03 1.32312058e-02 9.43508595e-02 -1.93093777e-01 -5.62917301e-03 -1.44189700e-01 -1.74042255e-01 -6.86739907e-02 8.25283155e-02 2.09700242e-01 8.90249328e-04 1.41790994e-02 1.33320212e-01 1.93908922e-02 -7.01332791e-03 5.92752695e-02 1.31062672e-01 -7.64842406e-02 -1.83047224e-02 2.09267568e-02 -4.97760028e-02 1.80930883e-01 1.08850725e-01 -8.86365119e-03 4.88854758e-02 -2.50197724e-02 -9.92623609e-05 1.72948055e-02 1.15755498e-02 -1.28391304e-03 1.93030819e-01 -1.63345438e-04 -5.77229932e-02 -5.84235881e-03] Cos Similarity tf.Tensor(0.6776804, shape=(), dtype=float32) (128,) (128,) [ 7.32017234e-02 3.15164253e-02 7.85951316e-02 6.48471937e-02 -1.88556942e-03 -4.68888059e-02 1.67203307e-01 9.86550152e-02 -8.37773178e-03 -7.62159564e-03 2.06662621e-02 -1.15248132e-02 2.58063618e-03 1.28263533e-01 1.89464837e-02 1.16924524e-01 -1.84984971e-02 6.70625791e-02 3.43165994e-02 -4.12484668e-02 9.84278321e-02 -5.40653132e-02 2.50432994e-02 -1.30477339e-01 1.00899497e-02 7.32783880e-03 -1.16280355e-02 -1.21777197e-02 1.55613795e-01 -2.09467679e-01 9.77946892e-02 2.45485574e-01 -1.65397804e-02 -3.91059108e-02 -1.99333429e-01 -3.10586952e-02 1.97326485e-03 -4.74337004e-02 -6.94439281e-03 -1.13000348e-01 -6.39035366e-03 4.33846610e-03 -5.81709109e-03 -1.03561729e-02 -3.22175887e-03 1.59251951e-02 1.82378531e-01 -1.08786896e-02 -5.97496005e-03 1.13765253e-02 8.93392880e-03 6.27529342e-03 -1.28220441e-02 4.22754558e-03 4.31941077e-03 1.56537909e-02 -2.02928692e-01 1.31265144e-03 6.23327587e-03 -8.17749649e-03 -2.04737142e-01 2.14093134e-01 1.80828840e-01 -1.97693389e-02 -1.07248373e-01 -1.22914694e-01 -5.60090272e-03 -1.72338597e-02 8.73181038e-03 4.85357158e-02 2.44971290e-02 -5.73355369e-02 7.53160845e-03 -6.07227767e-03 -8.02798197e-04 1.59276053e-02 1.05801240e-01 -1.07413745e-02 1.74180907e-03 1.93918556e-01 -1.31544266e-02 -4.29860270e-03 -3.47846793e-03 -1.82063058e-01 -2.38995906e-02 1.89137056e-01 -2.13953838e-01 1.46802934e-02 -1.73366982e-02 9.04335268e-03 -3.45762074e-03 5.54967746e-02 -1.40279401e-02 4.80701867e-03 -6.82011060e-03 1.70869887e-01 -3.73627655e-02 9.84733850e-02 4.36747354e-03 -5.82462586e-02 1.40389845e-01 1.16362916e-02 5.34677878e-02 -1.03132548e-02 1.58274930e-03 -1.95686817e-02 1.11346729e-01 2.62312498e-03 -4.24709031e-03 -1.17380423e-02 1.10800169e-01 -1.88278288e-01 -6.63356914e-04 -4.34689894e-02 1.21966591e-02 -2.05551103e-01 6.78870454e-02 -1.99907199e-02 1.47005707e-01 -4.11624536e-02 -1.86805792e-05 1.70198619e-01 1.35878203e-02 -3.28489281e-02 -2.15641931e-01 5.56017905e-02 3.52801965e-03 -2.64128065e-03] [ 0.03200619 0.0302625 0.01160278 0.09949077 -0.002775 -0.03685175 0.08802257 0.19753261 -0.00528815 -0.00166374 -0.04490244 -0.00752604 0.00039448 0.05719322 0.04965245 0.08031 -0.01466792 0.01131613 -0.09370551 0.08239214 -0.10335243 0.01069276 0.02661361 0.0036492 -0.00837479 0.0100392 -0.01352729 -0.02358668 0.19670738 -0.26458925 0.05070835 0.2725631 -0.00697462 -0.03298336 -0.10245842 -0.04114317 -0.00982071 0.04516461 -0.00152769 -0.0491617 0.10140248 0.00955031 0.00135621 -0.00803343 -0.06797074 -0.01198482 0.00973016 -0.00072473 -0.011919 0.01433181 0.01971629 0.01005038 -0.00781594 0.00548369 -0.00555643 0.01324133 -0.25242445 -0.00342273 0.00645864 -0.00631514 -0.15936507 0.04391828 0.13360646 -0.0163654 0.1004305 -0.14553219 -0.00903012 -0.02347947 0.01308581 -0.02416411 0.04798213 -0.01908871 0.00789913 -0.00631717 0.00304165 0.00228965 0.09552321 0.01727421 0.00154336 0.21347709 -0.02201603 -0.00856626 -0.01534189 -0.24141079 -0.10449239 0.22728157 -0.22460154 0.0137533 -0.01044544 0.16291092 0.08874013 0.12105612 -0.01642439 0.010657 -0.00091767 0.03513412 -0.02668093 0.11293463 0.00699399 0.12649554 -0.03325372 -0.08407867 -0.02039918 0.11632076 0.00081404 -0.02909947 -0.06260835 -0.0043165 -0.00094857 -0.02656022 0.10801425 -0.2293764 0.00264774 -0.00540336 0.04065421 -0.20507123 0.03014066 -0.00754047 0.17325538 -0.0406872 0.00688111 0.0660813 0.01985991 -0.04026088 -0.20863897 0.0820621 0.01100317 -0.00246003] Cos Similarity tf.Tensor(0.745299, shape=(), dtype=float32) (128,) (128,) [ 1.26914397e-01 -1.11085020e-01 4.44029421e-02 -1.56549528e-01 -1.80557314e-02 1.37341961e-01 -2.66884584e-02 6.41069114e-02 1.03063537e-02 1.21605992e-02 1.47525268e-02 1.46330707e-03 1.28012407e-03 -6.05137572e-02 1.78891733e-01 -7.42038339e-02 -8.07495695e-03 -1.40146259e-02 1.76360775e-02 -6.30579069e-02 -1.20442726e-01 -1.48518607e-01 1.95203349e-01 9.59297940e-02 -3.56756209e-04 1.74521450e-02 9.16543305e-02 -7.87127391e-03 -5.12598641e-02 -1.63971767e-01 -4.89512868e-02 -2.88644284e-02 1.25030158e-02 -2.97648972e-03 1.45396292e-01 2.93359370e-03 -5.29908063e-03 2.04326622e-02 -1.87095776e-02 -5.06346039e-02 4.58249589e-03 -7.50593003e-03 5.07574715e-03 5.81670832e-03 -1.40027806e-01 1.40754590e-02 -4.33313996e-02 1.98565368e-02 1.40744094e-02 1.42322422e-03 8.05904157e-03 8.62194132e-03 5.65724913e-03 1.19544715e-02 3.43095558e-03 1.40228476e-02 1.55979693e-01 -1.99751668e-02 4.12787544e-03 -1.95081923e-02 1.85501590e-01 -1.99722156e-01 1.48155704e-01 -1.14873517e-02 1.62873372e-01 1.00437075e-01 -1.53701258e-04 1.56815425e-01 1.01801008e-02 1.14955781e-02 -1.31288812e-01 -2.11717829e-01 5.49350679e-03 6.31789584e-03 -1.93660287e-03 2.02881061e-02 -9.54339746e-03 -1.49079645e-02 -5.11235208e-04 -1.89529017e-01 1.86751713e-03 -2.36039590e-02 4.28817375e-03 8.07289109e-02 -1.72659084e-01 1.02764800e-01 1.49317682e-01 8.01981520e-03 1.52844680e-03 -1.43377259e-01 1.16364211e-01 -1.08298391e-01 5.87473717e-03 -4.20185411e-03 -1.77376177e-02 -1.81070223e-01 6.07574917e-03 -5.63766547e-02 2.00341456e-03 -1.70945004e-01 -4.65438925e-02 -5.67551181e-02 2.03116667e-02 1.07842669e-01 -2.71538962e-02 -1.94111187e-02 9.26177949e-02 3.52974087e-02 4.94905142e-03 -6.14011548e-02 1.41783357e-01 -1.93757340e-01 2.12883037e-02 1.77497283e-01 -2.05620695e-02 1.29546240e-01 -9.27048475e-02 -1.08091915e-02 -1.13573276e-01 -2.99401879e-02 -6.00334071e-03 1.78327963e-01 4.45513520e-03 -5.94612677e-03 1.92588985e-01 9.09608379e-02 1.15743121e-02 -4.93904902e-03] [-4.70997915e-02 9.53490734e-02 7.85970986e-02 -1.32556796e-01 -3.03140823e-02 1.35140315e-01 1.35283396e-02 -1.19582042e-02 5.24726743e-03 2.09391979e-03 -1.09916046e-01 -3.35741742e-03 -9.51624848e-03 -5.36589399e-02 1.63304716e-01 -1.66935369e-01 -7.48359086e-03 1.86829820e-01 1.29234016e-01 -3.95198576e-02 -1.27512038e-01 -1.01888813e-01 1.24728009e-01 1.00264631e-01 8.10839422e-03 8.57909489e-03 1.91360861e-02 -1.25605743e-02 -9.30074751e-02 -1.69793054e-01 -1.20056756e-01 1.18274875e-01 1.00121405e-02 -1.41842179e-02 1.21271364e-01 -2.99524574e-04 -2.79917708e-03 -1.21120811e-01 7.40037719e-03 -5.88328801e-02 -1.15381904e-01 -1.23544899e-03 -3.94846266e-03 5.61492692e-04 -1.38999388e-01 1.28248930e-01 -6.58384338e-02 1.72803104e-02 1.37348995e-02 1.64891165e-02 1.02860080e-02 5.24821179e-03 4.80773626e-03 1.09249735e-02 -8.32582358e-04 4.69927443e-03 7.50287995e-02 6.73797121e-03 1.44588342e-03 -1.50095765e-02 1.51274592e-01 -2.16050133e-01 1.97092459e-01 4.58806474e-03 1.67961210e-01 2.55602150e-04 -3.16014350e-03 1.29121453e-01 9.60963545e-04 1.97606143e-02 -8.35528076e-02 -1.89168409e-01 -3.50483228e-03 4.94934339e-03 1.95573131e-03 2.11950019e-02 2.70927250e-02 5.77196665e-02 -2.23229828e-04 -1.39812678e-01 3.43653094e-03 -1.90335680e-02 6.33050781e-03 3.73155735e-02 -1.60366490e-01 1.69172540e-01 1.17946118e-01 8.57445877e-03 6.57161145e-05 -1.10861234e-01 1.44350588e-01 9.00579169e-02 5.32792276e-03 -4.36830800e-03 -2.38635461e-03 -8.98121595e-02 -2.85828263e-02 -1.54824898e-01 -4.08148207e-03 -3.26054543e-02 1.86250225e-01 -5.80208376e-02 6.17956370e-02 1.70806050e-01 -1.75563022e-02 -1.50970910e-02 2.01230243e-01 1.40603865e-02 3.58489342e-03 -1.14044622e-02 5.57745434e-02 -1.81361407e-01 2.11558323e-02 1.55275986e-01 1.05458032e-02 1.18754297e-01 -4.13159095e-02 -1.24173909e-02 3.55487242e-02 -1.90880746e-02 -3.97101091e-03 2.01173037e-01 2.15263590e-02 -2.32882034e-02 3.58803347e-02 8.57891664e-02 -5.84914573e-02 -2.71830778e-03] Cos Similarity tf.Tensor(0.7437805, shape=(), dtype=float32) (128,) (128,) [ 7.96018019e-02 -5.87196788e-03 9.42649841e-02 -1.69518501e-01 7.73457298e-03 -8.52620229e-02 -3.32593955e-02 7.18083531e-02 -1.54369371e-02 6.90539321e-03 -1.55948102e-01 -2.28568897e-04 1.31720090e-02 5.40714040e-02 1.32514432e-01 -1.18414380e-01 2.91296616e-02 1.67758361e-01 3.37546021e-02 4.16604578e-02 -8.97126272e-02 -4.43153791e-02 1.71109051e-01 3.22700478e-02 2.65254136e-02 2.01287121e-02 1.59295648e-01 1.30769180e-03 1.72994122e-01 1.09570846e-01 -7.64686689e-02 -7.30338395e-02 4.05392535e-02 6.01288863e-02 2.43596956e-02 2.50961222e-02 3.28135565e-02 -1.46515176e-01 -5.66309467e-02 4.60158940e-03 1.89933300e-01 9.78800561e-03 -1.19033456e-03 3.46328318e-02 -8.66849348e-02 -4.45839874e-02 5.04108556e-02 3.08127515e-02 3.42570767e-02 2.81687081e-02 2.35636514e-02 6.49396516e-03 5.42349741e-02 2.21010726e-02 5.28366640e-02 4.82046455e-02 1.93846643e-01 -1.77571643e-02 1.65450536e-02 2.63773953e-03 -1.07171483e-01 -8.22298080e-02 1.95976496e-01 5.65344794e-03 -1.79162994e-01 1.42885789e-01 1.23997079e-02 4.27041017e-02 3.69102880e-02 -5.06209768e-02 -8.53528827e-02 -1.07328687e-02 2.49264259e-02 9.80110781e-05 1.44334240e-02 5.32382168e-02 1.75633535e-01 -7.46580735e-02 -1.12958541e-02 -1.60126179e-01 1.95320472e-02 4.17388156e-02 1.48890056e-02 2.32406147e-02 -1.17246687e-01 1.15703426e-01 -4.60840873e-02 3.33621018e-02 1.91601720e-02 -7.43936077e-02 1.83693588e-01 -1.43544719e-01 2.19993088e-02 6.27009198e-02 -7.72491656e-03 1.62422493e-01 -1.64433748e-01 -1.65583849e-01 1.92931239e-02 2.05605686e-01 9.35736224e-02 -1.62408814e-01 4.80529144e-02 -2.66578794e-02 7.50574656e-03 3.56786102e-02 -1.51383188e-02 -1.94140080e-06 2.88804565e-02 -2.01389492e-01 -4.37221676e-02 -5.25789000e-02 -7.61986431e-03 -1.74218207e-03 7.45174941e-03 1.38302937e-01 6.10466814e-03 -1.20491153e-02 -1.74955636e-01 2.65301242e-02 1.09720347e-03 1.24530502e-01 3.26548219e-02 -4.45527164e-03 1.54856086e-01 9.61541608e-02 5.62950596e-02 -9.99886729e-03] [ 0.0947299 0.02966562 0.09428866 -0.07569915 0.00176822 0.00076704 0.09126678 0.04428364 -0.00353933 0.04218801 -0.16090323 0.11045807 0.06845798 -0.07325605 0.0918308 0.11451605 0.0480156 -0.00559035 -0.06651029 -0.0331453 -0.05524534 -0.0877689 0.1425273 0.10144082 0.13178156 0.05147993 0.20378721 0.03733055 -0.07684445 0.06669703 -0.04147559 -0.04032831 0.01832731 0.04782439 -0.05664535 0.0343426 0.11723772 0.03450547 -0.10641775 -0.0206922 -0.12824436 0.01524926 0.02825785 0.00151286 -0.20997152 0.02328219 -0.00714667 0.05773268 0.06984903 0.05993656 0.0402866 0.02405031 0.16859464 0.03712369 0.1180851 0.06635592 0.10936957 -0.05115436 0.10890704 0.07958945 0.10056389 -0.15475945 0.04943095 0.03957416 -0.17988132 0.0301894 0.03519341 -0.00337442 0.08258143 -0.12559502 -0.04170921 0.16111091 0.04690348 0.02466416 0.06612695 0.08143815 0.01720062 0.07883161 -0.06255074 -0.09978347 0.04390322 -0.00341182 0.02249509 -0.12793636 -0.12945245 0.16753152 -0.0577356 0.05088901 0.03427676 -0.12889852 -0.1151992 -0.10772891 0.09382907 0.08576156 0.00475537 0.02633149 -0.0881406 0.08463079 0.03844786 0.19167452 0.08066027 -0.11555195 0.20002384 -0.10848919 0.06855206 0.0491611 0.16384305 0.04107777 0.12540977 -0.16669257 -0.05546418 0.01537389 0.05753307 0.00548792 -0.01325991 0.0252706 -0.05011193 0.05283476 0.06809197 0.12670271 0.03783116 -0.10305765 0.14052361 0.020917 0.10054179 0.10340507 0.01875182 0.01123153] Cos Similarity tf.Tensor(0.43468153, shape=(), dtype=float32) (128,) (128,) [ 1.94687411e-01 1.19416177e-01 7.86082819e-02 -8.46443549e-02 1.08947447e-02 2.61916104e-03 -7.38184676e-02 3.21711972e-02 -5.23443613e-03 -8.41641985e-03 -9.92936045e-02 -1.57917123e-02 6.30627247e-03 2.15977263e-02 7.78560862e-02 -1.53300479e-01 2.46399944e-03 1.22042395e-01 1.49687991e-01 -4.90318350e-02 -3.04574724e-02 7.02789351e-02 1.29026724e-02 1.77274093e-01 -8.63673922e-04 -2.52515660e-03 -1.38864800e-01 -2.73180078e-04 8.11032355e-02 1.27692938e-01 -1.83717430e-01 5.20042814e-02 -2.43455041e-02 1.96159584e-03 3.80575508e-02 2.85612978e-03 -2.11682525e-02 -1.02181040e-01 1.20520052e-02 -2.19004434e-02 -1.84587610e-04 -2.71709426e-03 7.96650129e-05 2.03932337e-02 -8.11315179e-02 1.56390041e-01 -7.08789099e-03 4.31210734e-03 2.49235448e-03 1.75512619e-02 1.22946696e-02 6.25133608e-03 -1.02862129e-02 1.58995658e-03 1.94563041e-03 6.46862900e-04 1.46581203e-01 -3.17706913e-03 7.22575234e-03 7.37937307e-03 1.26891240e-01 -2.08199844e-01 2.86632963e-02 5.62718185e-03 8.96416828e-02 5.88836893e-02 -2.23263563e-03 -1.02556296e-01 -2.09172163e-03 -1.89949945e-01 -1.80382848e-01 -4.17057872e-02 1.81623746e-03 -3.38485884e-03 -5.58668002e-03 1.13936141e-02 2.17132002e-01 1.57754749e-01 9.68395825e-03 1.59599073e-02 4.66698827e-03 2.21900339e-03 1.06906081e-02 -2.05262080e-01 -1.48692757e-01 1.76048607e-01 1.78991705e-01 1.58191565e-03 5.40663023e-03 -5.22666760e-02 4.25415393e-03 3.34247388e-02 9.07226745e-03 1.49622820e-02 4.31221817e-03 2.20212471e-02 -1.66734844e-01 1.91182464e-01 -3.87981161e-03 5.88539690e-02 1.89146787e-01 1.66112572e-01 -5.72550111e-02 8.69474486e-02 -1.59870777e-02 -1.77593119e-02 -9.53246504e-02 2.02012192e-02 8.77013057e-03 -1.85107902e-01 3.71233337e-02 1.24971144e-01 1.30258743e-02 -1.84123188e-01 -1.14557119e-02 4.10525175e-03 1.54515266e-01 -1.23552112e-02 1.07274115e-01 -4.53698076e-03 -1.04103833e-02 1.08748309e-01 1.96113475e-02 -1.73688307e-02 5.37674651e-02 6.93064108e-02 -1.16550095e-01 -1.22406310e-03] [ 1.66345894e-01 -1.16519608e-01 1.00487269e-01 1.61674589e-01 3.55696655e-03 -3.62204053e-02 -8.97020921e-02 -4.40808535e-02 4.07085475e-03 -6.20952575e-03 1.18429296e-01 3.26616643e-03 1.73503086e-02 1.34078413e-01 1.03569441e-02 -1.92696154e-02 -1.03766390e-03 -9.11040902e-02 1.05640881e-01 1.08284786e-01 -1.11864723e-01 1.33831128e-01 7.53132924e-02 4.89085317e-02 -1.92750245e-03 -7.85234384e-03 -1.27167493e-01 -2.09069601e-03 -8.61458853e-03 7.26372898e-02 -1.54196143e-01 8.48043859e-02 -3.51977558e-03 8.97984672e-03 1.32295057e-01 -1.75373331e-02 -2.41648536e-02 -1.50910944e-01 9.37874615e-03 1.72127426e-01 -1.53390259e-01 -1.52564440e-02 -6.68454822e-03 1.36826059e-03 -1.25929520e-01 6.43866658e-02 -1.44555196e-01 7.09767314e-03 8.84214975e-03 3.34513752e-05 3.40603665e-03 6.43259566e-03 1.37277902e-03 9.00496077e-03 1.31887794e-02 2.04148283e-03 -1.17003903e-01 -8.37104861e-03 7.15785846e-03 -6.45049242e-03 -8.79965797e-02 -1.83846489e-01 -1.14993885e-01 -2.37161033e-02 1.49837151e-01 5.47489189e-02 -9.46216192e-03 3.46522853e-02 7.70446705e-03 -1.99130252e-01 -1.40893415e-01 -9.90335494e-02 1.21030398e-03 -3.34441051e-04 1.81752245e-03 -1.90972490e-03 1.88070908e-01 9.27087888e-02 5.09428838e-03 8.85624066e-02 6.91220071e-03 -3.85094294e-03 4.39923070e-03 -1.95017919e-01 1.28148925e-02 3.56872380e-02 -1.01710483e-01 1.27808284e-02 8.38731229e-03 1.45797670e-01 1.32214889e-01 -8.86247531e-02 1.53597640e-02 -4.57432820e-03 -1.83545076e-03 -7.93474391e-02 1.57373212e-02 1.51331723e-01 -4.06748895e-03 -2.20234424e-01 5.77503443e-03 2.17391155e-03 -2.00825378e-01 1.20891266e-01 -1.18706971e-02 -1.14765763e-02 -1.37330398e-01 1.84943005e-02 3.27113154e-03 -1.66723520e-01 1.30643204e-01 1.31901505e-03 1.10769467e-02 -1.43937901e-01 -5.47049455e-02 -8.41739625e-02 1.69054613e-01 5.89563884e-03 -5.28484657e-02 -2.30518319e-02 -5.24017401e-03 1.13400526e-01 -6.73708133e-03 -1.68833528e-02 1.66318417e-01 3.81710380e-02 -5.79913892e-02 -4.19945503e-03] Cos Similarity tf.Tensor(0.45605296, shape=(), dtype=float32) (128,) (128,) [ 1.41717553e-01 1.65952444e-01 4.52906378e-02 -1.72208607e-01 -6.08088216e-03 4.81509790e-03 -1.91383615e-01 -2.05307826e-01 -4.62043984e-03 -3.86290340e-04 4.39677276e-02 1.85703095e-02 1.95962973e-02 -1.22335672e-01 1.25271529e-01 1.21242758e-02 1.04915146e-02 1.68263614e-01 -9.00402963e-02 -5.55547029e-02 -1.25626534e-01 -4.80432399e-02 1.04533404e-01 -1.51529638e-02 2.48356331e-02 -5.16750291e-03 -9.95967239e-02 2.67187366e-03 -1.97979301e-01 -1.66083038e-01 -1.82436064e-01 1.62652045e-01 -2.47792080e-02 -1.41891260e-02 4.09033336e-02 2.83006839e-02 1.32305222e-02 -1.14283092e-01 -1.85764767e-02 8.75864327e-02 1.82254791e-01 -1.11663146e-02 -2.61941692e-04 1.56338383e-02 -1.07666582e-01 -4.18902934e-02 -4.24798653e-02 1.40757365e-02 1.44345434e-02 1.70700904e-02 6.79478701e-03 1.22417390e-04 7.79862003e-03 1.20399930e-02 -9.34578571e-03 -3.96990264e-03 -3.57835405e-02 -3.61509598e-03 2.11692248e-02 7.24813808e-03 -1.08727947e-01 5.56425564e-02 -6.16659923e-03 9.38678905e-03 -6.49897829e-02 -1.07560068e-01 -1.53682930e-02 5.10114878e-02 -3.36881308e-03 1.52526900e-01 4.05236147e-02 -6.82009459e-02 8.48614424e-03 1.01624345e-02 -6.09185966e-03 1.31836012e-02 -1.81623727e-01 6.51249215e-02 1.92013697e-03 1.68284460e-03 3.50518315e-03 4.07250486e-02 -2.79159332e-03 -4.81587872e-02 -1.62310869e-01 -1.78284839e-01 9.59963873e-02 6.02279324e-03 1.24613894e-03 -5.50444238e-02 1.56910345e-01 1.73024327e-01 1.84810124e-02 2.38531060e-03 -1.30003039e-02 1.90178603e-01 -4.99910489e-02 -1.44384965e-01 7.23336171e-03 -9.15762410e-02 4.26776446e-02 1.79817915e-01 -1.16079740e-01 5.85683808e-02 1.05566708e-02 -2.02259086e-02 2.16173187e-01 5.50625427e-03 1.09895999e-02 2.60943417e-02 -1.90125838e-01 -2.72512324e-02 -3.11770197e-03 1.98679268e-02 -2.43079439e-02 -6.23571165e-02 1.34975299e-01 -7.54858309e-04 1.65937796e-01 1.22108031e-02 1.70538004e-03 8.87032598e-02 3.12153827e-02 4.30543981e-02 -1.69642746e-01 8.92080250e-04 -4.07198332e-02 6.74589653e-04] [ 2.01712459e-01 1.27972737e-01 6.46006614e-02 -1.18220868e-02 1.11609334e-02 3.75849642e-02 -1.86236337e-01 6.03370881e-03 -1.70157887e-02 -6.66397950e-03 9.91131440e-02 2.53223218e-02 2.37610228e-02 -5.00527844e-02 1.34635821e-01 -8.31416175e-02 3.74795147e-03 1.08870834e-01 -9.32996348e-02 3.47858369e-02 4.32194956e-02 -1.57416537e-01 2.45527066e-02 1.52403172e-02 1.82280224e-02 9.34593088e-04 -7.25840926e-02 4.98307683e-03 -2.06608087e-01 -3.16535197e-02 -1.55745104e-01 1.32161006e-01 -1.24062402e-02 1.26391780e-04 5.39451465e-02 2.12208424e-02 1.11612314e-02 -6.63158596e-02 -3.09292097e-02 9.11832303e-02 1.11475870e-01 -4.40458505e-04 3.02188681e-03 1.20390775e-02 -1.11370340e-01 -5.98576665e-02 -1.20430827e-01 2.60269549e-02 1.59665979e-02 3.25176492e-02 1.77268647e-02 6.53752079e-03 -7.50467833e-03 1.79338958e-02 -8.50772427e-04 -4.59581846e-03 -4.33455892e-02 1.58909103e-03 2.80640833e-02 5.33623761e-03 -1.21130086e-01 -7.68058077e-02 2.06864476e-02 1.54346013e-02 -1.45635515e-01 -7.79966936e-02 -6.80284854e-03 -5.56256331e-04 2.00896189e-02 1.59055904e-01 9.81423035e-02 2.56300643e-02 5.66756213e-03 5.38560748e-03 5.79166971e-03 3.95719707e-02 -2.14283481e-01 6.09973520e-02 -4.09808895e-03 -7.35576004e-02 1.62438564e-02 -1.56925023e-02 1.13894255e-03 -1.21922649e-01 -2.10420221e-01 -1.09006114e-01 2.22646579e-01 1.70207061e-02 4.22908599e-03 1.51898459e-01 1.35325536e-01 1.70106485e-01 3.65569852e-02 -1.03776960e-03 5.44863241e-03 1.46534786e-01 2.13686414e-02 -2.24183485e-01 1.20196110e-02 -1.37739733e-01 9.05082300e-02 1.62862718e-01 9.98706184e-03 9.17279273e-02 7.61207100e-03 -1.19827148e-02 1.58680692e-01 1.92577485e-02 2.24360563e-02 -1.61966473e-01 -1.11067548e-01 -1.08109221e-01 1.44313788e-02 -4.84366603e-02 -7.23950788e-02 1.13399029e-01 1.37401760e-01 -4.30293236e-04 7.23865554e-02 -3.06555387e-02 -9.16500110e-03 -1.41456097e-01 3.85345593e-02 2.68961471e-02 -1.97162241e-01 6.87288940e-02 -7.77265290e-03 1.45965610e-02] Cos Similarity tf.Tensor(0.7442929, shape=(), dtype=float32) (128,) (128,) [-1.13530725e-01 1.52192116e-01 1.21998921e-01 1.20116226e-01 3.69483232e-03 -5.93897095e-03 -5.10307625e-02 1.39853105e-01 -3.12685990e-03 -2.96028657e-03 1.64123684e-01 -2.82105408e-03 1.86789446e-02 1.49015024e-01 4.71019186e-02 -1.44176275e-01 1.87086000e-03 1.55259266e-01 1.26294091e-01 -1.39660284e-01 3.05316430e-02 -1.58795565e-01 -9.48196277e-02 1.36318699e-01 2.22264677e-02 2.90163178e-02 8.74538347e-02 2.07985416e-02 1.39485404e-01 -2.00409032e-02 -4.89364713e-02 -1.32546484e-01 -9.84397833e-04 1.65402237e-02 -1.70912519e-01 3.01122339e-03 9.22360457e-03 -3.83077264e-02 -1.24697527e-02 1.14307143e-01 -9.05333534e-02 1.07547257e-03 -7.18942902e-05 -2.29760911e-02 1.42469347e-01 -1.60971895e-01 2.73934547e-02 1.54088214e-02 8.20360146e-03 3.15251462e-02 1.52275711e-03 1.56129915e-02 1.08255651e-02 3.93714057e-03 3.57025256e-03 1.52099263e-02 2.51525734e-02 -1.00852605e-02 1.97687841e-04 5.40112890e-03 -8.56129974e-02 -1.35968029e-01 9.39419866e-02 1.19335372e-02 -1.60538763e-01 -1.51686206e-01 -9.41040867e-04 -6.49847165e-02 8.45957547e-03 6.80125803e-02 4.94201891e-02 8.31082091e-03 3.29025974e-03 1.83973759e-02 -3.90384928e-03 -9.46927164e-03 1.39829710e-01 -1.07337028e-01 -2.08279653e-03 -1.53312266e-01 -7.08795385e-03 3.79681325e-04 -1.84441311e-03 7.52879307e-02 -1.10373229e-01 -4.17763274e-03 1.60984546e-01 4.50660195e-03 -3.62194586e-03 6.20182529e-02 -1.52970701e-01 1.31447852e-01 1.03913993e-02 1.54968305e-02 1.86782423e-02 -1.56074107e-01 3.60540040e-02 -1.72857508e-01 5.94447413e-03 1.29227728e-01 1.67037115e-01 -7.06496881e-03 1.70622006e-01 -3.55234183e-02 1.02721411e-03 -3.09735042e-04 -1.78098649e-01 -7.93007086e-04 7.33336108e-03 -7.19686318e-03 1.49458513e-01 -9.52507704e-02 1.99706759e-02 1.63168922e-01 3.07306200e-02 -1.53108820e-01 -1.53599858e-01 3.77554283e-03 -1.10147893e-01 1.60409454e-02 3.69123905e-03 1.65433586e-01 -8.40840768e-03 -3.01631223e-02 3.90570499e-02 9.83630642e-02 -1.21317446e-01 -9.32986755e-03] [-0.0504628 0.11339689 0.10318916 0.03379996 0.00413779 -0.01270167 -0.08039932 0.14130835 -0.00538097 -0.00217838 0.15909384 -0.00076112 0.01603307 0.1521451 0.0713184 -0.16694607 0.00223292 0.16345792 0.11811678 -0.14459093 0.03551599 -0.15437229 -0.04735314 0.14410564 0.02108492 0.02828464 0.07407608 0.02230908 0.049287 -0.02063568 -0.05548966 -0.14943896 -0.00596915 0.01751847 -0.17131598 0.00771544 0.00790657 -0.074812 -0.01358427 0.12372132 -0.08637391 -0.00205422 -0.00096027 -0.02548964 0.1426561 -0.1658315 0.12707847 0.01765234 0.00798428 0.03213048 0.00100372 0.01634677 0.01018179 0.00300813 0.00194384 0.01599307 0.0809493 -0.00714336 -0.00439101 0.00998919 -0.08027646 -0.13731408 0.10286991 0.01229599 -0.17040212 -0.1530853 0.00108242 -0.05705104 0.00831327 0.06829385 0.07356296 0.00604866 0.00347314 0.01974671 -0.004703 -0.00959991 0.14153448 -0.10965106 -0.0023258 -0.14182533 -0.00351936 0.00031204 -0.00031448 0.08164549 -0.1094271 0.110053 0.1328225 0.00490722 -0.00402233 0.07636663 -0.1563417 0.09674174 0.01283186 0.01540788 0.0206225 -0.15850283 0.03818777 -0.17477056 0.00978888 0.14803858 0.16641518 -0.00429083 0.17302974 -0.11902245 0.00045747 -0.00201361 -0.18020812 -0.00655031 0.01270709 -0.00300652 0.06122334 -0.09182801 0.02229095 0.16569747 0.05170115 -0.15414716 -0.15568131 0.00231565 -0.13669668 0.01746511 0.00132911 0.16972661 -0.00844027 -0.01982085 0.02213836 0.10408374 -0.09959459 -0.00375268] Cos Similarity tf.Tensor(0.9625652, shape=(), dtype=float32) (128,) (128,) [-2.15157568e-01 5.74809238e-02 -1.03803128e-01 6.27787737e-03 -9.95617267e-03 9.73906741e-03 1.48827180e-01 1.24859400e-01 -5.67437382e-04 4.59827343e-03 1.43789873e-01 -5.50058205e-03 1.16824256e-02 2.84847543e-02 1.91103257e-02 -3.34927067e-02 3.67108756e-03 -3.29870768e-02 1.56372830e-01 6.01528846e-02 8.33381265e-02 -2.18892589e-01 -4.31196466e-02 3.91404610e-03 2.20731664e-02 1.12872887e-02 4.06361185e-02 -3.23478431e-02 2.22924694e-01 -2.58363248e-03 1.60861492e-01 -1.68521821e-01 9.44202021e-03 -1.22742075e-02 7.53453076e-02 -3.18767689e-02 2.80235838e-02 -1.92906946e-01 9.19213053e-03 7.53002986e-02 6.25080243e-02 1.23808738e-02 -6.43153489e-03 -6.49892353e-03 -1.77926384e-02 2.15048179e-01 -2.32244004e-02 9.05932757e-05 9.32727568e-03 1.46856839e-02 1.36926202e-02 2.11731419e-02 1.90827064e-02 1.12232026e-02 1.25809945e-03 1.71434600e-02 7.33691901e-02 5.97921107e-03 4.02371027e-03 9.76544246e-03 1.57963619e-01 2.56233569e-02 -1.52137384e-01 3.79333296e-03 1.79565549e-01 -1.51960209e-01 -9.85805411e-03 5.78949153e-02 5.72746061e-03 -1.28637895e-01 1.24231204e-02 -2.02273875e-01 2.47734841e-02 -3.50751705e-03 4.87624248e-03 -5.82522363e-04 -8.40503573e-02 -5.19654267e-02 -4.38580959e-04 -4.77966368e-02 -2.46643201e-02 8.84222016e-02 -1.99062265e-02 -1.85425058e-01 -5.82589507e-02 -5.48199611e-03 8.35259482e-02 5.29190339e-03 7.48508703e-03 2.36172795e-01 6.34195209e-02 3.72903747e-03 -1.56863406e-03 7.57576805e-03 3.32145113e-03 -1.93183199e-02 8.38619024e-02 -2.38748938e-01 -7.49452598e-03 2.82208137e-02 1.19023636e-01 -5.67485206e-02 -1.67764425e-01 -9.10672024e-02 -1.96831916e-02 -2.07844209e-02 5.73934317e-02 -6.63388800e-03 -2.35293675e-02 2.28964556e-02 -1.15453556e-01 -6.94935024e-02 -2.94512394e-03 1.03024103e-01 7.07867220e-02 -2.36593321e-01 -1.29068866e-01 1.56072769e-02 5.39809316e-02 8.02364107e-03 4.16266499e-03 1.33885995e-01 2.61986889e-02 -4.04656492e-02 1.70469239e-01 3.02778129e-02 1.94529053e-02 -6.44317828e-03] [-1.87129259e-01 3.69935594e-02 -7.60595798e-02 -2.53876392e-02 -2.51553096e-02 2.08730809e-03 2.88621653e-02 8.78479406e-02 9.35812388e-03 2.23019719e-03 7.97686949e-02 -5.82653144e-03 1.06782857e-02 -5.92186488e-03 -1.99101330e-03 3.59269194e-02 -2.29061441e-03 -4.33385000e-03 -3.87055776e-03 -1.93612710e-01 1.04858041e-01 -2.19028443e-01 2.84511480e-03 3.17998417e-03 2.71332972e-02 8.31478182e-03 -8.67186934e-02 -2.80798431e-02 1.45227402e-01 2.09316939e-01 9.82825086e-02 -1.70626771e-02 2.29357220e-02 -3.28059830e-02 -4.79669310e-02 -2.12564562e-02 2.42238063e-02 -1.21581800e-01 -1.24432351e-02 1.33025229e-01 7.26891235e-02 1.28974281e-02 -1.16971424e-02 6.56493520e-03 -1.24204531e-01 1.93430245e-01 -4.02393080e-02 9.49903019e-03 2.06839684e-02 1.05240177e-02 1.04267607e-02 9.57777957e-04 2.44181603e-02 1.01253232e-02 -5.63806854e-04 1.41133480e-02 2.06813827e-01 -1.37936445e-02 2.50959210e-02 1.41405156e-02 2.03520745e-01 9.34205204e-02 -6.79947063e-02 2.03843359e-04 1.70758873e-01 -6.85969740e-02 -1.21191600e-02 -3.40430206e-03 6.91286987e-03 -1.22358248e-01 -1.24416418e-01 -2.33044922e-01 1.08143138e-02 -2.51542707e-03 -5.70697244e-04 2.51461435e-02 8.27866048e-02 8.00814778e-02 1.29783482e-04 -6.21815436e-02 -9.53409355e-03 2.33422872e-02 -8.34567007e-03 -1.78669155e-01 1.67147875e-01 -1.12318300e-01 -1.82112753e-02 2.18411554e-02 1.41257104e-02 2.02798739e-01 5.12240408e-03 7.98832625e-02 3.06596095e-03 2.10267073e-03 6.33431133e-03 1.24800950e-01 1.02401618e-02 -2.44770676e-01 -6.40464947e-03 -4.67238240e-02 2.14342564e-01 1.39569297e-01 -9.31625441e-02 -1.02338739e-01 -1.20037969e-03 2.77317851e-03 3.69517319e-02 2.07831245e-03 -1.31000252e-02 1.49146557e-01 -1.86981410e-01 9.91967320e-02 -9.54393577e-03 5.21234162e-02 1.26128728e-02 3.93611491e-02 -6.38226420e-02 7.02776900e-03 -4.34667990e-02 2.62063928e-02 -3.16033419e-03 2.11689025e-01 2.06044875e-02 -3.00696548e-02 9.38510299e-02 2.22425964e-02 7.33552799e-02 -1.33760162e-02] Cos Similarity tf.Tensor(0.6500022, shape=(), dtype=float32) (128,) (128,) [ 4.89909649e-02 -1.26891807e-01 4.54884805e-02 -1.99795663e-02 -2.24226452e-02 -6.55094013e-02 -1.77417144e-01 -1.79325014e-01 2.15721820e-02 5.59812924e-03 -4.81527019e-03 2.11086683e-02 2.84974314e-02 -1.41073003e-01 -1.40339611e-02 6.57636300e-02 2.26772074e-02 8.71552993e-03 1.56151146e-01 -6.20624833e-02 -3.42284925e-02 -1.48188293e-01 -1.62493542e-01 6.17541485e-02 2.08176747e-02 1.81633402e-02 5.64951785e-02 1.00339074e-02 -1.66534662e-01 1.09367669e-02 1.33541673e-01 -1.13758817e-02 1.77681521e-02 -2.92065889e-02 1.69592872e-01 7.78136821e-03 9.58841387e-03 -1.66035041e-01 -8.71106796e-03 1.51413098e-01 -9.99948233e-02 -3.17913061e-03 4.08665789e-03 3.67341843e-03 -1.48670539e-01 -1.87399387e-01 1.53528214e-01 3.44673172e-03 2.39261743e-02 1.77396908e-02 1.48337064e-02 -1.62730471e-03 7.22375372e-03 1.87914092e-02 1.30585730e-02 9.11856070e-03 2.40491461e-02 1.31243246e-03 1.42367110e-02 7.75344437e-03 -1.44226760e-01 5.77842556e-02 1.28188908e-01 7.39869196e-03 -1.66981921e-01 1.34708911e-01 -1.09342923e-02 2.50592697e-02 -1.21017760e-02 1.60542279e-01 -9.34017915e-03 -6.60854857e-03 -5.51218214e-03 1.22173280e-02 1.44477905e-04 3.84158976e-02 8.41079578e-02 8.38071927e-02 -8.82863253e-03 1.35336250e-01 2.35492531e-02 8.39437300e-04 -1.30349596e-03 -1.23319305e-01 -1.01388976e-01 -5.56022078e-02 -1.58589587e-01 1.73694324e-02 1.46872345e-02 1.06397405e-01 -4.39562500e-02 -3.00930236e-02 2.69127078e-02 1.61778554e-02 -1.50640868e-02 -1.24072686e-01 1.87476486e-01 -1.75126031e-01 1.27448235e-02 -6.76876977e-02 1.92465618e-01 8.17722827e-02 -1.92792803e-01 1.97918802e-01 2.56469436e-02 -8.54370091e-03 -1.71202630e-01 2.81699523e-02 2.87027899e-02 -1.97394982e-01 6.36864230e-02 -7.36598000e-02 1.10351536e-02 -1.00350529e-01 -5.19250445e-02 1.70520008e-01 -1.09342426e-01 -5.15257590e-04 -8.56717862e-03 -2.02866457e-02 7.92427734e-03 -1.15064345e-02 1.18426736e-02 -2.58740433e-03 -7.18133673e-02 1.19114608e-01 -1.13211237e-02 1.07982904e-02] [-0.07494164 -0.18015139 0.0136114 0.07457256 -0.01892986 -0.1536227 -0.19849655 -0.0853758 0.02503059 -0.00066049 0.08999327 0.00501989 0.00994202 0.09666331 -0.13053268 0.08202898 0.02707612 -0.08557759 -0.16951035 0.10572633 -0.05792804 -0.16769105 -0.15895419 0.01855629 0.00993077 0.01243862 -0.01259903 0.00390406 -0.13497052 0.07583965 -0.09758314 -0.00747993 0.01262578 -0.00978459 0.06895031 0.01895954 0.00820745 -0.20130728 -0.00901254 0.10427423 0.06104214 -0.00779707 -0.01435927 0.02835472 -0.09609003 -0.183761 -0.06677005 0.02262069 0.01486246 -0.00433586 0.0122965 -0.0023054 0.00029521 0.01686541 0.01853078 0.01297374 0.12897862 -0.01274064 -0.00040714 0.0012323 -0.11951032 0.20965658 0.07163979 0.00755042 -0.11264575 -0.04803514 -0.00039257 0.1637385 -0.01449215 0.04451328 0.03047623 0.11844949 0.01546064 0.02543957 0.00248269 0.0208359 0.11375037 0.08598799 0.00569587 -0.10759591 0.00163173 -0.0114172 0.00397374 -0.05718509 0.20393482 -0.15291241 0.06823905 0.01065698 0.01105081 0.14754283 -0.04840819 -0.17672035 0.0082356 0.01864639 0.00424007 0.18032257 0.09834789 -0.07870141 0.00830591 0.12286462 -0.08749453 -0.17331302 0.15370175 -0.09199796 0.00966468 0.01744475 0.03413115 0.00656455 0.016417 -0.16695349 0.03254893 -0.03711187 -0.01809432 -0.0035616 -0.04948932 0.17922387 0.06779165 0.00483805 0.15932165 -0.01917277 -0.00709543 0.16785488 0.02621271 -0.0081265 -0.03517002 0.10374474 -0.14271675 0.00389392] Cos Similarity tf.Tensor(0.27039993, shape=(), dtype=float32) (128,) (128,) [-2.37280764e-02 -1.78673342e-02 1.12338342e-01 -1.43848404e-01 1.33537585e-02 1.30408938e-04 -1.65854201e-01 -4.60320897e-02 1.63861364e-02 -1.29636389e-03 -2.11265907e-02 9.84934065e-03 2.89226021e-03 1.69889241e-01 9.17151421e-02 1.64203823e-01 9.91803315e-03 3.56482901e-02 3.86373661e-02 3.37617509e-02 1.44628301e-01 -1.25189513e-01 1.43938854e-01 -9.04593095e-02 6.03979686e-03 1.40199838e-02 1.10085793e-01 2.46229153e-02 -1.11794375e-01 -1.13064796e-01 -1.75966769e-01 -1.35572881e-01 -1.91026386e-02 1.95180364e-02 -1.84666991e-01 -9.93242860e-03 2.37864885e-03 1.79453671e-01 -1.46611761e-02 1.52884290e-01 1.20366357e-01 -1.08244419e-02 -1.72483351e-03 1.55087473e-04 1.54072106e-01 1.87267408e-01 2.80676992e-03 1.63088888e-02 2.19351072e-02 4.38584830e-04 3.81085812e-03 4.40251874e-03 5.50416997e-03 9.53623326e-04 2.05034632e-02 2.58731488e-02 9.38536525e-02 -2.24078749e-03 1.15410192e-02 6.36556884e-03 -1.35417759e-01 -4.75589149e-02 -9.31135342e-02 4.75580571e-03 -6.13306509e-03 -1.51426330e-01 1.13247801e-02 1.65388346e-01 1.48925586e-02 9.47111621e-02 1.48797303e-01 -1.29357412e-01 2.01854273e-03 3.89203243e-02 -1.41654653e-03 2.03453340e-02 1.70457587e-01 -1.73919976e-01 -1.05516724e-02 -1.56126738e-01 -1.75014138e-03 -1.00000920e-02 2.10912228e-02 1.58514500e-01 1.34470820e-01 1.06249332e-01 -1.48052409e-01 1.06090521e-02 -4.24506841e-03 7.41084740e-02 4.72005606e-02 -1.36878759e-01 5.17240958e-03 1.32266311e-02 -1.29614002e-03 -5.62456436e-03 1.21577904e-01 4.75055650e-02 1.88135460e-03 -1.53697982e-01 -6.37207925e-02 5.93350455e-02 1.89995348e-01 -4.98018339e-02 4.65626782e-03 -1.85701270e-02 -1.03619091e-01 2.47219671e-03 -1.22353085e-03 6.24283440e-02 1.24111451e-01 5.55449910e-02 5.61901182e-03 -1.48166418e-01 4.40170569e-03 6.68223426e-02 1.24457657e-01 1.40483212e-02 -6.55860305e-02 7.22224219e-03 7.35425274e-04 -1.13278277e-01 8.93436838e-03 1.77969364e-03 1.77601874e-01 -5.02069704e-02 -8.76160562e-02 -8.33017053e-04] [ 0.08487611 0.16717584 0.07423893 -0.174566 0.02004646 0.00161124 -0.14021683 0.00331376 0.01371008 0.0048344 -0.11203307 0.03461365 0.03978742 0.0891578 0.08029851 0.14152947 0.01997863 -0.07323831 -0.09150203 -0.03122218 0.14636435 -0.11507323 0.16169298 0.07715373 0.01606686 0.01343114 0.16893743 0.02855259 -0.11011671 -0.14715165 -0.17815901 0.0448692 -0.02460846 0.0450431 -0.16260989 -0.01046755 -0.00225749 0.16482033 -0.04431538 0.14227739 0.13943718 -0.01071246 0.00066071 0.00062395 0.14710094 0.09211572 -0.08921161 0.03360583 0.0247505 0.00436174 0.00381975 0.00689332 0.02784962 -0.004592 0.03640014 0.04082116 0.11051829 0.02096687 0.03187278 0.0242415 -0.14826432 -0.12157342 -0.08309533 0.03501051 0.11650647 -0.11630805 0.01899806 0.16373162 0.02634972 0.09082091 0.15649807 -0.06758634 0.00805449 0.04761311 0.00681628 0.03849289 0.16039747 -0.16339383 -0.00134326 -0.16099228 0.00536338 -0.00383872 0.01292819 0.11701643 -0.10072094 0.0119108 -0.16210306 0.00668841 0.00785928 0.10978284 0.02001145 -0.12183411 0.01891497 0.03357629 0.01721216 -0.10695001 -0.04890074 0.10321344 0.00524577 -0.1437867 0.04765721 0.15233393 0.18320146 -0.07473031 0.01454756 -0.02132522 -0.06119044 -0.00422699 0.02245017 0.03335015 0.00608092 0.03126723 0.0103914 -0.15559338 -0.02757786 -0.00703936 0.1305791 0.02285279 -0.148307 0.02598576 -0.02331764 -0.07030616 0.00913802 0.01101177 0.17846362 0.04932773 -0.04796096 0.00283973] Cos Similarity tf.Tensor(0.8006662, shape=(), dtype=float32) (128,) (128,) [-0.11443981 0.16348785 0.08755784 0.08064005 0.00368227 -0.00830348 -0.03883041 0.15773875 -0.01206953 0.00638227 -0.05876986 0.00820798 0.00249766 0.06017243 0.10412064 -0.1573912 -0.0055416 0.14901133 -0.18049088 -0.13209887 -0.0741825 0.15137085 -0.1690928 -0.04658104 -0.00353302 -0.00099748 0.13521455 0.00064163 0.05816913 -0.12908351 -0.05008526 -0.18328997 0.00239896 0.01951021 0.13240944 0.03277682 0.00971505 -0.112032 -0.00558832 0.14621791 0.02874497 0.00411897 0.00859685 0.0074103 0.10699119 -0.02125707 0.04628628 0.01321397 -0.00153741 0.02100087 0.01032679 0.007402 0.01770809 0.00630504 0.01729986 -0.00295139 0.07239638 -0.00406142 0.00872701 -0.00271382 -0.14391115 0.22007838 0.04262682 -0.0035361 0.1949967 -0.1309908 0.00464809 0.11609814 0.00103147 -0.03950454 -0.15557453 -0.14118738 0.00969787 0.01793007 0.01087922 -0.00055183 -0.10682918 0.00132929 -0.00238403 0.1974874 -0.00982777 0.00181901 -0.00213024 0.03895457 0.00621571 0.15370972 -0.06125876 0.00230192 0.0059504 0.17447977 0.12167063 -0.07133908 0.00622228 0.00242795 0.00230742 0.10560948 -0.09210141 -0.06530306 0.01154839 -0.12686543 0.08482932 -0.1482476 0.07817635 0.12217571 -0.0008057 -0.00274499 0.15084486 0.0075645 -0.01246519 0.01470371 0.11706192 -0.08758454 0.02259567 -0.12814415 -0.03555453 -0.04074696 -0.13046183 -0.0027221 -0.17441821 0.01277381 0.00524572 0.17224017 0.02137278 -0.00624135 0.21083224 0.05227949 0.01706423 0.00606511] [ 7.79479090e-03 1.53121218e-01 7.46434107e-02 -9.36659053e-02 1.74487184e-03 1.48731679e-01 -9.32589471e-02 1.95995644e-01 -1.37560377e-02 7.83131272e-03 -1.76260173e-01 1.82052710e-04 -3.16229952e-03 1.00977212e-01 1.10881880e-01 -1.91088840e-02 -7.78043736e-03 1.24480143e-01 -1.66349500e-01 -5.06051145e-02 5.54132536e-02 1.64166376e-01 -1.80228069e-01 2.57652893e-04 -3.00330971e-03 -2.56457762e-03 9.47594196e-02 4.76215687e-03 5.26549444e-02 -8.30859095e-02 2.81682685e-02 -1.67415008e-01 1.09937112e-03 1.45896152e-02 5.75362146e-02 3.72419246e-02 5.63167082e-03 -9.30739269e-02 -7.46486150e-03 1.20163873e-01 -7.48962387e-02 8.96371622e-03 8.59264284e-03 4.56333114e-03 1.29079580e-01 1.00865871e-01 9.76890028e-02 1.76747851e-02 4.16173163e-04 2.23889612e-02 1.01634488e-02 7.95635767e-03 2.25545336e-02 8.65360163e-03 1.91089585e-02 -5.70909167e-03 -7.42411464e-02 9.42523940e-04 9.86511353e-03 -4.87907697e-03 -3.23840603e-02 2.24794269e-01 1.74620137e-01 -2.83747353e-03 1.66105568e-01 -1.33084491e-01 9.91135091e-03 1.23846881e-01 1.55846132e-02 4.24001962e-02 -2.00613216e-01 -9.66249034e-02 8.34040809e-03 2.00212318e-02 1.86620373e-02 5.33655635e-04 -3.04040797e-02 -9.77729559e-02 -7.40506221e-03 1.81511119e-01 -8.25874880e-03 -2.24955310e-03 1.96905318e-03 1.35118023e-01 1.56980380e-02 2.02819794e-01 -8.32209513e-02 1.69926602e-03 5.99073293e-03 1.43835410e-01 2.37273816e-02 -1.58041522e-01 8.83123744e-03 4.45039896e-03 4.54054493e-03 8.18254575e-02 4.84094806e-02 3.02875582e-02 5.20015461e-03 -6.28259331e-02 -1.66970827e-02 -1.89973921e-01 1.57818854e-01 1.36099309e-01 3.88575601e-03 7.89134210e-05 1.31402016e-01 5.32398280e-03 -2.34014280e-02 1.71670884e-01 6.36099875e-02 -1.27738714e-01 2.19690185e-02 2.82976516e-02 1.02980947e-02 1.25404939e-01 -1.69523880e-01 -1.10530425e-02 -1.84343159e-02 5.55906771e-03 8.42909515e-03 1.42521605e-01 2.09771059e-02 -8.31022765e-03 1.41891748e-01 5.31219542e-02 4.04271148e-02 6.02094503e-03] Cos Similarity tf.Tensor(0.7701417, shape=(), dtype=float32) (128,) (128,) [ 0.07155748 -0.1637757 0.11283255 -0.18178199 -0.01243346 0.0008831 0.10980894 -0.1305082 0.01408559 -0.00175541 0.15885328 0.01664297 0.00239911 -0.1068882 -0.066065 0.11104144 0.00258294 -0.01070759 0.03591393 0.12670407 -0.14012979 0.03438569 -0.1182281 -0.04190499 0.00872908 0.0125014 0.18273014 0.00334608 -0.19431873 -0.08408003 0.02561091 0.08926769 -0.01379633 -0.01701288 -0.14488411 -0.00164652 0.00249497 -0.18803528 0.0040373 0.14830093 -0.19324555 0.00358096 -0.00922684 -0.01083291 -0.08551636 -0.1722408 -0.13544326 0.01115696 0.01422861 0.00463808 0.01276265 0.0043509 -0.00497642 0.00370884 -0.0029182 0.00334603 -0.17299013 0.01041189 0.01566711 0.00118304 0.12717713 0.05852041 -0.14204247 -0.01032057 -0.086349 0.13341597 -0.0038221 0.03682045 -0.00207969 -0.14325933 0.04383206 -0.16626623 -0.00257835 -0.00746187 -0.00540937 0.00492596 -0.00047446 0.10845991 0.00563752 -0.04702688 0.00860391 -0.01028391 -0.00818102 0.14579351 0.10894997 0.11290847 0.06206908 0.01289677 0.00186358 -0.1376253 -0.06829692 -0.18285231 0.0094362 0.01442713 0.00625376 -0.17852765 0.15821694 0.00752361 -0.00260824 -0.0191771 0.14769164 0.13616154 0.01111623 0.09481258 -0.00364779 0.02414298 -0.09803422 -0.00645278 0.01000877 -0.1367957 -0.15624797 -0.10258438 -0.00847859 0.01224922 -0.0174456 -0.08648841 -0.03289367 -0.01822522 0.13902809 -0.01984615 0.003879 0.1691156 0.02965798 0.01678608 -0.1398471 0.08718381 -0.01907142 0.00235641] [ 0.08259349 -0.17543276 0.06853414 -0.11578763 -0.01227624 0.0035679 0.08087371 -0.08185512 0.00215984 0.00520787 0.17134713 0.00875508 0.00362555 0.00457707 0.00954643 0.10843045 -0.00157203 -0.00057342 0.03636172 0.17283277 -0.15363526 -0.00809849 -0.15680805 -0.05557996 -0.00943371 0.0135225 0.21118447 0.00224087 -0.2121519 -0.07907058 0.01309981 0.13129765 -0.01062524 -0.02232568 0.0322786 0.02447666 -0.00565191 -0.13576499 0.00137346 0.0978236 -0.19037862 0.00872234 0.00100125 -0.01194771 -0.05588858 -0.17146075 -0.14797054 0.00949663 0.00832293 0.00510732 0.01346033 0.00163323 -0.01415064 0.00469156 -0.00839951 0.00476855 -0.15135252 0.00133251 -0.00156115 -0.00025439 -0.00315969 0.11657978 -0.0352383 -0.0117737 -0.11002226 0.20553319 -0.01023759 0.01918874 -0.01714667 -0.1854672 -0.15656902 -0.13088992 -0.00582903 -0.00543427 -0.00347173 -0.00794552 -0.02302449 0.14344049 0.00197873 -0.00903352 0.0041364 -0.00673976 -0.00869486 0.14588405 0.11662871 0.04239892 0.0919393 0.00752279 0.00419378 -0.1955041 0.05870922 -0.07391153 0.00825604 0.01653372 0.00119731 -0.19714023 0.17235394 -0.01413629 -0.00253885 -0.08686609 0.11335357 0.07202718 -0.1937327 0.09037168 0.00326139 0.01252819 -0.13916765 -0.01654417 0.00562773 0.00985682 -0.14983545 -0.1155678 -0.00927839 -0.1495175 -0.02431978 0.02150748 -0.05903966 -0.01305303 0.04446289 -0.02706136 0.00612972 0.18152836 0.01520934 0.00313305 -0.1338465 0.069842 -0.08188064 -0.00140701] Cos Similarity tf.Tensor(0.835811, shape=(), dtype=float32) (128,) (128,) [ 5.51978126e-02 -6.66132644e-02 2.29149014e-02 1.01906367e-01 -2.09524874e-02 -1.02662761e-03 -4.09806855e-02 -2.31501564e-01 6.05098065e-03 -7.64234690e-03 1.69112667e-01 -1.57924239e-02 4.45297780e-03 1.24956742e-01 -3.20954584e-02 1.40348926e-01 1.96152646e-03 2.86682025e-02 -1.31237820e-01 -1.31911755e-01 3.65242213e-02 5.32493219e-02 2.00766951e-01 3.28984782e-02 -9.23564285e-03 -4.06339671e-03 -6.30780831e-02 -1.00223850e-02 1.51234597e-01 7.58900419e-02 -1.27471045e-01 -1.31965622e-01 1.51757980e-02 1.13874208e-02 2.63842307e-02 -5.24646044e-03 -2.72061094e-04 1.61456570e-01 -1.33740585e-02 -1.36203617e-01 -1.38167646e-02 -1.50866772e-03 4.42946097e-03 1.55303786e-02 6.71628639e-02 1.63999632e-01 -1.26763910e-01 4.17134678e-03 3.79042048e-03 7.72469956e-03 -8.08393874e-04 -1.33300491e-03 -5.72693301e-03 3.42947990e-03 -1.36188893e-02 2.61461013e-03 -3.17795053e-02 -1.51405800e-02 8.84478353e-03 -2.23407559e-02 1.68511242e-01 -1.26610100e-01 1.54300690e-01 -6.80921413e-03 -2.19247565e-01 1.54051006e-01 5.19161718e-03 2.21398361e-02 -1.60573348e-02 1.12494782e-01 4.13145013e-02 2.08009958e-01 -8.64405592e-04 1.56698413e-02 -1.26301302e-02 9.37090442e-03 4.95794676e-02 1.80279855e-02 -1.01683186e-02 -1.05714746e-01 -3.16777453e-02 -6.66847033e-03 1.58143137e-02 1.50608150e-02 -2.62064654e-02 1.30770981e-01 -7.84452111e-02 5.82090439e-03 -6.30394509e-03 -1.04808383e-01 -7.41782561e-02 8.44533145e-02 -3.20887356e-03 1.56209692e-02 -8.18937831e-03 1.03017792e-01 -1.84685335e-01 1.65691629e-01 5.58413751e-03 2.36289185e-02 1.51549801e-02 2.19594643e-01 2.13705882e-01 -1.89350903e-01 -1.57074556e-02 -8.35228930e-05 -1.44241765e-01 -3.05840804e-05 -8.10152572e-03 1.39932513e-01 2.27017198e-02 -9.24497619e-02 -1.33600105e-02 1.78233787e-01 -2.76791956e-02 7.72478357e-02 -1.63245816e-02 -2.95616761e-02 -2.20368817e-01 -2.63996087e-02 -8.89972690e-03 2.08790656e-02 1.28043974e-02 -1.43483281e-02 -6.06007352e-02 -1.23124896e-02 -9.07304734e-02 -9.89923999e-03] [ 0.12030174 -0.1209005 0.05614664 0.07983297 -0.01095185 0.00727947 -0.17003253 -0.08904725 0.01024112 -0.00372411 0.22516297 0.02430031 0.02061825 0.04022801 0.03358571 0.06288964 0.01163288 -0.07153481 0.16263098 0.08600134 -0.04431045 -0.06703326 0.07821994 -0.03572847 -0.00858632 0.00499692 -0.12545739 -0.0034295 0.131992 0.09543857 -0.24703972 -0.14092869 0.01357947 0.03354161 0.10520868 0.01759299 0.02343517 0.0923866 -0.03103369 -0.02706762 -0.11462375 0.00273031 0.00542529 0.04161488 0.04882823 0.05694794 -0.04293466 0.01449103 0.01002065 0.02653835 -0.0056876 -0.00030351 0.01249727 0.01018043 0.01515142 0.01250355 0.03841524 -0.01761887 0.02604698 0.00331205 0.11293563 -0.12207989 0.01171825 -0.00697921 -0.11292278 0.14769599 0.00914905 0.21380849 0.01535422 -0.18144445 0.17417079 0.02275073 0.01312369 0.03402367 -0.01177265 0.03323818 0.19850181 -0.11950465 0.00439815 -0.06435718 -0.00433915 -0.00448924 0.01656173 0.17007196 0.10400732 -0.01615366 0.00564238 0.01847708 0.01088086 -0.20515123 -0.07440495 0.08112437 0.00551706 0.03395706 -0.01409328 0.1655748 -0.15201831 -0.14686091 -0.00121348 -0.03219539 0.0643025 0.04067105 0.21178894 -0.24416415 0.00513077 0.01111768 0.0151022 -0.00740547 0.01593808 0.15022148 0.00943696 0.06979626 -0.01315014 0.06553981 -0.0755484 0.07269216 -0.01913541 -0.00597817 -0.18962556 -0.01001163 -0.01655429 -0.06600142 0.02027204 -0.0021047 -0.20368503 0.02238191 -0.00320559 -0.00184162] Cos Similarity tf.Tensor(0.53933895, shape=(), dtype=float32) (128,) (128,) [ 4.41678725e-02 1.38108864e-01 -2.93577313e-02 9.71140862e-02 -5.99691831e-03 -1.07870474e-01 4.61533926e-02 4.52832207e-02 -5.41599095e-03 -1.10346396e-02 -2.27576077e-01 -9.34895687e-03 -2.04443280e-03 1.51871070e-01 1.04742900e-01 3.93066294e-02 -1.86982825e-02 -1.19110234e-01 1.33312061e-01 -5.81386313e-02 3.60395238e-02 -1.97707415e-01 1.23693362e-01 -1.06606232e-02 -6.09437935e-03 5.17685257e-04 9.98134091e-02 -2.82429829e-02 1.68206245e-01 1.93128034e-01 -2.21964672e-01 2.10401729e-01 -6.51191315e-03 -4.77119349e-03 -8.54405612e-02 -1.99717190e-02 -5.26455231e-03 2.00992115e-02 1.12598483e-03 -3.98704968e-02 -3.55124101e-02 -1.10357860e-02 -2.49037170e-03 -1.45338010e-03 -8.08194801e-02 2.00994208e-01 -9.43022370e-02 -5.98533545e-04 -2.86596012e-03 1.29440781e-02 3.02274758e-03 6.62346417e-03 -5.92895597e-03 2.36151717e-03 2.42175840e-04 4.79619578e-03 1.17384270e-01 -6.04752731e-03 3.07140569e-03 -7.75654428e-03 1.45662546e-01 -3.81319635e-02 2.01094642e-01 -1.79107452e-03 -1.90194786e-01 -2.24003885e-02 -7.77719123e-03 -5.94919212e-02 6.19822880e-04 -1.71493456e-01 -1.37734115e-02 -3.19042094e-02 1.64426002e-03 2.34070979e-03 -9.90679604e-04 7.21028264e-05 9.62329730e-02 4.75791059e-02 2.90892343e-03 1.88318938e-01 -1.85456239e-02 2.15631481e-02 4.13990440e-03 -1.56596392e-01 -1.50952727e-01 1.37361452e-01 -4.66351248e-02 5.84716536e-03 -1.24600921e-02 1.97407976e-01 7.30327964e-02 -2.39470750e-02 -1.92040056e-02 -2.99277144e-05 4.11805790e-03 1.99183941e-01 -7.75667233e-03 -7.94853922e-03 -1.16866138e-02 -4.28990945e-02 -4.41676788e-02 -5.57826571e-02 9.01716575e-02 1.12713493e-01 -1.47795798e-02 -4.48990753e-03 2.02311262e-01 1.17569789e-02 -1.45916063e-02 -1.95858944e-02 -5.54213226e-02 4.27982062e-02 -1.48343807e-03 4.00487110e-02 2.51563545e-02 6.70620874e-02 7.77926669e-02 -9.77435894e-03 2.15166941e-01 -4.08974895e-03 1.14518509e-03 3.13382186e-02 4.30491660e-03 -2.12005377e-02 -2.23762974e-01 2.27965377e-02 -3.49621065e-02 -5.96509175e-03] [-0.02398093 0.00954294 -0.06989472 0.04522033 -0.01407057 0.11857975 0.11127266 0.14189768 -0.00064024 -0.00562639 -0.16906503 -0.00337176 -0.00411284 0.16619688 0.12654725 -0.11337774 -0.01104091 -0.00963059 0.03910936 -0.07010961 -0.10367036 0.12182359 -0.04164144 -0.14798912 0.00552937 0.00706681 0.12117735 -0.01488919 0.00092395 -0.02305079 -0.14224878 0.1338828 -0.01116208 -0.01289141 -0.0414868 0.01064091 -0.00417886 -0.1355701 -0.00186876 -0.07822003 0.00314953 -0.00769919 -0.00727827 -0.00222343 0.05644362 0.16828261 0.14378743 -0.00539004 -0.00216783 0.01578668 0.00573164 0.00712667 -0.01695914 0.00109003 -0.00832032 0.00786814 -0.05127152 -0.01415277 -0.00367082 -0.0158314 0.01630768 0.06648394 0.1748303 -0.00401891 -0.12160654 0.20956391 -0.01225419 0.01795949 -0.0040779 0.08813034 0.00453446 -0.19340119 0.00376916 0.00235123 0.00214906 -0.00218973 0.22228517 -0.13093644 0.00447301 -0.03469176 -0.01996147 0.06478304 0.00783923 -0.09111207 -0.11678568 0.1810501 0.11976445 0.00352591 -0.01322758 -0.09980456 0.18733871 0.2179243 -0.01685003 0.00363403 0.00462011 -0.00096695 0.03769002 0.03910398 -0.00915641 -0.07461138 -0.06644922 0.1904673 0.15756017 0.00204719 -0.01377746 -0.00765312 0.21371764 -0.00126671 -0.01474332 -0.10449346 -0.12055309 -0.14867309 -0.00899537 0.06637221 0.01541554 -0.04091074 0.21447581 -0.01410072 0.07326329 -0.01562581 0.00213435 0.14890684 -0.00296966 -0.05489096 -0.18948776 -0.01507012 0.08066121 0.0002701 ] Cos Similarity tf.Tensor(0.36723018, shape=(), dtype=float32) (128,) (128,) [ 0.18619466 -0.17279162 0.0661689 -0.08374031 -0.0283729 -0.11827079 -0.14705203 -0.170342 0.00120597 -0.00507158 0.0779191 -0.0067495 0.01383898 -0.06413611 -0.12699696 -0.08342785 0.00174045 0.13805018 -0.15969954 0.13924539 0.05482987 0.12696646 -0.13517162 -0.05370666 0.00969929 0.01459143 -0.00451773 0.0139059 0.04308705 0.11158587 0.11934362 0.17224844 -0.01262398 0.00659473 0.06711338 -0.00975649 -0.00061411 0.08818861 -0.01593662 0.05043992 -0.16499445 -0.01221116 0.00357455 0.00222959 -0.19147472 0.16324148 -0.13742168 0.01391024 0.01586469 0.00357598 0.00359781 -0.00514245 -0.00622465 0.00817152 -0.0153751 -0.00709344 -0.18179715 -0.01084042 0.01542183 -0.00110229 0.0132241 0.03400937 -0.20386665 -0.00037041 0.08909033 -0.07768106 -0.00333632 -0.08165099 -0.01172605 0.20428364 -0.18390866 -0.04924687 -0.00350283 -0.00076605 0.00661826 0.01853248 0.18612662 0.06881747 -0.00519456 -0.09107746 0.01256523 0.00114814 0.01490672 -0.14995657 0.12181316 -0.01190257 0.18691586 0.00801148 0.00634209 -0.17806041 0.09740771 -0.02566944 0.00458224 0.01174064 0.01151681 0.16835214 0.0605133 -0.04334972 -0.00143712 0.08017302 -0.01598553 -0.13430953 0.07411758 0.13200437 0.00144327 0.00572666 0.14280395 0.01226911 0.01097634 0.05631374 -0.08905184 0.18492593 -0.00615463 0.07407043 -0.07626136 -0.13867249 -0.0575811 -0.02155099 0.03407008 0.01172769 -0.00451529 -0.06167775 0.03015854 -0.01049795 -0.07830264 0.06231509 -0.00174425 -0.00672974] [ 1.36029169e-01 -1.90829232e-01 1.08159102e-01 -1.56526014e-01 -1.52044864e-02 -1.36081800e-01 -1.54909119e-01 -1.51345404e-02 6.40919944e-03 -2.40095615e-04 1.34620100e-01 -5.51150925e-03 7.75539828e-03 -1.29368277e-02 -7.29713216e-02 -4.04675379e-02 -1.29782176e-02 8.80026296e-02 1.20144933e-01 1.66402861e-01 1.44448891e-01 1.71648175e-01 -1.81101695e-01 7.71636814e-02 4.49816836e-03 7.49399792e-03 1.31313249e-01 1.01640243e-02 -1.13213785e-01 -2.14513438e-03 -3.98315117e-02 1.51768923e-01 9.44936555e-03 -3.74249020e-03 -1.34786889e-01 -1.75941680e-02 -1.08685764e-02 1.36599004e-01 -1.84884621e-03 1.62754804e-02 -1.50369331e-01 -4.09570785e-04 7.01801665e-03 -1.76280586e-03 -1.66353673e-01 1.42260209e-01 -1.20637402e-01 8.62760935e-03 8.40764306e-03 3.18937958e-03 3.78904794e-03 -2.04787846e-03 -1.58961229e-02 1.18087477e-03 -8.62663519e-03 -9.34307184e-03 -1.29401147e-01 -4.78543621e-03 4.09017317e-03 4.14560875e-03 -5.04771061e-02 1.24905653e-01 -1.81197613e-01 -8.43195338e-03 1.46238044e-01 -7.91248903e-02 -4.67420882e-03 -1.43138081e-01 -3.95029970e-03 1.39821395e-01 -1.28806815e-01 -1.13850698e-01 1.41854951e-04 -1.36891482e-02 9.23157018e-03 1.22626238e-02 1.39409527e-01 2.07817531e-03 -4.61810647e-04 5.95744932e-03 7.00227264e-03 1.09304476e-03 7.20607443e-03 -1.36362135e-01 1.05363585e-01 1.17772035e-01 1.71979472e-01 7.79542280e-03 7.25194579e-03 -2.05056393e-03 5.43271117e-02 1.42488122e-01 3.15261306e-03 -6.28586509e-04 4.42638993e-03 1.23679750e-01 8.58232379e-02 -1.37699842e-01 -9.75191407e-03 -4.05730233e-02 -6.14119358e-02 -1.13053992e-01 1.53040171e-01 1.99566483e-02 6.90558041e-03 5.08647319e-03 1.93086430e-01 1.91312879e-02 -9.09895636e-04 6.09351695e-02 7.02532753e-02 1.81720868e-01 -1.09227775e-02 1.36177391e-01 6.70008687e-03 7.05026761e-02 -6.99346885e-02 -6.89269928e-03 -1.97800249e-02 -1.12824021e-02 1.63110928e-03 -1.36319458e-01 4.91403881e-03 -2.87855398e-02 -1.68539584e-01 3.74960005e-02 -1.49577123e-03 4.82134492e-04] Cos Similarity tf.Tensor(0.7179742, shape=(), dtype=float32) (128,) (128,) [ 1.25940576e-01 -1.04586005e-01 6.48614019e-02 2.18091890e-01 -2.01810934e-02 -3.29676941e-02 1.94687814e-01 -4.88367677e-02 1.44019688e-03 -1.06707821e-03 1.53877765e-01 7.14239245e-03 1.76408086e-02 1.40175849e-01 6.85580149e-02 -8.16491619e-03 6.73299842e-03 4.27086651e-03 1.64697930e-01 2.15600878e-02 -7.04684108e-02 -7.04477876e-02 -4.64399578e-04 2.70733237e-02 -4.50120633e-03 1.15157766e-02 5.23665920e-03 1.36486534e-02 5.11005335e-02 1.89272821e-01 2.59070173e-02 2.38308171e-03 -3.84029257e-03 9.41461010e-04 -2.18805864e-01 -9.28288046e-03 -1.32768312e-02 -6.55004382e-02 -1.98002416e-03 -5.85123673e-02 -2.26428106e-01 -3.94654693e-03 6.05634786e-03 1.01581011e-02 1.41253099e-01 -1.22234851e-01 9.43586305e-02 1.89575069e-02 1.75993815e-02 -2.15573236e-03 8.33626930e-03 7.52729597e-03 -1.89333204e-02 -1.68642800e-05 -7.01910676e-03 -6.02495577e-03 1.22568943e-01 -6.97011928e-05 1.89872906e-02 -8.79282597e-03 1.27104893e-01 1.52420536e-01 -1.51111454e-01 4.88727726e-03 4.51417156e-02 1.89947337e-02 6.68268651e-03 1.39919460e-01 -1.28347473e-02 1.34324014e-01 5.34751161e-04 -1.52361505e-02 6.39990158e-03 -1.16658732e-02 -4.80095483e-03 2.01658122e-02 -8.73355716e-02 -7.20537752e-02 -4.00108146e-03 -2.58092787e-02 -2.38077156e-03 -7.81369582e-03 -7.16969313e-04 5.70023432e-02 2.91194301e-02 -4.11654003e-02 -1.63264468e-01 1.57720316e-02 -3.48378648e-03 -2.98342444e-02 2.09355816e-01 -2.13499352e-01 3.12291086e-03 1.81741640e-02 -7.98067995e-05 -3.42831016e-02 1.32802293e-01 -1.49861723e-02 -7.47542502e-03 -1.03003532e-01 9.65554044e-02 5.04677631e-02 1.82016343e-01 1.43373132e-01 1.10170655e-02 -1.51797512e-03 -4.44568172e-02 2.24733669e-02 -1.16347149e-02 1.96965173e-01 -1.50437847e-01 6.58627301e-02 -1.20041613e-02 2.04625696e-01 -1.02755232e-02 -1.60098210e-01 2.12331459e-01 -4.06930922e-03 -1.13924012e-01 -2.28265189e-02 9.51676350e-03 -9.52364951e-02 1.29364002e-02 -1.53981941e-02 -2.03531250e-01 6.48197010e-02 -4.24154656e-04 7.24145398e-03] [ 0.06893886 0.08755241 0.01957723 0.0185564 -0.00672666 0.10876778 0.21933208 -0.07521889 0.0089392 -0.00378706 0.14223777 0.00925251 0.0167208 0.00033688 -0.05455219 0.22123258 0.01731103 -0.06965629 0.07272266 0.01004348 0.0730308 -0.02928861 0.0717081 -0.04691198 0.00726387 0.01399728 -0.20463206 0.01333481 -0.19330046 0.12276548 0.10255292 0.13295364 -0.00373565 -0.00122044 -0.18687941 -0.03602599 -0.00418039 0.17858711 -0.00910362 0.00916296 -0.11141213 -0.00195632 0.00617187 0.00365776 0.19151928 -0.10051639 -0.04987918 0.01832968 0.02092878 -0.00234098 0.01006498 0.0066198 -0.02321552 -0.00685018 -0.00726699 -0.00377738 0.14138375 -0.00129752 0.01453682 -0.02127561 0.16485034 0.16536385 -0.05266249 -0.00698892 0.10690272 -0.15939537 -0.00051627 0.05091107 -0.00597513 0.03112191 -0.11704905 0.09272294 -0.00126482 0.00133147 -0.00709552 0.02094902 0.0925893 0.0675684 -0.00113734 0.07047591 -0.00059945 -0.0025177 0.00396102 0.06194188 -0.1250562 -0.07807846 0.07027448 0.01423075 -0.0012989 -0.1550873 0.10539225 -0.19935909 0.00039444 0.02734789 0.00168355 0.01552303 -0.01718341 -0.06849712 -0.00927308 -0.13812098 0.14184701 0.12721913 0.1637278 0.17796837 -0.00035599 -0.00050411 0.06675985 0.01928413 -0.01362418 0.19497807 -0.09423219 -0.13712522 -0.00825148 0.1009298 0.01421575 -0.14526358 0.14903441 -0.01687856 -0.17984356 -0.0120741 0.00893901 0.02682022 0.01628043 -0.00240452 -0.15396868 0.0532259 0.0141047 0.00205465] Cos Similarity tf.Tensor(0.5670119, shape=(), dtype=float32) (128,) (128,) [ 4.64897417e-02 -1.46521866e-01 -2.82760542e-02 -1.36667013e-01 -2.62409281e-02 -4.35076691e-02 1.56704783e-01 -1.82974339e-01 5.15832752e-03 8.12295257e-05 6.47497624e-02 9.30955226e-04 -1.11232430e-03 -5.52910008e-02 -8.37588385e-02 2.69653555e-02 3.85690387e-03 -2.87725758e-02 -2.07580805e-01 -5.11761047e-02 -7.14345127e-02 -1.75107762e-01 8.61660950e-03 -1.76628187e-01 7.76243862e-03 -1.19574892e-03 1.75271153e-01 -3.36516590e-04 2.91330796e-02 4.91172858e-02 1.15757957e-01 -6.49143830e-02 6.27370027e-04 -6.15942152e-03 6.18043207e-02 3.98811232e-03 9.33399657e-04 1.18757024e-01 -1.01812801e-03 -3.13637294e-02 -7.31312633e-02 -4.84224904e-04 -4.59016953e-03 1.06106456e-02 -2.45118160e-02 6.22772872e-02 -1.71727166e-01 5.12221269e-03 6.70842174e-03 8.96650553e-03 4.28879727e-03 1.99620938e-03 -7.43142236e-03 3.12005659e-03 -1.09193018e-02 2.91173114e-03 -1.94710642e-01 1.36901019e-03 7.14086182e-03 -1.28375283e-02 1.65944174e-01 -3.30424346e-02 -1.35123089e-01 -5.37576992e-03 1.68423831e-01 5.27514853e-02 -1.56341158e-02 -1.26275614e-01 -2.27787644e-02 1.24192767e-01 1.06848590e-02 -3.12669761e-02 2.76439427e-03 2.55669933e-03 -1.33992676e-02 9.79460590e-03 1.00348614e-01 1.99177153e-02 -9.23015119e-04 1.17980830e-01 -1.41662089e-02 -1.63847618e-02 -1.83520615e-02 -1.37579918e-01 1.99598998e-01 1.33100197e-01 1.93859190e-01 1.97432982e-03 -1.15502626e-03 1.67739764e-01 -1.68112218e-01 1.59248769e-01 3.45824868e-03 1.01949763e-03 -1.51278346e-03 1.00696467e-01 9.24032032e-02 -1.65517718e-01 -4.21845913e-03 4.74256948e-02 1.33357689e-01 1.96314916e-01 -2.01548308e-01 -2.01449886e-01 -4.27972712e-03 -3.46123299e-04 6.87876809e-03 3.00379656e-03 -7.21876649e-03 -1.24685198e-01 -1.37232095e-01 1.85825586e-01 -1.86304320e-02 4.83449595e-03 -4.97026136e-03 3.06472909e-02 5.91072254e-02 -2.02788133e-02 -4.02602144e-02 -1.99978873e-02 -4.00115183e-04 1.12908147e-01 1.36350086e-02 -5.71809476e-03 2.82834955e-02 7.70136416e-02 6.65915087e-02 -1.34998308e-02] [ 1.75732940e-01 -1.17477581e-01 -2.51869415e-03 -1.44578099e-01 -1.49676614e-02 -4.72094156e-02 8.48952755e-02 -2.77985446e-02 2.74586317e-04 4.31604334e-04 8.43863487e-02 6.61924155e-03 -1.66573841e-03 -1.23185821e-01 -9.84436870e-02 -1.21079786e-02 -6.92592701e-03 -4.82485220e-02 -2.08272278e-01 -6.37922511e-02 -1.04812957e-01 -1.81951851e-01 2.28650263e-03 -1.38006538e-01 1.89924380e-03 1.40060124e-03 1.34637132e-01 3.67298513e-03 4.27101813e-02 3.67503539e-02 1.18174665e-01 -2.34824698e-02 6.66866545e-04 -2.23785243e-03 6.31038025e-02 9.13587119e-03 5.15018357e-03 1.21091925e-01 -5.42850560e-03 -7.58576393e-02 -4.11506593e-02 2.60605710e-03 5.28415199e-03 9.86843277e-03 5.11347130e-02 7.88038075e-02 -1.76501557e-01 4.16095974e-03 4.73293848e-03 1.27765490e-02 6.14909735e-03 6.01760764e-03 -9.98175144e-03 1.81940943e-03 -1.63345989e-02 7.62981828e-04 -1.75981402e-01 2.60938628e-04 9.68092959e-03 -8.26179609e-03 1.57842025e-01 -1.02551114e-02 -1.09779343e-01 6.40385132e-03 1.87710494e-01 -2.84125451e-02 -1.24525344e-02 -1.07715324e-01 -1.39910486e-02 1.22929312e-01 5.15856519e-02 -7.51809031e-02 6.64189504e-03 -2.98299219e-05 -9.84604657e-03 1.47085842e-02 7.63056353e-02 6.38953894e-02 -5.50378254e-03 3.53255868e-02 -1.00080259e-02 -1.14329280e-02 -2.04002466e-02 -1.29330099e-01 1.93851560e-01 1.34358570e-01 2.17273548e-01 8.08985531e-03 1.77197531e-03 1.77912250e-01 -1.61064669e-01 1.38344005e-01 4.94296011e-03 6.70852046e-03 2.50754855e-03 9.24596861e-02 8.19163173e-02 -2.01287106e-01 -5.48963947e-03 3.50098275e-02 1.88052550e-01 1.90650806e-01 -2.02216521e-01 -2.02009097e-01 3.32368159e-04 -3.95942386e-03 4.31465078e-03 6.45939354e-03 -9.38341953e-03 -1.78535745e-01 -1.41008362e-01 1.71860278e-01 -1.44388406e-02 3.93697806e-02 -1.35001959e-02 9.66298729e-02 5.17258383e-02 -2.19462309e-02 -5.04052490e-02 -2.10224167e-02 -7.98834255e-04 7.53896460e-02 1.18717775e-02 -2.30286270e-04 3.59222367e-02 1.02415904e-01 2.47498471e-02 -1.28768515e-02] Cos Similarity tf.Tensor(0.9440496, shape=(), dtype=float32) (128,) (128,) [ 2.41096262e-02 -1.95162088e-01 1.72431711e-02 -1.96759447e-01 1.42983049e-02 -8.54284095e-04 -1.99571237e-01 1.19619407e-01 1.65200774e-02 -2.56119086e-03 -2.03965560e-01 -2.66609844e-02 -1.60293952e-02 9.78453979e-02 -8.94842595e-02 1.01614967e-01 1.24261761e-02 1.94687113e-01 -9.61400196e-03 -2.84431893e-02 1.97327778e-01 -7.19916541e-03 1.19319577e-02 -5.88668510e-02 1.77496728e-02 -9.02590901e-03 -1.22210532e-01 6.80727279e-03 -2.10895330e-01 1.37679979e-01 1.59663618e-01 -2.06199571e-01 -2.03789733e-02 -3.21353227e-02 -2.06058085e-01 -2.10464522e-02 -9.57187172e-03 9.32215825e-02 -2.05617137e-02 1.62434146e-01 -7.04136491e-02 -5.00792172e-03 -7.28281448e-03 -1.56989153e-02 2.36208692e-01 -5.78451529e-02 1.76466350e-02 2.62131691e-02 1.70991272e-02 -1.68354099e-03 -1.31745089e-03 2.69312900e-03 -5.96223923e-04 2.07326771e-03 -1.36081607e-03 1.27877267e-02 -1.93633586e-01 2.20263202e-04 8.43379553e-03 1.01915505e-02 -1.51602075e-01 1.95656106e-01 3.84478793e-02 -1.97366346e-03 1.60134420e-01 4.05666344e-02 3.31134978e-03 -3.77121195e-02 4.63603111e-03 6.18064702e-02 2.57480275e-02 3.97688635e-02 -4.86678584e-03 8.12373532e-04 -1.63212772e-02 1.63142681e-02 -1.74980104e-01 -1.10513158e-01 5.96739631e-03 5.48359305e-02 -5.38905337e-03 -1.74775382e-03 2.16652583e-02 3.83590832e-02 -1.95356198e-02 -1.14977255e-01 2.84607448e-02 2.57958844e-03 -1.59020163e-02 -1.91127494e-01 1.38434976e-01 -6.50306493e-02 2.19764672e-02 1.46672465e-02 4.19444731e-03 3.23564820e-02 -1.42973691e-01 5.09334132e-02 7.96695985e-03 -5.29906750e-02 1.20775454e-01 -1.90282762e-01 -7.05329999e-02 1.98314786e-02 1.26639400e-02 2.57123038e-02 4.73493859e-02 -2.11881697e-02 2.67763552e-03 -5.08723371e-02 -1.45153895e-01 1.28690153e-01 -4.46286751e-03 -4.95368056e-02 6.53324096e-05 -8.38337466e-02 -2.11841501e-02 5.63897938e-03 1.11478269e-01 3.62898922e-03 -1.21137602e-02 1.71416323e-03 1.16022229e-02 3.92375886e-03 4.89935204e-02 9.08734053e-02 -6.13284335e-02 8.46535992e-03] [ 2.13186145e-01 -9.95742753e-02 -2.73891073e-02 -4.80717309e-02 1.37060685e-02 -8.37837383e-02 5.00468956e-03 1.63938582e-01 4.37057903e-03 -9.37447418e-03 1.84674382e-01 -3.98618774e-03 -1.13597596e-02 9.90044996e-02 3.96584161e-03 8.12811330e-02 1.17652211e-03 3.34146060e-02 -1.29646927e-01 -4.52926271e-02 9.76473209e-04 5.35284244e-02 -6.50915783e-04 -8.05516988e-02 8.52366909e-03 -4.58799349e-03 -1.00144632e-01 6.39835652e-03 -4.50232327e-02 -6.79440871e-02 -2.93266326e-02 1.00145079e-01 -1.53751418e-04 -9.37936641e-03 1.77405939e-01 -6.79504126e-02 -6.21277280e-03 6.87563568e-02 4.76922886e-03 1.30248830e-01 1.23973638e-02 3.38873919e-03 6.12160191e-03 -7.78383436e-03 2.17860758e-01 2.16835029e-02 1.26349360e-01 6.63981726e-03 5.52764675e-03 -1.35200401e-03 1.47607236e-03 5.02942456e-03 4.28140629e-03 1.76036975e-03 9.00294725e-03 -8.11281207e-04 -4.47398424e-02 5.52231958e-03 4.14094888e-03 5.02359914e-03 -3.36651653e-02 1.43276215e-01 1.59609646e-01 -2.89628864e-03 -1.88877478e-01 -6.14073463e-02 -5.80402045e-03 -5.78913316e-02 2.31943512e-03 -2.06946507e-01 1.42248884e-01 6.08720817e-02 4.31160629e-03 1.58099681e-02 -2.49222806e-03 1.27489923e-03 1.23697236e-01 1.06044352e-01 7.32188253e-03 -4.12671603e-02 -5.20441588e-03 -3.79130966e-03 6.64837472e-03 -8.13433826e-02 1.75099775e-01 -1.67804539e-01 1.71818957e-01 7.73670757e-03 1.50445662e-03 5.51995374e-02 -1.05136558e-01 -1.37824893e-01 9.31384787e-03 5.10178506e-03 8.98196455e-03 1.53318360e-01 1.52069673e-01 2.37731561e-01 -5.46100608e-04 -1.14686064e-01 6.97395876e-02 2.10237756e-01 4.43292633e-02 2.17038840e-01 -1.91162783e-03 -8.18223413e-03 -2.11584240e-01 9.38715134e-03 3.12490971e-03 8.18272755e-02 -1.97201550e-01 6.91400245e-02 9.12100170e-03 -1.37061790e-01 3.82259302e-02 -8.82814899e-02 -3.75731923e-02 -6.17553573e-03 3.16796564e-02 1.17508573e-02 -7.52041396e-03 -1.80279482e-02 -1.28522245e-02 -9.10161901e-03 -3.07099316e-02 1.64826531e-02 1.38792634e-01 1.17289938e-03] Cos Similarity tf.Tensor(0.059207447, shape=(), dtype=float32) (128,) (128,) [ 0.06357214 0.09062212 0.07420494 0.12488546 -0.02624929 -0.00145269 -0.02222986 -0.17396078 -0.00611979 -0.00467084 -0.03178712 -0.00654497 0.0210885 0.13010322 0.06606463 -0.02875554 0.00726668 0.12405376 -0.08465734 -0.17156105 -0.1385906 -0.18125279 0.18780342 -0.15339911 0.00882594 0.00036875 0.17300075 0.00856871 0.03018396 -0.07990281 0.02248732 0.20380782 -0.01299939 0.00461052 -0.0248111 0.01290654 -0.01566378 -0.1878949 -0.00559151 -0.01810778 0.12840079 0.00167165 -0.00872234 0.00093163 0.02833613 -0.19621049 0.11334081 0.00265938 0.0166227 0.00978231 0.00295393 0.00336063 -0.01522227 0.00807605 -0.00557411 -0.00296698 0.09455457 0.00744116 -0.00477058 0.00028043 0.05480194 -0.05779395 -0.12217237 -0.01714513 0.01623988 -0.1792115 -0.01572356 0.14626558 -0.01734172 0.09532027 -0.18272036 0.02560193 -0.0057714 -0.0018789 -0.01199861 0.01064975 0.12264926 0.11015534 -0.00216126 -0.08450485 -0.00790028 0.01031551 -0.00032282 -0.0817365 0.18128029 0.05424491 -0.11774534 0.00164621 0.00238659 0.19881377 0.07796764 -0.19505228 0.00346954 0.00285169 0.00486676 0.10097656 -0.04311265 -0.06482573 0.00522924 -0.04239348 0.19315203 0.0076397 0.18941228 -0.10183676 -0.00171136 -0.01093428 0.20566697 0.01701048 0.00510224 -0.16405436 0.17747414 -0.04653006 -0.00099618 -0.02717957 -0.033659 0.01411716 -0.0320503 -0.00065358 -0.1670955 -0.01105751 -0.00265422 -0.14853923 0.0032093 -0.00160128 -0.02182435 0.02479498 0.02584039 -0.0004877 ] [-0.00909313 0.05296658 0.13982055 0.0901822 -0.02904672 0.01933174 -0.18792577 -0.20160821 0.00208045 -0.02422025 -0.01835168 -0.02095533 0.00394967 -0.18094361 -0.04448317 0.03332163 -0.00358808 0.13784127 0.10037947 -0.21563587 0.1935177 0.02965344 0.14914148 -0.00236272 0.0031809 -0.00374671 -0.09431432 -0.02280453 0.05027738 0.06411944 0.08339267 -0.02814428 -0.01289973 -0.04913618 -0.19084881 -0.02863526 -0.01261056 -0.18756539 0.0062371 -0.03258504 -0.05405891 0.0092864 -0.01006885 0.01545996 -0.16888566 -0.03636356 0.15595593 -0.00094886 0.00916497 0.00272024 0.0077987 -0.00262604 -0.01707466 0.00369395 -0.01130992 -0.00980382 -0.02425976 0.00036392 0.00845533 -0.00310362 0.16482785 0.12129196 -0.18559854 -0.04587909 -0.14713907 -0.10454305 -0.01322977 0.02608584 -0.03706283 -0.2231376 -0.05513584 -0.14793056 0.00347543 -0.00512229 -0.02188945 0.00737605 -0.16166241 0.04506206 0.00101277 -0.03318599 -0.01140089 0.0014065 0.00249925 -0.16595627 0.09912068 -0.14949234 -0.18838921 0.00574293 -0.01123395 -0.11025605 -0.12822425 0.04839715 -0.02233939 -0.00248012 -0.01186923 0.07001752 -0.00693607 0.09615615 -0.0015493 -0.01692036 0.05684614 0.05427342 0.21835822 0.19286714 -0.01179253 0.00892465 0.17076261 0.02583786 -0.0163778 0.0349983 0.08931825 0.03453034 -0.01506861 -0.0665291 -0.0252211 -0.04383597 0.02764559 -0.00299188 -0.1244362 -0.0088764 0.0026085 -0.15756114 0.0173249 0.01641965 -0.13393123 0.04273227 -0.00575651 -0.00552701] Cos Similarity tf.Tensor(0.2610087, shape=(), dtype=float32) (128,) (128,) [-0.15410785 0.03653782 -0.00302375 -0.14183858 -0.00191957 -0.16635557 -0.03956044 0.14435352 0.00111063 -0.00240494 0.17699488 -0.00177841 0.00882462 0.1089172 0.11584235 -0.12182885 -0.00235729 0.17929874 -0.08631863 0.10909457 0.08343965 -0.09522352 -0.04480935 0.03599277 0.00235482 -0.00140366 0.09250592 -0.0106345 0.20002551 0.0197806 -0.13312079 0.19514741 0.00930406 -0.01975129 0.12110081 -0.04319563 0.01182528 0.14075275 0.00424947 0.04529449 0.17762879 0.00087541 -0.00854611 -0.00860548 0.11412359 0.05237889 -0.03848407 -0.0225835 0.00698553 0.00900254 0.00809101 0.00102271 -0.00294877 0.00420009 0.00403045 0.011155 -0.05574516 0.01066903 -0.00831212 0.00675856 -0.10152276 0.12174568 -0.06836901 -0.00865289 0.12948604 0.12590918 -0.00679458 0.1136646 -0.00100696 -0.18443352 0.19855146 -0.10400196 0.00922483 0.00795088 0.00311365 -0.00165248 -0.15002955 0.07136992 0.00687615 -0.09538213 -0.03230054 0.0738067 -0.00862767 0.08797361 0.12844524 0.0510079 0.13515474 0.00430466 -0.01066818 0.07059152 -0.1728043 0.08386802 -0.01544541 0.01047554 0.00976631 -0.12792295 0.08800852 -0.13786975 0.00041039 0.14269225 0.17704308 -0.06304078 0.10453583 0.06058692 -0.00911884 -0.0048876 0.06493358 0.00705903 -0.00749347 -0.11176438 -0.10599571 -0.04359759 -0.0207869 0.0396216 0.10157134 -0.18713309 -0.18608966 0.00303495 0.09443938 0.00892028 0.00326546 0.08031491 0.01399333 -0.01687926 0.17812455 0.00589824 0.03703941 -0.00106222] [-0.21672907 0.0231076 -0.04862731 0.03469923 -0.00310199 0.00761549 -0.13959311 0.207548 0.00348699 -0.00226665 0.01735673 0.00322336 0.00317197 0.05059598 -0.02600013 -0.13798034 -0.00584857 0.08310603 -0.11671135 -0.09465039 0.17972206 0.00413244 -0.07947747 0.08452893 -0.01352444 0.00555237 0.16943808 -0.03217125 0.02329087 -0.07000968 -0.19058397 0.24951793 -0.00255444 -0.03380293 0.08884227 -0.01874397 0.00585553 0.13361795 -0.00417136 0.07831107 0.06889746 0.00203918 0.00116975 -0.01165797 -0.064297 0.09047528 -0.00788202 -0.02446152 -0.0019064 0.00737307 0.0050267 0.0106091 -0.00772741 0.00090722 -0.01223735 0.01075634 0.03054943 -0.0071489 -0.01798373 -0.00048197 -0.14934511 0.02622942 -0.07432705 -0.00836676 -0.05928667 0.09511522 -0.01596638 -0.05604599 -0.00735482 -0.22162047 0.08228605 0.11776076 0.00361498 0.00518834 -0.00363056 -0.01433484 -0.21106118 0.10690983 0.00126526 0.06022876 -0.024336 0.0028226 -0.01734636 0.07526422 0.13935243 -0.18253136 0.14578666 0.00195118 -0.00852802 0.1468457 -0.12703253 0.18720764 -0.03057963 0.00517916 0.00386649 0.19503857 -0.00670113 -0.12887914 -0.00603253 0.22234802 0.04861347 -0.13544503 -0.12991312 0.02140638 -0.00375835 -0.01355332 0.13367607 0.00518491 -0.01574796 -0.14350815 0.07057326 0.00914197 -0.01081597 0.08172959 0.00625766 -0.00675842 -0.22698604 0.00340893 0.04699234 -0.00204429 0.00582046 0.05787159 0.00575393 -0.0168035 0.01580017 0.00498532 0.14778312 -0.00622983] Cos Similarity tf.Tensor(0.5552652, shape=(), dtype=float32) (128,) (128,) [ 0.14016396 0.17832921 -0.04400329 -0.15396865 -0.00556511 0.09520834 0.10431302 0.15069291 0.00676777 -0.01081123 0.05693563 -0.00997394 -0.00543132 -0.00335039 -0.03543295 0.1102142 -0.00471407 0.05048431 -0.01467383 -0.16015744 0.16865584 -0.02207465 0.10789359 0.15172622 -0.02163442 0.00525391 0.04623588 -0.00125265 -0.1233762 0.08928061 -0.16273324 -0.13485417 -0.00445954 -0.03393883 0.0557069 -0.00861302 -0.00308316 -0.03532997 -0.0044375 0.11686617 0.07507121 0.00376348 0.0019259 -0.0075734 0.14918786 0.05295231 -0.11583674 0.00514149 -0.00112948 0.00874121 0.00250524 0.00222594 -0.00818345 -0.0019426 -0.00994573 0.00456362 0.13029213 -0.00091143 -0.00497777 0.00243924 0.17700274 0.17509972 0.0020029 0.00114314 -0.10325451 -0.11336557 -0.00877024 0.14026785 -0.01049051 -0.11302365 -0.15088189 -0.1286057 0.00357997 0.00847743 -0.01742857 0.0104934 -0.04256985 0.08697708 0.00289871 0.1690732 -0.00821252 0.0031557 0.00229783 0.17904785 0.0131374 -0.10065118 0.15818562 0.00673543 -0.0010373 -0.15372646 -0.18975061 0.15827887 -0.00514479 0.01416663 0.0036034 0.03426329 0.03849717 0.035094 -0.00179091 0.1686294 -0.14662954 0.03318626 -0.00637016 0.07042879 -0.03249849 -0.01973912 -0.01361299 0.01858637 -0.02086331 0.17870018 -0.19536683 -0.16157736 -0.01071342 0.17931712 0.03780813 -0.17046492 0.15166263 -0.01329383 -0.0161168 -0.0173178 -0.00604677 0.00412802 0.00646857 -0.00517673 0.13773736 -0.02998929 -0.08077446 -0.00624485] [ 1.3271731e-01 1.7109280e-02 -3.3308916e-02 -4.9255725e-02 -9.3569737e-03 -2.0090207e-02 1.7287886e-01 1.3133068e-01 2.0612894e-02 -1.0472700e-02 1.2392427e-01 -6.6381800e-03 -4.1588675e-04 1.4838768e-02 -4.2336132e-02 7.0656143e-02 -5.8587440e-03 -6.0772415e-02 -4.9275666e-02 -7.3836602e-02 1.4410418e-01 1.3086210e-01 7.1378551e-02 2.5331805e-02 -4.3749180e-02 2.4645510e-03 8.5567579e-02 -6.4580911e-03 -1.8061137e-02 -5.4084688e-02 -1.2681666e-01 -9.0773039e-02 1.9025285e-03 -1.9377977e-02 1.9802637e-01 -1.6186107e-03 4.9827239e-03 -1.6287479e-01 -8.3419466e-03 1.4916223e-01 -1.4544219e-02 2.7418879e-03 3.9004290e-03 4.8970566e-03 7.9955086e-02 7.7495173e-02 -9.5853761e-02 8.8137900e-03 -3.7149992e-05 1.9558653e-02 3.0671649e-03 2.4710826e-04 -9.6530085e-03 -2.9760592e-03 -2.6004757e-03 7.3617557e-03 1.7815980e-01 -4.0402068e-03 -3.3490567e-03 -3.9946283e-03 9.9756055e-02 2.0287369e-01 5.4340258e-02 1.0111973e-02 -1.2059568e-01 -1.2342751e-01 -1.5775873e-03 8.7909289e-02 -1.0190633e-02 2.4164720e-02 5.7999209e-02 -1.8617709e-01 3.1273696e-03 1.3737490e-02 -1.0848682e-02 1.1963194e-02 1.5842845e-01 5.2787039e-02 1.3649374e-03 2.0805061e-01 -9.5105907e-03 1.4081209e-04 -2.8298246e-03 1.9419789e-01 -1.5243831e-01 8.2716458e-02 1.7655468e-01 1.0450633e-02 4.2323550e-04 -6.4301699e-02 -2.0479243e-01 1.8910700e-01 -7.6797055e-03 1.5112990e-02 6.3086492e-03 1.0186200e-01 -1.1346348e-01 3.8234085e-02 -6.1695825e-04 1.7740767e-01 -1.6613206e-01 -8.3131120e-03 1.2554988e-01 -3.4023717e-02 -3.3094354e-02 -1.7114798e-02 -1.4444651e-01 1.6075335e-02 -1.4461456e-02 1.8058422e-01 -1.9502985e-01 -1.8715625e-01 -1.3717874e-02 1.2087960e-01 4.3961447e-02 -1.7773001e-01 -1.9009367e-02 -2.3733649e-02 5.0099999e-02 -1.5403926e-02 -4.0481156e-03 2.4475818e-02 8.8374680e-03 -1.4777537e-02 3.7099475e-03 -6.8358943e-02 -5.4988496e-02 -5.5399146e-03] Cos Similarity tf.Tensor(0.72889423, shape=(), dtype=float32) (128,) (128,) [-4.78378534e-02 -2.92944927e-02 5.73115014e-02 -3.34639698e-02 -7.94482511e-03 8.03962722e-02 1.20890200e-01 1.56396162e-02 2.70573451e-04 -2.71389168e-03 2.02450231e-01 2.60613691e-02 1.38899814e-02 -1.25384554e-01 1.07624255e-01 2.22321004e-01 1.34845562e-02 -1.32879436e-01 -6.82452098e-02 1.20357841e-01 1.19926162e-01 1.85697734e-01 -8.10721740e-02 2.08602488e-01 -8.48353084e-05 1.89541616e-02 -1.03234470e-01 -3.33381095e-03 2.21401006e-02 -3.67834908e-03 1.35527989e-02 7.98365287e-03 1.76936276e-02 1.60465855e-02 7.16316253e-02 -4.64180158e-03 -4.24093334e-03 1.60763979e-01 8.02629068e-03 1.54384196e-01 -2.20356688e-01 -3.73911206e-03 -4.12295712e-03 1.33834658e-02 -8.54355916e-02 -1.16623037e-01 -1.69432133e-01 -3.78020038e-03 2.83248071e-02 -3.89442360e-03 3.88874626e-03 -1.78354932e-03 1.12818247e-02 1.49031384e-02 1.72265526e-02 1.26096671e-02 -1.58069476e-01 -4.45006089e-03 -3.77593242e-04 5.64938877e-03 2.35434651e-01 7.99508169e-02 -6.02762811e-02 1.34734251e-02 -1.26826793e-01 2.23051012e-01 1.52981980e-02 1.56217217e-01 -5.98490238e-03 -1.58029661e-01 -1.43811256e-02 -8.72168243e-02 -3.09887319e-03 5.97275421e-03 -5.18603344e-03 2.72810981e-02 2.56521106e-02 1.57434568e-01 8.41584615e-03 -1.16127186e-01 -8.34769104e-03 -6.94683269e-02 -1.09740188e-02 1.86555862e-01 -4.20321040e-02 9.95257217e-03 6.75901100e-02 7.32273329e-03 3.96456942e-03 -9.82286558e-02 -2.19507799e-01 8.72874982e-04 1.16711846e-02 1.70427021e-02 -9.60427057e-03 3.39175761e-02 -3.05013563e-02 -1.05654366e-01 -4.27364511e-03 -1.87882528e-01 -3.29459645e-02 -1.66436136e-01 5.70252631e-03 -2.55407710e-02 -2.40367427e-02 -6.96799194e-04 1.07149400e-01 3.64319719e-02 -1.09368060e-02 1.24568976e-01 -7.02512786e-02 1.07165590e-01 -2.82577914e-03 5.27005224e-03 5.40700480e-02 -5.01212478e-02 -5.19787259e-02 5.42065501e-03 -1.48171291e-01 1.19149704e-02 -1.13917058e-02 1.51466385e-01 3.45498547e-02 7.59416143e-05 -1.08402252e-01 -1.17774308e-02 2.81161666e-02 -7.25989323e-03] [-1.41492754e-01 1.03387507e-02 9.25798640e-02 4.87586148e-02 -2.27235816e-02 8.35272595e-02 7.75956810e-02 -1.95949927e-01 3.81876458e-03 2.01017087e-04 5.51377721e-02 1.29603418e-02 1.56532526e-02 -8.53380188e-02 6.48453161e-02 1.89670980e-01 1.13279270e-02 -4.03311811e-02 -1.14718929e-01 1.30557558e-02 1.88777801e-02 2.24258110e-01 -1.77603632e-01 1.92933455e-01 2.39436064e-04 8.22584797e-03 2.85366327e-02 -1.14343343e-02 2.00316578e-01 -1.36169031e-01 1.79769576e-01 1.21824473e-01 1.25354994e-02 8.62226915e-03 3.02546145e-03 -2.03120857e-02 -1.95756648e-02 8.56212080e-02 1.30343819e-02 -5.32308854e-02 -1.99172378e-01 -5.63789671e-03 2.76818499e-03 1.05882920e-02 -6.72776848e-02 2.97222137e-02 -1.44393891e-01 -1.14527838e-02 2.03505978e-02 -2.98797921e-03 2.83823675e-03 -1.38822815e-03 -4.68134135e-03 1.19767673e-02 3.04862461e-03 4.58929734e-03 -1.39330551e-01 -1.66062731e-02 5.85306389e-03 2.69181654e-03 2.00488314e-01 1.20987725e-02 4.29534689e-02 4.10496024e-03 -5.18659353e-02 1.53374717e-01 1.43456738e-03 -1.65992633e-01 -1.07520781e-02 -1.36162832e-01 -8.88766646e-02 1.55012190e-01 3.15250014e-03 -3.98762152e-03 -6.20626006e-03 2.27045715e-02 -6.68090954e-02 3.58327441e-02 -1.87593407e-03 -6.93343580e-02 -1.86628022e-03 -1.05660856e-01 -2.89402269e-02 1.64623886e-01 -6.71731830e-02 -1.92047060e-01 4.12534876e-03 7.81778153e-03 -1.28065032e-04 -1.61641046e-01 -1.19293883e-01 -9.24962312e-02 1.76256674e-03 1.80945974e-02 -1.31530333e-02 1.46952122e-01 1.41954288e-01 -8.96606669e-02 -1.47612477e-02 -8.43269974e-02 1.90038455e-03 -5.33013791e-02 1.21876530e-01 2.70849541e-02 2.45556212e-03 -1.06094535e-02 6.95152730e-02 2.96289679e-02 6.07864978e-03 1.79202016e-02 -1.49653941e-01 -1.01063818e-01 -1.72243807e-02 -2.11896431e-02 9.97867510e-02 1.74037352e-01 -1.60102278e-01 -4.12835879e-03 -1.96005300e-01 -1.35437232e-02 4.51497640e-03 -4.90272567e-02 2.79336441e-02 -1.03801042e-02 -1.01628676e-01 3.57222818e-02 6.61557093e-02 -1.51807619e-02] Cos Similarity tf.Tensor(0.5636816, shape=(), dtype=float32) (128,) (128,) [ 6.51369570e-03 -1.18411258e-01 1.00779962e-02 -1.00292444e-01 1.08757634e-02 -1.59026191e-01 1.85135782e-01 1.36244535e-01 1.32373301e-02 3.79180210e-03 -1.38438925e-01 8.72473320e-05 -1.00659681e-02 -1.64437760e-02 7.57613182e-02 1.93228751e-01 1.89071958e-04 1.14267990e-02 1.06188402e-01 1.17731489e-01 -8.91210288e-02 -1.55093044e-01 6.04348630e-02 1.50206899e-02 3.11955865e-02 -1.63983402e-03 -8.69080424e-02 -3.96540971e-04 2.34253421e-01 6.27889708e-02 -1.87612250e-02 -2.84814779e-02 5.08832186e-03 -1.22937895e-02 -1.16426609e-01 6.54577697e-03 -2.44464423e-03 -1.40211537e-01 -4.24690917e-03 1.49502695e-01 1.62651643e-01 9.00644716e-03 7.17002107e-03 -1.35516813e-02 -1.27479509e-01 7.22527280e-02 9.27078500e-02 -9.40774661e-03 1.34489930e-03 6.36468828e-03 1.59706064e-02 8.18265136e-03 2.59993486e-02 1.22687360e-02 2.27689762e-02 6.43962016e-03 1.40223622e-01 -1.00845331e-02 -1.29980687e-02 2.23283935e-02 5.31467944e-02 7.69133940e-02 -5.65032549e-02 -1.08952727e-02 5.10241091e-02 -1.95703670e-01 4.82441159e-03 4.36975993e-02 1.42127527e-02 1.23389497e-01 1.25658542e-01 -1.92767337e-01 2.59486977e-02 -4.02068114e-03 1.69588365e-02 -1.02019580e-02 3.41693573e-02 -3.31671946e-02 4.67461441e-03 1.07138101e-02 -3.29449982e-03 5.87115111e-03 -8.84402823e-03 -4.26004417e-02 -1.87428653e-01 1.20825537e-01 1.02107026e-01 1.33335572e-02 -1.01668434e-02 4.79905978e-02 -1.04041077e-01 -1.73640162e-01 4.43976466e-03 2.64475751e-03 -4.04512808e-02 -1.87352121e-01 -1.39638737e-01 2.33221695e-01 3.09658656e-03 -1.06483780e-01 -2.14606285e-01 -1.94586724e-01 2.15433806e-01 -1.26264356e-02 -1.21851303e-02 -4.64674504e-03 8.70812535e-02 2.06498224e-02 2.43585417e-03 -1.71834826e-02 -1.15023553e-01 5.28882556e-02 -5.11168363e-03 -7.46373460e-02 6.42516688e-02 3.89772914e-02 -1.35428026e-01 3.15026450e-03 -1.06391795e-02 2.64078490e-02 2.46241298e-02 -1.02311738e-01 1.80301014e-02 -1.37399754e-03 8.58796686e-02 9.35877934e-02 -5.19104637e-02 1.08426362e-02] [-0.0627269 -0.13411853 0.00679115 -0.1185201 0.01999563 -0.07857635 0.17251687 0.10916737 0.00961582 0.00890469 -0.21423033 0.00243339 -0.00127884 -0.02641002 0.0807475 0.16205758 0.00595943 -0.03268278 0.12198122 -0.05965239 -0.07286157 -0.195788 0.07256662 -0.00765081 0.04019705 -0.00320096 -0.00428222 -0.00876516 0.22855332 0.12028512 -0.16024116 0.12124272 0.00173744 -0.00280303 0.05311777 0.00107997 0.00246716 -0.18198557 -0.00322337 0.11160915 0.11459729 0.0046108 0.00758699 -0.01224636 -0.07565425 0.11468556 0.02710123 -0.00708299 0.00227441 0.0100213 0.01623529 0.00866978 0.02716362 0.01291751 0.02559706 0.00941702 0.10970146 -0.00515536 -0.00837222 0.02787895 0.05860391 -0.12720627 0.1104087 -0.00418126 -0.04228279 -0.18316625 0.00201256 0.00583508 0.01293149 0.1011411 0.07558206 -0.14756294 0.02356112 -0.00396883 0.02347322 -0.01358948 0.06501526 0.02552468 0.00432905 -0.03411693 -0.00204895 -0.00262745 0.00585712 -0.10802451 -0.21766923 0.18081155 0.01141518 0.01657778 -0.00904247 0.16290121 -0.08525023 -0.07283907 0.00632525 -0.00347564 -0.02652506 0.01199033 -0.17194192 0.19089083 0.00298959 -0.09998323 -0.13924038 -0.18377845 0.22144647 0.03616864 -0.01556582 0.00391659 0.2006326 0.00662886 0.00856134 -0.17269789 -0.07964706 0.00341442 0.001017 -0.07192807 0.02525956 0.06811784 -0.06241371 -0.00428623 0.12071054 0.03360523 0.02676773 0.07005484 0.02108889 -0.00630718 -0.11568019 0.10225842 -0.03565807 0.00834053] Cos Similarity tf.Tensor(0.7632428, shape=(), dtype=float32) (128,) (128,) [ 1.88070148e-01 -1.59183983e-02 4.36317660e-02 1.62028193e-01 -5.78863826e-03 -9.39146653e-02 8.89212340e-02 -9.93113741e-02 -4.07974515e-03 -1.02190888e-02 -9.66160670e-02 2.21995302e-02 9.10210330e-03 1.46919981e-01 1.18023373e-01 1.12525828e-01 -7.93037843e-03 4.74558249e-02 -1.78355262e-01 -1.54196739e-01 -1.90355986e-01 1.22229598e-01 3.90121490e-02 1.17925249e-01 2.41563935e-02 1.07155675e-02 4.73148637e-02 2.46743276e-03 -1.93673640e-01 -8.31505507e-02 3.89033034e-02 1.54142871e-01 -2.60472633e-02 -1.85326207e-02 -1.55419618e-01 -2.72411089e-02 -4.76865005e-03 -1.14044370e-02 -6.08940888e-03 9.36732069e-02 -4.90558892e-02 1.09453239e-02 6.47364417e-03 -1.45357745e-02 1.11831501e-01 -1.74472868e-01 1.62870530e-02 -9.78242233e-03 -1.83761600e-04 -1.90584338e-03 -4.44461984e-05 6.92049367e-03 -1.00674322e-02 7.87925161e-03 8.74531362e-03 1.29723381e-02 -9.63543504e-02 1.05581377e-02 -8.21736758e-04 1.03747973e-03 -5.15557118e-02 -1.34268627e-01 8.52683634e-02 -1.10565452e-03 5.50390109e-02 5.93174919e-02 -1.74258985e-02 4.86084186e-02 -2.43510446e-03 -1.15728974e-01 1.55707240e-01 -1.10204525e-01 9.10656340e-03 -6.25999691e-03 -1.49600562e-02 -3.88518278e-03 9.07819197e-02 1.42424479e-01 8.40559509e-03 8.12370256e-02 -4.64402046e-03 -2.64790505e-02 -2.80055148e-03 3.93084176e-02 1.56669632e-01 1.89720079e-01 1.20867446e-01 6.78836461e-03 -4.70177876e-03 -1.30833566e-01 -7.11970627e-02 1.99669376e-01 -1.18834740e-02 1.50629412e-02 3.21621797e-03 1.05752751e-01 -5.15500009e-02 2.32832246e-02 -1.18602812e-03 -7.95083717e-02 6.70149643e-03 1.61473423e-01 -1.56523213e-01 -1.68693259e-01 -1.31706353e-02 1.05019603e-02 -3.89925353e-02 2.47522304e-03 4.00389079e-03 1.30637661e-01 -1.96536630e-01 -7.14901984e-02 -3.43354233e-03 1.28524408e-01 -7.07544340e-03 -1.52909875e-01 1.31962046e-01 7.09825102e-03 -1.35465592e-01 -1.48724066e-02 5.12954313e-03 -1.77825555e-01 -1.71136726e-02 7.67403096e-03 -1.73702121e-01 1.90365091e-02 4.89889644e-03 -1.15119515e-03] [-2.0443402e-02 -9.0200596e-02 4.3032810e-02 1.8821745e-01 6.8869856e-03 -7.4426264e-02 8.1249148e-02 -5.0412878e-02 1.1910475e-02 4.7806841e-03 -1.0136071e-01 1.7022492e-02 -3.8656157e-03 1.0099530e-01 1.2702839e-01 6.9350079e-02 -4.7284332e-03 2.6253151e-02 -1.7881282e-01 1.3236916e-02 -1.5535103e-01 1.9078419e-01 1.2980576e-01 6.6757306e-02 2.2110306e-02 2.2946907e-02 1.5257324e-01 -1.8961130e-02 -1.0916621e-01 2.5864514e-02 1.8702619e-01 1.2070972e-01 -1.4574664e-02 -9.6080732e-03 -1.8563017e-01 -2.0116284e-02 -5.0051897e-03 1.2285942e-01 1.8279972e-02 9.5641516e-02 -1.0044579e-01 1.1776879e-02 -4.3023163e-03 -1.0776502e-02 5.8305774e-02 -1.2760127e-01 -7.4342877e-02 -1.1944355e-02 3.4990959e-04 -1.4291561e-02 -3.6379369e-03 7.8972187e-03 -9.5590185e-03 9.6571036e-03 6.0338052e-03 1.4484974e-02 1.1986089e-02 7.2746063e-03 -6.5342570e-03 1.2360571e-03 7.5527698e-02 3.3409964e-02 -1.1253927e-01 1.1002175e-02 -5.0809160e-03 4.5955321e-03 -4.9302718e-03 6.5822825e-02 -4.8800781e-03 -1.4248994e-01 1.7130506e-01 -1.7679486e-01 7.1260226e-03 -1.5496395e-02 7.3591000e-05 -1.6711216e-02 -1.4458293e-01 2.6642796e-02 6.7737135e-03 1.5964915e-01 -4.4341916e-03 -7.8294752e-03 -2.0139217e-02 -1.2905552e-02 1.8803363e-01 1.8409544e-01 1.8484849e-01 1.0926803e-02 -3.0415482e-05 -9.9589854e-02 -1.9205335e-01 1.5468003e-01 -8.3901156e-03 1.6266275e-02 5.3793850e-04 1.9478582e-01 -4.1045416e-02 7.9498112e-02 5.1381667e-03 -6.9778509e-02 1.3036737e-01 1.2768930e-01 -1.4572807e-01 -1.7305186e-01 -9.6287653e-03 -8.1962516e-04 -7.8125715e-02 -4.4397527e-04 2.0744768e-04 3.6018486e-03 -1.6522735e-01 5.2962257e-03 -9.2779463e-03 9.9297062e-02 -5.4698259e-02 -2.3865230e-02 1.9217476e-01 7.9548545e-03 -5.4170298e-03 -1.0122651e-02 4.9623302e-03 -1.2710895e-01 -1.2652092e-02 -8.3245542e-03 -1.8878359e-01 4.1820188e-03 1.2213061e-02 1.1909433e-03] Cos Similarity tf.Tensor(0.7508915, shape=(), dtype=float32) (128,) (128,) [ 0.1500313 0.0348298 0.0550454 -0.08886233 0.01039206 -0.00444043 -0.07518054 0.04586469 -0.01934214 0.01863734 -0.08179095 0.03420616 -0.01148144 -0.0196464 0.03477456 0.0713816 0.02512558 0.12847185 0.14416763 0.01635048 -0.15042987 0.07499331 -0.00047231 -0.12660311 0.03395366 0.02861403 -0.13749553 0.03925086 -0.21453221 0.13164185 -0.16152649 -0.14337583 0.01791072 0.04524286 0.1448383 0.03050102 0.03332958 -0.01302021 -0.04581635 0.12131739 0.15353526 0.02223433 -0.0026656 0.0031953 0.1280074 -0.13750179 -0.10078594 0.03232776 0.00893148 0.02453143 0.01149144 0.00550099 0.0471229 0.0124643 0.03900107 0.00202117 -0.17851117 0.02437323 0.02627868 0.01362597 0.05012527 0.11672655 0.03819241 0.04357211 -0.10177703 0.15702814 0.01909759 0.03715272 0.02635577 0.05971752 0.16705278 0.13361621 -0.01931308 0.05673511 0.01761319 0.01011044 0.17487402 0.09921984 -0.0103429 -0.13211215 0.01620049 -0.00429825 0.01193434 0.11942011 -0.10597834 -0.16891459 0.08431891 0.02439438 0.02179417 0.11105085 0.1380055 -0.13567898 0.02519026 0.03282991 0.02235879 -0.14977494 0.06464358 -0.151598 0.01407694 0.05883483 0.13954867 -0.0669911 0.12135363 0.15637888 0.00971554 0.04357288 0.15260611 0.02884701 0.03015612 -0.15998203 0.15877627 -0.00603531 0.03838616 -0.13885576 -0.05847069 0.14994243 -0.07792716 0.01090428 -0.02111294 0.00101475 -0.01975618 0.11120881 0.0214186 0.00319723 -0.05598243 0.10934339 -0.13166755 -0.00629558] [ 0.11005659 -0.0395203 0.06763621 0.05809981 -0.00429888 0.08744749 -0.18457273 -0.06889334 -0.00152856 0.00392493 0.10356883 0.01000814 0.01967433 0.06644902 0.02057181 -0.04877179 -0.00559516 -0.06723252 0.01379331 0.18096611 0.19198737 0.14148167 -0.1031858 0.15027125 -0.00562772 0.00445833 0.17134884 -0.00807245 -0.17869267 0.01547097 -0.02295992 -0.02226617 0.01763008 0.00914746 0.22961922 0.01982388 -0.00580784 0.0669358 0.00532266 0.02385479 0.15621243 0.00929371 -0.00948229 0.00490275 -0.0169662 -0.13096209 -0.09427593 -0.00224322 0.0081754 -0.0065706 0.00674349 0.00508707 -0.00694881 0.00600637 -0.0031138 0.00856725 0.0053249 -0.01317002 -0.0048555 -0.0085115 -0.00943476 0.08088348 -0.10134708 -0.02423321 -0.01353603 0.20252454 -0.00733848 0.18447736 -0.00478892 -0.07070013 -0.19563754 -0.19044073 -0.0049434 0.00816006 -0.00053581 -0.01431955 0.04808968 0.02375621 0.00495275 -0.03618684 0.0003316 -0.00473717 0.00464727 0.01415972 -0.00334135 -0.05335392 -0.15159065 0.01450931 0.00153548 -0.16031551 0.18015476 -0.1757109 -0.00233229 -0.00867924 -0.00348199 -0.03408744 0.0700875 -0.0979971 -0.00313478 -0.25085208 -0.09704414 -0.13386063 -0.02655875 0.09167417 -0.03637101 -0.01833688 0.1726122 0.00169787 -0.01220229 -0.17869836 0.03662268 -0.07941151 0.00725266 -0.12825793 -0.03327218 -0.04683211 0.21206649 -0.00509921 0.00306616 -0.03311274 0.00088138 0.19876534 -0.01283413 -0.0209284 -0.16388875 0.02321061 0.03222461 -0.00331132] Cos Similarity tf.Tensor(0.20585978, shape=(), dtype=float32) (128,) (128,) [ 2.3262866e-02 4.2479239e-02 -4.1163493e-02 1.6029509e-02 3.0079547e-02 -7.4226595e-03 -7.0364743e-02 -7.5486854e-02 -6.7015151e-03 3.4919074e-03 -1.4407177e-01 -2.5687527e-02 1.5572750e-02 3.7064523e-02 -5.1025804e-03 1.2856464e-01 4.3428745e-02 -4.8561540e-02 1.8877895e-01 -1.8375644e-03 9.7879671e-02 7.4712546e-03 -3.9414566e-02 1.1375206e-01 4.7180384e-02 1.6101914e-02 1.7002046e-01 9.5390473e-03 -1.4889169e-01 1.0644872e-01 -6.0671214e-02 -1.7457882e-01 -1.8135358e-02 2.2195194e-02 -1.7887788e-01 -1.9636625e-02 4.3831166e-02 1.7087813e-01 -2.6768649e-02 1.3239609e-01 -1.1505653e-01 2.3458917e-02 -3.7816681e-03 8.9190658e-03 1.9557215e-01 9.3792640e-02 1.5863493e-02 1.2311453e-02 4.0860403e-02 -1.8362220e-02 6.8709516e-05 1.0070562e-02 -5.3534012e-02 2.2766689e-02 4.9452666e-02 2.8630797e-02 -9.2407046e-03 7.8247963e-03 1.9484922e-02 2.9020289e-02 -7.2808139e-02 1.2832697e-01 -9.1149658e-02 3.2422785e-02 1.6842982e-01 -1.8199542e-01 1.8399030e-02 1.4992809e-01 6.9857528e-03 9.4573326e-02 1.3027346e-01 1.8478310e-02 -1.1282353e-02 6.3489452e-02 1.3127287e-02 2.2527775e-02 8.1568196e-02 1.7830358e-01 -5.8202110e-03 1.3268502e-01 3.7005309e-03 -1.9901011e-02 1.6027417e-02 -7.9429269e-02 1.7766115e-01 6.7206904e-02 1.6678873e-01 9.6446946e-03 5.1495004e-03 -6.5412119e-02 4.8566326e-03 -1.4742306e-01 4.2104252e-02 4.1766688e-02 2.2958675e-02 1.4201230e-02 1.8742071e-01 -1.8075326e-01 -1.7304181e-03 -7.5544477e-02 -1.8927673e-01 1.7064250e-01 1.6354255e-01 -1.5936951e-01 2.2363687e-02 6.2883407e-02 -1.8201271e-02 -1.5225178e-03 2.7816597e-02 1.3750730e-01 2.0168433e-01 3.1963285e-02 1.7953001e-02 -1.0967304e-01 -5.6328628e-02 -1.4000702e-01 -1.2771790e-02 -3.0979428e-03 1.5953650e-01 1.7952090e-02 1.7544990e-02 -3.2877538e-02 2.4938282e-02 3.6750503e-03 3.7215762e-02 4.1162498e-02 -1.6076786e-02 -1.1169726e-02] [ 5.94758382e-03 1.38896823e-01 3.04695833e-02 -1.13765754e-01 4.39068675e-03 -9.53225940e-02 1.55556768e-01 9.72271562e-02 1.02437176e-02 3.13001336e-04 -5.58619909e-02 -8.01167917e-03 7.29001826e-03 2.73122601e-02 4.27259132e-02 -1.48029447e-01 -5.53990761e-03 5.54078147e-02 1.01371676e-01 -3.18674222e-02 -1.27066761e-01 -4.68409024e-02 6.43565729e-02 1.29768372e-01 1.38484631e-02 7.14895129e-03 -5.99885918e-03 8.29282124e-03 -1.49224088e-01 5.51932827e-02 1.40904248e-01 8.95268694e-02 -3.58402287e-03 -2.79290304e-02 -1.34684697e-01 -4.64302907e-03 1.06621245e-02 1.64971590e-01 -2.94568940e-06 1.04744300e-01 -1.65606514e-01 1.29609369e-03 -1.57077028e-03 -9.90727078e-03 1.07386172e-01 7.86460564e-02 -1.12256385e-01 -4.98889061e-03 4.25688829e-03 -1.29142962e-03 1.21924898e-03 7.27526518e-03 4.37755778e-04 4.81206342e-04 -7.59599172e-03 1.17408624e-02 -1.64789304e-01 2.76779989e-03 -1.26220286e-03 -2.99506844e-03 1.50067046e-01 -1.25884786e-01 -1.30957797e-01 1.67187396e-03 6.99010938e-02 -1.17459670e-01 1.84205850e-03 1.05901167e-01 3.97887127e-03 3.43013294e-02 8.49503428e-02 3.47514674e-02 -1.91018160e-03 1.55967232e-02 2.35119043e-03 1.00780251e-02 6.45885989e-02 1.22247465e-01 -4.83635161e-03 1.64341539e-01 -1.00438921e-02 5.79225571e-06 4.83748317e-03 -1.66587457e-01 1.63886338e-01 1.30905837e-01 1.45314232e-01 1.00502856e-02 7.21044024e-04 -1.33781150e-01 1.25855744e-01 -9.58803520e-02 8.46847906e-05 1.30512258e-02 6.78702444e-03 5.75819835e-02 1.36035800e-01 -1.79479614e-01 -6.38365920e-04 1.55043170e-01 -1.74423799e-01 1.67018875e-01 1.83888927e-01 -1.17161520e-01 8.47662613e-03 1.22078718e-03 8.55726376e-02 -9.95089300e-03 6.17272104e-04 1.69671655e-01 1.78484112e-01 1.46939531e-01 5.52525837e-03 -1.60896406e-01 -2.67019458e-02 -3.20104547e-02 -1.12269692e-01 -1.10092219e-02 1.70053899e-01 1.16144503e-02 -6.64326781e-03 1.15421116e-01 5.93525008e-04 1.01872645e-02 1.02064639e-01 1.27607472e-02 3.82594056e-02 -3.63209588e-03] Cos Similarity tf.Tensor(0.5797115, shape=(), dtype=float32) (128,) (128,) [ 2.22425207e-01 1.42043516e-01 4.56222817e-02 -2.05142960e-01 -9.29154269e-03 -6.13668887e-03 4.78954092e-02 4.11106199e-02 -4.57711890e-03 -5.00528375e-03 -1.49736419e-01 -1.04900934e-02 6.52616564e-03 1.47585616e-01 7.11286366e-02 2.85990983e-02 -8.66978150e-03 1.57598749e-01 -5.76447546e-02 1.11087918e-01 9.66003090e-02 -2.33374417e-01 4.70961034e-02 -6.16709096e-03 -7.61976885e-03 2.08985363e-03 3.05817891e-02 -6.82004262e-03 1.42780066e-01 -2.61880420e-02 -1.94299668e-01 1.68998480e-01 -2.84106121e-03 3.78649216e-03 1.29573569e-01 4.26375773e-03 -1.85972720e-03 -5.83928153e-02 -2.63065845e-03 4.18084040e-02 1.28404759e-02 -8.28250684e-03 -1.13226799e-03 3.88669905e-05 5.65629564e-02 5.53720072e-02 -1.16637722e-01 1.38942227e-02 8.42399616e-03 1.96590926e-02 3.10358219e-03 3.42250359e-03 -1.31332744e-02 5.59852552e-03 -1.03898950e-04 5.73595986e-03 -1.07822865e-01 -1.61709345e-03 -4.00373200e-03 -8.85066204e-03 1.54813146e-02 3.71726826e-02 1.74163163e-01 1.32684386e-03 -1.70252830e-01 5.07238647e-03 -1.06564416e-02 -1.05195984e-01 -3.29443160e-03 3.56690027e-02 3.49619165e-02 3.32773700e-02 7.37545954e-04 3.77782364e-03 -5.50679304e-03 6.79642335e-03 1.00721732e-01 9.15545821e-02 3.35687632e-03 9.79178324e-02 -1.64895859e-02 -2.28372402e-03 4.39582486e-03 7.13661909e-02 -1.20214589e-01 1.28202010e-02 1.75950795e-01 3.98920616e-03 -3.55935656e-03 4.94842902e-02 3.76483775e-03 1.38310701e-01 5.38088195e-03 -2.32367590e-03 -1.24122214e-03 2.25376427e-01 -5.89753613e-02 -1.89524367e-01 -5.13474317e-03 -7.50048757e-02 -3.19217853e-02 9.09668356e-02 1.85953498e-01 1.25560850e-01 -2.28339676e-02 -3.28766322e-03 2.33019441e-01 4.00277600e-03 -4.30497061e-03 -2.07996279e-01 8.06192607e-02 -1.51916936e-01 7.22611044e-03 5.60354292e-02 -1.94081645e-02 1.69080719e-02 6.46940395e-02 -2.28923857e-02 -1.60115942e-01 -2.30051968e-02 2.08633230e-03 1.89331457e-01 -3.34789464e-03 -1.46669094e-02 -2.00414583e-01 1.29088629e-02 1.04003169e-01 -1.62813701e-02] [-0.11211912 -0.11189722 0.09895025 -0.14456564 -0.03528132 -0.16647094 -0.00025817 -0.17941637 0.0075305 0.00755942 0.18254109 0.01955297 0.00899723 -0.10147164 0.12827955 0.08825967 -0.01580495 0.01728906 -0.00651521 -0.08583222 -0.21259493 -0.08946337 -0.16319367 0.18195695 0.00883831 0.00118699 0.15495995 -0.00824978 -0.17385894 -0.05762256 0.09529684 0.02838549 -0.01231337 0.00436514 -0.09739593 0.01866563 0.00690603 -0.03686455 0.00279801 0.00943273 0.06358852 -0.0122689 0.0062772 0.01666394 -0.05804834 0.07782581 0.04078597 -0.0105221 0.00974757 0.00399662 0.00863602 0.00681446 0.01154779 0.00657851 -0.00550432 -0.00181717 0.04195068 -0.01725941 0.00297717 0.00188362 0.10022476 0.06567083 -0.16738373 0.00528119 -0.17130892 0.08908568 -0.00880162 -0.06536764 -0.00108879 -0.08615059 -0.01650564 -0.09623002 -0.00400328 0.01313602 -0.00458913 -0.00786487 0.14400357 -0.21278587 0.00379572 0.15285152 0.00036221 0.03935934 -0.00599643 0.05137641 0.14280403 0.09379847 0.09855822 0.0177833 -0.00368712 -0.13779269 0.06720841 0.03196532 -0.01171772 0.01257913 -0.01099925 0.20643531 0.00951947 0.00687909 -0.01307822 -0.12323175 -0.16624731 0.20687476 0.20218828 -0.00027038 0.00473939 -0.02107257 0.20698756 0.03063032 -0.0033479 0.07537963 0.03046404 0.11939902 -0.00803772 0.02006936 -0.06258642 -0.17480236 -0.16613361 0.00087243 0.07734716 0.00059819 -0.00330778 0.05819209 0.02938279 0.01299815 0.17062744 -0.02291866 -0.01045519 -0.00954407] Cos Similarity tf.Tensor(-0.0065361112, shape=(), dtype=float32) (128,) (128,) [ 1.61802158e-01 1.93905607e-01 4.71158233e-03 -3.48771214e-02 -1.62170008e-02 -4.05377708e-02 -2.85706129e-02 3.14272493e-02 8.37937184e-03 -3.46189877e-03 -2.21897453e-01 1.38325267e-03 1.91138836e-03 -2.69318409e-02 8.09701458e-02 4.09956574e-02 8.70242342e-03 -3.87673378e-02 1.00880146e-01 -4.96786386e-02 -1.25193195e-02 -1.35093972e-01 -1.42721664e-02 -2.86941300e-03 -1.13920290e-02 -5.62009122e-03 -6.06700443e-02 -6.93238433e-03 1.04380146e-01 3.23761329e-02 -7.47458935e-02 1.09030895e-01 -9.71575081e-03 1.25157973e-02 1.40430436e-01 -8.02617706e-03 3.21606663e-03 7.61220455e-02 -4.91583580e-03 1.54924735e-01 1.62716165e-01 -1.16172591e-02 -1.78720220e-04 -1.62508376e-02 3.66914123e-02 1.88495606e-01 4.45548743e-02 1.32753449e-02 1.28851430e-02 1.24874143e-02 -3.41605884e-03 3.91350221e-03 -1.23150984e-03 5.46714664e-03 1.11892466e-02 1.63466949e-02 -1.87480941e-01 1.74313653e-02 1.39348879e-02 1.52804726e-03 1.52486265e-01 -2.24021778e-01 1.85179617e-02 -1.06268544e-02 -5.58177242e-03 -1.09240577e-01 -4.90792235e-03 6.86716661e-02 1.43765693e-03 1.78624675e-01 9.06116143e-02 1.20467439e-01 7.13877555e-04 3.84068093e-03 -3.02862911e-03 1.27825625e-02 -1.44574344e-01 -1.95751395e-02 -6.86683459e-03 -1.82938144e-01 -8.40074755e-03 5.29645756e-03 2.62267352e-03 1.22471079e-01 -1.80814087e-01 1.77814424e-01 -1.52064785e-01 2.56928685e-03 -1.73551543e-03 1.87469676e-01 5.38533181e-02 -1.20735198e-01 -3.97520512e-03 5.43442182e-03 1.65674035e-02 1.47739306e-01 -2.96701733e-02 -1.35941848e-01 -8.60124547e-03 1.08517669e-01 1.66775554e-01 -1.02299377e-01 2.01986268e-01 2.14071527e-01 5.37719869e-04 1.23080274e-03 1.04994498e-01 3.72381019e-03 2.49957643e-03 -1.08851887e-01 -5.29970936e-02 -8.27846974e-02 1.34641426e-02 1.08294144e-01 2.14399174e-02 2.51612198e-02 -5.00796437e-02 -4.02162224e-03 2.05365077e-01 -9.55479406e-03 -6.72411174e-03 -6.41165748e-02 2.29138322e-02 -1.13902828e-02 -1.53699338e-01 -3.09703238e-02 -3.44201699e-02 -7.30814459e-03] [ 1.23131439e-01 4.47264500e-02 1.08011238e-01 -8.65696296e-02 -4.49315505e-03 8.43755261e-04 -1.61564812e-01 1.55220134e-02 -8.01548362e-03 -3.58723779e-03 -1.16967529e-01 4.73269355e-03 1.13664160e-03 7.81881511e-02 7.83678293e-02 9.75935813e-03 7.55073177e-03 1.58690959e-01 3.55211608e-02 4.44945581e-02 1.96586996e-02 -2.93797720e-03 -1.47229835e-01 -8.61161724e-02 -4.75053675e-03 -7.69790262e-03 1.51048735e-01 9.47480462e-03 1.47444680e-01 6.88556805e-02 -2.15283260e-01 -1.23166223e-03 -2.10543256e-02 4.27558040e-03 -1.56941608e-01 8.05598684e-03 -1.21282996e-03 -1.36257425e-01 -1.63986895e-03 3.49767171e-02 9.52451751e-02 -7.65242474e-03 -3.37270758e-05 3.19681969e-03 1.85943861e-02 1.53522387e-01 1.03872143e-01 2.21511386e-02 2.11808980e-02 2.45726220e-02 4.06393316e-03 2.13062088e-03 -1.25233913e-02 3.87631194e-03 5.42779593e-03 1.98447891e-02 -2.14149341e-01 1.52529031e-02 6.32673362e-03 -1.05228159e-03 1.90969631e-01 -2.06579894e-01 1.51619926e-01 8.15009419e-03 -1.89533427e-01 -1.63110331e-01 3.29503347e-03 9.94872022e-03 2.84193107e-03 4.50835675e-02 3.19601297e-02 -5.44998422e-03 1.19204097e-03 1.67313349e-02 -1.47447933e-03 1.06154270e-02 1.45995080e-01 3.22293267e-02 -9.87807568e-03 9.45597589e-02 -7.68810336e-04 -1.40469018e-02 1.07239587e-02 -5.54801300e-02 -1.57349184e-01 1.76044181e-01 -7.93532059e-02 -4.51040250e-04 -6.89477846e-03 1.71839297e-01 1.74682327e-02 -1.40412033e-01 -4.42286720e-03 1.38884168e-02 -1.39465858e-03 7.63750896e-02 -8.46719965e-02 -1.06197186e-01 6.02456229e-03 2.05407202e-01 1.07716480e-02 1.81525558e-01 2.14582413e-01 5.08364439e-02 4.78210067e-03 2.20488701e-02 1.86520487e-01 -2.86692637e-03 1.44195687e-02 1.46706358e-01 -1.33589074e-01 1.13855325e-01 2.11746134e-02 5.40075786e-02 5.12609966e-02 -3.35210823e-02 5.24346009e-02 -1.56399813e-02 1.15118288e-01 -1.61773467e-03 3.81699787e-03 -1.07750818e-01 1.46754719e-02 -8.68248474e-03 -1.59265652e-01 9.23727006e-02 1.02272490e-02 1.09189237e-03] Cos Similarity tf.Tensor(0.48450196, shape=(), dtype=float32) (128,) (128,) [ 9.29035842e-02 3.01163048e-02 9.80915576e-02 -2.35784352e-01 4.93339263e-03 -5.39381150e-03 2.93959435e-02 -1.58815384e-02 3.84341627e-02 -7.82772992e-03 3.61628341e-03 -4.27057603e-05 2.09016865e-03 1.68699026e-02 3.19810808e-02 -9.76632982e-02 1.31044481e-02 -3.52952257e-03 1.69547901e-01 1.84639469e-01 -1.26246110e-01 1.65003881e-01 -8.70497823e-02 5.15718386e-02 -7.75326788e-03 5.62721211e-03 -2.31729999e-01 1.41554130e-02 -4.24396880e-02 9.54826362e-03 1.48985639e-01 -1.24305241e-01 -2.63493396e-02 -9.42855701e-03 -1.16958767e-01 -3.12733389e-02 2.34319512e-02 1.43471044e-02 -3.48883234e-02 2.48315930e-02 -1.09422743e-01 2.54287384e-03 -2.56094825e-03 -9.99880210e-03 6.80275187e-02 1.87581092e-01 -1.18731014e-01 1.07372785e-02 4.34678048e-03 4.00548205e-02 -9.63006518e-04 4.72337985e-03 7.79382745e-03 8.28110147e-03 1.80268623e-02 2.34879162e-02 -1.08397469e-01 -1.41585907e-02 1.53315067e-02 1.30366832e-02 -1.60219505e-01 8.40130374e-02 2.05565408e-01 2.14379169e-02 -1.30334094e-01 3.47507782e-02 1.17208692e-03 -1.21387780e-01 1.32492818e-02 -4.08593006e-02 -1.72201648e-01 1.46274352e-02 1.10383406e-02 3.47035527e-02 -3.00476849e-02 1.99939068e-02 -8.97904579e-03 3.09423711e-02 -5.78012550e-03 1.16118416e-01 -3.56250966e-05 -6.51979679e-03 1.53035726e-02 -6.77578226e-02 1.39911681e-01 3.38409282e-02 1.39876306e-01 -4.01275145e-04 -2.49857432e-03 -2.04439797e-02 1.10636875e-01 -2.26823729e-03 2.46463697e-02 4.25625704e-02 -4.01454885e-03 -2.04361841e-01 -2.09468782e-01 1.28977805e-01 -4.75930807e-04 9.07705724e-02 1.08471312e-01 -2.06210062e-01 -1.72007486e-01 -1.71324492e-01 9.97975655e-03 -1.43328812e-02 1.84514925e-01 1.12209714e-03 -2.52301875e-03 2.04698145e-01 7.53568262e-02 -1.83282606e-02 6.80348370e-03 -3.95054044e-03 -3.01068611e-02 4.14606556e-02 1.45781204e-01 2.29786318e-02 -1.87417656e-01 1.44453989e-02 2.05266159e-02 -1.25427753e-01 -4.20738291e-03 -4.68677282e-03 -6.62445882e-03 -4.14829627e-02 -3.51109728e-02 5.26558980e-03] [-1.30930766e-01 1.06919102e-01 5.58644570e-02 -1.95037439e-01 5.19493874e-03 1.55732352e-02 7.10828900e-02 -1.14924818e-01 2.86383927e-02 -1.26366527e-03 -8.04806128e-02 -1.19539797e-02 2.05230601e-02 7.16085434e-02 -1.33420872e-02 1.25281215e-01 1.56906489e-02 -1.24868413e-03 1.97461858e-01 2.21694913e-02 -9.84237790e-02 8.86446759e-02 -1.34253755e-01 -8.75195302e-03 -2.61871163e-02 -4.95301420e-03 -1.90138489e-01 -4.86518256e-03 3.60302292e-02 -1.22869439e-01 4.57856245e-02 -4.42492366e-02 -3.38815618e-03 -1.18984382e-04 1.33904830e-01 -3.29958880e-03 2.22723596e-02 9.02471319e-02 -2.29463372e-02 1.07084356e-01 -1.77470788e-01 -1.80931240e-02 -4.49317927e-03 -1.69380754e-02 -1.34559661e-01 1.36519760e-01 -1.40169010e-01 9.34507698e-03 7.49023492e-03 1.57100316e-02 -6.02113688e-03 2.51228479e-03 -4.34526103e-03 4.36639600e-03 1.87767930e-02 -9.84038925e-05 9.50797554e-03 -6.24490343e-03 8.52389447e-03 8.34290683e-03 -1.62607834e-01 2.04775631e-01 1.86757326e-01 -4.89001255e-03 -1.44357726e-01 4.33787033e-02 1.16060544e-02 -1.03768729e-01 6.23608241e-03 3.98170315e-02 7.73024783e-02 -1.82438627e-01 -4.18315036e-03 1.26913665e-02 -2.21453123e-02 2.40586977e-02 -9.75187048e-02 -1.34101376e-01 7.77334301e-03 1.78789049e-01 -1.21980561e-02 -1.69114140e-03 5.07339789e-03 -7.72917792e-02 7.88653940e-02 7.22771138e-02 1.06272392e-01 -1.63745752e-03 -5.81350084e-03 1.41966105e-01 1.89733163e-01 1.81536585e-01 9.91426874e-03 1.19879674e-02 -2.92808446e-03 -1.98394001e-01 -3.92832644e-02 8.00025240e-02 6.13553217e-03 2.20593866e-02 7.44936541e-02 -1.82989269e-01 -1.03365794e-01 -1.47388294e-01 5.67327300e-03 1.92395579e-02 2.00647816e-01 3.31070609e-02 1.23244626e-02 2.17444147e-03 1.55206388e-02 5.28780930e-02 -2.85100588e-03 5.45930527e-02 -3.42262425e-02 1.30726814e-01 4.08168584e-02 -9.24658205e-04 -1.82366356e-01 9.70586762e-03 -1.49517637e-02 1.67267382e-01 -2.36297697e-02 -7.91716482e-03 1.11910731e-01 -5.47999255e-02 1.42686646e-02 8.72727577e-03] Cos Similarity tf.Tensor(0.5903647, shape=(), dtype=float32) (128,) (128,) [ 0.2403862 0.04038755 0.05868398 -0.17823574 -0.00511418 -0.03128519 -0.05562507 0.2013491 -0.00296414 -0.01060774 0.02067749 -0.01244454 -0.00234463 0.01759985 0.14868782 0.12239721 -0.01294756 0.20506366 0.08954012 0.08127557 -0.05542527 0.213429 -0.15724042 0.19121675 -0.01658558 0.00495594 0.00036775 -0.00882476 -0.0122237 0.0491608 -0.0925955 0.11478268 -0.01232637 -0.00199311 -0.150536 0.00030745 -0.01195258 0.08181167 -0.01042094 -0.0962189 -0.1669586 -0.00056845 0.00356076 -0.00116584 0.11673397 -0.01549012 -0.04119786 -0.00614956 -0.00066877 0.00139916 0.00514219 0.00116712 -0.02187348 0.00225959 -0.01183035 0.01122376 0.13595983 -0.00478594 0.0086295 -0.00212208 0.09753996 -0.02674046 0.11906628 0.00480795 0.18728404 -0.05109645 -0.00300264 0.03040603 -0.02133263 0.07422257 -0.12285001 0.03459527 -0.00065736 -0.00791136 -0.01740994 0.00919607 -0.09431206 0.15448697 -0.00553979 -0.21276249 -0.00146951 -0.00806213 0.00320201 0.00971787 0.03963134 0.20004737 -0.06617182 0.00734828 -0.0056663 -0.09512642 -0.14461315 0.19545843 -0.0068593 0.01076487 0.00366905 -0.17898045 -0.10938054 0.02112337 -0.0043186 0.10408295 0.11238914 -0.11720243 -0.191079 0.00163042 -0.02610739 -0.00763625 0.1179084 0.00847043 -0.01291026 -0.11902975 -0.16720104 0.09717284 -0.00863043 0.08971075 -0.1032178 0.11203576 0.13525979 -0.01551885 0.05025581 -0.0230577 0.00056486 0.06736847 0.00225568 -0.01219252 -0.03766665 0.08516321 0.00232786 -0.00082632] [ 2.32832953e-01 -1.79851502e-02 3.37905772e-02 -1.65043995e-01 -8.00079480e-03 -4.13980633e-02 -1.43594258e-02 1.98794261e-01 -3.73951625e-03 -9.41394363e-03 -7.33099282e-02 -2.55217915e-03 9.85237956e-03 1.34609919e-02 4.03327420e-02 2.01059535e-01 -2.00998224e-03 1.64664343e-01 5.29801995e-02 1.39326707e-01 -3.77797671e-02 2.11761266e-01 -1.07620075e-01 1.86773628e-01 -1.44141130e-02 8.79947934e-03 7.89015368e-03 -9.09153931e-03 4.31297496e-02 1.96779575e-02 -1.17326766e-01 1.61828190e-01 -1.81513317e-02 1.11701363e-03 -1.46876723e-01 -1.89249753e-03 -8.70861951e-03 9.69055891e-02 -2.26065964e-02 -9.90762562e-02 4.78854589e-02 3.22594191e-03 6.88744942e-03 1.56888515e-02 1.73040316e-01 -3.49097652e-03 -1.62848290e-02 -7.69542065e-04 2.22963048e-03 6.21459167e-03 2.17144773e-03 1.23741780e-03 -1.49334399e-02 6.25152141e-03 -5.46013704e-04 2.03920826e-02 1.20968074e-01 -1.01320501e-02 1.00205028e-02 -8.41970148e-04 7.10650980e-02 -4.26237024e-02 1.06065668e-01 1.13456445e-02 1.88205272e-01 -1.28715083e-01 -1.78509264e-03 1.55323625e-01 -1.28280064e-02 8.48723352e-02 -9.50455368e-02 -1.03917964e-01 5.13689779e-03 -1.35112451e-02 -1.71878785e-02 1.71324685e-02 -5.78048900e-02 1.84656486e-01 -8.26369319e-03 -2.30621606e-01 -1.25781473e-04 -9.41611733e-03 5.18708443e-03 -9.77692157e-02 -7.66943470e-02 2.31043994e-01 3.08729094e-02 1.35496138e-02 -2.50833482e-03 -7.96312392e-02 -1.36149332e-01 1.81572065e-01 -4.42986982e-03 2.68630534e-02 3.71111650e-03 -1.42814949e-01 -2.06766635e-01 3.15819494e-03 -1.06290987e-04 4.18309271e-02 5.78487329e-02 -1.10220388e-01 -5.87982647e-02 1.51890978e-01 -2.86169443e-02 -1.45239541e-02 1.36807531e-01 3.97370523e-03 -7.03457417e-03 5.11395372e-02 -1.10033862e-01 6.06109090e-02 -5.39201219e-03 6.71778396e-02 -2.27602795e-02 1.43556252e-01 9.64506119e-02 -2.27493979e-03 -2.61571687e-02 -2.70200334e-02 -7.90126738e-04 -1.38223782e-01 2.09966069e-03 -2.18775328e-02 -7.68638253e-02 6.42701387e-02 8.89709592e-03 1.92403106e-03] Cos Similarity tf.Tensor(0.8326858, shape=(), dtype=float32) (128,) (128,) [-1.21878974e-01 3.63356099e-02 5.30668087e-02 2.11562812e-01 -5.00910217e-03 -1.48513585e-01 -9.03464630e-02 -9.30465311e-02 -5.89406490e-03 1.34284305e-03 -6.19622730e-02 1.71664935e-02 2.20059250e-02 4.73864414e-02 1.04780067e-02 9.14684162e-02 1.31323384e-02 2.04718843e-01 1.64974183e-01 -7.59633183e-02 -5.30377440e-02 1.46592796e-01 8.46346542e-02 -1.34787010e-02 -1.10371849e-02 1.78261250e-02 -1.42233625e-01 1.67534500e-02 -1.25010282e-01 1.37949720e-01 1.37796625e-01 -9.43710878e-02 -1.49587737e-02 1.39083043e-02 1.98895514e-01 4.37728353e-02 8.17127340e-03 9.16205049e-02 -2.12209430e-02 9.24068131e-03 1.91156134e-01 -8.62443761e-04 6.65273285e-04 -6.90409355e-03 1.46809712e-01 -6.17491528e-02 -9.59097520e-02 -2.49212352e-03 1.31062642e-02 -7.33773597e-03 1.42098719e-03 4.51805163e-03 9.57953837e-03 2.67948862e-03 2.13745069e-02 2.64561139e-02 9.54983383e-02 -1.29196616e-02 7.69377407e-03 1.30705070e-02 -1.82833478e-01 -2.11763993e-01 1.13798894e-01 1.99303199e-02 1.07818268e-01 -1.86006166e-03 6.06388459e-03 1.54134125e-01 -3.02153546e-03 9.67474505e-02 -5.83057664e-02 -2.17095003e-01 1.53974909e-02 2.60005370e-02 -1.07373856e-02 3.37478481e-02 1.43867195e-01 8.58529657e-02 -2.88309529e-03 7.53404498e-02 -2.73120720e-02 -2.19172915e-03 5.57081681e-03 2.16650143e-01 -5.03160954e-02 -1.49813872e-02 1.23245046e-02 3.57692759e-03 1.43004674e-03 -1.56078532e-01 1.00410894e-01 -5.35883568e-02 1.96467116e-02 2.96575502e-02 2.13104170e-02 -1.86824486e-01 1.22288562e-01 -8.35526288e-02 1.32346973e-02 -2.20567230e-02 1.36136949e-01 9.24076363e-02 -1.06475279e-01 -1.00742705e-01 -3.08541721e-03 -2.98070405e-02 1.37992322e-01 1.34186412e-03 1.31055769e-02 -9.37797725e-02 -5.46965785e-02 -1.37173161e-01 1.88401167e-03 8.11695680e-03 -2.37707235e-02 1.31482407e-01 -1.40772969e-01 4.73978324e-03 -9.92322490e-02 -9.28643811e-03 -1.68352868e-04 1.58376306e-01 2.29374785e-02 -7.82658625e-03 1.02626055e-01 3.67775820e-02 -6.32070228e-02 -1.11905048e-02] [-1.05366789e-01 5.38537540e-02 7.34895021e-02 2.01703891e-01 -4.81723994e-03 1.87186152e-02 -1.17529169e-01 -8.66693184e-02 -1.27362192e-03 -3.60673061e-03 -4.03220952e-02 1.15013793e-02 1.49670281e-02 4.67168838e-02 1.40359662e-02 1.86442658e-01 1.40506662e-02 1.13004319e-01 1.68561205e-01 1.84671655e-02 4.54618856e-02 -3.06377886e-04 1.27441287e-01 -1.08923241e-02 -5.00957994e-03 1.97468251e-02 -1.33681357e-01 1.72893740e-02 -2.06836119e-01 3.72322761e-02 -8.14240798e-02 -1.44922197e-01 -1.17294267e-02 1.98132489e-02 7.31478557e-02 4.58054394e-02 9.89527442e-04 1.30019858e-01 -2.02043615e-02 6.77280277e-02 2.10055098e-01 -5.23161050e-03 -3.68740479e-03 -2.47475039e-03 1.86145291e-01 1.00203939e-01 9.36795324e-02 2.98028695e-03 1.51378466e-02 -8.48534610e-03 1.88638293e-03 4.70559206e-03 1.09136384e-02 2.96590361e-03 2.19998416e-02 2.66674608e-02 8.19172338e-02 -1.06022060e-02 3.99554614e-03 1.00616720e-02 -1.87517062e-01 -1.88168719e-01 4.49782610e-02 1.78309195e-02 1.17101394e-01 -1.32409364e-01 9.70946904e-03 2.03190267e-01 3.77665111e-03 1.20946914e-01 5.65498248e-02 -1.97994724e-01 1.84261203e-02 2.62918863e-02 -4.43458511e-03 3.28977443e-02 1.65858448e-01 -6.21821284e-02 -4.36265999e-03 5.02278656e-02 -2.64206920e-02 6.79429431e-05 7.91555084e-03 2.10517734e-01 -4.18655165e-02 -3.80581319e-02 -1.37163237e-01 3.99627630e-03 1.93538878e-03 -3.08136120e-02 1.00084655e-01 -1.28460333e-01 1.32435421e-02 3.02322302e-02 1.07608223e-02 -1.77331477e-01 9.69342664e-02 -8.04637372e-02 2.02489756e-02 -9.37924311e-02 1.23108022e-01 4.62491848e-02 1.12888046e-01 -1.38470784e-01 -5.07311057e-03 -2.51741055e-02 1.30830571e-01 6.61027664e-03 5.58356056e-03 -6.90940693e-02 -2.87696477e-02 -1.56205088e-01 -9.94882139e-05 -4.56715841e-03 -3.46029922e-02 1.44822761e-01 -1.16514854e-01 5.08674327e-03 -1.52378693e-01 -1.92447547e-02 8.53509817e-04 1.71469405e-01 2.19584275e-02 -5.04985359e-03 1.13229677e-01 1.64768286e-02 -4.47344109e-02 -6.03061169e-03] Cos Similarity tf.Tensor(0.79304326, shape=(), dtype=float32) (128,) (128,) [-1.04345366e-01 6.59304187e-02 -7.27880374e-02 1.47775961e-02 -1.13139572e-02 -1.56038254e-01 -7.39336610e-02 1.06109962e-01 -4.18703025e-03 -3.60414828e-03 -1.84818611e-01 1.98507588e-03 2.64091371e-03 -1.47933275e-01 -4.56202077e-03 1.03933014e-01 -8.55541043e-03 -2.20901787e-01 1.67337924e-01 -7.07350001e-02 2.03494847e-01 9.60233435e-02 4.97679189e-02 2.71715485e-02 -1.27702057e-02 1.03549529e-02 6.30987361e-02 -3.87667604e-02 1.26838133e-01 1.50756583e-01 3.66387591e-02 2.67055426e-02 5.32701937e-03 -1.53349349e-02 1.75406441e-01 -9.84045677e-03 2.60010548e-03 -2.29062229e-01 7.11268699e-03 -1.27421886e-01 2.08068311e-01 1.37634100e-02 5.80250565e-03 -1.67567935e-02 8.30228850e-02 -9.91135091e-02 -1.06108159e-01 -6.81029679e-03 -2.44282233e-03 3.79859121e-03 9.95090604e-03 6.45571947e-03 -1.15458015e-02 8.20858218e-03 -1.30603053e-02 1.52731584e-02 -9.06330124e-02 1.34939905e-02 -1.34096397e-02 4.59632371e-03 -9.43948049e-03 7.65001252e-02 -2.13399187e-01 -5.59279043e-03 1.72037676e-01 8.90693590e-02 -6.52698148e-03 3.02299624e-03 -8.68446878e-05 -7.23644048e-02 1.08038969e-01 1.16843358e-01 9.98055749e-03 1.74130674e-03 1.01010641e-03 -7.37421494e-03 -1.97906926e-01 -3.47090550e-02 -8.94868048e-04 9.24788564e-02 -2.47847568e-02 -1.30813107e-01 -1.38582671e-02 1.26711443e-01 -6.45914488e-03 -5.82713671e-02 5.97429909e-02 1.31229550e-04 3.31306685e-04 -1.22430576e-02 1.45661399e-01 8.62250924e-02 -1.13794943e-02 5.50504494e-03 -6.20547449e-04 -7.12323040e-02 1.70651615e-01 -6.59251958e-02 -1.34497406e-02 -7.70098418e-02 1.82367653e-01 6.42847121e-02 -7.81484023e-02 -7.09152222e-02 -1.45837022e-02 3.09974945e-04 1.23442158e-01 -4.74832905e-03 -2.88833287e-02 -1.37743682e-01 -7.05490913e-03 -1.32271603e-01 -8.23789928e-03 1.01576045e-01 1.69758461e-02 -2.39103556e-01 1.69407517e-01 6.03725156e-03 1.37360081e-01 -2.03414238e-03 1.89040811e-03 -6.49423823e-02 1.93031728e-02 -2.08745673e-02 4.23469655e-02 1.00222593e-02 1.96607336e-02 -1.64973680e-02] [-1.65894240e-01 6.18091375e-02 -8.16776156e-02 9.45379585e-03 -1.76885519e-02 -1.65939316e-01 -8.02442282e-02 6.41088486e-02 -1.99167663e-03 -4.59073391e-03 -1.87950909e-01 -7.74105545e-04 3.52251926e-03 -1.23990126e-01 -6.59704488e-03 1.30907699e-01 -1.68709364e-02 -2.16050893e-01 1.76534146e-01 -7.46699944e-02 2.05250427e-01 8.44799131e-02 4.14261110e-02 2.53713243e-02 -1.82904601e-02 2.09151302e-03 6.29601404e-02 -4.15093303e-02 1.27786443e-01 1.56264409e-01 8.22363794e-02 3.15709412e-02 9.55939031e-05 -1.79653298e-02 1.85873285e-01 -2.58317962e-03 4.81455866e-03 -2.25519270e-01 -4.43690503e-03 -1.40383393e-01 2.04107478e-01 8.84180143e-03 4.63056192e-03 -6.71174424e-03 5.89173734e-02 -9.98770967e-02 -1.08262993e-01 -2.32533813e-02 -3.79933510e-04 2.12801527e-03 7.43410597e-03 7.89217651e-04 -1.87708680e-02 8.01689457e-03 -4.12842538e-03 1.22470455e-02 -7.46058896e-02 3.48599930e-03 -1.91344612e-03 2.84378254e-03 1.23148644e-02 7.15121105e-02 -2.10491061e-01 -5.52581996e-03 1.81580603e-01 6.76777288e-02 -7.80269457e-03 5.33895893e-03 -3.77357681e-03 -6.23526610e-02 1.23649888e-01 1.26556158e-01 5.35952440e-03 1.64207269e-03 -4.29700391e-04 -7.09655182e-03 -1.87988728e-01 -4.27993909e-02 2.41933973e-04 9.79948267e-02 -1.99434310e-02 -1.28041148e-01 -2.00224314e-02 1.14052378e-01 -6.11539604e-03 -7.30949938e-02 4.93015945e-02 5.96934045e-03 -4.98638907e-03 -3.73197347e-02 1.45214215e-01 7.77458474e-02 -2.27277819e-02 4.68730927e-03 -1.64178282e-03 -6.34210110e-02 1.70323610e-01 -5.75154535e-02 -1.75028592e-02 -8.45135152e-02 1.67900413e-01 8.27130750e-02 -7.29135573e-02 -7.75558501e-02 -1.88810639e-02 4.64004790e-03 1.30174577e-01 1.46207609e-03 -2.98707318e-02 -1.16079979e-01 1.29075604e-03 -1.20117053e-01 -1.09228063e-02 1.04336545e-01 8.13800655e-03 -2.30749622e-01 1.88097805e-01 4.86753834e-03 8.09986591e-02 -1.08351484e-02 1.89344864e-03 -6.08312413e-02 1.64153092e-02 -2.32610069e-02 4.20464166e-02 1.27526950e-02 2.46789381e-02 -1.76920686e-02] Cos Similarity tf.Tensor(0.98966444, shape=(), dtype=float32) (128,) (128,) [-0.07223462 0.12956235 -0.03359681 -0.01300237 -0.00839242 0.11216953 -0.03804318 -0.17687604 0.00040874 -0.00172165 0.05960317 -0.00272313 0.01916216 -0.13187227 0.06089889 0.03173364 -0.01614487 0.11924435 0.1609382 0.06271896 0.19920966 -0.015162 0.0264459 0.03625838 -0.02005506 0.00214257 0.21462692 -0.01732301 -0.1530583 0.1526747 -0.2275597 -0.12797709 0.00191065 0.00494946 0.10264612 0.01202032 0.00774479 0.02691155 -0.0143475 -0.10938036 0.20807216 -0.00558043 -0.01032094 0.00579251 -0.23248409 -0.23699686 -0.15822919 0.01091642 0.00840311 0.02309683 0.02387233 -0.00276568 -0.00715666 0.00155978 -0.00160464 -0.00054881 0.05121133 0.00764176 0.00787573 -0.02012755 -0.06405754 -0.07136795 -0.12657595 -0.00773073 0.1667886 -0.06854731 -0.01836039 0.04389938 -0.02273512 0.01197963 -0.01794271 -0.02609646 0.00475715 0.0070637 -0.01490055 0.02197031 0.15618922 -0.10403794 -0.00113505 0.18638384 0.01053432 0.00520464 -0.00485415 -0.01789375 -0.00629515 0.02018473 -0.01249206 -0.0031457 -0.00115829 0.10052101 -0.03375758 0.2343924 0.00234555 0.00638356 -0.01194645 0.09101172 -0.08377686 -0.00951544 0.01690385 0.19066313 -0.03795657 0.01551661 -0.15604223 -0.20133808 -0.01931706 -0.01416256 0.08231168 0.03923395 -0.01123273 0.0448605 -0.12133475 -0.14285213 -0.01560312 -0.07917784 -0.0760083 0.00147055 -0.05548152 0.00840295 0.08815452 0.00330756 -0.0009844 0.04608094 0.01787134 -0.01704433 0.2276899 -0.01729439 -0.08689602 -0.01207165] [ 0.03817087 0.08715151 -0.01105122 -0.03513824 -0.01167923 -0.00083547 -0.03621507 -0.09205164 -0.00367969 -0.0073465 -0.22872446 -0.00753725 0.012074 0.11089213 -0.07354295 0.13659807 0.00556605 0.08943578 0.00856611 0.0301698 0.1882879 -0.10929095 0.13070545 0.02725141 -0.04962621 0.00371004 0.22506307 -0.01847626 0.00951737 0.22304852 -0.21024431 -0.09305085 0.00636878 0.01130415 0.00966485 0.03147756 -0.00855921 0.09340062 -0.00478167 -0.06767404 0.05021039 -0.00350091 -0.00357753 -0.00306822 -0.17825536 -0.25604436 0.0420689 0.00835641 0.00762629 0.01813144 0.01385757 -0.00273699 -0.01342818 0.00057591 0.00044125 0.01278409 -0.02496723 -0.0005661 0.01294836 -0.01733404 -0.07770064 -0.20577866 0.04049628 -0.01752491 0.10283493 0.05033944 -0.00742246 -0.1197904 -0.01748513 0.13359588 -0.0035918 -0.17541392 0.00458428 0.00857565 -0.01176417 0.02753672 0.13446873 -0.10656708 -0.00476203 0.22816509 -0.00102548 -0.00284062 0.00222311 0.15159139 -0.18043593 0.00703389 -0.14415278 0.00999981 -0.00516608 0.08677845 0.11680195 0.21735565 0.00533203 0.01090881 -0.02270833 -0.0363468 0.0060441 -0.04604075 0.00619393 0.12180271 -0.02096507 -0.08126033 -0.01714471 -0.16771628 -0.0162806 -0.014121 0.02981005 0.00058677 -0.03203306 0.17941365 -0.08145364 0.1103707 -0.01869403 -0.08784579 -0.03811117 0.19631346 0.04881048 -0.00480553 0.09605679 -0.02677942 0.00412416 -0.03003815 0.00946834 -0.01418075 0.10325108 0.05848502 -0.06110799 -0.01978242] Cos Similarity tf.Tensor(0.5821391, shape=(), dtype=float32) (128,) (128,) [ 1.71229497e-01 8.68610665e-02 1.06651977e-01 -9.39775407e-02 -1.33860605e-02 -1.05911456e-01 4.21099551e-02 5.59215136e-02 -1.21702617e-02 -2.33531790e-03 9.25872549e-02 -3.94598022e-03 9.89354565e-04 1.13957922e-03 1.28593087e-01 -2.32040007e-02 -1.96398981e-03 8.32354873e-02 -2.27963086e-02 -9.83126760e-02 -1.66143268e-01 8.78843144e-02 -2.73929685e-02 9.94325504e-02 5.83800534e-03 -9.68377758e-03 -1.70690790e-01 1.24057895e-02 -1.04442447e-01 -1.30895153e-01 -1.90145984e-01 -1.00555129e-01 2.03556567e-03 -1.02062114e-02 -3.45942415e-02 2.55821757e-02 -3.98415723e-04 -2.07394704e-01 -4.49672667e-03 -2.96685845e-02 -7.10888356e-02 -2.78686127e-03 -7.68971257e-03 1.21107232e-02 -1.33314908e-01 1.32860139e-01 2.77302731e-02 6.59017591e-03 1.71451513e-02 1.31548224e-02 8.38880055e-03 5.51257236e-03 1.04033099e-02 1.29172653e-02 5.41560771e-03 9.63867363e-03 -1.49169281e-01 6.91429013e-03 -1.55513597e-04 -2.35918444e-04 5.58773018e-02 -1.27640411e-01 9.48768482e-02 -1.39835086e-02 1.02545455e-04 -6.00612760e-02 3.60835838e-04 -6.23681098e-02 -2.79813586e-03 1.66326582e-01 -7.95595869e-02 1.65894195e-01 5.94126387e-03 5.93405124e-03 6.80599688e-03 2.43321545e-02 1.69592693e-01 -1.95702892e-02 -2.97745410e-03 -3.76588404e-02 -5.79722458e-03 -8.68256437e-04 1.49071058e-02 -1.06296368e-01 1.18488379e-01 -8.57434347e-02 -1.27347931e-01 1.55623062e-02 2.98560807e-03 -2.11163297e-01 8.08980688e-02 -2.03618303e-01 1.67874042e-02 -6.65197801e-03 -1.03390533e-02 6.47732466e-02 1.12676986e-01 1.52051702e-01 3.67965968e-03 1.49999455e-01 -8.70248601e-02 1.84095517e-01 -1.46678045e-01 -8.32219273e-02 8.30088835e-03 1.44034838e-02 1.49511144e-01 1.92878563e-02 1.05471099e-02 -2.18358785e-01 1.25956997e-01 7.68704712e-02 4.46039811e-03 6.59295870e-03 -2.36143470e-02 1.83554128e-01 2.00770229e-01 -2.09719464e-02 -8.03094357e-02 -1.85688045e-02 1.72594916e-02 1.08005285e-01 1.64536163e-02 1.77959893e-02 1.02592751e-01 4.32233624e-02 -1.42167136e-01 7.20602227e-04] [ 1.96218878e-01 1.53398991e-01 8.29920098e-02 -1.71853200e-01 3.73495952e-03 -1.38391316e-01 2.62390962e-03 2.66108532e-02 -8.00641254e-03 3.51259112e-03 -8.46197754e-02 5.11654792e-03 2.38832328e-02 2.23179851e-02 1.15872443e-01 -7.07685500e-02 -1.45889667e-03 6.97094426e-02 7.95003697e-02 -5.15872911e-02 -1.71917915e-01 -1.75687432e-01 1.71007305e-01 1.00049367e-02 9.04953852e-03 -2.70706951e-03 1.62664756e-01 3.01124557e-04 1.00964911e-01 -1.74360827e-01 -2.10022286e-01 1.55108467e-01 1.80707257e-02 2.09176056e-02 -6.21631742e-02 2.56700702e-02 -1.44470891e-04 -1.78190887e-01 -9.33713280e-03 4.62883152e-02 -1.39663339e-01 -1.41211050e-02 -4.51912219e-03 1.02621624e-02 -1.40946597e-01 1.59605265e-01 4.45599295e-02 2.25025434e-02 1.28708836e-02 1.42492754e-02 1.04343975e-02 1.97443254e-02 1.60489436e-02 1.58852283e-02 7.98094273e-03 1.43298684e-02 5.47400191e-02 -1.16339829e-02 2.35198997e-03 1.46181649e-02 4.67061773e-02 -2.23906152e-02 5.40973730e-02 -3.00713014e-02 -1.92714676e-01 1.32441357e-01 1.22860691e-03 -1.33050099e-01 1.50786284e-02 5.69201969e-02 -2.24372484e-02 -8.38553533e-02 5.57386130e-03 2.74298294e-03 3.74685857e-03 2.08499953e-02 7.58445337e-02 4.72523272e-02 4.53299470e-03 -5.29854791e-03 -1.70724280e-03 -5.03708655e-03 1.16533991e-02 4.36663218e-02 -8.99629891e-02 -1.39303561e-02 -1.07234567e-01 1.45216612e-02 2.51430296e-03 -1.72699645e-01 9.49858427e-02 -1.43004075e-01 1.45098688e-02 -3.50660947e-03 -2.79077818e-03 1.31463051e-01 -5.17962724e-02 5.81396446e-02 -4.58489994e-05 -1.44314021e-01 -9.91063416e-02 7.90152401e-02 -1.39322802e-01 1.72487527e-01 2.19380483e-03 -2.17426568e-02 1.04251981e-01 1.03446096e-02 1.93009488e-02 -2.34313920e-01 3.06638554e-02 3.13738063e-02 1.46061797e-02 -1.58306081e-02 -1.11852987e-02 1.82344720e-01 2.07161382e-01 -2.60095894e-02 1.18817225e-01 -1.11299278e-02 6.15943735e-03 1.67144135e-01 -2.98616616e-03 8.24255031e-03 -1.23796962e-01 4.29156609e-02 -9.52441096e-02 -2.69758981e-03] Cos Similarity tf.Tensor(0.48164776, shape=(), dtype=float32) (128,) (128,) [-5.03975805e-03 -3.54898348e-02 -7.73332044e-02 3.25423107e-02 -8.67716037e-03 -1.53029680e-01 -1.99112147e-01 -3.55819613e-02 -8.32614675e-03 -7.30442954e-03 -2.01987654e-01 5.06008137e-03 5.62153524e-03 -4.04878100e-03 -5.90235293e-02 1.48977816e-01 -5.19065838e-03 -1.47198901e-01 1.94573745e-01 1.16076410e-01 1.04458548e-01 4.04342590e-03 1.44688293e-01 2.96442546e-02 -3.90533470e-02 3.99289740e-04 -1.37005255e-01 -2.34190971e-02 1.56673357e-01 1.70422688e-01 -1.54837444e-02 1.65549610e-02 3.80854914e-03 8.11559055e-03 1.66756913e-01 1.01703098e-02 -2.50596274e-02 -1.05994895e-01 -6.10678038e-03 -1.44143254e-01 1.90033466e-01 5.63577097e-03 6.33649155e-03 1.30711496e-02 1.58565953e-01 -8.64768773e-02 -1.62995398e-01 -2.70313653e-03 1.02675185e-02 2.95555306e-04 8.91270023e-03 1.03296537e-03 -3.80600058e-02 6.09009713e-03 -1.09006204e-02 -1.52789266e-03 -1.36688380e-02 -1.22037902e-02 2.45985994e-03 -5.81348129e-03 -8.80815741e-03 -1.46756753e-01 -1.93425238e-01 -3.32039618e-03 -1.63648516e-01 1.05501011e-01 -4.77288896e-03 2.62799882e-03 -1.06779551e-02 -7.28678033e-02 1.26134166e-02 1.89140797e-01 1.51105947e-03 1.56573281e-02 -1.05977245e-02 1.05461655e-02 -4.44140323e-02 -1.41735263e-02 -1.89787825e-03 1.06345817e-01 -1.49175590e-02 -6.73059598e-02 1.68584019e-03 1.34862408e-01 1.65368155e-01 -1.90907605e-02 1.20657951e-01 4.62801382e-03 -1.07877515e-03 -9.03850943e-02 1.12011172e-01 1.44627377e-01 2.58498900e-02 1.20659871e-02 -6.38793688e-03 -1.30881043e-03 -1.65078975e-02 -7.98981935e-02 -4.21798043e-03 -1.70539506e-02 1.71814725e-01 1.54993534e-01 7.24451244e-02 -2.12521538e-01 -1.26244966e-02 6.42152131e-03 -1.85348317e-01 2.98847631e-03 -1.93928201e-02 -1.09109685e-01 -3.40824365e-03 -1.06910698e-01 -1.13002779e-02 7.01903701e-02 -6.10498935e-02 -1.21647164e-01 1.89739391e-01 2.63778726e-04 1.05556808e-02 -2.88903359e-02 -7.54492031e-03 -1.28799424e-01 -7.04868184e-03 -7.64069799e-03 -1.15345441e-01 -3.98460403e-02 1.58303927e-04 -9.46800970e-03] [ 0.13793145 0.03832192 -0.05797254 0.01218128 -0.00225083 -0.00866273 -0.16797635 -0.05734424 0.00568303 0.00836959 -0.2305161 0.0308912 0.02408976 -0.08478066 -0.02533606 -0.01882469 -0.00083454 -0.18629383 0.2031966 0.12957169 -0.07660767 -0.00504782 0.11388554 0.04715994 -0.02110847 0.0085113 -0.1793763 -0.0179853 0.12998936 0.19251922 0.01673714 0.04609518 0.00078557 0.02421481 0.17597495 0.02323645 0.01112217 -0.03923682 -0.0303584 -0.20108125 0.19296393 0.01591788 0.01637339 0.01348981 0.16558488 -0.1504964 -0.02974295 -0.01086224 0.01512537 0.00964378 0.00424032 0.00176813 -0.00186523 0.01643772 0.00628468 0.02365166 -0.15059197 -0.03116546 0.01233788 -0.0089988 -0.00796927 -0.12093907 -0.13221684 0.01235136 -0.14765795 0.07257412 -0.00473751 0.03808109 0.00690562 0.02541135 0.05577523 0.16805431 -0.00901232 0.03004088 -0.00503304 -0.00534221 -0.10526573 0.14212182 -0.01119005 0.07284572 -0.01228384 0.01382703 0.01013154 0.1158912 0.08216071 0.02203749 0.09531531 0.01124939 0.00706569 -0.15663238 0.12540555 -0.09988154 0.02904181 0.01769437 0.00897724 0.00251723 -0.03308605 0.00639335 -0.00098006 -0.03883442 0.17000802 0.10087224 -0.01884449 -0.18663682 -0.0028089 0.01343651 -0.16069044 -0.00055017 0.00380267 -0.20115152 0.01278872 -0.11380446 0.00317541 0.13652782 -0.09540488 0.02882181 0.208423 -0.01845312 -0.11369109 -0.01916345 0.00923712 -0.04701729 0.00645554 0.00976329 -0.17495498 -0.00667343 -0.02282362 -0.02624413] Cos Similarity tf.Tensor(0.79967725, shape=(), dtype=float32) (128,) (128,) [-2.80590858e-02 -2.43295487e-02 -3.75899561e-02 4.55827266e-02 -3.11245769e-02 1.90898068e-02 1.76259816e-01 -1.18844263e-01 9.04216804e-03 -3.62035842e-03 -9.60684121e-02 -7.05932640e-03 -2.49942369e-03 -2.13535413e-01 -1.28480941e-01 7.24355131e-02 -9.57849063e-03 1.22804552e-01 1.29767759e-02 -6.26980737e-02 -7.11851195e-02 8.76129121e-02 -5.61153889e-03 -1.53163880e-01 -1.09641226e-02 1.29886423e-04 2.04936191e-01 -5.98852010e-03 4.33133878e-02 -2.69692522e-02 -5.29061724e-03 -1.82467490e-01 -8.37325118e-04 -1.56051330e-02 1.65834337e-01 2.83809956e-02 -1.56035204e-03 -1.99834909e-02 8.69033858e-04 -1.39682963e-01 2.05262661e-01 -2.39709299e-03 -1.70969795e-02 -1.02976384e-02 2.32466087e-02 -1.81670114e-01 7.53122792e-02 -6.08829502e-03 1.15276519e-02 7.17212167e-03 7.15653552e-03 -2.19095941e-03 -3.01240366e-02 3.30739119e-03 -1.59447547e-02 5.96791878e-03 -1.47914112e-01 8.76305066e-03 5.12566068e-04 -2.32627708e-02 8.77808258e-02 -2.00208962e-01 1.28032779e-03 -1.67963821e-02 -1.14859350e-01 -1.35464355e-01 -1.56354699e-02 -1.47390693e-01 -4.82259244e-02 -1.18178234e-01 1.41757801e-01 2.88796574e-02 1.13562192e-03 1.30293770e-02 -2.04710755e-03 6.32876530e-03 5.84186278e-02 1.42530397e-01 -5.06806187e-04 -1.82009682e-01 -4.82842000e-03 8.35953467e-03 -1.85356233e-02 1.75095975e-01 1.14834554e-01 1.67067572e-01 -4.35780771e-02 4.10811882e-03 -8.37600604e-03 -1.74938768e-01 -9.39994305e-03 1.86290219e-01 -1.00245802e-02 6.32363511e-03 -7.98935629e-03 3.40253371e-03 6.31304234e-02 -7.98204616e-02 -3.39816394e-03 -1.20073043e-01 2.21150387e-02 1.23418853e-01 2.27648765e-02 -4.41564359e-02 -1.08133219e-02 -6.93176966e-03 -4.41844538e-02 1.70263089e-02 -1.29155666e-02 4.82604243e-02 1.62994713e-01 -6.24884292e-02 -1.70707107e-02 -1.90075397e-01 3.00630461e-02 1.91728935e-01 -2.33512651e-02 -1.23431757e-02 1.50994405e-01 -4.34907861e-02 1.09138840e-03 2.37144809e-02 1.43436575e-02 1.05695622e-02 2.01466694e-01 3.70592549e-02 1.64985552e-01 -2.30681151e-02] [ 0.04444547 -0.03053753 0.05049183 -0.05865184 -0.02091728 0.00122687 0.12723763 -0.17850117 0.01211797 0.00186219 -0.04092799 0.00062527 0.00226342 -0.17820339 -0.08141258 0.01785531 0.00502143 0.17210045 -0.19232889 -0.06246841 0.11471646 0.10209004 -0.03112539 -0.08864202 0.00726352 0.00763127 0.14431733 -0.0273589 -0.17557377 0.11953228 -0.09510463 -0.1364338 -0.00505635 0.00433539 0.11636025 0.0177943 -0.00748557 -0.0197117 -0.00152821 -0.05820753 0.1890872 -0.00436581 -0.00453134 0.00432844 -0.06146068 -0.1780675 0.13249555 0.00527349 0.01941473 -0.01097064 0.01190778 -0.00032846 -0.00265006 0.00691482 -0.00872572 0.00521431 0.06740087 0.01668964 0.01074368 -0.00288763 0.0884795 -0.19589569 0.07697953 0.00525351 -0.18717591 -0.15343615 -0.01209086 -0.04469982 -0.03087573 -0.13232908 0.08813613 0.17332959 -0.00065127 0.01065028 0.00420949 0.00277392 0.04356325 0.14210753 0.00493567 -0.20862712 -0.00140319 -0.00660643 0.01091253 0.08402294 -0.06583328 0.1681777 -0.1747084 0.00211014 0.00044643 -0.0007023 0.16132876 0.15721753 0.00475452 0.01192315 -0.00283936 -0.17030111 -0.05459481 0.01502237 0.00797188 -0.11698608 0.06954709 0.16804518 0.14919282 -0.03168219 0.00375038 -0.00204888 0.00146863 0.02245388 0.01057682 -0.11211396 0.15820867 -0.06068084 0.00502344 -0.00679535 -0.00455864 0.19757964 -0.15091501 -0.00606063 0.14975043 0.00442859 0.00655915 -0.04353427 0.02541279 0.00838231 -0.00349558 -0.03281793 0.05973872 -0.01329085] Cos Similarity tf.Tensor(0.6680802, shape=(), dtype=float32) (128,) (128,) [-1.35158971e-01 -2.69890092e-02 -5.17419875e-02 5.42570511e-03 -1.74691938e-02 -7.51446513e-03 6.76464587e-02 1.52178541e-01 3.51172313e-03 7.34204939e-03 -1.11301132e-01 6.74390176e-04 9.63237043e-03 1.23039529e-01 6.25105873e-02 -7.27408081e-02 1.41656771e-03 -4.60812002e-02 1.52910039e-01 -1.95910871e-01 -3.91884558e-02 -4.11704415e-03 -8.89315829e-03 1.59845427e-01 -1.09800929e-03 9.93976649e-03 1.12265749e-02 -1.13596525e-02 -2.08960027e-01 3.58000919e-02 1.79847971e-01 1.38273835e-01 3.40736820e-03 2.74735829e-03 1.18808746e-01 3.32654677e-02 -2.76883977e-04 1.27557769e-01 -1.08689331e-02 -1.77575182e-02 7.40728304e-02 -7.02483347e-03 -1.87573722e-03 1.04903402e-02 -1.38845861e-01 -1.49890259e-01 -1.79963335e-01 -1.86988770e-03 7.04888534e-03 1.85528509e-02 8.48683994e-03 5.32233948e-03 -7.57695036e-03 2.06683180e-03 4.12804657e-04 1.64058208e-02 1.17379673e-01 -1.47977229e-02 -3.31793306e-03 2.44827534e-04 -2.36347631e-01 -1.55120984e-01 -1.85173228e-01 2.85587600e-03 8.15309957e-03 1.02093779e-01 -1.48288878e-02 -7.82487914e-05 -1.38557712e-02 -4.99476083e-02 -1.87733129e-01 -1.02945436e-02 -4.72078938e-03 9.57984850e-03 -1.50417350e-02 -2.55861040e-03 2.49764021e-03 1.48736775e-01 3.96010606e-03 -1.42547429e-01 -9.06940363e-03 8.31076130e-02 -7.65319820e-03 2.17450708e-01 9.30653587e-02 3.97313312e-02 -9.03393775e-02 9.95161664e-03 -2.08134111e-03 7.02512935e-02 9.62761864e-02 -8.27113092e-02 -1.20209865e-02 5.12174983e-03 8.82544089e-03 -3.65441106e-03 1.08282454e-02 -1.50196403e-01 -1.08905369e-02 -2.10545044e-02 -9.72727984e-02 1.94050193e-01 -9.99865830e-02 1.86635964e-02 -2.20106775e-03 -8.24318826e-03 1.22032158e-01 -1.14108426e-02 -6.38861954e-03 -2.38139890e-02 -1.09846555e-02 -6.97962865e-02 -1.14938582e-03 -2.32462034e-01 -2.51548551e-02 1.46131322e-01 -2.26669431e-01 8.76414683e-03 -1.61814898e-01 2.77679274e-03 -8.62270501e-03 2.07884476e-01 6.16546068e-03 -5.98145043e-03 7.19518634e-03 1.26648266e-02 -1.45819532e-02 -1.15799662e-02] [-2.09935948e-01 4.70046028e-02 3.49781252e-02 2.00245585e-02 -1.70342196e-02 -7.18988385e-03 1.01502009e-01 2.22351924e-01 4.56772791e-03 7.45993992e-03 -1.97283313e-01 3.85759282e-04 5.02198469e-03 1.47747427e-01 -2.68361103e-02 -6.71627000e-02 -8.81749485e-03 1.09053776e-01 1.30589828e-01 -1.86607420e-01 7.35916430e-03 -6.59961253e-02 -1.55214441e-03 5.02143241e-02 1.23490952e-02 4.64195339e-03 4.99925762e-02 -1.65005978e-02 -1.51939303e-01 3.35732736e-02 -4.44919243e-03 -1.79178342e-01 -1.01524987e-03 -7.91653898e-03 7.55666792e-02 3.77505049e-02 -6.77960401e-04 9.92050618e-02 -5.40403184e-03 5.75663755e-03 4.56012040e-02 1.68433320e-03 -8.79818480e-03 -2.29289941e-03 -1.65887803e-01 7.30578601e-02 -1.76650539e-01 -1.26620114e-03 -1.64669694e-03 1.08929351e-02 1.05266767e-02 6.55870000e-03 -7.21733319e-03 1.76770659e-03 -2.43217708e-03 1.04829725e-02 1.42956153e-01 -1.34867933e-02 -1.07135519e-03 1.17981322e-02 -2.41158739e-01 1.07988775e-01 -1.83499396e-01 1.57850224e-03 -3.24058346e-02 1.61468148e-01 -1.63025707e-02 7.77923362e-03 -1.32385297e-02 -1.74968556e-01 -1.49322778e-01 9.52516124e-02 -1.06981164e-03 5.42437425e-03 -3.62001520e-05 -1.35906003e-02 -3.37259248e-02 8.57262909e-02 3.17713991e-03 -1.89993858e-01 -1.23526705e-02 1.39323950e-01 -9.62751079e-03 1.71171665e-01 1.15536526e-01 3.41005139e-02 -1.05961680e-01 1.10051576e-02 -4.85307828e-04 3.24001499e-02 9.61805228e-03 -7.20826238e-02 -8.37861747e-03 3.44697130e-03 1.58348475e-02 -4.57500331e-02 1.41560316e-01 -3.03131510e-02 -1.30887348e-02 -1.35422766e-01 -1.51289701e-01 1.91746846e-01 -1.27187148e-01 -3.59896396e-04 1.47634209e-03 -1.33422660e-02 9.29294750e-02 -8.83024931e-03 -6.92824181e-03 -9.30112675e-02 -1.49669619e-02 3.19218487e-02 -7.90672470e-03 -4.54165787e-02 2.60282704e-03 1.53258011e-01 -2.29984924e-01 1.08841807e-02 -1.55253440e-01 -2.43266765e-03 -2.51154439e-03 1.76913098e-01 5.77298691e-04 -1.44744217e-02 3.29748057e-02 1.33028058e-02 -8.93865619e-03 -9.83937737e-03] Cos Similarity tf.Tensor(0.7452996, shape=(), dtype=float32) (128,) (128,) [-8.35938379e-02 -3.89987379e-02 3.33529301e-02 2.01769546e-01 -3.51950191e-02 -4.63111512e-02 -1.63812917e-02 -2.00942442e-01 7.11305009e-04 -1.63087016e-03 -1.82856351e-01 -1.17889484e-02 1.84468906e-02 -1.73881918e-01 1.13358445e-01 -3.15228067e-02 -1.29237724e-03 1.06016308e-01 4.68366779e-02 -1.51384428e-01 -4.00416255e-02 2.09313005e-01 1.88185666e-02 -1.28695175e-01 4.08516265e-03 6.88591413e-03 1.44422621e-01 1.33551250e-03 7.10598603e-02 3.34648439e-03 1.77415401e-01 1.97047502e-01 -3.39678256e-03 -9.79315810e-05 -1.34417377e-02 2.07996704e-02 3.64169618e-03 -1.85468525e-01 -1.11358371e-02 -1.18809558e-01 2.19974648e-02 7.97725655e-03 -6.14183629e-03 -1.55073404e-02 -6.90696910e-02 -1.65810198e-01 9.63830296e-03 1.34697463e-02 1.66518427e-02 1.74301844e-02 1.12365652e-02 -1.50489504e-03 -1.32757435e-02 1.16640273e-02 -5.88730071e-03 -1.39011173e-02 1.04383901e-01 5.94345387e-03 -1.25593576e-03 -7.20255356e-03 -2.16505617e-01 -2.83031706e-02 1.99567318e-01 -2.48143710e-02 -2.16573905e-02 -3.96476984e-02 -6.60426170e-03 1.27230305e-02 -2.17519607e-02 1.87619135e-01 -1.04680769e-01 5.80649637e-02 -3.40529696e-05 3.98180867e-03 -1.66594833e-02 8.48119892e-03 -1.79277420e-01 -5.99154700e-05 -1.12788929e-02 -1.25445664e-01 2.03023292e-03 1.18449414e-02 -3.67539027e-03 -4.13549924e-03 6.69623837e-02 1.92049116e-01 4.85039502e-02 3.72561812e-03 -2.13189181e-02 -1.04938179e-01 3.81265208e-02 -6.62881285e-02 -7.66521133e-03 7.44316634e-03 5.03695279e-04 -9.52159762e-02 -3.37331630e-02 -1.88500270e-01 -6.34034048e-04 8.46570507e-02 2.56642271e-02 -8.49882811e-02 1.75662674e-02 1.79861918e-01 1.50932523e-03 -1.08560761e-02 1.84912115e-01 -1.84716899e-02 3.27692158e-03 8.79498795e-02 6.76688179e-02 5.36793098e-02 5.11870533e-03 1.31726623e-01 6.21321611e-02 3.62397358e-02 -1.41158268e-01 -6.91177184e-03 -2.13151500e-01 4.00035363e-03 2.02216161e-03 1.15756169e-01 2.12664418e-02 -1.69250909e-02 1.97583869e-01 4.23829146e-02 3.70462835e-02 -9.40907095e-03] [ 1.95981488e-02 -1.99591573e-02 9.23244357e-02 5.04207350e-02 -4.26167846e-02 -1.14086062e-01 2.60713492e-02 -2.22095370e-01 -6.97398512e-03 -8.29819310e-03 3.24441306e-02 1.42759411e-02 1.23942075e-02 2.13926714e-02 1.03693843e-01 -1.14479266e-01 3.91733786e-03 -3.13064456e-02 4.17735204e-02 4.70475331e-02 -1.06193729e-01 2.18633220e-01 -6.40843436e-02 1.06307559e-01 -1.46124195e-02 6.43416075e-03 1.95787817e-01 -8.75268690e-03 -8.94831046e-02 3.36223952e-02 1.49928570e-01 1.97108880e-01 -1.89805850e-02 9.61789582e-03 1.31764278e-01 8.54972377e-03 5.93639631e-03 -1.90922499e-01 -9.49636474e-03 8.39946643e-02 -1.94613025e-01 9.93504946e-05 -2.07729894e-03 1.57261007e-02 -1.59607008e-01 -1.16353624e-01 -7.72878230e-02 -6.18366338e-03 1.22770835e-02 8.19070730e-03 8.87805782e-03 -3.39599233e-03 -2.25998275e-02 7.54815992e-03 -2.85096164e-03 -1.47053860e-02 9.09738690e-02 4.84181009e-03 1.14809601e-02 -2.84772762e-03 -9.40374434e-02 -1.12002097e-01 -3.48354913e-02 5.73505182e-03 1.53091267e-01 -5.56684695e-02 7.31124252e-04 4.89088260e-02 -3.44245024e-02 1.80095807e-01 -1.46928996e-01 -1.06693357e-01 -3.83799663e-03 -1.87515136e-04 -1.01685729e-02 1.12024527e-02 -1.49645925e-01 7.44672716e-02 1.00956550e-02 -9.86672491e-02 1.23162307e-02 3.75959696e-03 -5.77945684e-05 8.34923331e-03 1.31548405e-01 -9.45355445e-02 8.94260406e-02 3.89976776e-03 1.64735271e-03 -1.60837695e-01 1.48788154e-01 3.93908173e-02 7.95658771e-03 6.64153276e-03 5.11823921e-03 -1.59210384e-01 1.87966123e-01 -1.29541874e-01 -1.10334130e-02 -1.73326880e-02 1.21325202e-01 -1.19519465e-01 -1.63729012e-01 1.68414846e-01 -5.16118063e-03 1.23604080e-02 9.45372805e-02 3.26342992e-02 -1.84336957e-03 1.31609857e-01 -4.79144976e-02 1.47134941e-02 -6.17759209e-03 1.39585361e-01 -3.35334949e-02 2.42375433e-02 -1.17286026e-01 -1.14187049e-02 -2.14966893e-01 -5.95835678e-04 2.25470588e-03 5.67111827e-04 2.95022745e-02 -2.11871248e-02 -1.94537282e-01 -2.43503675e-02 -3.39674503e-02 -2.53199181e-03] Cos Similarity tf.Tensor(0.49506262, shape=(), dtype=float32) (128,) (128,) [ 1.81504652e-01 5.76321548e-03 -9.23702121e-02 1.35883107e-04 -1.75543446e-02 2.85422951e-02 -4.25277352e-02 -2.91127980e-01 -7.34814070e-03 -1.22699067e-02 -1.68947220e-01 -9.46852658e-03 -1.29447505e-03 2.25961983e-01 -2.66099977e-03 -3.63994688e-02 -1.04482519e-02 -3.26861851e-02 -5.50381914e-02 1.19128175e-01 2.81674594e-01 -1.15786912e-02 -6.90788217e-03 5.22353016e-02 -1.00886356e-02 6.02271035e-03 2.23659620e-01 -2.73254570e-02 -1.76698908e-01 -6.62710378e-03 4.17936482e-02 4.66284750e-04 2.21155174e-02 1.09082162e-02 -1.33565972e-02 2.03065034e-02 -2.38485709e-02 1.42534286e-01 1.69588123e-02 -2.03687772e-01 -1.07107893e-01 9.78538953e-03 -2.70027970e-03 2.91873177e-04 1.56636640e-01 -1.08348355e-01 -3.05968616e-03 -1.32104149e-02 9.02973674e-03 -2.22824467e-03 7.69719156e-03 -9.63840866e-04 -2.24644225e-02 1.21256253e-02 -1.97698269e-02 7.11628702e-03 -1.57454699e-01 -6.98031392e-03 -7.96779990e-03 -1.48435645e-02 -7.86266327e-02 7.01418221e-02 -1.89915001e-02 -2.74042189e-02 -9.76100378e-03 2.23631859e-02 -1.18094767e-02 -1.40993267e-01 -4.64399420e-02 -1.13806739e-01 8.81184563e-02 -2.53982276e-01 -7.83987798e-06 -1.28080591e-03 -6.01849426e-03 -1.31376637e-02 -3.22856940e-02 1.89176500e-02 -9.80587676e-03 -9.59967598e-02 -1.66023094e-02 -4.41194326e-02 1.02024991e-02 6.67643547e-03 -1.19017370e-01 2.79679243e-02 -2.90303119e-02 1.64953165e-03 -4.24677157e-04 7.22248256e-02 4.41464186e-02 -8.82428326e-03 -1.35176191e-02 4.18398203e-03 -1.04503594e-02 8.92877504e-02 3.00192111e-03 1.58189401e-01 -1.62495151e-02 -3.07416946e-01 -2.98780594e-02 -2.23130640e-02 3.73782590e-02 -1.88850924e-01 -2.14486532e-02 6.02944801e-03 2.68331729e-02 1.70526132e-02 -2.21474301e-02 -2.12964833e-01 -8.30790319e-04 -4.79478762e-02 -1.36835510e-02 -1.26203056e-02 -1.60330124e-02 1.16606981e-01 1.55700436e-02 -1.46959424e-02 -2.11916611e-01 -4.79347035e-02 1.24536399e-02 -4.75668423e-02 1.66031420e-02 -1.91701502e-02 4.08619903e-02 1.62427071e-02 1.63347244e-01 -2.18582675e-02] [ 1.63539752e-01 1.45391515e-02 -7.72046670e-02 2.06679502e-03 -2.27484386e-02 -2.05839172e-01 -1.84334114e-01 -2.67785937e-01 -7.36348331e-03 -1.52757782e-02 -2.36686245e-01 -1.07494323e-02 9.91690555e-04 1.64206028e-01 5.32373898e-02 -2.73254868e-02 -4.33924841e-03 -3.10284868e-02 -6.18195422e-02 1.20265232e-02 2.63038278e-01 -3.24985124e-02 -5.15031116e-03 4.81542572e-02 -6.16334425e-03 5.64299664e-03 1.28734931e-01 -1.89832058e-02 3.33312601e-02 5.89243881e-02 5.50089516e-02 -8.48150067e-03 2.57817507e-02 8.78936704e-03 1.32560909e-01 4.54431958e-02 -1.97606478e-02 4.78704758e-02 1.85033921e-02 6.10875990e-03 -8.68602768e-02 1.23182861e-02 4.58022719e-03 -8.53477337e-04 -4.14249748e-02 -1.32376999e-01 9.14329588e-02 -1.10369669e-02 9.03918128e-03 -2.40306696e-03 7.61872064e-03 1.16304996e-04 -1.58723984e-02 1.48642082e-02 -1.55915217e-02 5.89015754e-03 -1.83785647e-01 -7.79973343e-03 -7.28028081e-03 -9.53104254e-03 -5.44213988e-02 6.80456832e-02 -1.09626621e-03 -2.57321298e-02 2.11702064e-02 2.78670061e-02 -8.18375684e-03 -1.29298970e-01 -5.35154603e-02 1.56002697e-02 -6.22769780e-02 -2.34055579e-01 -4.60172567e-04 -2.32618232e-03 -4.97684954e-03 -1.49163892e-02 5.44143515e-03 -1.18920103e-01 -4.72317962e-03 -1.59452170e-01 -1.00798253e-02 -2.16965899e-02 1.39398267e-02 -1.57962292e-01 -8.98817107e-02 2.55659427e-02 -7.14733265e-03 1.50474731e-03 3.53768398e-03 2.58729551e-02 1.07590981e-01 -1.21230245e-01 1.78884610e-03 2.29909876e-03 -1.21408636e-02 7.93302953e-02 -3.27888690e-02 2.26417199e-01 -7.77661242e-03 -2.99376160e-01 -1.13771692e-01 -2.62963567e-02 3.99266444e-02 -1.74076080e-01 -2.22850423e-02 7.61719281e-03 -1.33851409e-01 1.78414434e-02 -1.11785959e-02 -2.41742611e-01 2.09358912e-02 9.48095024e-02 -5.32758282e-03 -6.07157797e-02 -1.97271276e-02 3.89538854e-02 2.37204880e-02 -1.02079315e-02 -1.97599292e-01 -3.69405076e-02 7.36162392e-03 -1.19013987e-01 1.91431250e-02 -8.71002302e-03 3.71540524e-02 1.85485315e-02 4.26528938e-02 -2.23082639e-02] Cos Similarity tf.Tensor(0.75645447, shape=(), dtype=float32) (128,) (128,) [-1.23170339e-01 1.04407698e-01 -8.26090723e-02 2.50456128e-02 -2.46849936e-02 -5.42640779e-03 -3.65669243e-02 -2.03556031e-01 7.21728150e-03 -4.55624843e-03 -1.16081862e-02 -3.77476937e-03 1.14909774e-02 -1.50166869e-01 8.59573781e-02 -1.83525026e-01 5.95184136e-03 3.58711742e-02 1.65056642e-02 8.59717280e-02 -1.17312502e-02 -7.48778731e-02 -8.34675208e-02 1.58687606e-01 -1.08543662e-02 7.01671932e-03 1.33566618e-01 -1.52533321e-04 1.48573667e-01 -1.57062635e-01 -1.08673111e-01 -5.40976152e-02 1.02891168e-02 -9.15474072e-03 -1.84809640e-01 4.39394489e-02 -1.31732626e-02 -2.06306070e-01 8.51116423e-03 -1.95311848e-02 6.97512850e-02 -1.86938792e-03 -8.04235879e-03 -8.33784754e-04 -1.08229183e-01 3.43351997e-02 6.72295317e-02 7.48549867e-03 1.06165027e-02 3.63001996e-03 1.14648947e-02 2.04935379e-04 -1.92655846e-02 6.24089735e-03 -1.08946934e-02 1.50436640e-03 9.40848440e-02 3.89725738e-03 7.53549393e-03 -7.18073361e-03 1.82039157e-01 -1.43349469e-01 1.09529279e-01 5.00124879e-03 9.92655829e-02 1.28591225e-01 -6.02902519e-03 -5.17810869e-04 -1.05813630e-02 7.62746930e-02 -1.38184547e-01 -5.67488074e-02 -7.10602757e-03 1.96607434e-03 -1.30308315e-03 1.43973362e-02 -5.14117181e-02 -1.05016880e-01 7.24252386e-05 1.43110812e-01 3.57159995e-03 2.15652771e-03 -2.66236532e-03 1.66515574e-01 8.92014876e-02 1.72568932e-01 -1.00698397e-02 5.71538461e-03 3.37714126e-04 -1.35465130e-01 1.11063784e-02 -5.47833815e-02 4.17534029e-03 8.67952593e-03 6.73372997e-04 -2.26847097e-01 2.14076843e-02 -2.19477251e-01 -5.51499659e-03 7.27445707e-02 1.32149532e-01 -1.11376785e-01 1.59874544e-01 -7.30928108e-02 -1.30491704e-02 -1.35294599e-02 -5.85003160e-02 1.40529582e-02 -1.67465638e-04 1.24813490e-01 -8.91455337e-02 7.95200616e-02 -1.71624008e-03 1.30722001e-01 -2.09185518e-02 2.14493290e-01 1.55242234e-01 -9.69942939e-03 -1.51842088e-01 -5.71361408e-02 -1.33469619e-03 1.40031099e-01 1.38953440e-02 -7.07003800e-03 -1.51607007e-01 1.02107815e-01 1.08165741e-01 -9.48502775e-03] [ 1.11853480e-01 -3.22619304e-02 -1.01949513e-01 4.69104834e-02 -3.62890549e-02 -6.34333219e-07 5.32840639e-02 -2.03539833e-01 7.87769537e-03 -2.14096927e-03 1.57827452e-01 -9.57595999e-04 6.59624522e-04 -1.87327832e-01 1.17913894e-01 1.05616443e-01 -1.80643913e-03 -1.37339547e-01 7.72186890e-02 1.61481034e-02 1.09333351e-01 -9.75423381e-02 -1.62601501e-01 -1.47978812e-01 6.68241584e-04 3.55927087e-03 1.36770755e-01 9.48526605e-04 4.72931974e-02 -1.41207322e-01 -2.04862565e-01 8.72484371e-02 5.75310644e-03 -9.42803640e-03 -1.44696623e-01 -1.04815587e-02 -1.78002771e-02 -4.68225479e-02 7.75989052e-03 7.88412839e-02 -9.07622557e-03 -3.03051458e-03 -1.32671907e-03 1.19486556e-03 7.41368011e-02 4.01681997e-02 4.48163450e-02 6.85280608e-03 9.67864972e-03 7.18884170e-03 4.79576457e-03 2.03614263e-03 -2.94558238e-02 1.25461537e-03 -9.03485157e-03 1.71234738e-03 -5.92467375e-03 -3.21675884e-03 6.90273801e-03 -1.67480968e-02 2.16186225e-01 -1.37695476e-01 -7.41096735e-02 -5.05064195e-03 1.51133478e-01 2.04683676e-01 -1.49056176e-02 1.11135811e-01 -1.47935227e-02 7.91249126e-02 -1.55748069e-01 -1.27957985e-01 -3.99189163e-03 3.78982862e-03 -4.65744268e-03 9.58152115e-03 1.03292920e-01 9.56685990e-02 -3.23026732e-04 -1.04116328e-01 -3.44351819e-03 -1.53031538e-03 4.57174238e-03 -1.74626753e-01 -6.33010268e-02 1.36217639e-01 4.95164143e-03 2.50178901e-03 -2.34666769e-03 -1.15640000e-01 7.42680281e-02 -1.16205707e-01 -1.03887282e-02 5.86608890e-03 4.90458822e-03 -1.70060098e-01 -5.00257534e-04 -6.84097037e-02 -7.91728310e-03 1.89809635e-01 -1.68758944e-01 1.00102723e-01 9.81862843e-03 1.65524542e-01 -1.86022632e-02 -2.36120610e-03 -9.58840102e-02 1.64513122e-02 7.34100118e-04 -1.44479975e-01 1.27740785e-01 -4.04885001e-02 -4.87425597e-03 1.19712718e-01 -3.28100026e-02 2.05840543e-01 -1.19644195e-01 -4.36860323e-03 -1.50003240e-01 -4.48434204e-02 3.00527504e-03 -9.70731303e-02 9.73500684e-03 -6.99123275e-03 -9.37575474e-02 6.72116131e-02 3.13018896e-02 -9.12898593e-03] Cos Similarity tf.Tensor(0.3240965, shape=(), dtype=float32) (128,) (128,) [ 1.42109558e-01 -2.64156703e-02 3.90242902e-03 -8.88684765e-02 -6.33431785e-03 -1.21350944e-01 1.43660024e-01 1.64110854e-01 6.36367113e-05 -7.51488493e-04 5.06067369e-03 -2.52743009e-02 -6.21533813e-03 1.32360924e-02 1.67861562e-02 -5.52598238e-02 -9.35774855e-03 -2.76635345e-02 1.29707381e-02 -2.43211091e-01 2.87675438e-03 -8.33896250e-02 9.11210105e-02 1.14544697e-01 -1.30741131e-02 6.06622361e-03 2.17319384e-01 -1.83937047e-02 9.67078805e-02 1.37981132e-01 2.08276906e-03 8.75831544e-02 -1.03877541e-02 -8.04259069e-03 2.59894766e-02 7.67848082e-03 -1.34597141e-02 -8.74846876e-02 -1.94268264e-02 6.09883256e-02 1.03111649e-02 2.53886974e-04 -5.53409162e-04 9.17693134e-04 9.81647894e-03 -2.16070205e-01 1.36978948e-03 8.92251090e-04 9.64044128e-03 -7.68463919e-03 6.64185453e-03 4.88803536e-03 4.44209494e-04 4.03742632e-03 -1.34017123e-02 5.19344909e-03 -8.05181917e-03 -1.20818391e-02 -2.21079355e-03 5.56319766e-03 4.21431325e-02 -3.04925412e-01 2.10136741e-01 3.08805401e-03 9.11778882e-02 3.12910527e-02 -3.99401528e-04 1.39299870e-01 -8.16635508e-03 -8.82471502e-02 -6.34360015e-02 1.24985866e-01 4.16153949e-03 -9.72709246e-03 -1.54618416e-02 1.48576533e-03 1.76012088e-02 -8.06796700e-02 1.18392259e-02 4.84257713e-02 -1.93942692e-02 -3.25037837e-02 4.39671660e-03 7.44076371e-02 -1.64419457e-01 3.75430807e-02 -1.03189461e-02 7.43749877e-03 -1.01031186e-02 1.31705463e-01 1.98452789e-02 -8.99418890e-02 -1.08472947e-02 1.25085202e-03 1.28456876e-02 -2.75868952e-01 -1.37970876e-03 1.08624838e-01 -1.21811610e-02 -6.14923462e-02 -8.61323103e-02 -3.53892483e-02 2.72373915e-01 -1.11718491e-01 -1.82477031e-02 -1.85459461e-02 6.23324327e-02 8.50405637e-03 -1.96164921e-02 -5.04355505e-02 1.36784077e-01 2.14090168e-01 2.37826607e-03 2.15937957e-01 -3.11619453e-02 7.54836947e-02 1.01198047e-01 -2.16976199e-02 1.65061072e-01 -2.44972333e-02 -3.42062605e-03 1.51302710e-01 1.47360237e-02 -1.13796825e-02 -8.49963576e-02 6.97593540e-02 -1.34217232e-01 -2.71703396e-02] [ 0.1910354 -0.0619939 0.00703385 0.07070416 0.0061882 0.01874848 0.15550551 0.00097029 0.03102249 0.03421493 -0.13832243 0.01429797 0.04536683 -0.06686033 0.08737545 0.00323843 0.05212687 0.02456142 0.12850796 -0.08880067 -0.08981073 0.01417066 0.17413399 -0.02243576 0.0638574 0.00804222 0.05225522 0.01215184 -0.00189876 -0.20590036 0.11928268 0.07235865 0.04813352 0.04416905 0.1719067 0.03150858 0.07610128 -0.12004182 -0.05144094 -0.10662685 0.00144425 0.00125039 0.01038482 -0.02292229 -0.00123418 0.11406895 -0.02437469 0.00356881 0.02978583 0.02553813 0.01752624 0.00349703 0.04826203 0.03673904 0.03493039 0.03801791 0.11877385 -0.06100377 0.02892467 0.01806158 0.15848584 0.06615792 -0.05678639 0.0534449 0.13578326 0.17993237 0.02537899 0.14254726 0.05654629 -0.04121601 -0.07229295 -0.18540172 0.00102609 0.047913 0.02670619 0.04856736 0.11259855 0.13530128 -0.00862101 0.07731564 -0.00753331 -0.02089437 0.02061625 -0.07433084 -0.17006785 0.10557006 -0.07095646 0.01966745 0.020892 0.14106852 0.07212477 0.07024192 0.02720887 0.04328593 0.02946177 0.17338952 -0.05091451 -0.1627609 0.00928988 0.12254347 0.19194272 -0.2124177 0.02583247 0.0787622 0.02755315 0.00480325 0.14685717 0.00432145 0.06712529 -0.07147481 0.09042014 -0.08777691 0.03167439 -0.09275929 -0.0514173 0.18866445 0.07384343 0.00791931 0.10930765 0.02869064 -0.03721473 0.18750548 0.0680072 -0.00541816 -0.22033662 0.03294328 -0.01268329 0.0022743 ] Cos Similarity tf.Tensor(0.07335949, shape=(), dtype=float32) (128,) (128,) [ 1.0844488e-01 2.5597040e-02 -1.0838709e-01 6.4648159e-02 -2.7503382e-02 1.9844823e-01 1.2573960e-01 -1.9954158e-01 -5.5172448e-03 -1.6588124e-02 -1.3591872e-01 -7.3675564e-03 -1.9630328e-02 -8.6814061e-02 2.5856942e-02 9.4969980e-02 1.0870066e-02 3.2161221e-02 1.2137256e-01 -1.7606108e-01 -5.3277936e-02 1.5622419e-01 1.1988936e-02 1.2363365e-01 -2.5927652e-02 -1.3575305e-03 1.6835295e-01 -1.2152071e-02 -2.7259616e-02 -1.1058747e-01 -1.1909086e-01 1.2234846e-01 1.4824606e-02 -1.5796764e-02 -7.6030418e-02 -2.0067843e-02 -1.4725186e-02 -7.2021417e-02 7.9174396e-03 -1.7430633e-01 -8.1331991e-02 -3.0381593e-03 -1.2976719e-02 1.0666260e-02 -6.1849423e-02 -1.0463026e-01 4.5183953e-02 6.6583795e-03 5.8873766e-03 1.0187574e-02 1.2780939e-02 -3.7376788e-03 -1.2505870e-02 5.0029201e-03 -2.0297257e-02 -3.9399294e-03 -1.0343371e-01 -4.5396253e-05 -3.7684524e-03 -1.1562380e-02 -1.4570373e-01 -1.9752043e-01 -1.2885149e-01 -2.7773656e-02 -5.3912055e-02 5.4697324e-02 -1.8037781e-02 -1.4366703e-01 -3.5957411e-02 -3.8257688e-02 -1.2489050e-02 -2.4081901e-01 3.5413655e-03 -5.9683109e-03 -8.0188187e-03 1.0969530e-02 -2.8930141e-02 1.1619355e-01 -6.5281675e-03 -1.5994430e-01 2.3536643e-03 4.3780845e-02 -6.9185928e-03 8.0241702e-02 1.9100013e-01 2.8375832e-02 2.5055250e-02 1.1452078e-03 -6.4466735e-03 1.6879204e-01 6.5170705e-02 2.1939957e-01 -1.3118037e-02 6.0609779e-03 -1.0689170e-02 -6.6716686e-02 1.7666866e-01 7.6652400e-02 -2.1047534e-02 5.2382681e-03 -1.9657645e-01 -1.6898455e-01 -8.2777992e-02 1.2323413e-01 -1.0276701e-02 -2.9561878e-03 1.3207869e-01 9.4521348e-04 -3.1485163e-02 3.3067383e-02 4.3127548e-02 -5.6301337e-02 -3.2787986e-02 1.2725994e-01 7.7285305e-02 -2.2830380e-02 9.2166282e-02 -5.1169191e-03 1.8369302e-01 -4.6580613e-02 9.4271991e-03 -1.3505855e-01 1.6352409e-02 5.6896824e-03 -1.4897905e-01 2.8408913e-02 -3.8913157e-02 -1.2474200e-02] [ 0.1154578 -0.0793552 -0.07815225 0.01797055 -0.01451828 0.17813936 0.10877738 -0.08445396 0.00079868 -0.00503179 -0.10180219 -0.01386438 -0.0288607 -0.10477564 -0.08658459 0.12130593 -0.00590494 0.01154813 0.11175887 -0.15706074 -0.07304622 0.121404 0.01185041 0.11180239 -0.02185894 0.0018339 0.16881703 -0.00506573 0.06397083 -0.0887107 -0.12913032 0.09334761 0.00950728 -0.03423056 0.03651 -0.01261389 -0.01557732 -0.05721907 -0.00239783 -0.20363112 -0.08750748 -0.0047776 -0.01780252 0.01355765 -0.07101118 -0.02009343 0.07604927 -0.00901951 0.00307615 0.01075719 0.00806795 -0.0084557 -0.01258954 0.00600403 0.00289404 -0.01239515 -0.09679702 -0.00488568 -0.00781881 -0.0106156 -0.09134129 -0.15121996 -0.12293643 -0.02673379 -0.02174436 0.0723368 -0.01929462 -0.13256674 -0.02912183 -0.1397544 -0.00600384 -0.2319838 0.01050461 -0.00967585 -0.0008642 0.01738019 -0.1654804 0.10764821 -0.00525025 -0.17696089 0.00152602 0.06375629 -0.01695595 0.09400186 0.2213204 -0.03345377 0.03810051 0.01204692 -0.00682054 0.159963 0.03976145 0.22462101 -0.02218131 0.00868637 -0.00643285 -0.04562717 0.16554888 -0.10508025 -0.01196103 0.02903742 -0.1582014 -0.15926819 -0.0491906 0.16374151 -0.0069554 -0.00467572 0.02293865 0.00925856 -0.02713403 0.0923514 0.02905032 -0.15605359 -0.01943216 0.09488548 0.11971693 0.20362726 0.1469225 0.0156655 0.14617606 -0.05335115 0.00279523 -0.11574085 0.00830305 -0.00176722 -0.12986307 0.04819266 -0.072685 -0.01560265] Cos Similarity tf.Tensor(0.8758217, shape=(), dtype=float32) (128,) (128,) [-1.39328554e-01 -2.63321865e-02 -5.86874820e-02 -2.74538025e-02 1.96443219e-03 7.84963742e-03 7.67515507e-03 -1.74875297e-02 -2.61132815e-03 3.05050984e-03 6.92112520e-02 1.73267126e-02 4.39487667e-05 9.20910612e-02 -3.94367948e-02 -1.44753471e-01 -2.37691365e-02 -2.71562934e-02 -1.48248434e-01 1.57499999e-01 1.00355081e-01 1.54266819e-01 8.19703192e-02 5.70713244e-02 9.82113462e-03 9.91695467e-03 8.93198401e-02 -1.82844028e-02 -1.40726760e-01 -2.03563482e-01 -1.13646440e-01 7.79957622e-02 -4.79704089e-04 -2.71238536e-02 -5.73703609e-02 3.65361571e-03 1.47380738e-03 2.11887881e-02 -6.50981627e-03 -5.50219649e-03 6.12726659e-02 -2.61263433e-03 -1.24781963e-03 -6.04796875e-03 -1.13505170e-01 1.87703863e-01 -5.18164271e-03 2.45904271e-03 -6.63946103e-03 1.83684938e-02 1.10567966e-02 1.10149700e-02 2.73171347e-03 6.36470504e-03 -1.54796187e-02 1.99873932e-02 -1.69471353e-01 -1.59528907e-02 8.67221039e-03 1.14855254e-02 5.45741171e-02 -7.00383931e-02 -1.10825934e-01 1.28392214e-02 5.85960448e-02 1.65990338e-01 -2.11413042e-03 -1.40143782e-01 1.04007339e-02 1.87507182e-01 6.13936819e-02 1.63101375e-01 1.66579697e-03 2.72199139e-03 8.94810446e-03 -1.91266555e-02 5.41625209e-02 2.00763419e-01 6.69281930e-03 1.12077810e-01 -1.96567252e-02 -1.75243728e-02 5.54925471e-04 -7.82003403e-02 -1.63961411e-01 1.44389987e-01 7.65874460e-02 1.31560601e-02 -1.32781954e-03 -1.91765785e-01 2.56419051e-02 -2.13016905e-02 1.51829785e-02 1.89155340e-02 -2.07319204e-03 1.52689338e-01 1.79228678e-01 -3.63532789e-02 4.45440039e-03 -5.53685315e-02 -4.09513749e-02 2.35654265e-01 -9.75683182e-02 -2.13417798e-01 2.24850816e-03 -2.08248626e-02 1.05027296e-01 -1.37096737e-02 7.61573960e-04 -9.27052647e-02 1.21662915e-01 1.89425007e-01 1.58662663e-03 2.77868030e-03 -6.15055626e-03 -2.22671062e-01 -1.99125499e-01 -2.65467656e-03 3.15595493e-02 1.10516045e-02 -6.46863738e-03 -3.19255851e-02 2.51063164e-02 -3.23697664e-02 -2.03713521e-01 -2.62178145e-02 -2.92611960e-02 -1.66074950e-02] [-3.37806121e-02 -1.43125340e-01 -2.68809460e-02 1.80017367e-01 1.06552420e-02 1.42963221e-02 -1.53787404e-01 -1.54286817e-01 -2.54637506e-02 8.17936845e-03 1.41558191e-02 1.92333329e-02 1.73465032e-02 1.50033966e-01 8.20038319e-02 1.34041578e-01 -2.57506757e-03 1.00002706e-01 8.40905979e-02 6.33411109e-02 1.17267616e-01 1.63390055e-01 -5.97298704e-02 -1.74131855e-01 -1.03922421e-02 1.64909381e-03 4.89921495e-02 -6.44257385e-03 -1.43657237e-01 -1.53990597e-01 -1.69402063e-01 1.26847818e-01 -4.84340899e-02 3.07039227e-02 9.76445712e-03 5.26346862e-02 5.75332390e-03 3.71296369e-02 -1.56416856e-02 -4.51803356e-02 2.05108121e-01 2.68809195e-03 -4.47366736e-04 -1.81774923e-03 9.33766142e-02 1.32593825e-01 6.60012215e-02 2.57406128e-03 6.33897539e-03 1.02451164e-02 8.15576874e-03 5.96664939e-03 7.13010877e-03 5.08313393e-03 8.44521075e-03 3.78862545e-02 -1.82052776e-01 -2.71352828e-02 8.91456380e-03 1.77459307e-02 7.53400922e-02 -1.03154354e-01 -1.45806029e-01 2.73762606e-02 -1.57092392e-01 -4.36407775e-02 -5.71984565e-03 1.98264599e-01 1.44832833e-02 1.30721480e-01 1.90894548e-02 1.78914189e-01 -1.11946417e-03 1.99147556e-02 1.02421669e-02 2.38576382e-02 -1.59434557e-01 -1.25800446e-01 -1.34023046e-02 1.42036006e-01 -1.02196625e-02 -3.02244490e-03 1.05132960e-04 -1.01836249e-02 7.14774355e-02 1.73581958e-01 -2.00196221e-01 1.67364888e-02 3.15673882e-03 2.18668822e-02 1.34425431e-01 -1.25245810e-01 1.62661336e-02 2.80229654e-02 -4.30469261e-03 3.52346897e-02 1.13377646e-02 3.65992785e-02 2.42834240e-02 1.64401352e-01 2.59026084e-02 6.02536201e-02 3.02593987e-02 1.63966537e-01 5.79069462e-03 -1.93156227e-02 -1.21028043e-01 4.14938014e-03 1.25099504e-02 -2.65367310e-02 2.14488674e-02 1.36567593e-01 1.64855085e-02 -1.21821098e-01 7.87003373e-04 -1.74441919e-01 -1.82817161e-01 1.51405195e-02 -1.54313371e-01 2.29673944e-02 6.00745494e-04 -8.50124806e-02 3.18277953e-03 1.93695386e-03 -5.81339598e-02 -1.31852971e-02 5.67529313e-02 1.10186953e-02] Cos Similarity tf.Tensor(0.25697112, shape=(), dtype=float32) (128,) (128,) [ 0.12753002 0.11665728 -0.09976573 -0.06121719 0.00958517 -0.04896154 -0.10594526 0.02447626 -0.00688805 -0.01181776 -0.14678524 -0.00596641 -0.00352055 0.16542733 -0.049714 -0.00512119 0.00257048 -0.0413218 -0.02129821 0.03719793 0.15832964 0.15148297 -0.01364188 0.01292774 -0.00511323 -0.00181792 0.16803835 -0.00790166 0.14542457 0.17614406 -0.11641935 0.13364646 -0.01011404 -0.00410033 -0.16691275 -0.04562977 0.00388481 0.06290787 -0.01504437 -0.19132738 -0.09209885 0.00126613 0.00485468 -0.00665408 0.13721299 -0.1491553 0.01536291 -0.00600959 -0.0016266 0.00649314 -0.00027476 0.00328826 -0.01899619 0.0025871 0.00429085 0.01160127 0.18700223 -0.01229815 -0.00215595 -0.01168974 -0.07196051 0.13007112 -0.12289459 -0.00408381 0.00594145 0.10764177 -0.01368885 -0.12161228 0.00385824 -0.13661812 -0.08722472 -0.09351248 -0.00376035 0.00440377 0.00369274 0.00371043 0.06684923 0.01523997 0.00848189 0.19706821 -0.00725987 0.0005188 0.00072037 0.00200586 -0.17357321 0.02974862 0.20924094 0.01030873 -0.00547648 -0.03492583 0.0225436 -0.14143862 -0.0183198 0.00381978 0.00123881 -0.04500718 0.16123785 0.0727187 -0.00674233 0.01433099 -0.07920077 -0.05830509 -0.25371075 -0.15212971 -0.01922914 0.00078316 -0.07567642 -0.01291168 -0.00863675 0.16071917 0.15604039 -0.14199832 -0.00463151 -0.20943974 -0.05255517 0.12918815 -0.09153149 0.00162425 -0.14180739 -0.00223667 0.00912874 -0.06584154 0.01248445 -0.03435663 -0.12108812 0.05028274 0.09070948 -0.00132338] [ 7.25372583e-02 -6.30348250e-02 4.67315949e-02 2.36605015e-02 -6.89302338e-03 6.02857023e-02 -4.98709232e-02 -4.90333326e-02 -1.84719486e-03 -1.41764255e-02 1.01448476e-01 -1.01694176e-02 -9.05558653e-03 1.63700044e-01 1.35649785e-01 -1.16730124e-01 -1.06891440e-02 2.11672392e-03 9.34234411e-02 -1.35793865e-01 -1.68803260e-01 1.52579114e-01 -4.81978096e-02 2.65811011e-02 -3.09514813e-02 3.54837021e-03 1.97644755e-01 3.45904380e-03 9.79269017e-03 -1.30923567e-02 -2.06012249e-01 -1.36085108e-01 1.09181255e-02 -5.77830477e-04 1.87901333e-01 4.13664943e-03 -1.09870750e-02 8.12565014e-02 -4.07333113e-03 1.53035317e-02 -1.20609663e-01 -1.33030331e-02 -9.98985860e-03 3.15787503e-03 1.38785854e-01 -3.00996210e-02 7.78165013e-02 -8.40810407e-03 4.40760003e-03 -8.04255810e-03 4.30438481e-03 3.72581324e-03 -1.97184086e-02 3.72738787e-03 2.99650081e-03 4.91647515e-03 1.90461531e-01 1.12363789e-03 3.78544489e-03 -1.66914724e-02 7.18438476e-02 -9.42104980e-02 2.01801315e-01 -7.05476105e-03 -3.62082534e-02 1.79407761e-01 -6.61239587e-03 2.08219010e-02 -1.64273325e-02 1.25603586e-01 -6.06733337e-02 -1.22468002e-01 -1.06975890e-03 4.59587714e-03 -4.11041081e-03 1.13877114e-02 1.77006289e-01 -1.75163716e-01 2.04626285e-03 -1.12464301e-01 -4.08091210e-03 -3.04203928e-02 2.90526287e-03 1.27007574e-01 7.37108104e-03 6.94061816e-02 -6.07527904e-02 7.96608254e-03 -9.70056653e-03 -8.05436447e-02 1.92400649e-01 1.52450547e-01 -7.97756761e-03 3.47610004e-03 -7.11684395e-03 -2.30446622e-01 4.18363102e-02 5.94694316e-02 -5.99310640e-03 -2.25657538e-01 -1.56312421e-01 -9.08136293e-02 1.08027413e-01 -4.66157235e-02 -2.66816560e-02 -4.80961706e-03 1.33654952e-01 8.12742859e-03 -3.06808800e-02 7.23423809e-02 1.79937538e-02 -1.02979327e-02 -9.27067921e-03 1.23615429e-01 -3.38767492e-03 -2.15466335e-01 1.92796320e-01 -1.31752379e-02 8.05460215e-02 -3.71138230e-02 2.90133152e-03 -7.08831325e-02 4.75082925e-05 -2.11893301e-02 1.38556987e-01 1.60851255e-02 -4.22897600e-02 -2.56562722e-03] Cos Similarity tf.Tensor(-0.06537527, shape=(), dtype=float32) (128,) (128,) [ 1.37928784e-01 -8.53656456e-02 -2.99888235e-02 6.40918612e-02 -4.20168682e-04 1.02807678e-01 7.02442080e-02 8.06318894e-02 2.55037658e-03 -2.40735547e-03 1.06160454e-01 1.49020227e-03 8.51895660e-03 1.32656336e-01 -5.61700724e-02 -2.07255542e-01 7.40006042e-04 -1.38090119e-01 -1.68542653e-01 -1.11490153e-01 3.97392288e-02 -1.26670703e-01 -5.25249988e-02 2.84693316e-02 1.91682915e-03 9.18001588e-03 -1.51351526e-01 5.73097356e-03 1.12292975e-01 1.63635507e-01 -1.34053782e-01 2.00721882e-02 -3.90931824e-03 1.05405468e-02 9.44445506e-02 -1.16197485e-02 -1.79761052e-02 1.92482173e-01 -5.05619077e-03 1.43147588e-01 1.01674497e-01 -1.29516693e-02 1.48175587e-03 -1.96343186e-04 8.96653756e-02 1.41751692e-01 -1.59882009e-01 -7.51075661e-03 1.90101634e-03 5.07787382e-03 3.28100496e-03 4.94917529e-03 -2.01012865e-02 2.74555571e-03 -9.26782191e-03 4.59122844e-03 1.76612467e-01 -1.64922059e-03 2.73588276e-03 -1.37739728e-04 -7.57683963e-02 1.95595428e-01 -9.66628939e-02 1.39906630e-03 6.11935854e-02 6.27570902e-04 4.25137952e-03 -5.40873269e-03 -4.82404372e-03 2.01614246e-01 6.17944123e-03 5.35394065e-02 4.63653635e-03 3.37218051e-03 2.53956020e-03 6.45469502e-03 -9.34725627e-02 1.67524457e-01 7.04196468e-03 1.44967452e-01 -3.10364943e-02 1.82095543e-02 2.80987634e-03 2.08062977e-02 -1.47886232e-01 -5.93168437e-02 9.78999361e-02 8.71572644e-04 -1.70518737e-03 -9.41230431e-02 1.05440408e-01 2.93067340e-02 7.89484754e-03 1.79379550e-03 3.11976974e-03 1.03932247e-01 1.26373693e-01 -5.37851593e-03 -4.65763686e-03 -7.57622644e-02 -5.70518002e-02 1.79475695e-01 1.97545364e-01 -1.12888180e-01 -1.36379907e-02 -1.05423341e-02 2.23953679e-01 1.34060141e-02 -1.03276465e-02 -1.33107856e-01 -1.57538787e-01 -6.51348606e-02 -2.68018879e-02 1.23308167e-01 -6.91222772e-02 -1.51758030e-01 1.43668935e-01 -2.68918648e-03 -1.54350385e-01 -1.06237950e-02 -9.60030407e-03 6.35270169e-03 8.17840640e-03 -1.37351342e-02 8.72502699e-02 -1.81187540e-02 -1.27704978e-01 -7.42374640e-03] [ 1.21700997e-02 -1.40456125e-01 -6.34505451e-02 -4.01331037e-02 3.11160902e-03 -9.77111012e-02 -6.08284213e-02 -5.30553684e-02 6.86637172e-03 -5.49191749e-03 -6.15581758e-02 -2.39155884e-03 1.05224624e-02 1.40246928e-01 3.84575762e-02 -1.53748184e-01 3.65328300e-03 -8.79455730e-02 6.71373829e-02 3.80425900e-02 4.01153378e-02 -9.77087542e-02 1.20591015e-01 -1.64315347e-02 3.33418767e-03 4.15853318e-03 6.04560599e-02 -1.68433518e-03 3.93873975e-02 1.26705900e-01 -2.19618529e-01 1.93339124e-01 -1.24198012e-03 6.55844063e-03 8.56329203e-02 -2.88430182e-03 -2.07466185e-02 5.63939698e-02 4.50363877e-04 2.45849658e-02 -4.24114093e-02 -1.82273202e-02 1.82822783e-04 1.58835400e-03 -2.92112585e-02 2.05097169e-01 4.74139340e-02 -5.31490240e-03 2.58829119e-03 8.20479076e-03 3.57688032e-03 7.37758121e-04 -4.10135686e-02 2.72048055e-03 -1.13382237e-02 5.50905243e-03 1.04381062e-01 -1.27686944e-03 6.31652866e-03 -1.61868730e-03 -1.08730733e-01 -5.43369800e-02 -1.24479368e-01 2.42154556e-03 -1.87597759e-02 4.71076518e-02 1.12768856e-03 -4.35051583e-02 -6.89608557e-03 1.85163125e-01 -4.59776632e-02 1.41278654e-01 -5.05766075e-04 2.56346236e-03 -4.74632281e-04 7.24284537e-03 1.22354262e-01 1.73955262e-01 4.56376141e-03 8.35687295e-02 -2.19996665e-02 5.37601858e-03 5.62476646e-03 6.91091493e-02 -2.21116632e-01 1.90060198e-01 1.76513299e-01 8.19698675e-04 1.02378579e-03 8.94190148e-02 -3.52992751e-02 -2.36170404e-02 6.93661207e-03 5.31311845e-03 4.60541481e-03 2.04078197e-01 -9.44914669e-02 -2.08979174e-01 -5.90547873e-03 -4.67626639e-02 8.22318569e-02 2.23858714e-01 1.87191114e-01 -1.22213043e-01 -9.62016359e-03 1.53381461e-02 2.25545332e-01 2.94901023e-04 -2.36572741e-04 -1.71459541e-01 3.58134769e-02 -9.98944342e-02 -1.78435836e-02 -1.52384788e-01 -2.12479606e-02 -1.24237221e-02 1.76947489e-01 -9.45236813e-03 1.40073732e-01 -5.98933687e-03 -2.46742670e-03 1.07458860e-01 7.12649385e-03 -2.20359247e-02 -1.77412897e-01 3.84793989e-02 -3.01301740e-02 -9.78052244e-03] Cos Similarity tf.Tensor(0.41031832, shape=(), dtype=float32) (128,) (128,) [-4.67736237e-02 5.49668334e-02 -4.67721820e-02 -3.83185484e-02 -3.93917896e-02 7.02725304e-03 -1.08362108e-01 -2.14054644e-01 4.06677322e-03 -1.18553080e-03 -2.19502553e-01 -9.05404333e-03 8.95294826e-03 -1.51542455e-01 5.85893057e-02 -1.26201138e-01 -3.44691705e-03 -1.31151110e-01 1.99875057e-01 3.53323226e-03 3.42130885e-02 -1.38940200e-01 6.23117499e-02 -1.37777277e-03 9.87036247e-03 1.00686692e-03 1.37382671e-01 -3.88680473e-02 8.24167505e-02 1.56064138e-01 -1.64956748e-01 7.97606856e-02 4.04122146e-03 -2.39970000e-03 1.02218255e-01 -1.56635381e-02 -1.19397044e-03 -1.48895919e-01 5.19049540e-03 -8.16420987e-02 -1.10866964e-01 -3.00778239e-03 -1.04275532e-02 -2.43044691e-03 -1.06648184e-01 1.51289135e-01 2.41558794e-02 2.78677000e-03 9.20180790e-03 -1.51850909e-04 6.08458323e-03 4.11237916e-03 -2.51800846e-02 3.05764633e-03 -1.49322879e-02 2.26018805e-04 -6.30969331e-02 4.27444419e-03 2.84568104e-03 -1.57453511e-02 7.98614174e-02 -1.06330901e-01 1.75609052e-01 -4.74998821e-03 -1.13253944e-01 6.02661306e-03 -2.07774900e-02 4.71396651e-03 -2.11770199e-02 -1.76990300e-01 3.05777416e-02 -2.72113159e-02 7.17986550e-04 2.58906202e-05 -4.63727862e-03 3.46734980e-03 1.12025686e-01 6.88324720e-02 -2.72048614e-03 1.90691072e-02 -1.37264784e-02 2.41496451e-02 2.15408416e-03 -2.01057151e-01 -1.03817299e-01 8.74925554e-02 7.75378868e-02 -1.56412646e-03 -3.00761010e-03 1.35198355e-01 8.85854885e-02 1.63897872e-01 1.42062933e-03 3.18482076e-03 3.99243814e-04 1.51181966e-01 -1.86799452e-01 -2.09222689e-01 -1.15963370e-02 7.25370422e-02 1.82003200e-01 1.68662250e-01 -6.78270217e-03 1.42125443e-01 -1.46781225e-02 -6.57028146e-03 1.55423135e-01 1.89612564e-02 -6.71523064e-03 -1.66448995e-01 -1.07118241e-01 -9.01243910e-02 -9.55806021e-03 1.94188934e-02 4.88322340e-02 6.54294267e-02 6.34298697e-02 -8.62778723e-03 7.10385889e-02 -6.67725457e-03 4.06497344e-03 2.03256249e-01 8.67349934e-03 -2.80627981e-02 -1.62903920e-01 3.35252658e-02 6.05430603e-02 -8.62966571e-03] [-0.04608001 -0.10928959 0.09595053 -0.02528088 -0.00571209 -0.03169532 -0.11112067 0.05559817 -0.00717536 0.00351655 0.05868623 0.0162915 0.00479184 -0.05335299 0.06479537 -0.16217157 0.00155419 0.15371658 -0.15729395 -0.14305331 -0.14585514 -0.00387566 -0.14996815 0.04492708 0.00977118 0.01252408 0.1721778 -0.02244999 -0.01447635 -0.1849466 -0.02913922 0.16541013 0.00603557 -0.04219604 -0.01679047 0.00981668 0.00669717 -0.15188316 -0.00380443 0.08652972 -0.02529545 0.00197086 0.00593544 -0.00150651 0.04048908 0.11025909 0.03264563 0.01441664 0.00038798 0.01726164 0.01172368 0.00936571 0.00798109 0.0076959 -0.00759094 0.01091768 -0.09030633 0.01400494 0.00174318 0.01906361 -0.12373755 -0.15996055 0.16253024 -0.00322818 -0.17428641 0.05968905 -0.00806502 -0.00447876 0.01244828 -0.16907856 0.09289337 -0.13863309 0.00355186 0.00715228 0.00393191 -0.0214944 -0.13827296 0.04219687 -0.00347661 0.15509339 -0.00577864 -0.0782138 -0.01039163 0.12513526 -0.17689903 0.16016719 -0.17776294 0.01002271 -0.01287036 0.13384147 0.09425292 -0.02698361 -0.00655024 0.01228601 -0.00357593 0.13662803 -0.03261594 -0.12577504 0.00815435 0.20266125 0.19069558 0.07555198 -0.17356092 0.15508126 0.0168088 -0.00669088 0.11052137 -0.00621039 0.01480251 -0.10460912 -0.1552155 -0.12827331 0.01852269 0.07448042 0.08386791 -0.08869264 -0.14381494 0.00291004 0.17820613 0.02315387 0.00707112 -0.04220027 0.02800393 0.00188424 0.03385333 -0.00551103 0.00063651 0.00182778] Cos Similarity tf.Tensor(0.27968228, shape=(), dtype=float32) (128,) (128,) [ 0.02221187 0.19912024 0.0284451 -0.13502444 -0.01303811 -0.04896743 -0.07766079 -0.17364486 -0.00104639 -0.00125149 0.00448469 -0.01940034 0.01890941 -0.04439296 0.15435126 0.06430386 0.01041152 0.15984036 -0.0299194 -0.01368115 0.0638542 -0.11281817 -0.1130107 0.03168839 0.01163585 -0.0072483 0.06590772 0.00209604 0.10926398 -0.09203757 -0.19477716 0.06083075 0.00987794 0.00418671 -0.10190216 0.00336226 -0.0121366 0.1294495 -0.00384544 0.06705061 -0.11966075 -0.00742844 -0.00614189 0.00479529 -0.14277467 0.13118064 0.13188794 0.00873004 0.01696404 0.02439641 0.00552397 0.00623353 -0.00228791 0.00910859 -0.00660486 0.00157146 0.10549854 0.00404943 0.01029405 0.00113579 0.09365546 -0.03606575 -0.13202262 0.00506145 -0.13292244 -0.03764551 -0.01037366 -0.06101386 -0.00407888 -0.17362253 -0.13346814 0.16677973 0.00319422 0.01367996 0.00343781 0.01461256 0.16463494 -0.1773973 0.00461904 0.10342149 -0.00327815 0.00243216 0.00359071 -0.17513889 -0.00338987 -0.13481618 -0.09199817 -0.00171942 0.00350077 0.01510735 -0.04933506 0.1743412 -0.00150683 0.01259088 -0.01015392 -0.13095696 0.14523946 0.02457158 0.00135427 0.18683816 0.1417613 -0.13791862 0.02092203 0.13250905 0.00097947 -0.02181959 0.19762164 0.0135968 0.0119378 -0.10860515 0.14322057 0.02041913 -0.01516264 -0.11187214 -0.10903457 0.18480685 -0.16338389 -0.012363 0.13926303 0.01275341 -0.00718514 0.02005248 0.01697981 -0.02458806 -0.15498267 0.06954505 -0.09066334 -0.00142412] [ 7.26660043e-02 1.65045202e-01 -1.85368471e-02 -1.61274537e-01 -2.49195285e-02 -6.89688921e-02 1.30244894e-02 -2.07751051e-01 6.65345695e-03 -8.96586280e-04 -9.71506909e-02 -6.22905092e-03 1.65912807e-02 -8.10545906e-02 1.40779510e-01 -1.90613139e-03 -5.94763830e-03 2.23643392e-01 6.66885972e-02 -1.81749657e-01 1.18352592e-01 3.33272479e-02 -4.62774746e-03 1.54174538e-02 4.34712414e-03 5.45094116e-03 8.71411636e-02 -8.32493231e-03 -7.57052973e-02 2.24894375e-01 -2.26059139e-01 6.70342296e-02 1.01871481e-02 -9.68366396e-03 1.62185401e-01 2.46595740e-02 8.00574943e-03 1.00551117e-02 -8.33359174e-03 -6.83092475e-02 2.14525238e-01 -4.75848932e-03 2.90224823e-04 1.65901724e-02 -1.70886591e-01 -1.27799287e-01 1.74009874e-02 1.27002969e-02 1.26665812e-02 7.12945592e-03 8.73065088e-03 3.05295223e-03 -6.62502786e-03 5.34024276e-03 -1.09849572e-02 1.55232067e-03 9.50047299e-02 -2.03328091e-03 2.05469638e-04 1.05957221e-02 -8.08855891e-02 -1.20694414e-01 9.38134417e-02 2.72959063e-04 -1.81975439e-01 1.22026242e-01 -8.12189002e-03 -6.21508993e-03 -1.42944632e-02 -5.35187833e-02 -1.21529013e-01 -9.77573618e-02 5.82909165e-03 7.45943980e-03 -4.25624801e-03 7.82847963e-03 8.47175419e-02 -1.11605674e-01 2.26399396e-03 1.54433176e-01 9.28115449e-04 1.09833432e-03 1.58804022e-02 -1.46591306e-01 -1.41799986e-01 -5.84213883e-02 -1.33270800e-01 1.30056113e-03 4.44443943e-03 -5.11152390e-03 7.99012482e-02 5.56567162e-02 -1.39088766e-03 1.93236896e-03 6.52599940e-03 1.32727697e-01 -8.90953653e-03 -2.54140254e-02 7.10909581e-03 1.46067157e-01 2.64092460e-02 2.98100170e-02 -5.19093871e-02 -6.95824698e-02 -8.20421427e-03 -9.46714915e-03 1.88249603e-01 2.69886106e-02 4.53373184e-03 -1.32371083e-01 1.57306686e-01 2.01304153e-01 -1.55717053e-03 3.07916272e-02 -3.98964696e-02 1.64760083e-01 -1.45570025e-01 -1.28549831e-02 -2.92555392e-02 1.15126586e-02 -4.43060417e-03 1.50143459e-01 1.96912270e-02 -1.14048235e-02 -1.56766891e-01 7.02194646e-02 -7.32880905e-02 -9.49574728e-03] Cos Similarity tf.Tensor(0.44365454, shape=(), dtype=float32) (128,) (128,) [ 2.10155576e-01 1.92471258e-02 3.61735970e-02 -1.05266988e-01 7.12843845e-04 8.08420479e-02 5.93366399e-02 1.24103993e-01 -7.48096127e-03 -1.12402840e-02 1.65089853e-02 -1.80355422e-02 -1.45700686e-02 3.66850644e-02 1.04664162e-01 1.20470129e-01 -7.84602668e-03 -4.56035919e-02 -1.29046261e-01 -9.02855322e-02 -1.43005639e-01 -4.32230048e-02 8.01413283e-02 1.14783198e-01 -1.81477237e-02 9.55570431e-05 -1.38959453e-01 -9.97045543e-03 1.77499533e-01 1.05078317e-01 -5.72311431e-02 -1.09977506e-01 -2.09486708e-02 -2.38296241e-02 -7.22768083e-02 -4.90040099e-03 -2.96054240e-02 9.63219255e-02 -2.64022895e-03 -1.55196398e-01 9.80681330e-02 -5.64118288e-03 -3.06923001e-04 -5.14947670e-03 -1.31413251e-01 -2.10574850e-01 -1.67127222e-01 1.41560473e-03 2.76594469e-03 1.33489454e-02 6.98853564e-03 -1.45482627e-04 -5.55192865e-03 8.99415580e-04 -8.83585121e-03 3.16503458e-03 -1.74104020e-01 7.15971459e-04 8.97615217e-03 -9.45440773e-03 4.17267159e-02 -2.12304458e-01 1.58976704e-01 -4.09088004e-03 1.99176773e-01 3.77558544e-02 -2.81920144e-03 2.01903909e-01 1.68623345e-03 5.47786541e-02 -1.79370672e-01 8.71702358e-02 1.28431828e-03 4.94566979e-03 -2.00347304e-02 1.68227460e-02 -1.12345824e-02 2.01301217e-01 2.96143955e-03 -7.85983950e-02 -6.61444990e-03 -1.12677692e-02 -3.68482876e-03 8.95883590e-02 -1.84753209e-01 1.58560604e-01 3.12067401e-02 1.25995800e-02 -2.26399023e-03 -4.93000746e-02 -5.52409813e-02 1.74642578e-01 1.49371568e-02 1.29347285e-02 -6.98189996e-03 -2.06595495e-01 4.69584651e-02 1.20210620e-02 -3.55477328e-03 1.08939350e-01 -1.08033031e-01 6.23674132e-02 1.67597055e-01 1.10535897e-01 -1.06958635e-02 -6.88599283e-03 -1.78927749e-01 -9.37601365e-03 -1.04703251e-02 -2.42448933e-02 2.84423959e-02 1.86226647e-02 -1.14536816e-02 3.36957425e-02 1.79022942e-02 -3.12403664e-02 1.60175711e-01 -4.83062677e-03 1.32905588e-01 -3.27909961e-02 3.14525701e-03 -1.42910048e-01 1.53504265e-02 -7.45902478e-04 7.13140219e-02 4.90902178e-02 2.98503134e-02 -2.13516690e-02] [-5.61510734e-02 1.16642244e-01 -3.31530138e-03 -2.39281319e-02 9.68701486e-03 -1.79525167e-02 -1.09367967e-01 3.59702371e-02 -7.80597143e-03 -8.12331680e-03 -1.43075183e-01 -8.49384069e-03 9.28004459e-03 -6.37167916e-02 1.08354270e-01 4.51540994e-03 8.10322631e-03 2.47836374e-02 1.95776761e-01 3.00739948e-02 -1.59277573e-01 -1.51602969e-01 8.78162906e-02 1.01180181e-01 5.04619209e-04 -1.95771176e-03 8.71626660e-02 -1.58687532e-02 1.96502239e-01 1.32786691e-01 -7.99940452e-02 1.76943779e-01 -1.35712959e-02 -1.42759746e-02 -5.54911233e-02 -3.13163809e-02 2.85341265e-03 6.60201162e-03 9.37794030e-05 -6.56147748e-02 1.81689635e-01 -6.48408756e-03 -6.62210491e-03 -1.51994629e-02 -1.18515313e-01 5.80660477e-02 1.05635129e-01 3.97925684e-03 1.22703668e-02 5.07460162e-03 6.23826124e-03 5.74763399e-03 -2.96476241e-02 1.08173816e-02 -1.59796551e-02 1.59760099e-02 9.68478024e-02 -3.07974266e-03 3.44933663e-03 3.76394973e-03 1.16211377e-01 -1.83596477e-01 -1.95393506e-02 1.07219955e-02 -1.22199796e-01 6.48467662e-03 -1.42389182e-02 1.47885084e-01 1.90041354e-03 -8.50295126e-02 -2.21309960e-02 1.38231859e-01 -6.64654421e-03 -1.24492461e-03 -1.90541130e-02 1.22580091e-02 1.95922107e-01 1.95587471e-01 1.40951516e-03 -2.77687330e-02 1.01081841e-03 -7.08101317e-03 1.60980169e-02 4.76751998e-02 -5.87600581e-02 7.37025365e-02 2.11880371e-01 5.05585363e-03 -4.18370590e-03 -5.47895916e-02 1.17964059e-01 8.49910825e-02 1.43690081e-02 1.33603057e-02 -3.89146502e-03 -2.79346388e-02 1.87509030e-01 -1.79549739e-01 -3.04664392e-03 6.19146824e-02 1.84600145e-01 1.20043203e-01 1.93253979e-01 1.76859170e-01 -3.21028824e-03 -2.70991260e-03 -1.14316002e-01 1.28497798e-02 6.47056988e-03 -1.50569737e-01 9.86076072e-02 4.45632115e-02 3.94418929e-03 -1.60310909e-01 -2.38810685e-02 7.78194070e-02 2.23435357e-01 -5.88255608e-03 -2.33555455e-02 1.43900895e-02 -7.76717300e-03 -8.18985328e-02 1.60286780e-02 -2.19160486e-02 -2.03272581e-01 -1.69965625e-02 -5.43197729e-02 -7.96412490e-03] Cos Similarity tf.Tensor(0.28840846, shape=(), dtype=float32) (128,) (128,) [ 0.14899284 0.03631381 -0.12589096 0.03119904 -0.01588967 -0.06408987 -0.03164051 -0.17023966 0.00495085 -0.00367226 -0.1884262 0.00717606 -0.00174398 -0.15338193 0.05482556 -0.12405672 -0.00194048 -0.16843353 0.20599431 -0.06149773 0.02423972 -0.19035085 0.06519646 -0.00180733 0.01725761 -0.00056407 0.12303667 -0.0215766 0.08823742 0.18491566 -0.20038916 0.06945831 0.00845525 0.01051077 0.04434666 0.00519523 0.01409207 -0.00451047 -0.01016876 -0.08079624 -0.13415481 -0.01003003 -0.00721073 0.00056015 0.04168447 0.12116241 -0.00082913 0.00284193 0.00869972 -0.00221551 0.00408281 0.0058005 -0.00969683 0.00398326 -0.00440568 0.01020798 -0.06163632 -0.00041655 0.01610575 -0.00061824 -0.008809 -0.11654407 0.20913959 0.01571726 -0.11154947 0.04870054 -0.01933808 0.00371637 -0.00861916 -0.17018646 0.03010225 -0.10201184 0.00606263 0.00560279 -0.00724011 0.01253145 0.03837965 0.02375081 -0.00316935 0.11067203 -0.0154412 -0.02132753 0.00631225 -0.13536614 -0.07995705 -0.08977909 0.14445393 0.00894907 0.00739452 0.1418494 0.00780993 0.16736713 0.00968466 0.01942414 -0.00760016 0.1523556 -0.23376265 -0.17642014 -0.00444915 -0.00703702 0.19602114 0.21481402 0.04635408 0.14294724 0.0019312 0.01060137 0.12009239 0.01408707 -0.00331597 -0.17867145 -0.15082201 -0.03176672 0.00203516 0.05518681 0.0507837 0.03978705 -0.04397037 -0.013067 -0.02111486 -0.00944794 0.00288998 0.07065822 0.01490206 -0.01111108 -0.20690088 0.07307626 -0.00425916 -0.01565683] [-1.08052470e-01 1.03020407e-02 6.49480969e-02 -8.90916586e-02 -6.12598984e-03 1.24685802e-02 -4.85850945e-02 -1.88770922e-04 -6.04088651e-04 2.72644497e-02 -2.34276965e-01 1.50997294e-02 2.79838797e-02 -9.70653296e-02 1.15935698e-01 1.20888427e-01 5.02618067e-02 1.30074844e-01 -1.90211984e-03 -4.09804061e-02 -1.83613136e-01 -1.86353013e-01 -5.74730411e-02 3.36185507e-02 3.56473960e-02 6.59351982e-03 1.56773515e-02 -1.10189430e-02 -1.62482131e-02 1.64187104e-01 -1.22841910e-01 -9.68235731e-02 8.53787810e-02 4.97107692e-02 -2.40195245e-02 2.83408985e-02 4.75419424e-02 -7.58275241e-02 -5.50171584e-02 6.78941905e-02 -4.81032841e-02 1.15918145e-02 -1.11207727e-03 1.17468443e-02 4.47096564e-02 4.90556099e-02 2.03356408e-02 7.05359802e-02 4.33329195e-02 -5.10218460e-03 1.32238884e-02 3.94708477e-03 6.66372031e-02 2.48237327e-02 5.32569885e-02 3.34485620e-02 -5.46059944e-03 -1.25274397e-02 7.28482241e-03 3.31638195e-02 1.41196102e-01 1.14804946e-01 1.88685432e-01 4.58007455e-02 -1.42111033e-01 1.43525317e-01 1.55038647e-02 8.99481252e-02 3.82529236e-02 -1.04782686e-01 4.55098227e-02 6.95292726e-02 -2.12596022e-02 -3.57378796e-02 1.76684260e-02 6.24626465e-02 -8.98602232e-02 2.80420408e-02 -1.75766721e-02 -1.16044171e-01 5.81733324e-03 -2.26945393e-02 9.72027052e-03 1.92603007e-01 -1.18073918e-01 -6.58307318e-03 -1.69107288e-01 3.29067074e-02 1.13909096e-02 1.52301967e-01 3.06712631e-02 2.05764353e-01 3.44718918e-02 1.29479794e-02 1.86205059e-02 1.60262078e-01 6.80021793e-02 -1.46243557e-01 6.27470808e-03 1.26094952e-01 2.14682266e-01 -9.38108414e-02 1.33387476e-01 1.63807213e-01 2.82763429e-02 2.76090279e-02 2.17354923e-01 4.25873790e-03 4.41222899e-02 -2.37595782e-01 -1.09226428e-01 6.07994013e-02 2.66425312e-02 3.72552965e-03 -2.16217921e-03 1.63484350e-01 9.73447561e-02 -1.16242822e-02 5.30569907e-03 8.92992504e-03 3.78931058e-03 8.34466740e-02 3.99081632e-02 3.29175289e-03 -1.64423421e-01 -1.79133937e-03 5.68652200e-03 4.63429140e-04] Cos Similarity tf.Tensor(0.3656907, shape=(), dtype=float32) (128,) (128,) [ 0.13628703 -0.08422084 0.06143467 0.0222277 0.00384676 -0.01408388 -0.03679685 -0.037653 0.00575738 -0.01341851 -0.23409022 0.02150914 0.01777462 0.1688337 0.02819216 -0.14643875 0.01260071 0.0980614 -0.1680662 0.01360192 -0.06996261 0.06234773 0.09380337 0.10304661 0.0188139 0.00106057 0.22001657 0.02113004 -0.06674855 0.1139135 -0.21100695 -0.1761937 -0.03729257 0.00990428 -0.18996148 -0.00235156 0.01553795 -0.08831649 -0.00474959 0.02604761 0.1075201 -0.00541591 0.00047171 -0.00503188 0.2201793 0.17949587 -0.04662721 0.00371482 0.00046523 -0.00133871 0.00309422 0.00390348 0.0025307 0.01442065 0.01567475 0.01776381 -0.00329187 0.0057472 -0.00166075 0.00625246 0.03001738 0.14868836 -0.01033227 0.00107181 -0.20410386 -0.09112971 -0.00633695 0.07128599 0.0028818 0.16912122 -0.14992024 0.12693352 0.00961981 0.00406691 -0.00253929 0.01638521 0.18591675 -0.00374803 -0.00077736 0.04100557 0.01320327 0.00607077 0.01493618 -0.07524141 -0.09479975 0.01762079 0.16360171 0.00514037 -0.00175531 -0.08670886 0.01153399 -0.12574427 0.00482575 0.01876383 -0.01037223 0.13280208 -0.06903137 -0.21461913 0.00691538 0.10477704 -0.10371235 0.00905503 -0.16780518 0.02853692 -0.00263616 0.02375977 -0.04473562 0.00816889 0.02222731 0.19049951 -0.13633619 0.06958304 0.00637284 -0.0579647 0.01843694 -0.15801209 -0.06167397 0.01037029 -0.00902435 -0.01945029 -0.00470888 -0.09949455 -0.02491442 -0.02769564 -0.18801817 0.01159444 -0.00090038 0.0035279 ] [ 0.18888168 0.16385992 0.02986853 -0.02528084 -0.00131839 -0.06718848 -0.01785692 0.18889962 -0.00325859 -0.00561562 -0.13062195 -0.00023153 0.00559121 0.05337641 0.0261023 -0.179914 -0.00651811 -0.12799221 -0.04882443 -0.07283187 -0.10735552 0.09958222 -0.08472503 -0.02909927 0.00280937 -0.00133231 0.18742503 0.00717674 -0.1915231 0.15986115 -0.0756764 0.13582988 0.01014438 0.00649604 0.09985402 0.01469759 -0.0053665 0.12145501 -0.00431887 -0.0032452 -0.04844721 0.01177842 -0.00364837 0.0127754 0.2218622 -0.19183208 -0.16030523 -0.00600764 0.00190434 -0.00046544 0.00328897 0.00082831 -0.00881252 0.00950212 -0.00365225 0.01625763 -0.0323828 -0.00046468 0.00277476 -0.00408947 0.20610641 -0.08370665 -0.06361046 -0.0084495 0.04399418 0.16887443 0.00050192 0.14586116 -0.00857968 0.04922898 -0.11097175 0.15712218 -0.004709 0.01344752 -0.01457521 0.01521085 0.17558123 -0.157174 -0.00159146 0.00194374 0.0050423 -0.00294561 0.00765966 0.09974157 -0.07190275 -0.08328499 0.03665113 0.01376442 0.00361522 -0.1629019 -0.15422194 -0.0597638 -0.00037815 0.00328597 0.002669 0.11472153 0.151728 -0.18621871 -0.0180708 0.09311578 0.16614623 0.04612637 -0.10465973 0.11519466 -0.00453946 0.01269889 0.05807777 0.00281174 0.00121388 -0.16294797 -0.12077388 -0.02613009 0.00268092 -0.08569412 -0.03133402 0.17999306 -0.05406605 -0.01227648 0.02048148 -0.01872449 -0.00799156 0.01650817 0.00903531 -0.01887951 -0.1401657 0.01126719 0.05281217 -0.01951016] Cos Similarity tf.Tensor(0.25016797, shape=(), dtype=float32) (128,) (128,) [-1.42795220e-01 -1.56067656e-02 -1.80729963e-02 -1.79562435e-01 -1.08720008e-02 8.23372528e-02 2.02125371e-01 2.17183188e-01 -5.21468604e-03 -1.37235904e-02 -1.90989792e-01 2.96728220e-03 -1.25907743e-02 1.14947379e-01 2.11186092e-02 -2.10910559e-01 -7.42632197e-03 4.68392298e-03 7.88021609e-02 -1.53417036e-01 -2.66876873e-02 -2.67647970e-02 2.43127923e-02 5.21141738e-02 -2.11855303e-02 -2.17146589e-03 -1.83165953e-01 -1.65997483e-02 -7.24404864e-03 -2.23142877e-01 -6.72448128e-02 4.47140411e-02 -6.63527055e-03 -2.95085516e-02 1.70335039e-01 -2.79890019e-02 -1.37823159e-02 2.83620763e-03 -4.44010086e-03 3.33597325e-02 8.18449073e-03 3.78586561e-03 -4.62498888e-03 -1.95338540e-02 -8.36972892e-02 8.91797617e-02 1.62514180e-01 -1.82364527e-02 -3.77800479e-03 1.40354445e-04 1.05572417e-02 9.04081110e-03 -5.99378580e-03 1.38234056e-03 -1.63801741e-02 9.34999622e-03 -6.08064346e-02 6.03721617e-03 -1.99627634e-02 -3.73443333e-03 4.42600511e-02 -1.00716993e-01 1.62852421e-01 -7.43135018e-03 -1.29040644e-01 9.20412783e-03 -1.06633278e-02 -5.39773470e-03 -1.79445744e-02 1.48602515e-01 1.51451856e-01 -1.84496522e-01 3.14707193e-03 3.15263029e-03 -1.56610887e-02 -3.08982888e-03 -1.65547803e-01 -1.54681178e-02 -1.10488916e-04 9.52256769e-02 -1.86425801e-02 2.23553460e-03 -1.32230867e-03 5.18250875e-02 1.82987744e-04 -1.64687932e-01 5.83288409e-02 1.67613348e-03 -2.05459408e-02 1.66259184e-01 -2.05288306e-01 -9.28999931e-02 -8.45790934e-03 8.61555710e-03 5.49349235e-03 7.70676285e-02 -1.79410934e-01 -5.89003153e-02 -5.97668393e-03 1.68577898e-02 -6.64676651e-02 8.47110078e-02 3.08602601e-02 -7.12077096e-02 -1.78522877e-02 -1.08589903e-02 -1.38937518e-01 -7.47453002e-03 -3.72731760e-02 -5.43924421e-02 -1.21775776e-01 -1.44882306e-01 -1.94718484e-02 1.52344510e-01 3.14644091e-02 -1.84039414e-01 7.59354457e-02 -9.58850607e-03 2.40080386e-01 -1.58213079e-02 2.55452166e-03 1.04832642e-01 4.35359823e-03 1.72066651e-02 9.89950001e-02 -5.04028164e-02 5.29292114e-02 -6.13543624e-03] [-0.11743054 -0.01026695 0.00287447 -0.09671725 0.00217648 0.11682949 0.21520948 0.20311238 -0.00574433 -0.01061843 -0.18120219 -0.00159689 -0.01356339 -0.01410172 0.01564849 -0.1932719 -0.00099604 0.07790632 0.03232152 -0.1050333 0.11203454 -0.07914884 -0.08476522 -0.00768247 -0.00102507 -0.00282922 -0.12199959 -0.00974074 -0.13429621 -0.24491547 -0.16448814 -0.08585662 -0.01022275 -0.03967682 0.12584852 -0.02084458 -0.01006107 -0.0005027 -0.01571286 -0.1124666 0.08667415 0.00102237 -0.01867513 -0.02410465 -0.0785979 0.07733515 -0.01714074 -0.0208536 -0.00080199 0.00741294 0.01425939 0.01105359 -0.01871442 0.00425291 -0.01983972 0.01801924 -0.0540743 0.01477908 -0.01507018 -0.00739898 0.03108337 -0.19958332 0.1473977 -0.00639449 -0.09601354 0.12031845 -0.01424075 -0.05416751 -0.00515774 0.10809969 0.08562637 -0.2066411 0.00539874 0.00345478 -0.0091996 0.00513357 -0.17482527 -0.06247971 -0.00195277 0.171013 -0.00650398 0.01323592 0.00704614 0.01441038 0.0732481 -0.12390526 0.03140252 0.00331481 -0.01793608 0.04611407 -0.20360154 -0.05770003 0.00568758 0.01197877 0.00599032 -0.05671713 -0.16022764 -0.09930495 0.00956057 0.00436646 -0.10822504 0.08515741 0.09799125 -0.1458559 -0.01269198 -0.01218452 -0.08052918 -0.01019322 -0.03424058 -0.07798435 -0.07909615 -0.18078193 -0.00701432 0.13042769 0.07738702 -0.18665682 0.01619665 0.00718599 0.17998439 -0.03023458 0.00091791 0.09176349 0.01101884 0.02852261 0.18032706 0.11047732 0.06091511 -0.00108963] Cos Similarity tf.Tensor(0.83341825, shape=(), dtype=float32) (128,) (128,) [-1.91649094e-01 3.02899685e-02 8.58647004e-02 -1.23875231e-01 -7.50080170e-03 1.16391264e-01 -2.76669506e-02 2.34492607e-02 1.85213599e-03 7.51933362e-03 -1.10390656e-01 3.17531434e-04 6.02324679e-03 -7.22410390e-03 1.07181445e-01 -1.78033531e-01 4.74554999e-03 2.11139992e-01 7.40099326e-03 -2.59667356e-02 1.66834462e-02 -7.88369402e-02 9.04791206e-02 1.59312694e-04 1.64008290e-02 3.94819770e-03 -1.18656456e-01 -9.20462981e-03 -5.50016165e-02 -2.08289213e-02 4.07626256e-02 -6.99088648e-02 3.18303294e-02 -5.90531481e-03 9.76131931e-02 -2.87253223e-02 2.39714719e-02 1.48011610e-01 -2.69230399e-02 2.89650708e-02 2.85679121e-02 7.11785303e-03 1.87525828e-03 4.67865681e-03 -2.18160123e-01 1.95143297e-01 5.81293181e-02 1.77268051e-02 1.78882536e-02 1.92368273e-02 1.00495089e-02 4.11302288e-04 3.01127676e-02 1.71699412e-02 2.75006834e-02 -3.62970350e-05 -5.27373217e-02 -2.48816069e-02 2.91640125e-03 4.73019993e-03 2.31466681e-01 3.36972997e-02 1.67508543e-01 7.67632853e-03 -1.54996485e-01 4.98439111e-02 3.94369243e-03 -2.95960978e-02 2.29884423e-02 -1.63021103e-01 1.25648305e-01 -2.00319812e-01 6.05336274e-04 2.22590715e-02 1.79945529e-02 3.37470062e-02 1.39625773e-01 3.32168825e-02 -3.58418608e-03 5.77430837e-02 5.03705861e-03 -1.46322604e-02 6.65169815e-03 -1.85286418e-01 -1.65963322e-01 8.58694464e-02 -8.23123530e-02 2.23600864e-02 4.57183737e-03 -1.86143935e-01 2.20446065e-01 -2.07011938e-01 1.16449427e-02 1.60760786e-02 1.02045722e-02 9.54337940e-02 -1.11942673e-02 -9.00332406e-02 1.76990870e-03 6.70946240e-02 -9.74311382e-02 -1.89717099e-01 -8.68956745e-03 9.06576514e-02 -7.82511197e-03 1.67241376e-02 2.17502594e-01 -2.55296454e-02 -1.46826655e-02 1.71091542e-01 -1.31170198e-01 -6.15579411e-02 3.81924063e-02 7.86659250e-04 -6.13142550e-02 1.81352869e-01 3.25453468e-02 -1.51075143e-02 -3.78172584e-02 -3.19059528e-02 8.61847482e-04 7.85766095e-02 2.57593673e-02 9.96517017e-04 2.28136834e-02 6.01884238e-02 5.47319427e-02 -5.78507828e-03] [ 5.23019619e-02 6.32916167e-02 1.26794755e-01 -9.10027474e-02 -9.59415641e-03 -9.31200571e-03 1.12463646e-01 9.68017615e-03 5.53537393e-03 -7.16673862e-03 -1.26476169e-01 8.53826571e-03 4.98895347e-03 1.28171235e-01 1.57334358e-01 4.99520525e-02 -2.80900253e-03 2.09130391e-01 7.16419816e-02 9.85227376e-02 8.12807828e-02 -7.82542825e-02 7.10510090e-02 5.59743680e-03 -8.18543078e-04 6.45992812e-03 -1.83611169e-01 -2.54616141e-04 -9.45569500e-02 -1.03527151e-01 2.99209971e-02 2.40770681e-03 1.68462831e-03 -2.76109460e-03 -1.10632211e-01 -7.05538737e-03 -1.10120489e-03 1.48270518e-01 -2.07283143e-02 9.45274159e-02 -1.73856139e-01 3.06160166e-03 -2.12133769e-03 1.33247040e-02 -6.31817132e-02 1.87854558e-01 6.63813278e-02 2.22465266e-02 1.72272287e-02 2.44280929e-03 9.19082854e-03 5.76341478e-03 -2.43670819e-03 1.02305440e-02 5.12565579e-03 1.34720067e-02 -4.96292822e-02 -1.37332381e-05 4.33707563e-03 2.83641415e-03 1.61137447e-01 -1.48164844e-02 1.22191228e-01 -5.54828963e-04 -1.14173241e-01 2.18669936e-01 9.79487132e-03 -6.71937317e-02 1.71107668e-02 -1.24385253e-01 2.08016425e-01 -1.20909430e-01 -1.21162471e-03 7.00699352e-03 -5.08724758e-03 1.61521491e-02 1.32034749e-01 1.35062873e-01 -7.25071551e-03 -8.99612084e-02 -3.21105332e-03 -6.06052615e-02 4.48957225e-03 1.40436273e-02 -4.59825583e-02 -1.10758848e-01 -2.15443924e-01 1.04561551e-02 4.44941776e-04 -2.10578591e-01 -1.42473593e-01 1.05360031e-01 1.67229911e-03 1.82950415e-03 7.49135856e-03 1.48067296e-01 5.23309596e-03 -1.84364244e-01 -8.07766896e-03 -1.47389650e-01 -1.07102357e-02 -3.19063626e-02 1.39920786e-01 -2.29847282e-02 -1.37329474e-02 -9.62735899e-03 -1.18298128e-01 -2.64436938e-03 -1.34569323e-02 8.54826048e-02 -9.39834416e-02 6.24191388e-02 1.24399485e-02 5.79490252e-02 -3.21234465e-02 7.19200075e-02 2.00326499e-02 -2.34418232e-02 -1.39365390e-01 -2.16958597e-02 -1.07003115e-02 2.32974231e-01 -1.29694501e-02 -9.99943633e-03 -2.14669392e-01 1.17376976e-01 -1.82623286e-02 7.11437315e-03] Cos Similarity tf.Tensor(0.4267729, shape=(), dtype=float32) (128,) (128,) [-0.11288346 -0.14848036 0.03006526 -0.00330089 0.01801909 -0.02611912 -0.21527195 0.15318072 0.00711046 0.00512114 -0.12797508 -0.01566043 0.0229102 0.15507145 0.01740302 -0.17906453 0.01587565 0.03359213 0.06193772 -0.03680382 -0.07522251 0.07282765 -0.0046378 -0.00166725 0.02398046 0.01241562 -0.19748224 -0.00406786 0.20620862 -0.00891577 -0.00314301 -0.198373 -0.04671632 -0.0158985 -0.11145691 -0.01070097 -0.00516932 -0.12368824 -0.03747844 0.17875066 -0.09126703 0.0083012 0.00357292 0.0021258 -0.14868665 -0.11656415 -0.06793375 -0.04817034 0.01754218 0.01556909 0.00467978 0.01367504 0.01520616 0.00927208 0.01753093 0.00821291 -0.00027502 -0.00743521 -0.00209959 0.00826627 -0.20424053 -0.09419169 -0.13200429 0.01016643 0.18985373 -0.08608331 0.01453165 -0.11684162 0.00651504 -0.09152292 0.04808247 -0.10371882 -0.00399407 0.020173 0.00485336 0.00461851 -0.12959556 0.0243932 -0.01629769 0.23060393 -0.00263412 0.00190908 -0.00248454 -0.21996717 -0.02577954 -0.19449452 -0.01907055 0.01046852 -0.00496416 0.03533106 0.01050102 0.04949823 0.03136824 -0.01193276 0.00764436 -0.14031257 0.04364378 0.06074838 0.00602116 -0.04012093 0.04294396 0.10299676 -0.21837315 -0.01612677 0.00981232 -0.00281139 -0.01038235 -0.0042104 0.01616034 -0.10566711 0.08167689 -0.13116838 -0.01925664 0.02697299 -0.08871265 0.14491785 0.12661558 -0.00324685 0.15249312 -0.00209406 -0.01505664 0.09128427 -0.00636505 -0.0030826 0.16902822 0.07472696 -0.1368505 0.00814959] [-9.50476006e-02 -1.24095693e-01 4.57634032e-02 -1.44219935e-01 1.07012512e-02 -6.63961023e-02 -1.74600154e-01 -6.86409175e-02 2.37758528e-03 1.25717921e-02 -1.05503947e-01 -1.95925720e-02 -6.42968621e-03 -7.20790774e-02 7.35818371e-02 9.35555026e-02 3.00883520e-02 -1.38841584e-01 -1.56845078e-01 -4.75489115e-03 9.04297642e-03 4.94981259e-02 3.87169942e-02 -1.88039360e-03 1.90269370e-02 1.62597513e-03 -4.49880175e-02 1.37154600e-02 1.41881227e-01 9.07974131e-03 7.66011253e-02 -1.97309867e-01 -1.90744735e-02 1.73792318e-02 -1.77369967e-01 -5.86534478e-02 -1.22513883e-02 1.52090624e-01 3.88480350e-02 -1.68654490e-02 -3.85381766e-02 -1.99604761e-02 -3.03196907e-03 -9.59901884e-03 1.72249541e-01 -7.22158626e-02 3.28056626e-02 1.57364998e-02 2.71658935e-02 6.71137311e-03 9.32185352e-03 3.85869178e-03 3.02312505e-02 2.17006914e-02 3.17938887e-02 8.98350729e-04 -2.76262891e-02 -9.12515447e-03 7.83286709e-03 -3.83814145e-03 9.40552503e-02 1.38114586e-01 8.03394020e-02 1.82480160e-02 1.97485894e-01 -1.50783852e-01 6.51761750e-03 -1.28736764e-01 -6.33227639e-03 1.96554046e-02 -7.85388425e-02 1.36966571e-01 -2.49130558e-03 2.15124767e-02 -1.95972199e-04 1.81059912e-02 -1.30760223e-01 2.03602836e-02 -3.89415189e-03 4.49700505e-02 4.94889216e-04 2.93353130e-03 2.18460765e-02 -2.15551838e-01 1.77531511e-01 -3.26188579e-02 7.53636211e-02 1.02717197e-02 1.47754215e-02 -2.12440372e-01 1.16800606e-01 -9.47553962e-02 2.92108720e-03 3.70582938e-02 3.20054814e-02 -1.02671303e-01 2.32602172e-02 2.20222086e-01 1.73972044e-02 9.89158377e-02 2.42642462e-01 -1.04927830e-01 1.68239325e-02 1.51552213e-02 2.11149063e-02 -3.10065597e-02 -1.76473677e-01 -2.20236462e-02 3.58819105e-02 -1.42054379e-01 -3.39209996e-02 -1.19190097e-01 1.24634858e-02 -1.36381909e-01 -7.81835020e-02 1.76039875e-01 1.94200009e-01 -1.20309960e-04 1.78076208e-01 1.81051884e-02 -3.85449827e-03 -6.42155036e-02 1.75834503e-02 -4.58312081e-03 5.52727245e-02 2.61519700e-02 -6.48208261e-02 -1.99308223e-03]
Cos Similarity tf.Tensor(0.31035912, shape=(), dtype=float32) (128,) (128,) [-2.61688560e-01 1.64560810e-01 -1.67439565e-01 4.62928005e-02 -3.11742560e-03 4.77611413e-03 1.59490258e-01 1.85802411e-02 7.70396146e-04 -1.79694537e-02 -1.12498671e-01 -4.93357610e-03 -6.63064374e-03 1.92436919e-01 -2.46775895e-02 -1.93276972e-01 -1.80226956e-02 -1.37895480e-01 7.60409757e-02 -1.06557153e-01 1.21189669e-01 1.07266471e-01 3.34613435e-02 -1.97791085e-02 -5.24162780e-03 2.24165851e-03 1.52138807e-02 -3.63399461e-02 -6.92367032e-02 -1.37230992e-01 2.34495401e-02 2.31575202e-02 -1.58572532e-02 -1.49273826e-02 -1.83653697e-01 -5.64143322e-02 -1.40450997e-02 1.84290603e-01 -8.27543190e-05 -4.70498353e-02 -5.09027466e-02 -2.92129768e-03 -1.53879607e-02 -3.01553519e-03 1.61566302e-01 1.30435079e-01 -1.21400625e-01 -8.20192508e-03 1.34453017e-04 9.58686322e-03 -1.56278443e-03 3.10723158e-03 -1.81661490e-02 1.46719418e-03 -7.88638368e-03 9.08394810e-03 1.48775741e-01 -3.56724905e-03 -1.29997963e-02 -1.78241804e-02 -5.10628801e-03 -1.71365067e-01 -4.27515730e-02 -5.28106652e-03 5.53152077e-02 -4.35405783e-02 -1.76694673e-02 -8.12808797e-03 -1.44984042e-02 -2.13693589e-01 1.35039330e-01 -1.11953795e-01 4.57790075e-03 -6.11511013e-03 -8.03805701e-03 1.25154655e-03 -5.31428270e-02 -5.22419401e-02 2.81425193e-04 8.75836983e-02 -1.75698455e-02 6.71880990e-02 -7.32372375e-03 1.73864827e-01 -1.68226331e-01 1.09765276e-01 1.34188101e-01 8.52793362e-03 -1.82503499e-02 1.16659127e-01 -4.22547571e-03 7.22736400e-03 -2.11827364e-02 9.26992856e-03 4.07290459e-03 1.89130157e-01 -1.44989714e-01 -1.28029240e-02 -3.68641987e-02 -1.81286886e-01 9.96979550e-02 -9.67183411e-02 1.00672342e-01 1.37112334e-01 -1.95846856e-02 7.05141108e-03 -1.48749650e-01 -1.09149702e-02 -3.19666676e-02 1.51530523e-02 -1.17154129e-01 7.07263947e-02 -1.47816921e-02 1.16126949e-03 4.94735241e-02 8.18370730e-02 1.27786145e-01 -2.74946156e-04 -1.87744528e-01 -2.84424108e-02 -2.04239463e-04 6.09263666e-02 1.78333826e-03 -2.21206322e-02 -1.66921839e-01 3.76006961e-02 6.25653483e-04 -1.44834919e-02] [-0.01400856 0.02706156 0.06140257 -0.17484453 -0.03638425 -0.08340722 0.15410344 -0.02445991 0.00452699 -0.0010736 0.17529716 -0.00980998 0.01450075 -0.10749934 0.08038849 -0.11960319 0.01075032 0.07322846 -0.17845318 0.01057111 0.02810189 0.12177856 0.11949873 -0.03438082 0.01159087 0.00653298 0.12706263 -0.00833815 0.13331906 0.00769984 -0.08938701 0.11819311 0.03150922 0.02681007 0.1397254 0.00798863 0.02645098 0.06121891 -0.03292655 0.11049402 0.06191581 0.00357816 -0.0073743 0.00033349 0.14123675 0.17076401 0.03111203 0.00871711 0.01754823 -0.01719967 -0.00206228 0.00440091 0.01916464 0.01695883 0.0142232 0.02472898 0.17655909 -0.03249596 -0.00110553 -0.01486948 -0.08800966 0.11607591 0.14445135 0.02320631 -0.071833 -0.17113571 0.0075419 0.09857909 -0.00092776 0.14114399 0.08236532 -0.0774337 0.00309273 0.02805516 0.00426242 0.01074066 0.12490371 -0.11239652 -0.00424841 0.16681176 -0.01021291 -0.00104629 0.0177959 -0.12503947 0.10077662 -0.17522638 0.06355396 0.015416 -0.00260448 -0.16320331 0.12185758 -0.07128811 0.01312537 0.01862898 0.00343558 0.1698062 0.09062329 -0.16292886 0.00128445 0.07715085 -0.03009834 0.07222763 0.1536423 0.11174434 -0.00221362 0.01618034 0.12631996 -0.00491456 0.00523309 -0.13267186 0.16554806 -0.1412071 0.00816302 0.05706505 -0.08999947 0.15191732 -0.16913947 -0.03269618 -0.16254237 -0.01525258 -0.01409711 0.1118741 0.01117172 -0.00709514 -0.16905528 -0.01463061 -0.07740086 -0.0060355 ] Cos Similarity tf.Tensor(-0.033433236, shape=(), dtype=float32) (128,) (128,) [-0.13239522 0.00953373 -0.08685055 0.17261513 -0.00124633 -0.01731479 -0.04408836 -0.07048732 0.01025939 -0.00443425 -0.17145154 -0.00296021 0.01527709 0.12417856 -0.0083825 0.11382814 -0.00716475 0.04869078 0.18315183 0.06057591 -0.13430338 -0.06673262 -0.02323887 -0.02530625 -0.01291897 -0.00561712 0.1689565 -0.03105679 0.09767094 -0.0635497 0.22695583 0.09165075 0.00374198 0.0118991 0.17130311 0.00523377 0.00325966 0.08798289 0.00760426 -0.13028178 0.21159028 0.0018685 -0.00682424 -0.02008382 0.17775276 -0.15681644 0.00596068 -0.00418052 0.00272436 -0.00245956 0.00581697 0.00291272 -0.01083205 0.00617599 -0.0085357 0.01730426 -0.17195335 0.00053988 -0.00159954 -0.01154799 0.04140127 -0.02842114 -0.113072 -0.01741766 -0.11962012 -0.13641082 -0.01950132 -0.07899359 -0.01087745 -0.186423 0.13627166 0.02089298 -0.00052782 0.01800732 -0.00541037 -0.01193203 -0.16639543 -0.10188226 0.00079125 0.0883519 -0.02309566 -0.00321813 -0.02114148 0.14822514 0.06835935 0.13428415 -0.05936938 0.00102203 -0.01528521 0.10967179 0.01522129 0.23214725 -0.03100461 0.0072443 -0.0009369 -0.08503357 -0.07247764 0.08354293 -0.00678254 0.08214954 -0.11788757 0.06020117 0.19545916 0.14122038 -0.01503354 -0.003497 0.13602789 -0.00549625 -0.02321295 -0.10831016 0.17835817 -0.18347687 -0.01090712 0.06151318 0.04154164 -0.15361565 0.00369608 -0.00722835 -0.01615901 -0.0223697 0.00515948 0.1614986 0.00207708 -0.00995683 0.00360175 -0.00655295 0.01254631 -0.01181797] [ 1.34142721e-02 7.53649557e-03 -3.40010263e-02 1.63153857e-01 -1.01772351e-02 -4.00007702e-02 7.09274635e-02 -2.57929098e-02 4.62943641e-03 -7.50103826e-03 -1.27560049e-01 -7.61654647e-03 3.64876096e-03 8.03408548e-02 3.00156116e-03 6.76734969e-02 -1.49406446e-02 2.96631660e-02 1.72408372e-01 7.74740428e-02 -1.66309938e-01 -9.50529724e-02 2.57247146e-02 -1.06097627e-02 -3.53160053e-02 -3.56948352e-03 1.65450349e-01 -3.13519910e-02 5.79507686e-02 -6.13247976e-02 2.01047480e-01 6.09259941e-02 7.40915909e-03 8.00523907e-03 1.95143089e-01 -1.36185009e-02 -3.99738038e-03 7.39028603e-02 4.43632761e-03 -1.50047764e-01 1.90450802e-01 1.14640379e-02 -3.48690664e-03 -1.70218423e-02 2.05213621e-01 -8.59521925e-02 -5.48184477e-02 -2.77908402e-03 1.07795885e-03 -1.30931335e-03 6.29955577e-03 2.20864173e-03 -6.42438373e-03 3.15216742e-03 -4.35916521e-03 1.20883742e-02 -1.82311580e-01 1.33723589e-02 -4.71464219e-03 -1.48890689e-02 5.70346937e-02 -6.69205859e-02 -1.14664316e-01 -1.21997297e-02 -1.06951989e-01 -1.84271887e-01 -1.29782790e-02 -1.05315417e-01 -1.24377441e-02 -1.87096819e-01 1.45200834e-01 6.06207587e-02 1.70184625e-03 1.03344712e-02 -6.92031952e-03 -2.06342083e-03 -1.52337477e-01 6.00850768e-03 6.59658166e-04 1.08533993e-01 -2.93450747e-02 -4.86467294e-02 -1.71249844e-02 1.50272042e-01 7.07352534e-02 1.34113103e-01 -7.70768970e-02 7.04348274e-03 -1.19629847e-02 1.53816342e-01 7.23001454e-03 2.16882974e-01 -2.83333827e-02 6.54160930e-03 -2.82907895e-05 -9.56284627e-02 -4.97147888e-02 8.75118077e-02 -5.36285015e-03 2.05101728e-01 -1.24765240e-01 3.10744438e-02 2.12531134e-01 1.36250854e-01 -2.19948106e-02 -4.27551597e-04 1.24407209e-01 -1.03535391e-02 -2.67384984e-02 -1.18727371e-01 1.19035117e-01 -1.80138662e-01 -5.83023578e-03 6.49723038e-02 7.25880489e-02 -1.78081229e-01 -4.11612317e-02 -1.20662935e-02 9.15914774e-02 -2.51542591e-02 4.25147172e-03 1.44810811e-01 6.26622653e-03 -8.17329995e-03 -2.55076913e-03 -1.40737696e-02 7.52898585e-03 -1.49398018e-02] Cos Similarity tf.Tensor(0.93622804, shape=(), dtype=float32) (128,) (128,) [-2.00274616e-01 8.52552950e-02 -8.75893310e-02 1.20746359e-01 -3.53086367e-02 -1.99538037e-01 -1.77130222e-01 -2.30307117e-01 2.67663365e-03 -6.66016340e-03 1.32316500e-01 -1.44851459e-02 3.67508293e-03 -1.83065981e-01 -2.86172070e-02 3.18276137e-02 -2.15590205e-02 1.71123236e-01 3.80883813e-02 -8.70282203e-02 1.17851309e-01 -1.81524456e-01 1.39425516e-01 3.52363498e-03 1.21014919e-02 4.39269555e-04 1.14989495e-02 -3.16540943e-03 4.12626788e-02 -4.83082384e-02 -1.32433161e-01 -7.92296007e-02 -6.05276134e-03 -2.12969109e-02 4.06589918e-02 3.75932008e-02 1.08398199e-04 1.15700990e-01 8.61592311e-03 -7.27628395e-02 1.53031051e-01 -1.10384647e-03 1.28781097e-03 8.91377218e-03 -1.82514742e-01 3.66712958e-02 1.19649105e-01 -2.10132301e-02 4.56435513e-03 7.51591241e-03 5.34159364e-03 5.07819047e-03 -1.95966917e-03 5.58545068e-03 -1.75749641e-02 -2.36729556e-03 7.90743306e-02 -1.78627856e-02 -6.22344343e-03 -3.47045530e-03 -7.56651722e-03 -1.58370624e-03 1.31567016e-01 -1.91347767e-02 -1.85424298e-01 2.39783637e-02 -3.12621929e-02 -1.97625712e-01 -2.30745599e-02 -1.06587954e-01 -6.48025423e-03 -1.56537890e-01 -3.42475134e-03 8.27060454e-03 -5.33893378e-03 3.04081314e-03 1.52776957e-01 1.21682502e-01 5.23054972e-04 -2.10750416e-01 -1.17985364e-02 6.83066482e-03 -3.94830713e-04 7.52624795e-02 -1.91543326e-02 -1.42526962e-02 -2.48624012e-01 7.56701687e-03 -1.29241692e-02 -4.37363125e-02 -4.49608900e-02 2.80825794e-02 -2.25923304e-02 2.22998322e-03 -4.59729694e-03 2.48018987e-02 -1.57406973e-03 -4.13695872e-02 8.45085736e-03 -2.38208652e-01 -1.07653901e-01 1.35601431e-01 -2.12969109e-02 1.01809837e-01 -8.90727341e-03 -1.27776079e-02 1.59969479e-01 4.13053557e-02 -9.97219887e-03 3.34877223e-02 1.05921946e-01 1.90689072e-01 -5.28293569e-03 -4.03788798e-02 8.14566985e-02 7.83283710e-02 -1.42511651e-01 4.09761025e-03 7.41436779e-02 -1.58018922e-03 2.34507676e-03 -8.52459110e-04 2.00210605e-02 6.89791143e-03 -9.23644602e-02 3.74239683e-02 5.79675846e-02 -1.94825102e-02] [-0.18727486 0.09527256 -0.05205772 0.13946262 -0.02930208 -0.20022541 -0.19496936 -0.19886547 0.00178389 0.00345637 0.12273409 -0.02100116 0.01385732 -0.21865092 -0.0347027 0.04035176 -0.02200398 0.17572688 0.04285229 -0.04339002 0.09857839 -0.19367824 0.14151749 0.00480001 0.0219917 -0.00060861 0.05103087 0.00581791 0.02064972 -0.02574752 -0.13149224 -0.09761 -0.00241163 -0.02261362 -0.07459676 0.04441708 0.00700408 0.10961398 0.01493239 -0.05679135 0.11845006 -0.00166057 -0.00058065 0.01304603 -0.16801162 0.04224114 0.12653828 -0.01309921 0.0099078 0.00862504 0.00336075 0.01022964 0.00868984 0.0037125 -0.01774004 0.00683437 0.09421996 -0.01230269 -0.00301514 0.00495592 -0.00563821 -0.00232862 0.14169542 -0.01697122 -0.18535 0.03587122 -0.03226983 -0.19613257 -0.01543555 -0.10117938 -0.00177457 -0.15151529 -0.00143812 0.008828 -0.00190049 0.00386161 0.16923727 0.11942833 0.00039182 -0.21322425 -0.00761701 0.00625529 -0.00072694 0.09878622 -0.00717094 -0.01445927 -0.24688993 0.01887945 -0.00342892 -0.05376254 -0.03513189 0.02403778 -0.02578441 0.00328576 0.00387747 0.01733389 -0.00153616 -0.05289508 0.00634265 -0.23686123 -0.10346232 0.1367434 -0.08450822 0.0566107 0.00357942 -0.02641221 0.14661422 0.04114995 -0.00275163 0.03908102 0.11566626 0.19643296 -0.00329804 -0.03916864 0.07004247 0.08127044 -0.14088947 0.00603789 0.06019334 0.01106082 -0.00078327 0.02748073 -0.00400613 0.01059902 -0.10373344 0.03898259 0.02803033 -0.01868987] Cos Similarity tf.Tensor(0.9809141, shape=(), dtype=float32) (128,) (128,) [ 1.06131412e-01 1.85824428e-02 2.49664132e-02 1.11553483e-02 2.10280181e-03 5.14789857e-02 1.18717492e-01 1.45928979e-01 -1.08163906e-04 -1.16350045e-02 -1.74243852e-01 -1.82272345e-02 -1.03072375e-02 1.92872271e-01 2.23883223e-02 1.81628333e-03 -2.41470858e-02 -7.99394175e-02 -2.33214609e-02 -8.25308636e-02 4.87134941e-02 -3.01192980e-02 -8.80877208e-03 -1.12361573e-01 -2.71858629e-02 3.61802499e-03 -1.20898727e-02 -3.40117030e-02 1.99040681e-01 6.97917491e-02 7.53865093e-02 1.76786512e-01 -9.57493950e-03 -1.54440524e-03 4.54318076e-02 7.22536892e-02 -2.63823736e-02 -2.21190974e-01 -1.45365100e-03 -9.18792635e-02 -8.55837315e-02 -3.87380394e-04 9.59465455e-04 -9.15601850e-03 1.88233852e-01 1.20867498e-01 -1.58168644e-01 -2.00748704e-02 -2.34307209e-03 1.10513968e-02 5.10195782e-03 5.98172238e-03 -2.14564372e-02 1.73431262e-03 -4.44372790e-03 3.72276735e-03 -4.02782224e-02 -1.23281572e-02 7.46830774e-04 -3.35389352e-03 -1.60328597e-01 -1.69750959e-01 3.56226899e-02 -1.80225894e-02 8.59443918e-02 -1.71034411e-02 -1.66639239e-02 -4.93221320e-02 8.74161895e-04 -9.96230841e-02 -3.75912189e-02 -1.61178097e-01 6.25967840e-03 -1.29222975e-03 -4.76747722e-04 5.49495919e-04 -1.63013801e-01 -2.00966429e-02 1.46157702e-03 2.11108759e-01 -2.15238724e-02 7.96389580e-03 1.70799368e-03 6.76434487e-02 7.91233331e-02 -1.75011113e-01 -1.15955725e-01 1.09509910e-02 -1.82125140e-02 -5.62829860e-02 1.41687274e-01 2.02602133e-01 -8.19573831e-03 6.07083971e-03 -4.36043786e-03 1.46411717e-01 1.00238025e-02 1.34103715e-01 -2.13634339e-03 -4.45781909e-02 8.58384371e-02 6.83153197e-02 1.15235284e-01 -1.35392368e-01 -8.32074787e-03 -1.29875457e-02 1.63441047e-01 9.26263630e-03 -2.68699620e-02 -2.25767285e-01 1.57770202e-01 4.46992181e-02 -1.94239384e-03 -1.65984884e-01 -4.86336723e-02 -2.83285342e-02 -1.40236020e-01 -1.23368436e-02 -1.88614428e-01 -1.35479765e-02 3.93085275e-03 -1.09255701e-01 3.92510043e-03 -1.28576467e-02 -1.68859035e-01 2.51057539e-02 4.45496663e-02 -1.81474220e-02] [ 9.89428759e-02 9.75794531e-03 5.33720851e-02 -5.16897514e-02 5.75669017e-03 7.38048330e-02 1.29816875e-01 8.91663954e-02 1.82458933e-03 -7.09888944e-03 -1.73800096e-01 -1.82334743e-02 -1.36988480e-02 2.25375786e-01 -4.59468504e-03 6.87002251e-03 -2.18430050e-02 -1.49654783e-02 -2.94140428e-02 -7.55286142e-02 2.05057226e-02 -2.11584941e-02 6.54201359e-02 -1.32835940e-01 -2.48236004e-02 -7.09742599e-05 -5.61297871e-02 -2.97769643e-02 1.85135946e-01 1.10077903e-01 7.73932487e-02 1.38977125e-01 -9.69894323e-03 -7.19625794e-04 4.66104262e-02 8.73252228e-02 -1.93263758e-02 -2.07315609e-01 -1.80166843e-03 -9.43625271e-02 -1.12784304e-01 -2.18773587e-03 -1.77648966e-03 -9.66977701e-03 1.78405553e-01 1.24732651e-01 -1.59780696e-01 -1.89319998e-02 2.55022809e-04 1.03356978e-02 2.52327626e-03 4.06286586e-03 -2.23821141e-02 5.95905178e-04 -4.88076406e-03 2.79941037e-03 -4.95116413e-02 -1.33151440e-02 9.77977295e-04 -3.50456918e-03 -6.98619410e-02 -1.58942953e-01 2.87361965e-02 -1.93361007e-02 7.13535547e-02 7.91124534e-03 -1.41624175e-02 -8.99312049e-02 -2.80568522e-04 -8.75110924e-02 -2.93095894e-02 -1.43739700e-01 5.11869602e-03 3.69898416e-03 2.08339607e-03 -9.09932249e-04 -1.61320090e-01 1.00871455e-02 4.05807630e-04 2.07514614e-01 -2.46306993e-02 8.66428204e-03 8.80631991e-03 1.73838735e-01 6.69650435e-02 -1.75109237e-01 -8.97323936e-02 1.00443782e-02 -1.46584986e-02 -6.34291768e-02 1.36189267e-01 1.04752526e-01 -1.14320237e-02 2.80004437e-03 -4.03531082e-03 7.06214458e-02 1.04470830e-02 1.70658320e-01 -3.88607359e-03 -7.17895180e-02 9.31761563e-02 1.63420126e-01 1.17502965e-01 -1.37882143e-01 -6.81159273e-03 -1.05497614e-02 1.43160194e-01 1.94115099e-03 -2.69620679e-02 -2.35906869e-01 1.54653013e-01 1.80240318e-01 -6.70417072e-03 -1.72125325e-01 -4.09342460e-02 6.43462315e-02 -9.86570120e-02 -7.45587191e-03 -1.98881209e-01 -1.20614823e-02 4.82346117e-03 -1.06796950e-01 1.09342893e-03 -1.75757566e-03 -1.55153871e-01 1.34887721e-03 3.92680950e-02 -1.57264266e-02] Cos Similarity tf.Tensor(0.94501966, shape=(), dtype=float32) (128,) (128,) [ 2.08538681e-01 1.23004697e-01 -5.77692874e-02 -1.34163231e-01 -9.83414613e-03 -3.00914105e-02 3.17058377e-02 5.32925762e-02 -7.66975433e-03 -1.02040153e-02 -1.89383745e-01 -2.07555033e-02 4.72505810e-03 3.80667821e-02 6.80518597e-02 -1.79287300e-01 -2.20634323e-02 1.04573131e-01 1.94786146e-01 -3.13007608e-02 1.40617132e-01 -3.73546369e-02 1.15417480e-01 5.10470346e-02 -1.53416554e-02 1.02840166e-03 1.00655727e-01 -2.06240118e-02 1.05217218e-01 1.19657598e-01 -1.94581732e-01 1.96426362e-01 -2.96509149e-03 -9.57604405e-03 -1.55429065e-01 -7.78715825e-03 -6.26674341e-03 -9.64667574e-02 -6.89387647e-03 -1.04340881e-01 -8.86529908e-02 -2.54824199e-03 -4.03643493e-03 7.04689417e-04 9.10979230e-03 6.48665801e-02 -7.23775178e-02 4.93875472e-03 6.03056396e-04 1.29786087e-02 1.05159683e-03 2.36223941e-03 -1.31538566e-02 2.46955897e-03 -1.28254211e-02 6.72306772e-03 -5.46728224e-02 -4.04119398e-03 3.55400657e-03 -1.33502400e-02 2.84223445e-02 -5.69506772e-02 1.81014910e-01 -1.49810337e-03 -5.80059998e-02 4.33858261e-02 -1.39804417e-02 5.24077415e-02 -5.75023284e-03 -2.04795264e-02 -2.38013379e-02 -2.08618063e-02 -6.85743114e-04 2.49226228e-03 -1.48808518e-02 4.93775588e-03 1.74274787e-01 1.34217232e-01 -2.64293072e-03 1.39346480e-01 -1.43476455e-02 6.42321247e-05 1.12737948e-02 7.46439071e-03 -1.97431281e-01 1.57819733e-01 1.98109388e-01 3.52653651e-03 -8.91921297e-03 1.36618093e-01 2.23934092e-02 1.74671710e-01 -5.53722819e-03 4.31647664e-03 8.11221427e-04 1.72958925e-01 2.55996715e-02 -1.29827902e-01 -1.54763367e-02 -5.11768982e-02 4.21675742e-02 1.97072490e-03 1.20710164e-01 1.44095853e-01 -1.30171534e-02 -5.77118853e-03 1.97373345e-01 1.54711241e-02 -1.30944801e-02 -1.63369179e-01 2.74511203e-02 -4.93314900e-02 -4.45304764e-03 6.65143058e-02 4.17185202e-03 1.86789870e-01 1.67945117e-01 -1.93603728e-02 1.62523657e-01 -1.99499130e-02 4.11661167e-05 1.34382814e-01 3.42791365e-03 -3.48798335e-02 -1.76661730e-01 4.92405556e-02 4.67210226e-02 -8.16394109e-03] [ 2.08538681e-01 1.23004697e-01 -5.77692874e-02 -1.34163231e-01 -9.83414613e-03 -3.00914105e-02 3.17058377e-02 5.32925762e-02 -7.66975433e-03 -1.02040153e-02 -1.89383745e-01 -2.07555033e-02 4.72505810e-03 3.80667821e-02 6.80518597e-02 -1.79287300e-01 -2.20634323e-02 1.04573131e-01 1.94786146e-01 -3.13007608e-02 1.40617132e-01 -3.73546369e-02 1.15417480e-01 5.10470346e-02 -1.53416554e-02 1.02840166e-03 1.00655727e-01 -2.06240118e-02 1.05217218e-01 1.19657598e-01 -1.94581732e-01 1.96426362e-01 -2.96509149e-03 -9.57604405e-03 -1.55429065e-01 -7.78715825e-03 -6.26674341e-03 -9.64667574e-02 -6.89387647e-03 -1.04340881e-01 -8.86529908e-02 -2.54824199e-03 -4.03643493e-03 7.04689417e-04 9.10979230e-03 6.48665801e-02 -7.23775178e-02 4.93875472e-03 6.03056396e-04 1.29786087e-02 1.05159683e-03 2.36223941e-03 -1.31538566e-02 2.46955897e-03 -1.28254211e-02 6.72306772e-03 -5.46728224e-02 -4.04119398e-03 3.55400657e-03 -1.33502400e-02 2.84223445e-02 -5.69506772e-02 1.81014910e-01 -1.49810337e-03 -5.80059998e-02 4.33858261e-02 -1.39804417e-02 5.24077415e-02 -5.75023284e-03 -2.04795264e-02 -2.38013379e-02 -2.08618063e-02 -6.85743114e-04 2.49226228e-03 -1.48808518e-02 4.93775588e-03 1.74274787e-01 1.34217232e-01 -2.64293072e-03 1.39346480e-01 -1.43476455e-02 6.42321247e-05 1.12737948e-02 7.46439071e-03 -1.97431281e-01 1.57819733e-01 1.98109388e-01 3.52653651e-03 -8.91921297e-03 1.36618093e-01 2.23934092e-02 1.74671710e-01 -5.53722819e-03 4.31647664e-03 8.11221427e-04 1.72958925e-01 2.55996715e-02 -1.29827902e-01 -1.54763367e-02 -5.11768982e-02 4.21675742e-02 1.97072490e-03 1.20710164e-01 1.44095853e-01 -1.30171534e-02 -5.77118853e-03 1.97373345e-01 1.54711241e-02 -1.30944801e-02 -1.63369179e-01 2.74511203e-02 -4.93314900e-02 -4.45304764e-03 6.65143058e-02 4.17185202e-03 1.86789870e-01 1.67945117e-01 -1.93603728e-02 1.62523657e-01 -1.99499130e-02 4.11661167e-05 1.34382814e-01 3.42791365e-03 -3.48798335e-02 -1.76661730e-01 4.92405556e-02 4.67210226e-02 -8.16394109e-03] Cos Similarity tf.Tensor(0.9999999, shape=(), dtype=float32) (128,) (128,) [-2.53074560e-02 3.80632207e-02 -2.54017450e-02 -8.05521309e-02 -2.25630067e-02 3.69404815e-03 1.31025046e-01 1.14756925e-02 -4.30838531e-03 -7.40171643e-03 6.50155544e-03 -3.68450535e-03 -6.97445218e-03 -5.21454103e-02 1.24853887e-01 4.34093028e-02 -1.42511250e-02 -1.04224868e-01 -1.94589019e-01 1.79587658e-02 1.36447698e-03 -4.00382765e-02 -2.77567029e-01 -1.18759135e-02 -1.44006023e-02 6.09348295e-03 5.00822924e-02 -2.16580406e-02 -2.29204502e-02 -2.02967763e-01 3.92200276e-02 1.01728022e-01 4.96334117e-03 -1.95285189e-04 6.40474111e-02 2.04427969e-02 -1.22500993e-02 1.45841628e-01 -1.07895955e-02 -1.53869927e-01 3.71371508e-02 5.94252162e-03 -2.17089453e-03 -7.53453281e-03 -8.85490552e-02 -2.87148625e-01 -7.68761430e-03 -3.13148106e-04 1.13144573e-02 5.43496339e-03 9.64546856e-03 -8.35704675e-04 -1.52127603e-02 2.75870366e-03 -1.13588525e-02 1.28707476e-02 -1.27894580e-01 8.79035890e-03 -8.30621552e-03 -1.56798083e-02 1.16379805e-01 -2.63711605e-02 1.27926379e-01 -2.23079473e-02 2.90504228e-02 4.45446037e-02 -9.16531030e-03 -7.91724492e-03 -3.22205387e-02 -5.85444309e-02 1.71935171e-01 -1.54649705e-01 2.85092555e-03 -2.24198797e-03 -9.73885506e-03 5.42273885e-03 -3.97412339e-04 1.39315024e-01 7.89976120e-03 -1.95300877e-01 -1.67754181e-02 5.14467023e-02 -2.49208268e-02 1.36139408e-01 -4.44868356e-02 9.43817273e-02 4.40752432e-02 5.73001988e-03 -6.96455641e-03 1.01029584e-02 5.72087429e-02 -8.87636766e-02 -1.11891953e-02 6.76367152e-03 -1.00874395e-05 -2.34855205e-01 5.92143349e-02 -1.90691985e-02 -1.74705274e-02 -2.38635987e-01 -8.11657757e-02 3.87764126e-02 1.07643023e-01 1.06143348e-01 -1.68759897e-02 7.13500567e-03 1.34088293e-01 -7.95247313e-03 -2.47537885e-02 -4.03963961e-03 1.31927088e-01 2.36428335e-01 -8.42707884e-03 -7.51626268e-02 3.56415547e-02 2.29837731e-01 -2.03042716e-01 -5.83443977e-03 1.81478277e-01 -2.76240464e-02 1.43356493e-03 6.70800880e-02 1.51320733e-02 3.66514991e-03 -3.65814287e-03 5.34064360e-02 1.73785374e-01 -1.67161077e-02] [ 1.72155797e-01 1.83346942e-01 -3.37892585e-02 1.61753908e-01 -6.18199911e-03 5.52972183e-02 1.03784911e-02 2.43226886e-02 -3.80741642e-03 -1.82782002e-02 -1.90864950e-01 -7.28755118e-03 5.41507825e-03 5.75388111e-02 2.10534018e-02 1.53171259e-03 -9.81829502e-03 -3.35272327e-02 1.02755629e-01 -1.86803594e-01 -8.05141479e-02 -2.09971830e-01 -7.94832334e-02 -4.52706367e-02 -1.37065416e-02 6.46308763e-03 -2.49647293e-02 -2.15141121e-02 5.87088354e-02 1.54086635e-01 -2.27972530e-02 9.05058980e-02 -4.93359519e-04 -4.46898583e-03 1.05846845e-01 7.29492772e-03 -1.53291097e-03 9.27091949e-03 -2.21252255e-03 -4.86250669e-02 -3.57212983e-02 -9.48298723e-03 -4.12098737e-03 -1.19150532e-02 -8.68880749e-02 1.11777686e-01 3.46778221e-02 2.58580875e-03 6.65194308e-03 1.36061851e-02 6.21468155e-03 1.21439039e-03 -1.50228478e-02 4.58386168e-03 1.05911540e-03 5.99197811e-03 -4.18915674e-02 -1.18544581e-03 -3.61896586e-03 -2.23202910e-02 8.49403590e-02 -1.56240106e-01 1.99979663e-01 -1.55316014e-02 -2.76351385e-02 -5.24908975e-02 -1.30698858e-02 1.37714058e-01 -3.91099276e-03 1.26237139e-01 -5.40768839e-02 -4.90590967e-02 -4.17453423e-03 5.08553768e-03 -1.60193257e-02 4.04700963e-03 1.91488072e-01 1.38025880e-01 3.83239402e-03 1.86956629e-01 -9.54126474e-03 1.93446055e-02 1.70805329e-03 -3.91461998e-02 -1.95327431e-01 1.14814460e-01 8.92539993e-02 6.24200096e-03 -4.28311760e-03 1.91615671e-01 -3.53621654e-02 2.09336281e-01 4.24297154e-03 9.27466620e-03 -5.33011835e-03 1.39643714e-01 -5.78227499e-03 -2.19425753e-01 -9.69543494e-03 -1.46397725e-01 -1.67935222e-01 -8.24364498e-02 5.32793179e-02 2.01084003e-01 -2.00910009e-02 -7.73235597e-03 1.57959968e-01 6.89701922e-03 -1.07504940e-02 -2.23291636e-01 1.47691473e-01 3.26800421e-02 1.72434287e-04 -1.60826162e-01 -3.66017520e-02 1.22540154e-01 8.20957795e-02 -1.81116033e-02 -5.81350662e-02 -1.44378915e-02 2.77722743e-03 3.24790180e-02 7.01542944e-03 -1.72004458e-02 6.78410009e-02 -8.69888254e-03 8.85850936e-02 -1.34180347e-02] Cos Similarity tf.Tensor(0.10658967, shape=(), dtype=float32) (128,) (128,) [-2.20605448e-01 7.97732398e-02 -1.14248082e-01 1.32385474e-02 -2.44651549e-03 -2.95518711e-02 1.16400570e-01 1.24269992e-01 2.07032310e-03 -1.32929264e-02 1.53338090e-01 -6.82462705e-03 -5.08311810e-03 2.05059364e-01 9.58084688e-02 1.60679266e-01 -2.03420110e-02 3.29231247e-02 -4.22866270e-02 -2.10206151e-01 6.52251020e-02 1.00927420e-01 1.02826759e-01 7.00565055e-02 -1.23072974e-02 5.13505144e-03 -1.32868081e-01 -2.32735183e-05 3.35658751e-02 7.67858475e-02 1.90701839e-02 3.18067451e-03 -1.95916612e-02 -1.89309902e-02 -1.34239718e-01 -4.86598648e-02 4.24018828e-04 1.27328083e-01 -7.42708193e-03 7.04884455e-02 9.87793207e-02 -1.98745611e-03 -3.40373558e-03 -5.65375062e-03 1.11722194e-01 -1.44128144e-01 1.70844749e-01 -1.44691998e-02 2.02410948e-03 -6.12872560e-03 -2.92243552e-03 4.91634663e-03 -1.41722914e-02 1.69445795e-03 2.04133778e-03 5.46409655e-03 1.45660594e-01 -1.07739326e-02 -1.06657809e-03 -1.08791264e-02 1.62923709e-01 7.15180710e-02 -1.09120766e-02 -6.14627125e-03 -1.15215518e-01 8.87587219e-02 -1.26530854e-02 -1.79154391e-03 -5.95562998e-03 -1.60591990e-01 1.82333544e-01 -1.95488200e-01 3.44499480e-03 8.52772128e-03 -8.65620468e-03 -6.57694414e-03 -2.16888916e-03 1.73790887e-01 1.36138569e-03 -2.45830938e-02 -2.50122827e-02 -9.93911084e-03 -1.63754951e-02 1.42168730e-01 7.71948993e-02 -7.44465888e-02 5.72060794e-02 7.29774591e-03 -1.82584841e-02 -4.35409956e-02 1.76574681e-02 1.09799370e-01 -1.49558615e-02 1.19570307e-02 3.96051153e-04 -1.87541753e-01 1.87937230e-01 1.13518380e-01 -1.84967965e-02 -1.53830364e-01 -3.44421491e-02 7.93198422e-02 -1.10580102e-01 3.12401596e-02 -2.56648920e-02 8.88473261e-03 -1.31548867e-01 -2.79125734e-03 -3.56953554e-02 2.13044077e-01 -1.37572557e-01 1.31546929e-01 -1.55670298e-02 -2.03270838e-02 5.95968030e-02 1.00040138e-01 8.70812386e-02 4.46726335e-03 -2.01847732e-01 -1.17784543e-02 -6.39091246e-03 3.95604819e-02 5.40709542e-03 -9.46030207e-03 1.11098118e-01 -1.17924996e-02 1.53155223e-01 -6.61429530e-03] [-0.04406585 -0.20479043 0.00092203 -0.04962652 -0.01307801 0.0512987 0.05152629 -0.1517998 0.00592922 -0.01213357 0.19673006 -0.01305745 -0.01710605 0.00483798 0.08359006 -0.13765098 -0.00465891 -0.00380182 -0.01447688 0.09596533 -0.02855567 0.00024409 0.16301614 -0.08143781 -0.01639945 -0.00301402 0.20450613 -0.00535704 -0.07173539 -0.02837538 -0.21270506 -0.09224796 0.00941822 0.0047705 0.11552558 -0.01129408 -0.01180466 0.04750596 -0.00612936 0.05673416 -0.15956664 -0.00962365 -0.01373523 -0.00167029 0.20718272 -0.17811228 0.13962813 0.00132773 0.00050914 -0.00105792 0.00068359 0.00080742 -0.01729752 -0.00049805 -0.00256059 0.00648197 0.19692028 0.00076798 0.00553992 -0.02023643 0.15328522 -0.20101939 0.20170833 0.00503399 0.15078531 0.20214118 -0.00908601 -0.12638961 -0.01275609 0.14143558 0.11500941 0.1688604 0.00629888 0.00325335 -0.00331938 0.00617712 0.05139096 -0.15405686 -0.0003221 -0.00569341 -0.01589654 -0.03078597 0.00347229 -0.02870321 0.17188177 -0.07470976 -0.00283248 0.00579566 -0.00616738 0.01900088 0.01943774 -0.10355367 -0.00849018 0.01046666 -0.00352568 -0.13021906 0.17329991 0.08567227 -0.00297825 0.14876679 -0.1282359 0.00875457 -0.13022794 -0.17440279 -0.01641056 0.00279192 -0.07035712 -0.00337328 -0.00788856 0.10876881 -0.13510956 0.00396469 -0.01885453 0.00088335 -0.03900138 0.11670561 0.04952185 -0.01359529 0.07568602 -0.02629252 0.00920967 0.01794762 0.00344817 -0.00722676 -0.05908131 0.04155938 0.09062916 -0.00554283] Cos Similarity tf.Tensor(0.09878373, shape=(), dtype=float32) (128,) (128,) [ 2.21509039e-01 1.54934973e-01 4.78676893e-02 2.76757050e-02 1.56851765e-02 -1.14275664e-01 -1.81432534e-02 1.21510047e-02 -1.96686573e-02 -8.80888570e-03 2.39420235e-02 2.44084075e-02 2.25876421e-02 -1.13795042e-01 2.20730454e-02 1.22693211e-01 3.56744826e-02 6.94828033e-02 -1.30531013e-01 -1.65621206e-01 -1.03418484e-01 1.64800897e-01 8.66859853e-02 1.77016221e-02 1.62430648e-02 1.49679175e-02 1.91603616e-01 8.11417960e-03 -8.95415321e-02 9.54223871e-02 -1.65659890e-01 -5.39453998e-02 -2.45145410e-02 4.86271456e-03 6.18925057e-02 1.97294299e-02 4.34760936e-02 -1.73481807e-01 -5.24851307e-02 -3.48098129e-02 2.21914768e-01 -1.58078391e-02 -3.06095695e-04 -7.68297771e-03 1.86390907e-01 5.31228669e-02 4.07305779e-03 1.90833192e-02 2.41891649e-02 1.08595332e-02 1.64233670e-02 1.46208815e-02 2.78529804e-02 1.50697203e-02 3.49638090e-02 3.97273116e-02 1.75953448e-01 -3.31338830e-02 3.73980440e-02 1.49442758e-02 2.33618338e-02 -2.20678791e-01 1.62544087e-01 2.02056319e-02 2.05017000e-01 -5.52980565e-02 9.98670328e-03 1.47084683e-01 3.30456458e-02 5.50282933e-02 -9.39953700e-02 1.07181363e-01 2.18834830e-04 -4.16874932e-03 8.84579029e-03 3.58454399e-02 -3.95648219e-02 5.00418246e-02 -2.70912312e-02 -3.31646577e-02 1.83895174e-02 -9.90413129e-03 1.95636116e-02 -1.44066244e-01 -1.23647451e-01 5.11116013e-02 -5.03998734e-02 1.94450766e-02 -7.34139280e-03 -1.67614102e-01 -4.65420000e-02 -1.65315017e-01 2.02026498e-02 3.35676037e-02 1.65172592e-02 3.59820165e-02 -9.64218080e-02 -1.57878742e-01 1.46725494e-02 -8.26053619e-02 1.57168582e-01 -1.85603991e-01 -6.23895675e-02 -1.06848665e-02 -6.66912456e-05 -3.70705388e-02 1.02685548e-01 1.27158547e-02 1.94702335e-02 -8.95928964e-03 1.96184907e-02 3.36802155e-02 1.81512274e-02 -1.45690709e-01 -8.19881260e-02 2.02403396e-01 -7.77984485e-02 -9.84507613e-03 -4.55690734e-02 9.34812240e-03 1.83833987e-02 -2.45771687e-02 2.04970920e-03 5.14120236e-03 -2.14802980e-01 8.85010064e-02 -5.14595546e-02 -1.01385936e-02] [ 0.13420065 -0.03673478 0.05276716 -0.01282667 0.04503789 -0.03696617 -0.04294029 -0.03217333 -0.00559764 0.01896156 -0.11209569 -0.0028209 0.05038326 -0.04080767 -0.00484073 0.15980457 0.01202662 0.05796593 0.06352643 0.0918152 -0.11404648 0.06211255 0.12535118 -0.05761622 0.03343786 0.00468695 0.17819647 0.01890128 0.05497715 -0.08205248 -0.21535474 0.1359349 0.0324598 -0.00063927 -0.01086637 0.01162399 0.05002964 -0.1637213 -0.02796984 0.09550103 0.19090067 -0.00085612 0.00675198 0.00879234 -0.04537335 0.03231561 0.03099361 0.02756262 0.0418616 0.01494813 0.02214738 0.00643463 0.07413588 0.03074544 0.07339376 0.03158832 0.00857173 -0.01865518 0.0513313 0.02975089 0.14320533 -0.10046908 0.18927303 0.04798979 0.04983684 0.19675516 0.00233858 0.18040779 0.04938953 0.06509804 -0.09619091 -0.08850577 0.01023796 -0.00648868 0.0304107 0.07692697 -0.15609454 -0.12484028 -0.01053367 0.13042817 0.04451274 -0.01272447 0.0233157 -0.20527089 -0.22357646 -0.03274696 0.08265826 0.05522158 0.03263756 0.07658523 -0.03383597 0.02007442 0.03283167 0.06008292 -0.01455469 0.10670936 -0.00748754 -0.19170368 0.02280677 0.18442482 0.1943981 -0.12049327 0.02722864 0.15990376 0.04419275 -0.02905245 0.04218505 0.01432344 0.03927454 0.10758208 -0.01263275 -0.14468534 0.02054871 0.00572694 -0.02649776 0.23638931 -0.11008257 -0.00209928 0.10320202 0.00125284 -0.01199293 -0.03978472 0.05161623 -0.01980287 -0.17071661 0.05525418 -0.03461456 0.00189468] Cos Similarity tf.Tensor(0.4890768, shape=(), dtype=float32) (128,) (128,) [ 0.01818174 -0.16373546 0.04093558 -0.13565704 -0.00418562 0.09287252 -0.13975622 0.09727688 0.01996717 0.00854743 -0.08928397 0.02584898 0.01658738 0.01331173 -0.06463876 0.13663153 0.02633921 0.16115464 -0.02780314 -0.01661242 -0.07294173 -0.16817585 -0.00257263 -0.10487454 0.03229926 0.00703974 -0.06933641 0.02111276 0.0985954 0.14559226 0.03178895 -0.14573117 0.02172343 0.01838192 -0.1700653 0.02150634 0.03777852 -0.02085028 -0.04695134 0.02463719 0.01889609 0.03877057 0.00319366 -0.01071053 -0.05176557 0.1071024 -0.02472613 0.00630308 0.02581675 0.00521162 0.00049258 0.00402605 0.0399804 0.02280235 0.02888196 0.02216606 0.11265019 -0.00413817 0.02780624 -0.0100732 0.16579144 0.17469354 0.18020187 0.02991566 -0.16687614 -0.06010541 0.01801685 0.12213564 0.02010203 0.1682389 0.15379545 0.10808796 -0.00143144 0.04774809 0.00170705 0.05169167 0.05144468 -0.12618285 -0.02950505 0.1479989 0.02119802 -0.00523629 0.01913922 -0.07434531 -0.05231652 0.14624572 0.07893345 0.02187401 0.00569983 0.03355107 -0.18487225 0.09537046 0.01605624 0.02812669 -0.02914725 0.17739633 -0.16924284 -0.14529413 0.01848889 0.13549945 0.1524989 -0.179195 0.03211212 0.03157163 0.01906123 0.05680061 -0.09862787 -0.03016964 0.03137586 -0.17052387 0.12459473 -0.15632391 0.00971008 0.12713808 -0.01900407 0.13979362 -0.16516964 -0.05217295 0.18322049 0.01439838 0.02385548 -0.04497293 0.02804238 -0.00241176 0.01441825 0.02903387 -0.0577945 0.01638479] [ 1.7244561e-01 -8.7586023e-02 4.7062017e-02 -9.5516451e-02 -1.2294379e-02 -1.1235225e-01 -1.3282676e-01 5.1685281e-02 4.3278998e-03 -5.7942900e-03 -1.8244328e-01 -1.9654347e-02 9.0425853e-03 -1.0288447e-01 3.4212209e-02 2.0819399e-01 -6.4354693e-03 1.0760086e-01 1.3621320e-01 -1.9480566e-02 -6.1837465e-02 -6.9205306e-02 -9.2574723e-02 9.4975390e-02 -2.3851125e-03 9.4929282e-03 1.1578224e-01 -1.4266841e-02 1.6754748e-01 -6.2295604e-02 1.5809877e-01 -1.5851460e-01 5.4612048e-03 -1.5125359e-02 -1.6172095e-01 1.9707162e-02 -8.6709792e-03 1.7117796e-02 -8.2413573e-03 1.0117239e-01 -1.1780132e-02 -3.0595502e-03 -2.1594272e-04 -7.8828720e-04 4.8224941e-02 -1.4972967e-01 8.4394865e-02 3.5696118e-03 1.0867975e-02 -9.8109085e-05 3.4137410e-03 3.9984602e-03 1.6667955e-03 1.0413689e-02 5.9092450e-03 8.9054052e-03 -1.9782066e-01 -4.5815608e-04 -1.4307416e-02 -1.3813649e-03 -1.4663811e-01 1.8246415e-01 1.9580211e-01 6.9474014e-03 -1.4378367e-01 1.0335637e-01 -3.5794487e-03 1.4023347e-01 -3.8845814e-03 -2.5721796e-02 1.7731156e-02 -6.9573872e-02 -3.5498873e-03 3.8584662e-03 -9.0987161e-03 6.9181579e-03 -8.5196547e-02 -1.1886563e-01 1.5703638e-03 1.8706615e-01 -1.2694969e-02 -6.6322596e-03 -2.6339339e-03 1.3557550e-01 -3.8881466e-02 -1.7946807e-01 -1.3955814e-01 1.1729620e-02 3.1515679e-04 1.3111748e-01 -2.1495789e-02 4.8067242e-02 6.9484781e-03 9.8826631e-04 -1.5454797e-02 -2.9994996e-02 -1.4810040e-02 2.7038692e-02 6.7499732e-03 7.5919949e-02 1.0567267e-01 2.0009825e-01 -3.7545629e-02 3.6010303e-02 -1.0590994e-03 1.6131289e-02 1.8301514e-01 4.5232426e-02 7.4859429e-04 -1.6035448e-01 -7.8932546e-02 -1.8747516e-01 7.6575847e-03 1.8126218e-01 -5.7519805e-02 1.6064681e-01 -6.8653233e-02 -1.8949104e-02 -3.2825600e-02 -3.4968061e-03 2.6006587e-03 3.5589378e-02 -8.0375802e-03 -6.7092422e-03 -1.7949651e-01 4.9497522e-02 3.5816601e-03 -4.0150266e-03] Cos Similarity tf.Tensor(0.25875103, shape=(), dtype=float32) (128,) (128,) [ 1.72731116e-01 5.67498282e-02 1.02971241e-01 1.62595972e-01 -3.86992906e-04 -5.24576977e-02 1.77555889e-01 2.13072877e-02 -6.72495342e-04 -4.58501885e-03 -3.59381437e-02 -3.95275492e-05 1.93040986e-02 1.51332662e-01 6.28648624e-02 -1.09610707e-01 -9.46392864e-03 1.42667189e-01 2.24866122e-01 5.15764207e-02 7.39090890e-02 1.14548288e-01 2.13977709e-01 2.26920680e-03 -9.13068000e-03 1.22694531e-03 2.11153135e-01 -5.45270136e-03 -7.35483393e-02 1.45705596e-01 -2.02519923e-01 1.48379922e-01 2.69550178e-03 4.25107824e-03 7.50577599e-02 1.74565781e-02 3.76888830e-03 -1.86642021e-01 -3.01493821e-03 8.87291282e-02 3.03386152e-02 -5.93697559e-03 4.24734899e-05 6.31308230e-03 1.56389788e-01 7.56786093e-02 7.04922760e-03 6.94172038e-03 5.45085734e-03 2.46653217e-03 2.94760522e-03 1.08752698e-02 -6.90534525e-03 2.29070731e-03 -4.95043118e-03 8.83434992e-03 8.11506137e-02 -5.46821672e-03 3.22177797e-03 2.98543577e-03 -1.46315128e-01 1.54101267e-01 -4.59052436e-02 -8.19196180e-03 -8.13985914e-02 -8.38417187e-02 -7.27824867e-03 1.57355115e-01 1.19559106e-03 8.73549879e-02 5.88637814e-02 -1.22922935e-01 7.52682611e-03 4.96464502e-03 3.97801585e-03 -2.01857649e-03 1.20706871e-01 1.78006589e-02 2.27154131e-04 1.31579369e-01 -1.85835408e-03 -5.33802202e-03 3.11789592e-03 1.11443490e-01 -7.90188089e-02 2.07651630e-02 -1.22457556e-01 1.09960297e-02 4.46805172e-03 9.00678262e-02 -1.92934111e-01 1.88596949e-01 -4.82299831e-03 1.27016893e-02 1.15794968e-02 1.79408684e-01 -1.31313831e-01 -1.04964383e-01 1.24827155e-03 -1.66562930e-01 3.69113088e-02 5.46667762e-02 1.49666891e-01 -8.18257034e-02 1.54106261e-03 -1.23357698e-02 1.07564643e-01 5.33842249e-03 -7.43640354e-03 -1.08157136e-02 8.04194212e-02 1.20685205e-01 -1.87343115e-03 -1.18657634e-01 6.39640307e-03 1.17365599e-01 1.21731967e-01 -1.29254982e-02 1.09534025e-01 9.79453442e-04 3.51318554e-03 1.10347681e-01 -1.67066008e-02 -2.23267339e-02 -1.12551071e-01 2.67739245e-03 1.78641565e-02 -5.60396165e-03] [ 1.83995202e-01 2.11747959e-01 9.58642364e-02 -2.02017292e-01 6.17747335e-03 5.99146029e-03 1.42713189e-01 1.09422440e-02 8.18979740e-03 5.50011965e-03 -1.63983226e-01 6.09993329e-03 4.09952253e-02 4.01216708e-02 -8.47012177e-02 -6.04105555e-02 3.08688767e-02 2.02238187e-01 1.62011355e-01 -7.85773322e-02 1.33245528e-01 3.77582572e-02 -1.53875738e-01 1.28815725e-01 3.43489200e-02 -1.01218242e-02 7.57786110e-02 2.49431524e-02 -4.54057269e-02 8.81448016e-02 -1.28997743e-01 7.14032874e-02 3.41577530e-02 3.22378501e-02 1.47232816e-01 2.16253176e-02 -1.23327540e-04 1.25553817e-01 -2.50963755e-02 1.16647847e-01 -2.05793947e-01 -1.60283800e-02 -7.98940565e-03 2.28998461e-03 1.89965218e-02 -3.07205804e-02 -7.85977244e-02 3.97741199e-02 3.22800130e-02 -9.33466293e-03 -8.24601389e-03 8.32818635e-03 3.24534066e-02 2.45464575e-02 3.39407325e-02 2.20316947e-02 1.04133017e-01 -2.44983443e-04 3.29207187e-03 1.60532519e-02 3.40222828e-02 -7.83790126e-02 2.16871709e-01 -7.07097864e-03 -5.43443896e-02 -7.61782825e-02 -5.80388401e-03 1.25830755e-01 1.96764320e-02 9.12107378e-02 -5.33473715e-02 -1.42671987e-01 -1.82610413e-03 1.65467728e-02 7.92298745e-03 2.56150048e-02 1.35965452e-01 -5.18681034e-02 7.01473793e-03 2.23623857e-01 1.30812014e-02 -2.34489189e-03 1.36354873e-02 -1.56205773e-01 -1.05848443e-02 -3.18911336e-02 3.70589830e-02 2.48411540e-02 1.37841851e-02 1.31545335e-01 -2.18681693e-02 1.15122966e-01 2.31844615e-02 1.44449919e-02 4.19081263e-02 -1.03241690e-01 1.35021403e-01 -1.42642707e-01 8.58711824e-03 -2.44343132e-01 6.86006919e-02 -6.95288405e-02 1.00663193e-01 1.49342358e-01 4.03126795e-03 -3.37688103e-02 -3.78308930e-02 2.05966108e-03 2.49706600e-02 -1.64435297e-01 6.47847056e-02 3.08750421e-02 2.63298452e-02 -5.94619513e-02 -6.33644313e-02 -1.74902439e-01 1.03766255e-01 -8.35100375e-03 1.07427098e-01 8.13260116e-03 -1.83105413e-02 -2.16901973e-02 -4.06326950e-02 -1.46987410e-02 9.51234028e-02 -5.40839648e-03 -1.03461109e-01 3.88052710e-03] Cos Similarity tf.Tensor(0.2849169, shape=(), dtype=float32) (128,) (128,) [ 9.89865437e-02 1.82407752e-01 5.95280305e-02 2.22565327e-02 9.19683184e-03 -1.12413138e-01 9.61702317e-02 1.08747229e-01 -9.21350159e-03 6.59729494e-03 1.05163202e-01 -1.83410442e-03 6.38928730e-03 4.77118082e-02 7.52237737e-02 1.54212505e-01 2.41927132e-02 -1.81062907e-01 -1.87694073e-01 -4.22699526e-02 -1.76172361e-01 1.91291217e-02 -1.11704409e-01 2.67093107e-02 -1.31848725e-02 -8.26466887e-04 -1.60630882e-01 -5.13078552e-03 -1.15901753e-01 3.04541942e-02 1.53862491e-01 8.23855251e-02 2.37787571e-02 1.62551124e-02 -2.98099499e-02 -1.11052208e-02 2.83531919e-02 2.04660982e-01 1.94419008e-02 7.39214569e-02 -5.94969653e-03 1.18930554e-02 4.26332094e-03 -1.55857224e-02 -1.28521090e-02 -1.57808304e-01 -2.74664164e-02 3.61360125e-02 2.76773460e-02 2.26887614e-02 8.81052483e-03 -3.50319385e-03 3.31684537e-02 2.28444822e-02 3.23544890e-02 -5.54648321e-03 -1.33778770e-02 1.18436767e-02 1.60288103e-02 -2.83700577e-03 1.99718952e-01 6.13495009e-03 -1.05265118e-01 1.34823928e-02 1.75591893e-02 -1.82657279e-02 1.11589236e-02 1.79584652e-01 2.75446731e-03 -3.78784686e-02 -1.25578448e-01 1.70635194e-01 -5.10892773e-04 2.95670852e-02 1.38667377e-03 3.95937525e-02 4.93071713e-02 1.88650265e-02 4.55614971e-03 1.79026499e-01 -2.81477650e-03 7.60112237e-03 1.54797605e-03 -1.26009643e-01 -1.75112754e-01 -2.90786754e-02 -1.91418231e-01 1.78774390e-02 8.67555756e-03 1.34554818e-01 1.19844161e-01 -2.02727556e-01 1.27672998e-03 9.08096787e-03 1.06383217e-02 1.82438627e-01 1.74855530e-01 -1.60467312e-01 1.77052832e-04 1.68861493e-01 -7.25450814e-02 -1.52359769e-01 6.58836961e-02 8.50518122e-02 1.13921426e-02 2.50569787e-02 -8.51173475e-02 9.65389796e-03 1.85111314e-02 1.47871420e-01 1.43807054e-01 -4.58850153e-02 1.62334871e-02 -5.70963509e-02 -9.47074741e-02 1.70988604e-01 -5.83561137e-02 -5.08814864e-03 5.15299179e-02 -4.25529219e-02 -1.33611625e-02 6.12837933e-02 3.20370160e-02 -9.87996627e-03 1.16597354e-01 -4.30454016e-02 -1.55350007e-02 -4.10098722e-03] [ 0.05467013 0.10394612 0.07280108 0.11894961 0.00573937 0.02527743 -0.15013066 0.05658886 0.00851692 0.01293344 0.19050835 0.03191281 0.03857191 -0.15651783 0.14944205 0.15414187 0.04929332 -0.0126187 -0.19637398 -0.10405644 -0.1925095 0.08625761 -0.12606378 0.05627463 0.0335389 -0.00356385 0.01058732 0.00431729 0.042195 -0.09694543 0.15300152 0.14030439 0.06667089 0.0457454 0.13437235 -0.01070438 0.06128773 -0.05847167 -0.0315577 0.14557023 0.10287028 -0.00325421 0.00934128 -0.01124066 -0.07028756 -0.1782701 -0.04876979 0.05333016 0.04408494 0.03127108 0.01650498 -0.00483889 0.07574618 0.02532405 0.06201937 0.03656902 0.12683451 -0.00381795 0.02985708 -0.01083569 0.1392171 0.04519302 -0.01133394 0.03443479 -0.11585934 0.04462485 0.02326182 0.1631476 0.0516612 -0.07111689 0.0414596 0.05378261 0.00906406 0.06053452 0.02461503 0.06097837 0.14593256 0.10496229 -0.00101585 0.08816215 0.0032111 -0.00639414 -0.00878452 -0.04876874 -0.10812852 -0.0634933 0.03168498 0.02313568 0.01181664 0.16455162 0.15145414 -0.10991297 0.01716959 0.04107343 0.01254092 0.15471044 0.1474992 -0.13314347 0.01381281 0.12113241 0.0012566 -0.1589386 -0.11607465 0.17865615 0.02265634 0.04690506 0.04792951 0.01124893 0.04622972 0.152622 0.11109132 -0.15167227 0.03593153 -0.01626439 -0.10041294 0.0985393 -0.1680044 0.00095036 0.12668219 0.00353248 -0.00271913 0.05281512 0.07122412 0.0067893 -0.13941695 0.00173348 -0.05556651 0.00656094] Cos Similarity tf.Tensor(0.60723996, shape=(), dtype=float32) (128,) (128,) [-0.02118264 0.17033291 0.05478899 0.066133 -0.00733373 -0.05685236 -0.0526095 0.01202478 -0.00455671 -0.00467281 -0.25663137 -0.01500001 -0.00034151 0.05342913 0.10205872 0.16671224 0.00246192 -0.097477 0.10422183 0.08698914 -0.14938264 -0.0570613 -0.11576203 0.04958096 0.00360865 0.00133981 0.12937528 -0.01882884 0.14042577 0.18729082 -0.17339915 0.10705677 -0.00367763 0.00241039 -0.14482695 0.00563239 -0.00080181 0.0449646 0.00209407 -0.04696492 0.09581539 -0.00119866 -0.00405493 -0.00139264 -0.14752342 0.18351828 0.10039361 0.01041451 0.01055613 0.00898299 0.0045211 0.0068363 -0.01502018 0.00582951 0.00176122 0.01417921 -0.14119738 -0.01245645 0.00437562 -0.01611584 0.07740366 -0.13870825 0.10153765 -0.01179734 -0.18718553 0.10602544 -0.01181019 0.10436743 0.00448141 0.03259971 -0.01306696 0.09403027 -0.00287801 -0.00107079 0.00053113 0.01873167 0.1157532 0.08302581 -0.00399854 -0.05646281 -0.00660037 -0.00233945 0.0095795 -0.04535857 -0.15412141 0.13648862 0.19798823 0.00354671 -0.00817968 -0.03176122 0.04290521 0.12519412 -0.01217074 0.01104803 0.00286135 0.17726746 -0.09255517 -0.21017805 -0.00938211 0.05836919 0.06176066 0.03248921 0.04662308 -0.08688624 -0.01252212 -0.01414543 0.15421142 0.00396069 -0.00741307 -0.11612938 0.14462203 -0.08061312 0.00229242 -0.09222099 0.04529211 0.05244162 0.15269043 -0.01317358 0.14746542 -0.00565109 0.0063772 0.16886619 -0.00857529 -0.03088602 -0.22216284 0.01250375 0.10443829 -0.01557032] [ 0.19998904 0.19571581 0.03064309 -0.13195376 -0.00602685 -0.09816369 0.0355831 0.06230399 0.0037115 -0.0086771 -0.19084935 0.01667785 0.01953637 0.06535311 0.1430626 -0.00889261 0.01069127 -0.08836061 0.14182013 0.00435832 -0.12096547 -0.17489552 -0.07650889 0.03344837 0.0070683 0.01262658 -0.04254067 -0.00335864 0.17462614 0.140713 -0.14928369 -0.0032773 0.00309046 0.02497721 -0.08598709 -0.01440091 0.00337606 0.13106342 -0.02051676 -0.09196328 0.01990642 -0.00052412 0.00196801 0.00978433 -0.2003116 0.18187739 -0.11344714 0.02594256 0.01423512 0.01531496 0.00520394 0.00563536 0.00867559 0.01262248 0.01592748 0.00952387 0.13723801 -0.02572127 0.01951723 -0.00458968 0.01895381 -0.06671216 0.0598967 -0.00996686 -0.14550914 0.18768571 -0.01139556 -0.07907957 0.01945503 0.1081084 0.05488372 0.05097021 0.00393193 0.01459558 -0.00403746 0.02639251 0.09804197 0.0168326 -0.01097613 -0.19055161 0.016294 -0.00846409 0.01311195 -0.14883102 -0.11681304 0.06978207 0.15659806 0.01172584 0.00192746 -0.10259707 0.0964367 0.14519449 0.00952251 0.0147869 -0.00621652 0.1926044 -0.10808896 -0.21493398 -0.005863 -0.19476703 -0.02191766 0.04173291 -0.02543263 0.05151387 -0.00533065 -0.02302992 0.19072981 0.00439731 0.001318 -0.08260868 0.13715151 0.13535066 0.00736543 -0.01600138 0.04122796 -0.09930432 0.15643951 -0.00336952 -0.00804167 -0.00396126 -0.00760406 0.02715302 -0.01672178 -0.01597606 -0.16844997 0.00959945 -0.00072607 -0.01488993] Cos Similarity tf.Tensor(0.64619017, shape=(), dtype=float32) (128,) (128,) [-9.73516926e-02 1.94364041e-01 2.94468869e-02 -1.39082193e-01 3.78043321e-03 -3.96071002e-02 3.33344862e-02 1.01235837e-01 5.29572507e-03 -1.47464620e-02 -1.89249635e-01 1.04351761e-02 -2.74119503e-03 1.17572285e-02 8.74884352e-02 -1.46320969e-01 -2.71094707e-03 -2.06627697e-01 -3.84526439e-02 -1.56096116e-01 3.96872498e-02 1.73651144e-01 -1.96715504e-01 1.50591388e-01 4.65317396e-03 8.58318806e-03 1.97175872e-02 4.88474849e-04 -1.95060194e-01 -1.71841443e-01 -9.30268392e-02 -1.74092680e-01 -1.33591872e-02 -9.84348264e-03 1.06934749e-01 -6.76463544e-03 -2.99887452e-03 -1.12969875e-01 -6.31852355e-03 -1.07792109e-01 -1.02751553e-01 -6.25953602e-04 -1.54604660e-02 -1.39814727e-02 1.86042041e-01 -4.44607474e-02 8.91407803e-02 -2.01436337e-02 4.02073050e-03 -3.52067337e-03 8.09858181e-03 1.65355421e-04 -1.57036427e-02 8.24533124e-03 -4.63687489e-03 1.14454227e-02 -1.33249581e-01 3.37317656e-03 -1.11669553e-02 1.28626879e-02 7.52732605e-02 -1.48975044e-01 1.08605526e-01 -3.75373801e-03 5.30860238e-02 1.71880096e-01 -3.32516269e-04 -1.34709422e-02 -2.21141037e-02 1.32294759e-01 -3.37796025e-02 1.57300815e-01 5.52848727e-03 -6.38308143e-03 8.01044423e-03 3.80568113e-03 -1.10087425e-01 2.82316525e-02 -3.24167567e-03 -1.51053771e-01 -2.32489183e-04 1.59178488e-02 6.74379990e-03 -1.65593192e-01 -6.19233437e-02 4.58446778e-02 -7.33458325e-02 9.75777395e-03 -1.24777351e-02 -1.56918936e-03 -6.28866255e-02 1.64023608e-01 -4.87995148e-03 1.01688337e-02 4.87436075e-03 -1.24977790e-01 -1.66334081e-02 -1.51736766e-01 2.48571881e-03 -1.59623846e-01 1.88982844e-01 -1.28302261e-01 6.17744252e-02 -5.52393645e-02 -5.20066917e-03 -1.51726510e-02 -8.37708358e-03 1.44294742e-02 -1.24618113e-02 -5.22051454e-02 1.14164226e-01 7.55762830e-02 -2.28776294e-03 1.56737089e-01 6.26540743e-03 -1.90566793e-01 4.80463989e-02 1.20671734e-03 -1.34442106e-01 -1.41502740e-02 -4.36598994e-03 4.61203530e-02 1.34421512e-02 -1.88409779e-02 -1.22833513e-01 8.35213214e-02 -2.54214443e-02 1.94908353e-03] [-0.10760354 0.14611518 0.08127445 -0.16033803 -0.00099164 -0.03466139 0.06649757 0.21397515 0.00582888 -0.00097691 0.04609621 -0.01123962 0.00198567 0.03675304 0.05380061 0.1939307 -0.01064049 0.03928884 -0.03896436 -0.17005211 0.17466529 0.06850621 0.03787101 0.0939711 0.00793005 0.00583741 0.07280751 -0.01063492 0.12590131 -0.10940115 0.10305914 0.22556885 -0.00587356 -0.02580602 -0.05532127 -0.0056881 -0.00798141 -0.06373286 0.001003 0.00762148 0.10334887 0.01058565 -0.00071599 0.01446131 0.07976187 0.11273713 0.05166737 -0.00402537 -0.01008317 0.00532342 0.01534104 0.00739528 -0.00068408 0.00260421 -0.00584223 0.01444967 -0.13920192 -0.00571653 -0.00239676 -0.00916709 -0.19194412 0.1515614 0.17771107 -0.00445863 -0.17744535 -0.07181635 -0.00371295 -0.02645661 -0.00347943 -0.1829839 -0.0275822 -0.16640884 0.01316094 0.00118578 0.01143327 -0.00533357 -0.07337693 -0.1848563 0.00625507 -0.0654695 -0.0174466 -0.00318794 -0.00830727 -0.09616199 0.02692105 0.17233422 -0.16523595 0.00831921 -0.01306372 -0.09491996 -0.22093701 0.04449187 -0.03254687 0.01836802 0.01115375 0.20928259 -0.01957879 0.02272103 -0.00530594 0.12715162 0.11929163 0.09087862 0.17744929 0.17831334 0.00249897 -0.02880049 -0.00351383 -0.00454849 -0.01119335 0.00176981 -0.02205231 0.05021147 0.005921 -0.01826033 0.00118356 -0.16221039 0.0740205 -0.02086821 0.06838156 -0.01077637 0.00674773 0.05209716 -0.00179706 -0.03173189 -0.20942299 0.02884894 0.07433669 0.00055881] Cos Similarity tf.Tensor(0.0688181, shape=(), dtype=float32) (128,) (128,) [-0.17451221 0.03216567 0.05158972 -0.02648912 -0.0083886 -0.02559491 0.02068375 0.17750327 -0.01208907 -0.00081439 0.14071074 0.0273513 0.00189266 0.04807421 -0.00891433 -0.13794954 -0.01032303 0.03775072 -0.11711013 0.00306898 -0.11399681 0.02403435 -0.13957547 0.02798502 0.00407533 0.02048031 -0.06784202 -0.00127139 0.10766325 -0.19596925 -0.0476024 0.04201891 0.00666081 0.00742127 0.02928625 -0.0072242 -0.0003927 -0.19388463 0.00275562 -0.06337171 0.2224581 0.0014751 0.0053457 -0.0029698 0.15118414 0.21065666 0.02566004 -0.00885482 -0.01392884 0.01695194 0.01808237 0.01390201 0.00571888 0.0075658 -0.00285547 0.02203962 0.10431342 -0.01664614 -0.00038139 -0.00336228 -0.20241968 0.03721392 -0.03369729 0.00481014 0.06131967 -0.14044215 -0.01192198 -0.15356602 0.00899401 0.21063578 0.07594014 -0.04860006 0.00705642 -0.0038219 -0.00647578 -0.02166976 0.12079963 0.12957162 -0.00115285 0.18136068 -0.01548537 0.00186062 -0.00878373 -0.13181527 -0.18594292 0.15924549 0.14039263 0.00879419 -0.00966841 0.12782767 -0.11886181 -0.11406501 0.01462522 0.01004036 0.00835779 -0.02493798 0.12644283 -0.22903347 0.00068566 0.11508281 0.00370033 -0.04054193 0.06617212 -0.0837482 -0.0008061 -0.04425178 -0.04962548 0.00453551 0.00396353 -0.16958167 0.0795304 -0.18285128 0.00485295 0.02454222 -0.00970769 -0.18367884 -0.01859369 -0.01181251 0.00349412 -0.00258766 -0.00672297 0.06488989 0.02011165 -0.04412223 -0.22306073 -0.00153661 0.00902587 -0.00767978] [-0.16746831 -0.0584242 0.04626025 -0.03788764 -0.00312658 -0.01135176 0.09711784 0.10440832 -0.00528496 0.01750596 0.12533896 0.04036712 -0.00462616 0.06915768 -0.01844175 -0.13815533 0.01768919 0.11604703 0.00715697 -0.0787314 -0.1718908 -0.04026332 -0.03568951 -0.10336875 0.00790773 0.02948331 -0.08522604 0.0035317 0.01895475 -0.08455333 -0.2076649 0.05112113 0.02027053 0.04545551 0.19337262 0.02462498 0.02915447 -0.19497073 -0.02804975 -0.07273782 0.0768799 -0.00501037 0.01714846 0.03271576 0.1848245 -0.03224421 0.00620998 0.02088885 0.0088235 0.04150668 0.03073264 0.02103678 0.03471616 0.01362067 0.02970441 0.04876785 0.06608319 -0.03290497 0.02081695 0.00822085 -0.05544263 0.01473107 -0.13547774 0.03490492 0.1429214 0.01124867 0.01477239 -0.03222498 0.01099022 0.23430063 0.15907729 0.00676235 0.02125992 0.0129321 0.00695879 -0.01165135 0.08960704 0.06406538 -0.02661098 -0.02086543 -0.0152157 -0.03115517 -0.0004332 -0.18521914 -0.16556911 0.1716769 0.0594748 0.01747715 0.01138278 -0.1282643 0.00390091 -0.1308325 0.01994396 0.01553007 0.02439869 0.14879647 0.10837816 -0.24380563 0.0073553 -0.04221596 0.16663943 -0.04682153 0.18128347 -0.11440953 0.01356109 -0.05948814 -0.03084104 -0.00036917 0.01778532 0.16517046 -0.04138405 -0.18175851 0.02141787 0.04186096 -0.03521568 -0.1898531 -0.00916921 -0.02178064 -0.1568706 0.01628875 -0.01454092 -0.06634364 0.04843409 -0.02505766 -0.22403507 0.05567499 -0.03979114 -0.00106097] Cos Similarity tf.Tensor(0.6204276, shape=(), dtype=float32) (128,) (128,) [ 9.67447460e-02 -1.17994234e-01 -5.02054542e-02 1.64593719e-02 -7.29278568e-03 -4.79424931e-02 6.88349977e-02 -2.29073673e-01 6.35562232e-03 2.54479540e-03 1.45794496e-01 -1.11671828e-03 -9.73136513e-04 8.48543644e-02 1.34442300e-01 7.48605728e-02 -1.57512687e-02 1.14504695e-01 -1.87564015e-01 -9.09170210e-02 2.28275768e-02 -7.34578818e-02 -1.91580936e-01 -7.26745650e-02 1.50961662e-02 1.50058856e-02 -1.33880645e-01 -2.40840409e-02 -2.18911007e-01 1.09339178e-01 6.98647574e-02 -4.55782004e-02 -3.80700896e-03 -2.07942650e-02 3.73173459e-03 8.02301150e-03 -1.02736987e-02 -1.63440570e-01 7.78603368e-03 -1.41619951e-01 -1.26465932e-01 7.09770294e-03 -1.22855790e-02 7.58993952e-03 -1.08508497e-01 -1.43512234e-01 -5.40615525e-03 -9.93101113e-03 -6.61447272e-03 5.75102121e-03 8.75596516e-03 -1.33142737e-03 -1.48892282e-02 5.17558772e-03 -1.35313831e-02 3.60434689e-03 -1.15127377e-01 7.67416263e-04 -1.28483688e-02 -1.39968339e-02 1.09712712e-01 -1.69062957e-01 -7.04519683e-04 -1.13412794e-02 -1.31154060e-01 1.25801250e-01 -1.54655641e-02 1.26709163e-01 -2.51169894e-02 -1.77869558e-01 1.21252313e-01 1.05420634e-01 4.05672425e-03 3.86661990e-03 -2.24003997e-02 2.08660658e-03 7.98954256e-03 6.51809797e-02 9.79296630e-04 1.13705665e-01 -8.46762210e-03 -7.68291652e-02 -4.80467081e-03 -1.98025212e-01 -1.49000585e-01 -1.07477851e-01 8.05339366e-02 1.73782033e-03 -1.42627358e-02 6.14314899e-02 -1.28562031e-02 -2.13949382e-01 -8.26734770e-03 1.21952500e-02 -4.48190374e-03 2.46380031e-01 -6.35115430e-02 1.96815864e-03 3.74367693e-04 1.24231819e-02 -3.75739001e-02 1.12434387e-01 -1.09659374e-01 6.60711527e-02 -3.88165051e-03 -1.83485895e-02 -1.23686716e-01 1.86292827e-02 1.66155363e-03 3.23641002e-02 -3.26593705e-02 1.91838846e-01 1.02015550e-03 1.69187840e-02 2.06055827e-02 -1.59902409e-01 -1.02692336e-01 1.31972518e-03 7.16672614e-02 4.13371203e-03 -1.60128184e-04 7.36532584e-02 5.36931492e-03 1.82930883e-02 1.97191656e-01 9.90386754e-02 1.13247812e-01 -1.29136080e-02] [ 0.04995279 0.13339724 -0.0134762 -0.11159308 -0.02915776 -0.04234412 0.18075119 -0.23461337 0.00369337 -0.01263176 0.20598021 -0.00717379 -0.00095703 -0.05692391 0.07307712 -0.0961832 -0.01168208 -0.09593865 0.10659003 -0.09488065 0.23560072 -0.13536088 -0.11160876 0.00407757 0.00098818 0.00682339 -0.13563342 -0.03983426 -0.10815535 0.13141462 -0.13218234 0.02225817 -0.00290559 -0.01734988 -0.08206416 -0.0150864 -0.00477388 -0.14962251 0.01310428 0.02880399 0.10398601 0.00191917 -0.0204789 0.00737858 -0.09654395 -0.06437318 0.15398538 0.0090421 0.01428933 0.02127706 0.00775113 -0.00131458 -0.0157651 0.01057893 -0.00995415 0.00888295 0.01713721 0.00326013 0.00734087 -0.00433853 -0.07958546 -0.21051374 -0.00236338 -0.01882529 -0.10876305 0.05579104 -0.0185625 -0.02103716 -0.0257466 -0.05171013 -0.00528041 0.1364779 0.00452589 -0.00849063 -0.03605241 0.01381989 0.05082105 -0.07982678 0.00206125 -0.00274153 -0.00729442 0.00187062 0.01106317 -0.21906719 0.03023564 -0.11185558 -0.23092224 0.00438805 -0.01599681 0.12110014 -0.02156636 -0.14656311 -0.00922312 0.00621218 -0.01826622 0.2421572 -0.04182523 0.05682812 -0.0159952 -0.17442916 0.08844693 -0.15938702 -0.12782262 0.17677116 -0.01242259 0.00331089 0.10187874 0.02643109 -0.00569915 -0.1043272 -0.06701756 -0.11052942 -0.02255153 0.05658975 0.05079412 -0.1413869 -0.10011113 -0.01406756 0.05722312 -0.02380963 0.00123043 -0.02020145 0.02186787 -0.01292535 -0.17911102 0.04315101 0.10527766 -0.02106161] Cos Similarity tf.Tensor(0.3560177, shape=(), dtype=float32) (128,) (128,) [-1.53351396e-01 8.27733278e-02 -2.02449709e-02 4.20301743e-02 -1.44709088e-02 1.66341364e-01 -3.40788625e-02 2.25069165e-01 3.80950887e-03 -1.00915525e-02 -3.29401977e-02 -8.95941630e-03 -1.21598747e-02 -7.41372108e-02 1.18628062e-01 -1.12210922e-01 -1.48532176e-02 4.06801403e-02 6.84477091e-02 -1.74088612e-01 -2.95294151e-02 1.84646957e-02 -5.63921407e-02 1.18883871e-01 -3.98530019e-03 3.32182413e-03 -1.52945057e-01 -1.18654259e-02 -8.16654600e-03 2.04148263e-01 2.07034379e-01 1.86426584e-02 -1.29380701e-02 -3.86319384e-02 -1.73133895e-01 -5.58531797e-03 -7.44087202e-03 1.13007367e-01 -8.95018689e-03 9.63242650e-02 2.37937331e-01 6.40005479e-03 -6.59068406e-04 3.73762064e-02 -9.03651416e-02 -3.50865051e-02 2.32299447e-01 -6.62648678e-03 9.56848636e-03 1.11703516e-03 6.83746533e-03 -2.04208330e-03 -1.97590590e-02 5.32187847e-03 -5.20896679e-03 1.08951693e-02 2.32884377e-01 -9.87462420e-03 -1.86439953e-04 -6.07926631e-03 -1.83812641e-02 -3.79561558e-02 -1.04710184e-01 -5.35772555e-03 1.37761449e-02 -1.12420425e-01 -2.22188532e-02 5.72697297e-02 -7.17275543e-03 5.43726161e-02 -9.64424461e-02 1.27244927e-02 8.27614404e-03 -3.33060697e-03 -1.25604747e-02 8.92253779e-03 -2.73168995e-03 4.91871089e-02 8.95528309e-03 -2.36431271e-01 -3.87063040e-03 -3.19472849e-02 -1.24945596e-03 1.04579158e-01 1.65088385e-01 1.24495350e-01 1.89469010e-01 5.94611512e-03 -3.55165731e-03 9.75478366e-02 1.02234140e-01 8.78544375e-02 -8.19902215e-03 1.60405170e-02 3.01278615e-03 -1.37479216e-01 -4.48468141e-02 6.79712221e-02 -1.79542787e-02 -9.64482501e-02 -4.34214473e-02 9.36232656e-02 -2.12338179e-01 -1.33239408e-03 -1.54730398e-02 -6.01646071e-03 3.76531743e-02 3.16790212e-03 -3.07672843e-02 5.77005185e-02 1.48503631e-01 1.61411893e-02 -3.97203304e-03 3.27233635e-02 1.09787688e-01 8.81050825e-02 2.45048292e-02 -8.96099955e-03 -9.32982042e-02 -4.35507577e-03 -3.27598862e-03 -1.77455500e-01 1.34433014e-02 -1.19568352e-02 -2.34296650e-01 -4.22616638e-02 5.03240526e-02 -8.98831431e-03] [-5.15437312e-02 1.99220836e-01 6.55518919e-02 7.97799006e-02 -1.80133581e-02 5.86596541e-02 -2.66350037e-03 1.89341247e-01 3.58537980e-03 -2.25798832e-03 1.43917859e-01 8.92373733e-03 -3.51959934e-05 -1.50392860e-01 9.40645561e-02 -1.16716795e-01 -4.08916874e-03 -4.70003905e-03 4.29959558e-02 -1.30715892e-01 9.37746018e-02 1.73226744e-01 -6.76505119e-02 7.83088654e-02 6.52465783e-03 6.53674128e-03 1.40350372e-01 -6.34385785e-03 1.40310973e-02 2.05325082e-01 2.10025713e-01 -4.30046320e-02 -8.05265456e-03 -9.56292730e-03 -2.90785413e-02 -1.54837444e-02 3.24192992e-03 2.03104287e-01 -3.64663289e-03 -1.02048241e-01 1.84121341e-01 4.73732315e-03 4.49362071e-03 4.08912227e-02 -1.61023426e-03 -2.15251684e-01 1.79578826e-01 5.53786615e-03 1.18505405e-02 -7.92110618e-03 3.91657930e-03 -1.01710809e-03 -8.89554620e-04 3.48478789e-03 8.44804570e-03 3.84460203e-03 2.21267208e-01 -1.25152748e-02 1.49212522e-03 -1.54629340e-02 -1.29034584e-02 -1.77626312e-01 -9.66950580e-02 1.02384379e-02 -6.34615589e-03 2.28845887e-02 -1.60596762e-02 1.80850416e-01 -9.56328306e-03 1.62689723e-02 -1.47899697e-02 -2.80194394e-02 3.64876259e-03 -4.33898484e-03 7.89663114e-04 1.39983995e-02 1.54415414e-01 -9.09977630e-02 2.48011551e-03 -1.76790014e-01 1.22301595e-03 -2.91297678e-03 7.76837987e-04 1.72525328e-02 9.93535891e-02 1.74953863e-01 1.08981036e-01 7.27608008e-03 -8.11662059e-03 -1.16500631e-02 -5.89974318e-03 1.51331782e-01 -6.89835893e-03 1.09290592e-02 1.18753295e-02 -6.04682788e-02 1.56969398e-01 -5.46697117e-02 -1.93863362e-02 -2.75540594e-02 3.42479034e-05 -7.74415433e-02 1.05706185e-01 -1.30698174e-01 -1.79062281e-02 -1.71111859e-02 1.38715459e-02 -2.20368244e-03 -2.04479881e-02 8.08406994e-02 1.36187121e-01 -1.30585022e-02 6.12522662e-03 1.16989546e-01 8.54486972e-02 1.03920951e-01 1.39250517e-01 -2.87502585e-03 -7.72085339e-02 -1.94365904e-02 -6.12295093e-03 -1.87005579e-01 2.10695229e-02 -2.34540422e-02 -2.12343648e-01 -6.50515594e-03 1.47838034e-02 -1.00442991e-02] Cos Similarity tf.Tensor(0.62912613, shape=(), dtype=float32) (128,) (128,) [ 4.29057181e-02 1.97083384e-01 7.63802007e-02 -1.08759448e-01 8.20001774e-03 9.02697071e-02 -1.29781768e-01 7.18040243e-02 1.57731585e-02 -1.62224099e-03 -1.16841644e-01 -3.96917537e-02 7.66884815e-03 -7.45060220e-02 1.44577175e-01 1.33582041e-01 4.20456147e-03 -3.72027652e-03 -1.58186052e-02 -4.34826799e-02 -2.20607519e-01 -1.59999579e-01 1.94156095e-01 -1.83570653e-01 9.42481402e-03 -5.25347004e-03 3.51758301e-02 -1.64613593e-02 -1.34435713e-01 -8.07181187e-03 -9.79285464e-02 -1.69578828e-02 1.65151004e-02 2.44448893e-02 7.93718174e-02 -3.60715133e-03 2.92401537e-02 4.91558854e-03 -1.76318064e-02 -3.41275185e-02 -5.79695776e-02 6.69643888e-03 9.56448447e-03 6.11343095e-03 1.17792927e-01 1.92448243e-01 -5.99397011e-02 1.17471572e-02 1.74453706e-02 2.33258735e-02 5.11020562e-03 4.66459058e-03 1.75878629e-02 2.01006327e-02 1.68932360e-02 2.35685352e-02 1.04066730e-01 -7.13324267e-03 1.16337519e-02 -4.97321459e-03 -6.46488089e-03 1.31808013e-01 1.64633945e-01 -1.66576169e-02 -1.46105230e-01 2.06504300e-01 -7.30607053e-03 -1.10915257e-02 9.36470926e-03 6.26177713e-02 1.14999376e-02 -1.62289888e-01 1.51177514e-02 1.94999333e-02 -6.59066020e-03 1.46302460e-02 1.74452633e-01 2.04484407e-02 -4.17358521e-03 -1.40627608e-01 -1.14291729e-02 -1.02275871e-02 1.28360875e-02 -1.01763651e-01 -1.35559753e-01 1.55717537e-01 -4.42527309e-02 1.09181115e-02 2.22069662e-04 1.11222401e-01 -9.62715670e-02 1.13627585e-02 9.75610968e-03 2.51212139e-02 -2.88144336e-03 2.25437194e-01 -1.83986162e-03 -1.85258597e-01 9.33696923e-04 -9.08276886e-02 1.03299916e-01 -1.34695858e-01 1.16774768e-01 1.26153708e-01 1.20685948e-02 2.11731121e-02 1.19289979e-01 9.04647447e-03 1.15752947e-02 -2.16093361e-01 -6.22772314e-02 -3.79997827e-02 -7.83059467e-03 -1.32860154e-01 7.21414015e-02 2.07300574e-01 7.84964114e-02 -2.13037021e-02 -4.47262302e-02 9.62138176e-03 8.94487556e-03 9.80443656e-02 8.85228440e-03 -1.13086039e-02 1.10684313e-01 -1.33409007e-02 9.08108950e-02 3.74678778e-03] [ 0.09760091 -0.166258 0.09884241 -0.20955358 0.02899569 -0.08010722 -0.09080503 0.01531077 0.02723724 0.0155141 -0.10794578 0.01084434 0.04585816 -0.10412021 0.08162756 0.03781194 0.05446162 0.05153184 -0.17470394 -0.05902734 -0.19849443 -0.00360926 0.14083678 -0.12804604 0.02014813 -0.00048522 -0.01429642 0.04108059 0.0530343 -0.15643463 0.03171793 -0.19152749 0.03925113 0.03004717 0.20239025 -0.01075921 0.05156572 0.07527302 -0.06306264 0.17464244 0.08884202 -0.00027807 -0.00460812 -0.00897937 0.08104253 0.16861111 -0.02489544 0.06832992 0.04159986 0.01370649 0.00144696 0.00781062 0.05670065 0.02732854 0.0588193 -0.00383951 0.14849776 0.02965613 0.01834315 0.03922018 0.05608827 0.01013148 0.13063805 0.02480842 -0.03183758 0.16386549 0.0105674 -0.06101532 0.05527501 -0.1057873 -0.08799227 0.18990463 0.01069971 0.0623874 -0.00215719 0.04833501 0.18211126 0.12653132 0.009353 -0.13305554 0.01676605 -0.00547017 0.03125946 -0.08249339 0.01297445 -0.18232824 -0.09286037 0.00685204 0.0235957 -0.07623409 0.02768192 -0.01901873 0.0299195 0.05273569 0.00467335 -0.09929656 0.10784602 -0.08203536 0.03084077 0.07627816 0.0253936 -0.17921607 0.21810624 0.17147504 0.03096984 0.0596724 -0.16842243 0.04102885 0.06959246 0.0976696 -0.06758714 0.16450058 0.03775797 -0.01177658 0.02053099 -0.00447362 -0.04187616 0.02512627 0.04385698 0.04555845 -0.03247737 0.0185134 -0.00597449 -0.00802301 0.1593913 -0.02974384 -0.03463281 0.0141929 ] Cos Similarity tf.Tensor(0.29485822, shape=(), dtype=float32) (128,) (128,) [-9.97769013e-02 8.28842521e-02 -8.04789886e-02 1.76758021e-01 6.98738033e-03 3.07853222e-02 1.74777761e-01 1.13002181e-01 -3.55898938e-03 -8.72394443e-03 1.72564104e-01 -8.81183485e-04 -5.73361665e-03 2.24648371e-01 7.12682456e-02 -1.88986853e-01 -8.03020503e-03 -5.80679514e-02 1.00199826e-01 -1.28318533e-01 -1.80967242e-01 1.67417899e-01 2.07427293e-02 3.78215015e-02 2.04473617e-03 5.96859399e-03 7.15326741e-02 -6.36483962e-03 1.88164383e-01 5.49744926e-02 2.04993546e-01 1.18119210e-01 -1.92116182e-02 -1.35056237e-02 8.60156268e-02 -2.45771520e-02 -7.30756787e-04 -1.83607996e-01 -4.11390793e-03 2.24036933e-03 6.11083433e-02 -1.03405248e-02 1.16414193e-03 -1.30750630e-02 2.37444967e-01 -2.04836860e-01 1.04838490e-01 -1.66368540e-02 -3.28809791e-03 8.46766494e-03 3.52976727e-03 9.45488829e-03 -2.48549357e-02 -7.61268486e-04 -1.05458135e-02 1.13659455e-02 -1.16376467e-02 -1.20099429e-02 -1.01452898e-02 -2.16598697e-02 -1.25425428e-01 -1.62733868e-01 -1.19022556e-01 2.68500973e-03 6.93843961e-02 8.92198160e-02 -9.46479104e-03 1.39590856e-02 -5.04548196e-03 2.58564018e-02 1.11609995e-01 9.50935334e-02 2.96542235e-03 1.76939124e-04 -4.20971680e-03 -6.52147271e-03 1.78374544e-01 4.98146452e-02 1.09771807e-02 1.04018755e-01 -2.51128320e-02 1.21493507e-02 -1.35538625e-02 3.60772274e-02 -9.77519751e-02 7.01507628e-02 5.12742586e-02 1.47370994e-03 -7.35416170e-03 7.58815855e-02 1.29940361e-01 -8.25922042e-02 -2.27784254e-02 6.56941487e-03 1.06903622e-02 -7.73392171e-02 4.01554219e-02 1.26861259e-02 -1.71819050e-02 -3.05667724e-02 -2.78379954e-02 1.38735622e-01 -3.28153260e-02 1.22081898e-01 -3.21889995e-03 -1.18979542e-02 8.35150480e-02 6.16737828e-03 -1.32216159e-02 7.87038431e-02 -6.59826621e-02 1.82299569e-01 -1.08126050e-03 -1.50143310e-01 -2.25369427e-02 1.38043940e-01 1.85071930e-01 3.87882045e-03 -1.43921301e-01 -8.39631725e-03 -3.89849418e-03 1.02230115e-02 -4.10251785e-03 -2.63456702e-02 2.21434325e-01 -1.53705776e-02 -7.70310126e-03 -7.37660052e-03] [-7.68263415e-02 5.39245419e-02 2.05648597e-02 6.01749010e-02 -6.10142387e-03 1.70488693e-02 3.44106331e-02 1.72062349e-02 2.16754619e-03 -1.91588223e-03 -2.32274741e-01 -1.80354603e-02 1.97754288e-03 1.93277359e-01 3.59320305e-02 -6.08874485e-02 -2.15182398e-02 1.41167730e-01 1.71283290e-01 4.28364873e-02 7.41064083e-03 -7.08768740e-02 6.95250407e-02 2.19384092e-03 -1.49397645e-02 3.40903923e-03 1.44338787e-01 -1.85036808e-02 4.43700738e-02 9.95113924e-02 -1.57802626e-01 9.04219877e-03 -1.32811489e-02 -6.12248620e-03 1.18912145e-01 -1.94248755e-03 -5.09192876e-04 -8.56057331e-02 4.43920540e-03 2.16203369e-02 -2.59135161e-02 -3.64192040e-03 -1.00545380e-02 -6.27680449e-04 1.32332891e-01 1.08231589e-01 5.05555980e-02 -4.20510676e-03 5.10244165e-03 1.63530670e-02 4.85596713e-03 2.82414048e-03 -1.56471208e-02 3.74632468e-03 -4.67228994e-04 7.63891404e-03 -7.05290288e-02 -7.44345179e-03 -7.51377025e-04 -1.50104454e-02 9.51219797e-02 -1.77870423e-01 1.94786027e-01 -1.81890919e-03 5.26113249e-02 1.76989406e-01 -9.70112626e-03 1.93781689e-01 -8.73361994e-03 1.46786332e-01 6.44538924e-02 -1.03992201e-01 -5.69686899e-03 7.84014165e-03 1.72194873e-03 6.58329483e-03 1.69025749e-01 1.17591187e-01 -1.45736570e-03 1.40799060e-01 -1.99832674e-02 -9.43566579e-03 3.66178434e-03 -1.44241035e-01 -1.59727529e-01 1.89245597e-01 -2.89982986e-02 4.74032108e-03 -1.33941676e-02 1.53955176e-01 3.57274711e-02 1.51664168e-01 -1.27605610e-02 4.70588030e-03 2.17424240e-03 1.70191124e-01 -7.63080046e-02 -2.49326713e-02 -6.60812156e-03 -9.47518125e-02 -1.62298307e-01 4.73451801e-02 1.49133369e-01 -6.21538013e-02 -2.12857220e-02 -1.08170770e-02 1.48652717e-01 -7.73940192e-05 -1.64194871e-02 3.09822150e-02 1.63278207e-01 -1.05964698e-01 -2.12471513e-03 -1.53223157e-01 -1.15265511e-02 1.18145615e-01 2.00245306e-01 -1.63015686e-02 1.78587530e-02 -2.08836105e-02 2.85262661e-03 2.33088076e-01 -1.44224614e-02 -3.73767950e-02 -1.62072450e-01 3.74959446e-02 -6.17770925e-02 -9.48350597e-03] Cos Similarity tf.Tensor(0.17971586, shape=(), dtype=float32) (128,) (128,) [ 6.10377081e-02 1.82077631e-01 6.60276040e-02 1.48185596e-01 7.63257546e-03 6.67481720e-02 2.62064580e-02 8.15684162e-03 9.35673434e-03 -2.09456519e-03 -1.10410713e-01 1.10434368e-02 2.88012121e-02 1.52390957e-01 1.40561476e-01 5.64403087e-02 1.10441018e-02 -8.85703191e-02 1.80325776e-01 -1.39975697e-01 1.35728255e-01 1.04124010e-01 3.05678509e-02 5.85773252e-02 2.08016299e-02 -1.28716184e-02 1.92464456e-01 2.33607683e-02 1.94826528e-01 1.29290134e-01 -1.04456782e-01 -1.30473956e-01 1.56235844e-02 2.20345948e-02 -1.20960325e-01 9.65644047e-03 2.42547179e-03 5.81772998e-02 -7.16919918e-03 1.78823963e-01 1.16979294e-01 -3.01365787e-03 3.03276489e-03 -7.90576669e-05 1.01549663e-01 -5.60204573e-02 3.61526087e-02 3.07239294e-02 2.63106152e-02 -1.27403205e-02 -2.34454972e-04 2.37183971e-03 2.28341818e-02 7.46821146e-03 2.64097471e-02 1.32084908e-02 2.16138020e-01 -7.06752902e-03 8.07930436e-03 7.67405564e-03 -1.22545548e-01 -1.64884701e-01 1.17809728e-01 1.14847496e-02 -5.65444492e-02 6.03556111e-02 1.54174101e-02 -2.76308693e-03 2.66652368e-02 6.90544471e-02 -1.00063607e-01 -4.19930406e-02 -5.97325433e-03 5.19323442e-03 -2.87734787e-03 3.60398064e-03 9.86186787e-02 -1.90012291e-01 -1.76756978e-02 -1.49907827e-01 -1.65483984e-03 -4.64298110e-03 1.15680443e-02 -3.25530283e-02 -8.97684842e-02 -7.91007578e-02 -1.35532813e-02 1.56164067e-02 2.67633615e-04 1.17992861e-02 -1.23945162e-01 -1.67688340e-01 7.08407536e-03 1.86731704e-02 1.04876496e-02 1.59026757e-01 1.17683060e-01 1.88595057e-01 -3.63851711e-03 -1.71890616e-01 6.09609820e-02 6.58600554e-02 1.40645221e-01 -1.82449799e-02 -3.35673848e-03 -1.82676353e-02 -1.55013040e-01 4.69641481e-03 3.35050485e-04 -7.46542290e-02 -2.97361333e-02 -2.72353571e-02 1.67247318e-02 1.51577562e-01 -6.55024201e-02 9.96207967e-02 1.95605770e-01 -1.82976495e-04 1.35514826e-01 -2.83474382e-03 -6.52544247e-03 1.93841904e-01 -1.94652714e-02 -3.39031778e-02 4.37350906e-02 7.44260401e-02 -1.16828173e-01 -2.07641274e-02] [-1.3930130e-01 -8.5325256e-02 1.1053359e-01 7.2421655e-02 2.1792253e-02 -1.4476459e-01 2.0556377e-01 -2.6458494e-02 -2.7661936e-04 2.3137692e-02 1.7124990e-01 4.1270625e-02 6.8538740e-02 -4.1466981e-02 1.1413369e-01 -1.1375734e-01 3.3601195e-02 3.7833210e-02 -1.8929516e-01 5.0146069e-04 6.1999153e-02 5.8914587e-02 -3.7143189e-02 1.7700110e-02 5.6295116e-02 3.0104388e-02 2.2558647e-01 2.3314295e-02 7.3713628e-03 -1.5074463e-01 -1.4952615e-01 1.1962117e-01 -7.5018068e-04 1.4189865e-03 2.7499596e-02 2.1965066e-02 1.0736399e-02 -1.4075656e-01 -1.5536540e-02 1.4988071e-01 1.8931998e-01 2.1782972e-02 2.2865781e-03 3.2850359e-02 -1.0830790e-02 2.1494109e-02 -1.5781332e-02 5.9311250e-03 3.8844224e-02 8.6646341e-03 1.8324826e-02 -5.0542145e-03 3.8476679e-02 2.8797442e-02 5.7232272e-02 2.6022589e-02 1.5621175e-01 -3.0968588e-02 9.5140859e-03 5.5388078e-02 -8.5795365e-02 -2.0812413e-01 1.4786452e-01 4.7737289e-02 -7.9123206e-02 -8.3428875e-02 1.7203137e-02 1.5476270e-04 5.1077567e-02 -1.3685109e-01 1.6213287e-02 -2.1657158e-01 1.6213097e-02 -1.9905584e-02 3.2380816e-02 5.9129100e-02 -1.4195016e-01 3.1066172e-02 -1.4740065e-02 -7.4103251e-02 4.1877206e-02 5.3138278e-02 1.9684909e-02 4.7266074e-03 -9.0394586e-02 -1.6869745e-01 -9.2347734e-02 3.2909367e-02 9.3775913e-03 -1.2729155e-01 8.5143797e-02 -8.2059860e-02 4.4104993e-02 4.2755201e-02 1.0429492e-02 1.9032028e-01 1.1766619e-01 -4.2133994e-02 2.2170607e-02 1.2220151e-02 4.4723067e-02 -1.5785864e-01 1.1700610e-01 -9.9001773e-02 2.7404459e-02 -4.0157307e-02 6.0701434e-02 7.5396635e-03 5.7798885e-02 5.5376716e-02 -1.5891556e-01 7.7545084e-02 3.7911102e-02 4.7941096e-02 -7.8213885e-02 1.7461367e-01 -1.6556118e-01 2.3379918e-02 6.3954547e-02 -2.4498304e-02 1.1134777e-02 -4.1459903e-02 5.4899286e-02 1.1184687e-02 -1.9409087e-01 9.7676821e-02 -1.3224578e-02 2.8541673e-03] Cos Similarity tf.Tensor(0.1647911, shape=(), dtype=float32) (128,) (128,) [-0.10039652 0.10438586 0.0227365 0.04348992 -0.01432698 -0.0993446 -0.13354456 -0.1911125 0.01193356 0.0092306 -0.06159599 -0.01606164 0.04111349 -0.2141008 0.05590301 0.18672316 -0.00272147 -0.00507404 -0.13369593 0.04435063 -0.15978572 -0.02324358 0.04566954 0.10578106 0.03115938 0.01508658 0.17509656 -0.01601147 0.01492251 -0.05246464 0.11273185 0.1641975 -0.02937689 -0.01494706 0.05049501 -0.00132256 0.01743172 0.08590573 -0.00860768 0.1770265 0.21057183 0.01342529 0.01361497 0.0250919 -0.19102228 -0.1889609 -0.16771889 -0.01324951 0.02858671 -0.00465422 0.01599968 0.00900069 0.01878176 0.0057506 0.04458017 0.021402 0.02529867 -0.01176528 0.00368595 0.01904282 -0.08896472 -0.03223835 0.05967871 0.00295587 0.07322841 0.0055178 -0.01579359 0.11029229 0.01086529 -0.03354297 -0.02644422 -0.10795506 0.00664305 0.01770728 0.01568515 0.01286765 0.1969444 0.11331249 0.00916877 -0.13669941 0.00671275 -0.00309811 -0.00436141 -0.00073139 -0.00233107 0.2055823 0.16276029 0.02188601 0.01358382 -0.08461708 -0.07035027 -0.13242042 0.01575669 0.01153845 0.01874124 0.04516668 0.17844288 -0.1132392 0.00135085 0.04292667 0.10831339 0.14247642 0.09367213 -0.02555074 0.01404017 -0.03553325 -0.02163069 0.00895417 0.02836106 0.21575223 0.04373958 0.15232311 0.00834937 -0.08509318 -0.0331561 0.14457534 -0.0942411 -0.01463752 -0.04440618 0.00427204 0.00378562 0.2372855 0.01644531 -0.00097113 0.08255898 0.06960212 0.08013637 -0.0120864 ] [-0.13366479 0.01546316 0.03803197 -0.02096718 -0.01916776 -0.09417084 0.05231162 -0.1807583 0.00974433 0.00673651 -0.10429136 0.01885372 0.01903527 -0.11249863 -0.0823289 -0.01043245 0.03332783 0.09006927 -0.19034804 0.07023319 -0.17540264 0.0124183 -0.04131329 -0.07884248 0.03628507 0.00550806 0.00128562 0.01536109 -0.14366582 -0.01460383 0.04317994 -0.05787604 0.00587879 0.01709607 0.09855802 0.03138674 0.02138192 0.19120152 -0.03997933 0.17279178 0.1835019 -0.00309319 -0.00704581 0.02443766 -0.11920461 -0.16237584 -0.14819768 0.02546156 0.03353979 0.01925249 0.01573411 -0.00124871 0.02268967 0.0122567 0.02153576 0.01292505 -0.07800794 -0.00129816 0.03291343 0.00203241 -0.1897432 -0.07027112 -0.12990482 0.03123997 0.12999378 0.0301219 0.01020694 -0.0485623 0.00653063 -0.05752922 0.03909131 0.10199004 0.00150557 0.03228267 0.0072803 0.04488135 -0.0932379 0.08783798 -0.01214723 -0.09011263 0.01024935 -0.00303043 0.00204022 -0.11762073 -0.00208789 0.15282091 0.1762168 0.02530052 0.00131384 -0.09511483 0.17357567 -0.18751068 0.02925867 0.03413372 0.01162148 0.17142932 0.15783224 -0.18017405 0.01030428 0.1409207 0.06374716 -0.03825753 0.14233895 -0.17894295 0.01171408 0.00787399 0.0773699 0.02616804 0.03425011 0.02709413 0.12377261 0.09417878 0.0096636 0.01155035 -0.09553654 0.21065326 -0.20982638 -0.01448849 0.05439855 0.02805452 -0.01013874 0.13348523 0.05392872 0.00896483 0.02198073 0.08070976 -0.07172649 -0.00902329] Cos Similarity tf.Tensor(0.57259494, shape=(), dtype=float32) (128,) (128,) [-0.11487525 0.12248686 -0.06575865 -0.0550024 -0.01117101 0.04720001 0.07871456 0.05148065 -0.00244903 -0.01123483 -0.2232355 -0.01662283 -0.00257162 0.21994068 0.0542902 -0.01424779 -0.0221927 0.01949893 0.1650416 -0.03723024 0.03994809 0.02837797 0.06236932 0.03132003 -0.01178376 -0.00087855 0.16685784 -0.03750154 0.10784705 0.14557403 -0.19857603 0.18737394 -0.01164081 -0.012398 0.05648721 -0.01505565 -0.00125952 -0.12074062 -0.00222384 -0.10866719 -0.05541267 -0.00982068 -0.00775827 -0.00197952 0.02123012 0.18449382 0.05325089 -0.00552603 -0.00211498 0.01012404 0.00226412 0.0038452 -0.01854421 0.00145555 -0.00682986 0.00418591 -0.1007291 -0.0066368 -0.00055195 -0.02158616 0.09198041 -0.06927123 0.1695799 -0.00480059 -0.12794165 0.04052545 -0.01597276 -0.00490763 -0.01388596 -0.02386689 0.00035872 -0.06953241 -0.00226883 0.00298679 0.00110563 -0.00052336 0.16157329 0.07181637 -0.00152148 0.11721843 -0.02466052 0.06563125 0.00338228 -0.09859506 -0.18916172 0.13144422 0.14792995 0.00371014 -0.01664109 0.12155798 0.06854906 0.16671221 -0.02720067 0.00355875 0.0028344 0.17619179 -0.1326298 -0.04219328 -0.01852603 -0.07321903 -0.04746806 0.04072887 0.12724498 0.13669014 -0.02468324 -0.00196103 0.19788957 0.00089496 -0.02697136 -0.11280368 0.03559648 -0.072359 -0.00741421 0.03150315 0.01650578 0.1968536 0.1934833 -0.01642558 0.15103324 -0.02401994 0.00326329 0.20835865 0.00306741 -0.03580845 -0.18521823 0.0265344 0.10742042 -0.01238384] [-0.11487525 0.12248686 -0.06575865 -0.0550024 -0.01117101 0.04720001 0.07871456 0.05148065 -0.00244903 -0.01123483 -0.2232355 -0.01662283 -0.00257162 0.21994068 0.0542902 -0.01424779 -0.0221927 0.01949893 0.1650416 -0.03723024 0.03994809 0.02837797 0.06236932 0.03132003 -0.01178376 -0.00087855 0.16685784 -0.03750154 0.10784705 0.14557403 -0.19857603 0.18737394 -0.01164081 -0.012398 0.05648721 -0.01505565 -0.00125952 -0.12074062 -0.00222384 -0.10866719 -0.05541267 -0.00982068 -0.00775827 -0.00197952 0.02123012 0.18449382 0.05325089 -0.00552603 -0.00211498 0.01012404 0.00226412 0.0038452 -0.01854421 0.00145555 -0.00682986 0.00418591 -0.1007291 -0.0066368 -0.00055195 -0.02158616 0.09198041 -0.06927123 0.1695799 -0.00480059 -0.12794165 0.04052545 -0.01597276 -0.00490763 -0.01388596 -0.02386689 0.00035872 -0.06953241 -0.00226883 0.00298679 0.00110563 -0.00052336 0.16157329 0.07181637 -0.00152148 0.11721843 -0.02466052 0.06563125 0.00338228 -0.09859506 -0.18916172 0.13144422 0.14792995 0.00371014 -0.01664109 0.12155798 0.06854906 0.16671221 -0.02720067 0.00355875 0.0028344 0.17619179 -0.1326298 -0.04219328 -0.01852603 -0.07321903 -0.04746806 0.04072887 0.12724498 0.13669014 -0.02468324 -0.00196103 0.19788957 0.00089496 -0.02697136 -0.11280368 0.03559648 -0.072359 -0.00741421 0.03150315 0.01650578 0.1968536 0.1934833 -0.01642558 0.15103324 -0.02401994 0.00326329 0.20835865 0.00306741 -0.03580845 -0.18521823 0.0265344 0.10742042 -0.01238384] Cos Similarity tf.Tensor(1.0, shape=(), dtype=float32) (128,) (128,) [ 1.77122623e-01 1.25184789e-01 -6.72210306e-02 -5.71190752e-02 -1.53590543e-02 -9.07948166e-02 -1.23197064e-01 5.67140318e-02 -5.98021690e-03 -1.47992875e-02 -1.51798815e-01 -4.70064068e-03 -1.02630546e-02 -8.05334896e-02 1.55974273e-02 7.08419010e-02 -5.83987217e-04 -1.20452538e-01 1.69855431e-01 -4.85037193e-02 -8.20176825e-02 -7.77475312e-02 1.39787719e-01 -5.35051599e-02 -1.94769707e-02 -3.52538773e-03 -1.38383895e-01 -1.93888564e-02 7.63664618e-02 1.78258210e-01 -1.39977604e-01 1.55915931e-01 -4.39086743e-03 4.59437957e-03 2.69113705e-02 -4.68677888e-03 -1.09641384e-02 -1.87164336e-01 -7.13945832e-03 -1.39191195e-01 -1.25240952e-01 -9.12660360e-03 -3.53501039e-03 -2.12696404e-03 -4.49205153e-02 1.42616004e-01 -1.91280052e-01 1.30648566e-02 3.69424070e-03 2.05179695e-02 1.08362483e-02 8.52294173e-03 -9.40658059e-03 6.56745443e-03 -2.25135423e-02 1.14483247e-02 2.50198729e-02 6.35889708e-04 8.65828339e-03 -9.10518691e-03 1.25834374e-02 -1.91871852e-01 -6.26470745e-02 6.59229979e-03 -1.09780967e-01 -1.03152804e-02 -2.21384987e-02 -2.40286365e-02 -6.32023392e-03 -1.21443883e-01 -9.74247605e-02 1.38138920e-01 -8.16209358e-04 -4.62629141e-05 -1.69433039e-02 1.52295902e-02 1.42679721e-01 -9.77076069e-02 1.40256644e-03 -1.10220648e-01 -4.28096112e-03 -1.20270550e-02 7.49563565e-03 1.00631081e-01 -4.75326851e-02 -8.12875759e-03 2.02314630e-01 5.67720830e-03 1.76004018e-03 2.06933782e-01 6.32802993e-02 9.69179571e-02 1.40339672e-03 7.06454553e-03 6.77070301e-03 3.18669379e-02 -5.88798448e-02 -2.09970757e-01 -1.54245235e-02 -8.05714540e-03 9.42256153e-02 -1.19151376e-01 1.48862764e-01 1.33424371e-01 -1.32117607e-02 4.62392578e-03 1.57335013e-01 2.43490823e-02 -1.20595358e-02 -2.26716444e-01 1.39644416e-02 -1.70990512e-01 -7.62025127e-03 3.50278839e-02 -6.79499656e-02 -1.03561184e-03 1.86353073e-01 -1.09310569e-02 1.67861998e-01 -1.25977509e-02 -5.99396335e-05 1.19973102e-03 2.29974352e-02 -1.44484323e-02 -1.41212195e-01 4.54042479e-02 -8.96057636e-02 -4.62659216e-03] [-0.06550107 0.16146663 0.05375861 0.18003246 0.01146498 -0.0042296 -0.20269442 -0.03506137 -0.01472597 -0.004197 0.20610088 -0.00593148 0.03252434 0.00289702 0.04339566 0.14238347 0.00446357 -0.15866213 0.18600798 0.05607926 -0.11578707 0.10342469 0.14314662 0.13899381 -0.0119937 0.01370888 -0.03631723 -0.01540987 0.1314155 0.1341281 0.0654986 0.14992942 0.00979725 0.00815253 -0.02600859 -0.02915567 0.01882307 -0.184756 -0.02197644 -0.0680058 0.1683674 0.01482952 0.00988499 0.00037969 -0.11236694 0.14558561 -0.00204238 -0.00609035 0.01465915 0.03216666 0.01902351 0.00238377 -0.01293049 0.01732302 -0.00831898 0.00119519 0.1891277 -0.00235565 0.00700831 0.01101452 0.0655056 -0.00221848 -0.12107798 0.00713739 0.14873973 -0.10349783 0.00435368 0.13276556 0.01611294 -0.11802436 0.11455908 -0.00420328 0.01036804 0.01872833 0.00210583 0.03291248 -0.0843047 -0.08116411 -0.00966231 -0.11976043 -0.00135521 -0.00140015 -0.02307459 0.14625698 -0.0067192 0.05807963 0.17521735 0.01723027 0.0113764 0.03790684 -0.15270092 0.06352999 -0.00165198 0.01025643 0.00976651 -0.13622573 0.09632616 -0.18737774 -0.01958379 -0.02502096 -0.08883068 -0.16387029 0.19017942 0.1817527 -0.00328553 -0.00473753 0.16112494 -0.00129141 -0.02805521 0.117863 -0.06647007 0.03799666 -0.00807458 -0.09435974 -0.02813939 -0.04866733 -0.07114059 0.00661171 0.05027859 -0.01204584 -0.00163411 -0.17462975 0.03559829 -0.03277199 0.06669714 0.0569354 -0.07977198 0.00426273] Cos Similarity tf.Tensor(0.3042949, shape=(), dtype=float32) (128,) (128,) [ 0.06455681 -0.09381702 0.07453296 -0.06692374 -0.01380689 -0.0107231 0.14777558 0.00046091 0.00800994 0.00742029 0.12933908 0.0267141 0.01018954 -0.0265468 -0.04838609 0.03348127 -0.00048669 0.00991155 -0.16404146 0.1291264 -0.14791809 0.1495823 -0.14924921 0.10658585 0.01784023 0.01694627 0.10123073 -0.00198581 -0.16465893 0.14823097 -0.10106231 0.15835999 0.0026411 0.0200415 -0.04928817 0.03279503 -0.00146079 -0.14041856 -0.01170344 0.08334457 -0.15713799 0.00673097 0.01867016 -0.00306293 -0.11869451 0.03780586 0.05693129 0.01385996 0.0178156 0.01396242 0.00191007 0.00095733 0.0131635 -0.00183512 0.00837589 0.01081491 -0.14184429 0.01012318 0.01613584 0.01449094 0.13398476 -0.14398 -0.17591916 0.0178893 0.09938708 0.09983078 -0.00131858 0.09818684 -0.00565716 0.15774608 0.134972 0.16159733 -0.00163721 0.01781533 0.01554619 0.0008387 0.01064686 0.03060064 0.00212701 -0.17052886 0.00136449 -0.00802347 -0.00171713 0.13275518 0.10832024 -0.14539105 0.02904063 0.01388448 0.01161041 -0.15418401 -0.16204344 0.11649816 0.00528332 0.01847112 0.0033062 -0.16684526 0.17145458 0.03599065 -0.00378881 0.15541738 0.10599387 0.1711394 0.14578207 -0.11687365 0.01554927 0.01054636 0.09645832 0.00333199 0.01745548 -0.16779372 -0.09682957 0.1402264 0.00059398 0.01790731 -0.02526355 0.14755182 -0.13890742 -0.0052474 -0.16110525 0.0296879 0.00311792 -0.02611217 0.02524556 0.00147328 -0.05749095 -0.01390044 0.07560851 -0.00664852] [-1.48703113e-01 -8.36919546e-02 6.96549863e-02 -1.05429925e-01 -1.05514601e-02 2.15409677e-02 1.57286972e-02 -1.75032854e-01 -7.84255564e-03 3.09861708e-03 -7.49360546e-02 2.81875841e-02 1.57822706e-02 -1.10353611e-01 1.75328404e-02 1.73531204e-01 2.02862173e-02 -1.37965074e-02 -1.77359894e-01 -4.98724766e-02 -1.38120443e-01 1.79406568e-01 -2.44853776e-02 1.51959494e-01 3.59219238e-02 1.61327589e-02 -1.87055804e-02 1.10911187e-02 -8.42430070e-02 5.10208160e-02 3.44190784e-02 1.48913823e-02 -3.41031700e-02 2.12558731e-02 -7.71912038e-02 1.23261707e-02 -8.43609869e-03 1.54115885e-01 -5.55486372e-03 8.69817436e-02 -1.11986183e-01 2.74052634e-03 1.85713507e-02 -1.32745858e-02 4.97554690e-02 -1.16951793e-01 -1.07208885e-01 1.28436098e-02 2.66796388e-02 -3.86235258e-03 -1.90875994e-03 -4.91423823e-04 -1.80872448e-04 1.98865146e-03 3.58685997e-04 1.20844617e-02 -5.10559119e-02 1.39729222e-02 2.69912202e-02 9.96451546e-03 1.86668083e-01 -1.21491872e-01 -1.70896277e-01 1.18543152e-02 7.01455623e-02 -7.64129832e-02 7.63616664e-03 -4.41862084e-02 -9.23966523e-04 -6.60349280e-02 1.24420695e-01 2.01929018e-01 -1.34442130e-03 2.58120596e-02 1.24908949e-03 2.86760237e-02 -1.01196356e-01 1.09375261e-01 -9.71931405e-03 -1.68801889e-01 9.82627179e-03 -1.36586782e-02 -2.46756840e-02 1.26196489e-01 3.76958810e-02 -5.51811010e-02 6.21024296e-02 1.27649996e-02 1.94701902e-03 -1.52467847e-01 -1.47194371e-01 6.84325173e-02 1.64678283e-02 2.02419180e-02 -9.69267508e-04 -1.58221722e-01 -7.87088741e-03 -2.07548603e-01 -2.13086978e-03 1.95646048e-01 1.59052923e-01 1.85030848e-01 1.52230293e-01 7.65115991e-02 1.36552984e-02 8.72834306e-03 1.69997975e-01 4.76735272e-02 2.79542617e-02 -1.43667594e-01 -1.90133095e-01 1.45939067e-01 -1.88745484e-02 -9.74154025e-02 4.00160141e-02 1.02236241e-01 -7.98555240e-02 1.35109704e-02 -1.65182248e-01 4.25443463e-02 6.28354552e-04 -1.02035396e-01 3.63005064e-02 1.94062870e-02 9.04370472e-02 5.66452146e-02 1.79766621e-02 -7.74587924e-03] Cos Similarity tf.Tensor(0.5866528, shape=(), dtype=float32) (128,) (128,) [-0.06319142 -0.1945167 -0.00718655 0.07504758 -0.03119551 0.01312942 0.0603317 -0.09163643 0.00460287 -0.00673031 0.16601941 0.00433835 0.00720985 -0.09871802 0.0199264 -0.20233804 0.00437122 0.04407255 0.15340939 -0.01087416 -0.0234588 -0.02514943 -0.16939266 -0.04844026 0.005493 0.01012465 -0.14375848 -0.00495024 -0.03736833 0.09851822 0.15421294 0.04219406 0.00845497 -0.02008439 -0.18909684 -0.03239258 -0.00642804 -0.1291498 0.01164842 0.04367315 -0.02893985 0.00533744 -0.0052651 0.00880283 0.16366644 0.06538562 0.04752449 0.00926078 0.00929661 0.02100201 0.01282061 -0.0005365 -0.01530544 0.00823648 -0.00279679 0.01003791 0.20458387 0.00409 0.01225963 -0.00844893 0.15856677 0.1853359 -0.19792202 0.00757885 -0.07797879 -0.12962589 -0.0069036 0.14256737 -0.0046538 -0.00295587 0.03334339 0.05058323 -0.00202 0.00613862 -0.0214675 0.01285458 0.17096926 -0.10998532 0.00360315 0.08274979 -0.00310287 0.0309363 -0.00238052 -0.14137158 0.19817176 -0.00812111 0.12074372 0.00774877 -0.00993111 0.20106341 -0.04479112 0.18274222 0.0105126 0.00694183 0.00249276 0.03173833 0.163807 -0.0568694 -0.01470168 -0.15228371 0.09825859 -0.03921106 0.18483834 0.13019465 0.00944699 0.01221193 -0.20327115 0.01741606 -0.00786668 0.01348168 0.03702489 -0.16970992 -0.03048886 0.06539953 -0.01672763 0.01456576 0.11001245 -0.01051335 0.17686239 -0.02933612 0.01040776 0.06033871 0.02582863 -0.02493091 -0.12652269 0.07342532 -0.0209401 0.00443833] [ 0.14374824 -0.19023708 0.11582744 0.07613425 -0.00506091 -0.01180656 -0.02083409 -0.07864257 0.00939281 -0.01020504 0.09178124 0.00206156 0.00704356 0.1429717 0.01955969 -0.1881781 -0.00673053 -0.04467304 0.20148575 0.01248067 -0.0657532 -0.02945525 -0.11357487 -0.15304774 -0.00070713 0.00494999 -0.1667816 0.00387603 -0.15377335 0.04203834 0.04912732 0.05739379 0.01325579 -0.00040604 -0.11120818 -0.01673117 -0.01176688 -0.08294361 -0.00919737 -0.0455589 0.12733239 -0.0112477 0.0031342 -0.00193674 0.19375765 0.02806131 -0.07192301 0.00328149 0.00153207 0.01722641 0.00516552 -0.00703077 -0.03134789 0.0028179 -0.00852797 0.00707215 0.16749865 0.00263903 0.0090872 -0.03217726 0.11579296 -0.16499732 0.08557546 -0.00194313 -0.17847534 0.11925653 -0.00906912 0.01179191 0.00100392 0.00459661 0.14157073 -0.00877641 -0.009242 0.01308979 -0.01870612 0.01061323 0.18321794 -0.0864438 -0.01013444 0.17242703 -0.01105941 -0.00077046 0.01742407 -0.07349984 -0.05947617 -0.00084557 0.17378442 0.00464384 -0.00952227 0.18440007 -0.16151543 0.13627584 0.00462865 0.01739871 0.0042352 0.21938986 0.05687748 -0.13844283 -0.01311251 -0.06808797 0.19206682 0.06554011 0.14062136 0.1520415 0.0030502 0.01449811 -0.19368252 0.01116634 -0.01058972 0.00155362 -0.02195458 -0.06436548 -0.01357729 0.00551695 0.0170711 0.18992406 0.21061297 -0.0206604 -0.05342229 -0.00400553 0.0021148 -0.00171117 -0.00237632 -0.0282893 0.06488442 -0.00578557 -0.01989347 0.00702717] Cos Similarity tf.Tensor(0.5491393, shape=(), dtype=float32) (128,) (128,) [ 2.29367450e-01 -1.10306516e-02 2.22770162e-02 1.36648491e-01 -4.18199971e-03 1.38073880e-02 9.44887623e-02 -7.90427998e-02 -1.47261089e-04 -4.29185666e-03 -7.66550452e-02 -2.34993417e-02 1.13103967e-02 1.33105561e-01 2.44807582e-02 2.00319603e-01 -1.22886002e-02 9.03570652e-02 2.83771846e-03 1.93305954e-01 2.43162736e-01 6.73138946e-02 -9.50298607e-02 -3.96482609e-02 -3.29527743e-02 -4.24432801e-04 8.84714276e-02 -1.10005168e-02 4.69518788e-02 -1.27548859e-01 -1.16882913e-01 -9.18271672e-03 -8.50009092e-05 -1.22175040e-03 7.96883926e-02 3.94320628e-03 -4.33718972e-03 2.16586873e-01 -4.19738889e-03 -1.42266780e-01 -7.84708560e-03 7.24910945e-03 -3.09566641e-03 -1.16990565e-03 -4.16655876e-02 -2.45390505e-01 -1.33448407e-01 7.50654936e-03 5.68082323e-03 -3.36998538e-03 9.13635734e-03 -3.70934443e-03 -3.38574424e-02 2.95307511e-03 6.03100110e-04 1.36084203e-03 -2.17319459e-01 1.09368435e-03 5.56500442e-03 -1.66201927e-02 8.57086331e-02 2.57423464e-02 1.27567053e-01 -3.19826929e-03 1.98573232e-01 -1.72476292e-01 -1.32935820e-03 1.62146855e-02 -1.90928504e-02 -1.84710592e-01 -5.99855147e-02 5.62944151e-02 -3.10721947e-03 3.48597765e-03 -9.83085949e-04 1.84114855e-02 4.88981865e-02 2.61204317e-02 5.82731562e-04 2.08944589e-01 -5.21420501e-03 -3.58654489e-03 -5.65028144e-03 6.57628775e-02 -8.46008137e-02 -7.27770897e-03 -1.52781874e-01 7.14248326e-03 1.93586294e-03 1.29029360e-02 1.46685109e-01 1.84821710e-02 2.28395089e-04 7.00662052e-03 -5.52533334e-03 6.59893379e-02 7.60357454e-02 -4.55000624e-03 1.97910634e-03 -5.14015183e-02 -1.40219824e-02 3.37918848e-02 -1.14209287e-01 -1.43340513e-01 -2.63824277e-02 -3.02019203e-03 1.03642933e-01 1.75554808e-02 -8.78171716e-03 9.28319916e-02 -1.31053358e-01 4.86895964e-02 -5.60917892e-03 -1.89580157e-01 -6.24676161e-02 1.06972307e-01 7.02290982e-02 -7.65804434e-03 -2.02260539e-01 -4.85430621e-02 -4.22266219e-03 1.12545654e-01 -8.03820416e-03 -2.45743375e-02 -1.68824509e-01 5.62432706e-02 1.11891501e-01 -1.15836170e-02] [ 2.32337698e-01 1.16071060e-01 -5.74243627e-02 7.43311597e-03 -1.15435962e-02 1.63802970e-02 -1.83607608e-01 -1.76803857e-01 5.28389239e-04 -9.02045052e-03 8.47482868e-03 -3.29125524e-02 1.45273032e-02 1.28961578e-01 7.12213293e-02 -1.03601189e-02 -3.26074514e-04 4.53048795e-02 -1.46084607e-01 1.37634262e-01 1.20218575e-01 -1.39830306e-01 -3.11298743e-02 1.92316400e-03 -1.34674078e-02 4.71177697e-03 2.14588687e-01 -7.77187524e-03 1.68185219e-01 -1.16784558e-01 -2.30369985e-01 -1.61195874e-01 -1.31280255e-03 -1.55057143e-02 -1.51512429e-01 4.54562530e-03 -2.30958220e-02 -1.06541164e-01 -4.14117327e-04 -5.59505522e-02 8.37374479e-02 4.96450439e-03 5.06725162e-03 -6.78231614e-03 -1.97895572e-01 -2.24579722e-01 -1.02202691e-01 3.31665069e-04 6.92020962e-03 -7.72435730e-03 2.60945759e-03 2.14963499e-03 -1.29125649e-02 1.64851069e-03 -1.34962192e-02 -4.16831952e-03 5.44978632e-03 3.05045163e-03 5.21956477e-03 -1.37615977e-02 6.48142919e-02 -1.81056246e-01 2.36861393e-01 -7.69129209e-03 2.20866665e-01 6.39009569e-03 -1.75371673e-02 3.93984057e-02 -1.03189824e-02 -3.67961787e-02 -1.67994246e-01 5.16842343e-02 -1.60969060e-03 7.54102832e-03 -7.19741080e-03 4.98328917e-03 8.14821348e-02 3.75764109e-02 4.20311838e-03 1.98651940e-01 -5.01401862e-03 2.51798588e-03 -3.14246980e-03 -1.15602240e-01 -1.98952600e-01 -1.09711103e-02 1.60035253e-01 -1.26951246e-03 1.88236486e-03 4.31918688e-02 -2.14836281e-02 6.94176406e-02 1.96948741e-03 4.87439847e-03 -7.18728406e-03 9.63321477e-02 1.50790568e-02 -4.60613333e-02 -2.13201647e-03 3.70225236e-02 -7.83650279e-02 -4.55911830e-02 7.67115429e-02 2.52073212e-03 -1.55690908e-02 -2.00797953e-02 -7.47216046e-02 3.10854018e-02 -1.59875932e-03 -9.65361856e-03 8.49399492e-02 1.31788328e-01 -2.03426054e-04 1.03229567e-01 -2.20968024e-04 6.63525462e-02 -5.61231235e-03 -8.94049089e-03 1.55150499e-02 -2.78974511e-02 -7.24673271e-03 -1.14946239e-01 -8.66987463e-03 -2.78236810e-02 1.52485356e-01 9.70302150e-02 1.33756444e-01 -1.33394329e-02] Cos Similarity tf.Tensor(0.3152358, shape=(), dtype=float32) (128,) (128,) [-9.33162197e-02 -1.67570606e-01 3.97639573e-02 -1.60874054e-01 -1.01775513e-03 1.34885386e-02 1.60002321e-01 7.56039768e-02 1.12606641e-02 -5.20602800e-03 2.31799185e-02 -6.42745863e-06 -1.95938628e-02 -1.48227229e-03 6.42018486e-03 1.08925045e-01 1.14263343e-02 1.16502948e-01 1.66484520e-01 1.05032206e-01 -1.36032313e-01 8.22196528e-02 -2.92143747e-02 1.24531820e-01 -9.18327086e-03 1.02178045e-02 -1.81977078e-01 4.92978236e-03 -1.56135663e-01 7.08784955e-03 -1.69547752e-01 -3.41493636e-02 -1.75523888e-02 1.06388358e-02 1.53974667e-01 -3.48571576e-02 1.05406698e-02 5.99060096e-02 -7.17445044e-03 9.20300186e-02 -1.72742546e-01 -3.09645338e-03 -5.63292857e-03 -6.71726791e-03 1.10799382e-02 1.75484329e-01 -1.33644208e-01 9.94625594e-03 1.25004556e-02 1.36948954e-02 2.52614659e-03 -2.40878412e-03 3.47964629e-03 9.48164146e-03 1.38179632e-02 8.52607470e-03 4.46298085e-02 2.11027521e-03 5.19295363e-03 4.87942947e-03 7.53378049e-02 -6.26162663e-02 1.02090470e-01 -1.81769265e-03 -1.15849324e-01 -1.64211258e-01 7.28118420e-03 -9.86598898e-03 -9.28756408e-03 1.70227796e-01 1.48012906e-01 -1.45109355e-01 3.10424063e-03 2.58420128e-02 1.24277559e-03 1.88714303e-02 2.22016703e-02 -2.86471602e-02 -4.94998973e-03 1.43717453e-01 1.28254283e-03 -1.75827183e-03 8.25802516e-03 -1.73553154e-01 1.78606138e-01 1.10087357e-01 1.02489531e-01 -7.59401068e-04 -9.81373619e-03 -8.05045217e-02 -1.04280032e-01 1.65555090e-01 1.22354794e-02 1.52153224e-02 -8.75909533e-03 -1.68004826e-01 1.03876911e-01 1.42481744e-01 6.10206556e-03 1.29367858e-01 9.38551798e-02 -1.71004102e-01 9.36913714e-02 -1.77197233e-01 -1.16438586e-02 -3.11377700e-02 1.59707233e-01 -4.23034141e-03 -1.97742432e-02 -1.14058182e-01 -7.28719160e-02 5.00203446e-02 -1.91418193e-02 -1.33914977e-01 2.17274483e-02 5.06662168e-02 1.47643819e-01 3.93312145e-03 -1.40815541e-01 -5.62030170e-03 9.47184977e-04 -6.25134706e-02 -1.61817786e-03 -2.85394536e-03 9.12297666e-02 -1.15620509e-01 -1.18013263e-01 4.28754324e-03] [-0.10092874 -0.1637769 -0.04205196 -0.19721259 0.00621997 0.13555962 0.16730857 -0.11036113 0.02660252 -0.00163329 -0.13246433 0.02269147 -0.01785045 0.00061636 -0.00121214 0.12274551 0.03490117 0.14089647 0.18479547 -0.09949785 -0.08953968 0.05852882 -0.14774409 0.11386055 -0.04711683 0.00197798 -0.20084314 0.00391875 -0.17294002 0.00043183 -0.12710223 0.00203022 0.00278415 -0.00456345 -0.01440399 -0.01352296 0.00109178 0.13126606 -0.01486651 0.0828058 -0.1718111 -0.00214136 -0.00353764 -0.01632175 0.0466744 0.15377484 -0.12400706 -0.0042 0.02665659 0.00974197 -0.00742446 0.00433209 -0.00562767 0.00966321 0.01481073 0.01212213 -0.05073843 -0.00602784 0.02049124 0.01374732 0.04035207 -0.07761893 0.0680691 -0.00389705 -0.12722677 -0.15986131 0.01415231 0.1115039 0.00243739 0.16892664 0.07651824 -0.15124898 0.00352763 0.02234672 -0.0399207 0.02757232 -0.03217775 0.06350514 0.00030282 0.16143037 -0.00415048 -0.00178072 0.01772824 0.01563621 0.10090569 -0.0454397 0.04028853 0.00506742 -0.01119916 0.07588316 -0.0275964 0.18404296 0.01413448 0.02991397 -0.00373504 -0.19651528 -0.13023676 0.09556359 0.00884449 0.19360219 0.1544389 -0.15993059 0.13453828 -0.16591494 -0.00136186 -0.01451225 0.12411352 0.01423399 0.00371427 -0.14020237 -0.10323092 -0.05245905 -0.02569894 0.06798579 -0.09784179 -0.05047407 0.02986725 0.00649715 -0.04666623 0.01283509 0.00521226 -0.01242986 -0.01112645 0.00625633 0.17548127 -0.12404175 -0.04190289 0.00291043] Cos Similarity tf.Tensor(0.7405498, shape=(), dtype=float32) (128,) (128,) [ 1.07131287e-01 7.24809021e-02 -4.57219668e-02 -7.27250949e-02 -1.98558196e-02 -3.02004535e-02 1.99530739e-02 -5.46317250e-02 -1.75775948e-03 -1.53434114e-03 -2.05731288e-01 -1.57161839e-02 1.06443055e-02 5.62896300e-03 5.51270545e-02 -6.71626348e-03 -9.27691907e-03 -5.82557805e-02 1.54398024e-01 -5.04586175e-02 1.30277246e-01 -9.14751366e-02 1.95804998e-01 1.34044029e-02 -2.68928998e-04 1.11422443e-03 2.19217211e-01 -2.63776239e-02 8.84307846e-02 9.17520002e-02 -1.89869404e-01 1.94511175e-01 -6.63528452e-03 -1.41806237e-03 6.22428283e-02 -7.12009612e-03 -6.98115211e-03 -2.32448056e-01 3.85454763e-03 -1.12483740e-01 -7.00184405e-02 -2.47692782e-03 -7.09061697e-03 7.50124780e-03 -1.12714954e-01 -8.15705508e-02 -9.15780291e-02 3.50347161e-03 5.85079007e-03 8.02166574e-03 4.80201142e-03 2.85287923e-03 -2.06688326e-02 2.96647544e-03 -1.37406541e-02 -6.40163373e-04 -9.57372040e-02 1.89791128e-04 1.86339382e-03 -1.29009606e-02 8.91905800e-02 -7.27727264e-02 1.95796639e-01 -7.03705521e-03 -1.22956231e-01 -6.51754439e-02 -2.73953136e-02 1.24883577e-01 -1.12483930e-02 -1.44365117e-01 -4.60336134e-02 -1.00755841e-01 -2.75153155e-03 6.67354930e-03 9.56279051e-04 6.32736948e-04 1.25672758e-01 1.60960034e-01 -3.53588676e-03 1.40668273e-01 -1.55486232e-02 4.62403335e-02 1.52889662e-03 -1.79901093e-01 -1.66685447e-01 1.46082655e-01 1.35047585e-01 1.19978783e-03 -5.47755556e-03 1.23670980e-01 8.49053860e-02 2.01265275e-01 3.38911708e-03 4.42631589e-03 -2.31765420e-03 2.78573353e-02 4.66043837e-02 -1.22194387e-01 -6.71084970e-03 -6.47171289e-02 -3.50831822e-02 1.23553045e-01 1.17912129e-01 1.77193433e-01 -1.87734291e-02 -1.06035927e-02 1.54679433e-01 1.28971748e-02 -1.09504610e-02 -1.64315432e-01 1.05989547e-02 -8.02319031e-03 -9.13933106e-03 7.74637982e-02 2.36677937e-03 1.66026235e-01 1.27941519e-01 -1.38030071e-02 -2.87499428e-02 -1.31504154e-02 6.11519907e-04 1.20304979e-01 -2.09345855e-03 -2.50669867e-02 -1.66104272e-01 4.27985229e-02 -1.25659611e-02 -1.47451432e-02] [ 7.49713555e-02 8.90874490e-02 -7.55455643e-02 -3.34009044e-02 -1.42126614e-02 2.48227846e-02 5.82634332e-03 -5.66788614e-02 -1.13952323e-03 -2.38500768e-03 -2.17709228e-01 -2.99130101e-02 6.68450538e-03 -6.53543994e-02 4.84760776e-02 -4.28920761e-02 -9.33537912e-03 8.99573341e-02 2.29709461e-01 1.20928176e-01 1.70597404e-01 2.35263836e-02 -4.98995036e-02 8.55181459e-03 -1.61447022e-02 1.22632773e-03 2.07939163e-01 -2.36925855e-02 1.37748867e-01 3.08428798e-02 -2.50609368e-01 1.30100414e-01 2.43535440e-04 -7.85223302e-03 -2.09115148e-02 5.96040301e-03 -1.46224732e-02 -1.63867369e-01 7.75053268e-05 -7.95588642e-02 -2.16301214e-02 5.82729373e-03 -6.99884025e-03 1.12043833e-03 -1.27756193e-01 -8.78515989e-02 -5.83456717e-02 5.23782009e-03 4.99595795e-03 3.24674882e-03 3.19853751e-03 2.58088321e-03 -2.90612765e-02 2.40037846e-03 -1.51276123e-02 -1.52034860e-03 -1.62954200e-02 -4.45700763e-03 1.97271747e-03 -1.63638126e-02 7.97572583e-02 -1.21923864e-01 2.37625018e-01 -4.96537774e-04 -3.75136249e-02 -1.58235338e-03 -2.60944907e-02 1.36268705e-01 -1.07186176e-02 -5.43426014e-02 -8.68419558e-02 2.70798430e-02 -4.87809908e-03 2.16349633e-03 -1.74608349e-03 3.52808367e-03 1.26776472e-01 7.06733614e-02 -2.91270367e-03 1.86045930e-01 -1.28214192e-02 3.58945597e-03 4.37606545e-03 -7.86731914e-02 -1.83599174e-01 1.26947969e-01 1.64629072e-01 -1.45943533e-03 -1.04965819e-02 1.48588926e-01 4.14619036e-02 1.92539558e-01 -5.17686317e-03 3.92263662e-03 -2.93985358e-05 2.01251119e-01 -6.55548051e-02 -1.38683870e-01 -1.63857557e-03 -3.96804325e-02 2.96486169e-02 1.18940715e-02 1.69497207e-01 -3.95682715e-02 -2.00499631e-02 -1.10568805e-02 2.02260390e-01 1.23586711e-02 -9.09750164e-03 -1.79387361e-01 4.78938781e-02 -4.34737504e-02 -4.13271179e-03 -1.83478976e-03 -1.54760166e-03 2.18802080e-01 9.83312055e-02 -1.29372329e-02 6.73492551e-02 -1.83223207e-02 -1.10537757e-03 5.53021021e-02 1.81529194e-03 -3.33033055e-02 -1.98398158e-01 6.39222264e-02 9.24000368e-02 -1.05693694e-02] Cos Similarity tf.Tensor(0.79838026, shape=(), dtype=float32) (128,) (128,) [ 0.09634349 0.19086853 0.0558658 0.13027845 -0.01516642 -0.05492589 0.07344291 0.10066105 0.01433718 0.00788044 -0.09310669 0.04669194 -0.00515638 -0.12360269 0.01494349 -0.0739435 0.03532004 0.098166 -0.16140708 0.09461247 0.14424905 0.11794318 -0.08800799 -0.10703656 0.03337384 0.03157941 0.1677596 0.00397313 -0.19753754 0.20142862 -0.19082934 0.0382828 0.01962924 0.03888898 0.21502651 0.04827351 0.03282093 -0.06679193 -0.02354386 0.13544191 -0.15913975 0.0020583 -0.00579892 0.0411941 0.17223477 0.00028432 0.04527304 0.04811646 0.03334813 0.02839296 0.01048855 0.00564331 0.03953305 0.01315897 0.03542289 0.04013291 0.18443336 0.01146793 -0.00536516 0.01528776 0.04363961 -0.0736818 -0.09138937 0.0337963 -0.11783554 -0.21165702 0.01655289 0.06072192 0.019355 0.13565436 0.02478051 0.05923425 -0.00169013 0.04003872 0.01138924 0.03654937 0.17645088 0.0096292 0.00837497 0.15909256 0.02068602 -0.00158195 0.01293831 0.19000886 -0.16822545 0.02263733 0.06955826 0.02549272 0.01563864 -0.01360261 0.07288712 0.1028901 0.02225762 0.02328597 0.03010308 0.04987117 -0.083813 -0.19339432 0.01801484 0.0513279 -0.0173081 -0.16759413 0.09985579 -0.19712806 -0.00825959 0.03132207 0.05243472 0.00792175 0.02763745 -0.18044493 0.00424777 -0.14183126 0.0391992 -0.04698615 -0.06213886 0.09235917 -0.01050198 -0.00682385 -0.01281888 -0.01122676 -0.01008223 -0.00151491 0.04160591 0.00928035 -0.04932062 0.01128389 -0.04208021 0.01097626] [ 0.1457709 0.10712077 0.07233866 0.04210645 -0.00427471 -0.0057577 0.16479294 0.10270345 0.01656565 -0.00043982 0.11699282 0.03030799 0.03559379 0.12216609 0.06479716 -0.07752073 0.01650686 0.17401199 -0.04168528 0.15933767 0.17449848 -0.12354318 0.1574258 -0.06465856 0.00719028 0.01844775 0.14183263 -0.0173636 0.13586693 0.11886986 -0.0997685 0.1574521 0.01852276 0.0322208 0.19190371 0.04844901 0.01989714 0.05790121 -0.02531378 0.1446472 0.03331357 -0.00217275 0.00233981 0.00394237 0.14557983 -0.13588299 0.01242408 0.03143264 0.01389364 -0.00328495 0.00202609 0.01453736 0.02447294 0.01009193 0.02893343 0.02612855 0.19492695 -0.029331 0.00036985 -0.01090858 -0.11579739 -0.13283733 0.12320861 0.02898552 -0.00347176 -0.19123264 0.01628985 0.03426405 0.01611002 -0.1274599 0.15825175 -0.14577869 0.00517967 0.01257602 0.01602059 0.02626037 0.04186184 -0.11548055 -0.00631211 0.16523837 0.00684207 -0.01257607 0.00759006 0.10067824 0.01650176 -0.04435865 -0.14929467 0.01874918 0.00765516 -0.07676444 0.07850701 0.00694037 0.0027252 0.00872464 0.00371642 0.18772131 0.01925768 -0.17374013 0.01063654 -0.14270164 -0.08450188 -0.10572509 -0.08684662 -0.09418447 -0.00764377 0.00394878 0.14420502 0.00031194 0.0085637 -0.16582917 0.14814162 -0.03465138 0.02229368 -0.08659349 -0.02443098 0.162616 0.02538899 -0.0092145 -0.04221038 -0.0234554 -0.01419908 0.01895976 0.01723316 0.00525703 -0.18651102 -0.00276639 -0.0770637 0.00255213] Cos Similarity tf.Tensor(0.46807146, shape=(), dtype=float32) (128,) (128,) [ 8.98070559e-02 -1.20498911e-01 9.59695131e-02 -1.42203405e-01 1.20430868e-02 -1.51129454e-01 -4.14041243e-03 8.09809789e-02 -8.13039136e-04 1.89957803e-03 -1.55812576e-01 -1.10096131e-02 2.78106835e-02 1.77684262e-01 1.45068606e-02 1.59808293e-01 1.07454723e-02 6.12618811e-02 -1.04511268e-01 -2.05890052e-02 1.29564345e-01 5.33174202e-02 9.05224215e-03 -2.39985958e-02 1.80652384e-02 -7.92502426e-03 1.65168643e-01 -5.36286691e-03 1.23717621e-01 -1.67030804e-02 -1.73262015e-01 7.79434219e-02 2.10726587e-03 5.21949632e-03 7.26056173e-02 5.10568265e-03 1.03198560e-02 1.19618489e-03 -9.90624540e-03 1.69338863e-02 -1.51725367e-01 -1.65217109e-02 -5.34797146e-04 -1.11546945e-02 4.58666719e-02 1.53789237e-01 -1.43103942e-01 2.25571170e-02 1.16450544e-02 4.44866950e-03 1.93402963e-03 7.76661374e-03 7.31234392e-03 8.41349550e-03 1.53502487e-02 6.13184692e-03 3.64078619e-02 -1.31948590e-02 -5.96853532e-03 1.34718632e-02 -5.18648513e-02 -1.07712641e-01 5.52855209e-02 -7.18850037e-03 -1.44583136e-01 8.63717403e-03 -7.43706187e-04 1.66318819e-01 9.43560526e-03 4.54406366e-02 -2.51029115e-02 -9.63978395e-02 -1.73728876e-02 -7.45662907e-03 1.77189559e-02 3.16609675e-03 -8.53349343e-02 1.45043045e-01 4.33805631e-03 1.59370482e-01 1.17168101e-02 -1.45599351e-03 9.11445078e-03 -1.60229817e-01 -1.79997131e-01 -8.07917789e-02 -3.62173207e-02 9.08657722e-03 -5.86979464e-03 7.33734667e-02 -1.82235941e-01 1.30809024e-01 9.64791514e-03 1.02894520e-02 1.35267824e-02 2.05022514e-01 7.53439143e-02 -1.90100133e-01 5.48918638e-03 1.09791070e-01 -1.66320577e-01 -8.80502015e-02 -2.52993498e-02 9.09145474e-02 -9.07470845e-03 -1.93305742e-02 1.09487452e-01 -1.94867421e-03 8.73848051e-03 -1.42011225e-01 1.56080857e-01 2.02893212e-01 -4.50737774e-03 -1.05789848e-01 3.02822180e-02 1.85204595e-01 2.01281324e-01 -5.78629901e-04 6.71157315e-02 1.46754691e-03 -1.73071790e-02 1.50782689e-01 -1.70569997e-02 -1.92241482e-02 -1.62742883e-01 8.79785419e-02 3.11196852e-03 1.79501498e-04] [ 6.46675080e-02 -1.81239069e-01 8.91722739e-02 -1.23557538e-01 -8.38876818e-04 -3.45145427e-02 -3.88965160e-02 3.34904715e-03 6.63548894e-03 7.82190263e-03 2.16831908e-01 -4.32243617e-03 2.12007761e-02 1.52810261e-01 2.43707690e-02 8.34026411e-02 4.88231052e-03 -1.44589663e-01 -2.31083125e-01 -8.88813362e-02 -1.35327242e-02 9.17184800e-02 7.26748854e-02 9.14815366e-02 1.91000365e-02 1.59453414e-02 1.64454520e-01 -7.23202573e-03 1.35775343e-01 -1.43452853e-01 8.54099691e-02 -4.01908085e-02 9.96612106e-03 8.68678966e-04 -3.83655317e-02 1.47268547e-05 9.45313275e-03 5.88776486e-04 -1.63904149e-02 9.31153670e-02 -5.19513153e-02 1.80981040e-03 6.00292720e-03 -1.07778423e-02 5.28150946e-02 -3.93334851e-02 -2.22639032e-02 1.48300575e-02 1.40546598e-02 -1.02171721e-02 3.00648296e-03 6.69416646e-03 1.23735406e-02 4.11064364e-03 1.01474077e-02 9.89913847e-03 2.13709339e-01 -2.30806023e-02 9.34615824e-03 5.08188596e-03 -2.01841414e-01 -6.48816815e-03 9.89979506e-02 -7.15684332e-03 -1.04692690e-01 -5.25080748e-02 -4.28708317e-03 6.96134642e-02 1.31572550e-02 1.63031816e-02 -1.37974739e-01 -8.83888975e-02 -2.03515049e-02 -1.37391407e-03 9.47526470e-03 -6.77098753e-03 -1.95648089e-01 1.16971985e-01 9.21150763e-03 1.41801596e-01 4.98915510e-03 -3.21049895e-03 2.72872462e-03 -5.81589863e-02 -1.98878482e-01 -1.33477256e-01 1.85699850e-01 1.02543337e-02 2.93596345e-03 -1.32596031e-01 -1.63616732e-01 1.32858634e-01 7.28258677e-03 1.70238335e-02 2.04048418e-02 6.90269470e-02 4.90894318e-02 -1.21027194e-01 2.57730368e-03 3.68268043e-02 8.82089436e-02 -2.11139187e-01 -4.25552875e-02 1.47288397e-01 2.08762172e-03 -3.38474512e-02 -1.48290992e-01 3.34710139e-03 4.33422485e-03 6.74556345e-02 4.40632999e-02 2.14251429e-01 2.21772864e-03 2.21825745e-02 2.48170421e-02 2.18699723e-01 1.31228760e-01 -2.84399721e-03 -1.06014542e-01 4.89273109e-03 -1.81516167e-02 1.41488060e-01 -2.22427994e-02 -1.36612281e-02 -9.52540189e-02 4.25273553e-02 -3.93895432e-02 -7.25505932e-04] Cos Similarity tf.Tensor(0.5181848, shape=(), dtype=float32) (128,) (128,) [-1.79300874e-01 -1.15305208e-01 6.46683425e-02 1.66599408e-01 -1.49033107e-02 -6.03644364e-02 -1.92884684e-01 -7.17380717e-02 -5.32460958e-03 -8.98613408e-03 1.59282893e-01 6.01261808e-03 4.96158330e-03 -1.36136353e-01 6.21537752e-02 -1.53387904e-01 -5.46037219e-04 -6.10689670e-02 -1.26381189e-01 -6.42264485e-02 -3.55751663e-02 5.96902259e-02 4.21364270e-02 8.37165415e-02 -6.32406818e-03 3.48388217e-03 -9.29617360e-02 2.11492484e-03 -1.37794286e-01 -8.74207318e-02 -1.37032062e-01 1.52805552e-01 -9.82049573e-03 -7.14648375e-03 -1.71765432e-01 -1.53915910e-02 -4.49585468e-02 1.76020116e-01 -2.70464411e-03 -8.82479828e-03 1.80142894e-01 3.56944860e-03 7.23833637e-03 -1.01188347e-02 -1.40010610e-01 -8.03982690e-02 -1.18236326e-01 4.18883888e-03 1.08689796e-02 -7.32802646e-03 3.53150954e-03 -6.82654150e-04 -9.66023095e-03 3.27166123e-03 -1.65399034e-02 -1.41629961e-03 1.17853105e-01 5.90915047e-03 1.18776131e-02 -6.21263636e-04 -4.06881608e-02 -9.73474756e-02 -1.67371497e-01 -1.70119405e-02 1.41701177e-01 -1.26697466e-01 -1.35617228e-02 -8.17088112e-02 -6.82666898e-03 1.62616968e-01 -1.22351311e-01 -5.62114008e-02 -2.89804325e-03 1.18196076e-02 -2.73815859e-02 6.97342213e-03 -1.15882851e-01 -1.06664263e-01 -3.26839532e-03 1.28016192e-02 9.27594781e-04 2.25153728e-03 1.27471541e-03 -1.00457579e-01 8.60060975e-02 1.09797105e-01 -1.60408750e-01 3.85513809e-03 -6.38896017e-04 1.25696540e-01 -2.87924819e-02 1.30141467e-01 -5.20449458e-03 1.29597606e-06 3.82442307e-03 -1.89940691e-01 -6.55941814e-02 -6.39674589e-02 9.01311170e-03 1.59943402e-01 1.43990472e-01 -1.76292628e-01 1.68558046e-01 1.88095972e-01 9.74971149e-03 -1.21873859e-02 -7.16628656e-02 -3.50527391e-02 6.07457059e-03 3.52172152e-04 -1.97914988e-02 -1.03071176e-01 -1.09492335e-02 -1.17071167e-01 -9.51619446e-02 1.86414182e-01 -6.05730936e-02 3.47031467e-03 1.88859385e-02 6.94332551e-03 2.52109068e-03 -1.14843205e-01 2.49056406e-02 -6.10276824e-03 -1.27052709e-01 -5.14036566e-02 -8.66121240e-03 -6.50194939e-03] [-0.16757962 -0.0128811 -0.03996538 0.16165213 -0.01766784 0.13894221 -0.16449416 -0.20086032 0.00258534 -0.00884578 -0.03618491 -0.0052366 0.00308401 -0.10262878 0.06702401 -0.11058914 -0.00137238 0.15436333 -0.01879466 0.0732816 0.1730236 0.15104465 0.07435557 0.09154998 -0.01624609 0.0063092 -0.1729778 -0.00230181 -0.04718673 0.09450325 -0.13408798 0.11666249 -0.01742044 0.00295721 -0.13903613 -0.00931041 -0.04766668 0.11297502 0.00199665 -0.08933257 0.10913106 -0.00255968 0.00560352 -0.01448142 -0.10805625 -0.13869724 -0.15133223 -0.00205499 0.01073108 -0.00393245 0.00417076 0.00119309 -0.02095131 0.00272178 -0.03057439 -0.0082831 -0.07171945 0.00369115 0.00667697 -0.01455943 -0.01344686 -0.17262827 -0.18941186 -0.02120312 0.14680338 -0.1595172 -0.01262963 -0.17776465 -0.0167892 0.1831982 -0.12932563 -0.1188205 -0.00222682 0.00455408 -0.01303238 0.00516913 -0.15724243 0.07701116 -0.00349181 -0.1510231 0.00071109 0.01071155 -0.00595078 -0.05919028 0.06757203 0.12733752 -0.12562141 0.00114408 -0.00346986 0.00104841 0.11580435 0.15741868 0.00041917 0.00403448 0.00075691 -0.17325859 0.09564457 -0.09022413 0.0066178 0.1105094 0.1368419 -0.1105584 0.06879842 0.11919021 -0.00802754 -0.01450885 -0.17041297 -0.0041348 -0.01609476 0.08723151 -0.13641053 0.02328898 -0.01492152 -0.0078325 -0.03813394 0.02721734 0.09483983 0.0051043 -0.09079217 -0.00992252 -0.00172661 -0.07511011 0.01898688 0.00294542 0.05202105 -0.05992804 -0.05806778 -0.0130271 ] Cos Similarity tf.Tensor(0.65307164, shape=(), dtype=float32) (128,) (128,) [-1.67157486e-01 -1.67723030e-01 -4.35758196e-02 -1.14832528e-01 -2.89010555e-02 1.36049673e-01 1.42642424e-01 -1.22024924e-01 6.60809968e-03 -3.43554933e-03 5.43202721e-02 1.31906783e-02 8.47831182e-03 -2.87018605e-02 2.83562206e-02 -6.81736097e-02 -5.24918456e-03 6.39978051e-02 -1.47885278e-01 -1.35281324e-01 1.11211888e-01 5.05824648e-02 -2.09855795e-01 -1.22132497e-02 1.53394584e-02 1.30119547e-02 1.04094982e-01 -2.34573148e-02 1.32114142e-01 -7.74722323e-02 1.39271185e-01 5.26793078e-02 1.05909780e-02 -8.41210503e-03 3.54123078e-02 -1.56336911e-02 -3.60221788e-02 1.92660853e-01 2.12879386e-03 4.74746488e-02 1.62127197e-01 -2.50527100e-03 -5.22573339e-03 -5.99340582e-03 -1.41806334e-01 -8.44218656e-02 2.39807814e-01 1.18449843e-02 1.29519664e-02 1.94762014e-02 6.75030379e-03 2.86043622e-03 -1.70298703e-02 6.44814037e-03 -1.86506044e-02 -5.54915844e-03 1.12966076e-01 -2.43368582e-03 1.03334337e-02 -1.99474543e-02 2.18485799e-02 -2.10486203e-01 -1.10248588e-01 -4.56823781e-03 -2.50492752e-01 -1.68768875e-02 -5.60450554e-03 9.38339904e-03 -2.09441632e-02 -1.21104710e-01 1.85501315e-02 2.33172864e-01 7.10032228e-03 -8.23719986e-03 -7.61540700e-03 1.41285658e-02 9.09445062e-03 -1.47483284e-02 6.19162107e-04 1.45374872e-02 -7.23074749e-03 7.80881289e-03 -5.10876440e-03 -1.41822115e-01 -4.09573466e-02 -1.23431824e-01 3.84441316e-02 6.03643013e-03 -1.87050253e-02 4.69041467e-02 1.79853700e-02 -1.36912003e-01 2.58647650e-03 4.63835848e-03 5.81392739e-03 -1.93756148e-01 -1.23945825e-01 1.09325632e-01 -3.54164187e-03 1.01898298e-01 3.44315656e-02 1.08679608e-01 8.69280547e-02 1.23379212e-02 -2.03633849e-02 7.13679334e-03 -1.74630776e-01 2.17264723e-02 6.69147994e-05 -1.52841546e-02 -8.88055265e-02 -1.15132794e-01 -1.05875032e-02 1.52889356e-01 -7.03852773e-02 -8.52722116e-03 5.38686924e-02 -1.80039229e-03 2.10755154e-01 -3.77696492e-02 -1.93914259e-03 1.07510008e-01 2.50971317e-02 -9.21218190e-03 -2.13653758e-01 -2.09795609e-02 -1.97412190e-03 -1.23803196e-02] [-6.86626062e-02 -1.38663322e-01 -7.26817697e-02 -1.01696245e-01 -3.53522673e-02 -1.62161008e-01 1.88922957e-02 -1.71378389e-01 8.16303585e-03 -3.93497478e-03 -3.06215696e-02 1.27085310e-04 7.22295023e-04 -2.42611915e-02 -5.17116860e-02 -8.32973793e-02 -5.61749935e-03 -2.08360162e-02 -1.06858730e-01 5.59483655e-02 7.87721425e-02 4.42275293e-02 -1.94944233e-01 -1.36025380e-02 4.60507290e-04 8.33684672e-03 1.94997877e-01 -3.48934941e-02 1.10590242e-01 -2.30474882e-02 1.05763406e-01 1.35473326e-01 4.09854855e-03 -2.32201777e-02 -1.50459528e-01 -3.15581001e-02 -6.40939400e-02 1.82289705e-01 2.28596013e-03 5.44034224e-03 1.71505436e-01 2.02086591e-03 -6.78300904e-03 -9.66866314e-03 -1.10419177e-01 -7.66605809e-02 1.74595252e-01 1.33191422e-03 8.89615342e-03 3.68570792e-03 3.91991390e-03 1.21310016e-03 -2.52297968e-02 3.01489863e-03 -2.16199756e-02 -7.92805199e-03 1.56443477e-01 -2.76205479e-03 4.37649526e-03 -2.95634121e-02 5.27261123e-02 -1.70675665e-01 -9.75967422e-02 -5.83351078e-03 -2.11148322e-01 -1.88611895e-01 -1.21088652e-02 -1.56708166e-03 -2.85939928e-02 -1.56910419e-01 6.79624975e-02 1.76360726e-01 2.89329630e-03 4.38239367e-04 -9.61505529e-03 7.71736144e-04 1.10809831e-02 3.40192989e-02 -3.46342544e-03 5.99644259e-02 -1.69749353e-02 9.90224909e-03 -1.10908141e-02 -1.77627251e-01 -1.38169184e-01 -1.60429865e-01 8.80805105e-02 2.37507644e-04 -1.89592931e-02 1.15297183e-01 1.21259481e-01 -5.46944886e-02 -1.56171992e-02 4.67913738e-03 -1.23977941e-02 -1.45712405e-01 2.12828085e-01 1.65651401e-03 -1.70753505e-02 1.37939915e-01 4.33406457e-02 4.54480983e-02 9.23037380e-02 1.52079239e-01 -1.66742597e-02 7.51015591e-03 -2.81596538e-02 2.92343460e-02 -7.67868711e-03 4.69464548e-02 -8.59584138e-02 -1.98986277e-01 -2.28212960e-02 4.52810600e-02 1.03932008e-01 -8.01201835e-02 1.17468968e-01 -9.32642817e-03 1.71653435e-01 -1.52489208e-02 9.50099621e-03 -6.20198436e-02 1.63454134e-02 -3.75405140e-02 -1.40262872e-01 2.90006939e-02 1.26266524e-01 -1.29469624e-02] Cos Similarity tf.Tensor(0.6898063, shape=(), dtype=float32) (128,) (128,) [ 5.48097938e-02 2.81871557e-02 5.68137728e-02 -1.60882115e-01 -6.35559717e-03 4.71907370e-02 -5.48424050e-02 1.70665652e-01 -1.51425693e-02 -4.91414499e-03 -2.53050704e-03 -1.64496489e-02 -1.18613783e-02 1.20167144e-01 -5.69175333e-02 6.71373308e-02 3.77464434e-03 -1.64020255e-01 2.06586551e-02 -1.18362457e-01 -4.28827219e-02 -1.32692158e-01 -2.32234478e-01 1.50178224e-01 1.12744635e-02 3.07338987e-03 -9.92991105e-02 1.04883325e-03 4.59315255e-02 -1.38462156e-01 -2.11659253e-01 8.00295249e-02 1.38584748e-02 1.04060555e-02 1.61599249e-01 -3.73279005e-02 -6.90447912e-03 9.03906673e-02 -1.02206366e-02 1.71615198e-01 7.07011521e-02 5.50969876e-03 2.09868667e-05 -2.66093537e-02 1.15584396e-01 -3.43432538e-02 -5.02391122e-02 6.76005753e-03 6.79231202e-03 1.71750747e-02 1.11089395e-02 1.13523575e-02 1.21815661e-02 3.81689286e-03 1.13260411e-02 1.70115978e-02 -4.00933847e-02 4.61601914e-04 -7.19172368e-03 7.91821070e-03 -1.41089289e-02 -3.30415298e-03 6.68551549e-02 -1.62108336e-03 -1.85286909e-01 -1.53927550e-01 -3.97523493e-03 -5.87821528e-02 -1.00184409e-02 5.66313230e-02 -9.63660628e-02 -8.08309764e-02 6.35585375e-03 1.11864936e-02 -2.88413907e-03 7.28350459e-03 -1.99950457e-01 2.32078806e-02 -4.73901303e-03 -2.35529527e-01 -1.07772434e-02 2.12632422e-03 3.97620164e-03 -2.14976549e-01 2.42968695e-03 -1.54011458e-01 -2.40659654e-01 8.44476558e-03 -9.89434589e-03 2.73961183e-02 -1.57648087e-01 -1.74367160e-01 -2.37210747e-03 1.28582986e-02 1.98031031e-02 1.30518600e-02 2.73306370e-02 4.65835407e-02 2.75061140e-03 1.33309156e-01 -1.10449931e-02 -1.57841340e-01 1.30786344e-01 4.45133299e-02 -1.91535056e-02 -2.53388863e-02 -8.63582268e-02 -8.40141845e-04 -9.48863290e-03 -2.17832491e-01 8.05793777e-02 -8.45545232e-02 -2.19714921e-02 1.30216733e-01 4.74238805e-02 -1.53085992e-01 6.36481494e-02 -1.31237647e-03 5.50564798e-03 -2.98784021e-03 -6.42224774e-03 1.29220888e-01 1.86353065e-02 1.69827568e-03 -5.57762347e-02 -4.01131511e-02 -1.69634834e-01 -3.75723350e-03] [-0.01777092 0.0250513 0.04785316 -0.15821993 -0.00722043 0.04721801 0.05508711 0.17431998 -0.00530244 -0.01035465 -0.03490934 -0.0105149 -0.01903689 0.14032169 -0.06927032 0.07586444 -0.00375054 -0.12636042 0.0253293 -0.20384546 -0.04710685 -0.11029186 -0.20802148 0.17474315 0.00372374 0.00307222 -0.10750355 -0.01044443 -0.01905893 -0.12599035 -0.21689643 0.04582388 0.00538574 0.00186206 0.09098723 -0.04405885 -0.00360561 0.07773901 -0.00659671 0.11210646 0.04822446 0.00533885 0.0009307 -0.02378214 0.097271 -0.09779619 0.20844345 -0.00197938 0.0034388 0.00734887 0.00833513 0.01067492 0.00498714 0.00279787 0.00105957 0.01076327 -0.04529595 0.00538778 -0.01194652 0.0052778 -0.02221594 -0.0044722 0.04821809 -0.01205844 -0.18686178 -0.14605464 -0.006687 -0.17576109 -0.02114342 0.0568792 0.08996429 -0.05137336 0.00522395 0.00850848 -0.00768051 0.00272286 -0.18235141 0.039693 -0.00505218 -0.21932925 -0.01626297 0.00222204 0.00226347 -0.12776616 -0.00080273 0.05031749 -0.24134964 0.00548132 -0.01440755 0.06369707 -0.1627735 -0.128349 -0.00988635 0.01157844 0.01101527 0.12131145 0.02634444 0.05222421 -0.00636047 -0.00623813 -0.12503754 -0.14712279 0.09750326 0.03240908 -0.0296458 -0.0168183 -0.14265674 0.00951859 -0.01496864 -0.20414828 0.08543222 -0.07510829 -0.02318129 0.14575669 0.06094794 -0.19149096 0.03364343 -0.0054204 -0.02598228 -0.01606861 -0.00796397 0.1277023 0.01234454 0.01188472 -0.16115238 -0.02801171 -0.14341068 -0.01003208] Cos Similarity tf.Tensor(0.856824, shape=(), dtype=float32) (128,) (128,) [ 1.66756541e-01 1.74127296e-01 -3.44797857e-02 1.02706134e-01 7.98548106e-03 1.10734984e-01 -3.14152576e-02 1.19895890e-01 -6.71893358e-03 -1.58922039e-02 -9.70718712e-02 -4.54396103e-03 -6.63327007e-03 1.99212387e-01 6.72009364e-02 -1.80304885e-01 -2.45000403e-02 -9.91779342e-02 -1.40488401e-01 -2.32537892e-02 -6.16451278e-02 1.55478776e-01 1.41323581e-01 1.09923102e-01 2.31412982e-04 -1.58542622e-04 1.19476043e-01 -1.57992169e-02 -9.45275500e-02 -4.90457192e-02 5.33836298e-02 5.37446439e-02 -9.62990988e-03 -1.16844140e-02 1.06663024e-03 -2.77214516e-02 -2.34078411e-02 -4.70644310e-02 -3.80363991e-03 -1.28021881e-01 -4.73474227e-02 -6.09434955e-03 -1.39401704e-02 -1.07917702e-02 1.91502467e-01 6.56118467e-02 -1.03066238e-02 -2.84775849e-02 -1.86687685e-03 4.17911308e-03 2.61705578e-03 3.91489314e-03 -1.35056041e-02 -1.17932810e-04 4.10180027e-03 5.74101182e-03 9.95206088e-02 -4.70760511e-03 -5.40701440e-03 -1.30910743e-02 9.97488759e-03 -1.24357820e-01 4.23407927e-02 -9.44632292e-03 2.02574953e-01 4.05365601e-02 -1.26116518e-02 -1.01138934e-01 -9.91863199e-03 -6.17617276e-03 1.02623865e-01 7.99123123e-02 5.24789980e-03 2.33248202e-03 8.56790598e-03 7.60500692e-03 -1.51076764e-01 1.48428112e-01 -4.25658625e-04 1.78506389e-01 -1.25518087e-02 -5.07204123e-02 -7.38672260e-03 -1.91189885e-01 6.62965998e-02 4.19164486e-02 -2.07597643e-01 6.72880141e-03 -1.08974492e-02 1.06328487e-01 -1.50411099e-01 1.55933931e-01 -6.45282632e-03 8.38130526e-03 -6.47808332e-03 -1.26425534e-01 -3.64171900e-02 1.46415591e-01 -6.38636481e-03 -1.83702260e-01 -1.30672246e-01 -4.50280607e-02 -1.83995105e-02 -1.90765738e-01 -2.58725067e-03 -6.44608447e-03 5.06560951e-02 -1.09655149e-02 -4.21239324e-02 8.41151401e-02 1.32127136e-01 -1.38799086e-01 -1.21040763e-02 2.86100842e-02 -4.34776619e-02 1.30557820e-01 1.42778367e-01 -5.83504373e-03 2.09929824e-01 -2.84577832e-02 -3.26056872e-03 -1.89942587e-02 4.11418686e-03 -1.81692634e-02 1.98806852e-01 6.36871383e-02 2.74564810e-02 -4.41721315e-03] [ 4.66162935e-02 1.21326442e-03 5.39830811e-02 1.95240185e-01 -4.34904033e-03 1.45235537e-02 3.14090662e-02 6.08239099e-02 -1.34469904e-02 -1.63476076e-02 4.40842676e-04 1.61062414e-03 4.39195102e-03 7.72701204e-02 5.82172349e-02 -1.23486342e-02 1.11473771e-02 -3.16206925e-02 1.96376100e-01 1.42987389e-02 -2.11984828e-01 -1.36378407e-01 -1.36623815e-01 -3.20437700e-02 -1.13508413e-02 2.42277602e-05 1.71748877e-01 9.72434133e-03 -1.94149867e-01 1.89186469e-01 2.21719652e-01 -2.00491533e-01 2.35083811e-02 6.03772886e-03 1.63111806e-01 3.42249591e-03 8.02189577e-03 1.52484879e-01 -6.03150064e-03 -1.13060161e-01 7.86294043e-02 4.89636883e-03 -8.44210107e-03 1.27000678e-02 2.67912094e-02 4.49177288e-02 1.03384912e-01 7.39880046e-03 5.33760386e-03 7.06329057e-03 1.18925003e-02 -4.67556436e-03 -3.14628240e-03 4.69299080e-03 3.12077976e-03 5.91427181e-03 4.18433957e-02 -3.13159009e-03 -2.45861040e-04 -6.76982757e-03 -2.59639975e-02 2.44244803e-02 1.86567381e-01 -1.11496383e-02 -2.00627372e-01 1.21640317e-01 -8.57045688e-03 -1.25717357e-01 -7.90615287e-03 1.47956982e-01 1.09657876e-01 4.79424670e-02 2.06422992e-04 7.77193857e-03 -1.72107294e-02 2.22895835e-02 9.97049212e-02 4.66668718e-02 -4.62573837e-04 5.04164584e-02 -1.22313737e-03 -1.54449721e-03 7.09475833e-04 2.29185540e-02 1.20551407e-01 -7.64362961e-02 -4.14873622e-02 1.18884882e-02 -8.05193000e-03 -1.24092586e-01 -1.16757698e-01 -7.08673596e-02 -4.42509120e-03 1.95891205e-02 1.02912728e-02 3.00991461e-02 -2.35520303e-01 -1.46494672e-01 1.98235246e-03 2.12070897e-01 -1.45989552e-01 -1.56859532e-01 -1.10594720e-01 1.24538042e-01 -2.80510075e-03 3.62936873e-03 -1.44295812e-01 -8.08474142e-03 -3.07121174e-03 7.90288225e-02 -1.13093562e-01 1.40919447e-01 -1.10476725e-02 -6.98873252e-02 -6.69720396e-03 -1.71318240e-02 2.26455852e-01 -2.10855100e-02 -2.47881934e-02 -2.76482273e-02 1.98012516e-02 1.25476625e-02 1.27649177e-02 5.11641800e-03 9.25466642e-02 -3.62598267e-03 2.13548634e-02 1.74994010e-03] Cos Similarity tf.Tensor(0.0007957369, shape=(), dtype=float32) (128,) (128,) [ 1.95127934e-01 1.01175092e-01 -8.07787180e-02 -6.67778030e-02 -1.52480267e-02 2.81707235e-02 3.29286302e-03 -1.62540495e-01 -1.50635699e-03 -6.74251374e-03 -2.42302656e-01 -1.92235932e-02 6.43337425e-03 1.09763324e-01 7.39805773e-02 -1.10147791e-02 -1.34125967e-02 4.13325951e-02 1.81492746e-01 1.37690783e-01 1.66919827e-01 -3.65261734e-02 -8.65738466e-03 -9.98816080e-03 -3.69276106e-02 -1.50026113e-04 1.92948878e-01 -2.71279961e-02 1.17823847e-01 4.73602265e-02 -2.51816928e-01 1.57072484e-01 -5.13549568e-03 -4.74116718e-03 -2.61033252e-02 -1.33394275e-03 -1.06662260e-02 -5.51181324e-02 -2.42562848e-03 -1.38596132e-01 -7.82038420e-02 6.81149599e-04 -7.90897943e-03 6.82020187e-03 -1.54204145e-01 -1.15248270e-01 -5.86909838e-02 6.94502983e-03 5.88088064e-03 7.54110329e-03 5.54042077e-03 -1.19413901e-03 -3.01251411e-02 2.13431544e-03 -9.90301650e-03 1.18475058e-03 -9.66902673e-02 -8.85040150e-04 2.97030481e-03 -2.18350980e-02 6.07618429e-02 -1.89960171e-02 1.94729507e-01 -7.04889884e-03 -1.10387929e-01 5.04128560e-02 -9.56437178e-03 9.91417747e-03 -1.48107139e-02 1.48089537e-02 -8.96551311e-02 -5.14560416e-02 -1.17115921e-03 2.89273052e-03 -7.81028392e-03 8.03378224e-03 1.54480487e-01 6.80610090e-02 -1.20713923e-03 2.16810927e-01 -1.00254389e-02 1.69689406e-03 2.45511439e-03 -9.33260843e-02 -2.13530228e-01 1.45222574e-01 4.81950529e-02 4.55811154e-04 -5.73676266e-03 1.43228069e-01 1.07746750e-01 1.92447677e-01 -2.48871348e-03 6.82334416e-03 -6.01403462e-03 1.81023255e-01 6.15129918e-02 -1.16455339e-01 -9.04538576e-03 -9.97194871e-02 -7.76756033e-02 -7.51433149e-02 1.04003578e-01 1.14759862e-01 -1.86894629e-02 -5.90312202e-03 1.66562200e-01 1.56140514e-02 -1.22873904e-02 -5.06868586e-02 2.98770349e-02 -4.84313965e-02 -7.48326117e-03 2.75565498e-02 -5.87780867e-03 1.55153394e-01 1.38096899e-01 -1.59923490e-02 9.36194062e-02 -2.60426924e-02 -6.02179964e-04 5.45925722e-02 2.89737451e-04 -4.18808647e-02 -1.68329269e-01 4.32121865e-02 1.38537630e-01 -1.10490303e-02] [ 1.24023825e-01 8.49759504e-02 -5.56447282e-02 -5.03160097e-02 -2.79254699e-03 1.71596347e-03 -5.05530573e-02 -1.88751947e-02 -1.08052148e-02 -2.77571450e-03 -2.33429030e-01 7.64294807e-03 1.87399983e-02 1.01358615e-01 6.24513961e-02 5.85894026e-02 7.09146028e-03 1.29061162e-01 1.15080066e-01 -2.43623350e-02 1.19814917e-01 -1.21174581e-01 -1.11907916e-02 6.28944412e-02 -4.45132551e-04 9.88429971e-03 1.41856432e-01 -1.20448750e-02 1.64958969e-01 1.17714308e-01 -2.20175460e-01 1.17825568e-01 -2.46176347e-02 1.76394656e-02 -6.95231408e-02 2.00670063e-02 1.66361444e-02 -2.11175587e-02 -1.89284775e-02 -1.15338072e-01 2.79617365e-02 1.04574232e-04 -2.33591441e-03 1.85460353e-03 -1.28966868e-01 -4.95482087e-02 -3.63175832e-02 1.01555884e-02 1.75477248e-02 1.62452776e-02 9.17221047e-03 5.90370130e-03 -4.86124074e-03 6.77032396e-03 1.18200071e-02 1.24245035e-02 -9.62904170e-02 -1.90361422e-02 4.36333707e-03 -3.02993110e-03 6.23738915e-02 -1.08376637e-01 1.86083913e-01 5.90371527e-03 -1.15338974e-01 2.11504512e-02 6.95519755e-03 4.23027296e-03 5.64692635e-03 1.09026328e-01 -4.79973219e-02 -1.36953622e-01 -6.35500357e-04 1.34515567e-02 3.05332616e-03 2.26583518e-02 1.55974776e-01 1.10234626e-01 -1.32760853e-02 2.27960184e-01 -7.66976271e-03 -1.16261290e-02 1.08794561e-02 -1.28583893e-01 -2.09706336e-01 1.24394029e-01 -3.19440551e-02 3.16480710e-03 -1.22697242e-02 4.24434692e-02 8.23830813e-02 1.67650327e-01 1.48470863e-03 2.28617042e-02 9.37623531e-03 2.09966198e-01 1.00816309e-01 -2.09892720e-01 5.46402844e-05 -1.27010390e-01 1.49912396e-02 -1.03308633e-02 1.77234724e-01 1.19563557e-01 -1.71555411e-02 -1.73032936e-02 1.89684242e-01 1.71782461e-03 4.73237946e-04 -1.73564523e-01 -8.15692395e-02 -7.54579306e-02 2.68701185e-03 -2.65850611e-02 -3.45542282e-02 1.51308998e-01 1.38507009e-01 -2.02849749e-02 -1.01606496e-01 1.18759437e-03 3.90616665e-03 1.39880523e-01 6.76975073e-03 -2.23712157e-02 -1.74443811e-01 3.69172171e-02 9.29321721e-02 -1.39066996e-02] Cos Similarity tf.Tensor(0.85412383, shape=(), dtype=float32) (128,) (128,) [-0.05692661 0.14871782 0.13642214 0.08105436 -0.00309888 -0.01271778 0.14376543 0.02479449 -0.01060407 0.00272992 -0.03994593 0.02700892 -0.0005959 -0.05288288 -0.01489861 -0.19815677 0.02063365 0.13506922 -0.08827384 -0.09373419 -0.17307474 -0.08904012 0.05194909 0.00935151 0.03124614 -0.00351741 0.10178079 0.00741704 0.06821426 -0.03346932 -0.09390305 -0.08414392 0.01145652 0.02453108 -0.12150566 0.00648541 0.02162767 -0.12161815 -0.03411841 0.1494021 -0.19979225 -0.01380317 -0.00116776 -0.0005124 0.00709713 0.03081029 -0.12184771 0.03992067 0.0268341 0.01529864 0.01428199 0.00497704 0.05184142 0.01430826 0.04515057 0.02292978 0.02785567 0.02441403 0.00750347 0.03198504 -0.11415391 0.08246452 0.17280133 0.01915149 0.0534824 -0.00087184 0.01619246 -0.1191872 0.01504331 0.1442541 0.16210277 -0.13557677 0.00213206 0.01923419 0.01739218 -0.00238394 0.16407122 -0.0058486 -0.01081369 -0.05113351 0.01262723 -0.00472893 0.00954431 0.10996544 -0.06690107 -0.12223163 -0.19517761 0.00624727 0.00493477 0.16074029 0.0574492 -0.17003496 0.01820945 0.00980552 0.01853651 0.16795798 -0.05784366 -0.16394116 0.0150742 0.10055845 0.19520046 0.09663431 0.16013636 -0.20214836 0.01663542 0.00722167 0.10992781 0.00427044 0.03665762 0.13548173 -0.08806258 -0.19501694 0.04468299 -0.07361016 -0.04903221 -0.00549454 -0.06774043 0.00738037 0.21693435 0.03167287 -0.01567307 0.0193881 0.04191945 0.00421489 -0.17084044 0.07863289 -0.01389306 0.00041876] [-7.35087991e-02 1.98526666e-01 5.36368527e-02 -9.03775245e-02 -8.54863133e-03 -1.30526990e-01 1.80986077e-01 1.36282131e-01 1.39919599e-03 -4.68334090e-03 -1.35911331e-01 1.73604768e-02 4.18656366e-03 1.17734782e-02 -1.54962335e-02 -7.25849271e-02 -1.26510104e-02 8.40654373e-02 1.91380739e-01 -1.15205221e-01 -2.13087738e-01 1.63056716e-01 1.49581805e-01 5.43781789e-06 -1.22616477e-02 4.12248977e-04 -9.14190039e-02 -8.50644521e-03 1.59696281e-01 -7.67900795e-02 -1.20304875e-01 1.18456094e-03 -4.47446993e-03 4.61845379e-03 1.76530659e-01 1.18888924e-02 7.88788870e-03 -8.94716848e-03 2.79359403e-03 4.76509407e-02 -6.51309937e-02 -3.45950760e-03 1.86485040e-03 2.08893288e-02 -6.78307861e-02 9.74911675e-02 -1.02060653e-01 1.12423133e-02 4.56675747e-03 1.53151779e-02 9.91812348e-03 1.68594276e-03 1.56193711e-02 1.01314811e-02 1.87082682e-02 3.47381923e-03 1.84072763e-01 -7.46665196e-03 8.18443950e-03 4.95158182e-03 6.63206652e-02 -1.93103507e-01 -1.38179464e-02 2.64174561e-03 -1.25151500e-01 -1.50381431e-01 -1.29062042e-03 -1.97019074e-02 -1.01669263e-02 1.54151931e-01 5.78952618e-02 1.16153955e-01 7.02827424e-03 1.78868417e-02 1.04939034e-02 2.10810062e-02 1.76352963e-01 -2.42180880e-02 3.83238983e-03 -2.78350860e-02 1.18294973e-02 -5.45285700e-04 7.23718153e-03 -9.59462449e-02 7.26524442e-02 1.69390887e-01 -2.02013314e-01 1.21556101e-02 -3.34994821e-03 -1.92530766e-01 -1.07720636e-01 -8.66575316e-02 2.09353515e-03 4.62091761e-03 -5.12772985e-03 -1.33298617e-02 -2.18249541e-02 4.69506048e-02 3.66003625e-03 3.28231417e-02 1.97965857e-02 -8.74726772e-02 -1.90776795e-01 -8.90141129e-02 -2.21228460e-03 -1.97528806e-02 -1.37262285e-01 -3.25818313e-03 -5.76576213e-07 6.71353042e-02 1.97372347e-01 1.43930435e-01 4.44803061e-03 -1.61717296e-01 -8.68386850e-02 1.34078652e-01 -1.41423777e-01 -1.90810692e-02 1.75266847e-01 9.53534059e-03 -1.99126615e-03 -3.46749797e-02 2.64645135e-03 -3.61644337e-03 -7.47106895e-02 4.80821356e-02 1.12962015e-02 8.94968805e-04] Cos Similarity tf.Tensor(0.16057543, shape=(), dtype=float32) (128,) (128,) [-1.08061209e-01 -9.32491720e-02 -3.86326239e-02 -2.67115217e-02 -2.46866629e-03 -5.67512028e-02 -5.50482608e-02 -8.91632214e-02 9.46524367e-03 6.21842640e-03 -1.81938335e-01 9.16910917e-03 -6.93213986e-03 -1.85684845e-01 -4.52142172e-02 1.07141040e-01 -1.40078571e-02 -8.85466039e-02 -1.18794091e-01 -7.30231851e-02 -9.08898860e-02 -2.78835446e-02 -6.10370897e-02 4.18258607e-02 1.43611580e-02 7.49231363e-03 1.63957953e-01 -1.56611521e-02 -1.09248675e-01 1.01165526e-01 4.25739773e-02 1.83575191e-02 6.36862963e-03 -2.94140838e-02 -1.95987411e-02 2.02960186e-02 6.87241729e-04 -2.30375260e-01 1.51912905e-02 7.11362809e-02 2.08870023e-01 1.75446644e-02 -4.42604767e-03 -5.06788353e-03 2.04621077e-01 -1.95875853e-01 -1.72360748e-01 -1.73957720e-02 -8.37897882e-03 -1.65462878e-03 1.25722792e-02 1.37007839e-04 -1.68983534e-04 6.79711485e-03 -1.44648226e-02 3.63876461e-03 -2.07673073e-01 -2.60594906e-03 -1.76881906e-02 -3.92624596e-03 -8.80213678e-02 7.83468559e-02 -1.84669599e-01 -1.31249176e-02 -1.08519822e-01 1.61450326e-01 -1.25358645e-02 2.91253207e-03 -1.37055144e-02 -1.83981702e-01 5.49540818e-02 3.94350551e-02 9.42709763e-03 3.93141713e-03 -1.93455676e-03 -1.04887439e-02 -1.70136824e-01 1.34786442e-01 1.33520528e-03 6.73047677e-02 -2.51960810e-02 -1.83643159e-02 -2.38663591e-02 -9.56164952e-03 1.23821422e-01 -1.83981210e-01 -7.34614283e-02 1.47869978e-02 -1.24555815e-03 1.88170504e-02 1.79180115e-01 -1.38415158e-01 -1.34440782e-02 8.72139540e-03 9.00803934e-05 -1.20596997e-01 1.74949542e-01 1.22550435e-01 1.76975306e-03 -4.84219640e-02 1.79638371e-01 2.04201452e-02 -8.45810845e-02 -1.38091147e-01 5.50523680e-03 -6.11853506e-03 1.44246578e-01 4.63235518e-03 -2.20670179e-02 4.47764955e-02 -7.67347068e-02 -1.72677889e-01 -9.93818231e-03 -1.95068177e-02 -3.08953077e-02 2.48416606e-02 1.87397897e-01 -7.11759040e-03 1.24182180e-01 2.51168152e-03 6.76617026e-04 -5.68376482e-02 6.28103549e-03 2.35578953e-03 8.71028677e-02 1.43695828e-02 2.28631049e-02 -1.33178215e-02] [-4.67422120e-02 -9.26758945e-02 -4.71491031e-02 -1.57661568e-02 1.40894263e-03 -5.10209464e-02 -4.86442856e-02 -4.82453108e-02 8.98405537e-03 4.68717981e-03 -1.63906693e-01 -6.68871158e-04 -7.24271452e-03 -1.71201855e-01 -4.99304160e-02 1.44933969e-01 -1.86968420e-03 -8.53924751e-02 -1.22431256e-01 -8.40673000e-02 -2.46916004e-02 -1.54249202e-02 -7.80279264e-02 3.13718468e-02 1.74691305e-02 7.95278139e-03 1.55593604e-01 1.82314788e-03 -1.40185729e-01 -3.75491790e-02 7.59088248e-02 -7.35892728e-02 5.96470851e-03 -2.26020850e-02 3.45881507e-02 1.75838135e-02 4.95115900e-03 -2.23847434e-01 7.44939130e-03 7.23616555e-02 2.13644415e-01 1.37325628e-02 -7.92634964e-04 -1.19390814e-02 2.12781399e-01 -2.08170533e-01 -1.64950907e-01 -5.23913419e-03 3.30964988e-03 1.13472715e-03 7.05530867e-03 -6.66345179e-04 -1.05418454e-04 7.71436095e-03 -1.56580135e-02 2.57898076e-03 -2.14243278e-01 2.53028958e-03 -1.70907509e-02 -1.85283460e-03 2.21310854e-02 1.20719135e-01 -1.84511155e-01 -5.05275978e-03 -1.13396354e-01 1.04010232e-01 -9.74129140e-03 -2.56495550e-03 -8.45544972e-03 -1.65070042e-01 1.00803990e-02 6.47111014e-02 5.22692804e-04 2.47865939e-03 -1.09993818e-03 -8.74906313e-03 -1.29234329e-01 1.18139751e-01 2.18959595e-03 9.76806581e-02 -2.73143016e-02 -7.28658109e-04 -1.95470657e-02 -3.87927936e-03 1.21452890e-01 -1.53075293e-01 -1.34148553e-01 1.18334200e-02 3.73385963e-03 8.00039545e-02 1.68298721e-01 -1.46169588e-01 -1.05658872e-02 8.48629698e-03 4.29606158e-03 -1.52705967e-01 1.63350761e-01 1.04060955e-01 6.46045571e-03 1.29383013e-01 1.93885699e-01 1.14778645e-01 -1.72170624e-01 -1.40021950e-01 4.87660849e-03 -8.91106017e-03 4.64458503e-02 1.70387980e-02 -1.36238439e-02 7.21699819e-02 -7.84049705e-02 -1.77237615e-01 -8.46450857e-05 -2.79258173e-02 -2.44958922e-02 -1.46945985e-02 1.65520340e-01 -8.99262552e-04 1.27634391e-01 4.57432354e-03 2.03569536e-03 -1.84117053e-02 1.54419225e-02 3.65739944e-03 9.92795229e-02 4.56375629e-02 3.29345814e-03 -9.85662546e-03] Cos Similarity tf.Tensor(0.9273526, shape=(), dtype=float32) (128,) (128,) [ 1.00894412e-02 -1.45073002e-02 3.75537910e-02 -1.27727970e-01 -9.72849037e-03 -4.32675332e-02 -1.70020044e-01 7.35041127e-02 -1.06339548e-02 -1.39906043e-02 4.80999723e-02 3.89591162e-03 -1.66679863e-02 -4.31539528e-02 1.57182254e-02 -1.96752235e-01 -1.05733266e-02 -1.49711415e-01 1.44994512e-01 1.31751820e-01 -1.77094489e-02 1.35332853e-01 -1.37486206e-02 1.73990980e-01 -1.00332005e-02 -3.34296306e-03 1.19072855e-01 -1.93619414e-03 -1.72509030e-01 -1.02303959e-01 -2.10292101e-01 -2.09738016e-02 -6.65411819e-03 -2.57662311e-02 1.88807502e-01 1.08879749e-02 -2.64335849e-05 -1.25094637e-01 -1.51714092e-04 -3.53643633e-02 -1.75847247e-01 1.09365303e-02 -5.89600019e-03 -2.48825084e-02 -2.61197947e-02 -9.69435424e-02 4.00065025e-03 -3.02754575e-04 -2.40644417e-03 2.27276399e-03 1.02062318e-02 1.03855310e-02 -5.53539209e-03 -1.87284511e-03 -1.29320016e-02 1.73671842e-02 -1.79864913e-01 1.52830966e-02 -5.72471926e-03 5.95363462e-03 -1.33144677e-01 4.80469130e-02 -9.75405425e-02 1.52628031e-03 -1.09249957e-01 -1.62282586e-01 -3.95712489e-03 1.74420569e-02 -2.93695950e-03 -6.74707144e-02 -9.71120968e-03 1.17038779e-01 7.59195676e-03 6.05826406e-03 -3.16920667e-03 2.14060396e-03 1.27986386e-01 -1.93992913e-01 4.39685333e-04 -4.44952808e-02 -4.08194633e-03 8.50497931e-03 -9.79233810e-05 -9.84649435e-02 -1.88005731e-01 -6.16180077e-02 1.87854730e-02 8.07459559e-03 -4.87514399e-03 -1.96818948e-01 -1.94857270e-02 -7.44698942e-02 2.32046489e-02 1.23618189e-02 1.09039200e-02 -2.02965558e-01 -2.23857183e-02 -1.03830859e-01 7.08763814e-03 1.01248480e-01 3.44484858e-02 -1.24447420e-01 1.75401300e-01 -1.99584365e-01 5.81450644e-04 -5.72267082e-03 -1.74299538e-01 3.70037444e-02 -6.84385141e-03 6.43905550e-02 -1.12674423e-01 -4.22978438e-02 1.89884880e-03 1.45244807e-01 -3.62131596e-02 -1.65788352e-01 -5.46916537e-02 3.13543691e-03 1.12625308e-01 -7.87191617e-04 -5.81782917e-03 -1.05286494e-01 2.01021601e-02 -4.29294491e-03 2.13551506e-01 4.55135070e-02 -3.81492227e-02 -3.88773880e-03] [ 1.70609914e-02 -2.31079701e-02 7.25361630e-02 -1.22670263e-01 -1.94954425e-02 -1.22330114e-01 -1.80767104e-01 6.39268905e-02 -4.25169943e-03 -2.27126367e-02 8.12705606e-02 8.48303083e-03 -2.33028922e-02 7.28092119e-02 6.62877969e-03 -1.95178360e-01 -1.27006220e-02 -1.55363500e-01 1.52403638e-01 -1.30346313e-01 -2.39647944e-02 1.72426879e-01 -6.59423023e-02 1.66195437e-01 -1.35838417e-02 -4.18532873e-03 8.33977833e-02 -1.52377121e-03 -1.75448850e-01 -4.45883051e-02 -1.99853376e-01 -4.26881090e-02 -6.22634729e-03 -3.35323364e-02 1.94395185e-01 -1.15611395e-02 1.73359309e-04 -1.32177740e-01 -5.99898910e-03 -3.67334224e-02 -1.75478458e-01 1.09315170e-02 -8.16630665e-03 -2.00424977e-02 2.58985069e-02 -8.37674439e-02 1.43898547e-01 -7.40209362e-03 -2.18991446e-03 1.25093968e-03 8.01925827e-03 9.72253457e-03 -7.95137789e-03 1.71154796e-04 -1.21234655e-02 1.63360089e-02 -1.83389962e-01 1.13137988e-02 -1.89271104e-02 3.94303631e-03 -1.25602245e-01 7.82140065e-03 -9.45182741e-02 -4.30147350e-03 -4.47645150e-02 -1.28800705e-01 -2.12470675e-03 2.35386826e-02 -1.03267664e-02 5.02135865e-02 8.75352398e-02 1.18383259e-01 1.03948684e-02 8.69895052e-03 -1.25427330e-02 3.59601248e-03 1.23803832e-01 -1.96410403e-01 4.37486498e-03 -3.03493552e-02 -8.05474259e-03 5.52866887e-03 2.85744155e-03 -5.87062165e-02 -1.95363760e-01 -1.26112074e-01 8.31234679e-02 3.44035681e-03 -1.09123252e-02 -1.81201190e-01 -8.79886672e-02 -3.40931974e-02 1.56322215e-02 8.48632213e-03 1.07153673e-02 -1.72046363e-01 -5.18094599e-02 -4.65803966e-02 -1.87964644e-03 1.07135244e-01 -2.63117179e-02 -1.12521388e-01 1.27971917e-01 -1.97925910e-01 -3.48839769e-03 2.88622943e-03 -1.79269254e-01 3.17186154e-02 -1.30745945e-02 8.49315450e-02 -2.25371704e-03 -1.19778864e-01 -7.12727336e-03 1.27479672e-01 4.34114411e-03 -1.69772670e-01 -3.03718373e-02 -1.10093819e-03 9.15279612e-02 -1.31275994e-03 -6.73032366e-03 -1.14905477e-01 1.36143416e-02 -4.81966976e-03 2.11962402e-01 4.01951484e-02 -2.56488309e-03 -7.76046235e-03] Cos Similarity tf.Tensor(0.89678, shape=(), dtype=float32) (128,) (128,) [-0.14220957 0.08553242 0.07981116 0.17014922 -0.01584262 0.0111834 -0.15528822 -0.1826536 0.00494462 -0.00211485 0.04869477 -0.01352018 0.01620168 -0.03835819 -0.10374425 -0.03512574 0.0080606 0.15876843 -0.11621764 0.0894685 0.06854931 -0.084411 0.08803507 -0.17252593 0.01319861 0.00540147 -0.08397828 -0.00769878 -0.01736309 0.15473785 -0.07294555 0.09154148 -0.00065662 -0.00836498 -0.13494812 0.06336223 -0.01943823 -0.03630028 0.00637995 -0.14983223 0.16037223 0.00137794 -0.00753528 0.02049986 -0.09608466 -0.10803404 0.04443571 0.01043181 0.01584582 0.00332324 0.01051999 0.0002785 -0.00833621 0.00485695 -0.0080057 -0.00638562 0.04561211 0.00325432 -0.00046838 -0.00749415 -0.11056198 -0.11400736 0.09919804 -0.02925001 -0.15252022 -0.13373652 -0.02368936 -0.07332072 -0.02719095 -0.0498911 -0.20796001 0.06679871 -0.00727274 0.01215858 -0.00171411 0.00069315 0.17236169 0.13452265 0.00197063 -0.25150704 -0.01444344 0.00279954 0.00465599 0.04884508 0.03654213 0.1768933 -0.16722764 -0.00615031 -0.00168168 0.08875572 0.05727367 0.09955209 -0.00330725 0.00486691 0.00255632 -0.23901054 -0.00706296 0.0273169 0.01863419 -0.21764623 -0.07756932 0.16093488 0.06842888 -0.04960983 0.00658553 -0.00722728 0.0809355 0.01583439 0.0054872 -0.02017524 0.0418372 0.13835505 0.00603359 -0.18831497 0.06855165 0.08071165 -0.09207398 0.00765275 0.14760889 -0.00932981 0.00400929 0.19330986 0.00557745 -0.01061304 0.03919487 0.04949543 0.04257343 -0.01585271] [-0.05237364 0.08346064 0.01170473 0.13004683 -0.02110399 0.07460963 -0.21594897 -0.21919711 0.01662303 -0.00636055 0.02959361 -0.00498138 0.0024802 -0.20749176 -0.11476948 -0.05836166 0.00435125 0.03107342 -0.03048195 0.04932021 -0.00412173 -0.08464522 0.05924048 -0.01577501 0.0134912 0.00660749 -0.13136582 -0.00893858 -0.18659697 0.14572746 -0.05904463 0.0788021 0.00921985 -0.00637152 0.03002059 0.0574506 -0.01504776 -0.17101146 0.00772486 -0.06964613 0.14613551 -0.00204093 0.00497685 0.02257882 -0.18129379 -0.12386814 0.14014436 0.01249375 0.0206513 -0.00714221 0.01135428 0.00065649 -0.00892888 0.00400078 -0.00810157 -0.00484241 -0.01359767 0.0013064 0.00808111 -0.00409676 -0.06111351 -0.11076 0.07562041 -0.03466464 -0.17760856 -0.13026637 -0.02383582 -0.10182521 -0.02404096 -0.08289771 -0.12153824 0.02721846 -0.00294755 0.01253583 -0.00176753 0.00438657 0.17511833 0.06144966 -0.0009007 -0.24584526 0.00424432 0.00231724 0.00411599 -0.07450823 -0.03103161 0.15915677 -0.2420551 -0.00205086 -0.00650819 0.08039685 0.04103584 -0.08752091 0.00751792 -0.00451202 -0.00041765 -0.20917122 -0.00202102 0.01896504 0.01198028 -0.23780195 -0.06037821 0.15599921 0.0877115 -0.03912758 0.0129615 -0.01142733 0.0707478 0.04591294 0.00365948 -0.03355784 0.05691737 0.11201592 0.00808655 -0.17362416 -0.01322101 0.08007987 -0.08883597 0.00076867 0.13894011 0.00048081 0.00979679 0.11800527 0.00964746 0.02238346 0.1393687 0.02692748 0.12376292 -0.01336867] Cos Similarity tf.Tensor(0.8346846, shape=(), dtype=float32) (128,) (128,) [-1.11563295e-01 1.22727431e-01 8.85268301e-03 1.55526742e-01 -2.98128556e-03 7.49226809e-02 6.83116987e-02 2.16280729e-01 7.97165278e-03 6.87488529e-04 -6.27200603e-02 -3.55979498e-03 -1.32152112e-02 -6.58875182e-02 -1.06491968e-01 -1.08561240e-01 -2.18151864e-02 -1.42183855e-01 8.98593143e-02 5.42728454e-02 -1.57261059e-01 -3.85271050e-02 1.50088705e-02 -1.53871447e-01 6.40718173e-03 8.07283632e-03 1.21859424e-01 -1.86415743e-02 7.51329511e-02 -1.86310764e-02 2.26199597e-01 1.47900179e-01 -8.41251854e-03 4.09204140e-03 -4.65183482e-02 1.15711838e-02 -4.17868141e-03 1.72480177e-02 1.07252812e-02 -1.07836887e-01 -1.35939702e-01 1.15721393e-02 -1.26056650e-04 5.10664051e-03 -1.37113094e-01 -7.59762526e-02 1.23622548e-02 -9.46301222e-03 -8.41688737e-03 3.96774802e-03 9.97349620e-03 3.41434614e-03 2.66000372e-03 1.79815933e-03 -2.33458565e-03 1.78633276e-02 1.11611649e-01 -9.93186422e-03 -6.74084853e-03 -1.59086995e-02 -2.34812483e-01 -5.75375296e-02 4.56198230e-02 -3.65748070e-02 2.08815169e-02 -2.59088762e-02 -1.17710494e-02 -1.68153405e-01 -1.25559000e-02 -1.85022101e-01 -3.48695330e-02 -2.05270708e-01 1.17732361e-02 -1.96774420e-03 -8.27607699e-04 -9.18279774e-03 -3.19224559e-02 -1.76472008e-01 2.11781450e-03 -2.00451091e-01 -8.37093592e-03 -9.16978344e-04 -1.41324112e-02 -2.00702131e-01 -1.75439715e-02 2.48708054e-02 -8.50265697e-02 9.90142394e-03 -1.85662061e-02 1.23081788e-01 -1.08382396e-01 -1.51319429e-01 -3.89699787e-02 1.14688445e-02 2.64753518e-03 -8.53235051e-02 7.19023810e-04 1.55899987e-01 -8.01945943e-03 2.09666472e-02 -1.13488518e-01 -5.64111657e-02 1.87068924e-01 4.15566843e-03 4.65727784e-03 -9.14342818e-05 3.49398926e-02 -2.10816339e-02 -1.82654448e-02 9.12997406e-03 2.29820143e-02 8.50425288e-02 -4.96640988e-03 -1.06694378e-01 1.22983560e-01 1.81714207e-01 1.06411558e-02 7.72279513e-04 -2.31132388e-01 -9.75217763e-03 6.89765159e-03 1.19442590e-01 1.15079544e-02 -1.40972575e-02 2.12376043e-01 3.43816094e-02 5.04640415e-02 -7.71661941e-03] [-0.1687707 0.15023549 0.07958206 0.14490472 -0.0011323 0.08154959 0.09854556 0.0969236 0.01309307 -0.00386672 -0.05934408 0.00496753 -0.00536955 0.02824052 0.03675371 -0.18667616 -0.0082866 -0.0870396 0.00752166 -0.0124943 -0.15183415 0.11975551 -0.11903571 -0.2005828 0.01218235 0.00914904 0.12572035 -0.02360417 0.18331578 -0.00778934 0.1959932 0.11428645 -0.00895147 -0.01121595 -0.15558618 0.01775919 0.00303867 -0.14895172 0.01314044 -0.05763592 -0.12070674 0.00632487 0.00234325 0.00736395 -0.15548864 -0.01124119 0.01322003 -0.0091901 -0.00635853 0.01261189 0.00520205 0.00695508 0.0065944 0.00138559 0.00662871 0.01178516 0.0859564 -0.00327773 -0.01219379 -0.00869154 -0.18995991 -0.02463093 0.0758715 -0.04420768 -0.13542797 0.00285237 -0.0051821 -0.11779669 0.00461868 -0.19588716 -0.00856667 -0.19318391 0.00965177 0.00882523 0.00422199 -0.0094759 0.00233896 -0.08479053 0.00175807 -0.15438682 -0.00863416 -0.00988991 -0.0241521 -0.20469588 -0.09517286 0.0631676 -0.04055889 0.01351154 -0.01207505 0.03847789 -0.16075668 -0.07034802 -0.0396663 0.00952887 -0.00265383 0.13757353 0.1661005 0.03071361 -0.00541665 0.02787627 -0.16461259 -0.0744842 0.19387998 -0.01244302 0.00828738 -0.00841166 0.05507977 -0.00766542 -0.00779647 0.08766204 0.07039019 0.1046022 -0.00559217 -0.04448128 0.12396023 0.15431657 -0.00859835 0.01143537 -0.19176528 0.00150858 0.00596392 -0.01721259 0.00774178 -0.03954484 0.22972478 0.02421618 0.03916871 -0.00315972] Cos Similarity tf.Tensor(0.80732673, shape=(), dtype=float32) (128,) (128,) [ 0.08555491 0.11221834 0.07871026 -0.19240023 0.0260558 -0.05883002 -0.03236463 0.17201276 -0.04406301 -0.00068282 0.07584263 0.02969867 0.01301415 -0.03389296 0.02875451 0.00749103 0.02234605 0.13390051 0.17276742 -0.09514614 -0.10218521 -0.08551392 -0.02288425 0.06246216 0.0315427 -0.00149748 -0.17654505 0.02004145 -0.1911584 0.08923841 0.06315355 0.20194492 -0.00023654 0.01638491 0.13287112 0.0339898 0.02997506 -0.0832198 -0.04483538 0.12722708 -0.01858915 0.03708471 0.00577835 0.00709043 0.14932103 0.01662368 -0.00953346 0.03334719 0.01956206 -0.03206384 0.00457247 0.01201537 0.02632729 0.01501476 0.01913296 0.01363387 0.17973149 0.00890096 0.00646645 0.03089805 0.14208141 -0.12957183 0.16722484 0.03403919 -0.1034749 -0.18006401 0.019359 -0.14123872 0.00986319 0.1690747 0.18417926 0.00632794 -0.00911386 0.02913545 0.009634 0.02609755 0.05896761 -0.11274222 -0.0162627 0.13523673 0.00742982 -0.00062205 0.01716635 -0.07401536 0.09644617 -0.0970763 0.16338165 0.01030896 0.00699806 0.18629159 0.00323094 0.10912694 0.02688301 0.03749842 0.02584736 -0.16192594 0.07143611 0.1086678 0.00601994 0.11220478 0.13754368 -0.1673119 0.00778669 -0.14315458 0.0109812 0.04306847 -0.11951876 0.0168799 0.02597922 -0.04825745 -0.1660703 0.03936791 0.01454421 -0.10516654 -0.04512373 -0.05404 -0.10002061 -0.00168925 0.14616065 0.02158841 0.02613577 0.12830476 -0.01799231 0.00640289 0.12140042 0.03373937 -0.00636453 0.00175004] [ 1.10051006e-01 -3.54133248e-02 4.46151495e-02 -1.83354512e-01 9.19594616e-03 9.26564708e-02 1.40556678e-01 1.73252195e-01 -2.79509649e-02 -1.91281503e-03 -1.82238668e-01 2.33307891e-02 1.59422366e-03 1.11324582e-02 2.44622231e-02 1.05807059e-01 1.56644490e-02 6.37603179e-02 1.37283849e-02 7.44306371e-02 1.47556201e-01 -1.77543595e-01 5.05109131e-02 -9.39035192e-02 -1.16093559e-02 4.38302103e-03 -1.90778926e-01 -5.27021615e-03 -1.91916198e-01 -1.46903777e-02 2.52383631e-02 5.03701270e-02 1.22838933e-03 1.24684004e-02 8.79924297e-02 -5.48933400e-04 -1.78767350e-02 -1.79802533e-02 -2.76275296e-02 1.33016035e-01 -1.31245688e-01 1.20443255e-02 -2.69232201e-03 -3.86037049e-03 1.42913489e-02 1.11027427e-01 -8.44967067e-02 9.48655978e-03 1.44583955e-02 -8.62662122e-03 -1.24622751e-02 7.82640465e-03 1.27001721e-02 1.00240828e-02 9.58614610e-03 1.85727458e-02 1.49737060e-01 2.43717935e-02 1.31097960e-03 -6.84720988e-04 -6.86073452e-02 -1.07459784e-01 1.92512691e-01 7.37557560e-03 -8.97973627e-02 -8.24406669e-02 -2.49068323e-03 -5.48836626e-02 4.96658916e-03 2.01809362e-01 1.79493546e-01 1.22876398e-01 8.12220480e-03 1.50033124e-02 -2.21898686e-03 2.61824075e-02 4.38051634e-02 3.51962224e-02 2.04063463e-03 1.66939139e-01 -8.74570385e-03 -2.56939419e-03 9.51120816e-03 1.77573293e-01 1.44384531e-02 1.22151665e-01 3.32444930e-03 -4.95626242e-04 -2.20141350e-03 9.67999548e-02 1.65265888e-01 1.75153539e-01 2.05051880e-02 3.40794735e-02 9.21279658e-03 -1.71904817e-01 -1.84403777e-01 -5.71922846e-02 3.63545632e-03 -8.61210600e-02 1.91002578e-01 -7.01493323e-02 4.00705189e-02 -7.67036458e-04 2.13937927e-03 -1.52346622e-02 -1.21317424e-01 -2.62931874e-03 -1.89676937e-02 4.62575033e-02 -1.77992135e-01 -1.03124090e-01 1.18620764e-03 5.69078187e-03 5.56035265e-02 -1.58161521e-01 -1.00970909e-01 1.49048213e-02 1.75631240e-01 -1.64516532e-04 1.92159750e-02 -1.45028740e-01 -2.50980491e-03 -1.03331625e-03 1.23180702e-01 -1.18638724e-01 -4.16588634e-02 1.41642746e-02] Cos Similarity tf.Tensor(0.48231587, shape=(), dtype=float32) (128,) (128,) [ 1.43423527e-01 9.34540704e-02 1.77212041e-02 1.56165183e-01 -1.25073949e-02 -1.87315214e-02 1.59641027e-01 1.71369269e-01 2.34085741e-03 -5.88513166e-03 -1.64922401e-01 -6.62654638e-03 7.84541853e-03 1.00107238e-01 3.90630439e-02 -1.63762033e-01 -5.09798573e-03 5.38413897e-02 1.49789467e-01 2.27441061e-02 -1.25999302e-01 4.19910140e-02 -1.09434025e-02 1.08051613e-01 -2.40028389e-02 8.90386727e-05 4.06708159e-02 9.44127038e-04 4.39748801e-02 1.99204445e-01 -3.31648849e-02 6.24681823e-02 9.48338583e-03 -5.26514696e-03 -3.05352379e-02 -2.96320897e-02 -2.31117965e-03 1.95996895e-01 -8.78932513e-03 -3.40551399e-02 1.37875274e-01 2.97642243e-03 -2.37065484e-03 -1.30880894e-02 1.13965072e-01 -9.20106769e-02 -1.30568549e-01 9.03060194e-03 8.87907296e-03 1.01125129e-02 -3.84852290e-04 -5.96717291e-04 -2.25648377e-02 2.86376104e-04 -6.89976709e-03 -8.95003614e-05 -1.52691767e-01 -1.48565241e-03 4.98545635e-03 -1.45226996e-02 6.08151853e-02 1.46400928e-01 -1.58314710e-03 5.82075492e-03 7.38138929e-02 5.33736050e-02 -1.56990543e-03 1.49819314e-01 -4.98922309e-03 1.20485753e-01 9.40362439e-02 1.98911488e-01 -7.73480220e-04 1.36300856e-02 -1.21802492e-02 1.34662911e-02 1.31881952e-01 1.24541610e-01 8.60549696e-03 1.91179574e-01 -1.24464314e-02 -3.35509144e-03 3.85227660e-03 1.88768491e-01 -1.39795795e-01 1.74539268e-01 1.75586626e-01 4.15039714e-03 -5.58247650e-03 3.00881788e-02 1.28041789e-01 -1.74040079e-01 4.10090620e-03 1.13407290e-02 2.53531942e-03 5.71655557e-02 -4.02046591e-02 -2.01060995e-01 -5.52978367e-03 1.30802199e-01 1.79949149e-01 2.11024377e-02 1.83699816e-01 1.95761785e-01 -5.69726049e-04 1.28241237e-02 -1.04539014e-01 -1.96396722e-03 1.38376188e-03 2.52423584e-02 2.00774744e-01 -8.31465051e-02 7.19562266e-03 -2.28647832e-02 2.93105189e-02 3.78456675e-02 -5.68158552e-02 -1.33796008e-02 -4.94767651e-02 -1.13680866e-02 3.01867514e-03 2.42732768e-03 -1.21076673e-03 -1.55673828e-02 2.36277711e-02 -2.93923393e-02 -8.23027715e-02 -1.21077439e-02] [-0.08865353 -0.16599065 0.01817705 0.18271707 0.007532 0.08314625 0.04798049 0.10952538 -0.00584424 -0.00457753 -0.08092871 0.00454868 0.00682919 0.16005623 0.1082204 -0.11362076 0.00377143 -0.04717949 0.0264198 -0.06285667 0.14737438 0.02786102 -0.1308832 0.13995436 -0.00387874 -0.0059443 0.03814073 -0.0148245 -0.06305867 0.15727435 0.0935052 0.17411806 -0.01850514 -0.02812976 -0.14233635 -0.02468889 -0.00621394 0.19887844 -0.00041208 -0.070248 0.152395 -0.01089876 -0.00065417 -0.01793203 0.21502756 -0.08994706 -0.01506752 -0.01028712 0.00508908 -0.00410125 0.00191461 0.00694475 -0.02842779 -0.0003015 -0.00673563 0.01363717 0.09981728 -0.00958706 0.0093955 -0.01989652 -0.05120302 0.09153263 -0.0907266 0.00604152 0.18888646 0.22397871 -0.01029669 0.18921153 0.00953367 -0.03907758 0.17117278 0.10298724 -0.00712995 0.01130158 -0.00836241 0.00794656 0.20974404 0.13264003 0.01265434 0.1534446 -0.01528255 0.0023292 -0.00056236 0.07853933 -0.17862634 0.0244654 0.19471748 0.01010826 -0.00526451 0.00816543 0.06619123 0.06937886 -0.02045225 0.00689535 0.01763877 0.06620571 -0.12736589 0.00946642 -0.01444597 -0.11218248 0.05237404 -0.05209819 0.0223206 0.17374854 -0.00117335 0.0044505 -0.06530012 0.00814345 -0.01025901 0.11587332 0.07582472 0.0145207 -0.00672993 -0.10447333 -0.01943091 -0.17085408 0.19744326 0.00391825 0.05007299 0.0003303 -0.01170592 -0.04660653 -0.01817332 -0.0262597 0.16145553 -0.02210095 -0.00349096 0.00360294] Cos Similarity tf.Tensor(0.4977638, shape=(), dtype=float32) (128,) (128,) [ 1.46402270e-01 -7.09587615e-03 7.02816620e-02 -5.50324433e-02 1.21837184e-04 1.23406629e-04 -3.93576138e-02 8.27022344e-02 -2.59541301e-03 -7.10211881e-03 -1.59040153e-01 -1.46241663e-02 1.00378990e-02 9.35657099e-02 4.03762273e-02 -1.05730012e-01 3.15108383e-03 1.20509274e-01 1.35001272e-01 9.34595708e-03 4.12908429e-03 -1.71048507e-01 1.72154576e-01 7.33060390e-02 -3.79192946e-03 -9.13386233e-03 1.52498037e-01 1.20417215e-03 6.16126098e-02 9.65016633e-02 -2.07925081e-01 1.63578868e-01 3.83210299e-03 9.10287537e-03 1.46266073e-01 5.33006107e-03 -9.18370765e-03 -3.95167656e-02 -4.13164264e-03 6.07079156e-02 -1.12239122e-01 -1.34135308e-02 -3.33973696e-03 -6.70649949e-03 1.56197608e-01 1.78726882e-01 4.05528210e-02 1.36176581e-02 6.01717690e-03 1.38088856e-02 5.17296256e-04 2.73093325e-03 -1.90512987e-03 4.63094050e-03 -4.16728668e-04 5.47135295e-03 -5.65783679e-02 -1.01910683e-03 7.63941044e-03 -5.75806852e-03 1.88032538e-01 -1.39798552e-01 -7.09209070e-02 -1.44046498e-03 -1.18135348e-01 -7.27826776e-03 -2.55265227e-03 -7.46320486e-02 -1.36628188e-03 1.53050020e-01 -1.11810394e-01 7.80771896e-02 -7.41626415e-03 4.02903091e-03 -3.69116780e-03 1.06344316e-02 1.64480895e-01 -1.36414869e-02 -8.52253143e-05 1.01708494e-01 -5.72967203e-03 -7.97082111e-03 9.46276914e-03 7.02529252e-02 -2.01290786e-01 1.02281682e-01 -8.71080682e-02 9.23899282e-03 -9.67164338e-03 1.44749179e-01 -3.08202170e-02 1.62833169e-01 8.16368905e-04 4.34737420e-03 8.55770893e-03 1.63008302e-01 -1.02711119e-01 -1.29518703e-01 -3.38110700e-03 -3.11638359e-02 1.97984472e-01 -9.43947434e-02 1.60148323e-01 1.54361144e-01 -7.12896092e-03 7.53136817e-03 1.92786738e-01 4.22971230e-03 -1.39163632e-03 -2.05717936e-01 -1.64873786e-02 6.36271248e-03 -1.78580685e-03 -5.91084138e-02 -4.77886992e-03 1.67033345e-01 1.73310623e-01 -2.14087591e-02 -1.06413700e-01 -1.43481577e-02 6.95321150e-03 6.54632226e-02 6.41360506e-03 -1.83667131e-02 -1.46506622e-01 6.63004965e-02 -4.22195345e-02 -3.17535480e-04] [ 2.55043298e-01 2.77563948e-02 -4.04688045e-02 -1.06900848e-01 -1.45149119e-02 -1.28521286e-02 -9.58741084e-02 8.34011734e-02 1.10088745e-02 -7.02325720e-03 3.45488377e-02 -6.65710447e-03 -2.62129330e-03 -1.77906588e-01 8.98251832e-02 -7.40003362e-02 -1.27594303e-02 -2.71447271e-01 -1.60145357e-01 -8.09536502e-02 -5.46335056e-02 3.75900976e-02 2.53726065e-01 2.05415078e-02 -1.71828959e-02 9.27216001e-03 1.21613920e-01 -1.00814244e-02 1.95895061e-01 -1.49187166e-02 8.75268318e-03 4.07730043e-02 1.44824749e-02 9.61741991e-03 7.52093345e-02 -1.54004227e-02 -1.05385976e-02 5.87422512e-02 -1.12331165e-02 1.06185623e-01 -1.16980672e-01 -1.26082543e-02 7.69030675e-03 1.11010708e-02 -7.71657079e-02 5.89428134e-02 1.64744873e-02 1.23529918e-02 7.98599795e-03 1.09760731e-03 7.60163181e-03 5.09261573e-03 -6.21289248e-03 5.07348822e-03 -7.59883411e-03 1.20760994e-02 5.06979004e-02 -2.46316623e-02 -3.08140693e-03 -5.06575312e-03 5.33271395e-02 1.00183599e-01 2.85433568e-02 -3.42893489e-02 -1.30860046e-01 2.42200747e-01 -1.45074790e-02 -5.02819903e-02 -1.11327972e-02 -1.63423549e-02 -1.91513181e-01 -2.55395949e-01 5.07831806e-03 6.08771667e-03 -1.34250186e-02 4.13903873e-03 -5.43306805e-02 8.79706666e-02 2.83414643e-04 -3.03606093e-01 -9.45837144e-03 -6.08585775e-02 -6.66851504e-03 5.12180291e-02 -1.68183595e-02 3.21542807e-02 -4.99759428e-02 9.10437852e-03 -4.75251349e-03 2.62836013e-02 3.41258347e-02 1.29215447e-02 -5.04191360e-03 7.81647954e-03 -1.93303805e-02 -1.32721275e-01 3.12681217e-03 -9.13088843e-02 -9.42956191e-03 -2.07052752e-01 -1.35358557e-01 -2.86625009e-02 -3.48814167e-02 -4.80149947e-02 -3.41723487e-02 -1.43902162e-02 -1.16006419e-01 3.06324400e-02 -1.66837480e-02 -1.65592879e-01 -5.43905087e-02 -8.16683564e-03 -5.78206917e-03 1.21554788e-02 -8.86508748e-02 1.20338455e-01 1.82847098e-01 -2.93360297e-02 -2.28045061e-02 -2.68390048e-02 1.11665949e-02 1.82608128e-01 -1.46160682e-03 5.64261712e-03 -1.50296777e-01 -3.84542271e-02 1.12965859e-01 -1.76260266e-02] Cos Similarity tf.Tensor(0.126046, shape=(), dtype=float32) (128,) (128,) [ 0.07480383 0.04773557 0.10682295 -0.04198003 -0.00393328 0.10025393 -0.05562617 0.15142652 -0.00305629 0.01337701 -0.23314294 -0.01948983 0.04696181 -0.11802483 0.03296321 -0.12880634 0.06796083 0.03396442 -0.10395092 -0.00339537 0.05245598 0.05041197 0.13193266 0.13515855 0.02975228 0.02134049 -0.08259763 0.01441405 -0.07459246 -0.1566609 -0.23706505 -0.1314729 0.04741551 0.05417329 -0.00983185 0.01377153 0.07246769 0.05925855 -0.03724457 0.03657613 0.06948102 -0.00696832 0.01329605 0.04058602 0.02187788 0.07352836 -0.03941345 0.03640851 0.05072061 -0.0072057 0.03039843 0.00656658 0.07412599 0.05097155 0.10786717 0.06464954 0.03740436 -0.00502365 0.06636383 0.03679589 0.17577845 -0.06438836 0.21054378 -0.00703482 -0.08106454 0.12957634 0.03160113 0.13231725 0.03652351 0.10924979 -0.09388324 0.05651445 0.00116719 0.01936482 0.01915452 0.09467988 0.14904219 0.09252886 -0.00350031 0.09057445 0.03188679 -0.02858084 0.01870202 -0.04813959 -0.0977353 0.2285332 0.00636231 0.02749732 0.02795903 -0.06364695 -0.04004826 0.04441725 0.04734545 0.0258169 0.00174459 0.10923503 -0.20452744 -0.22186714 0.02460445 0.06185177 0.00507694 -0.21442424 0.19150113 0.02630797 0.03546042 0.00186509 0.10221518 0.03836292 0.05577138 -0.0464464 0.12224802 -0.12056009 0.03064741 0.06429345 -0.02904496 0.17978144 -0.0207917 -0.02557326 -0.15595734 0.09152865 0.01133711 -0.02683562 0.08791659 0.00998112 0.13249525 0.08226363 0.00569002 0.00814183] [-8.79226923e-02 -9.87917259e-02 4.44681495e-02 -1.30252555e-01 2.15502572e-03 4.19627503e-02 -1.17239028e-01 -8.08949172e-02 -4.26774658e-03 4.97376639e-03 -1.57288224e-01 -1.37370434e-02 2.34209206e-02 1.81501523e-01 -1.41295819e-02 1.08851276e-01 2.30558496e-02 1.03645578e-01 -1.82722837e-01 6.00002743e-02 -1.07418619e-01 2.17724338e-01 -1.03060074e-01 -4.97931801e-03 1.19143520e-02 2.68792757e-03 -6.44914955e-02 -1.04345335e-02 -3.46832722e-02 1.38734192e-01 -2.80898772e-02 1.60462093e-02 -7.84419570e-03 2.50411164e-02 2.25004420e-01 1.33359469e-02 3.77601199e-03 1.30468365e-02 -1.40851429e-02 1.09490924e-01 7.82408491e-02 -6.49648439e-03 8.72955751e-03 5.25859231e-03 1.59120962e-01 -9.02559906e-02 -1.49212644e-01 1.89256817e-02 1.79964397e-02 -1.65007897e-02 -3.29997228e-03 5.58244716e-03 -6.80752285e-03 1.99795477e-02 2.50620451e-02 1.04014967e-02 -8.20298567e-02 1.53370583e-02 5.64737478e-03 2.55666394e-03 1.39056519e-01 -1.66502967e-02 -6.32893890e-02 2.49544345e-02 4.84565608e-02 -1.47147179e-01 1.11876000e-02 9.63361561e-02 -2.17279568e-02 1.62239015e-01 6.11975342e-02 1.22564405e-01 -4.44595097e-03 1.42499125e-02 1.83902178e-02 1.48191638e-02 -5.21141710e-03 -7.55570978e-02 -4.84797591e-03 -1.86232761e-01 -2.45645586e-02 -1.67438688e-04 1.45010254e-03 4.96899486e-02 -1.35917991e-01 1.98610976e-01 1.91642605e-02 2.54212669e-03 5.31552266e-03 8.60924572e-02 -7.48092979e-02 -2.74400245e-02 8.55822489e-03 8.57886765e-03 1.80815067e-02 1.61980838e-01 -9.15253535e-02 2.18338221e-01 1.03379618e-02 6.47986308e-02 2.17794329e-01 1.50136098e-01 -1.81024507e-01 2.14021817e-01 -2.22766455e-02 3.73256058e-02 2.24575438e-02 1.10397236e-02 1.05298248e-04 2.09674146e-02 3.22899781e-02 1.09705828e-01 2.57186536e-02 -1.24998696e-01 -5.13545237e-02 -2.02947780e-01 -1.53735594e-03 -6.37292257e-03 -2.30101258e-01 -1.51952682e-02 -6.06904645e-03 2.76866741e-02 2.33885664e-02 -2.35015582e-02 8.99554603e-03 6.31047115e-02 3.96603867e-02 9.16991010e-03] Cos Similarity tf.Tensor(-0.0040473416, shape=(), dtype=float32) (128,) (128,) [-0.10481016 -0.1684377 0.08133174 -0.03917132 -0.00656004 0.04598996 0.1143668 0.17658052 0.00893009 -0.00556607 -0.2295283 0.00239568 -0.01450045 0.04168729 0.00231781 -0.11198448 0.02180729 -0.10243376 -0.00897126 0.03252554 -0.09150775 -0.05911247 0.1115884 -0.0101809 0.00082448 -0.00554478 0.00436733 0.00343918 0.16370836 -0.04357732 -0.19886823 -0.17013639 -0.00367455 0.01029074 -0.05118339 0.01176424 -0.00083528 0.13181531 0.00640139 0.1338884 -0.20957388 -0.00284979 -0.00105121 -0.00171648 -0.06975737 0.20095588 0.00064785 0.01048729 0.01102984 0.00698122 0.01425577 0.01171468 0.01101632 0.00672498 0.0005475 0.01731489 -0.09938932 0.01421207 -0.00476003 -0.01244715 0.16294646 0.16044404 -0.04479894 -0.00443927 -0.20847732 -0.17930116 0.00232306 0.10449038 0.00396345 0.08489242 -0.0669999 -0.0496943 -0.00061508 0.00273494 0.00244865 0.01072891 0.15924375 -0.13202596 0.00218312 -0.0154816 -0.01872358 0.00219973 0.00345732 0.08114797 -0.10076767 -0.08953615 -0.16021152 0.01013412 -0.00461937 -0.0208113 0.15424563 -0.16328321 -0.00394081 0.01388574 0.02107474 -0.08221658 -0.10949721 0.02131338 0.01129462 0.13456585 0.2078208 -0.1207636 0.01940997 -0.09407294 -0.00751198 0.01850422 -0.15175264 -0.00892486 -0.00638262 0.17084436 -0.05544588 -0.05732355 0.00833705 0.11534774 -0.04924128 -0.1589647 0.15915297 0.00028049 -0.05107466 0.00953652 0.00666865 0.1499652 0.01678683 -0.01326537 0.0630831 -0.00603063 -0.07706993 0.00348434] [-1.68297850e-02 -9.01343956e-05 3.60200589e-04 -4.76478450e-02 -3.59391724e-03 -2.26968639e-02 1.16267465e-01 2.10189119e-01 -7.28487328e-04 -1.23185094e-03 -5.13187610e-02 1.59514211e-02 2.29154108e-03 1.51598096e-01 -7.42388666e-02 -5.73277138e-02 -1.17685301e-02 1.64845601e-01 -7.33321160e-02 1.40993267e-01 4.97983135e-02 1.45799488e-01 5.39900968e-03 3.80408578e-02 -3.54984635e-03 1.06063839e-02 6.62079081e-02 -2.13975813e-02 1.78331286e-01 -1.57613099e-01 5.13032191e-02 1.35190979e-01 -9.90034547e-03 2.70896871e-03 -8.50703940e-02 -1.23029100e-02 -2.34387480e-02 1.19880877e-01 -7.11053284e-03 -1.07629582e-01 -9.17436482e-05 3.18503450e-03 2.09647953e-03 -1.90243348e-02 1.18200473e-01 2.27254733e-01 1.10815451e-01 -1.10808847e-04 -6.47897040e-03 1.08395815e-02 1.67029072e-02 9.54457931e-03 1.46171758e-02 4.56518913e-03 2.30709021e-03 1.55765386e-02 -4.01898250e-02 4.52214619e-03 1.16768084e-03 -9.43267997e-03 2.22605690e-02 7.72795379e-02 1.38835730e-02 -1.83752477e-02 -1.10306270e-01 -1.33445501e-01 3.77103861e-04 9.50398743e-02 -3.43986624e-03 9.82748270e-02 -1.51104927e-01 1.25340521e-01 1.17170420e-02 5.70326345e-03 7.85135664e-03 -4.84586786e-03 1.41215295e-01 -4.56740856e-02 -8.59304424e-03 -6.92503825e-02 -1.70437694e-02 -1.05124572e-02 -4.95514926e-03 -6.78598508e-02 -2.22097248e-01 1.68843955e-01 -1.49025574e-01 3.50841973e-03 -2.03135191e-03 2.10617274e-01 1.38402551e-01 4.88522137e-03 8.22868256e-04 2.23076511e-02 -4.21417272e-03 1.00829750e-01 1.43405065e-01 -7.00726509e-02 -2.55736103e-03 -1.23272553e-01 2.34538153e-01 -6.93023205e-02 -6.11758195e-02 1.33766010e-02 8.85070418e-04 -1.43528683e-02 -2.24993512e-01 -3.19754053e-03 -3.36294547e-02 1.70506164e-01 9.10383090e-02 -2.18071148e-01 2.74014287e-03 9.84658394e-03 5.38271628e-02 -2.29734629e-01 1.90575588e-02 -6.78564515e-03 9.87216756e-02 -1.33807464e-02 1.00560505e-02 -8.76677781e-02 1.57251079e-02 -5.06929681e-02 -9.69397947e-02 -1.08268922e-02 3.11687868e-02 -9.08904418e-04] Cos Similarity tf.Tensor(0.35573602, shape=(), dtype=float32) (128,) (128,) [ 0.18704729 -0.05614948 0.05197892 -0.13299479 0.00819688 0.02595513 0.12114163 0.16081914 0.00533604 -0.00457468 0.08877649 -0.00368263 0.01156289 0.1286404 0.0916597 0.1935253 -0.00383181 -0.01412685 0.10715147 0.15282162 -0.08027616 0.13074018 -0.11187784 0.05558143 -0.0173874 -0.00747174 -0.11647666 0.01430451 0.03927276 -0.10532041 0.09017255 0.08991497 0.01560757 -0.00236036 -0.11724252 -0.00140369 -0.02165514 0.11276118 -0.00827661 0.03084128 0.16590112 -0.00397634 -0.00384807 -0.00968338 -0.03016363 -0.03980533 -0.13306822 0.01596043 0.00596498 0.01593817 0.00462646 0.0033487 0.00580251 0.00028872 0.00986611 0.01941151 0.05253363 0.00105957 0.01792178 -0.02800783 0.19584095 -0.0553944 0.08012509 -0.00369838 -0.07730053 0.08109818 0.00363124 -0.02734708 0.00880392 -0.12203814 -0.04051656 0.08922671 0.00272112 0.0206666 0.0026847 0.01670864 -0.01457427 0.04210683 -0.01022772 0.20805213 0.00353796 -0.01178256 -0.00146884 -0.11976022 0.03285032 -0.10264929 -0.04234855 0.01594414 -0.00120674 0.15808412 -0.15452594 0.18187125 -0.00495105 0.0156202 -0.01594098 -0.1679447 0.15915051 -0.17221506 -0.00122994 -0.08988353 0.08579548 -0.18928991 0.20166844 0.1583546 -0.00316239 0.00908235 0.11054043 0.01516802 -0.01167408 0.15068409 0.04871373 -0.00864341 -0.00710191 -0.1607163 0.01866513 0.06012404 0.19754778 -0.01294055 -0.15825476 -0.00111382 -0.01376249 0.09062355 -0.00329961 -0.0267186 0.18262269 0.07602283 -0.09320334 -0.00045859] [ 8.0442399e-02 -7.7301063e-02 3.3986501e-02 -1.1840874e-01 8.7005906e-03 -5.2556954e-02 -4.5556020e-02 -1.4030878e-01 1.2553170e-02 -3.1450386e-03 2.1408261e-03 -2.0004159e-02 1.5634771e-02 3.7529219e-02 1.4477448e-01 1.6259286e-01 -5.9978953e-03 1.6952780e-01 9.2310116e-02 -4.6860904e-02 2.0002890e-01 1.5665932e-01 1.3066459e-01 3.9037574e-02 -9.2885252e-03 -6.2658042e-03 3.2014091e-02 -7.4855709e-03 -6.9532417e-02 1.1588645e-01 -2.1805680e-01 9.9795021e-02 2.9725528e-03 -7.6940339e-03 -1.2434742e-01 -2.3728395e-03 2.8312958e-03 4.8352627e-04 9.5880131e-04 -5.3955961e-02 5.7809439e-02 -6.4506317e-03 -1.4852971e-04 8.9137498e-03 -1.8055676e-01 7.6506816e-02 1.1180666e-01 -7.3689879e-03 5.0518801e-03 5.6613614e-03 5.3723110e-03 4.4466826e-04 -6.8509947e-03 4.1150441e-04 -1.1382026e-02 -1.1450023e-02 1.8820408e-01 3.5160147e-03 5.4362626e-04 -2.4647084e-03 -4.5607500e-03 1.6606836e-01 -3.7712038e-02 5.7981759e-03 6.8032674e-02 1.2645413e-01 4.9756299e-04 3.8318846e-02 -1.0006279e-02 -2.1135971e-01 1.4412403e-01 2.7051222e-02 8.2837315e-03 -6.9116132e-04 7.7172350e-03 1.5660765e-02 6.3852951e-02 -1.4692888e-01 -5.9039597e-03 1.7984517e-01 -8.9730937e-03 1.0411842e-02 8.0205919e-03 -3.8431976e-02 4.1557368e-02 -1.2076406e-01 6.5568186e-02 1.8083683e-03 3.9066197e-03 -1.0823693e-01 -2.2008069e-02 1.6823201e-01 -2.8127825e-02 1.0805009e-02 -9.4782440e-03 1.2697287e-01 1.2640442e-01 2.3545910e-01 -5.7076779e-03 -9.7111380e-03 -6.0941450e-02 -1.0474318e-01 7.2992504e-02 -1.2665728e-01 -1.1968921e-02 1.3952353e-04 1.9645217e-01 3.3532247e-02 -1.2796047e-02 2.1971993e-01 -9.3705896e-03 1.8596530e-01 -7.8725377e-03 -9.2898514e-03 -6.0733531e-02 -3.0106435e-02 2.2703549e-02 5.9217317e-03 -2.1525180e-01 4.7516199e-03 -6.5526501e-03 -7.0413306e-02 3.6668552e-03 -1.8148953e-02 2.0854230e-01 5.3090949e-02 -8.1072375e-03 3.5323740e-03] Cos Similarity tf.Tensor(0.2128497, shape=(), dtype=float32) (128,) (128,) [-0.04434628 0.16528511 -0.02383197 -0.20696226 0.02611064 0.07055169 -0.03328608 -0.10599637 0.0426072 0.00236479 -0.00305467 0.0048788 0.01283328 -0.02132511 0.01685235 -0.22458757 0.00845479 -0.03122653 0.01756446 -0.03368404 -0.13664487 -0.03241783 0.00627632 0.01866798 -0.00219194 0.01385242 -0.1783948 0.01409371 -0.14265583 0.13847835 0.1024767 -0.12834078 0.00316842 -0.05379179 0.09778795 0.08187255 0.02843837 -0.20345107 0.00906341 0.06647304 -0.0603637 -0.00969058 0.00521237 0.0055051 -0.10158163 0.05353755 -0.12848704 -0.0646214 0.00281182 0.0341754 0.01016982 0.0119933 0.03647023 0.01722417 0.03079537 0.0129814 0.12700431 -0.01894546 0.00207874 0.01930933 -0.13898672 0.2053557 0.194928 -0.00528796 -0.04065476 0.14357337 -0.02983122 -0.11347228 0.01016697 0.08979272 -0.0755439 -0.17726119 0.00712282 0.02786501 -0.00735234 0.01085562 0.16234152 0.01149321 0.00065474 0.19739062 0.02157667 -0.00118631 0.02810548 0.19594166 -0.0178817 -0.11002662 0.13650994 0.01081477 0.00424471 -0.15910979 0.13522792 0.03013331 0.01058757 0.02317538 -0.02097668 -0.05026985 -0.05481791 0.21168967 0.00822105 -0.06253252 -0.06864357 -0.15614337 -0.17422998 0.08364675 0.03050447 -0.08338834 0.11181837 0.01520852 0.03165961 0.02331596 0.11232778 -0.05779683 0.00603951 -0.13452144 -0.03089673 -0.02808706 0.16155887 0.01178901 -0.1403196 0.0279533 0.0040023 -0.10918552 -0.01838312 0.00731794 0.00182775 -0.04653301 -0.07951378 0.01384141] [-1.33312926e-01 -1.62179559e-01 5.20811304e-02 -1.90747604e-01 2.93244259e-03 1.09508336e-02 1.24891855e-01 -1.37881503e-01 3.26758660e-02 9.58528928e-03 4.91267769e-03 1.67719796e-02 2.22970396e-02 1.84241980e-02 -3.42676379e-02 -1.73526645e-01 7.30087995e-05 4.07534763e-02 1.44348145e-01 2.76888572e-02 -9.41392872e-03 7.93821812e-02 -1.47551581e-01 7.16527775e-02 -4.51248400e-02 1.55498460e-02 -1.79939523e-01 -6.01898646e-03 -1.32055655e-01 -5.20776697e-02 5.92110641e-02 -2.52393018e-02 5.50249312e-03 -6.20852876e-03 1.89590156e-01 1.13432132e-01 9.68057290e-03 -1.84632331e-01 4.98933764e-03 1.03642985e-01 -1.53282583e-01 1.65194762e-03 5.68260788e-04 -1.83570050e-02 -5.54319993e-02 -5.11746556e-02 -1.55936494e-01 -1.54713243e-02 8.34516250e-03 1.75230131e-02 -3.92449461e-03 5.05613582e-03 2.11018175e-02 9.65839252e-03 2.51432508e-02 -6.62672380e-03 1.88165046e-02 -7.83372950e-03 7.59300357e-03 2.29403488e-02 -6.53287768e-03 1.75369292e-01 1.56725824e-01 -1.26453377e-02 -1.55875102e-01 -4.91701253e-02 1.32807254e-04 -2.55643092e-02 8.51682667e-03 -2.07486954e-02 -1.27575919e-01 -1.49013788e-01 1.29096082e-03 1.46920905e-02 -1.91078708e-02 1.07641006e-02 1.07459538e-01 4.92566191e-02 6.85966248e-03 1.67376950e-01 5.60751557e-03 -2.04518437e-03 1.01073366e-02 1.95359096e-01 7.52663531e-04 7.36588761e-02 9.61216092e-02 1.74854808e-02 3.13332537e-03 -1.89877674e-01 1.73067495e-01 2.00440139e-01 1.76266953e-02 1.50110787e-02 7.52660492e-03 -1.93325698e-01 -1.76438048e-01 1.09197266e-01 1.20500624e-02 1.29134551e-01 9.19109881e-02 -1.67007357e-01 7.10722432e-02 -1.58640087e-01 9.25288070e-03 -6.10933714e-02 1.10895738e-01 1.28960079e-02 1.37451580e-02 7.40615278e-02 8.29946771e-02 2.39315778e-02 9.92674101e-03 -1.40662044e-02 -9.02571995e-03 3.60113345e-02 6.89477101e-02 8.44427384e-03 -1.75645858e-01 2.10233647e-02 -5.89515083e-03 1.14634551e-01 -1.74635071e-02 -1.16088464e-04 -9.81778204e-02 -5.92753030e-02 -8.96436442e-03 4.09608521e-03] Cos Similarity tf.Tensor(0.57760227, shape=(), dtype=float32) (128,) (128,) [-5.23637012e-02 4.89608794e-02 -6.08894080e-02 6.53406382e-02 -1.30440881e-02 -2.07958091e-02 1.45941749e-01 -9.08361748e-02 -4.49981028e-03 6.84893283e-04 4.23474200e-02 2.23279931e-03 2.54363623e-02 -4.26100083e-02 3.32192853e-02 3.39208283e-02 8.13572854e-03 1.40744880e-01 1.51996076e-01 -1.02010660e-01 -1.18905261e-01 -1.55083507e-01 9.97294709e-02 -6.33001253e-02 -1.54133490e-03 -6.26853388e-03 1.83855325e-01 -5.09218825e-03 1.10503539e-01 1.36105135e-01 -1.80663839e-01 1.02081418e-01 2.76647341e-02 -1.44537492e-02 6.31040335e-02 1.55747123e-02 1.05454680e-02 -1.74996153e-01 -1.07283834e-02 3.37236710e-02 1.80801272e-01 7.38227507e-04 2.00609490e-03 -3.88458278e-03 -3.36545147e-02 -1.50799036e-01 -2.90462933e-02 9.16003529e-03 1.39997359e-02 8.80342349e-03 3.81564838e-03 2.64682202e-03 1.12116904e-04 6.43207878e-03 3.87679646e-03 2.06229743e-03 -1.21922284e-01 1.66480187e-02 1.29865492e-02 3.90410679e-03 3.36523578e-02 -1.78686291e-01 1.65831223e-01 1.16550541e-02 4.08415273e-02 -4.77381647e-02 -8.00783932e-03 2.60419324e-02 3.42238531e-03 1.25167698e-01 1.96795836e-02 1.71197698e-01 -1.41892340e-02 1.35583738e-02 5.77773247e-03 2.19589956e-02 5.38271405e-02 1.88033655e-02 -3.10573238e-03 1.34846866e-01 3.45997559e-03 -5.92480879e-03 5.62509429e-03 -1.08257243e-02 -5.90974279e-02 -1.44359514e-01 -1.03864908e-01 3.47806606e-03 -1.11752991e-02 1.58726051e-01 -1.35797128e-01 1.82141185e-01 6.67988835e-03 4.86977212e-03 9.86195635e-03 6.57129213e-02 1.62906960e-01 -1.26291990e-01 1.25140408e-02 1.29644543e-01 7.13455677e-02 -1.78224325e-01 1.15401246e-01 1.83023989e-01 5.10889292e-03 -1.76691916e-02 1.47233918e-01 2.59650759e-02 1.93578172e-02 -1.83681592e-01 1.50987104e-01 1.04667187e-01 9.05772951e-03 -1.40406862e-01 5.64134531e-02 1.85426503e-01 -8.02073032e-02 -1.10470727e-02 1.81894153e-01 -2.14993907e-03 -9.45393089e-03 9.19321775e-02 1.41892787e-02 -1.80187412e-02 -1.78782493e-01 -5.91989048e-02 3.83598804e-02 -9.01655108e-03] [ 0.18080948 -0.10968274 -0.05490942 0.19013731 0.01168296 -0.06941576 0.00887307 0.16518521 -0.01654756 0.0066331 0.0516879 0.00932312 -0.00940943 -0.07851649 0.00838508 0.1455089 -0.00939949 -0.11092801 -0.06552799 -0.07905234 -0.18602425 -0.21737811 -0.03901196 0.00239599 -0.02080512 0.00805983 0.2071127 -0.02047366 0.16925822 -0.08273572 -0.03712457 0.20247248 0.02073641 0.00343999 0.03400436 0.01220824 -0.00814826 0.10714318 0.00957022 0.0771988 0.1711244 0.01385559 0.00640618 -0.00373515 -0.01334729 -0.16685417 0.15322551 0.01607151 0.00462173 0.03069181 0.01905968 0.01489778 0.02582833 0.00998362 0.00533538 -0.01448961 0.00412387 -0.00458827 0.00073497 -0.00403174 0.04770124 -0.04260982 0.11638474 -0.00626988 0.10600039 0.09032021 -0.01118489 0.04171349 -0.00316666 -0.06611723 -0.03349387 -0.04053124 0.01197504 -0.004158 -0.006348 0.00179042 0.05050196 0.02535534 -0.00468499 0.19953972 -0.01868962 -0.05352892 -0.00393683 0.0387645 0.1618953 -0.0611539 0.08203874 0.02441807 0.00477667 -0.00927917 -0.13461496 0.20938571 -0.00625306 0.02475181 0.00364663 0.19091322 0.09276157 0.08343534 -0.00609235 0.16834491 -0.13137047 -0.10512812 -0.00930082 0.21505724 0.00170178 -0.00216027 -0.20939852 -0.012132 -0.01157244 -0.05101494 -0.05120585 -0.05863297 0.00472713 -0.07009654 0.07748215 0.1869912 -0.029358 -0.02462984 0.14829466 -0.01379621 0.00103448 -0.02287141 0.01186378 -0.02001431 -0.18022753 0.00056823 0.12950632 -0.01423995] Cos Similarity tf.Tensor(0.3992849, shape=(), dtype=float32) (128,) (128,) [-0.18492481 -0.08897416 -0.07189154 0.07304657 -0.02122102 0.0818496 0.11208735 -0.04315991 0.00505559 -0.0080661 0.1673811 -0.01411738 -0.00983752 -0.02992705 -0.07251599 -0.05029553 -0.0180541 -0.02746412 -0.09519198 0.10116641 0.20923585 0.05061971 0.00069465 0.15479115 -0.0128132 0.00325094 0.20628928 -0.04178727 -0.0905269 -0.18374154 -0.06199263 0.08220308 0.00686507 -0.01915091 -0.06834155 -0.03206312 -0.02080123 0.09762162 -0.00333151 -0.11537378 -0.11490558 0.00725064 -0.00945714 -0.00553167 -0.05433542 -0.15540953 -0.15564431 -0.00534549 0.00237295 0.00414853 0.00645577 0.00023141 -0.01627764 0.00558332 -0.00425 -0.00038861 -0.16775973 0.00734277 0.00103091 -0.01530988 0.06013109 -0.17637834 -0.04286306 -0.00227277 0.19100939 0.17992307 -0.01412754 -0.0292369 -0.02093394 -0.19119342 -0.0590771 0.05423814 -0.00379744 0.00818807 -0.00908217 0.00717461 0.17045137 0.0308693 0.0019438 0.00234193 -0.01989541 -0.01736782 -0.01076569 0.06454715 -0.04940099 0.19305836 0.01978897 0.01067176 -0.0057961 -0.13635848 0.21872465 0.16433981 -0.01318138 0.00233926 -0.00535494 -0.11281031 0.00285863 0.03567896 -0.01955398 -0.14824487 0.05633518 0.0348508 0.13349296 0.1312799 -0.01471978 -0.00328211 0.11040418 -0.02140187 -0.01973212 0.13430338 0.12675397 -0.02807469 0.00512796 0.09498761 0.03563157 0.18373287 -0.19917566 -0.00393989 0.02374469 -0.05395916 0.00023246 -0.12891169 0.00230668 -0.03692982 -0.14261487 0.04470727 0.08499452 -0.01720719] [ 4.17679325e-02 8.85660276e-02 -1.13334566e-01 8.24800804e-02 -1.97191127e-02 1.14086270e-01 -1.91855873e-03 5.71804913e-03 1.42495241e-02 -2.32985206e-02 2.19285358e-02 -2.18934324e-02 -7.05966493e-03 -1.41552016e-01 2.11326722e-02 1.77499235e-01 -7.29171000e-03 2.22874004e-02 6.27223626e-02 -8.78691897e-02 -1.43644944e-01 1.38314236e-02 1.27457812e-01 -1.43580488e-03 6.11004943e-04 2.88590463e-03 -8.76342058e-02 -7.18987314e-03 2.24046588e-01 -1.39020488e-01 7.33128116e-02 -1.65629666e-02 3.80412268e-04 -2.00340487e-02 5.16841598e-02 -2.39779148e-03 -1.72140040e-02 -1.22208618e-01 -3.52050760e-03 1.40853047e-01 -1.64902702e-01 -9.54232458e-03 1.72355663e-04 -1.40747260e-02 -6.16922975e-02 -9.79113057e-02 2.16284201e-01 8.89921002e-03 6.48876373e-03 -3.14954610e-04 1.14160543e-02 1.82185427e-03 -9.82414279e-03 3.84485675e-03 -6.18000096e-03 8.32663104e-03 2.13095903e-01 -8.45463760e-03 1.25964463e-03 -1.88969392e-02 -6.18439924e-04 4.98530641e-03 -1.77766941e-02 -2.08091810e-02 -1.61015876e-02 1.17405439e-02 -9.76165012e-03 8.38453397e-02 -2.45019794e-02 -2.41560247e-02 -1.00986823e-01 1.84408226e-03 4.61652922e-03 3.89752234e-03 -1.11225760e-02 8.71550292e-03 1.07213191e-03 -2.22012445e-01 -3.58871301e-03 -4.85713892e-02 -2.59565713e-05 -9.44880117e-03 -3.99267022e-03 -1.88343152e-01 -2.76705157e-02 1.18850127e-01 -1.26149893e-01 1.26159964e-02 -7.78162014e-03 -1.59637958e-01 1.24716714e-01 -1.82940856e-01 7.11787632e-03 3.31274932e-03 -2.00425973e-03 -4.79045324e-02 1.01231076e-02 2.27249172e-02 -8.82124901e-03 -2.74111450e-01 -2.46715292e-01 1.55068174e-01 1.32283866e-01 -2.38045111e-01 -1.98644791e-02 -6.19465346e-03 -2.41162241e-01 6.72416156e-03 -2.14062966e-02 -1.67103508e-03 2.05588952e-01 6.22594580e-02 -1.41714979e-02 2.65852306e-02 3.72520126e-02 -2.46717650e-02 1.34210065e-01 -1.43817756e-02 1.47654274e-02 -5.63095994e-02 7.21930573e-03 -5.60489595e-02 2.10243068e-03 2.59981249e-02 -1.20329835e-01 -1.10715115e-02 3.13618220e-02 -9.03493445e-03] Cos Similarity tf.Tensor(-0.064705834, shape=(), dtype=float32) (128,) (128,) [ 2.17904195e-01 1.50704876e-01 6.67665824e-02 -1.19045205e-01 -1.25791756e-02 1.67379946e-01 1.33702442e-01 1.76827777e-02 4.78397682e-03 -2.51191808e-03 8.94380882e-02 -3.63388332e-03 1.18497415e-02 3.61141972e-02 2.67032292e-02 -1.99859560e-01 7.26297684e-03 -1.18558174e-02 1.15471065e-01 -5.18080927e-02 3.39483395e-02 -3.24384347e-02 -5.91570251e-02 4.47453372e-02 1.30530959e-03 8.53977818e-03 1.19712941e-01 4.62097349e-03 -1.55036613e-01 -1.37747288e-01 1.78909257e-01 -9.18170661e-02 3.67163750e-03 7.46384962e-03 1.65142894e-01 9.94159002e-03 -1.15914373e-02 1.60270318e-01 -9.68130492e-03 8.96583647e-02 6.12483025e-02 8.70466605e-03 1.44688133e-03 5.93399908e-03 1.98156729e-01 -8.55651870e-02 2.36865710e-02 1.65014435e-02 8.29055626e-03 1.05663324e-02 1.90380751e-03 2.64624506e-03 2.07428995e-04 2.59680394e-03 2.50988663e-03 1.74806416e-02 1.58542559e-01 -6.17414061e-03 1.21732685e-03 -4.11586184e-03 -9.78207961e-02 1.46124661e-01 1.46648511e-01 -7.67847477e-03 -5.19574471e-02 2.27762293e-02 -9.59389191e-03 1.36705950e-01 -1.38855283e-03 -1.01022691e-01 -8.87942985e-02 -1.32094815e-01 -8.41514766e-03 1.63239446e-02 -9.56628844e-03 1.44195780e-02 5.62717253e-03 -2.90714204e-02 1.74122257e-03 -8.16603005e-02 2.22305302e-03 -1.03119272e-03 -1.23024409e-04 2.06568524e-01 -1.78718135e-01 7.27484226e-02 -1.86953485e-01 1.11939479e-02 -1.23119960e-03 1.22993827e-01 -7.98090771e-02 -2.12266162e-01 2.28919601e-03 1.55009292e-02 7.45239574e-03 2.42018439e-02 -4.20948081e-02 -1.51567459e-01 1.97899202e-03 -1.85610458e-01 2.12291062e-01 1.52633592e-01 6.58390075e-02 7.14339986e-02 -4.94277710e-03 -1.56464130e-02 -9.52204242e-02 -9.71286651e-03 4.71178070e-03 1.06040820e-01 1.80952400e-02 -2.04902023e-01 1.39866583e-02 -1.19175419e-01 -5.57027645e-02 1.43288612e-01 7.43885618e-03 -2.95442156e-03 -8.57792348e-02 -2.91203540e-02 3.91588874e-05 1.44522754e-03 -1.31806564e-02 -7.20406510e-03 7.00339600e-02 4.51882891e-02 1.91313773e-02 -9.52943752e-04] [ 1.88259512e-01 1.02783307e-01 1.08122587e-01 -1.50742039e-01 9.45526082e-03 -1.11690611e-01 9.44008902e-02 2.82218233e-02 2.41875239e-02 1.40287979e-02 -1.31721839e-01 3.97771634e-02 6.63076043e-02 9.73182470e-02 -6.60893396e-02 -1.53580934e-01 4.32394445e-02 -1.76210571e-02 1.62955076e-01 2.45530568e-02 -4.20254618e-02 8.31656158e-03 -6.03263415e-02 -6.34360015e-02 3.56612243e-02 3.68010774e-02 9.45477933e-03 3.05335019e-02 1.44882008e-01 -3.50063890e-02 -5.00581264e-02 2.40239501e-02 -4.00436670e-02 5.26057333e-02 -3.68732251e-02 6.09331764e-02 4.07210737e-02 -5.88787794e-02 -6.66070655e-02 1.13630183e-01 1.42260835e-01 -1.25380687e-03 2.39001145e-03 1.16386113e-03 3.06585152e-02 4.44368906e-02 -6.04052693e-02 7.23019019e-02 3.18175368e-02 6.94162846e-02 5.61779831e-03 9.32480581e-03 5.47512323e-02 1.78338196e-02 7.03061000e-02 5.01790717e-02 1.78774700e-01 -3.16055901e-02 4.95114774e-02 3.45240682e-02 -1.20412193e-01 4.30033952e-02 1.24497823e-01 2.46956702e-02 -1.85296968e-01 1.16093263e-01 9.04586352e-03 1.50765941e-01 6.29364774e-02 -1.01981953e-01 8.29753429e-02 -1.76418498e-01 1.83436042e-03 7.55782649e-02 3.67801666e-04 6.08823895e-02 1.06554493e-01 -1.09026849e-01 -1.24970134e-02 1.20977648e-01 1.77450664e-02 -3.89393722e-03 2.18244120e-02 7.30436966e-02 -1.89067483e-01 6.87568709e-02 1.19451851e-01 1.78953651e-02 1.35828750e-02 -9.46372226e-02 7.61918798e-02 -8.22497979e-02 3.85192074e-02 4.21123058e-02 2.26858668e-02 1.24996588e-01 -1.24266855e-01 -1.74792320e-01 1.43608414e-02 -1.44577399e-01 3.14235128e-02 1.17251836e-01 1.00069091e-01 4.46406752e-02 1.07816430e-02 3.62742157e-03 1.70089662e-01 1.08528929e-02 6.14680275e-02 -1.95147231e-01 -9.43239704e-02 -1.65362358e-01 5.07263169e-02 -1.08399346e-01 -4.38832939e-02 1.78632453e-01 1.57384455e-01 -5.49106160e-03 1.04729064e-01 9.81664285e-03 -1.61285792e-02 1.71161681e-01 -4.50983681e-02 -7.61446718e-05 -1.66647896e-01 2.58136261e-02 9.83667374e-03 1.45606669e-02] Cos Similarity tf.Tensor(0.36321175, shape=(), dtype=float32) (128,) (128,) [ 0.0045973 -0.08889233 0.05947172 -0.02222922 0.01254314 -0.01764198 -0.15075949 0.09761961 -0.01730426 0.0046728 -0.17238204 0.03112502 0.00965517 0.03859423 0.11633857 -0.12006781 0.03077612 0.08106872 0.16352603 0.10152756 -0.1233203 -0.11957899 0.1062505 -0.04967868 0.04472987 -0.01296513 0.12455324 0.0097772 0.07485214 0.08875776 -0.17907806 0.1522597 -0.0020402 0.03809055 0.03893406 0.01787531 0.04932272 -0.07768045 -0.02698488 0.09639642 0.02286757 -0.02330715 0.0078159 -0.00275095 -0.11419922 0.12502396 -0.1067728 0.01668666 0.01184796 0.03704522 0.0040412 0.01493404 0.02739131 0.01198213 0.03285261 0.01649712 -0.07306774 0.01500191 0.01729453 0.00687044 0.14819434 -0.15465938 0.17474164 0.03233585 -0.12942027 -0.08517905 0.00651667 0.13380113 0.02594098 -0.15557668 0.14115131 -0.0155251 -0.01028781 0.02065362 0.0240279 0.01624613 0.09821989 0.10680281 -0.01508314 -0.04155824 0.00486048 -0.06449192 0.01618301 -0.12406602 -0.16717039 0.14753959 0.13378046 0.00846385 0.01652366 0.1148038 0.09654831 0.1421096 0.00854949 0.02038995 0.0115122 0.16230564 -0.11217046 -0.13410002 0.01989965 0.16839926 0.1730153 -0.09947492 0.03640648 -0.02310118 0.0123477 0.03663373 0.1653423 -0.00022597 0.02990103 -0.16059859 -0.15539935 0.04775941 0.03031622 -0.13355209 0.04578127 0.12675661 0.14394316 0.00637963 0.15711072 0.05011698 0.0407167 -0.07143495 -0.04009939 -0.0060911 -0.14235951 0.04336492 -0.05057602 0.00589264] [ 1.82464235e-02 1.00374147e-01 -7.44823962e-02 1.04544468e-01 5.75925573e-04 -3.36475037e-02 9.30441469e-02 7.54380226e-02 -2.95885629e-03 -6.48908503e-03 -1.92533031e-01 -2.71597039e-02 -3.07711452e-04 1.84240371e-01 6.48424029e-02 -4.53470163e-02 -1.20933708e-02 7.34706968e-02 1.70516118e-01 -9.94330179e-03 1.03999279e-01 -5.80707602e-02 1.96477965e-01 9.53338761e-03 4.27498203e-03 -2.61683017e-03 1.58505619e-01 -1.93435214e-02 9.83335972e-02 2.07931995e-01 -2.22002774e-01 1.51804864e-01 -1.39780054e-02 -1.58924256e-02 7.57083744e-02 -9.94649064e-03 2.58037262e-03 -1.57477275e-01 -3.27235181e-03 -9.24114212e-02 2.53142025e-02 -2.16362951e-03 -2.77158525e-03 -2.40542181e-03 -8.52426514e-02 1.03928685e-01 1.61776207e-02 -9.93208028e-03 -1.54541479e-03 1.01556620e-02 2.77301483e-03 7.61248963e-03 -2.85018627e-02 1.15207559e-03 -1.43772848e-02 4.48531983e-03 -7.54376352e-02 -6.84568705e-03 -5.26957819e-03 -1.34743778e-02 3.66389826e-02 -1.30382776e-01 1.59222260e-01 -4.12724772e-03 -9.12637785e-02 -1.25429139e-01 -1.47923026e-02 1.15720563e-01 -5.69174904e-03 -4.39085588e-02 -4.41728644e-02 -3.97407822e-02 -5.46491472e-04 3.16813448e-03 8.51683598e-03 2.28520809e-03 1.29737899e-01 1.48308828e-01 2.00180081e-03 -3.99602465e-02 -2.10528225e-02 1.75208431e-02 3.04052327e-03 -1.54833809e-01 -2.08212659e-01 8.35947394e-02 1.80682734e-01 1.31860794e-03 -1.10068535e-02 2.25825608e-02 1.21742114e-01 1.67523548e-01 -1.94731038e-02 1.61486235e-03 1.13615322e-04 7.73602426e-02 -6.90398812e-02 -1.97299924e-02 -1.40793819e-03 1.33782208e-01 -4.24136035e-03 1.67663902e-01 7.37605318e-02 -1.90010983e-02 -2.13852115e-02 -7.06911460e-03 1.78801298e-01 7.04712188e-03 -1.39919268e-02 -1.40768602e-01 2.90347915e-02 -9.89501253e-02 -1.18530670e-03 -2.11601719e-01 2.12819204e-02 -8.65721609e-03 2.24357143e-01 -1.73169537e-03 1.90381974e-01 -4.71953396e-03 2.50156340e-03 1.48259014e-01 -6.07342180e-03 -4.41513509e-02 -9.58432034e-02 4.64189723e-02 5.36658689e-02 -8.53715185e-03] Cos Similarity tf.Tensor(0.6340468, shape=(), dtype=float32) (128,) (128,) [-1.01182893e-01 1.84370220e-01 6.28320351e-02 -1.21215291e-01 -1.68231931e-02 -1.13981918e-01 -1.70481950e-01 5.93273416e-02 -7.73459300e-03 -1.68086670e-03 2.09540904e-01 -1.39449351e-02 1.10365162e-02 1.94246217e-03 1.23716161e-01 4.23559360e-02 1.29857822e-03 1.89694330e-01 -3.92113291e-02 -1.89402297e-01 -1.31981552e-03 9.34804454e-02 5.76795526e-02 1.01042382e-01 1.85567606e-02 1.05174011e-04 -1.63553104e-01 1.59537867e-02 -2.11932078e-01 6.65041804e-02 3.77986208e-02 1.63055778e-01 3.36855426e-02 -1.56760961e-02 -1.94735944e-01 6.08330220e-03 1.06503963e-02 -1.21630996e-01 -1.32511174e-02 1.55935675e-01 1.85755804e-01 2.13167481e-02 5.33923088e-03 -2.74796430e-02 1.38387978e-01 5.53709939e-02 8.66646394e-02 1.75562203e-02 2.40102410e-02 2.52300617e-03 1.98387750e-03 -3.10270279e-03 1.83850788e-02 1.28729632e-02 4.12916439e-03 1.17672123e-02 -1.17645144e-01 2.23261677e-02 7.75871053e-03 9.26749408e-03 -9.96275023e-02 4.55991477e-02 -3.68854962e-02 -1.28083862e-03 1.20230034e-01 -1.09733865e-01 4.89952858e-04 7.41804065e-03 1.42887412e-02 1.26095876e-01 -1.93377182e-01 1.47189945e-01 -9.66075901e-03 1.68788303e-02 -1.18911518e-02 3.50505225e-02 2.09566429e-02 -6.06634049e-03 -3.21669912e-04 -1.14099786e-01 4.73851163e-04 1.03011087e-03 9.07418970e-03 1.01479441e-02 -1.05129100e-01 5.85388914e-02 2.98741963e-02 2.02959739e-02 6.49817113e-04 1.34969264e-01 -8.61017630e-02 1.09778851e-01 4.04052343e-03 1.16563290e-02 1.15777701e-02 1.73971012e-01 -1.13352448e-01 -2.03032583e-01 -8.13934207e-03 2.75170859e-02 1.28511816e-01 7.29446411e-02 1.15029298e-01 1.70320839e-01 1.16368541e-02 -1.01198293e-02 1.27427921e-01 -2.61798361e-03 1.50814839e-02 8.92631933e-02 3.85375805e-02 -1.24172665e-01 1.92359313e-02 1.42453192e-02 2.78125796e-02 -1.82533175e-01 -2.01089635e-01 -1.19274436e-02 1.04891054e-01 2.60567367e-02 -3.42536299e-03 5.24215586e-02 3.53382677e-02 -1.47420755e-02 5.39150462e-02 -9.59130470e-03 -1.96067430e-03 -2.88022845e-03] [ 5.03354408e-02 1.73698068e-01 5.93393184e-02 -3.39716934e-02 -1.66793016e-03 -2.22403120e-04 -2.50799581e-02 9.54132155e-02 -2.39103064e-02 -1.05535975e-02 -1.65533110e-01 2.51287501e-02 2.17660479e-02 -5.57510816e-02 9.53087658e-02 -7.86337703e-02 1.25927189e-02 4.72310670e-02 8.15567821e-02 -1.55740470e-01 5.94476275e-02 1.90208748e-01 -1.11785404e-01 1.78965867e-01 2.46888008e-02 2.20451877e-03 -1.48507327e-01 1.38159553e-02 -7.22719654e-02 -1.36719272e-01 1.72892436e-01 1.05753668e-01 -7.01571256e-03 2.11510956e-02 1.70952439e-01 1.34567833e-02 1.56619633e-03 -6.49872869e-02 -2.28050910e-02 1.32716268e-01 -2.01059561e-02 1.01074958e-02 2.14849506e-03 -3.23227644e-02 1.64181560e-01 7.42248520e-02 -9.51876268e-02 1.07389293e-03 2.95521095e-02 -1.03481086e-02 5.08284662e-03 6.24304777e-03 1.21046444e-02 1.25183351e-02 2.43437178e-02 8.20716191e-03 1.50050163e-01 9.93928965e-03 1.37164360e-02 1.97566450e-02 1.06318407e-01 -1.69296339e-01 -7.16585815e-02 1.95424743e-02 1.10828772e-01 3.96558680e-02 1.28076337e-02 7.26280734e-02 -1.30123796e-03 6.74175620e-02 -1.33069202e-01 9.84694809e-02 3.10171442e-03 3.64738703e-02 5.20887319e-03 2.37623435e-02 9.04030651e-02 6.82605654e-02 -9.57620982e-03 1.32759705e-01 1.41416574e-02 -4.35359863e-04 7.45248608e-03 -1.65930435e-01 -2.98376847e-02 -1.45860702e-01 6.47961423e-02 9.29770712e-03 1.82278745e-03 -1.28136873e-01 -1.58610374e-01 2.27705445e-02 1.98088903e-02 9.52805043e-04 6.74993545e-03 1.60708353e-01 6.94545358e-02 -2.01548651e-01 1.54873321e-03 -1.91319752e-02 1.69961721e-01 1.80165425e-01 1.94659740e-01 -5.76347299e-02 -3.73697188e-03 -1.37100406e-02 1.54761955e-01 1.14868274e-02 -1.60298590e-03 9.15161446e-02 -2.53490414e-02 1.70447826e-01 2.17217095e-02 -7.78239667e-02 4.33137603e-02 -1.69905663e-01 -1.52663276e-01 -7.00933917e-04 -1.67047620e-01 2.85517070e-02 -3.40593569e-02 -6.52550012e-02 3.80199142e-02 -7.22288480e-03 1.42859191e-01 1.07736181e-04 -1.39424875e-02 -5.27589116e-03] Cos Similarity tf.Tensor(0.32287994, shape=(), dtype=float32) (128,) (128,) [-7.92047605e-02 1.23731941e-01 1.27713263e-01 -8.85373652e-02 2.86504999e-02 8.14504325e-02 1.35753185e-01 -7.83220157e-02 9.77240596e-03 6.28397986e-03 -1.04323432e-01 1.02009689e-02 1.34445177e-02 -1.75117970e-01 -3.30504104e-02 4.70749510e-04 6.71109324e-03 1.68069467e-01 -1.09372614e-03 1.14197738e-01 -5.60594490e-03 1.14036545e-01 9.82113108e-02 -1.67223930e-01 4.75907251e-02 2.32155202e-03 1.19554222e-01 1.68612152e-02 -7.83950910e-02 -8.90192538e-02 -2.05031976e-01 -6.54441565e-02 -3.45106572e-02 -5.52315870e-03 -1.71427980e-01 1.40755801e-02 4.59251851e-02 -1.69967636e-01 -5.03019542e-02 1.20766826e-01 1.98982194e-01 1.80231780e-02 -1.72469718e-05 2.18330119e-02 -1.18699647e-01 -1.67306021e-01 7.96017274e-02 3.84384096e-02 3.56650017e-02 5.63530736e-02 2.47999094e-02 6.81684399e-03 5.60287498e-02 2.65968293e-02 9.32072327e-02 6.73597902e-02 9.52681229e-02 4.26490679e-02 5.59461527e-02 2.83155572e-02 -1.76819921e-01 2.17822716e-01 1.09773465e-01 7.47420359e-03 -1.33726746e-01 -1.36677235e-01 -9.48656816e-03 1.53866354e-02 4.73696180e-02 9.55011696e-03 4.80331033e-02 9.09256861e-02 6.76641380e-03 4.11896296e-02 9.86473076e-03 4.14100997e-02 1.96831420e-01 2.86952704e-02 1.25034992e-02 1.59196313e-02 6.47322536e-02 -2.91918684e-03 1.61406212e-02 -3.01305000e-02 -1.76952422e-01 1.48690835e-01 8.81105140e-02 4.83266339e-02 1.73806585e-02 -2.38415692e-02 3.62787209e-02 -3.86334285e-02 3.80201936e-02 2.57319361e-02 -4.19740193e-02 1.43959969e-01 3.21860192e-03 -1.53042614e-01 2.92200278e-02 1.17060699e-01 1.01743713e-01 -1.19963877e-01 -1.89495496e-02 3.74132209e-02 4.32291441e-02 6.77588433e-02 1.55767038e-01 5.17900400e-02 7.28112087e-02 4.70389239e-02 5.66814840e-02 -2.50329375e-02 4.34350148e-02 -7.23797604e-02 -3.84800322e-02 1.59249872e-01 -1.75032899e-01 -1.41209401e-02 -1.02248281e-01 3.77334990e-02 2.32644901e-02 -1.07480966e-01 6.00342974e-02 -2.44986229e-02 -1.22854307e-01 6.74733073e-02 2.32123770e-02 5.26447687e-03] [-2.28875577e-02 2.02366784e-01 1.07023299e-01 -8.70240256e-02 4.61990908e-02 -2.49380525e-03 8.02296400e-02 5.25724236e-03 2.57218406e-02 1.07819336e-02 -1.26626119e-01 3.45238997e-03 2.92625166e-02 -1.77162156e-01 -6.68756291e-02 4.19662111e-02 2.59741452e-02 1.70067936e-01 7.82982409e-02 5.31908154e-05 -4.30167541e-02 4.28103097e-02 1.37111014e-02 -1.21355332e-01 5.44458590e-02 2.36887415e-03 4.26418893e-02 2.10339371e-02 1.60550460e-01 -7.79136643e-03 -1.45611003e-01 -1.55073747e-01 -2.55851820e-02 2.88940538e-02 -1.34883791e-01 -2.24816315e-02 6.48341030e-02 3.82959656e-02 -6.20053038e-02 1.35005146e-01 1.83533445e-01 1.11708306e-02 9.52204037e-03 5.85818850e-02 -3.31698023e-02 -1.31303042e-01 -9.98554528e-02 5.64810075e-02 4.59376872e-02 5.84562607e-02 2.62947120e-02 4.76040132e-03 6.22459985e-02 3.34078334e-02 1.02550805e-01 5.04475310e-02 8.87026936e-02 3.95569392e-02 5.59583083e-02 4.81677353e-02 -1.90309495e-01 1.10750400e-01 1.03425898e-01 -8.49625655e-03 -1.01900011e-01 8.49608034e-02 -6.13649562e-03 2.76052635e-02 5.79568334e-02 8.37364793e-02 4.46309298e-02 8.23507980e-02 5.29013900e-03 8.81131832e-03 1.03457933e-02 7.09711313e-02 1.98130772e-01 3.76306400e-02 -3.71847046e-03 -1.78811237e-01 7.23980442e-02 -1.30769648e-02 1.93846729e-02 9.87349153e-02 -9.91780758e-02 2.06102297e-01 1.25967324e-01 4.14073989e-02 2.67395228e-02 -1.21424653e-01 5.28321825e-02 9.87862702e-03 3.56040150e-02 1.23937801e-02 -6.08918397e-03 1.95922896e-01 7.47179464e-02 -2.20046878e-01 2.48031579e-02 5.75231463e-02 1.89787775e-01 7.30880499e-02 -1.50500238e-01 1.04896829e-01 4.18410972e-02 -1.65020314e-03 -2.43593864e-02 2.91745998e-02 7.20892102e-02 -1.79994270e-01 -1.28484309e-01 -7.67025584e-03 4.93923947e-02 2.59136185e-02 -1.98329687e-02 1.85607702e-01 3.26599600e-03 -2.07721512e-03 7.56686628e-02 5.80610745e-02 1.00897597e-02 4.32430580e-02 9.13973376e-02 -1.26911644e-02 -1.22282304e-01 8.74377787e-02 -3.03853676e-03 -1.44816600e-02] Cos Similarity tf.Tensor(0.65198076, shape=(), dtype=float32) (128,) (128,) [-4.11385186e-02 -9.81088057e-02 -7.30340406e-02 -1.51459649e-01 -2.70805396e-02 7.52640367e-02 -1.57444686e-01 7.04220906e-02 2.08209315e-03 2.27733701e-03 7.20507130e-02 -1.63764376e-02 -6.46995986e-03 -1.55251563e-01 -8.62271432e-03 5.14162332e-02 -8.75659660e-03 7.44065940e-02 1.38221681e-01 1.22229449e-01 1.86558470e-01 9.29817781e-02 -2.20688447e-01 -1.66872535e-02 -2.00088900e-02 1.21714594e-02 -1.57016829e-01 -1.61321613e-03 8.68754238e-02 -1.74535364e-01 -1.10677280e-01 -2.14293227e-02 7.03880051e-03 -1.13669978e-02 1.71948180e-01 4.43070894e-04 -9.58988909e-03 -1.75847411e-01 -1.90437553e-04 -1.46389022e-01 -9.26111042e-02 9.22997762e-03 -2.22662999e-03 4.61886115e-02 -1.64197832e-01 -2.51780022e-02 1.17617026e-01 1.56136137e-02 5.32717397e-03 1.89158116e-02 1.34123238e-02 -6.27094822e-04 -1.22401929e-02 1.26242302e-02 -3.20347538e-03 -1.22463284e-03 6.00737855e-02 -6.62564579e-03 6.61813701e-03 -8.67478922e-03 7.46719912e-02 2.42824275e-02 -1.09194793e-01 5.59824938e-03 -1.99054644e-01 8.72922689e-02 8.81198968e-04 1.38217956e-02 -8.54678079e-03 -8.10263529e-02 1.53798163e-01 8.83285627e-02 1.35065280e-02 -7.82132335e-03 3.29273031e-03 2.09114421e-02 2.11302098e-02 -1.50851831e-01 -8.28204118e-03 -1.50281005e-02 2.87411641e-03 -7.55163431e-02 -3.33649048e-04 -1.91196911e-02 6.13721237e-02 1.15352329e-02 1.68269843e-01 1.98624060e-02 -2.30284128e-03 6.14410602e-02 2.13989258e-01 6.70406595e-02 -1.93501310e-03 6.37463015e-03 -1.59071162e-02 1.29411325e-01 2.72304546e-02 -2.31592983e-01 -6.87855808e-03 9.30788592e-02 1.94408640e-01 -4.09309529e-02 1.35975033e-01 1.82876244e-01 5.09116659e-03 1.57422456e-03 1.31447285e-01 1.70128439e-02 -1.19823515e-02 1.43770218e-01 3.76141369e-02 4.35561733e-03 -3.62234889e-03 2.34150384e-02 4.43949588e-02 2.00464338e-01 1.87281027e-01 -1.75467203e-03 -4.84862505e-03 -4.12527323e-02 -5.72628062e-03 -1.26238719e-01 1.30572319e-02 -1.74207799e-02 -9.92083624e-02 6.98496923e-02 4.40488607e-02 1.17171009e-03] [-0.06335925 -0.13221724 -0.00381064 -0.16567798 -0.01383332 0.00218354 -0.13183224 0.02452355 0.02788973 0.00250096 0.0299853 -0.02540441 0.02028699 -0.19593827 -0.14364162 0.16290879 0.00274029 -0.06882682 -0.05921878 0.06371003 0.11446874 -0.19566686 -0.15630892 -0.00632237 0.01609289 0.01296869 -0.16608271 -0.02051306 0.17906916 -0.15912014 0.09078068 0.07448374 0.0213179 -0.02760617 0.11012723 -0.03640322 0.00424021 0.02585715 -0.02823238 -0.09177334 -0.0448281 0.01269132 0.01029032 0.01297925 -0.23143853 -0.05333187 0.08589346 0.01878572 0.01384869 0.02759682 0.01674602 0.00382828 0.02136537 0.01708968 0.01303203 -0.01271639 0.11419892 -0.01560575 0.01509044 -0.00130006 0.01963696 0.16001163 0.007721 -0.01264601 -0.12340233 0.15206921 -0.00354279 0.14385608 0.00475835 -0.09503591 0.11370027 -0.11577646 -0.00514522 -0.00270106 0.00901462 0.017608 0.11278218 -0.11733402 -0.00667557 -0.11479305 0.00318324 -0.13495184 -0.00870367 -0.11412174 -0.09571653 -0.10569858 0.1299391 0.03241654 -0.00299625 0.15877752 0.06484311 0.19797319 0.02033803 0.01846023 0.0009007 0.20720163 0.02242703 -0.1857766 0.00062852 0.12673798 0.06463462 0.1519344 0.03257939 0.15660721 0.00795603 0.01819984 0.11469861 0.01845615 -0.01454206 0.00337964 -0.02030399 -0.00727219 -0.0262028 0.02024129 0.03539765 0.19751872 0.1457178 0.01221334 0.0418175 -0.04035529 -0.00345834 -0.10412087 0.03061048 -0.02195398 -0.00449462 0.08233875 -0.05818541 -0.00269384] Cos Similarity tf.Tensor(0.6582061, shape=(), dtype=float32) (128,) (128,) [ 1.36878923e-01 1.42163977e-01 7.32514784e-02 -1.09885834e-01 -2.32108608e-02 -7.66974455e-03 1.50774986e-01 -1.62662894e-01 7.81934336e-03 1.11176539e-03 -1.02500141e-01 1.86597724e-02 -4.95459791e-03 -1.64224043e-01 9.16454196e-02 1.10952884e-01 2.95006135e-03 1.45236656e-01 -1.10902591e-02 3.93286832e-02 9.65142250e-02 7.61436373e-02 -1.84282407e-01 -9.63092223e-02 3.93178500e-03 -2.25310004e-03 1.32173762e-01 -4.93133324e-04 1.57084882e-01 1.45451665e-01 -2.21153460e-02 1.07454106e-01 -4.32588486e-03 1.11636659e-02 -1.54993042e-01 1.37420418e-02 -1.06808515e-02 -7.16534108e-02 -5.04472852e-03 2.83100381e-02 -1.42742217e-01 -2.43318197e-03 3.35642090e-03 6.67445222e-03 -4.08577099e-02 1.50890827e-01 2.87262397e-03 1.45245176e-02 1.84121542e-02 2.83969510e-02 1.42358439e-02 3.10114003e-03 4.65151621e-03 2.21509882e-03 -4.12119611e-04 -8.46200157e-03 1.56649858e-01 1.58076652e-03 2.34761052e-02 4.51896014e-03 -1.81947067e-01 3.72175612e-02 1.57633305e-01 7.38715567e-03 -1.68054372e-01 3.56330238e-02 -2.30957288e-03 1.00452267e-01 -2.55876034e-03 -6.38011917e-02 -1.02144144e-01 6.38061091e-02 5.17619634e-03 9.57741216e-03 9.95163247e-03 1.98119637e-02 1.80563450e-01 1.53594866e-01 -3.85528593e-03 -5.62711842e-02 1.03245880e-02 1.31569104e-02 5.67958737e-03 6.82730898e-02 1.07686915e-01 -1.39539689e-01 1.86351806e-01 1.38587197e-02 2.14970671e-03 -2.01398268e-01 1.65378064e-01 -1.84534386e-01 1.13610821e-02 2.00241767e-02 3.66707030e-03 -9.07717645e-02 1.27168879e-01 -1.55933753e-01 7.45851488e-04 1.92860924e-02 9.55584347e-02 2.14560032e-02 -1.39796838e-01 1.44853368e-01 -4.34537372e-03 1.74891930e-02 -7.61376042e-03 6.86730072e-03 1.37631716e-02 1.23784030e-02 7.81022534e-02 -1.35982618e-01 -4.44364408e-03 6.15023216e-03 -5.17618172e-02 -9.76477414e-02 -1.82780087e-01 -3.52224195e-03 1.57973304e-01 1.95080526e-02 -9.10138406e-05 1.69133488e-02 3.05640567e-02 -5.23449015e-03 1.20104231e-01 -1.44339548e-02 -1.18680827e-01 -3.85637186e-03] [ 0.17649335 0.01201808 0.03912641 -0.03818718 -0.01109623 -0.01023943 0.10348225 -0.01290926 0.01258178 0.00944994 -0.13018775 0.0374459 0.04742331 -0.13093925 0.1626455 -0.19275123 0.01797798 0.00087453 0.05607135 0.06738564 -0.00365838 0.13845243 -0.06465247 0.11499763 -0.0041553 0.01113906 0.16212584 0.01366445 0.23359485 0.09691954 0.0101365 0.05543479 0.02082952 0.04429385 0.0060815 0.03913396 0.01966546 -0.07299751 -0.0278271 -0.06066134 0.08653415 0.00072451 -0.00031274 -0.00582984 -0.11447338 -0.11780417 0.00082409 0.02943437 0.02523153 -0.02192277 0.01325091 0.00625257 0.03627553 0.01104151 0.03107271 0.01351998 -0.15184863 0.00836275 0.02795658 -0.00031174 0.11937013 0.11091698 0.04983493 -0.0296821 -0.1650845 0.08539019 -0.01082044 0.19445552 0.04686385 0.00270032 -0.03640305 0.06239192 -0.00095846 0.04143131 0.00112497 0.03346879 0.14111604 0.08282661 -0.00156409 -0.18118101 -0.00446643 -0.00461417 -0.00409106 -0.04002761 -0.08869912 0.05466521 0.20716685 0.01887952 0.00518903 -0.14887185 0.16460605 -0.22481124 0.01021467 0.03531013 0.02268943 0.00989452 -0.11550655 -0.18013178 0.00226773 -0.09405063 -0.05946692 -0.01669937 0.11852311 0.06913825 -0.00360634 -0.04530196 -0.16234669 0.00705985 0.02589529 -0.0686598 -0.1692725 0.18725108 0.02504392 -0.01067783 0.0160523 -0.12936825 0.00030811 0.00879741 -0.210968 0.0226427 -0.01458875 0.21329854 0.00643815 0.00657398 0.14928348 -0.03732564 -0.01392567 -0.01218764] Cos Similarity tf.Tensor(0.3041416, shape=(), dtype=float32) (128,) (128,) [ 0.12312244 -0.03705734 0.16424768 0.20217766 -0.00981299 -0.00581414 -0.13379647 0.12568468 0.00269245 -0.01692919 -0.14599447 -0.0057016 -0.01172816 0.01625716 -0.01737441 -0.16159317 -0.00270777 -0.0269868 -0.07832601 0.09118061 -0.20481072 -0.03522779 -0.01627071 0.01659048 -0.02882658 -0.00266732 0.08855353 -0.00795948 -0.06740811 -0.17059103 -0.12064277 -0.1261228 0.00723142 0.00364215 0.06064997 0.03579832 -0.01904499 -0.16207378 -0.01059628 -0.19952297 0.00164175 -0.00469973 -0.00143385 0.00677492 0.03368859 -0.00075751 0.06387111 0.00406925 0.00610777 -0.00089206 0.00748729 0.00126002 0.00375499 0.00289428 -0.00619792 0.01013248 0.03399438 0.00067789 0.00077528 0.00296793 0.14036433 -0.09614664 0.11955764 -0.02327777 0.13206127 0.05697534 -0.00091889 -0.04431754 -0.00084165 0.02164154 -0.13768116 -0.1778449 0.00341151 -0.00326129 -0.01173462 0.00164718 0.0537027 0.01184948 0.00818806 0.17084841 -0.00076333 -0.09779432 0.00434659 0.21806756 0.08003097 -0.16737354 -0.1958922 0.01449197 -0.00434281 -0.09386925 -0.12160315 -0.24627294 -0.00422736 0.00087316 -0.0012184 -0.05646588 -0.04261645 0.01484595 -0.00108113 0.13373438 0.04220973 -0.17835356 0.0521028 0.07567886 -0.01349447 -0.00990281 -0.05530884 0.00294013 -0.00363679 -0.15658002 -0.14267667 0.05414539 0.00132053 0.13414142 -0.04478789 0.21250756 0.1164242 -0.01778693 0.08097203 -0.02403441 -0.00374692 0.0850653 0.00899749 -0.00736546 -0.19020815 0.11285369 0.00120711 -0.0110494 ] [ 0.14059263 -0.01191913 0.11491662 0.04634652 -0.01675811 0.02615344 -0.14952463 0.13613886 0.00526406 -0.01974355 -0.1813154 -0.01204366 -0.02496035 0.00262676 -0.04542436 -0.18366456 -0.00994432 -0.01046017 -0.05062515 0.01039545 -0.16770509 0.1952202 -0.05148156 -0.05213986 -0.04120052 -0.0018367 0.08422451 -0.03823054 0.03860281 0.11229319 -0.06844663 -0.05384353 -0.00803377 -0.00828949 0.13576813 0.02725388 -0.01406226 -0.10102054 -0.0095693 -0.22136477 -0.04914611 -0.002556 -0.00907104 0.00871914 -0.10795669 0.14891768 -0.02322325 0.00064173 0.00653929 0.00687862 0.00492253 -0.00056124 0.00095371 0.00372594 -0.01562246 0.00446629 -0.1741146 -0.00373805 -0.0023088 -0.00242048 -0.03359412 -0.18288934 0.00495706 -0.03821631 0.1464396 0.09114821 -0.00869806 -0.02680091 -0.00795712 -0.17841057 -0.21076584 -0.07442656 0.00558003 -0.00284339 -0.00810712 0.00192159 -0.08922663 0.00323245 0.00345399 0.15919763 -0.00481898 -0.04417208 0.00643533 0.22377832 0.20002846 -0.0932743 -0.05595196 0.0106854 -0.0081075 -0.16428004 -0.01130724 -0.16572365 -0.00665024 0.00397826 -0.00337665 0.11721709 -0.03190507 0.02835507 -0.01754251 0.06733971 -0.13793993 -0.16484763 0.03833467 0.1678918 -0.0116815 -0.008431 -0.0584061 -0.01394336 -0.01614488 -0.15746371 -0.1380938 0.14266448 -0.0050561 0.16943687 -0.08244222 0.21890028 -0.00275678 -0.01631528 0.02118955 -0.01779017 -0.00715654 -0.03745917 0.01064811 -0.00464448 -0.01827998 0.03409559 -0.08271796 -0.02155423] Cos Similarity tf.Tensor(0.66699266, shape=(), dtype=float32) (128,) (128,) [ 0.1009792 -0.118617 0.06020391 0.00568254 0.0009464 -0.00459334 -0.19023585 0.09382066 -0.00647979 0.00352816 0.09260242 -0.01070642 0.01066529 0.02598827 0.06946136 -0.09356406 0.00901972 0.01616917 0.01160685 0.11716382 0.03027128 0.01151544 0.02318725 0.07551775 -0.00034801 0.0118041 0.17611332 0.01166345 -0.11418615 0.1448124 -0.18966982 0.20050266 0.01172884 0.01220512 0.10963954 0.02658116 0.00346204 -0.18053015 0.00042318 -0.05321458 -0.1040359 -0.002539 -0.00579804 0.01153396 -0.08519623 0.13484663 -0.01849184 0.01493102 0.00847409 0.02102412 0.0025374 0.00309623 0.01880545 0.01430462 0.00931931 0.01353781 -0.12083855 0.01059457 0.01024258 0.00350851 0.14712578 -0.1738601 0.15065657 0.01962257 -0.11623681 0.13407858 0.00622407 0.04749407 0.01441847 0.00475859 -0.09136703 0.17595896 0.00630035 -0.0144218 0.00873396 0.02489817 0.19794793 0.03887888 0.00812944 0.07313578 -0.00194159 -0.01677243 0.01113947 0.14932847 -0.20016909 0.18717109 0.17801794 0.0174629 0.00338168 -0.11368839 0.0440276 0.14714585 0.00728806 0.02207666 0.01300751 0.09296203 -0.02862737 -0.16232172 -0.00499348 0.11944862 0.19630794 -0.17371444 0.13068192 0.02695648 0.00328235 -0.01907679 0.20077361 -0.01171098 0.01817601 -0.07652684 0.09271146 -0.00926236 0.01279823 0.04430447 0.02606988 0.0618539 0.0738868 -0.01826087 0.15045874 -0.00285919 -0.00575121 0.1460083 0.02211562 -0.01587398 -0.09158073 0.08197097 -0.11109993 0.0063912 ] [ 0.00316408 -0.11120714 0.1088297 -0.02322687 -0.0060562 0.00461707 0.04059142 0.11243036 -0.00960097 -0.00904432 0.21526212 0.00578817 0.00569686 0.00508897 0.03342146 0.18009102 0.00652911 0.01755264 -0.16281095 -0.08006496 -0.06686212 -0.1916967 -0.1101745 0.02432864 0.01622728 -0.00304531 -0.17286253 0.00428287 0.04348978 -0.06299385 0.08568363 -0.15415634 -0.01508574 -0.04189923 0.0105599 -0.00803376 0.02324228 -0.17688915 -0.01009 0.19167021 0.03412464 0.0171782 0.0079161 -0.00728003 -0.13748246 0.21008828 0.00645033 0.00758925 0.0129743 -0.01263183 0.0156236 0.00107031 0.01657098 0.00790158 0.01170382 0.01623996 0.18276292 0.01933338 0.00412606 0.02325812 0.12317462 0.11265164 -0.12069846 -0.00181037 0.19702448 -0.10122159 0.00648203 0.12392293 0.00462406 0.2339874 0.12194598 -0.05168982 0.01175373 0.00066371 -0.00340514 0.01453353 -0.12367726 0.00786972 -0.00227396 0.02246479 -0.00573056 0.00367266 -0.00161928 0.03007935 0.02353152 0.0442423 -0.02360411 0.01101971 0.00085186 -0.12563735 -0.17302544 -0.14164062 0.01214222 0.01329405 0.0035348 0.17208141 0.16098681 -0.14134747 0.00509505 0.13747051 -0.18878953 0.1323074 -0.1756027 -0.01105323 -0.01591838 -0.03155036 -0.07895619 -0.01376382 -0.00161636 -0.00879609 -0.10899512 -0.0405427 -0.01653222 -0.03195528 0.06199963 -0.23127137 -0.11128066 -0.00627716 0.09497543 0.0183806 0.00315145 0.03202993 0.02337806 0.01625653 0.05810399 -0.06194264 0.00908862 0.01146972] Cos Similarity tf.Tensor(-0.21459696, shape=(), dtype=float32) (128,) (128,) [-0.01927101 0.07250858 0.0990512 0.12691683 -0.03024834 0.02259316 -0.19549717 -0.2002207 -0.0009517 -0.00346624 -0.17922994 0.00564411 0.02187402 -0.09253077 0.02367399 -0.16066502 -0.0019547 0.19379391 0.02298984 0.02083843 0.17268226 0.14504461 -0.05720916 -0.03234837 0.01188299 0.00833963 -0.17694438 0.00977271 -0.01178276 -0.12455432 0.17705722 0.14122783 0.01278247 0.01710317 -0.11369172 -0.00358714 0.00127749 0.1850654 0.001654 -0.08807301 0.04202136 0.00567385 -0.00213499 0.02183541 0.05046015 -0.17115444 0.06261537 0.00038581 0.01765877 0.00909547 0.00983774 0.00181179 -0.00541923 0.01024602 0.00077855 0.00533161 -0.15944894 -0.0046471 0.01438042 -0.00707775 -0.00583822 0.06207689 -0.13982686 -0.02464623 0.00230275 -0.13962616 -0.00398058 0.09754852 -0.00677668 0.16861033 0.08671836 -0.07173428 -0.00272552 0.00649387 -0.0168088 0.02404855 -0.00197618 0.07754615 -0.00242206 -0.14281648 -0.00054459 0.00277076 -0.00525362 -0.1740829 -0.04673027 0.00145595 -0.16932915 0.00523358 -0.00561626 0.17800568 0.19117895 0.00969459 0.00932316 0.00088274 0.00599543 0.11664399 0.15595354 -0.19971894 0.01342119 0.14970006 0.1666 -0.1135508 0.08532334 -0.10567728 0.00475923 -0.006799 0.12846786 0.0256542 0.00509549 -0.17811482 -0.00678278 0.04183161 -0.00503922 -0.0775395 -0.06251562 0.11230158 -0.04208725 0.00575469 -0.13362141 0.00392335 0.00137337 -0.01371942 0.02876664 -0.01980132 0.05721349 0.00039834 0.02432824 -0.00459632] [-0.09990317 0.01351687 0.11827897 0.1111805 -0.02691567 -0.0055221 -0.17049275 -0.15588914 -0.00867139 0.00351763 -0.1856493 0.00575101 0.01360124 -0.05866433 -0.04301492 -0.17627406 -0.00120133 0.18492383 -0.07112591 -0.00475148 0.08222114 0.05733173 -0.08137656 -0.04874329 0.01387355 0.00076552 -0.17295162 -0.00419431 -0.03629411 -0.13714673 0.19045508 0.1240931 0.00876932 -0.00593807 -0.16361137 -0.00083791 -0.00358717 0.19105762 0.00022118 -0.06269325 0.13144909 0.00863918 0.00460271 0.00545172 0.1012987 -0.09239946 0.1300827 -0.00995266 0.00988577 0.00353927 0.01000912 0.00305911 0.00279147 0.00641304 -0.0093181 0.00027743 -0.15365528 -0.00426939 0.01118047 -0.00989582 -0.11230247 0.0411227 -0.14926438 -0.02505866 0.06380045 -0.11710725 -0.01479116 0.17990814 0.0031275 0.101973 0.09027664 -0.01618893 -0.00907617 0.00698192 -0.00689761 0.01622623 0.1693941 0.11555721 -0.00153747 -0.11490979 -0.00691615 -0.02254542 -0.00719138 -0.1821044 -0.10418244 0.00175032 -0.10918581 0.01679556 -0.0060762 0.16419171 0.17391075 0.00666295 -0.00495202 -0.00148971 0.00159799 0.15942004 0.11427131 -0.19090405 0.01663281 0.15056823 0.13351724 -0.10726758 0.12628399 0.03622497 0.0081083 -0.01457387 0.14000252 0.00998269 -0.00033363 -0.17862117 0.00037 0.15520424 -0.0003799 -0.07665705 -0.02018367 0.00635336 -0.05332422 0.00573648 0.13020284 0.0094841 -0.00043675 -0.03149429 0.02591801 -0.03714169 0.07125298 0.04252834 -0.01724351 -0.00883107] Cos Similarity tf.Tensor(0.8640553, shape=(), dtype=float32) (128,) (128,) [-0.19094451 0.02600796 0.00255757 0.13836044 -0.00599972 0.0041031 0.04928348 0.07101077 0.00723034 -0.00834733 -0.10152216 -0.02100258 0.00024047 0.16097331 -0.06527781 0.08293562 -0.00469925 0.06518181 0.07371342 -0.13311839 0.12945166 0.09990714 0.16993187 0.03395379 0.00661966 0.00541645 -0.14124882 -0.01167551 -0.05225739 -0.036196 0.07020795 0.06622855 -0.01631122 -0.01247329 0.21949822 -0.04897245 0.00955664 0.16616039 -0.00239365 -0.17308061 -0.12170734 0.00396721 -0.00856875 -0.00345792 0.17522119 -0.20817694 -0.08750924 -0.01818302 -0.00210201 0.00101455 -0.00137361 0.00599559 -0.03602879 0.00564507 -0.00649108 0.00582745 -0.06271953 -0.01212572 -0.00756715 -0.0173544 0.1054135 0.01535366 -0.00115713 -0.02462179 0.16476534 -0.08693023 -0.00619885 -0.06000175 -0.02980955 -0.20062822 0.07421301 -0.1935093 -0.00273307 0.00477599 -0.01554464 0.0027911 0.06408665 -0.00381015 -0.00173197 -0.06336945 -0.02116228 0.01439584 0.0023887 -0.16071843 0.16101395 0.09143265 0.16219594 0.00602107 -0.00477259 -0.0398651 0.1405849 -0.00836942 -0.02671116 0.00485437 0.00404699 0.16292082 0.02882312 -0.21259488 -0.01545734 -0.15231273 0.20468605 0.01317024 -0.09176319 0.09567677 -0.03269662 -0.00994811 0.04229719 0.00296886 -0.02161763 -0.08267366 0.03189288 -0.05165767 -0.00070211 -0.18003036 0.07576819 -0.0259218 0.18253754 0.00599979 -0.20661989 -0.01953028 0.00356723 0.13592054 0.00371506 -0.02794872 -0.05225123 0.00606475 -0.00405792 -0.00233338] [-1.73429996e-01 1.59903035e-01 2.83845421e-02 -9.11283866e-02 1.93636538e-03 -2.86982721e-03 -5.27830049e-02 6.82826862e-02 4.38658940e-03 -1.39429234e-02 -1.94072306e-01 -6.06040331e-03 -6.54463284e-03 1.57929197e-01 6.52714968e-02 -1.59872308e-01 -2.65479065e-03 -8.11932087e-02 -6.31361827e-02 -1.35647312e-01 1.91461086e-01 7.60791674e-02 6.00420833e-02 7.53143057e-02 8.25216155e-03 6.26205932e-03 6.93562254e-02 -4.95240046e-03 -1.98402002e-01 -1.36063963e-01 -1.03464991e-01 -8.47504511e-02 -1.54614439e-02 2.69415183e-03 1.25526085e-01 -5.59793739e-03 1.49658986e-03 7.21598864e-02 -3.02781537e-03 -1.23695351e-01 -1.80296674e-01 -4.41011507e-03 -1.06056947e-02 -2.03141966e-03 2.00364336e-01 -8.01523924e-02 2.68772934e-02 -1.13855107e-02 -1.12225616e-03 -1.95241650e-03 3.92393958e-05 4.25660890e-03 -1.96358319e-02 6.78139320e-03 -3.67758027e-03 7.89843220e-03 -2.16896534e-02 -9.52767674e-03 -5.53540792e-03 -3.36993090e-03 5.98755404e-02 -1.10198788e-01 -1.17231876e-01 -9.48403496e-03 6.61167577e-02 -1.15115684e-03 -8.37456249e-03 -7.58135989e-02 -2.64215171e-02 7.73171633e-02 1.34995533e-02 -1.65692002e-01 -5.62571781e-03 4.55802213e-03 -5.68103604e-03 5.48735028e-03 1.65051907e-01 -1.50871783e-01 -1.96302892e-03 -1.05684564e-01 -1.37197590e-02 1.08413488e-01 6.84864400e-03 -1.89186439e-01 8.19707960e-02 4.97419052e-02 -1.31235749e-01 6.39421446e-03 -5.10838861e-03 1.26530886e-01 1.74137682e-01 1.42604962e-01 -7.20788632e-03 5.97195001e-03 1.17613596e-03 -1.12531155e-01 4.22322527e-02 -1.46727324e-01 -4.97913640e-03 -1.68120459e-01 1.77495033e-01 -4.63206582e-02 -1.55064762e-02 -5.87170124e-02 -2.13184692e-02 -9.15803108e-03 5.29618897e-02 4.13009105e-03 -1.60768628e-02 -1.82387948e-01 1.40295714e-01 1.15947284e-01 1.93561253e-03 -1.45207584e-01 3.09720095e-02 -9.36436728e-02 1.46813884e-01 1.10916989e-02 -1.72596753e-01 -1.54257128e-02 -1.25405320e-03 6.31247237e-02 4.22601681e-03 -2.16295272e-02 -1.17185958e-01 6.21778481e-02 -5.74903525e-02 2.14013690e-03] Cos Similarity tf.Tensor(0.5385235, shape=(), dtype=float32) (128,) (128,) [-2.27105215e-01 1.34143412e-01 7.21287131e-02 5.61907850e-02 1.24896867e-02 7.49220699e-02 -1.53105631e-01 4.55525406e-02 1.08844470e-02 -6.97728537e-05 -7.56945163e-02 -1.84986107e-02 -8.36391654e-03 -9.71794501e-02 -1.32752955e-01 -1.35109788e-02 1.24360686e-02 -1.44277945e-01 4.12584469e-02 -7.32344389e-02 -1.92009598e-01 -2.11961940e-01 -1.31899463e-02 -3.05724926e-02 4.30617593e-02 -2.39379914e-03 -1.45455018e-01 -7.18648080e-03 1.01784386e-01 1.72217742e-01 -2.13278942e-02 1.45741463e-01 1.58041996e-06 -1.23248408e-02 -1.90959513e-01 -1.37415836e-02 2.28327271e-02 -3.96066196e-02 1.34348189e-02 -1.90482244e-01 4.29761559e-02 3.78222344e-03 -2.49530189e-03 -1.45785548e-02 -4.53813337e-02 1.94360748e-01 6.75126619e-04 9.56354756e-03 5.31540904e-03 2.58202739e-02 1.71792284e-02 9.22829378e-03 1.30633553e-02 6.63261814e-03 -1.30230179e-02 -2.37518759e-03 4.20373268e-02 -5.23992581e-03 4.71650437e-03 -5.84441843e-03 7.22422004e-02 1.26765966e-01 1.03616409e-01 -3.05632371e-02 1.62924707e-01 1.44038022e-01 -3.06009371e-02 1.57918260e-01 1.21521810e-02 -1.42862484e-01 -9.94050652e-02 1.08920345e-02 -1.03974417e-02 8.21712334e-03 4.23549907e-04 1.11651663e-02 3.53489518e-02 -1.22541733e-01 -3.98854073e-03 -2.03521207e-01 -2.00862158e-02 3.85996676e-03 6.95675658e-03 -5.24697192e-02 2.45178193e-02 1.48099735e-01 2.07466930e-02 1.21553717e-02 -1.71941589e-03 8.59487709e-03 -1.88711688e-01 -1.50540248e-01 -3.21201198e-02 1.26142958e-02 1.54870851e-02 -8.96566212e-02 -1.66562542e-01 1.07564136e-01 -1.59443039e-02 6.55266047e-02 -1.72424376e-01 5.28939255e-02 -1.56825200e-01 1.15914717e-01 1.21613266e-02 -1.14612968e-03 -1.58911020e-01 -2.17675022e-03 5.93833718e-03 -1.50302187e-01 1.55211672e-01 5.84442802e-02 -2.76763458e-03 -2.99373968e-03 -2.31556557e-02 5.43206744e-02 -8.38696361e-02 1.37347439e-02 -1.26956835e-01 2.17704959e-02 -1.18484175e-04 1.61751151e-01 1.09207546e-02 -1.69440955e-02 -2.83637065e-02 6.02743626e-02 -5.83650172e-02 -1.83384251e-02] [-2.13515624e-01 1.33102044e-01 4.26614620e-02 3.83954197e-02 1.46051701e-02 5.64817749e-02 -1.30777359e-01 1.59835190e-01 6.77281525e-03 1.69603457e-03 -5.48541173e-02 -4.59799031e-03 -1.98393445e-02 -8.41689259e-02 -1.53784007e-01 -7.57286965e-04 3.76742356e-03 -1.37707785e-01 1.90543700e-02 -8.45640749e-02 -1.93730414e-01 -1.90478534e-01 -1.30029581e-02 -4.44154553e-02 4.04675975e-02 1.93795410e-03 -6.21305108e-02 -1.55070471e-02 -1.13090932e-01 1.78494439e-01 3.35707705e-06 1.73261732e-01 -6.42045727e-03 -1.59929805e-02 -1.82672292e-01 -9.68577340e-03 2.57723033e-02 1.25790183e-02 -4.40963684e-03 -1.58740968e-01 6.84171617e-02 -2.88054789e-03 -5.28521556e-03 -1.28332628e-02 -4.93560247e-02 1.60477132e-01 -1.78549916e-03 -2.90950388e-03 2.95302668e-03 3.01692281e-02 1.17968330e-02 4.34880331e-03 9.08812601e-03 4.12503770e-03 4.52473527e-03 1.40595092e-02 3.90793160e-02 -1.04542002e-02 1.08878734e-02 -1.17336609e-03 7.43741617e-02 1.16429664e-01 1.37294665e-01 -2.29516141e-02 1.55362874e-01 1.46031454e-01 -3.68727557e-02 1.73644140e-01 9.00971051e-03 -1.55829832e-01 -1.03000276e-01 -1.45741114e-02 -9.41328797e-03 8.46992619e-03 6.43950794e-03 1.58669136e-03 8.48688185e-02 -1.45068660e-01 -5.40791592e-03 -2.30323717e-01 -1.56555492e-02 1.16345268e-02 1.16994437e-02 -1.62284523e-01 8.68329927e-02 1.40662938e-01 3.78186181e-02 1.65392663e-02 4.28839121e-03 2.31606867e-02 -1.75238818e-01 -5.90291582e-02 -2.60921977e-02 1.12418467e-02 2.01070383e-02 -2.76134554e-02 -1.57398790e-01 3.80968601e-02 -1.17902625e-02 -6.75989240e-02 -2.86434405e-02 1.32983178e-01 -1.88820377e-01 7.79906437e-02 2.21545920e-02 7.35713635e-03 -1.25219062e-01 -2.44841771e-03 -2.26017251e-03 -1.83059916e-01 1.30839780e-01 1.60528421e-01 4.77399677e-03 -8.90400726e-03 -1.88588835e-02 4.98969853e-02 -7.89290071e-02 1.18872253e-02 -1.56210095e-01 1.34016536e-02 -2.98097264e-03 1.53315574e-01 2.48437114e-02 -1.58919916e-02 -5.29116429e-02 5.22095151e-02 -4.21064459e-02 -9.74726398e-03] Cos Similarity tf.Tensor(0.9084338, shape=(), dtype=float32) (128,) (128,) [ 4.41802517e-02 -1.33760408e-01 8.81620646e-02 8.20016395e-03 1.38566699e-02 -1.05027609e-01 -7.02750012e-02 1.04335494e-01 -1.12561556e-02 2.02745828e-03 -1.30829513e-01 -1.09221274e-02 -2.07005572e-02 7.70855546e-02 1.34945745e-02 -1.19527243e-01 8.74945894e-03 1.47204891e-01 1.32043585e-01 -1.23349875e-01 -9.84988585e-02 -1.19181022e-01 8.51114243e-02 -5.67727070e-03 1.11227622e-02 -7.92485103e-03 1.12012975e-01 -2.41243024e-03 -1.17325008e-01 2.00275064e-01 -2.06394896e-01 1.33465648e-01 8.32071062e-03 -5.37563488e-03 8.64156783e-02 -1.05328560e-02 9.96894762e-03 -8.05290565e-02 -2.31596567e-02 2.10107155e-02 -4.51071225e-02 4.23039729e-03 -2.79311184e-03 2.96385190e-03 1.93326920e-01 -3.26166301e-05 6.86847046e-02 3.68048437e-02 1.19303986e-02 2.16688775e-02 4.98864567e-04 1.59244835e-02 2.23354790e-02 6.63347961e-03 -5.27987676e-03 9.37854219e-03 -1.47938743e-01 4.34371876e-03 7.67189404e-03 1.67501774e-02 -1.39476374e-01 -1.83197185e-02 6.28393516e-02 2.25616666e-03 -1.27328709e-01 1.69204414e-01 1.23584392e-02 3.77426632e-02 8.80077761e-03 1.81324840e-01 -5.44787496e-02 8.73422623e-02 -6.68105762e-03 1.38992574e-02 -7.80584663e-03 1.17200948e-02 1.94852084e-01 4.11547124e-02 -1.19691796e-03 7.31177777e-02 -3.86984646e-03 -5.07905753e-03 1.41881881e-02 7.30018467e-02 -1.56652197e-01 1.81219846e-01 -1.97084948e-01 9.59476107e-04 -6.30166661e-03 1.16057649e-01 -1.15308873e-01 1.69722259e-01 1.95173658e-02 8.76115635e-03 2.30577923e-02 2.14875609e-01 -6.25031218e-02 -1.40292764e-01 6.55586971e-03 -7.30675505e-03 1.10012129e-01 -1.31413966e-01 5.38203530e-02 2.12796644e-04 5.26123587e-03 7.85956811e-03 1.25226736e-01 4.83093783e-03 1.83779784e-02 -1.94724381e-01 -1.58061262e-03 2.01398894e-01 1.37332473e-02 4.17323736e-03 -3.61456461e-02 7.88525045e-02 1.02221854e-01 -6.56832010e-03 1.78215563e-01 1.94624532e-02 -1.77314579e-02 1.67308196e-01 1.52319847e-02 -1.89661589e-02 -9.73607376e-02 6.04207851e-02 -5.69339842e-02 2.53447914e-03] [ 1.05501123e-01 -3.86974849e-02 3.20503116e-02 -1.40351012e-01 3.57064651e-03 -1.13222636e-01 -1.39374211e-01 8.16868246e-02 -1.56688970e-02 9.33059119e-03 -6.55839592e-02 -1.96281611e-03 3.55210565e-02 1.41978981e-02 3.71353142e-02 -1.70400366e-02 1.40725086e-02 1.53064847e-01 2.28751168e-01 -1.80457726e-01 1.16279162e-01 -1.81272134e-01 -1.11785099e-01 -1.13728540e-02 2.13277619e-02 -5.07763913e-03 9.77678150e-02 -9.85235814e-03 -1.95494533e-01 1.54140502e-01 -1.77568704e-01 1.80115491e-01 5.17147500e-03 2.03653388e-02 1.92151703e-02 1.71675906e-02 -2.29915301e-03 -1.29767079e-02 -3.28828916e-02 -2.80805659e-02 4.31519300e-02 2.19518831e-03 7.77023961e-04 6.76373113e-03 2.17324048e-02 3.47970873e-02 8.17216188e-02 1.08725671e-02 2.55498141e-02 -1.52656122e-03 2.77752173e-03 1.53369568e-02 1.15618231e-02 1.69241205e-02 -5.58888540e-03 1.24148224e-02 -1.33852065e-01 -1.38452575e-02 1.66199624e-03 2.06170529e-02 1.55593734e-02 -9.86437276e-02 9.95927751e-02 5.95607935e-03 -6.43497929e-02 2.36287098e-02 1.59086157e-02 6.04811916e-03 8.52173287e-03 6.41116500e-02 -1.31392196e-01 9.88438055e-02 -9.05597024e-03 2.24392563e-02 3.02796951e-03 -2.04648301e-02 2.04068571e-01 7.80749395e-02 -3.52553744e-03 1.14989132e-01 -5.81709715e-03 -3.14735109e-03 1.11009059e-02 -6.54051080e-02 -1.52856871e-01 -8.75237118e-03 -7.66590312e-02 2.78568408e-03 -2.23911437e-03 2.12425422e-02 1.91916265e-02 1.31326437e-01 1.96576659e-02 1.35433124e-02 2.41031833e-02 2.09451705e-01 -6.35678917e-02 -1.67770669e-01 5.60145301e-04 -2.17252329e-01 1.69733018e-01 1.19298436e-01 -1.69683364e-04 9.93742328e-03 2.21732003e-03 8.25611595e-03 1.92888439e-01 9.19359922e-03 1.95984021e-02 -2.37215579e-01 8.32937192e-03 1.91103593e-01 1.27860224e-02 6.07931428e-02 -4.54959534e-02 -8.55060890e-02 1.69753551e-01 -6.24234974e-03 4.96772416e-02 1.21455537e-02 -2.65917312e-02 1.80600479e-01 1.91939585e-02 -8.66352860e-03 -1.59133404e-01 6.83451593e-02 -7.84656405e-02 -2.21501989e-03] Cos Similarity tf.Tensor(0.7045281, shape=(), dtype=float32) (128,) (128,) [ 0.17130466 0.06094959 0.06399506 -0.06684458 0.00568745 -0.02561431 0.01725705 0.00656197 0.01513185 -0.01555113 -0.0706604 -0.002106 0.0104735 0.14414938 0.07705396 0.11980604 0.01147595 -0.06804476 -0.0138229 0.02485191 -0.16885121 -0.0230036 -0.13286535 0.18915541 0.00505251 -0.0031453 -0.12282752 0.00495948 0.15522188 0.12750515 -0.07998013 -0.14637601 0.01069283 0.0099505 -0.07806005 -0.03936379 0.01033593 0.16164528 -0.00936019 0.14626718 -0.10974805 -0.02383914 0.00078782 -0.00629329 0.18582867 0.00063335 0.00083357 0.01323297 0.01077576 -0.00459225 0.00241875 0.00387696 -0.0107684 0.00337407 0.00952538 0.00924508 0.12045616 -0.01368788 -0.00459424 -0.00377874 0.02268757 0.21595888 0.05231554 -0.02664758 -0.1566038 0.21981639 0.00629312 0.00660489 0.00769434 0.03780423 0.12390171 -0.03716991 -0.00531288 -0.00040507 -0.00591302 0.00857242 0.16181205 -0.04320828 -0.00138379 0.08538654 0.00439019 -0.02604408 0.01241138 0.02636099 -0.11994836 -0.10777084 -0.09541757 0.01314418 -0.00032907 -0.10079794 -0.04407631 -0.19759183 0.00121539 0.00173153 -0.01145391 0.18843214 0.16898537 -0.1395623 -0.00103816 -0.15905736 -0.1634409 -0.17290917 0.10244504 -0.17317745 -0.01485732 0.01471493 0.13554306 0.00708466 -0.01340005 -0.15931824 0.15041955 -0.11393747 -0.00352099 0.0706693 0.01384051 0.07455606 0.11599298 -0.00849915 -0.17038876 -0.02142973 -0.00157158 0.06635325 -0.00972756 -0.01307297 -0.0986439 -0.0411834 0.00539582 0.00167589] [ 2.49074176e-01 5.09117991e-02 7.91630000e-02 7.46345446e-02 7.96780828e-03 2.87140179e-02 1.86201720e-03 1.65981073e-02 8.82515498e-03 -1.18870856e-02 -4.53888066e-03 -1.27897514e-02 1.42301526e-02 1.28016338e-01 3.89548466e-02 8.91945064e-02 -4.46555717e-03 1.46777436e-01 -7.59758130e-02 2.52144307e-01 5.94262034e-02 -1.12892039e-01 3.26125063e-02 1.64089322e-01 -3.12340003e-03 -4.36883373e-03 -2.95030028e-02 9.40761436e-03 1.96525529e-02 -9.99603570e-02 1.09758355e-01 -1.77954882e-01 2.22699214e-02 1.05226906e-02 8.29719156e-02 2.09097774e-03 2.85518891e-03 1.47286996e-01 -4.97726910e-03 1.43119305e-01 1.50377527e-01 -1.36333918e-02 -1.45481469e-03 -1.19848410e-03 2.07613975e-01 2.15500921e-01 -9.47383139e-03 1.40593750e-02 5.61381504e-03 2.19606655e-03 6.62493054e-04 6.95047574e-03 -9.27395932e-03 2.47971737e-04 -8.02489463e-03 1.18185822e-02 -7.12553784e-02 -1.52700040e-02 8.93866061e-04 -2.18110606e-02 8.21935479e-03 -1.01498045e-01 1.37295783e-01 -4.43483740e-02 -2.46006697e-01 1.92147791e-01 2.26712626e-04 -3.27564105e-02 -2.47882097e-03 2.78845448e-02 -1.12343915e-01 -1.06579602e-01 -2.66137021e-03 -3.17150797e-03 -7.13050039e-03 -4.97821660e-04 8.00874159e-02 2.47283429e-02 -2.58883042e-03 -1.16080783e-01 -3.97368288e-03 -2.07724851e-02 8.41655862e-03 2.88346093e-02 -1.42650515e-01 -1.02605507e-01 1.56977668e-01 6.77519711e-03 -2.61624198e-04 -3.37910876e-02 -1.48744062e-01 -8.90448913e-02 -3.56835430e-03 2.82992522e-04 3.73735279e-03 2.15048254e-01 1.13854297e-01 -4.95848097e-02 -6.33590110e-03 -2.05732331e-01 -1.46426097e-01 1.21504730e-02 -6.25534058e-02 -1.33886829e-01 -2.32183337e-02 -3.67423607e-04 -2.84883138e-02 1.75960790e-02 -2.70346664e-02 -2.82975622e-02 -3.16517204e-02 -9.39937010e-02 2.65141833e-03 3.18951569e-02 4.68728766e-02 9.39833969e-02 5.77546172e-02 -2.60129794e-02 -1.84176251e-01 -4.05276790e-02 1.10903871e-03 1.92672804e-01 -8.34697299e-03 -2.00646538e-02 1.05576657e-01 1.01525732e-03 1.13995783e-01 -1.02795316e-02] Cos Similarity tf.Tensor(0.45953614, shape=(), dtype=float32) (128,) (128,) [ 1.89773794e-02 1.40279278e-01 -3.68297063e-02 -5.92569448e-02 -1.00524975e-02 6.17381297e-02 2.29560602e-02 3.59414034e-02 1.77962589e-04 -1.10092843e-02 8.92942324e-02 -2.20158231e-02 -9.90831759e-03 5.51675446e-02 7.43269548e-02 2.21247956e-01 -1.39448838e-02 -1.03117682e-01 5.45070469e-02 -9.26694367e-03 7.05104172e-02 1.19754542e-02 1.62966341e-01 5.32228872e-02 -3.37673761e-02 3.96908307e-03 -4.44338433e-02 -2.31119599e-02 -8.38813484e-02 1.96284786e-01 -1.16928972e-01 1.73192352e-01 -4.67916811e-03 -1.26308538e-02 -1.69566348e-01 -5.36130108e-02 -7.50718173e-03 1.77780226e-01 -1.76273915e-03 -1.83748722e-01 -6.53904676e-02 1.64272147e-03 -1.15446735e-03 3.86962225e-03 1.48275509e-01 -1.38468549e-01 1.25319511e-01 -8.78985971e-03 3.09729902e-03 5.31699089e-03 6.01569947e-04 -9.98602482e-04 -1.35492450e-02 3.98924435e-03 -5.50750270e-03 9.56228562e-03 4.37072627e-02 -2.49448419e-03 -4.86058323e-03 -3.08742337e-02 1.78874806e-01 7.18339458e-02 -1.36229351e-01 -1.07412059e-02 4.72277738e-02 1.31611705e-01 -8.48041754e-03 -1.95561916e-01 -9.18998383e-03 -1.08981349e-01 1.63170487e-01 1.46767646e-01 2.74637510e-04 9.79037490e-03 -1.29686762e-02 3.45162745e-03 1.60415605e-01 -5.10949967e-03 4.83698008e-04 1.31020218e-01 -2.33047139e-02 -2.04674620e-02 -2.32921774e-03 6.33453876e-02 -1.55185089e-01 4.97139432e-02 4.10150327e-02 4.28733975e-03 -1.02305599e-02 9.48490947e-02 1.42847210e-01 1.64272070e-01 -2.50196233e-02 4.06383304e-03 -8.20356980e-03 -1.04120158e-01 6.08576685e-02 2.16402277e-01 -3.20204943e-02 1.12286918e-01 -1.58120945e-01 2.03716233e-02 -1.01787575e-01 2.01279908e-01 -2.16109827e-02 -8.95350799e-03 4.42904271e-02 7.53177376e-03 -3.24214995e-02 4.38234471e-02 1.14068203e-01 -1.60458475e-01 -9.56254732e-03 -1.37670517e-01 -1.43892923e-02 1.09088659e-01 1.38413697e-01 -1.02043087e-02 1.01209991e-01 -1.80085171e-02 -1.46341219e-03 -6.26912247e-03 1.54909410e-03 -2.95796022e-02 1.74774215e-01 -8.23511370e-03 -6.73434660e-02 -6.56660320e-03] [-9.76949278e-03 4.86570038e-02 -8.51185247e-02 -4.95825931e-02 -2.33426429e-02 -5.25120348e-02 -8.34739674e-03 -1.62671044e-01 3.17420159e-03 -1.52913679e-04 -2.04306111e-01 2.30438937e-03 1.60113070e-02 -1.22906165e-02 6.01545312e-02 -1.17324874e-01 4.55547543e-03 2.93931905e-02 1.82417899e-01 -2.18423568e-02 6.00689538e-02 -1.21691413e-01 8.25314894e-02 1.40756322e-02 1.24027329e-02 4.59372858e-03 1.57054722e-01 -2.62370184e-02 1.36700362e-01 1.13094233e-01 -2.01384723e-01 1.85131550e-01 -4.92635230e-03 2.98521435e-03 6.22231560e-03 -3.49944318e-03 9.62923106e-04 -1.23849526e-01 -3.81432823e-03 -9.69121456e-02 -9.22151655e-02 -9.26437415e-03 -2.19756668e-03 -4.58213290e-05 7.39581436e-02 1.17256403e-01 1.31954136e-03 1.09797390e-02 1.00888992e-02 1.76266935e-02 5.86952316e-03 4.89742495e-03 -9.63482447e-03 4.49042534e-03 -1.10877017e-02 6.08797278e-03 -3.33957821e-02 9.77093820e-04 1.04330527e-02 -7.46050477e-03 2.91117355e-02 -1.55054346e-01 1.44804627e-01 -1.70849831e-04 -1.96483657e-01 2.48643057e-03 -2.24573612e-02 3.11147218e-04 -5.84145309e-03 -3.83862145e-02 -1.13150235e-02 -6.38455376e-02 -8.70673452e-03 6.29400834e-03 4.48539760e-03 1.00137826e-04 9.86750573e-02 5.80643080e-02 -8.38030037e-03 9.90570933e-02 -7.85067305e-03 -1.39762396e-02 1.21345688e-02 -1.17707200e-01 -1.98314160e-01 1.44978598e-01 6.94800690e-02 2.72038323e-03 -2.95693893e-03 1.11549996e-01 1.30044475e-01 2.03604981e-01 8.68348498e-03 1.20138926e-02 1.01699540e-02 1.92979440e-01 4.33361456e-02 -1.84799403e-01 -6.29110588e-03 -5.03298119e-02 1.76005825e-01 4.23086397e-02 1.11811064e-01 1.04350284e-01 -2.98217917e-03 -1.53078306e-02 2.02815235e-01 5.90361771e-04 4.36027581e-03 -2.04169363e-01 3.70632224e-02 -1.23408951e-01 -1.99924852e-03 -6.07580505e-02 1.57200713e-02 1.80713832e-01 1.08505063e-01 -1.67081915e-02 1.84834972e-01 6.64254371e-03 3.45459091e-03 1.72622666e-01 1.68922655e-02 -2.15969272e-02 -1.96925774e-01 5.06742746e-02 -2.63055544e-02 -1.46906329e-02] Cos Similarity tf.Tensor(0.096889555, shape=(), dtype=float32) (128,) (128,) [ 7.79472962e-02 -1.89729422e-01 6.06831256e-03 -3.56029235e-02 1.95164084e-02 1.52605446e-02 1.70865597e-03 1.17522497e-02 9.62598529e-03 -3.41854966e-03 -7.84275308e-02 -6.93334546e-03 1.68746840e-02 6.36072680e-02 1.52084514e-01 2.79949345e-02 5.43805957e-03 4.01019976e-02 4.66768024e-03 -1.73823491e-01 2.02213153e-01 2.40278188e-02 -1.43294275e-01 1.64889157e-01 5.14163589e-03 7.13995053e-03 -1.09682322e-01 -9.15166805e-04 1.21996723e-01 -2.18247607e-01 -2.99805105e-02 1.13755070e-01 -1.90575293e-03 3.04877246e-03 -1.58098772e-01 2.72212783e-03 -3.65291419e-03 2.25600556e-01 -1.84343886e-02 -7.45469481e-02 -1.19530305e-01 -5.52213145e-03 4.08034161e-04 -1.18761994e-02 -1.52810618e-01 -1.05662048e-01 -3.25195156e-02 1.48529941e-02 6.64108619e-03 1.40931341e-04 1.05021859e-03 5.95421484e-03 -6.98533561e-03 5.00361156e-03 5.60968835e-03 7.73613621e-03 5.20182736e-02 -2.05018162e-03 -4.15786263e-03 1.20546846e-02 1.66557923e-01 1.18817136e-01 7.44929016e-02 5.01193618e-03 -2.01647073e-01 -1.10924959e-01 5.81460167e-03 3.19382083e-03 -9.02736560e-03 7.71863312e-02 3.90956439e-02 -3.03014982e-02 3.91941611e-03 1.60260778e-02 -1.16693312e-02 -5.47375716e-03 1.49607942e-01 -3.94533202e-02 9.97118838e-03 1.74006611e-01 -5.72094787e-03 2.10906356e-03 -9.61433258e-03 1.14782818e-01 3.24774161e-02 1.23427548e-01 1.13575719e-01 -4.96506551e-03 1.79057138e-03 9.31119919e-02 -1.85127810e-01 2.17800885e-01 7.38005433e-03 -5.62596321e-03 6.08244119e-03 1.32033437e-01 -4.94384021e-03 7.60321468e-02 -4.40724613e-03 6.00852147e-02 -4.18232605e-02 2.18650371e-01 3.31076235e-02 5.47579937e-02 -8.20227712e-03 -6.48207963e-03 2.25220531e-01 4.04524244e-02 -2.43499503e-03 -5.46805561e-02 -1.02813393e-01 2.07673535e-01 -2.76766010e-02 -3.55050899e-02 1.83352139e-02 -9.22389328e-02 -1.00527210e-02 -8.76913499e-03 1.90546468e-01 6.93833595e-03 -1.90553046e-03 -9.99274105e-02 3.70170735e-03 -2.23836303e-02 -1.66949108e-01 5.61151132e-02 3.56726646e-02 -2.66972557e-03] [ 0.03780785 -0.23358709 0.036815 -0.10344426 0.01249789 -0.02234648 -0.1541818 0.00821097 0.01341361 0.00217073 0.09317045 -0.01578633 0.01536331 0.14891519 0.17943394 -0.12199747 0.00203426 0.16129608 0.04947583 -0.09306902 0.135892 0.0591698 -0.11177191 0.19063373 0.00793724 0.00749191 0.09626102 0.00548457 0.04876743 -0.24428709 -0.10990958 -0.10586498 -0.00575555 0.00842349 -0.05882321 0.00456724 -0.00181318 0.08158747 -0.01458108 -0.05753997 -0.11811336 -0.00130429 -0.00217674 -0.00060103 -0.1850158 -0.1799722 -0.0222639 0.01010046 0.00538293 0.00035549 0.00120118 0.00553022 -0.00660306 0.0053422 0.00471743 0.00315913 0.21850447 -0.00227126 0.00305264 0.00807699 0.17391737 -0.0415548 0.22618723 0.00913402 -0.12281101 0.1168026 0.00454604 0.0060836 -0.01278732 0.12836093 0.04150358 0.01356211 0.00455277 0.01449167 -0.00791425 -0.00505843 0.18911058 -0.10945974 0.01059638 -0.02599366 -0.00327888 -0.032806 0.00441256 -0.03559881 -0.02610244 0.13565116 0.04404396 -0.00907491 -0.0013873 -0.0175887 -0.02652743 0.20035636 0.01194205 0.00147371 0.00314654 -0.1349851 0.0230244 0.15475303 0.00097574 0.13959675 -0.02234874 0.15909028 0.00309593 -0.01560036 -0.00856252 -0.00686046 0.216156 0.03286589 0.00476168 0.03393143 -0.06759001 0.14470868 -0.01710276 0.0430793 0.01240831 -0.08847938 -0.07461496 -0.00360326 0.1702487 0.01622169 -0.00170688 -0.07429131 0.00373974 -0.03670068 -0.11442615 0.09338202 -0.05024237 0.00054165] Cos Similarity tf.Tensor(0.6732576, shape=(), dtype=float32) (128,) (128,) [ 0.09133444 0.19616686 0.11021443 0.03935823 -0.02221025 0.13439742 -0.1329082 -0.16331983 -0.04976008 0.00484821 -0.21961164 0.00698594 0.00688413 0.05982362 0.1506132 -0.07277017 0.01976053 0.00734954 0.07437957 -0.08113585 -0.0095834 -0.05018091 0.09864144 -0.05739855 0.03445954 0.03074233 0.11734633 -0.01909786 -0.01592107 -0.16402376 -0.09690965 0.0606912 0.02686113 0.03064974 0.11617169 0.02047829 0.02962417 0.13475329 -0.03681328 0.08321073 0.16694295 0.01221862 -0.00254292 0.02605716 -0.05561215 0.19850658 0.0899986 0.02545668 0.03080617 0.04379892 0.01712302 0.01423907 0.04828284 0.02438673 0.04154282 0.01979707 -0.13509768 -0.01725336 0.03368226 0.01381783 0.03700218 -0.13959043 -0.0871202 0.0191726 -0.05517887 0.0898658 0.03036914 -0.05462166 0.03572317 0.22934675 0.04298405 0.20770073 -0.00687829 -0.00792024 0.00875126 0.0525069 0.01959496 0.07034666 -0.01029108 0.20751062 -0.01780103 -0.02603579 0.00927339 -0.16798632 -0.1288586 0.06434639 -0.16421878 0.01693402 -0.00157889 0.11809601 0.05475434 -0.09427797 0.02109493 0.00463886 0.01123658 0.2048993 -0.2127704 -0.01875763 0.01790638 0.17179196 0.18835667 -0.03642797 0.03957595 0.05615401 0.00586469 -0.02564168 0.18361674 0.0206713 0.00228855 0.00383771 -0.09359488 0.13176163 0.03050903 -0.05417152 -0.00623494 -0.04759728 0.00495669 -0.01459518 -0.10555033 0.01561824 0.01521389 0.0423605 0.05096091 -0.0027163 -0.12262688 0.02646427 -0.04911258 -0.0007801 ] [-1.74651161e-01 4.17419299e-02 4.93276045e-02 -9.45388060e-03 -2.99627092e-02 -8.15402493e-02 -6.56642839e-02 -6.23726174e-02 9.18279961e-03 -1.00458902e-03 -2.07335696e-01 -2.93333549e-04 5.81072224e-03 -1.43925890e-01 7.82443658e-02 -1.00462519e-01 4.83080512e-03 -1.37113305e-02 1.46967188e-01 -3.57073173e-02 6.04966376e-03 -1.90649748e-01 2.32411847e-02 -2.87089584e-04 1.56376008e-02 5.60671790e-03 4.51983958e-02 -3.61511633e-02 1.38958573e-01 -6.19646832e-02 -2.05172300e-01 1.59370974e-01 -9.43274237e-03 -2.52789282e-03 1.04951531e-01 -1.88133158e-02 5.97875332e-03 -1.48837715e-01 -2.00228205e-05 -6.08842783e-02 -5.12949377e-02 -5.33410162e-03 -1.20648788e-03 -2.35718256e-03 -2.10950941e-01 1.89830676e-01 -8.06191191e-03 -7.71322055e-03 1.46571770e-02 1.54138710e-02 1.30243879e-02 2.88065244e-03 -1.42690213e-03 1.59484101e-03 4.00049379e-03 1.16296322e-03 1.67967200e-01 -1.32907834e-02 3.11908615e-03 -3.55347781e-03 1.28526744e-02 -1.86737180e-01 1.10093601e-01 -3.15046031e-03 -1.60224169e-01 -1.04773447e-01 -1.85589213e-02 6.50023222e-02 -5.62454062e-03 2.19927188e-02 -4.68821041e-02 1.40420431e-02 -3.32261110e-03 3.95670999e-03 5.16263489e-03 7.86652847e-04 8.48315656e-02 4.29058708e-02 7.40047253e-04 -5.67559153e-02 -4.30751173e-03 -2.52002827e-03 7.20659457e-03 -1.04849890e-01 -2.07765162e-01 5.19127324e-02 1.34323388e-02 8.91384296e-03 -1.93794479e-03 1.62716985e-01 4.13472280e-02 1.56759799e-01 2.00707675e-03 1.30926864e-03 1.40291369e-02 1.76293001e-01 -7.90468752e-02 -1.22568130e-01 -8.23686924e-03 -3.34608667e-02 1.59156844e-01 -8.98538381e-02 7.07147792e-02 1.78292468e-01 -1.03449961e-02 -5.32968249e-03 1.67147905e-01 7.89350364e-03 3.21799284e-03 -2.08680391e-01 1.39040863e-02 -1.27235144e-01 3.33411573e-03 1.30966797e-01 4.15577693e-03 1.68427184e-01 1.00859679e-01 -1.02795297e-02 1.68224066e-01 9.04627051e-03 9.98042990e-03 1.24613881e-01 2.35256627e-02 -2.18573008e-02 -1.85284525e-01 5.59735633e-02 -3.86643596e-02 -3.99793731e-03] Cos Similarity tf.Tensor(0.30883014, shape=(), dtype=float32) (128,) (128,) [-3.29570211e-02 2.10161611e-01 9.13689956e-02 -8.88426788e-03 -4.88371029e-03 -7.50093833e-02 -9.41111222e-02 -2.00508416e-01 2.33671977e-03 -6.03856472e-03 1.24650769e-01 -1.42636045e-03 1.57601964e-02 3.15175056e-02 -4.09016721e-02 1.32135585e-01 3.64424055e-03 -1.70463212e-02 -6.66657835e-02 5.08411452e-02 2.37364769e-01 -5.40694930e-02 -1.65248275e-01 -9.45521966e-02 5.64474612e-03 2.38527381e-03 2.33980596e-01 -2.07254272e-02 -8.42726156e-02 1.03791431e-01 5.29749356e-02 -7.22745713e-03 1.05706474e-03 -1.58871373e-03 4.00330275e-02 8.16918015e-02 -1.86457261e-02 -1.69323251e-01 1.47363786e-02 -6.66062757e-02 -1.14021823e-01 1.12758018e-02 -1.15897674e-02 2.12132465e-03 -1.37305692e-01 9.00958404e-02 1.19277136e-02 8.91690888e-03 1.90909281e-02 8.62848072e-04 5.63297654e-03 1.94094458e-03 -4.88795638e-02 4.06949595e-03 -4.27842326e-03 -4.06135572e-03 -9.93076116e-02 -3.59299546e-03 -6.61938451e-03 3.63062415e-03 -6.35785908e-02 1.11371256e-01 8.84819254e-02 -3.53776626e-02 -1.74709484e-01 5.23877181e-02 -9.62073449e-03 -1.23142451e-01 -2.04458516e-02 -1.23716779e-01 -9.89019200e-02 5.40502965e-02 -5.64747071e-03 3.63221718e-03 9.36436933e-03 7.55640352e-03 -1.56544559e-02 -8.76854956e-02 -2.24309531e-03 1.19991384e-01 1.55918607e-02 -2.35153083e-02 1.02591678e-03 1.10192597e-01 3.81725393e-02 1.74722746e-01 3.73209864e-02 3.85513948e-03 -1.85207615e-03 -2.33906895e-01 -9.63454694e-02 6.47075549e-02 4.07232670e-03 -8.77814193e-04 -2.09798571e-03 -1.44065022e-02 -1.51604280e-01 -1.14010669e-01 2.00163247e-03 -1.36240125e-01 2.35946596e-01 -2.65971152e-03 -8.36818144e-02 4.76778485e-02 -1.04575958e-02 -2.60765739e-02 1.02005497e-01 5.59556007e-04 1.28548127e-04 -2.17147812e-01 -3.81369106e-02 1.86053321e-01 1.06607862e-02 -1.78584605e-01 -2.31001377e-05 -1.38418555e-01 1.29623055e-01 -5.41493483e-03 -1.00697570e-01 -5.72553370e-03 -1.10806096e-02 1.82857782e-01 1.29837152e-02 5.30488230e-03 5.09520881e-02 -5.41494712e-02 1.01258911e-01 -1.72043033e-02] [-0.07207261 0.2272251 0.14940737 -0.01972162 0.00225105 -0.01268953 -0.00031362 -0.1433152 0.00238519 0.00806994 0.13719496 0.01284687 0.02359421 0.07241222 -0.0346438 0.09052819 0.00235674 0.07003719 0.03823474 0.18023233 0.1983141 -0.09450033 -0.16270967 -0.11888207 0.01304114 0.01474861 0.22432765 -0.00437663 -0.15971416 0.08770444 0.03320346 -0.02770674 0.00280485 -0.00581778 -0.17662019 0.09929196 -0.01389894 -0.17327347 0.01545743 -0.03083912 -0.06234381 0.00818828 -0.0061082 0.01163368 -0.08098485 0.10724139 0.00497513 0.02570937 0.02402966 0.00512837 0.01146438 0.0048283 -0.01884011 0.00671523 0.01951924 0.00685512 -0.03501171 -0.00186437 0.00028208 0.01633112 -0.09170734 0.23480968 0.11252829 -0.02618628 -0.17987116 0.10695898 -0.00858213 0.01239743 0.0016119 -0.10380246 -0.15159944 -0.06004183 -0.00159511 0.00202596 0.02059803 -0.00814527 -0.01297931 -0.10774205 -0.00567914 0.07587267 0.02551452 0.00103977 0.00696012 0.1582304 -0.00267712 0.07657338 0.03401415 0.01009086 0.0118882 -0.2121905 -0.06670025 0.13970052 0.01474738 0.01536754 0.00315694 -0.1653341 -0.12573963 -0.12661965 0.01370058 -0.02383434 0.24170785 0.03148114 -0.19145185 0.0426686 0.01689694 -0.03111491 0.07062802 -0.00623618 0.01781655 -0.20480922 -0.00264909 0.10849836 0.02201989 0.01078436 0.01040589 -0.0205008 0.07356322 -0.00047827 0.04087562 -0.01845865 -0.01137127 0.21611218 0.01825908 -0.01051771 -0.01343628 -0.01881084 0.0139666 -0.003525 ] Cos Similarity tf.Tensor(0.820403, shape=(), dtype=float32) (128,) (128,) [ 0.18002644 0.1680629 -0.07712348 -0.03476726 0.00210995 -0.00850073 0.0172346 -0.15768418 -0.00295609 -0.00310332 -0.13093705 -0.01181323 0.01680969 0.10762975 0.07090858 0.02670573 0.00477576 0.03315856 0.03630537 -0.20139027 0.00348406 0.04680827 0.03628591 -0.04045855 0.02045616 -0.00595749 0.0773308 0.00549198 -0.04290386 -0.03226441 -0.23409969 0.193625 0.02097138 0.00187362 0.05856231 -0.01636493 0.00266645 -0.01532752 -0.01857607 0.01038084 -0.21436189 -0.01282992 -0.00361239 -0.00362938 0.17227174 -0.02928124 -0.02321179 0.00881862 0.01192216 0.01177889 0.00537239 0.00846466 -0.01544278 0.01013126 0.00044056 0.00608511 -0.10902535 -0.00827259 0.00179521 -0.00290462 0.05300832 -0.11206091 0.0466386 0.00170483 -0.10378548 0.13185756 -0.00314261 -0.18435508 0.0064513 -0.16331488 -0.06428603 -0.11775283 -0.00819203 -0.00105119 0.00590202 0.01540587 0.06807198 -0.05115465 0.00474894 0.25426382 -0.01279482 -0.00767294 0.00924478 -0.20205133 -0.04687793 0.18994695 0.14057961 0.009221 0.00263634 0.17806087 0.01388409 0.18304697 0.01417193 0.008124 0.01901833 -0.16091074 0.0293632 -0.1796512 -0.00520894 0.17655417 -0.15307786 0.03161488 0.00530229 -0.04307719 -0.00838259 -0.00157609 0.13605854 0.02996864 0.00574857 -0.07448351 -0.00362447 -0.05430485 -0.01727986 -0.06812688 -0.01544466 0.08023863 0.1670656 0.00426372 0.06244541 -0.01158055 -0.00105384 0.21407312 0.01445531 -0.01479949 -0.11359725 0.10729505 -0.08118345 -0.00214937] [ 1.10053785e-01 2.33880907e-01 -8.79211426e-02 1.17091311e-03 3.41999787e-03 -6.24973653e-03 7.76375607e-02 -1.91041484e-01 1.44418539e-03 -5.22077642e-03 6.51770830e-02 -2.13031732e-02 2.00059079e-02 1.50817916e-01 3.89332436e-02 2.75750812e-02 1.68920178e-02 -4.42589633e-02 -1.04275674e-01 -2.01001525e-01 -1.58069823e-02 1.32183284e-01 1.36260344e-02 2.63439883e-02 1.75659265e-02 -8.29427876e-03 -1.00674883e-01 1.67884380e-02 -1.19622193e-01 -7.87159503e-02 -1.38893977e-01 1.67716518e-01 1.60874315e-02 1.41058909e-02 4.80294861e-02 -5.31231202e-02 8.17754189e-04 1.04408957e-01 -2.10204460e-02 -4.55873869e-02 -2.00111955e-01 -1.13924658e-02 -5.29196253e-03 -1.35191418e-02 1.94840699e-01 -2.25383088e-01 -1.72082055e-02 6.94002374e-04 1.55641846e-02 -6.42035948e-03 5.40565327e-03 4.63493634e-03 -1.27256587e-02 9.01872944e-03 8.57500359e-03 6.60349056e-03 -1.46262556e-01 -3.89079750e-03 -2.36783386e-03 -2.39559915e-03 2.66321842e-02 4.46623936e-03 -5.71447378e-03 -6.03207201e-03 1.74983833e-02 3.57160084e-02 -2.35736673e-03 -1.95563689e-01 5.75336348e-03 -1.61732897e-01 -3.20611373e-02 -1.52412504e-01 -6.69838209e-03 -2.06351327e-03 -5.79851447e-03 1.37863094e-02 -2.00596638e-03 -2.83356402e-02 -1.35776156e-03 2.41991475e-01 -7.83355068e-03 -4.30025812e-03 -1.86463830e-03 -2.18722150e-01 9.76393074e-02 7.92489201e-02 1.11801058e-01 6.13762019e-03 -2.44999566e-04 1.22164883e-01 -8.09378028e-02 3.65784392e-02 1.05718942e-02 1.76545419e-02 2.10107993e-02 -1.87867612e-01 -1.61060859e-02 -3.91012318e-02 -2.90675485e-03 1.31997064e-01 -2.02184603e-01 -2.33443268e-02 -1.62670147e-02 -1.52011186e-01 -1.92018636e-02 2.27048015e-03 -6.28686473e-02 2.02760324e-02 -2.25818134e-03 1.21016920e-01 1.50899941e-04 -1.24899335e-01 -1.93388350e-02 -2.94639152e-02 -1.64846703e-02 -1.84513703e-01 7.86133632e-02 1.35986321e-02 -4.76257838e-02 -1.52411312e-02 4.81125759e-03 1.91675156e-01 2.90064054e-04 1.03852348e-02 1.88122287e-01 9.36321169e-02 -2.84767468e-02 -9.39382799e-03] Cos Similarity tf.Tensor(0.68246627, shape=(), dtype=float32) (128,) (128,) [-1.11432977e-01 -8.14237073e-03 5.64991385e-02 -3.13899852e-02 -1.33124068e-02 -8.89127981e-03 5.92897981e-02 -8.70057419e-02 -3.06494394e-03 1.47558730e-02 -1.50396600e-01 1.41012296e-02 3.43429819e-02 -1.36703238e-01 9.36071426e-02 1.02083407e-01 9.73980874e-03 1.48671111e-02 -9.55434069e-02 -1.16694048e-01 -2.21323743e-02 1.78574994e-01 6.41802102e-02 1.38298884e-01 1.30779156e-02 1.29345963e-02 -1.72346100e-01 -5.34684258e-03 2.16044307e-01 1.62195146e-01 1.80899546e-01 -2.32544914e-02 2.06779034e-04 2.58870013e-02 1.75265297e-01 3.55171636e-02 1.90401655e-02 -1.22282855e-01 -4.67589274e-02 1.68356851e-01 -1.10416502e-01 9.90575925e-03 1.19544454e-02 5.35316914e-02 -4.96224314e-02 -1.56298116e-01 6.37369007e-02 1.02181155e-02 3.26811522e-02 2.22581644e-02 1.18686371e-02 -6.09947182e-03 5.22306226e-02 2.29510795e-02 5.93178198e-02 4.01856424e-03 1.01510249e-01 -1.15301041e-02 3.40600722e-02 3.96716110e-02 2.01411963e-01 1.70163751e-01 1.42024413e-01 4.26376909e-02 -1.04070008e-01 2.32469551e-02 5.97613677e-03 7.74536133e-02 1.79690961e-02 2.35653762e-02 -8.22844505e-02 -1.92995295e-01 9.39696748e-03 2.08569057e-02 1.00609167e-02 5.64113371e-02 -1.49026455e-03 4.61497307e-02 1.24054085e-02 -2.15643167e-01 1.80466026e-02 -2.00001914e-02 -4.55009006e-03 9.37372223e-02 -6.48631901e-02 -5.69108948e-02 4.80177924e-02 2.78792810e-02 8.84383824e-03 -9.31372046e-02 6.39810190e-02 -1.76194504e-01 2.41597518e-02 3.19135822e-02 2.52903253e-03 -3.02259736e-02 2.00442061e-01 -1.46571696e-01 -3.01956828e-03 4.22642753e-02 -7.42745847e-02 1.07761972e-01 -8.52201432e-02 -1.02666065e-01 -7.71092367e-04 1.07668303e-02 1.30842596e-01 2.06994712e-02 4.39221151e-02 1.19404562e-01 -1.40284002e-01 -2.40655020e-02 1.69626269e-02 -9.39196125e-02 -3.12747285e-02 1.07061163e-01 -2.04981953e-01 3.04049943e-02 -1.76242083e-01 1.75848380e-02 -3.96247907e-03 8.41299593e-02 5.50209619e-02 -7.09353853e-03 1.33610666e-02 8.37693438e-02 9.83107388e-02 -8.26048292e-03] [-0.17439735 -0.05491786 0.06988686 -0.13292469 -0.0338402 -0.06547377 -0.1070237 -0.01988312 0.00689045 0.01120767 -0.17843711 0.02636958 0.03643044 -0.08033611 -0.09823877 -0.06085066 0.00350139 0.01298264 -0.13045305 -0.00436026 -0.02661283 0.16293326 0.05323411 0.00489962 -0.00937494 0.0066146 -0.15718402 0.01945105 0.11201405 -0.07621934 0.103495 -0.01832748 -0.03984611 0.00864485 0.17264755 -0.00210061 0.0299356 0.06191246 -0.01241578 0.19668907 -0.01629351 -0.01043555 0.01891571 0.01309305 -0.1651939 -0.06091134 -0.09903549 -0.00248613 0.02301681 0.0166136 0.00264267 -0.00423727 0.0221184 0.00416657 0.02994915 0.02436025 0.1998514 -0.02637412 0.02164451 0.02129481 0.21702625 0.18165365 0.17863627 0.02312558 -0.07819641 -0.00123718 0.00178242 0.20791864 0.02794941 0.12555952 -0.02564798 -0.22486319 -0.00306799 0.02379568 0.02376971 0.04303712 0.18442044 0.18359244 0.0188855 -0.2294839 0.01857807 -0.01828706 0.00489748 0.03027343 -0.13019052 0.00821346 0.00054724 0.02776415 0.00433503 -0.02837221 0.20910819 -0.09859468 0.01846213 0.02904673 0.00922252 -0.08461139 0.13308181 -0.06748 -0.0021077 0.00432905 -0.10022774 -0.06929407 -0.05958133 -0.1125512 -0.00514999 -0.03576748 -0.02973802 -0.00995596 0.04084529 0.15907356 -0.03700313 0.14515568 0.01072052 -0.0519007 -0.04534629 0.04437562 -0.16433746 0.00956182 -0.11247271 -0.00206869 -0.00395214 0.06059128 -0.0152043 -0.0010432 0.0277251 0.12159817 0.05632538 0.00278105] Cos Similarity tf.Tensor(0.69270587, shape=(), dtype=float32) (128,) (128,) [-0.08899847 0.14760134 0.06515329 0.18552351 0.008208 0.01337018 0.21416189 0.17686929 0.0019931 -0.00616881 -0.17453879 0.00299118 0.0032607 0.1634341 0.08776598 0.0566948 -0.00024147 0.20197985 -0.17670478 -0.19501202 -0.19222027 0.10814458 0.03133425 0.01991204 0.02258893 -0.00546326 -0.071647 -0.00575108 0.1349229 -0.21213338 -0.01232691 -0.15583493 -0.02385072 -0.00783977 0.03001453 0.00888124 -0.00286855 0.04345013 -0.01555858 -0.01147164 0.07592054 0.00632588 0.001087 -0.00760258 0.00676818 0.10006061 0.17950103 -0.00251119 0.00214503 0.01136563 0.00606354 0.01328259 -0.00181189 0.00038124 0.00144553 -0.00668643 0.1593484 -0.00244082 -0.00457707 -0.00394462 0.01657209 0.07271123 -0.12501983 -0.01122376 -0.08648233 -0.09993072 -0.00790912 -0.00590219 -0.00792304 -0.18197666 0.05157519 0.09858903 0.01095203 0.01318458 0.00618837 -0.00413026 -0.00773686 -0.01043868 -0.0004284 0.0826663 -0.01998398 0.00509553 -0.02180737 0.02805053 -0.10952102 -0.08715115 0.03045305 0.00179727 -0.00504509 -0.03001531 -0.09685275 0.14476752 -0.0106759 0.01581707 0.01336225 0.13701609 -0.05588846 0.16993901 -0.0034284 -0.19587174 0.18855818 0.19148953 -0.16481674 -0.03482277 -0.00245048 -0.01874187 -0.17447849 0.00587308 -0.01470845 0.10079869 -0.17512235 0.04278316 -0.00411505 -0.16680692 0.00145432 0.10111947 -0.02472273 0.00564706 -0.02716008 0.00692626 -0.00944184 0.06459603 0.00032716 -0.0160209 0.0349417 0.01624835 0.00562657 0.00102206] [-1.67474657e-01 1.53480336e-01 1.01173811e-01 1.40885293e-01 5.48412511e-03 -1.22486567e-02 2.06891254e-01 1.98559716e-01 -4.17037681e-03 -9.19408072e-03 -1.64546698e-01 2.53415876e-03 -3.59697430e-03 1.45420209e-01 9.87435877e-03 5.37092015e-02 -1.71520538e-03 1.89444050e-01 -1.16985641e-01 -1.59443900e-01 -1.37185887e-01 1.57629661e-02 -1.01595849e-01 4.45511565e-03 1.79596841e-02 -7.17367930e-03 -1.55247403e-02 -1.86866336e-02 1.12685300e-01 -2.14820147e-01 -1.74594130e-02 -5.91621809e-02 -1.72572080e-02 -1.23208473e-02 -9.91257373e-03 3.85811515e-02 -2.21180287e-03 3.91314887e-02 -1.34777054e-02 3.36393667e-03 1.01184137e-01 3.30323773e-03 -2.49402062e-03 1.94434382e-04 -1.35539860e-01 1.59071311e-01 1.89959735e-01 -2.26129428e-03 4.74886270e-03 1.28825586e-02 7.78974546e-03 1.40656466e-02 -5.11764921e-03 2.46191805e-04 -1.23709599e-02 -5.29896235e-03 1.46808490e-01 -9.09195654e-03 3.20496573e-03 -4.30854829e-03 6.20751642e-03 -5.91120385e-02 -1.13067523e-01 -1.08204735e-02 -1.80165678e-01 -6.78654090e-02 -8.93285405e-03 -1.09709054e-02 -9.83616896e-03 -1.78948045e-01 5.66557311e-02 1.12551682e-01 1.11567751e-02 1.09584387e-02 5.11555327e-03 -2.04394036e-03 -8.91412701e-03 -1.27343357e-01 6.37879712e-04 1.71228364e-01 -1.68148689e-02 -1.29169459e-03 -1.76781770e-02 3.50960046e-02 -6.12445176e-02 -9.86452475e-02 -4.01154347e-02 5.46612311e-04 -9.37420130e-03 -1.65130883e-01 -8.54751393e-02 8.73745047e-03 -6.37333887e-03 1.57578290e-02 1.45027777e-02 3.73622999e-02 -6.39173239e-02 1.61621869e-01 -7.25994678e-03 -1.88404575e-01 8.59163180e-02 1.76251695e-01 -1.80876434e-01 -9.76723060e-02 -1.08535672e-02 -2.14849357e-02 -2.01843441e-01 2.58878048e-04 -2.41092015e-02 1.00479126e-01 -1.72502354e-01 4.65108305e-02 -9.88095999e-03 -1.45004734e-01 4.36866879e-02 8.40184540e-02 -3.01208980e-02 1.62912242e-03 -2.75297184e-03 -5.36675612e-03 -9.10118502e-03 1.53189868e-01 -1.45093875e-03 -4.11293795e-03 1.15931213e-01 1.75148714e-02 -2.39626449e-02 -1.18687400e-03] Cos Similarity tf.Tensor(0.88431716, shape=(), dtype=float32) (128,) (128,) [-0.00024427 -0.01063636 -0.00435766 0.10598945 -0.00525436 -0.02060829 -0.10453957 0.01730728 0.0077811 -0.00297185 -0.16965249 0.00686585 0.01368799 0.14654128 0.12569548 0.15880232 0.00072615 0.16143449 0.09177633 -0.09493891 -0.14548968 -0.05881157 0.16153084 0.15509869 0.01270184 -0.00146752 0.09587201 0.01245714 -0.14153805 -0.11519783 0.10722902 0.04708905 0.00887625 0.00959965 0.0877373 0.00218303 -0.00121705 0.09124469 -0.00550821 0.12932155 0.163679 0.00350195 -0.00962528 -0.01510263 0.1251123 -0.16441882 -0.1327598 0.000337 0.00492897 -0.0028598 0.00032051 0.01223934 -0.00527907 -0.00261325 0.0060824 0.00308545 -0.04392793 0.01064321 -0.00693773 -0.01332658 0.07730805 -0.15674233 0.151751 -0.00123327 -0.14687559 0.09595252 0.00476471 0.09099998 -0.00991788 0.17235686 0.14436258 -0.0772267 -0.00863128 0.01204683 0.01017615 0.00695143 -0.17099342 -0.13931988 -0.00824703 -0.08113972 -0.00893905 0.00311608 0.01410571 -0.04345188 0.03914678 -0.1251892 -0.01692164 0.00632414 0.00118016 -0.17273206 0.09906612 0.07769829 0.00561982 0.00653949 0.00286759 -0.14353698 0.1710628 -0.03012447 0.00885859 -0.0213051 0.1737656 0.1381696 0.04956153 0.13416412 0.00046581 0.00333159 0.13923264 0.01575938 -0.01258739 -0.18203016 -0.1848595 -0.04331936 0.00120394 0.11767147 0.0936818 0.08818509 0.14789814 0.0013348 0.06875416 0.00608414 -0.00236913 0.14739057 0.00762909 -0.01038156 0.12068402 -0.02651562 -0.11383925 0.00589508] [-1.54836595e-01 -1.24770105e-01 -3.91682936e-03 3.32939811e-02 -5.90096368e-03 -2.52798405e-02 1.03896763e-02 3.85236368e-02 -5.11017954e-03 -1.21882781e-02 -2.07969010e-01 1.48235178e-02 7.30409240e-03 2.02730969e-02 5.69190085e-02 -1.97186619e-02 -1.54436135e-03 -1.74612656e-01 1.76644892e-01 -9.88332480e-02 -4.61066328e-02 -4.07119393e-02 -3.34187178e-03 1.69869021e-01 -4.18545539e-03 1.10702799e-03 8.84106010e-02 -1.20336264e-02 -2.24570632e-01 1.32769957e-01 1.06682263e-01 1.02290466e-01 1.50643382e-02 -1.40593918e-02 1.47000208e-01 -1.41288154e-02 -1.87569410e-02 1.66798562e-01 2.65886681e-03 1.81459412e-01 1.09347805e-01 5.23477606e-03 -1.55441547e-02 -1.79571435e-02 1.09410129e-01 -1.71064451e-01 1.35285616e-01 -9.48364567e-03 4.04098816e-03 -8.02366249e-03 2.12285458e-03 5.54200122e-03 -2.24512480e-02 -1.19896198e-03 -1.67034883e-02 1.09928409e-02 3.89391519e-02 -4.42181109e-03 -4.91175288e-03 3.62358615e-03 -2.46535782e-02 -1.09231561e-01 4.84465994e-02 1.26362052e-02 -1.34538829e-01 1.79225743e-01 -5.55610983e-03 4.96534891e-02 -8.54503829e-03 -1.01259276e-01 1.04378350e-01 9.15881023e-02 -6.66431431e-03 1.06491521e-02 -1.86903309e-02 5.99198835e-03 -1.53111741e-01 5.54205477e-03 -1.52755738e-03 8.67048576e-02 -5.94356889e-03 -1.23185024e-03 7.87976757e-03 4.80746180e-02 -1.34462014e-01 -1.22285761e-01 1.51407018e-01 5.47826709e-03 -8.11262429e-03 -1.94063112e-01 -3.47894393e-02 -1.28748372e-01 -6.13141456e-05 8.22101533e-03 4.33348399e-03 1.34318128e-01 -6.71845749e-02 -8.05373639e-02 -1.81131251e-02 1.22637585e-01 -2.01067254e-01 4.48936448e-02 2.16320306e-02 1.93303986e-03 -2.00917590e-02 1.72843065e-04 5.64344786e-02 3.81654711e-03 -9.42872930e-03 -1.72715485e-01 -1.70105383e-01 -1.72512919e-01 3.01024108e-03 1.76258847e-01 -2.53077000e-02 -1.55029446e-01 1.54238030e-01 -1.10159488e-02 8.30050260e-02 -1.69668086e-02 -6.46143034e-03 4.10051718e-02 1.28248762e-02 -9.89838503e-03 -1.79527581e-01 -4.65680920e-02 -5.87995350e-02 -9.41453129e-03] Cos Similarity tf.Tensor(0.35719147, shape=(), dtype=float32) (128,) (128,) [-1.72508825e-02 -1.61135029e-02 8.90940502e-02 6.43199235e-02 -1.84033476e-02 -7.60950074e-02 -1.41784266e-01 -1.90578908e-01 -4.42097802e-03 -4.31033829e-03 -1.49763316e-01 -3.79371829e-03 1.95948407e-02 -1.18827879e-01 3.35283913e-02 -1.12411298e-01 1.65661226e-03 8.81080553e-02 1.59326643e-01 -3.01547255e-02 8.02141428e-02 -1.38873696e-01 1.70065656e-01 -6.73015183e-03 1.27552617e-02 1.20017590e-04 6.77026585e-02 -2.03022268e-02 9.34345126e-02 -1.57697573e-02 -2.11584017e-01 6.74120933e-02 -3.70880793e-04 4.56883013e-03 1.53835416e-01 -8.59812740e-03 -2.98224948e-03 -1.49583146e-01 -3.80503363e-03 -1.21031329e-01 1.23961540e-02 -8.03831313e-03 -9.13548935e-03 1.19744344e-02 -7.35614598e-02 1.56766355e-01 2.37709377e-02 8.10975954e-03 1.06659252e-02 1.38449529e-02 5.65607380e-03 -2.56681902e-04 -2.00043488e-02 5.26722753e-03 -1.60895549e-02 -1.90907216e-03 6.02142233e-03 6.74801599e-03 6.82487525e-03 7.70422339e-04 -4.49308269e-02 -1.12147316e-01 2.26733312e-02 -4.04879451e-03 -1.55014440e-01 3.67608070e-02 -8.38163216e-03 -1.51480615e-01 -1.40013909e-02 1.20266564e-01 -5.70018589e-02 5.21829650e-02 1.55591941e-03 3.52627737e-03 -8.05757008e-03 1.02392798e-02 -5.67565560e-02 3.07482257e-02 -5.15386090e-03 -7.67644681e-03 -1.15170405e-04 -1.32157258e-03 9.46113095e-03 -8.84528458e-03 -1.99236944e-01 8.77688900e-02 -8.98084491e-02 5.98306884e-04 3.91088455e-04 1.49381235e-01 2.50544026e-02 2.00605780e-01 1.16444780e-02 6.45249011e-03 -9.64324165e-04 1.99120596e-01 -1.14222080e-01 -2.05489263e-01 -4.97634849e-03 -1.10214673e-01 1.42901048e-01 -9.17935073e-02 1.68617398e-01 1.68523729e-01 -2.04955996e-03 -1.03050601e-02 2.08005860e-01 1.48373265e-02 6.87200809e-03 -2.02404514e-01 -4.79407497e-02 -1.65371463e-01 -1.53890885e-02 3.70905772e-02 4.08467799e-02 1.59583449e-01 1.07636139e-01 -4.00575390e-03 1.57684699e-01 -1.81549042e-02 4.46905475e-03 1.31594092e-01 2.09351256e-02 -2.10658666e-02 -1.64741695e-01 4.99105603e-02 -2.84756236e-02 -4.46443167e-03] [ 1.32493868e-01 -5.21779731e-02 1.80945378e-02 -4.37426083e-02 -1.98483393e-02 -8.88198614e-03 -2.60656606e-03 -5.75101562e-02 -6.24445779e-03 -4.60191490e-03 -2.05551013e-01 5.90925151e-03 9.29500815e-03 -1.11869253e-01 2.19303872e-02 -1.27655625e-01 6.92126458e-04 -7.24893957e-02 1.69966117e-01 -4.64496724e-02 -5.54259382e-02 -5.78095727e-02 1.51404962e-01 -3.66700552e-02 -2.76266102e-04 1.21295238e-02 -7.29813352e-02 -2.09312290e-02 1.72693357e-01 5.51587716e-02 -1.70844838e-01 2.09748298e-01 3.08664329e-03 1.70241036e-02 1.01322599e-01 -1.18601574e-02 1.07629271e-02 -6.81762174e-02 -1.30009064e-02 -1.11314908e-01 1.65296972e-01 -6.73376303e-03 9.73157701e-04 -7.27580255e-03 -1.64404809e-01 3.84061448e-02 9.06213075e-02 1.77617241e-02 1.79700218e-02 2.74027307e-02 8.10722075e-03 6.73205778e-03 9.31356754e-03 1.39374025e-02 -7.15207355e-03 1.16173355e-02 -7.44468942e-02 1.94072854e-02 1.62374284e-02 -9.48847458e-03 -7.01572374e-02 -3.85203995e-02 -5.23281458e-04 -1.29564824e-02 -4.38880064e-02 -2.67664138e-02 -5.04047051e-03 -1.64095566e-01 -6.18387247e-03 1.75921485e-01 -4.89773452e-02 6.58621490e-02 -2.05767644e-03 4.24999464e-03 1.14339986e-03 1.65351778e-02 1.64119884e-01 6.46958053e-02 5.15227253e-03 1.53280273e-02 4.55806730e-03 -1.32009480e-02 1.13171376e-02 -1.23979539e-01 -1.42493740e-01 1.86970413e-01 -1.41905859e-01 1.08295763e-02 -8.41193553e-03 1.67857885e-01 1.22288905e-01 8.34001601e-02 1.57895498e-02 4.39614942e-03 3.94972274e-03 1.48917675e-01 -1.59916505e-01 -1.92382321e-01 4.04415466e-03 -1.03062928e-01 1.55872792e-01 -5.82614243e-02 9.96987522e-02 9.28517580e-02 1.11184362e-02 9.28990357e-03 1.91604525e-01 7.75403157e-03 1.21538667e-02 -2.16025680e-01 6.55096397e-02 -1.77375913e-01 1.14156734e-02 -8.11069161e-02 -7.09198266e-02 1.05380438e-01 1.40908509e-01 -2.13086419e-02 1.82608530e-01 6.65666303e-05 6.57801575e-04 -6.82913810e-02 2.59083565e-02 -2.36469209e-02 -1.70147389e-01 4.55098823e-02 -2.67894845e-02 -7.80384010e-03] Cos Similarity tf.Tensor(0.7529706, shape=(), dtype=float32) (128,) (128,) [ 1.32145882e-01 -6.56377673e-02 -2.68479176e-02 -1.05022468e-01 4.24662717e-02 -6.54857159e-02 1.15982495e-01 -2.87138689e-02 -1.44499671e-02 2.74606552e-02 8.05963278e-02 -2.60820761e-02 5.76180741e-02 -1.08526677e-01 4.33437154e-02 1.66361123e-01 3.33037153e-02 1.67762741e-01 1.10679209e-01 -7.49162361e-02 1.33256167e-01 -1.02636717e-01 -8.08338970e-02 8.21080133e-02 5.63319735e-02 1.14341835e-02 2.05570143e-02 -2.85439361e-02 1.79770023e-01 1.12346023e-01 1.13250487e-01 1.97636247e-01 3.20791155e-02 -2.03965902e-02 -2.13841405e-02 -1.01906722e-02 5.49742058e-02 -4.11876896e-03 -1.27545651e-02 9.84078422e-02 -1.62989408e-01 2.37893965e-02 1.50176659e-02 5.25727496e-03 -1.56746611e-01 -4.39988673e-02 -1.07692286e-01 -2.60107499e-03 3.89419571e-02 4.82622944e-02 1.77379157e-02 -5.39946649e-03 5.07497750e-02 3.73851061e-02 3.76609005e-02 2.61397660e-02 1.35798872e-01 -4.18177135e-02 -6.31652353e-03 3.00408769e-02 -4.63675596e-02 -1.63934246e-01 1.97461709e-01 7.29613677e-02 3.16183530e-02 2.02348888e-01 9.67309810e-03 3.74140330e-02 3.52609232e-02 -1.47108346e-01 -4.24271747e-02 1.51806384e-01 1.20261787e-02 -2.66677258e-03 -1.92212537e-02 6.34165034e-02 1.77413031e-01 7.45808184e-02 -1.56296026e-02 -8.03230479e-02 1.07968703e-03 -1.48498248e-02 2.08218787e-02 1.02600805e-01 -1.82838783e-01 5.25047332e-02 -1.83469232e-03 2.61372905e-02 5.95455233e-04 -1.45907709e-02 -1.35394424e-01 1.53517768e-01 4.74476367e-02 3.64335142e-02 2.35202368e-02 6.62785769e-02 2.46763565e-02 -9.66221020e-02 2.51828460e-04 7.90749639e-02 7.31896702e-03 1.55470893e-01 -1.66808173e-01 -1.77145869e-01 2.11439896e-02 4.49009351e-02 1.12617478e-01 2.06681695e-02 6.00876883e-02 -2.13545516e-01 1.08005047e-01 -1.78082719e-01 6.57645240e-03 -7.23968667e-04 -3.41547914e-02 1.80404894e-02 1.46945029e-01 -2.95053096e-03 6.96734190e-02 5.70107986e-05 1.94623414e-03 1.83928777e-02 2.30017286e-02 4.06023534e-03 -2.06162751e-01 1.88451391e-02 -1.54730817e-02 -1.55479200e-02] [-0.0228857 -0.14234868 -0.01709771 -0.11684718 0.03259122 -0.04985193 0.07520933 0.01845975 -0.01764069 0.03587245 0.03198168 -0.01068485 0.02286622 -0.01729481 0.16630006 0.15763143 0.02164155 -0.02977595 0.07113365 -0.0363835 -0.15187958 -0.07618211 0.119836 -0.00139336 0.01724782 0.00814653 0.19920297 -0.02463183 -0.16361424 -0.08843639 -0.16194819 0.20843957 0.03814039 0.01186925 0.13477334 0.00729539 0.05398533 0.00596541 -0.03562572 0.15147947 -0.02491299 0.03128363 0.00300552 -0.00885389 -0.053482 -0.2129114 0.11888798 0.01175341 0.02621579 0.05874267 0.01405064 -0.00290159 0.06504942 0.03473102 0.06692317 0.02838705 0.05399102 -0.04333787 0.02294154 0.02597059 0.15485965 -0.13893223 0.22488274 0.06894124 -0.00348207 0.11978889 0.02453678 0.17071596 0.04337117 0.01653809 -0.03165466 0.07407194 0.02081364 0.01888382 0.01083751 0.02514016 0.1407973 -0.0693597 -0.02222019 -0.15808816 -0.00798446 -0.05179124 0.01627266 -0.02504813 -0.15481625 -0.00191567 0.18562536 0.03067419 -0.00230948 -0.18630265 0.02514723 0.10042638 0.04537921 0.0674193 0.06447774 -0.14291845 0.02887963 0.02050994 -0.00303468 -0.02482224 0.09050819 -0.12510355 -0.05092688 0.01159061 0.00068722 0.05374362 -0.14814591 0.0091013 0.02804533 -0.13722534 -0.15765986 -0.12195833 0.02053939 -0.1313044 -0.06448144 0.08722111 -0.11885794 -0.01361495 -0.15208198 0.02424327 0.03884787 0.01341238 0.02562342 0.00432428 -0.2040023 0.03569908 0.05512209 -0.02165632] Cos Similarity tf.Tensor(0.29954654, shape=(), dtype=float32) (128,) (128,) [ 9.24950615e-02 2.40507677e-01 -2.16731597e-02 7.44921789e-02 8.11850186e-03 4.57149446e-02 7.03431889e-02 -5.84551087e-03 1.88174658e-03 -7.88560510e-03 -1.17392510e-01 -1.15962652e-02 9.14576091e-03 1.14728481e-01 -5.81775643e-02 -2.92653330e-02 -1.67926680e-02 -1.36817738e-01 1.30282238e-01 -1.31641746e-01 1.31281372e-02 -1.13180146e-01 9.80006903e-02 9.31970868e-03 -5.41833404e-04 3.46781872e-03 8.70185643e-02 -9.29327868e-03 1.41525418e-01 -6.26155883e-02 1.79800335e-02 4.29529175e-02 2.03097481e-02 1.12582138e-02 1.76187992e-01 -2.66200490e-03 8.65283422e-03 1.66040808e-01 -1.26034574e-04 1.10281445e-01 4.22198065e-02 -1.32565973e-02 -2.16545319e-04 6.75063580e-03 -1.43814813e-02 -2.70118304e-02 -1.87433451e-01 1.14208236e-02 4.39571100e-04 -2.84076552e-03 5.58644882e-04 5.73970238e-03 5.83402161e-03 1.92604819e-03 4.26480826e-03 3.82504100e-03 1.30175173e-01 -9.22136661e-03 7.78089603e-03 -5.35559747e-03 -1.77854419e-01 1.21718921e-01 2.46378213e-01 -1.68010704e-02 3.61636169e-02 -6.14781491e-02 -1.09424498e-02 2.71505378e-02 -1.63850058e-02 1.57034770e-02 4.55755694e-03 -1.99969515e-01 1.89210498e-03 4.44289669e-03 -2.77266197e-04 7.97385629e-03 3.83991152e-02 -1.59793720e-01 4.34288959e-04 -5.59101403e-02 -7.55539280e-04 -5.31892404e-02 -4.33980068e-03 -2.59004869e-02 -1.02266878e-01 2.99304388e-02 -2.26363018e-01 1.53202740e-02 2.83100898e-03 1.62698135e-01 -1.59106568e-01 -5.84209226e-02 -2.19034757e-02 3.96065123e-04 2.41036434e-03 7.98869208e-02 1.08307980e-01 -1.33793026e-01 -8.66862014e-03 -2.58824617e-01 -9.17344242e-02 -4.16160263e-02 -1.83160573e-01 6.82952777e-02 -1.35022290e-02 -5.62377553e-03 1.57421768e-01 -7.99517089e-04 -1.72245856e-02 -4.42951880e-02 1.88266739e-01 1.74735859e-01 6.65116729e-03 -1.72971144e-01 -6.48205355e-02 -7.88540244e-02 8.31662118e-02 -7.16843223e-03 -7.91903865e-03 -2.00360231e-02 -1.20009598e-03 9.10828914e-03 -4.02282225e-03 -3.55804190e-02 -2.15636805e-01 6.80249184e-02 3.08541190e-02 -1.69542190e-02] [-0.06647669 0.19647565 -0.01208578 0.02872856 -0.00289569 0.0010007 0.17470054 -0.03841613 -0.00643315 0.00624849 -0.26703018 -0.01967062 -0.00127297 -0.1329328 0.01227338 -0.12303283 -0.02931897 -0.19197546 -0.06612744 -0.06108657 -0.03036148 0.00874828 0.10422462 0.07177455 0.02718537 0.00990383 0.16681243 -0.04519599 0.09810131 -0.03473318 -0.1143685 0.02704629 0.02209921 -0.00256592 0.07299732 0.01938859 0.01065729 0.10041293 0.01986511 -0.09029298 0.20705694 0.00397233 0.00955631 -0.00051931 -0.07636909 -0.03873671 0.03016197 0.01044248 0.00324773 0.00525961 0.01853616 0.00453742 0.02794354 0.00390795 0.01508368 -0.00338412 0.00751111 -0.01758889 0.00806802 0.01612897 -0.16604756 -0.02309196 0.26733926 0.00354425 0.10966842 0.00270391 -0.03010074 0.17493398 -0.00399884 -0.0633176 0.01106632 -0.24563983 0.00665838 0.00163508 0.00975584 0.02119865 0.13278365 -0.16621882 -0.00046483 -0.03920155 -0.02470539 -0.01125336 -0.0029286 -0.05931203 -0.04587255 0.14909524 -0.11462127 0.02328013 -0.00737529 0.16401449 -0.11444189 -0.01004505 -0.01292919 0.02319013 -0.00726972 0.06560126 0.10332915 -0.13404754 -0.01035406 -0.0322273 -0.05484283 0.10685214 0.08185598 0.10322096 -0.01566789 -0.0184393 0.06021847 0.00067778 -0.02016748 -0.06389138 0.17152698 0.1560317 -0.00286552 -0.1863432 -0.00779156 -0.02289389 0.01229527 0.00454843 0.08949127 -0.01031094 -0.00731107 0.18273118 0.02652453 -0.02318802 -0.17050606 0.07559767 0.20399052 -0.03821106] Cos Similarity tf.Tensor(0.62893367, shape=(), dtype=float32) (128,) (128,) [ 1.6807463e-03 -1.6019952e-04 8.5734323e-02 1.4104667e-01 -3.7379701e-02 1.2438153e-03 -2.4876041e-02 -1.7526290e-01 -6.8224398e-03 -7.2922506e-03 -4.3662123e-02 -5.6451289e-03 3.2580770e-03 -1.4958413e-01 1.1623773e-01 5.5650014e-02 8.1221107e-03 2.1135573e-01 1.5098371e-01 -2.0222402e-01 -1.2473254e-01 -3.5716616e-02 2.0657711e-01 -1.2028068e-01 6.5243985e-03 -3.1013030e-03 1.5409544e-01 -6.5896092e-03 -3.2494169e-02 4.7119781e-02 -1.8000491e-01 1.9987699e-01 -8.1559154e-04 -7.9686455e-03 8.9189015e-02 -4.9593714e-03 -1.0688887e-02 -1.9573641e-01 -9.1610691e-03 -1.1034882e-01 4.5198373e-02 5.8261682e-03 -8.1957178e-03 -8.9845370e-04 -9.7289212e-02 -1.3087362e-01 5.2334823e-02 1.3409655e-02 1.4589449e-02 1.8081948e-02 6.1421124e-03 4.3311063e-03 -1.8507820e-02 9.7193029e-03 -5.7031927e-03 2.0499856e-03 8.5519232e-02 6.6404101e-03 2.2844570e-03 -1.5339295e-02 8.0065548e-02 -1.4961150e-01 -3.1721450e-02 -1.9155394e-02 -1.9042455e-01 -8.2160406e-02 -1.5713260e-02 1.2926887e-01 -1.1685599e-02 -9.8166481e-02 -7.5858518e-02 -4.2691901e-02 5.8085425e-03 2.4772997e-03 -1.6566036e-02 1.6408658e-02 8.8752344e-02 -5.0442167e-02 -9.5715758e-04 -6.5006778e-02 -2.0020339e-03 7.1243144e-04 7.6599075e-03 -1.0056092e-01 3.5748110e-04 7.4110180e-02 5.1086266e-02 9.2190495e-03 -3.9501400e-03 8.1365839e-02 4.9694318e-02 -9.0100043e-02 2.8311426e-03 3.9867056e-04 7.0253559e-03 6.9023542e-02 4.4343214e-02 -1.3468459e-01 1.6979183e-03 -3.5529587e-02 1.6453321e-01 6.4460649e-03 2.1495531e-01 1.6767518e-01 -9.5582930e-03 -3.5304623e-03 1.7167754e-01 1.6800990e-02 5.1558348e-03 -2.0891421e-01 1.8772544e-01 -1.9784863e-01 5.3435978e-03 -1.2346957e-01 -8.6951911e-02 1.2494705e-01 -4.7955513e-02 -3.1029573e-03 -9.2358127e-02 -1.8653274e-02 7.3032273e-04 -1.2303151e-01 2.6812000e-02 -2.5950521e-03 -1.1415159e-01 5.3880230e-02 -5.2615736e-02 -3.3432930e-03] [ 7.22257746e-03 -1.52886882e-02 8.46003592e-02 1.59184545e-01 -3.92723419e-02 9.43929947e-04 -3.03237718e-02 -1.72396034e-01 -4.91054635e-03 -7.69872265e-03 -4.56413180e-02 -6.59348955e-03 -1.93090855e-05 -1.50236621e-01 1.21132553e-01 6.96879774e-02 4.30344744e-03 2.16577679e-01 1.50827751e-01 -2.09362075e-01 -1.27923727e-01 -3.84953246e-02 2.10010186e-01 -1.19905025e-01 1.97150162e-03 -3.22988047e-03 1.53007507e-01 -8.62176251e-03 -3.70292850e-02 5.49508259e-02 -1.79755047e-01 2.03777298e-01 -1.99608202e-03 -3.18308268e-03 8.03508013e-02 -1.94333727e-03 -1.13575887e-02 -1.91667318e-01 -6.50736596e-03 -1.19374953e-01 4.27006148e-02 5.77105721e-03 -8.32257140e-03 -1.52198994e-03 -7.74293244e-02 -1.24698073e-01 6.87706470e-02 1.02902846e-02 1.43548222e-02 1.59840044e-02 4.49823216e-03 4.58049541e-03 -1.90244354e-02 6.64734095e-03 -1.08832214e-02 1.98085653e-03 8.12356248e-02 4.93595144e-03 3.83581663e-03 -1.86772943e-02 9.88566503e-02 -1.49794966e-01 -4.88586212e-03 -1.82695892e-02 -1.90453097e-01 -9.54486802e-02 -1.63482893e-02 1.29310653e-01 -1.53248534e-02 -1.00388043e-01 -3.56403477e-02 -4.56808917e-02 5.44813741e-03 3.52188246e-03 -2.16868073e-02 1.04072075e-02 8.81788284e-02 -4.49051447e-02 -1.01073214e-03 -7.04667270e-02 -9.95890610e-03 6.43143023e-04 9.32849571e-03 -7.93563053e-02 -6.39469689e-03 5.54147512e-02 8.01301301e-02 5.50587662e-03 -4.71014902e-03 8.01577196e-02 4.11189944e-02 -7.41632730e-02 -4.16288571e-03 3.47051723e-03 3.97908082e-03 8.24337155e-02 4.21808138e-02 -1.32720381e-01 1.47778002e-04 -2.93365121e-02 1.67621166e-01 1.89925695e-03 2.15459332e-01 1.61155865e-01 -1.16622346e-02 -1.85632706e-03 1.65939197e-01 1.74893215e-02 8.75107769e-04 -2.08669737e-01 1.84916466e-01 -2.00858548e-01 1.63815077e-03 -1.01071224e-01 -8.67059603e-02 8.27570632e-02 -6.38074800e-02 -6.73804199e-03 -9.73928422e-02 -7.21407961e-03 2.93519674e-03 -1.22229077e-01 2.39152815e-02 -4.06190893e-03 -1.19050831e-01 3.33317295e-02 -9.35695320e-02 -7.78307952e-03] Cos Similarity tf.Tensor(0.99371433, shape=(), dtype=float32) (128,) (128,) [-1.51074558e-01 -6.73937201e-02 5.17494567e-02 -1.00112267e-01 9.18084476e-03 -1.71176041e-03 2.01403603e-01 1.89082980e-01 -9.34061536e-04 -1.28890583e-02 -2.01686054e-01 1.16263713e-04 -2.38708165e-02 1.35273144e-01 6.74577104e-03 -1.05562471e-01 6.28105691e-03 -3.93930860e-02 -2.60820915e-03 -1.53474122e-01 -1.77612945e-01 -1.64390981e-01 -7.73561969e-02 1.04459055e-01 2.00631805e-02 4.28812252e-03 -1.50193214e-01 2.23840447e-03 -1.51178539e-01 -1.46059766e-01 -1.85394779e-01 -7.02729076e-02 -7.88986776e-03 1.06868548e-02 1.56825975e-01 5.30513423e-03 8.54984205e-03 1.51337190e-02 -6.56599784e-03 1.21855237e-01 -1.53322205e-01 -3.19776474e-03 -1.33412220e-02 -2.30720732e-02 1.49145976e-01 1.96997806e-01 -9.52221155e-02 4.63421876e-03 5.92824584e-03 4.04947344e-03 4.53393301e-03 5.88609651e-03 5.76397823e-03 7.25082029e-03 1.34194465e-02 1.09304059e-02 -1.36953130e-01 -2.40872800e-03 1.02147879e-02 1.51722897e-02 1.58576772e-01 1.15902275e-01 1.19274668e-01 -1.97196286e-02 -1.70819581e-01 2.11225357e-02 -3.19670816e-03 1.63763896e-01 -6.32798066e-03 1.10295333e-01 5.40831424e-02 -6.95306584e-02 3.07510863e-03 1.62516348e-02 1.19208107e-02 1.17491251e-02 7.53736496e-02 -1.00890949e-01 9.00677964e-03 -1.43578947e-01 -1.30421799e-02 1.62135251e-03 6.27918635e-04 1.90368015e-02 1.00090489e-01 -7.70443380e-02 6.75689727e-02 9.31020081e-03 -8.17942899e-03 6.36084052e-03 -1.73391014e-01 1.24442793e-01 -7.56018737e-04 1.81106925e-02 1.41513324e-03 -4.22752872e-02 -9.01683513e-03 -1.36127263e-01 -5.49751241e-03 -1.98801845e-01 -1.25256553e-01 -1.69628829e-01 -8.21851864e-02 4.68177348e-02 7.98850600e-03 1.35158431e-02 6.28156066e-02 7.93234445e-03 -6.86691655e-03 1.12304419e-01 -4.65965830e-02 9.96776596e-02 -8.99467617e-03 -3.64961638e-03 -6.85312226e-02 2.36032717e-02 -1.87313795e-01 -5.32411365e-03 -1.44447178e-01 -4.97282296e-03 -9.12872981e-03 -4.62022200e-02 3.86525551e-03 -8.97713564e-03 8.94548297e-02 3.93551067e-02 4.47764546e-02 1.09068872e-02] [ 0.03122872 0.16160375 0.10543192 0.13061689 -0.01412179 0.03031686 0.20751204 0.14040633 0.01252202 0.00044734 0.17261733 -0.00128565 0.0114183 -0.06243363 -0.07572626 0.18048424 -0.00966363 0.10798953 0.0208035 -0.0189607 0.01751369 -0.18550266 -0.07047408 -0.17758816 0.01776407 -0.00217011 -0.02901827 -0.02166727 0.19224352 -0.16547208 -0.06551168 -0.13495442 0.0017371 -0.02171436 0.00224724 -0.01576048 0.00393724 -0.03128479 -0.00291242 -0.07795279 -0.1726888 0.01445978 -0.02718254 -0.00361279 -0.05368696 0.18729888 -0.1570141 0.01726368 0.01061822 0.02111292 0.00451519 0.00741411 0.00639157 0.00712113 0.00752081 0.00888707 -0.05481589 0.01047346 0.00931855 0.00044145 0.1987099 0.05382366 -0.0821365 -0.03367669 0.1402987 0.17773093 -0.0025613 -0.02339833 -0.00614993 -0.00156129 0.10153238 0.11587542 0.00099585 0.00567841 -0.01236835 0.01352271 -0.17572469 0.05313083 0.00541806 0.11801513 -0.0002706 -0.00531905 -0.0118929 -0.15200049 0.10640901 0.06415442 0.10016783 0.01497074 -0.00238306 -0.1743561 -0.0044743 0.07524115 -0.01121308 0.00275044 -0.00732253 0.00452174 -0.19091186 -0.20662159 -0.00155194 -0.15649086 0.01539504 -0.19777854 -0.02634513 0.0466754 -0.00351263 0.00751171 0.09452268 -0.00171855 -0.00620814 0.01787855 0.10479364 0.07934896 -0.00674889 0.04525362 0.10534339 0.08956941 -0.0928714 0.00303429 0.18700987 -0.00441568 0.00432201 0.13634053 -0.00856818 -0.00350842 0.11906523 0.00953422 0.03453138 -0.0091446 ] Cos Similarity tf.Tensor(0.16944793, shape=(), dtype=float32) (128,) (128,) [ 1.01180501e-01 3.76610681e-02 -2.64663361e-02 -1.59720555e-01 6.42159302e-03 -1.04131855e-01 1.43039256e-01 1.01343241e-04 -9.03713796e-03 -4.70418856e-03 -1.93755746e-01 1.48780374e-02 7.74075394e-04 6.19019642e-02 -3.20020206e-02 -8.29896107e-02 2.55226661e-02 6.85372716e-03 9.41171721e-02 3.82952131e-02 3.14280391e-02 1.50306419e-01 -6.40748665e-02 5.75053431e-02 2.69148871e-02 1.90993212e-02 1.20001351e-02 1.94672518e-03 -1.81122422e-01 3.02133994e-04 -1.38501510e-01 1.76665723e-01 -4.21203813e-03 2.70742066e-02 -1.19040482e-01 2.76094917e-02 1.43424785e-02 -4.63813078e-03 -3.10969483e-02 -4.36065421e-02 -8.16138983e-02 -2.68439241e-02 -3.87807423e-03 -2.07057893e-02 6.18842840e-02 1.49160832e-01 2.36276817e-03 2.44751461e-02 2.28999909e-02 4.67873476e-02 -1.42509802e-04 5.57132484e-03 2.62080971e-02 1.90192554e-02 1.65157951e-02 2.98042577e-02 -5.38427830e-02 1.04705256e-03 1.45072881e-02 -1.58138096e-03 1.73734963e-01 1.94179326e-01 1.72519639e-01 2.93228719e-02 -1.02584027e-01 -1.31574154e-01 -1.70565001e-03 3.08453757e-02 2.09510569e-02 1.77720934e-01 1.05958611e-01 2.73086317e-02 -8.65845359e-05 -1.13394475e-02 5.13455737e-03 7.87606556e-03 -1.16872095e-01 9.64662209e-02 -1.01481704e-02 1.72731623e-01 5.78639796e-04 1.23335700e-02 1.20692533e-02 1.41054094e-01 -1.72316670e-01 -1.69191808e-01 1.13199390e-01 1.47715406e-02 9.41026211e-03 1.04402669e-01 -1.55204833e-01 1.57067060e-01 7.05455709e-03 7.82384165e-03 1.45393591e-02 2.24559717e-02 -1.53726533e-01 -1.54593036e-01 1.35658057e-02 5.50145507e-02 1.84904963e-01 7.62568563e-02 1.81844115e-01 1.45744085e-01 1.51546542e-02 4.21178341e-02 1.14407718e-01 4.17846628e-03 2.54085008e-02 -2.69775260e-02 -1.28421560e-01 -9.06813424e-03 3.73202525e-02 -1.27034768e-01 6.93535358e-02 1.88636586e-01 1.52851015e-01 -2.73694620e-02 -1.36573479e-01 2.75790561e-02 1.56895034e-02 -1.86249763e-02 2.66921129e-02 -1.19268904e-02 -1.78692177e-01 6.12610728e-02 -6.85455883e-03 9.56713501e-03] [-0.15668373 0.0171816 0.07280107 -0.02813175 0.01787987 -0.06456574 -0.10419928 0.08838101 0.01016313 0.0361246 -0.15134929 0.05149828 0.06344692 -0.1515802 -0.13701814 0.14903879 0.04148864 0.10218383 -0.01975171 0.03072261 -0.18142001 -0.15576895 -0.08274011 0.0329253 0.08077289 0.02541766 -0.08263189 -0.00868251 -0.10899112 0.09978517 -0.16165031 -0.16223294 0.01890074 0.00545327 -0.12963723 -0.01842541 0.07017883 -0.05838741 -0.09864593 -0.06935796 -0.1840346 0.0243152 0.00745499 0.02061226 -0.15845224 0.17259176 -0.11272008 0.01225727 0.06117129 0.04537395 0.02841776 -0.00440541 0.07799911 0.02196373 0.08297379 0.05979753 0.14692004 -0.0437108 0.04125869 0.05000111 -0.04440451 0.05154916 0.0451918 0.04396981 -0.15897793 -0.03936616 -0.0068459 0.09569888 0.06210762 -0.04089635 0.02740851 -0.10804734 0.00938099 0.06494639 0.03119009 0.00070125 0.12986952 0.02253824 -0.00666267 -0.20026508 0.04176219 -0.09090824 0.02427415 0.08261169 -0.02102139 0.09926349 0.19310704 0.04714793 0.03210999 0.00244683 0.10391953 0.20245157 0.02285899 0.03439483 0.06902562 -0.01840545 -0.13692692 -0.16116977 -0.00786448 0.00996755 -0.13336314 0.08473209 -0.14326003 0.12338617 0.03003937 -0.01988197 0.07111444 -0.00365643 0.05729222 0.0032567 -0.07344259 0.03286608 0.04376059 0.05249787 0.01305101 0.13448463 0.07660858 0.00115426 0.10949157 0.09458891 0.02185515 0.15225586 0.0961213 0.01840821 -0.17094743 0.05024481 0.0278872 -0.0070009 ] Cos Similarity tf.Tensor(0.15140893, shape=(), dtype=float32) (128,) (128,) [ 0.06429892 0.05896588 0.00871624 -0.19449963 -0.01097562 -0.00030146 -0.16243255 -0.185997 -0.0190185 -0.00457245 0.10181357 0.00408912 0.00110782 -0.10462905 0.04686866 -0.01557442 0.01848779 -0.05159693 0.02111831 -0.02783217 0.12762022 0.11155184 -0.1849589 0.04827019 0.00325189 0.00240746 -0.1417885 0.0206686 -0.16791667 0.03321509 0.15849343 0.04930034 -0.00518738 0.00815032 0.11514297 0.0136166 0.00485297 -0.15909776 -0.02383272 -0.05548015 -0.15073597 -0.00024285 0.00371533 -0.03942084 0.15103796 -0.08252469 0.04734498 0.01385486 0.02326312 0.01837025 0.00666815 -0.00180231 -0.01186501 0.01265721 0.00313198 0.01717296 -0.2050203 -0.00406541 0.01818806 0.00074002 0.1435895 -0.10174317 -0.0578486 -0.00908042 0.0397699 -0.01621084 -0.00438215 -0.14990084 0.00296702 0.1341093 -0.11186878 0.0872895 -0.00469014 0.01405413 -0.00364347 0.00952817 -0.02063604 0.05305997 -0.02018502 -0.09468109 0.01394557 -0.02817979 0.00451311 -0.08313356 0.17418757 -0.19171713 0.05416493 0.00508177 0.00230455 0.16250345 -0.08305278 0.1188835 0.02022825 0.0230711 -0.00316636 0.05945253 0.10996583 -0.18171676 0.00958883 0.20661184 0.03798978 0.19697952 0.13268471 0.08449198 0.01185175 -0.00230376 -0.08004233 -0.01017526 0.01605835 0.19765842 0.1377124 0.1511094 0.00929178 -0.16918376 -0.01470262 -0.08836287 -0.19863574 -0.00816703 0.01116262 0.025705 0.00492123 -0.00440046 0.03235144 0.02268317 -0.04870224 0.07426287 0.11237904 0.00548428] [ 1.95046552e-02 1.13339961e-01 8.78815502e-02 -2.10556090e-01 -2.81142648e-02 9.61281999e-04 -2.00890884e-01 -7.24740792e-03 -1.36105961e-03 -8.58821161e-03 4.49048057e-02 -8.88506323e-03 -6.24174671e-03 2.62861606e-02 -6.45725057e-02 -7.23193958e-02 -1.16482163e-02 -5.79831526e-02 1.75951838e-01 1.85803548e-01 3.53889689e-02 5.33635728e-02 -1.82103112e-01 1.03427665e-02 -4.58147842e-03 1.28298940e-03 -1.30101338e-01 2.56794062e-03 2.76004337e-02 -1.89414188e-01 -4.65816632e-02 1.73760265e-01 -9.11014155e-04 1.97356939e-03 -9.37781855e-03 -1.02990344e-02 -1.27439592e-02 2.58766562e-02 3.53804906e-03 -7.52694458e-02 -4.33798209e-02 -8.45049217e-04 6.70713664e-04 -1.92336254e-02 1.67779520e-01 -1.12084284e-01 1.23655446e-01 9.76894144e-03 8.25576112e-03 1.60987545e-02 6.61115674e-03 5.63135312e-04 -8.39200802e-03 3.64189665e-03 -6.14345213e-03 1.41047814e-03 -1.93767846e-01 -1.09173730e-03 3.62090603e-03 -2.64486205e-03 1.83417365e-01 1.22450709e-01 -1.38074115e-01 -1.25850560e-02 -8.62779990e-02 -1.26038611e-01 -5.69279771e-03 -7.66497478e-02 -9.83403344e-03 -6.85969219e-02 9.58597437e-02 -5.82242608e-02 4.82700998e-03 6.47779834e-03 -8.31210148e-03 1.13490447e-02 1.76486559e-03 -7.89531097e-02 -2.24681967e-03 -1.32459477e-01 3.83174309e-04 -1.25127239e-03 -7.97178503e-03 -9.80385914e-02 1.12474836e-01 -1.63063575e-02 4.95829321e-02 1.23525718e-02 -1.18195964e-02 -1.65752545e-01 -6.86277300e-02 5.04394695e-02 -2.86895316e-02 3.98481451e-03 -4.26112907e-03 -4.50425650e-05 6.70906454e-02 -1.56481996e-01 -5.56286704e-03 1.94139406e-01 1.89819530e-01 8.81668627e-02 1.53137878e-01 7.83942193e-02 -1.64552853e-02 -1.33991875e-02 2.10023955e-01 -2.04206761e-02 -1.00964531e-02 2.03477606e-01 -1.08611524e-01 1.36084244e-01 -5.24466566e-04 -1.03904091e-01 -4.29189317e-02 -1.53914467e-01 -2.10121870e-01 -1.76433139e-02 9.77298170e-02 -7.28985108e-03 4.56950133e-04 1.70348242e-01 1.36959171e-02 -1.85025819e-02 4.36378904e-02 5.07270731e-02 7.06719980e-02 -2.36055185e-03] Cos Similarity tf.Tensor(0.4989174, shape=(), dtype=float32) (128,) (128,) [-9.33195949e-02 -1.47316039e-01 7.09219603e-03 1.73890844e-01 -6.21118397e-03 1.58800778e-03 1.74777210e-01 4.13184725e-02 1.66185689e-03 -2.50997301e-03 1.54977292e-01 1.35558397e-02 1.42807458e-02 -2.51683779e-03 -1.11863026e-02 -2.16848236e-02 1.82243511e-02 -9.00889412e-02 1.37141109e-01 -1.64652951e-02 6.13634801e-03 -4.64161001e-02 -9.45076346e-02 -4.20609862e-02 1.07115610e-02 1.90860294e-02 -1.27144903e-01 2.09157858e-02 -1.13926746e-01 1.65539727e-01 8.61539319e-02 -1.36690944e-01 1.28272818e-02 1.72480699e-02 -3.68145704e-02 -7.70532715e-05 1.30960532e-02 9.57569033e-02 3.66998394e-03 1.46944508e-01 1.65072009e-02 6.29362511e-03 -5.90255018e-04 5.98877296e-03 1.90574527e-01 1.98551212e-02 4.71877865e-02 1.44413812e-02 1.87500436e-02 9.62821580e-03 1.77205186e-02 7.53118563e-03 -2.29930622e-03 -6.79230550e-03 2.14304426e-03 3.03294812e-03 9.72639844e-02 4.83740354e-04 1.67376120e-02 -5.58613474e-03 1.94100216e-01 1.83991671e-01 -1.56104133e-01 7.62252463e-03 1.01103857e-01 -1.18524469e-02 1.04528340e-02 1.12177618e-02 -8.06332007e-03 7.75866285e-02 -5.29605336e-03 -1.53414026e-01 8.21791869e-03 8.91751610e-04 -8.61885399e-03 2.47434545e-02 1.50552005e-01 -7.84916151e-03 9.12867719e-04 1.31031066e-01 -3.83273559e-03 -5.35922777e-03 -3.02827405e-03 -1.63816288e-01 3.19608450e-02 -1.37869567e-01 6.33623898e-02 1.93868745e-02 1.07737479e-03 1.68983608e-01 -1.28115281e-01 -2.05316529e-01 1.00301448e-02 2.25740913e-02 1.11535555e-02 1.75782308e-01 2.10761726e-01 -1.91847369e-01 -8.61648121e-04 -1.27958387e-01 8.19055140e-02 1.44061491e-01 1.94564715e-01 -1.25958934e-01 2.61515612e-04 7.41181010e-03 -1.29891038e-02 5.77303302e-03 -2.26100888e-02 7.19062388e-02 8.41998085e-02 -1.40911400e-01 -1.69721860e-02 -1.84881110e-02 -1.01413727e-01 -8.38739704e-03 1.93344206e-01 -1.20019000e-02 -2.00816810e-01 -1.64190140e-02 -2.23922869e-03 -1.96761191e-02 2.29551177e-02 -2.19510961e-02 1.45353019e-01 6.95523769e-02 -1.78582896e-03 4.37531807e-03] [-1.22171314e-02 -1.80418238e-01 6.97546825e-02 6.80949092e-02 -7.56392907e-03 1.94378980e-02 1.22903481e-01 1.33831561e-01 3.27060348e-03 3.38053191e-03 1.69933096e-01 3.73245869e-03 1.09413518e-02 -4.86821048e-02 4.67996337e-02 -1.70568392e-01 1.93790905e-02 5.49480580e-02 1.60184965e-01 -1.17806748e-01 6.74647540e-02 3.92789133e-02 8.19412246e-02 -1.27859548e-01 9.78404842e-03 1.79515705e-02 -1.16842799e-01 2.54749097e-02 -5.38538657e-02 2.04502270e-01 5.04753813e-02 2.51671169e-02 1.93695130e-03 2.42963117e-02 -6.85875257e-03 6.25505636e-04 1.64532363e-02 1.74346462e-01 -5.36104315e-04 1.47306576e-01 -1.35960832e-01 9.52949375e-03 6.28148252e-03 1.35735441e-02 1.75663650e-01 -1.57061979e-01 -1.12160273e-01 1.79516096e-02 2.35770177e-02 1.63668301e-02 1.43038416e-02 8.94662552e-03 4.82929032e-03 -8.48976057e-03 7.39319157e-03 4.88106208e-03 1.49733098e-02 1.51073583e-03 2.42743753e-02 1.86649384e-04 2.02922374e-01 1.75054833e-01 2.57796440e-02 8.22043791e-03 1.42571464e-01 -4.59664091e-02 1.22924512e-02 2.99768709e-02 4.02386650e-04 1.65935487e-01 -1.63671076e-01 -1.38389900e-01 3.38568678e-03 8.52438342e-03 -3.81375221e-03 2.93744896e-02 1.70558840e-01 -2.88560335e-02 1.31291458e-02 -8.65570270e-03 4.76872502e-03 -5.39979897e-03 3.48676741e-03 -1.11248977e-01 1.63157105e-01 2.90060812e-03 -1.54552981e-01 2.29618326e-02 3.63082392e-03 3.24482508e-02 -9.05740932e-02 -2.00228348e-01 1.01000285e-02 2.10927930e-02 1.75882708e-02 -1.40260577e-01 1.91842183e-01 -1.83194965e-01 9.85121541e-03 2.91922893e-02 1.05702035e-01 5.58853559e-02 1.72253564e-01 -1.20080255e-01 1.40329804e-02 1.22739580e-02 5.74254580e-02 8.43428541e-03 3.34386877e-03 7.67713934e-02 4.04403284e-02 -1.79295152e-01 -1.77656277e-03 -1.49737541e-02 -9.89749879e-02 1.34848014e-01 5.48706688e-02 -1.50977727e-02 -1.93579257e-01 -1.22206088e-03 -8.02095048e-03 -5.16373254e-02 2.60003731e-02 -1.10597210e-02 -6.24701343e-02 2.52249315e-02 2.20133364e-02 3.78664793e-03] Cos Similarity tf.Tensor(0.6503109, shape=(), dtype=float32) (128,) (128,) [-1.70054123e-01 1.56276599e-02 4.60410453e-02 -1.19519807e-01 -1.01648718e-02 -2.08304892e-03 -1.49487123e-01 -7.50184208e-02 -2.77080853e-02 -3.21457221e-04 -1.30141199e-01 4.01915908e-02 1.76911731e-03 -3.37270368e-03 7.16002062e-02 3.26990485e-02 -1.12227807e-02 8.30166414e-02 -1.17275111e-01 -1.26555488e-01 1.07525103e-01 9.77405533e-02 -2.46637091e-02 -4.88429703e-02 1.14497691e-02 2.05595288e-02 1.89474642e-01 -6.26360811e-03 -2.18609959e-01 1.62251785e-01 -7.08675981e-02 8.19155052e-02 -5.82645647e-03 2.89504975e-02 2.30381280e-01 7.45047033e-02 2.75101773e-02 3.61719690e-02 -3.26849036e-02 -5.52814566e-02 6.83002770e-02 -4.18046443e-03 7.92551413e-03 1.54399400e-04 5.17794974e-02 1.13624670e-01 -1.27086461e-01 2.82510910e-02 1.37798786e-02 -1.90030958e-03 1.49121378e-02 5.57480799e-03 1.66389365e-02 1.88295487e-02 8.87874980e-03 2.83382740e-02 -3.78493010e-03 -2.20018579e-03 1.25327930e-02 1.68493912e-02 1.97127666e-02 1.44156814e-02 3.56922820e-02 2.53810063e-02 -6.90072253e-02 -1.35729328e-01 -2.59262393e-03 -7.43204430e-02 -1.02953025e-04 2.44397253e-01 1.07595854e-01 -1.70487776e-01 9.58181825e-03 8.82797968e-03 1.31250694e-02 3.47456150e-02 -1.17405467e-01 -4.16507907e-02 -1.27038555e-02 -2.37078965e-01 1.37001583e-02 -5.11016920e-02 -1.15543406e-03 1.42932117e-01 -4.62430250e-03 1.73732400e-01 -2.36700624e-01 1.36779193e-02 2.68595060e-03 3.97055373e-02 2.50550248e-02 7.39614442e-02 2.19101436e-03 1.31370910e-02 -1.59491524e-02 -1.69458330e-01 3.46599855e-02 -1.22267880e-01 1.66529254e-03 -8.55988935e-02 -3.03221354e-03 -1.38359800e-01 -1.35259643e-01 -6.85732141e-02 -4.17871634e-03 2.83161178e-03 1.14832275e-01 2.94399895e-02 -1.02539323e-02 -1.04721367e-01 9.81718227e-02 -8.76826122e-02 2.94267125e-02 -1.67459324e-01 4.66156788e-02 -1.58372700e-01 -9.39242244e-02 7.82888290e-03 -2.31086195e-01 -1.59210861e-02 9.11547057e-03 3.41565050e-02 3.79636101e-02 -4.85778181e-03 -1.30043998e-01 1.08662985e-01 4.92908992e-02 1.80111136e-04] [-1.45351544e-01 1.88060492e-01 -2.53205048e-03 1.33580312e-01 -2.75025796e-03 -6.58395439e-02 -7.51373991e-02 -1.97994426e-01 -1.61559274e-03 1.24922805e-02 1.35128096e-01 1.94350202e-02 3.38354744e-02 8.43393058e-02 3.74345891e-02 -2.86422968e-02 2.84731779e-02 6.05861507e-02 -2.30815843e-01 -8.67939368e-02 1.01447746e-01 -1.78401113e-01 -6.66025281e-02 2.72653475e-02 3.04334816e-02 1.89738087e-02 -8.31319019e-02 -1.82213094e-02 -1.76305935e-01 1.91957340e-01 1.97603017e-01 9.92454365e-02 3.51034515e-02 2.08302829e-02 1.88419849e-01 4.99107838e-02 2.94643175e-03 9.39271972e-02 -3.60870594e-03 -1.37405828e-01 -1.82621554e-01 -4.39350633e-03 1.00682825e-02 3.30262748e-03 -6.54766709e-02 -1.70724347e-01 -1.07965998e-01 3.37051116e-02 2.16241945e-02 -4.88026161e-03 1.98430344e-02 -4.68837237e-03 3.11289057e-02 1.62310824e-02 -5.77580358e-05 3.82209010e-03 -5.35140075e-02 -2.56649824e-03 2.31931005e-02 2.92106960e-02 -1.64362788e-01 -4.12552096e-02 1.05322942e-01 2.71696448e-02 -6.94334060e-02 -6.47700727e-02 2.64818594e-03 -4.84341420e-02 -1.78366732e-02 -2.15014182e-02 -4.29670885e-02 8.72719437e-02 1.35136396e-02 6.56806584e-03 1.49055626e-02 3.44194062e-02 1.10932656e-01 -9.92012471e-02 -3.24484613e-03 -2.38652319e-01 2.13136990e-03 -7.37743126e-03 -3.79806245e-03 -1.13255503e-02 2.62933155e-03 1.90983102e-01 -1.66761830e-01 -2.44952925e-03 1.28561873e-02 1.09564923e-01 1.49720743e-01 1.44561768e-01 2.83564758e-02 2.79768314e-02 2.87564145e-03 -9.05955285e-02 3.73272486e-02 1.04399055e-01 -7.40413030e-04 -1.92926601e-02 -1.42641142e-01 5.45135811e-02 -4.32128459e-02 2.03057319e-01 2.42216606e-02 2.45099608e-02 1.30640745e-01 2.19415464e-02 2.12614890e-02 -1.54023021e-01 1.00505352e-01 2.44866405e-02 7.34983987e-05 -3.41570564e-02 -7.31333792e-02 -9.63724330e-02 -7.59414136e-02 9.60253552e-03 -7.00173378e-02 3.25652361e-02 3.08502605e-03 -2.01747231e-02 4.87418771e-02 2.41937395e-03 8.75504091e-02 5.10262325e-02 9.59968343e-02 -2.10607015e-02] Cos Similarity tf.Tensor(0.35182002, shape=(), dtype=float32) (128,) (128,) [ 1.09302178e-01 7.55522773e-02 3.70547846e-02 8.51743594e-02 2.31879840e-05 -1.44709170e-01 1.25273779e-01 9.51813534e-02 2.67245015e-03 1.37760583e-02 -1.88995630e-01 -1.35536240e-02 5.16327389e-04 -1.27080008e-01 7.79293254e-02 8.42534564e-03 8.21604510e-04 -1.52737007e-01 3.03798821e-02 -1.00790590e-01 9.80127379e-02 1.28674135e-01 -1.62256718e-01 -2.77821328e-02 3.10576614e-02 1.11811114e-02 -9.60178953e-03 -1.00474292e-02 1.69552848e-01 -1.65125996e-01 -1.39967963e-01 1.49659619e-01 3.43136489e-02 1.19621689e-02 -4.84191217e-02 -2.16245949e-02 2.89142393e-02 4.36962657e-02 -1.65847912e-02 -4.66869697e-02 8.96059871e-02 8.68997350e-03 -5.46568446e-03 1.12422567e-03 -6.54334053e-02 -9.86766908e-03 -9.48575884e-02 -2.53958651e-03 1.28765441e-02 7.04592559e-03 1.04147214e-02 2.03978480e-03 2.15312652e-02 5.47156809e-03 2.42910311e-02 1.40146343e-02 -6.75002187e-02 -5.70257939e-03 1.63966715e-02 -3.89877893e-03 5.37737720e-02 -1.53590769e-01 2.06413805e-01 -2.79684421e-02 -1.61705419e-01 -6.34929538e-02 5.20047545e-03 8.89225826e-02 2.86280122e-02 -1.84562936e-01 1.76368549e-01 1.55583143e-01 5.34807425e-03 -5.36234584e-03 1.72908753e-02 2.48996913e-02 1.60912320e-01 8.00822526e-02 5.24795428e-03 -1.89739183e-01 5.17599797e-03 -1.31837549e-02 1.25423474e-02 -1.64560005e-01 7.74344476e-03 1.64977089e-01 9.56993774e-02 2.66338848e-02 5.80887077e-04 -3.02527174e-02 1.25947922e-01 1.70397967e-01 -1.17515204e-02 6.63148286e-03 1.11266766e-02 1.54630437e-01 -1.52321920e-01 -1.18451431e-01 1.51711889e-03 3.59178334e-02 1.84556678e-01 1.59597863e-02 1.13196373e-01 1.58721372e-01 8.99311062e-03 9.70074441e-03 -2.45299377e-02 6.70262007e-03 2.52019837e-02 5.12215942e-02 -8.74488726e-02 3.68323065e-02 1.73927527e-02 -1.30493790e-01 1.29003555e-01 1.70569986e-01 2.14194246e-02 -1.05644828e-02 -7.00351521e-02 2.40325723e-02 2.50380742e-03 1.17051817e-01 1.99130755e-02 -1.38868885e-02 -1.84335679e-01 4.23167758e-02 1.03436718e-02 -2.71791755e-03] [ 0.09984703 -0.0327834 0.07506852 -0.07590013 -0.00489307 -0.16326417 0.00114012 0.14079517 -0.00558802 0.0041858 -0.23392569 0.01191202 -0.00718848 -0.11311638 0.06745983 0.04720951 -0.00348019 -0.1292814 0.10813189 -0.1109771 0.14410014 0.08025953 -0.05430533 0.05680268 0.0373724 -0.00239962 0.16272035 -0.02622436 0.15857919 0.02119754 -0.19350131 -0.11998818 0.02462706 0.0177837 0.0837784 -0.0342073 0.02795083 0.01030874 -0.01224348 0.11578098 -0.18962632 -0.00328771 -0.0094924 -0.02049369 -0.15864627 0.22043997 -0.03689812 0.01413635 0.00737661 0.00397971 0.01116747 0.00810347 -0.00209783 0.0007131 0.02281734 0.02166961 -0.08577836 0.01079532 0.01255882 0.01471446 -0.06417548 -0.04633082 0.03644411 0.00526706 -0.241358 -0.09603002 -0.00458751 0.0072303 0.01421144 -0.17441677 0.1496198 0.06563015 0.01336724 0.00800221 0.02041835 0.0227274 0.14977881 0.09343233 0.00231394 -0.15097101 0.00836121 0.0015043 0.01013894 -0.1407766 0.00146416 0.06583246 0.12441412 0.00395634 0.00042371 -0.02180871 0.21696751 0.15104665 0.00100336 0.01639099 0.00060788 0.0906598 -0.17189555 -0.09335075 0.00852556 0.20397408 0.05064322 -0.04266179 0.02254315 0.17252447 -0.00791558 0.03187388 0.09428813 0.01909785 0.01235325 -0.15939352 -0.19114414 -0.03664808 0.0079466 -0.08849843 0.07411696 0.09234104 -0.01102751 0.00527158 0.05451234 0.02515065 0.01406022 0.06842633 0.03649401 -0.01188092 0.04606459 0.05437951 0.01232608 0.00324601] Cos Similarity tf.Tensor(0.62603664, shape=(), dtype=float32) (128,) (128,) [-1.25189750e-02 9.97565780e-03 -9.15521011e-02 3.73028517e-02 -2.76203081e-03 -2.56286226e-02 7.68954575e-04 2.07754046e-01 -7.85211194e-03 -2.09311070e-03 -1.68948829e-01 4.99072578e-03 -1.39782103e-02 1.16931334e-01 5.91468178e-02 -9.96860415e-02 -1.05470894e-02 2.01333433e-01 -1.03039987e-01 -1.72500268e-01 -7.53472894e-02 1.12493932e-01 6.46038447e-04 -2.29579378e-02 -1.47545775e-02 1.17452303e-02 1.24908134e-01 -1.23286108e-02 -3.84022817e-02 -9.46590081e-02 -1.79029539e-01 2.33657390e-01 -9.78313619e-04 -3.16127110e-03 1.08544253e-01 2.41608322e-02 -4.64323610e-02 -1.56002134e-01 1.00129191e-02 -1.11707509e-01 2.18665063e-01 6.65508816e-03 9.65547748e-03 -1.48879169e-02 2.21856773e-01 4.65079620e-02 5.49255908e-02 -9.96125489e-03 -1.47945946e-02 1.33547215e-02 1.38683142e-02 9.57016926e-03 -8.42459500e-04 5.21619746e-04 -2.01683287e-02 1.88909583e-02 -5.54262176e-02 -6.89547369e-03 -1.62189566e-02 -1.24399795e-03 1.97427124e-02 -2.24366203e-01 -1.25243872e-01 -1.13277230e-02 -1.58821866e-01 -1.91087034e-02 -1.29317567e-02 -5.33667067e-03 -1.45922042e-02 -1.58333424e-02 -1.82469741e-01 -6.05376698e-02 3.68206063e-03 -5.90460282e-03 -2.32745428e-03 -3.84866586e-03 -1.79540634e-01 1.10892244e-01 6.63166493e-03 -7.78016448e-02 -1.28374230e-02 1.12961289e-02 -1.12892836e-02 6.81873932e-02 5.77738471e-02 -1.52253389e-01 -2.03403562e-01 5.16224094e-03 -1.50409592e-02 -8.01751018e-03 -8.00086069e-04 -1.21993676e-01 -2.61526508e-03 2.05514412e-02 7.20306591e-04 -5.24764583e-02 -9.02262889e-03 -5.34107387e-02 1.56646580e-04 1.66420579e-01 1.01491231e-02 4.47896980e-02 -1.06739737e-01 1.24363400e-01 -1.18842227e-02 -2.36662552e-02 -1.85672477e-01 5.04239928e-03 -1.21469442e-02 -6.04752153e-02 -1.61669520e-03 -2.02572599e-01 -2.54474208e-03 -1.04458399e-01 7.02088699e-04 -9.78406593e-02 -2.03103125e-01 -5.78601751e-03 1.25653520e-01 -3.96871101e-03 1.47508886e-02 2.63370052e-02 1.18413828e-02 1.29329916e-02 1.54110700e-01 5.30807599e-02 3.61364260e-02 -8.44057929e-03] [-1.59665197e-01 -3.11679346e-03 -1.09889470e-01 3.00832391e-02 -3.85277998e-03 -1.76299438e-02 3.18225510e-02 1.54639855e-01 -1.21319471e-02 -9.71732079e-05 -1.73170179e-01 9.62140318e-03 8.50667886e-04 1.47352010e-01 4.47036587e-02 -8.29043463e-02 7.67608499e-03 1.81175783e-01 7.10178260e-03 -7.93731362e-02 -1.03506178e-01 1.55842807e-02 -1.92779526e-02 -4.57819737e-03 -2.39792559e-02 1.06613310e-02 1.12821564e-01 -9.71387140e-03 -1.39563382e-01 -2.00432688e-01 -1.98416024e-01 1.47178054e-01 -5.27320709e-03 8.69261380e-03 1.97136939e-01 2.52132230e-02 -2.66820248e-02 -8.05425793e-02 -2.07663071e-03 -9.80215147e-03 9.41682681e-02 6.75916160e-03 7.93877803e-03 -1.82630252e-02 2.17741877e-01 -8.60049273e-04 7.15932250e-02 -3.77818081e-03 -5.82555169e-03 1.74643788e-02 9.98643320e-03 1.24707473e-02 -5.75876271e-04 -1.72382267e-03 -1.64166503e-02 2.05718540e-02 6.48503825e-02 -1.05818324e-02 -2.41464209e-02 2.41031009e-03 4.69667614e-02 -2.10705400e-01 -1.58631310e-01 2.08643847e-03 -1.77391917e-01 2.49589124e-04 -1.24507854e-02 -3.48420977e-03 -1.80849656e-02 4.78663296e-02 -1.34099260e-01 4.78172265e-02 -4.51985607e-03 3.92356422e-03 -9.38095991e-03 -1.01416570e-03 -1.86721444e-01 1.16216399e-01 3.75281507e-03 -6.73342720e-02 -1.31701725e-02 -2.07753875e-03 -6.35037711e-03 1.46039024e-01 2.69790161e-02 -1.89018965e-01 -1.76835880e-01 3.89278098e-03 -5.58340549e-03 9.62404311e-02 7.33008012e-02 -1.10555522e-01 -3.98813142e-03 6.48671761e-03 8.11830908e-03 -3.03110834e-02 -1.53815793e-02 -1.64105855e-02 5.70812123e-03 1.89918220e-01 1.71327288e-03 1.32192150e-01 -7.81903937e-02 1.66271478e-01 -1.47133796e-02 -2.01232098e-02 -1.80432379e-01 4.85384691e-04 -1.11437589e-02 -8.94120932e-02 9.95821655e-02 -1.89002484e-01 -3.13016656e-03 -1.36837754e-02 -1.29382964e-02 -1.82365134e-01 -1.99120745e-01 3.30273621e-03 2.01893970e-02 -4.76524513e-03 5.46266150e-04 3.37917916e-02 1.03674401e-02 8.45150091e-03 1.59085721e-01 5.87991849e-02 2.40995809e-02 4.35886934e-04] Cos Similarity tf.Tensor(0.87688833, shape=(), dtype=float32) (128,) (128,) [-0.09490794 0.03449767 0.02230666 0.20088524 0.01327053 -0.00337522 0.11179657 0.13563767 0.00722425 -0.00739915 -0.02103278 -0.00481643 0.0155853 0.11892705 0.03173974 -0.21238846 -0.00592452 0.14518015 0.17646568 -0.02021631 0.11780955 0.15811154 -0.18765165 -0.03280871 0.01042043 0.01776807 0.18651761 -0.00193996 -0.13524742 -0.08058809 0.09149764 0.00543824 0.00764456 -0.01178011 -0.05648337 0.01298262 0.01123504 -0.15731418 -0.0254606 -0.0466122 -0.15443042 0.00404969 -0.00478505 -0.00329429 -0.1218247 0.15925999 0.00768644 -0.01716788 0.00258985 0.021182 0.00517872 0.00828867 -0.00870236 0.01338655 0.00287743 0.0168335 0.14543289 -0.02482961 -0.00368253 0.00642227 0.03186287 -0.05647334 0.13812254 0.01115524 -0.20595452 -0.1118976 0.00031477 0.08041774 0.01107006 0.18233614 -0.05146654 -0.13253568 0.00099959 0.01189533 0.00496346 0.01641119 0.00636759 0.15704177 -0.00258633 0.16744134 -0.00633093 0.00447722 -0.00287322 0.02350161 -0.07736003 0.0966013 0.09810635 0.01074812 -0.01078487 -0.17527805 -0.22064674 0.080452 -0.00937115 -0.00145108 -0.01700575 -0.2331002 0.00556699 -0.06000813 0.00272708 0.11604181 -0.0833833 -0.03810441 0.03783939 0.00168698 -0.00336152 -0.02758388 0.07956866 -0.00672835 -0.00622653 0.0318771 0.10429497 0.13081205 -0.02132487 0.06982302 -0.04975665 -0.0240553 0.20958398 -0.00823054 -0.13422628 -0.03020575 -0.01119109 -0.20886634 0.00676786 -0.01635587 -0.05538885 0.04840221 -0.00490357 0.00447461] [ 1.10288858e-01 -1.33481652e-01 7.20626442e-03 9.05160308e-02 -2.35948036e-03 -3.40111963e-02 -1.04027912e-01 8.43099505e-02 -2.45819278e-02 2.44809687e-03 -4.78354283e-02 -1.01964930e-02 2.24274490e-02 -6.93859532e-02 1.47530809e-01 -1.96184397e-01 9.90627799e-03 -3.91152836e-02 1.74006373e-01 -2.77198199e-02 -4.96136732e-02 1.33309379e-01 7.04034269e-02 -1.85598638e-02 -5.76012349e-03 2.03236733e-02 5.49593084e-02 6.53046835e-03 8.03645980e-03 1.04773663e-01 1.43885508e-01 9.94793624e-02 2.96766609e-02 1.22568300e-02 -1.35168582e-01 -4.54386836e-03 2.36816909e-02 1.07165277e-01 -2.76571903e-02 -1.39492661e-01 -1.50222152e-01 1.20648846e-03 1.28146987e-02 3.53856869e-02 -8.66914168e-02 -4.62545548e-03 -1.05023710e-03 4.09336109e-03 1.34188104e-02 2.28769202e-02 8.25089682e-03 1.25708652e-03 6.91967458e-03 2.00410690e-02 7.45494338e-03 2.85263136e-02 6.93511069e-02 -3.14779989e-02 2.62847878e-02 8.06077290e-03 1.26860455e-01 2.21355662e-01 -1.35419011e-01 2.95531545e-02 -8.00036490e-02 1.61831647e-01 2.08870377e-04 9.37152207e-02 1.71847288e-02 1.65029034e-01 -3.60707492e-02 -2.01058835e-01 8.98908079e-03 -3.53602972e-03 5.89840719e-03 3.46708894e-02 -4.94017452e-02 -3.83152999e-02 -1.50588471e-02 -1.11370139e-01 8.70616455e-03 -2.59975228e-03 3.04539572e-03 -1.64050460e-01 -1.40691310e-01 1.91018283e-01 2.22072810e-01 2.33726185e-02 1.43549216e-04 -1.20053090e-01 -1.89395636e-01 8.27824697e-02 2.15471517e-02 2.64861006e-02 3.18350946e-03 -1.31223679e-01 7.16487765e-02 1.02395505e-01 -3.50732636e-03 -1.45316139e-01 6.22037426e-03 6.12529274e-03 1.79978475e-01 -1.32446811e-01 7.14530796e-03 -1.45093380e-02 8.57933313e-02 3.11230719e-02 9.15597752e-03 -3.18596396e-03 -8.01700354e-02 -1.13870449e-01 -1.22588826e-02 1.50066957e-01 -1.41848519e-01 -1.55862689e-01 3.86028141e-02 -2.33047605e-02 -1.05243087e-01 -3.41009684e-02 -1.53858960e-03 -9.79405046e-02 4.06969488e-02 -3.33452150e-02 -2.07607716e-01 5.40274940e-02 -5.34562506e-02 -7.44030159e-03] Cos Similarity tf.Tensor(0.336618, shape=(), dtype=float32) (128,) (128,) [ 2.50873327e-01 1.64759636e-01 9.10020322e-02 -1.74002916e-01 1.58495607e-03 -1.83730703e-02 -1.38270110e-01 1.14860326e-01 -5.14841499e-03 -4.09327768e-05 1.04091287e-01 1.45084495e-02 1.24770189e-02 5.60130589e-02 5.31253889e-02 2.74877641e-02 -1.03705665e-02 2.76785064e-02 9.78276581e-02 2.24384293e-02 -4.47941720e-02 1.62571609e-01 -1.53099835e-01 1.55262202e-01 1.04727177e-03 8.20212625e-03 3.52446176e-02 -7.62175623e-05 -1.10479966e-01 5.96094020e-02 -1.50861308e-01 6.76706806e-02 1.58735327e-02 -3.14505398e-03 -2.29205951e-01 2.18894035e-02 7.49119278e-03 -1.09868966e-01 -2.77428981e-02 5.17591201e-02 -1.14203729e-01 -1.75123347e-03 5.35753323e-03 -5.05994260e-03 -9.56635401e-02 -1.23597622e-01 -2.09294781e-02 1.27939899e-02 5.79297962e-03 1.91767234e-02 1.56907439e-02 6.25398010e-03 3.34847486e-03 3.82075622e-03 -4.12522303e-03 2.05952227e-02 -9.22741517e-02 -1.28716752e-02 9.58316401e-03 1.28277112e-02 -7.62687027e-02 -4.21330100e-03 -9.44065973e-02 8.07065796e-03 2.19851553e-01 1.79011390e-01 3.77734564e-03 4.14738543e-02 1.27423182e-02 -2.66637132e-02 1.75830312e-02 6.58490434e-02 3.10886488e-03 -1.07396385e-02 -5.57813700e-03 2.27998476e-02 4.19078358e-02 1.48256764e-01 7.53916427e-03 -2.41724536e-01 2.76162126e-03 -1.31721208e-02 -4.91791929e-04 6.11434057e-02 -1.58826575e-01 1.22731514e-01 -4.20670882e-02 1.42335324e-02 6.78785029e-04 -4.51548817e-03 6.84986115e-02 1.78484857e-01 1.19365100e-02 1.07300375e-02 1.33284405e-02 -1.19108520e-01 -1.03343606e-01 -1.50099963e-01 -4.49346891e-03 4.75766696e-02 7.08910078e-02 -1.68363545e-02 -1.97572291e-01 -1.80605531e-01 -7.69938435e-03 -2.56657857e-03 7.44936094e-02 2.13273633e-02 -2.08521821e-03 -9.89004970e-02 -1.38563648e-01 1.54095083e-01 3.19976662e-03 2.06325613e-02 -9.53638852e-02 8.83202478e-02 -1.25342399e-01 -7.82872434e-04 1.29900977e-01 -2.90174726e-02 -1.12121273e-02 1.01054303e-01 1.86980460e-02 4.15140577e-03 -2.04848140e-01 1.20579928e-01 -2.03597695e-02 -2.66063580e-04] [ 2.5626323e-01 1.2857859e-01 1.5228029e-01 -2.1823877e-01 -9.8055284e-03 -1.4875202e-02 -1.0914278e-01 1.4311078e-01 -9.6498737e-03 -1.7328523e-04 9.8948821e-02 -3.8703843e-03 5.5451579e-03 7.7254906e-02 7.4277535e-02 9.5416848e-03 -1.7769145e-02 1.4065719e-01 1.2977391e-01 2.2301028e-02 -1.0730630e-01 5.4258503e-02 -4.8030600e-02 2.1658901e-02 -1.3034450e-02 1.5079055e-03 1.5631963e-01 -1.3190509e-02 -1.3374686e-01 9.8434500e-03 -2.6577106e-01 1.7361112e-01 1.6460039e-02 -7.4950326e-04 -1.5342058e-01 2.3022916e-02 -2.8999222e-03 -4.1684221e-02 -2.7072905e-02 1.7080462e-02 9.7805470e-02 -4.4112317e-03 2.3573211e-03 -3.7375540e-03 -8.0864057e-02 -1.9603182e-01 -1.6104549e-02 8.4359115e-03 2.7260981e-03 1.5266531e-02 1.1371872e-02 6.0710288e-03 -5.3509804e-03 2.8648078e-03 -2.7529930e-04 2.2263935e-02 9.6065216e-02 3.3563855e-03 2.4554369e-03 2.7398160e-04 -9.9079818e-02 4.6014823e-02 -8.9685030e-02 5.2059437e-03 1.8955024e-01 1.9007225e-01 -3.8164584e-03 1.7369793e-01 -1.7733263e-03 1.1766119e-02 6.9754338e-04 -1.0543496e-01 6.2634633e-03 3.2200511e-03 -1.1107488e-02 2.4058832e-02 5.4134045e-02 -3.9690070e-02 -8.9319339e-03 -1.3340612e-01 -2.0744603e-03 -1.1330112e-02 -8.0876292e-05 9.9998146e-02 -5.9476092e-02 2.5146261e-01 -1.1843865e-01 1.8908072e-02 -3.1686877e-03 3.2245263e-02 3.8837024e-03 1.5437329e-01 3.5729476e-03 5.9439708e-03 8.8702329e-03 1.2714539e-01 -1.2653429e-02 -1.4491697e-01 -5.4608104e-03 4.8155546e-02 -1.8454343e-02 1.4111874e-01 -1.0571286e-01 1.2963429e-02 -1.8635588e-02 -1.8692309e-02 2.4295714e-02 1.9664211e-02 -1.2511029e-02 -7.4425593e-02 -1.3040009e-01 -7.9979204e-02 4.8037670e-03 -3.4904953e-02 -1.0042706e-01 1.6110913e-01 -1.6782570e-01 -1.1851644e-02 -4.4739880e-02 -2.5389940e-02 -1.2621074e-02 2.0967354e-01 1.8609948e-02 -1.6918046e-02 -3.2980882e-02 1.0663193e-01 -4.3632984e-02 -1.0602423e-03] Cos Similarity tf.Tensor(0.68001705, shape=(), dtype=float32) (128,) (128,) [-2.64295433e-02 2.16986194e-01 8.72508958e-02 -9.02224034e-02 2.15491317e-02 -9.75092947e-02 2.83766445e-02 -1.84393011e-03 1.37019977e-02 -2.20144186e-02 6.10325113e-02 3.70759121e-03 2.16972847e-02 1.68950297e-02 -1.76629163e-02 1.60406277e-01 3.79665457e-02 -9.02178884e-02 -1.10981405e-01 -1.79281026e-01 1.76726237e-01 2.09157869e-01 8.40647593e-02 -4.04065065e-02 3.45697701e-02 5.67042734e-03 -1.48826510e-01 -9.29875358e-04 6.89040571e-02 1.50890633e-01 -1.07923828e-01 -2.09574744e-01 2.63688946e-03 1.98049936e-02 -9.64726061e-02 -6.89997338e-03 3.45558710e-02 9.81554538e-02 -1.89320315e-02 1.34361356e-01 -6.29285350e-02 -4.99919197e-03 -1.38926143e-02 1.75975505e-02 2.23688960e-01 5.61973564e-02 7.86766468e-04 4.82327901e-02 4.03421670e-02 -1.33027285e-02 8.28487612e-03 1.37332501e-02 4.63461690e-03 2.56757084e-02 3.11533250e-02 2.85444148e-02 1.23110428e-01 -2.60258224e-02 6.85369922e-03 3.66993458e-03 1.57960504e-01 -1.64740637e-01 4.99858521e-02 1.13872522e-02 -1.15368530e-01 -2.73891240e-02 2.01208778e-02 2.35899966e-02 2.07668208e-02 -8.89017135e-02 -4.95139658e-02 -1.86504479e-02 -1.29125109e-02 1.99435912e-02 1.21164750e-02 3.18310931e-02 3.76726780e-03 -1.71609238e-01 -1.37989521e-02 1.74154863e-01 2.60487143e-02 -8.75754561e-03 1.03996098e-02 -1.25244364e-01 1.62143130e-02 5.61854802e-02 -9.56429318e-02 1.29011925e-02 1.22167962e-02 -6.66209236e-02 -8.61576051e-02 2.47137733e-02 2.92801671e-02 2.95102708e-02 -2.55236663e-02 1.46099761e-01 -1.07261892e-02 -1.93200618e-01 9.27809533e-03 -2.16349781e-01 -2.50773057e-02 -1.97771654e-01 -1.91684663e-01 -1.75829411e-01 -1.28308246e-02 3.18496712e-02 4.43498604e-02 1.04787648e-02 1.57150684e-03 -1.87767576e-02 -1.59251725e-03 1.44341379e-01 2.14212593e-02 -2.06248090e-01 -4.86658067e-02 -5.78460768e-02 9.75243077e-02 3.80377355e-03 7.86750019e-02 1.52195338e-02 2.94314278e-03 9.39006507e-02 -2.18358207e-02 -6.20908540e-05 -8.88193473e-02 1.54706419e-01 -2.42672991e-02 9.96246003e-03] [-0.03920559 0.09695707 -0.01018357 0.09482813 0.0305618 -0.03243066 -0.16878518 0.03645043 -0.01764246 0.00839502 -0.2496837 0.04157615 0.01616259 0.06968571 -0.00384767 -0.02397664 0.04242107 0.12198942 0.13060872 0.04062011 0.10006677 -0.10255027 -0.14245656 -0.13424896 0.03498249 0.02935388 0.20347886 0.02560545 -0.17653254 -0.00705584 -0.14802252 -0.11206345 -0.03441212 0.02609767 -0.19110826 0.03590693 0.02681382 -0.07718618 -0.07292709 0.02509707 -0.11019159 0.01086749 0.0035886 0.005596 0.07999779 0.14871718 0.02195227 0.02784214 0.03849456 0.07549604 0.01362042 0.01865272 0.0118122 0.02448463 0.05742332 0.05035568 -0.11321395 -0.04586647 0.0202078 0.03960718 0.04978779 0.0761891 0.10374728 0.01054173 -0.14834383 0.1072912 0.02223103 0.13120678 0.03255528 0.00873336 -0.05382216 0.09936354 0.01291196 0.02614968 0.02133677 0.04126981 0.10690422 -0.12490071 -0.03714674 0.03241007 0.02639963 -0.01692026 0.01445699 -0.07905312 -0.09121553 0.13017933 0.19340841 0.02998785 0.01831512 0.05629328 0.03961556 -0.12713103 0.06313973 -0.00383784 -0.02914294 -0.12819359 0.1590698 -0.20403986 0.00786952 -0.17233281 -0.08481103 0.03152512 -0.0411719 0.14512506 0.01909181 0.05431076 -0.11466029 0.00296214 0.0482441 -0.18003759 0.17802538 -0.02902501 0.05282512 -0.15517755 0.01082345 0.12226685 0.04469607 -0.00768379 -0.08898274 0.02100442 0.01226641 -0.1008112 0.05728665 -0.00104058 -0.13304302 0.12384906 -0.08778951 -0.00102793] Cos Similarity tf.Tensor(0.1088758, shape=(), dtype=float32) (128,) (128,) [-0.01252228 -0.10505552 0.05908622 -0.13386954 -0.02013403 -0.14370751 -0.15546174 0.19087352 -0.01905852 0.0066918 -0.00295362 -0.01660337 -0.00632363 -0.17511843 0.06633759 0.11032099 0.00946968 0.18719909 0.03026944 -0.10520215 -0.14820537 -0.1474136 0.16546695 -0.10076325 0.00456452 0.00872382 0.05671558 -0.0016226 0.07459532 0.17089517 -0.1254846 -0.00822486 -0.01351896 -0.01131518 0.18020955 0.01899614 0.0163632 0.04394506 0.00822044 0.05795878 0.17773594 0.00822688 -0.00073242 0.02337594 -0.07356238 0.17294611 0.12758052 0.01039257 0.01701909 0.02648236 0.01210205 0.00067167 -0.00501167 0.01190964 -0.0101751 0.00430766 0.16790365 -0.00240473 0.01822716 0.00104775 -0.03656333 -0.00378206 -0.13387333 0.01173879 0.06100692 -0.17780767 0.0047582 0.16718332 -0.01263668 0.19093338 0.06317801 0.10039411 0.00292539 0.0094047 -0.01315853 0.02739017 0.00783992 -0.08823259 -0.00984797 -0.1146514 0.00506217 0.0045025 0.01177332 0.10446381 0.14335865 0.15006697 0.13729669 0.01455749 -0.00407458 -0.11495595 0.00875483 -0.08800691 0.00850292 0.007938 -0.01235528 0.17349209 0.03799466 -0.20595148 0.00020649 0.10434227 0.16928992 0.04258426 0.09728316 0.18853064 -0.00853614 -0.03721272 0.05120202 0.00984599 0.01365201 -0.00969154 0.11568239 0.14093295 -0.0002721 -0.07249924 -0.00180256 -0.01979761 -0.05047565 -0.025463 0.10995302 -0.00043544 -0.01043918 0.09489277 0.03354187 -0.00150392 -0.07681277 -0.02672107 -0.13025999 -0.0015967 ] [-3.77160423e-02 -1.21898919e-01 5.32358885e-02 -1.13168925e-01 -4.56814654e-02 -2.08095666e-02 -1.15975097e-01 -1.07459500e-02 -6.65723998e-03 1.43840536e-03 -8.21883753e-02 1.86387298e-03 3.80007038e-03 -1.98024139e-01 -1.11280911e-01 1.04994908e-01 8.37139320e-03 1.64612964e-01 1.36090145e-01 5.71700707e-02 -1.66461423e-01 -1.31050199e-01 1.82958394e-02 -7.98605084e-02 -8.65706522e-03 4.75491071e-03 7.57513121e-02 -1.36105018e-02 1.59257963e-01 -1.83275156e-02 -1.33021489e-01 -4.86833379e-02 -8.50722194e-03 2.92424555e-03 1.92920640e-01 1.40661048e-02 5.16870385e-03 -1.72221512e-01 2.16040406e-02 1.22202769e-01 1.17796376e-01 3.83495959e-03 -3.36388173e-03 2.66525913e-02 -1.51569381e-01 1.63758114e-01 -1.28095180e-01 1.01682767e-02 2.07810458e-02 2.08254643e-02 1.37563217e-02 -9.82463243e-04 -6.31471584e-03 9.38641559e-03 2.93909375e-06 8.67839996e-03 1.50604293e-01 1.14609627e-02 8.64543486e-03 -5.35925757e-03 5.18613756e-02 -1.24970794e-01 -1.76386833e-01 2.73390324e-03 6.67601153e-02 -1.76465854e-01 -5.39634563e-03 1.65503666e-01 -2.61681192e-02 1.64539471e-01 -8.39569047e-02 1.43390074e-01 2.65833992e-03 7.31614605e-03 -3.36857443e-03 2.30439007e-02 7.44521320e-02 -9.14780274e-02 -4.94345138e-03 -9.55655277e-02 1.41493585e-02 -5.14170062e-03 4.26902203e-03 7.07877800e-02 1.90719709e-01 1.74903974e-01 3.61840166e-02 1.60399606e-04 -4.98972554e-03 -1.31714597e-01 -1.12336455e-02 -5.44648245e-02 4.07602126e-03 3.92501429e-03 -2.67220638e-03 1.98790118e-01 -8.75581354e-02 -2.08034888e-01 -4.94616339e-04 1.03899710e-01 9.80730057e-02 1.13000512e-01 -7.51291960e-02 1.89722762e-01 -8.11470032e-04 -3.74272987e-02 3.05250622e-02 9.88889113e-03 1.24440556e-02 3.61954197e-02 1.54505357e-01 1.20278142e-01 -3.61139746e-03 -3.43131609e-02 -1.94843821e-02 -4.40251119e-02 -1.74471706e-01 -1.32102519e-02 9.79956761e-02 8.06940068e-03 2.43124086e-03 -4.43235524e-02 3.74070071e-02 2.36841245e-03 -1.77789554e-02 -3.35484301e-03 -4.44257706e-02 -5.76714287e-03] Cos Similarity tf.Tensor(0.7438538, shape=(), dtype=float32) (128,) (128,) [-0.07808409 0.18007432 0.11015954 -0.14782815 -0.02922767 -0.10903947 0.17945474 -0.01136363 0.02847083 0.01566007 0.0979993 0.05567449 0.03593265 -0.16219173 -0.08182199 -0.11852849 0.02124007 0.09835554 -0.18650642 0.01182949 0.1565729 0.06649908 0.04004836 -0.18176134 0.06744626 0.01135713 -0.03666884 0.02789091 -0.04825893 0.03600004 -0.15249892 0.13689527 -0.04815184 0.02929075 0.05655648 0.00423743 0.04617386 -0.1670166 -0.02295407 0.11975043 0.09511203 -0.00258204 0.01790226 0.06031812 0.07886291 -0.1248235 0.00535628 0.06852364 0.05898258 0.00696624 0.01600023 -0.00209821 0.08256862 0.02742781 0.08215626 0.05220679 0.18442309 0.02410073 0.07376672 0.0594907 0.18064548 0.08551499 0.11216029 0.00674378 -0.01233975 -0.01527122 0.02293247 0.00972076 0.05040824 0.11810159 0.09857088 -0.12857313 0.01017558 0.02672134 0.03863792 0.02565123 -0.11066725 0.07996497 0.01530591 -0.20681557 0.07315232 -0.01519793 0.0090932 -0.05256131 -0.06722043 0.04367093 0.12941466 0.0460401 0.02361188 -0.13078837 -0.1566318 0.02225848 0.03466709 -0.01100996 0.04265342 0.16344978 -0.02770519 -0.07052553 0.01831826 0.07647409 0.21345071 0.16790646 0.16959742 0.04513933 0.04186577 0.07445952 0.2156925 0.02768262 0.08437628 -0.04594373 -0.14959107 0.09652811 0.04573655 0.01451444 -0.04587258 0.01516023 -0.0429058 0.01204475 0.01307876 0.03846074 -0.00454827 -0.08169541 0.08485664 0.00780337 -0.04713382 0.01694141 0.00935953 -0.00356943] [ 0.0361248 0.1759145 0.0936906 0.10375651 0.00933815 0.07682592 0.0860235 0.08786543 -0.00095514 0.00718069 0.02302272 0.02086162 0.03153935 -0.02612372 0.08792734 -0.16473095 0.02076831 -0.07113434 -0.15183353 -0.05107585 0.00391734 -0.03726722 -0.01619097 -0.00074203 0.04454942 0.01445124 -0.05302643 0.01561107 -0.10479683 0.10012217 -0.15641028 0.10400216 0.0120874 0.03432445 0.00992283 -0.01941234 -0.00405031 0.06033059 -0.00193423 -0.10298702 -0.04279919 0.00247226 0.00947674 -0.00221099 0.07951244 -0.01998481 -0.10300773 0.01891157 0.02285548 0.0152534 0.01934408 0.00642994 0.02963629 0.01592009 -0.01056314 0.0224967 0.14813307 -0.00316196 0.03502224 0.0210841 -0.11266823 -0.07779013 0.09995948 0.003365 0.13017425 -0.10414121 0.01212141 -0.1313632 0.02834558 -0.05599844 -0.12751839 -0.2275906 0.00311918 -0.00500065 0.00078962 0.03828801 0.1438553 0.17507954 0.00747147 0.13994332 0.02094753 -0.06675961 0.00263932 -0.1742311 -0.2005016 0.15088451 0.22101028 0.03359394 0.02326999 0.13408232 -0.06519471 -0.02759448 0.03739869 0.01959157 0.01168716 0.04823113 0.1517298 -0.21759978 0.00364505 0.14573471 0.14498836 0.12513302 0.01714693 -0.06393295 0.02847538 -0.00602877 -0.08201408 -0.00981955 0.04968288 -0.17375697 0.12140696 0.18935996 -0.00402461 0.06293045 -0.05890195 0.15127467 0.17069091 0.00708777 -0.16103792 -0.01358237 0.00405784 -0.03792721 0.0624 -0.00776023 0.11546075 0.09859012 0.02847 -0.00477813] Cos Similarity tf.Tensor(0.24074869, shape=(), dtype=float32) (128,) (128,) [ 8.78067017e-02 -1.16989620e-01 -5.90111874e-02 1.42007753e-01 -4.36698040e-03 -3.77999619e-03 9.86400917e-02 7.20331445e-03 5.38311107e-03 -1.34729724e-02 1.49649277e-01 -7.97902048e-03 -4.66843229e-03 1.86411723e-01 1.21625073e-01 1.17292568e-01 -1.30461855e-02 -1.46450564e-01 -1.61779419e-01 6.51914999e-02 -1.06806830e-01 -1.78217500e-01 4.18890407e-03 -1.00823350e-01 -1.55371465e-02 1.97848072e-03 -1.28395883e-02 -1.93358231e-02 1.09718420e-01 -1.28307998e-01 -1.81895643e-01 -7.68288299e-02 3.23247677e-03 -1.79718342e-02 -9.86489281e-02 1.66119961e-03 -5.37162228e-03 -1.80214211e-01 -5.30195655e-03 -1.05603777e-01 -1.41084537e-01 3.71387787e-03 7.54189445e-04 -6.41749147e-03 1.55510530e-01 4.17399593e-02 9.25340131e-02 1.49073009e-03 5.67484088e-03 9.81204212e-03 3.20610055e-03 5.32735430e-04 -1.47652710e-02 5.70103386e-03 -6.06651185e-03 6.01058477e-04 1.27270922e-01 -1.43776753e-03 -1.16024995e-02 -7.15631293e-03 -1.91052556e-01 2.13846982e-01 2.28414893e-01 -7.00325426e-03 1.15195341e-01 1.89334899e-01 -9.50236712e-03 1.05685599e-01 4.09396831e-03 -6.44442216e-02 -2.90735923e-02 -3.30958739e-02 1.98221928e-03 2.88325036e-03 -1.31332418e-02 5.66405186e-04 1.50173768e-01 -1.15067840e-01 1.23085186e-03 2.33393162e-01 1.39853335e-03 -2.32415479e-02 -7.66978192e-05 6.03698865e-02 -8.84565040e-02 2.16190994e-01 1.11060910e-01 1.42387785e-02 -7.03304866e-03 -8.25826600e-02 1.04583167e-01 -4.05381657e-02 5.31973364e-03 4.59864410e-03 -8.22238345e-03 -3.18890028e-02 -1.49038946e-02 -6.64784014e-02 -1.31200021e-02 -7.43315220e-02 -7.56974295e-02 -1.77790269e-01 -6.40355572e-02 1.79760754e-01 -1.54304393e-02 4.03333502e-03 -8.01496655e-02 1.41806379e-02 -4.14774148e-03 -1.60228461e-01 7.68176466e-02 1.56908676e-01 -6.78368146e-03 -7.49308243e-02 3.04863625e-03 -8.23912248e-02 8.45062137e-02 -1.53421694e-02 -6.26645237e-02 -1.52454823e-02 -7.37284310e-03 -3.54314898e-03 2.95316946e-04 -1.92993414e-02 -5.34611121e-02 4.46601436e-02 2.69354414e-02 -2.22764979e-03] [-0.21862648 0.18625534 -0.0015622 0.1951859 0.01226981 -0.14328176 -0.14473888 0.06544405 0.00632063 -0.00175553 0.04716087 0.00371473 0.00486313 0.14971262 0.0843992 0.03010061 -0.02306588 -0.20259464 -0.11642437 0.09564382 -0.03229525 0.00519289 -0.0420222 -0.06559795 -0.01224246 0.00640625 -0.02736041 -0.00084286 -0.01465282 -0.15236856 -0.17640986 0.07817183 -0.00736653 0.00317621 -0.20032497 0.010314 -0.000981 0.14637555 -0.00144517 0.05540426 -0.0285676 -0.01056004 -0.00387693 0.00272699 0.03253107 0.09156447 -0.12504545 -0.0024823 0.00817491 0.00565505 0.00117015 0.00084766 -0.01886312 0.00736883 0.01611773 -0.00208914 0.19936785 -0.01057197 0.00269391 0.00518453 0.02310452 -0.0068894 0.12100867 -0.00105058 0.22632758 0.21039596 0.00267149 0.09363782 0.00598097 0.00504811 -0.04754886 -0.07731438 -0.0042495 -0.00160977 0.00073105 0.00373193 -0.19224359 -0.08649962 0.01155375 0.09177265 -0.006517 -0.00514464 0.0004718 0.10458578 0.12606278 0.02480598 0.14594957 0.01085661 -0.00736962 0.11885857 0.21061164 0.17595191 0.00409229 -0.00453816 0.0067011 -0.22859614 0.00223957 0.03575267 -0.00550131 -0.08558588 0.03425387 -0.00245049 0.00217402 0.19860987 0.00055212 -0.0019444 0.01431894 0.01266539 -0.01405882 0.0669476 0.10300966 0.18901587 0.0054566 -0.00948995 -0.06191453 0.06432973 0.14663057 -0.00043976 -0.00317845 -0.00340983 -0.00402024 0.0967304 -0.0202083 -0.02074165 -0.1477129 0.03001749 -0.0377382 0.00332551] Cos Similarity tf.Tensor(0.3577934, shape=(), dtype=float32) (128,) (128,) [ 1.68851629e-01 1.75489113e-01 2.18714215e-02 -1.60376504e-02 3.20522417e-03 3.44132558e-02 -4.93981801e-02 9.11534131e-02 2.83838508e-05 -1.88186541e-02 1.92317277e-01 5.66500565e-03 1.32912304e-03 -1.10083539e-02 1.65874362e-01 1.54588044e-01 -9.82489903e-03 7.00895637e-02 -8.15749392e-02 -1.20871097e-01 1.90499097e-01 1.51638582e-01 -1.27480328e-01 1.51181117e-01 8.71421024e-03 8.36886279e-03 1.20291837e-01 3.47688212e-03 -8.98366868e-02 7.70639330e-02 -1.28729045e-01 9.57027823e-02 7.49942323e-04 -6.52096746e-03 -1.91516191e-01 -4.74910950e-03 -3.91695695e-03 1.59628838e-01 4.23947582e-03 -5.33896424e-02 -1.94595635e-01 -6.86182873e-03 2.64896953e-04 -8.71361978e-03 9.15908366e-02 -1.04897246e-01 -3.19698714e-02 5.50408894e-03 4.42964351e-03 -6.38815155e-03 8.75411928e-03 6.89389324e-03 -4.50390624e-03 9.31692123e-03 -1.19254040e-02 1.03700198e-02 2.00290889e-01 -1.03860889e-02 9.93207190e-03 1.81379053e-03 -2.00159281e-01 3.42930295e-02 -4.12859255e-03 5.38722938e-03 1.63990155e-01 -2.08178580e-01 1.81192334e-03 -4.73843254e-02 -1.27206063e-02 -2.98635382e-02 -9.28489212e-03 -2.01378375e-01 2.66407756e-03 4.58918046e-03 -7.30766822e-03 3.71627649e-03 -6.87077343e-02 -2.09708754e-02 9.34686686e-04 6.27366453e-02 -3.35388863e-03 -5.61108533e-03 -3.52390634e-04 -2.80646048e-02 -1.29476219e-01 -1.88301176e-01 -7.01299533e-02 1.67657919e-02 -1.78932189e-03 -2.05377385e-01 -1.82735264e-01 -3.21647804e-03 -2.19501369e-02 1.26960808e-02 3.80563503e-03 -7.27571920e-03 -1.48933381e-02 -1.40964612e-01 -2.32765032e-03 -7.45618343e-02 1.75062999e-01 -5.26336282e-02 -1.48334160e-01 1.55045399e-02 -9.23538348e-04 -7.65034556e-03 5.43089993e-02 1.30262822e-02 -7.94081949e-03 4.51296270e-02 1.23611718e-01 1.46561265e-01 -5.18958503e-03 6.38959976e-03 -9.81466621e-02 -1.14273541e-01 1.56543076e-01 -4.34974162e-03 -3.94341573e-02 -1.11214269e-03 -8.34875926e-03 7.45093590e-03 1.34070823e-02 1.73724350e-02 -1.39164060e-01 5.98313734e-02 2.48531401e-02 -9.79388412e-03] [ 0.10607744 0.18062603 -0.01474813 -0.07463536 0.00298816 0.0714396 -0.08808042 0.10933661 -0.00985167 -0.01456958 0.15343761 -0.00064003 -0.00941698 -0.03041017 0.18275306 0.04397866 -0.00790869 0.20571083 0.0655627 -0.16335681 0.1259424 0.15909226 -0.15363318 0.1521672 0.00902856 0.00536963 -0.00972206 0.00654613 0.02960706 0.0968768 -0.01962772 0.12915598 0.00493454 0.00139228 -0.20608291 0.00134132 -0.00486347 0.16620834 0.01145924 -0.14342938 -0.17494898 -0.00294095 0.00278959 -0.00357369 0.06936866 -0.16318724 -0.03009353 0.01349609 0.00268208 -0.00241844 0.01013894 0.01313777 0.00286515 0.00550516 -0.01496886 0.00826782 0.16317558 -0.00951719 0.00683872 -0.00415974 -0.20854834 0.04149269 -0.0070558 0.00724563 0.09984939 -0.20022853 0.00603996 -0.1075854 -0.0213593 -0.0320663 -0.01331634 -0.1910361 0.00629375 0.00106192 -0.01347954 0.01173824 -0.11340932 -0.09126282 -0.00603399 0.000691 -0.00458765 -0.00858213 0.00059673 0.00910576 -0.12637956 -0.13124806 -0.10598785 0.01619125 -0.00692083 -0.20822674 -0.21358459 -0.00962941 -0.0142901 0.01590654 0.01024271 0.02152426 -0.05035139 0.0308325 -0.00530719 -0.09388865 0.17165665 -0.06039215 -0.06851784 0.0843415 0.00447295 -0.01173618 0.01362395 0.01290232 -0.00963924 0.16625954 0.01655788 0.137468 -0.00549806 -0.11001857 -0.11755425 0.08365201 0.14233406 -0.00157463 -0.05131659 0.00408776 -0.00685426 0.13546355 0.01488978 0.00435864 -0.06956229 0.07612294 -0.05822974 -0.00917339] Cos Similarity tf.Tensor(0.8440931, shape=(), dtype=float32) (128,) (128,) [ 0.11336736 0.00655092 0.08146624 -0.11150294 0.00025961 0.00409774 -0.09433215 -0.01725071 0.00304997 0.00819999 -0.1836361 0.03115616 0.0364625 0.01635215 -0.07637848 0.11652508 0.02087544 0.11378641 0.00079033 0.00475626 -0.13398324 0.16468763 0.18737781 0.08171768 0.01185983 -0.00984464 0.16812307 -0.00844797 -0.04775918 0.19269055 -0.20148541 0.15191473 -0.00142656 0.01641736 0.00123885 0.01946838 0.01689496 -0.10741075 -0.03327905 0.10410837 -0.13493823 -0.01279638 -0.00083103 0.00276322 -0.00183779 -0.20772403 0.0021979 0.02584618 0.01767765 0.02347297 0.00141976 0.00189666 0.00918168 0.01020858 0.03122727 0.01993865 0.1238003 -0.0074008 0.02985067 0.00690812 0.14634766 0.06846748 -0.11342522 0.02352818 -0.20101823 -0.06292015 -0.00378754 0.15587327 0.01559229 -0.10181629 0.14933707 0.17261446 -0.00185412 0.00372469 0.01677796 0.04020396 0.14118168 0.09701146 -0.01798979 0.1920852 0.00835396 0.00032172 0.0112673 -0.10718761 -0.05291396 0.07758508 0.00251002 0.01071557 0.00071381 0.12436937 0.20268306 0.08398572 0.01958179 0.03229383 -0.00105757 0.01142662 -0.08991972 -0.04128875 0.00424456 0.11184706 -0.12376779 0.12541728 -0.03274468 0.17355482 0.00267038 0.01301763 0.09338468 0.00060744 0.02866762 -0.21850793 -0.11536574 0.13352133 0.00933952 -0.17039464 -0.01112298 -0.00128114 0.13044855 0.01871511 -0.04876216 0.02209578 -0.00817371 0.0050538 0.03201317 0.00230117 0.12252794 0.03496553 -0.02245069 0.00776628] [ 0.02009707 -0.03322177 0.04514147 -0.04006591 0.01766341 -0.00965527 0.12736945 0.06827912 0.00615787 0.00447502 -0.09782337 0.03099575 0.04295107 0.01309232 -0.02236271 -0.08023515 0.04236412 -0.09862418 0.07073802 0.01215564 0.14632179 -0.03649512 -0.17307243 0.05865806 0.0283991 0.01603416 0.14185749 0.02669093 0.0548848 -0.17113586 0.02223976 -0.11379234 0.00445087 0.00360422 -0.09681992 0.02156272 0.019941 0.1553642 -0.02761279 0.1357934 0.17991531 -0.00725463 -0.00327503 0.00526685 0.17422076 -0.06349126 0.06660494 0.03251635 0.0346724 0.00693143 0.01697085 -0.0034986 -0.01359861 0.03488971 0.03926773 0.03142564 0.20476519 -0.00168617 0.04276976 0.02427323 0.20874466 -0.07133176 0.20263088 0.04371782 0.07303488 0.08829151 0.00812467 0.18454807 0.03992053 -0.15129462 -0.09062654 -0.07670685 -0.00301547 0.01211466 0.00606511 0.06008868 0.01033026 0.15429021 -0.00741763 0.16665354 0.02085526 -0.00498056 0.01254612 0.03214333 -0.0665023 0.09709849 -0.00932384 0.01128715 -0.00079611 -0.08568565 -0.04407176 -0.16336535 0.02655848 0.01826687 0.02258619 -0.06438857 0.16714723 -0.10109062 0.01323186 0.1242722 0.19606514 -0.21044773 0.00910399 -0.00418319 0.01477973 -0.00406599 0.04366012 0.0081024 0.02510487 0.00696884 -0.1021636 0.11592195 0.04004218 -0.14355725 -0.04521162 0.22725506 0.07583427 0.01264413 0.18311408 -0.00231487 0.00678122 -0.14471127 -0.00946839 -0.0100928 -0.1868112 0.11180208 0.00903407 0.00395276] Cos Similarity tf.Tensor(-0.052970864, shape=(), dtype=float32) (128,) (128,) [ 2.44803324e-01 2.48090439e-02 8.99975672e-02 8.35580677e-02 -1.21258404e-02 -1.78147946e-03 9.71953422e-02 1.12095892e-01 3.49872001e-03 -2.45488994e-03 -1.07026801e-01 2.45961291e-03 -1.55613348e-02 -6.48845136e-02 1.72689632e-02 5.24460748e-02 1.34725380e-03 -1.31452650e-01 1.43225357e-01 -2.67645866e-02 -1.99765891e-01 -8.32577497e-02 1.00409426e-02 1.19470954e-01 -1.74430702e-02 2.47911690e-03 -3.27375010e-02 6.36154227e-03 -6.55741766e-02 1.02742903e-01 -2.18450189e-01 -4.37596329e-02 1.58074331e-02 1.56176547e-02 1.11277550e-01 2.77966205e-02 1.22581711e-02 7.38370866e-02 1.84827438e-03 -1.36338592e-01 -3.12435124e-02 1.32663606e-03 6.99208025e-03 -5.69189084e-04 -1.06402032e-01 -1.18098475e-01 -1.86464995e-01 1.46711571e-02 9.37686022e-03 2.23534480e-02 6.85478188e-03 6.88614324e-03 -2.46808340e-04 1.06073655e-02 -8.02399311e-03 2.01391187e-02 1.90897822e-01 -1.13858320e-02 1.92138087e-03 1.17447730e-02 -2.38131776e-01 -5.80324931e-03 -1.65578336e-01 2.18286663e-02 2.82680728e-02 1.02906972e-01 1.38104695e-03 -2.64382325e-02 4.21100325e-04 -3.71813513e-02 -5.06853573e-02 5.94483735e-03 2.16176221e-03 6.08247053e-03 -1.85798071e-02 2.22156048e-02 3.44757759e-03 9.75065529e-02 -2.03409302e-03 1.26778945e-01 2.25944724e-03 2.19955426e-02 -5.69333648e-03 2.58336127e-01 4.02158834e-02 -7.26389438e-02 -1.35441590e-02 1.67934503e-02 7.23408395e-03 1.04564592e-01 -2.88735870e-02 -1.90130547e-01 5.45886531e-03 2.29556914e-02 2.62459787e-03 2.03631744e-02 -1.70706362e-01 -2.28365079e-01 9.41255502e-03 1.55623838e-01 2.13213921e-01 1.48313686e-01 1.83391497e-01 9.87949222e-02 1.48537625e-02 8.90674815e-03 3.95831689e-02 -1.71379419e-03 5.21014351e-03 2.00805906e-02 -6.04784861e-02 4.87724096e-02 3.79531039e-03 -1.01658031e-01 -8.17559063e-02 9.62239280e-02 -2.16550991e-01 -5.22985775e-03 1.33146897e-01 -3.71753052e-02 -5.11961617e-03 2.83556599e-02 1.02051627e-02 2.73180124e-03 6.02888316e-02 8.87712538e-02 -1.31053403e-02 -1.65412424e-03] [-0.06162583 0.0282194 -0.09752616 0.16168232 -0.01030333 0.00286805 0.00956022 0.02876309 0.00472026 -0.00288933 -0.14173949 -0.00033728 -0.00829448 -0.10349146 -0.00264064 -0.1619693 0.00270244 -0.18558855 0.21194215 -0.05925288 -0.1618603 -0.03309765 -0.0077552 -0.04316738 -0.01346102 -0.00299348 -0.1457823 -0.00296153 0.04466744 0.10101151 -0.20467731 -0.14368017 0.01694506 0.01090449 0.17710996 0.04568391 0.01766281 0.08904397 0.01370485 -0.18213864 -0.1746701 -0.00377239 0.00660498 -0.00435539 -0.12890905 -0.01387409 -0.16399783 0.02307172 0.00446384 0.01798261 0.01418299 0.00986546 0.00854262 0.00923334 -0.00064401 0.01213482 0.07237379 -0.00507961 0.00595449 0.01122015 -0.22948575 0.05286967 -0.16612549 0.00047956 0.00490519 -0.08653279 0.00369467 -0.18344466 -0.006995 -0.14097506 -0.01344806 0.01027315 0.01276133 0.00705505 -0.00732647 0.0180565 0.01869085 0.02073669 -0.00195245 0.21898209 -0.00891821 0.05185721 -0.01115174 0.22761351 -0.04354684 0.04242973 -0.19241993 0.01767667 0.00163756 -0.06925403 0.0818999 -0.18907064 0.00371193 0.01578087 -0.00318319 0.01655852 -0.02532475 -0.18490759 0.00993135 0.15154761 -0.03886709 0.11002518 0.14168684 0.01535803 0.01822404 -0.00425256 0.11349471 -0.00201868 0.01509666 0.02323418 0.15435009 -0.1121197 -0.02404508 -0.12299305 -0.07430714 0.07637732 -0.09845843 0.0193771 0.03484494 -0.02171681 -0.0050582 0.11594393 0.01442874 0.00805876 -0.02643314 0.06035686 -0.01300516 -0.00573975] Cos Similarity tf.Tensor(0.6332222, shape=(), dtype=float32) (128,) (128,) [ 0.09470836 0.0372778 -0.07791512 -0.16638783 0.05434294 0.00953927 0.11090331 0.01234366 0.0469397 0.00042848 -0.16203296 -0.00297494 0.05521689 -0.03227191 0.00025512 0.1859391 0.07021766 0.06365237 -0.05894742 0.08533732 0.13108616 0.04613516 -0.00229578 -0.13790962 0.07143683 0.00923918 0.15192153 0.02658647 -0.1532106 -0.13369136 -0.11588839 0.03118259 -0.04821251 0.02319564 -0.05466926 0.0188008 0.05796285 -0.21477151 -0.03826946 0.08301478 0.09381765 -0.02223225 0.00195371 -0.01211949 0.03698277 0.02457526 0.00816331 0.0100647 0.04361562 0.02344029 0.00243917 0.00940724 0.05408661 0.03066824 0.06670818 0.02692505 0.03597388 0.00237748 -0.02689215 0.05201411 0.18447772 0.00108924 0.20315236 0.0423193 -0.17141527 -0.17145002 0.00758169 0.08285808 0.03416679 -0.10145992 0.12397736 -0.08784764 0.00647777 0.00343369 0.03891547 0.01776543 -0.10064747 0.14854641 -0.00568861 0.14974834 0.01291046 -0.03404713 0.0171034 -0.04961837 -0.14841405 0.14567399 -0.15038049 0.01053294 0.01042275 0.13704641 -0.05005007 -0.19833215 0.0309061 0.02259348 0.02722046 0.09852184 0.14523903 0.03163449 0.01466536 -0.00764469 0.19649054 -0.0538023 0.2109823 0.14039212 0.02019304 -0.06186373 0.14295778 0.01363347 0.04830111 0.0232249 0.12541617 0.04295497 0.03372336 -0.16300428 0.05087328 -0.0034381 0.06282876 0.02435336 0.11541536 0.07735695 0.02730937 -0.017175 -0.03840284 0.00295195 -0.16010381 0.04242621 -0.06250896 0.02261445] [-9.93138924e-02 1.35679618e-01 9.84240845e-02 -1.11828394e-01 3.19669279e-03 1.71767343e-02 9.19456631e-02 6.07475154e-02 1.35178892e-02 3.06146732e-03 -4.48824242e-02 8.43974017e-03 5.49237104e-03 -1.21510528e-01 7.21433312e-02 1.95318654e-01 6.18738756e-02 -1.16496138e-01 -5.78479543e-02 -1.42922640e-01 -6.67793304e-02 -1.19713940e-01 -7.67240003e-02 1.83015212e-01 1.41079733e-02 -1.47450315e-02 -3.81242745e-02 -2.77346640e-04 1.20348506e-01 4.40810667e-03 9.61484611e-02 2.41345033e-01 -7.38371909e-03 -1.60584096e-02 -2.55261045e-02 -6.27416596e-02 3.97970490e-02 -1.18499301e-01 -3.86528932e-02 1.57539979e-01 -1.67733803e-01 2.83100635e-05 1.78361349e-02 -1.94762126e-02 -3.20061781e-02 1.25000387e-01 5.31156436e-02 1.08538913e-02 3.83112282e-02 2.13040374e-02 3.95297073e-02 1.72092058e-02 5.70178628e-02 2.12535542e-02 7.23842457e-02 5.18763885e-02 9.28626359e-02 -1.83748659e-02 5.41690402e-02 6.32095262e-02 1.35162294e-01 -1.04534686e-01 1.25108853e-01 3.11783236e-02 6.95720762e-02 8.90116617e-02 2.17705406e-02 -1.82364464e-01 6.35671094e-02 -6.81428164e-02 -1.68389142e-01 1.29218608e-01 1.72459427e-02 -9.61850304e-03 1.13358656e-02 6.92477003e-02 -1.48525938e-01 5.65042421e-02 1.82796293e-03 -1.55022532e-01 3.69104221e-02 -9.28012282e-03 4.70664259e-03 -1.31033584e-01 -1.48092687e-01 9.07778442e-02 7.85029382e-02 2.33427100e-02 -4.34747571e-03 -7.18093365e-02 -1.17273524e-01 -1.06775746e-01 3.15112993e-02 4.28279266e-02 4.79361676e-02 -1.68016925e-01 6.86365552e-03 7.29554286e-03 2.28271987e-02 2.24456832e-01 1.74221203e-01 -3.89081538e-02 1.24087445e-01 -3.04714292e-02 3.58976088e-02 -1.91298649e-02 -5.74550182e-02 3.84423658e-02 5.70537113e-02 2.62361281e-02 -3.85432318e-02 1.25270349e-03 2.29592789e-02 -9.70935300e-02 6.67884648e-02 -1.54260710e-01 -1.60330117e-01 7.28428271e-03 -4.35298122e-02 1.75502766e-02 3.42260897e-02 5.42294458e-02 7.33114332e-02 -2.70681805e-04 -2.34316111e-01 -4.83202711e-02 -5.51860407e-02 4.76071704e-03] Cos Similarity tf.Tensor(0.15162016, shape=(), dtype=float32)
(128,) (128,) [-8.92218947e-02 -1.54994158e-02 2.71937493e-02 -1.29777357e-01 -2.40372103e-02 -1.17793204e-02 -1.71135515e-01 -5.15960306e-02 -4.80553042e-03 -4.91701299e-03 3.02110296e-02 3.41427536e-03 -4.26368788e-03 -7.85178691e-02 4.70868461e-02 -1.84702843e-01 -7.77585618e-03 -1.70953855e-01 1.54676676e-01 1.05711527e-01 1.36179738e-02 1.62025034e-01 2.14872509e-02 1.68036371e-01 1.95153139e-03 -2.52214889e-03 5.23712933e-02 -8.54952447e-03 -9.85450894e-02 9.46647674e-02 -1.63011968e-01 -4.74354066e-02 -5.78602171e-03 -1.47599587e-02 1.94312662e-01 -1.01322811e-02 1.07430657e-02 -1.17554061e-01 -1.33066485e-02 -4.89750924e-03 -1.69518337e-01 -4.88290284e-03 -6.55345665e-03 -8.38978402e-03 -6.91254362e-02 -1.24506250e-01 -6.22641966e-02 3.60176055e-04 -3.77369724e-04 -5.93050336e-03 4.59689647e-03 1.31920958e-02 -1.23700248e-02 -2.62984168e-03 -3.91050056e-03 1.52523052e-02 -1.85309723e-01 9.42285266e-03 -5.70817618e-03 2.82881153e-03 -4.76472080e-02 1.33628845e-01 -1.16013125e-01 4.73718252e-03 -5.24782464e-02 -3.71484049e-02 -4.04948276e-03 2.76210811e-02 -3.51374852e-03 -1.56234026e-01 1.53916508e-01 1.25181243e-01 1.09132696e-02 1.02212355e-02 -8.88576079e-03 -1.47437750e-04 1.45119980e-01 -1.59312084e-01 8.79738946e-03 2.97074532e-03 -2.95856548e-03 6.08594622e-03 -8.48154817e-03 -1.51701212e-01 -1.83944941e-01 -1.43545091e-01 -1.00225687e-01 8.33991170e-03 9.00791492e-04 -1.54122114e-01 1.56669749e-03 -1.46024689e-01 1.35879619e-02 5.73334796e-03 8.54029506e-03 -1.64892063e-01 -1.09710760e-01 -1.55481696e-01 8.17343034e-03 1.53633803e-01 1.38182119e-01 3.10099255e-02 8.48030671e-02 -1.77505881e-01 1.78266258e-03 8.63384921e-03 -1.23285532e-01 5.04055880e-02 -3.56342620e-03 7.07178712e-02 -1.15373068e-01 -1.61634997e-01 1.24674579e-02 8.63177851e-02 -3.84020172e-02 -2.01890439e-01 -5.42588495e-02 1.32706109e-02 -3.20892446e-02 8.77069961e-03 -5.25356503e-03 -5.94276078e-02 2.09267233e-02 -1.24358442e-02 1.92764834e-01 4.57378924e-02 -8.97617079e-03 -1.47740508e-03] [-4.72927727e-02 -1.45728439e-01 7.30115324e-02 -1.00473702e-01 -9.79098771e-03 -1.63843445e-02 -1.67696729e-01 9.79333464e-03 -8.22605286e-03 -1.19733373e-02 1.53234765e-01 1.45246917e-02 -1.27791110e-02 2.68641338e-02 2.34777201e-03 -1.90169975e-01 -4.71273996e-03 -1.17161378e-01 1.00158878e-01 -9.27040279e-02 -1.67457238e-02 1.39882743e-01 -1.63210750e-01 1.53995961e-01 4.91889147e-03 2.01376082e-04 1.00188024e-01 1.93015567e-03 -1.98760912e-01 -3.80682051e-02 -1.84656098e-01 -2.19119508e-02 -1.85058657e-02 -4.51602563e-02 1.75379455e-01 2.61208205e-03 7.70976068e-03 -1.90062732e-01 -2.22977921e-02 3.49134617e-02 -1.84326634e-01 1.65681764e-02 -1.23514924e-02 -1.97885279e-02 1.20671298e-02 -1.56259239e-01 -6.24831170e-02 2.80551543e-03 -1.57845113e-03 5.79518406e-03 7.48733152e-03 1.15700178e-02 -7.58817652e-04 7.24391139e-04 -4.28800285e-03 2.14182846e-02 -1.75344363e-01 1.38842175e-02 -2.56145664e-04 8.43062531e-03 -1.17469057e-01 2.47631036e-03 -1.27852485e-01 4.74825082e-03 -1.32000580e-01 -1.67739630e-01 -6.34349708e-04 -1.13105122e-02 7.96663295e-03 -6.47927299e-02 1.49691015e-01 1.23863325e-01 7.83791579e-03 1.62074212e-02 -6.51858328e-03 4.93700476e-03 1.12832241e-01 -1.73409164e-01 1.00827042e-03 3.36535797e-02 1.73144543e-03 3.30522284e-03 -2.08829390e-03 -6.33851513e-02 -1.47934377e-01 -1.26019627e-01 4.37917374e-02 1.28684854e-02 -5.28124766e-03 -1.90681994e-01 -8.44989046e-02 -1.55409738e-01 1.36716943e-02 1.41308419e-02 2.16326714e-02 -1.55231506e-01 -3.77877243e-02 -6.34425059e-02 5.82775474e-03 9.94368345e-02 6.80976873e-03 -6.34712279e-02 1.07207097e-01 -1.26210839e-01 6.55488903e-03 9.19340830e-03 -1.76025227e-01 4.33211923e-02 3.48887569e-03 1.15751758e-01 -2.85049919e-02 -1.37017995e-01 5.58947213e-03 9.94980931e-02 -5.10921068e-02 -1.47299677e-01 -1.44181109e-03 5.20847412e-03 1.41506389e-01 -8.17635003e-03 -8.48652050e-03 -4.46042083e-02 2.41045970e-02 8.12691636e-03 2.04740196e-01 8.18473846e-02 -9.20138322e-03 3.62770422e-03] Cos Similarity tf.Tensor(0.8104826, shape=(), dtype=float32) (128,) (128,) [ 1.68274492e-01 1.06318392e-01 1.35592353e-02 -4.16994654e-02 1.07246882e-03 -4.89648320e-02 1.09472074e-01 2.34077647e-02 -1.12423697e-03 2.01853411e-03 -2.06585437e-01 3.62793170e-03 2.81620845e-02 1.69916332e-01 1.06739014e-01 -1.40480757e-01 1.23143187e-02 6.60580695e-02 1.41745582e-01 1.01069480e-01 -1.19369932e-01 -1.89228281e-01 -4.73680794e-02 -1.62631094e-01 1.81209650e-02 -5.91109693e-03 1.11504398e-01 1.65175006e-04 1.70046717e-01 -8.85811970e-02 -1.84007674e-01 -3.76491547e-02 1.87845565e-02 2.04809420e-02 -3.74053954e-03 2.97951349e-03 1.17365262e-02 -6.03806227e-02 -2.97380649e-02 6.34734854e-02 8.39665830e-02 -1.10877426e-02 -6.76996261e-03 1.75138505e-03 6.53624302e-03 1.44601002e-01 5.10750301e-02 2.44701896e-02 1.70681775e-02 2.14998592e-02 7.28319492e-03 1.87210515e-02 1.02639310e-02 1.42396027e-02 4.13799053e-03 6.21487387e-03 4.53410596e-02 -6.88531762e-03 -7.71795749e-05 3.42930877e-03 1.36461556e-01 1.26411855e-01 5.56251183e-02 -7.95655418e-03 -1.44372061e-01 1.15403511e-01 -8.30456149e-03 5.69417737e-02 2.14270223e-02 1.22561656e-01 -8.89891163e-02 -3.44897597e-03 1.62114296e-02 1.64642377e-04 -6.93493057e-03 1.49302725e-02 1.80755422e-01 3.97947021e-02 2.38423818e-03 -7.25376010e-02 4.61289863e-04 -4.10996079e-02 6.02739956e-03 6.92532882e-02 -1.87875375e-01 8.24198350e-02 1.11973427e-01 6.97607454e-03 -2.59747409e-04 5.37876040e-02 1.05800420e-01 6.70375004e-02 1.06721250e-02 3.46055883e-03 5.43299038e-03 1.23303585e-01 -1.30206808e-01 -2.12897420e-01 3.93834338e-03 -1.67513326e-01 1.70194566e-01 -1.84712168e-02 -3.62325497e-02 -7.41489455e-02 -4.64824168e-03 -1.07825296e-02 2.12426126e-01 3.90040036e-03 1.16604399e-02 -1.94137678e-01 -4.35247133e-03 -6.15237132e-02 6.66084886e-03 -1.09526347e-02 3.72905508e-02 1.70768112e-01 1.80254370e-01 -9.23794135e-03 -1.02622971e-01 6.28516451e-03 -1.58838592e-02 2.03541458e-01 -1.14288386e-02 -2.73338482e-02 -1.79117113e-01 2.02706940e-02 -3.12552564e-02 -2.55870959e-03] [ 1.96329951e-01 2.74750926e-02 8.17634910e-02 -1.52610689e-01 1.77597941e-03 -2.13477444e-02 1.38663337e-01 1.07614823e-01 7.31123425e-03 6.53088652e-03 -1.33462176e-01 1.22394832e-02 3.56032290e-02 1.52427867e-01 9.17223319e-02 -1.51008546e-01 1.46294269e-03 9.01444629e-02 1.97708532e-01 1.08266965e-01 -1.46699301e-03 1.00313812e-01 -8.37484226e-02 7.80488700e-02 8.29348154e-03 2.29060347e-03 1.24149710e-01 -1.56681407e-02 8.94598812e-02 1.75823823e-01 -1.07062176e-01 1.95117459e-01 1.07151149e-02 1.59408245e-02 -1.40041009e-01 7.33776949e-03 -9.44697298e-03 5.68476319e-03 -1.00983102e-02 7.00630620e-02 -3.08372620e-02 1.54783262e-03 7.60700973e-03 1.81292568e-03 -4.04584222e-02 1.75675228e-01 1.50415227e-01 1.20967338e-02 1.32560916e-02 3.24002979e-03 1.75554503e-03 9.69263818e-03 7.28527550e-03 7.22322613e-03 1.44095430e-02 1.47137484e-02 7.43252337e-02 -8.39001779e-03 3.87058686e-03 -2.59754458e-03 -3.65182362e-03 -6.09121807e-02 1.35133803e-01 -1.41180754e-02 -1.40847206e-01 -4.89127301e-02 -7.66006904e-03 1.59800462e-02 1.47400517e-02 1.31776869e-01 1.33601919e-01 -2.68061254e-02 3.97564756e-04 5.49624534e-03 4.90176491e-03 -1.94676640e-03 1.80286050e-01 -5.68519160e-02 1.30790321e-03 6.09630495e-02 2.89851474e-03 -6.99223951e-04 1.05179930e-02 -5.08372150e-02 -2.06709221e-01 1.51611418e-01 -4.17320170e-02 1.21225361e-02 6.11742202e-04 1.13004565e-01 -1.23280220e-01 1.35413766e-01 2.70096771e-03 1.07802656e-02 2.28770766e-02 1.60636127e-01 -1.72116086e-01 -1.29925400e-01 2.06734729e-03 -1.08285233e-01 1.75094336e-01 1.17557094e-01 8.22680965e-02 6.69023842e-02 1.30701097e-04 -1.42138323e-03 1.82098955e-01 2.73232651e-03 1.22492258e-02 -1.84134841e-01 9.15490016e-02 7.92225078e-02 1.58457714e-03 -2.37643644e-02 -2.45322031e-03 -1.69527866e-02 9.00162160e-02 -1.31652402e-02 -2.00158104e-01 3.73477326e-03 -1.31175313e-02 1.91240445e-01 -2.37754881e-02 -3.02336775e-02 -4.06455211e-02 3.12769115e-02 -4.62261997e-02 -3.21513857e-03] Cos Similarity tf.Tensor(0.5832139, shape=(), dtype=float32) (128,) (128,) [-9.23343748e-02 -1.95379123e-01 -5.64505607e-02 -1.65258557e-01 8.11260380e-03 -4.25849892e-02 -3.18774693e-02 1.86405908e-02 1.46414312e-02 1.82398176e-03 1.78398490e-01 8.53867550e-06 3.47650803e-06 1.19653076e-01 6.50622770e-02 -7.31538907e-02 -4.62194113e-03 -1.26244932e-01 5.21566607e-02 -3.86284781e-04 6.54576346e-03 1.75575346e-01 3.20247002e-02 1.13617741e-01 -1.33795384e-02 1.21214371e-02 -6.58775039e-04 -1.58903413e-02 -1.79260924e-01 -1.43214315e-01 -1.06987283e-01 1.28089190e-01 -1.13943415e-02 -2.45541940e-03 -7.10237995e-02 3.57979126e-02 1.86190400e-02 -1.78130358e-01 -1.83210988e-03 7.37540871e-02 -1.69813130e-02 -8.35988484e-03 -1.23825239e-03 6.43079681e-03 4.88268472e-02 1.46890640e-01 -1.26687754e-02 6.93982281e-03 2.29608547e-03 1.74405910e-02 8.26234638e-04 8.64758913e-04 -5.21071628e-03 -7.83394280e-05 1.53259402e-02 7.01615820e-03 -5.56435287e-02 -4.88734245e-03 -2.57448922e-03 7.54732918e-03 -1.62343591e-01 1.33792043e-01 1.63869664e-01 1.55678140e-02 -3.82354483e-02 1.64375365e-01 1.91057147e-03 1.15253001e-01 1.39591321e-02 9.41084847e-02 -1.35411024e-01 -1.63047194e-01 -5.02885971e-03 1.48436325e-02 -4.48077265e-03 6.70888228e-03 1.41682208e-01 -1.57272995e-01 4.36335336e-04 1.59781218e-01 -8.01580865e-03 -2.48961467e-02 8.37946031e-03 1.90351918e-01 -1.65662751e-01 -7.93026909e-02 -1.61035992e-02 1.19873229e-02 -6.93935994e-03 1.06405757e-01 1.84167638e-01 1.07271440e-01 1.67921733e-03 1.11645833e-02 -1.08257020e-02 1.11706316e-01 1.73750937e-01 -7.33467052e-03 -1.62210711e-03 1.56581342e-01 1.49809673e-01 1.54318854e-01 1.14811271e-01 -1.52597576e-01 6.74752984e-03 -5.65832481e-04 1.28384709e-01 1.04300855e-02 1.73425046e-03 -1.00610614e-01 -7.40191853e-03 8.37566331e-02 -8.42412934e-03 -1.38591245e-01 -1.42675648e-02 1.81268990e-01 7.91731775e-02 7.69819744e-05 -1.42093580e-02 1.13721108e-02 -6.76946901e-03 1.27004474e-01 -1.55148946e-03 -3.30789052e-02 -1.33806810e-01 -1.87538546e-02 -5.02374209e-02 5.81376720e-04] [-0.10159441 -0.2023391 -0.08689491 -0.17185389 0.00344719 -0.03384978 -0.03181304 0.03049561 0.01207964 -0.00241569 0.2016681 -0.00337964 -0.00334842 0.12379777 0.06763674 -0.04407023 -0.00902017 -0.13468061 -0.02801632 0.07901057 0.00619687 0.19508316 0.01435323 0.14126663 -0.02291986 0.0073493 -0.03474558 -0.00989818 -0.19535476 -0.17073551 0.04034716 0.05760358 -0.00796115 -0.00789682 -0.11799407 0.05386534 0.01136326 -0.18110049 -0.00049312 0.09411581 -0.01917957 -0.00888496 -0.00094664 0.00693734 0.04783695 0.10353761 -0.09601174 0.00511062 -0.00097302 0.01197814 0.00081083 0.00034656 -0.00991007 0.00080832 0.00935425 0.00619059 -0.07916453 -0.00117261 -0.00614557 0.00470641 -0.16979674 0.14413285 0.1641619 0.01008019 -0.02185496 0.17199789 -0.00232117 0.11866527 0.00830465 0.07449461 -0.14266244 -0.17716393 -0.00355409 0.01187104 -0.00294226 0.0029172 0.1267015 -0.1690302 0.00403958 0.12832364 -0.00986086 -0.08238884 0.00708436 0.19860019 -0.09071983 -0.10742301 -0.03926349 0.01082193 -0.00871971 0.09982207 0.19159119 0.06572307 -0.00286359 0.00696322 -0.01396134 0.04589168 0.18994628 0.07719123 -0.00175192 0.16319725 0.1000344 0.15614684 0.10494198 -0.16465501 0.00590956 -0.00366661 0.01242111 0.01166558 -0.00905505 0.05753919 -0.00906128 0.10515933 -0.01169334 -0.14815335 0.00464723 0.17736614 0.01840989 0.00077029 -0.06474859 0.00370402 -0.00351743 0.10847954 -0.00104764 -0.03288262 -0.09482564 -0.03491329 -0.04579289 0.00462788] Cos Similarity tf.Tensor(0.9320125, shape=(), dtype=float32) (128,) (128,) [ 2.90687359e-03 1.23827033e-01 -3.96382101e-02 1.35466367e-01 9.97081771e-03 -2.48300079e-02 -6.65788800e-02 4.20992002e-02 2.01088167e-03 -1.80620380e-04 1.80064470e-01 -6.80878246e-03 -1.21974563e-02 -1.66362703e-01 -6.28057718e-02 2.26825744e-01 7.80284032e-03 -1.01873837e-02 4.30437624e-02 -1.01773463e-01 -2.21925765e-01 -1.70113117e-01 -1.49523407e-01 4.37462069e-02 2.73046084e-02 1.16023254e-02 1.11579090e-01 4.65358282e-03 9.48125571e-02 1.91897437e-01 -1.02694876e-01 1.97416663e-01 1.87097620e-02 -1.01666655e-02 -5.64549156e-02 -1.97368860e-02 2.94037759e-02 8.05403069e-02 9.15224024e-04 6.91841990e-02 -2.21866682e-01 1.85649749e-02 -2.96605681e-03 -3.18148732e-03 -2.62757018e-02 2.69425213e-02 8.64232183e-02 1.74337495e-02 1.72106288e-02 4.49333452e-02 1.38268275e-02 2.99544190e-03 3.62522453e-02 1.41015174e-02 1.64648462e-02 1.89846884e-02 1.05363660e-01 -1.68751217e-02 7.43329898e-03 2.06254376e-03 -8.91916752e-02 1.71036303e-01 1.02797829e-01 6.03232440e-03 -1.63895637e-01 1.94623915e-03 4.38181497e-03 8.95699393e-03 1.75885705e-03 3.30146402e-02 8.61656517e-02 7.77917430e-02 -7.36417202e-03 -6.45840121e-03 -9.11881309e-03 2.14022747e-03 7.56485909e-02 1.36293963e-01 3.69397388e-03 -1.07647277e-01 4.64207120e-03 -5.97982993e-03 -5.78311924e-03 -5.27522862e-02 -1.42860636e-01 -2.40915809e-02 1.88983619e-01 2.13501304e-02 5.72222658e-03 1.25970110e-01 -1.34753063e-01 -3.63357156e-03 7.64736719e-03 1.89632792e-02 1.88977867e-02 1.86034620e-01 1.28705144e-01 -1.97191775e-01 4.74703172e-03 1.56644151e-01 1.76259354e-01 4.84878048e-02 -1.73951447e-01 1.83677331e-01 8.60932376e-03 1.16102099e-02 -3.60248331e-03 -1.39556441e-03 1.72501821e-02 -1.05218299e-01 3.15795951e-02 9.15321242e-03 -2.84494041e-03 -1.55535880e-02 -9.66991261e-02 -1.12138331e-01 -2.71817707e-02 -1.06261680e-02 1.16214538e-02 7.15867663e-03 9.25259478e-03 1.19827464e-01 3.81579436e-02 -1.71763822e-02 -2.05584839e-01 2.55674273e-02 3.90109164e-03 -1.36508653e-02] [ 0.10677879 0.0905921 -0.01228115 -0.199394 -0.02605263 -0.03172601 0.06538492 0.05277628 -0.00041501 0.00029963 -0.12722333 -0.0090858 -0.00288464 -0.02112045 0.08014242 -0.04525816 -0.01575756 0.11186523 0.20468836 -0.07054226 0.03006787 -0.16563056 -0.18250436 0.08104393 -0.00397937 0.00747379 0.13714997 -0.0139717 -0.03123689 0.13902637 -0.19113329 0.16570711 -0.01118102 -0.01687098 -0.0370266 0.00301885 -0.01226079 -0.13128594 -0.00404222 -0.11658162 -0.11882863 -0.00483191 -0.00369386 0.00834045 -0.01453334 0.04203464 0.116792 -0.00196064 0.00991834 0.01764604 0.00634593 0.00091834 -0.02043058 0.00493298 -0.01195445 0.00635913 -0.01384175 0.00216672 -0.00078793 -0.01751598 -0.06742907 0.0228985 0.09292842 -0.00640369 -0.08975437 -0.01355821 -0.00780541 0.0849514 -0.0260454 0.08898588 -0.12331173 0.08437347 -0.00276385 0.00093065 -0.01057643 0.01142118 0.12281915 0.14761692 -0.00039233 -0.07077431 -0.02226413 0.01520855 0.00189074 0.00676563 -0.05986885 0.18938556 0.2331973 0.00713787 -0.00694098 0.01645361 -0.01231223 0.17064223 -0.00162573 0.00768188 -0.00124312 0.16544463 -0.03549962 -0.06151362 -0.01046114 -0.02519879 0.17797524 0.16295421 -0.16318694 -0.0175419 -0.01255591 0.00100604 0.23804456 0.00027218 -0.00759097 -0.10040478 0.01643673 -0.25204635 -0.00506272 -0.02086809 -0.01685348 0.21079879 0.07058793 -0.01778273 0.00935493 -0.03041012 0.00138204 0.23863178 0.0053724 -0.02849607 -0.15559871 0.0158821 0.0371691 -0.01620204] Cos Similarity tf.Tensor(0.39343905, shape=(), dtype=float32) (128,) (128,) [-0.03695677 0.16826966 0.01567324 -0.04681769 0.00482064 0.02818786 0.02010819 0.0448239 -0.00972901 0.01098675 -0.16638625 -0.01459929 0.00303407 -0.08275483 0.12364513 0.14068788 0.00820283 0.12568119 -0.05433412 -0.14031643 0.09652463 -0.08291492 0.14304405 -0.04823442 0.03442545 -0.00956553 0.00299585 0.01061514 0.17434351 0.15276983 -0.19297184 0.1607647 0.00817621 0.01083643 -0.10549209 0.00835822 0.01506912 -0.10640915 -0.02710513 0.01669272 0.15506895 -0.00935105 -0.00268103 0.00443453 0.07627627 0.18020573 0.14185412 0.03407061 0.0201621 0.03705886 0.00493904 0.02375376 0.02313137 0.00967453 0.00989605 0.01810517 -0.08988318 -0.00506398 0.00668416 0.01030208 0.12278019 0.10095377 0.11875997 0.00309341 -0.14282529 0.09985034 0.00513256 -0.14029835 0.02920981 0.14634569 0.06187944 0.1182683 0.00302805 -0.00046295 0.01723169 0.01007841 0.14452554 -0.03614683 -0.00481994 0.03247351 -0.01485955 -0.00471843 0.01891809 -0.09987891 -0.1589683 0.16136076 -0.04747257 0.00621693 -0.0112906 0.14728846 0.07018055 0.06932044 -0.00545904 -0.00617089 0.01401039 -0.08770238 -0.15498658 -0.06436913 0.0124034 0.10752944 0.18671802 0.09713861 0.1773816 0.15493906 0.00510711 -0.00643212 0.18577728 -0.00301329 0.02352781 -0.19773541 0.03805944 0.09152839 0.0227947 -0.08306359 -0.00187556 -0.01235439 0.04291158 -0.00095214 0.11585533 0.03344167 -0.01073678 0.17141618 0.01737037 -0.01782029 -0.1871311 -0.00071472 -0.09906051 -0.00056582] [-8.31142589e-02 8.84168670e-02 -4.09944803e-02 -9.02347267e-02 1.77565608e-02 5.61774299e-02 1.61963418e-01 4.71070148e-02 -1.08227003e-02 6.55957265e-03 7.91167747e-03 2.00037821e-03 -1.61053857e-03 -3.10377367e-02 6.91345707e-02 1.36103034e-01 2.50165407e-02 -9.82441474e-03 1.76677704e-01 -9.41551104e-02 1.25449151e-01 -8.28077272e-02 1.18772395e-01 9.71686393e-02 5.26713468e-02 1.40764015e-02 -8.69945362e-02 1.91218369e-02 -1.27440393e-01 1.72510460e-01 -2.12141916e-01 -1.82650879e-01 5.76563878e-03 -3.08977179e-02 2.34199315e-02 -3.43900733e-02 3.16291563e-02 -4.31988053e-02 -4.83012050e-02 1.96330287e-02 1.14782833e-01 5.38364332e-03 -3.79878422e-03 1.07771754e-02 1.80983454e-01 5.25572971e-02 1.00982962e-02 3.19998972e-02 2.65963152e-02 1.93200018e-02 1.11380790e-03 1.20138479e-02 -6.71256939e-03 1.34978397e-02 -1.72749963e-02 1.62030067e-02 -1.52083516e-01 -1.18214050e-02 2.31239125e-02 1.67410411e-02 -2.59885821e-03 -1.70677826e-01 5.62607264e-03 1.35809807e-02 9.27413404e-02 -4.91277054e-02 6.65431842e-03 -6.20098002e-02 4.34385277e-02 1.41183972e-01 1.82537720e-01 2.14547098e-01 -7.09883217e-03 6.96377829e-03 1.38136242e-02 3.61080989e-02 -7.07280859e-02 1.66842833e-01 8.55511893e-03 -1.50800362e-01 9.78863426e-03 -4.85768402e-03 1.88459121e-02 -1.14179604e-01 -1.13084681e-01 -6.47545829e-02 1.68699622e-01 5.53271873e-03 -6.19654311e-03 -1.95841417e-02 -1.38753533e-01 -1.96380571e-01 1.08126402e-02 1.42559158e-02 1.01613197e-02 6.99146930e-03 2.21563339e-01 -1.80927977e-01 1.08642550e-02 4.65064682e-02 1.69534281e-01 1.04850695e-01 1.56374890e-02 2.05378175e-01 1.17122550e-02 -1.92564670e-02 3.17022428e-02 1.06406752e-02 2.82532983e-02 -1.97464511e-01 -7.22945035e-02 1.36166021e-01 2.89813131e-02 -2.03326065e-02 9.44167376e-02 9.87064838e-02 1.59132823e-01 2.24046651e-02 -2.42544599e-02 1.06407925e-02 -1.47119776e-04 -7.52334902e-03 4.34842929e-02 -2.68588937e-03 9.61689949e-02 5.33862859e-02 -2.39691138e-03 -1.08129084e-02] Cos Similarity tf.Tensor(0.26932788, shape=(), dtype=float32) (128,) (128,) [-0.10478195 -0.09209767 0.05602492 0.08320744 -0.04315977 0.00669607 0.13702635 -0.21253128 0.00990099 -0.00188715 0.04981393 0.00109231 0.0099127 -0.08279055 -0.12329125 -0.09685706 0.00332738 -0.14176434 -0.2367333 -0.14347553 0.01194334 0.13055092 0.03928223 0.12196524 -0.0419009 0.00452834 0.13002618 -0.02812075 -0.02763976 -0.19367175 -0.16362649 -0.16177472 0.00777331 -0.01103511 0.08201499 -0.01642707 0.0044965 -0.19856681 -0.00029205 -0.02392887 -0.12837999 -0.00285611 -0.0008207 -0.00260088 -0.22455394 0.03760195 -0.07945223 0.0045409 0.01136207 -0.00381269 0.00756169 -0.00466437 -0.01443249 0.00371806 -0.0114304 -0.00748065 -0.16723397 0.00703984 0.01099638 -0.00191091 0.1015088 0.11937983 0.08987657 -0.03087534 0.16074349 0.04467906 -0.0161015 0.02495877 -0.02115569 -0.02135221 -0.06320856 -0.0781887 0.00061903 0.00698788 -0.00746104 0.00975916 0.22902843 0.09107388 -0.00247205 0.1581522 -0.00595285 0.02591808 -0.01820573 0.00659943 -0.12121069 0.01958489 0.07633699 0.00335697 0.00066086 0.21418108 0.17627287 -0.0304874 -0.01130332 0.00369138 0.00083582 0.20080444 0.0223471 -0.09767046 -0.00354671 0.23763244 -0.00157149 -0.05117502 -0.10309509 -0.11878038 -0.01677814 -0.01448861 0.04698027 0.01266525 -0.00511211 0.09274802 0.01840811 0.08733176 -0.00694119 -0.02150695 -0.00913969 -0.13186766 0.05239255 0.00386214 -0.04053903 -0.00432494 -0.00206038 0.03146008 0.01558142 -0.0158936 0.19323342 0.04451861 0.05014456 -0.01220431] [-3.52498032e-02 -2.48750374e-02 6.42478541e-02 1.25644222e-01 -1.42744584e-02 1.62120704e-02 4.76085432e-02 1.34014115e-01 7.50540476e-03 1.53466957e-04 -5.17007746e-02 4.52468172e-03 -1.13290260e-02 4.48207296e-02 2.44759545e-02 1.05020270e-01 1.70121398e-02 5.72330458e-03 -1.65798128e-01 -9.36938897e-02 -6.54662177e-02 6.19188650e-03 6.14782423e-02 9.62278470e-02 1.24828937e-02 4.44766041e-03 -1.32887095e-01 -4.92329523e-03 -1.28475174e-01 2.35798322e-02 1.55867666e-01 -1.95728153e-01 -8.46506190e-03 -5.45841735e-03 1.11190401e-01 -4.83963219e-03 -7.23278848e-03 -1.73387192e-02 -3.74695845e-03 1.64997637e-01 -7.36632794e-02 1.74842943e-02 4.45914036e-03 -4.57308767e-03 1.90650940e-01 -4.08818247e-03 6.34310842e-02 8.82509910e-03 2.12912336e-02 8.94403458e-03 3.13415914e-03 2.00556335e-03 3.11802025e-03 1.22601632e-02 2.39169747e-02 1.25293732e-02 -1.75426692e-01 -2.39605037e-03 6.83381641e-03 1.14514660e-02 -1.47188872e-01 1.28222808e-01 -1.22150540e-01 1.26230475e-02 -7.27021843e-02 1.71460018e-01 8.03284999e-03 1.25124231e-01 2.46896688e-03 3.80204543e-02 2.66314242e-02 2.03688398e-01 8.64024973e-04 1.94770526e-02 9.13724583e-03 2.28735562e-02 3.25917341e-02 -7.52347931e-02 -1.01374625e-03 -2.18213856e-01 -7.30245514e-03 -1.76076763e-04 -8.60167202e-03 9.21764374e-02 -1.36662275e-01 2.28882402e-01 2.21566975e-01 1.02758929e-02 1.62297091e-03 2.64148824e-02 1.80042401e-01 -1.11626878e-01 1.65275354e-02 2.17258539e-02 6.44168910e-03 -6.45322427e-02 2.22129300e-01 -1.67368650e-02 -1.23245325e-02 -2.08608923e-03 2.08346099e-01 2.18697451e-02 -1.47635132e-01 9.95097235e-02 5.44866407e-03 1.67816021e-02 -9.03648585e-02 -1.34168193e-02 -1.19327838e-02 1.92641422e-01 -1.84973553e-02 7.76909962e-02 7.77170761e-03 -1.21314883e-01 -6.12314939e-02 -6.59080595e-02 -2.82401429e-03 -3.48080602e-03 -1.90827876e-01 -6.55522197e-03 3.56637919e-03 8.95778090e-02 2.89644375e-02 -9.70805436e-03 1.97191000e-01 6.08745590e-02 -1.49375219e-02 -7.88495131e-03] Cos Similarity tf.Tensor(0.12538464, shape=(), dtype=float32) (128,) (128,) [ 0.10009617 0.12979938 0.0019011 -0.08253233 -0.01109577 -0.04587587 0.1858663 0.06706525 0.00699855 -0.00823687 0.20078664 0.02397971 0.02350342 0.06523814 0.0286296 0.04720362 0.00675169 -0.08634781 -0.1072383 0.16998525 -0.12089609 -0.02270719 0.18337381 0.01174292 -0.00232662 0.01623059 0.21182598 -0.03617053 0.17164703 0.07247681 -0.13383786 0.03271649 0.02469147 0.02303693 0.0820628 0.02223837 0.01611306 0.0483719 -0.01320286 0.13067989 0.09393719 -0.00194665 -0.001376 -0.00759116 0.18361132 -0.07845314 0.02517217 0.00807032 0.00882651 -0.00688651 0.00789595 0.01032951 0.01663302 0.0119437 0.02072881 0.02187415 0.15143453 -0.03749025 -0.008746 -0.00277153 -0.03995575 0.20371662 0.18829054 0.01670635 -0.17825337 -0.21932769 -0.00610513 -0.005674 0.00798634 0.03292902 0.11596426 -0.00303221 0.00893914 0.02400351 0.00115187 -0.01033724 0.03145038 0.07248765 -0.00238437 0.06437583 -0.00524343 -0.00778985 0.00034553 -0.01024182 0.0751868 -0.17433238 -0.15183203 0.01270162 -0.00056477 -0.09958535 -0.08101311 0.04964251 -0.00087295 0.01932961 -0.00078576 0.13254373 0.15091349 -0.11784976 -0.00044184 -0.19883533 -0.088689 -0.13767976 -0.05079331 -0.08433879 -0.00296049 -0.01295602 0.07127004 0.00269172 -0.00648523 -0.17907909 0.15919755 -0.05273691 0.00043532 0.02555735 -0.13036987 0.15273206 -0.0435196 -0.00966186 -0.1346186 -0.01695331 0.00501928 -0.083732 -0.00996824 -0.01110249 -0.21690601 -0.02155164 0.0142979 -0.0090845 ] [ 0.13794716 0.02806221 0.03093356 0.08432774 -0.00844415 -0.00480853 0.11795685 -0.17357521 0.01668305 0.00383547 0.0552146 0.00672914 0.01996616 -0.14696634 0.1485098 0.13904832 0.00701896 -0.0982537 0.06805254 0.01047533 0.08535338 -0.15598913 -0.14923672 -0.03764632 0.01175492 0.00626553 -0.10490186 -0.00958059 0.09313596 -0.15635525 0.08472279 0.14077787 0.01695531 -0.01840194 0.03823107 0.00140127 -0.00759973 -0.19189349 0.01238115 0.15280803 -0.11378572 -0.00231705 0.00609066 0.02629119 -0.20909455 -0.1282325 -0.16178946 0.01818255 0.01524036 0.01906152 0.01193646 -0.00178536 -0.01758636 0.00679362 0.00980068 0.00051138 0.17489702 -0.00385929 0.01869306 0.00028111 0.18175928 -0.2112499 -0.07658015 0.00685963 -0.00231768 0.22104844 -0.00784758 0.09035102 -0.00243721 -0.00155175 -0.06348711 -0.18372008 -0.00201049 0.00502615 -0.00747879 0.02664064 0.009261 0.16612345 0.00330542 -0.11342622 0.01645797 -0.00178223 0.00084081 -0.17509307 -0.19330536 0.03674404 -0.02261874 0.01364524 0.00398414 -0.06716673 0.20433037 -0.08539172 0.00756347 0.00717812 -0.00933801 0.04506478 0.00115411 0.14530484 -0.00406166 0.06581221 0.03251888 0.00695912 -0.12617955 0.19177233 -0.01289355 -0.00580814 0.04746512 0.01185812 0.01541827 -0.09317203 0.12287831 0.11310937 0.00581919 -0.06628259 -0.03126682 0.01191087 -0.12541452 0.00650183 0.09616098 -0.02902139 0.00370037 -0.01517549 0.02473854 -0.00532013 -0.13375698 0.1005012 0.01336898 -0.00029637] Cos Similarity tf.Tensor(-0.14772722, shape=(), dtype=float32) (128,) (128,) [-1.98453188e-01 8.89964551e-02 -1.17598265e-01 2.80983765e-02 -5.02993865e-03 -1.09858038e-02 3.96093391e-02 4.33745086e-02 8.24069791e-03 2.60180840e-03 -1.37368679e-01 -9.26318672e-03 1.02329673e-02 4.43335995e-02 1.22919129e-02 1.01220965e-01 -7.65760290e-03 1.55263871e-01 2.00603724e-01 -1.37019560e-01 2.11780921e-01 -3.91003378e-02 -3.05745788e-02 -5.74490661e-03 8.17167293e-03 9.33848787e-03 1.87626898e-01 -1.21404380e-02 -1.58613756e-01 1.86896801e-01 -2.56299879e-02 1.68432012e-01 -4.83189570e-03 -1.80118587e-02 -1.65818911e-02 -5.10018654e-02 1.39217675e-02 1.62056684e-01 -9.96956788e-03 -5.72812967e-02 1.76484101e-02 6.83951052e-03 -1.09263661e-03 -6.54081814e-03 -9.41705629e-02 1.35699451e-01 -6.32219613e-02 1.14336973e-02 -1.78828952e-03 1.28066456e-02 5.97688230e-03 7.91599415e-03 9.79625341e-03 2.73339055e-03 6.34167064e-03 1.80752818e-02 -1.85906172e-01 -2.25549713e-02 3.83483595e-03 -1.17297349e-02 -5.70712518e-03 -1.71952575e-01 -1.73796728e-01 1.61640961e-02 6.96324930e-02 1.03050016e-01 -1.14904661e-02 1.12296283e-01 1.73844658e-02 -2.33897477e-01 3.09462342e-02 4.39806059e-02 1.90900711e-04 6.56237500e-03 3.91462026e-03 9.37426183e-03 1.90813392e-02 -4.24157828e-02 4.76931564e-05 2.49645859e-01 -1.13316560e-02 -4.36368138e-02 -2.24243663e-03 -1.58017412e-01 4.76200245e-02 1.17804892e-01 -8.45999122e-02 1.49246333e-02 -2.55339895e-03 9.54099447e-02 -3.46716940e-02 -9.55723301e-02 -1.32662067e-02 1.85460541e-02 1.22666936e-02 -2.23642513e-01 1.36033702e-03 1.88034177e-02 -1.68070793e-02 1.24385923e-01 -2.34729633e-01 5.52193746e-02 -1.16433330e-01 2.14479089e-01 -1.16362013e-02 -1.13214469e-02 -3.51227336e-02 -5.55603905e-03 -7.30874995e-03 2.41232514e-02 -1.14582248e-01 -7.12298006e-02 -3.51371174e-03 8.84642303e-02 2.25755386e-02 1.48977652e-01 1.87156182e-02 1.79655489e-03 -4.70720232e-02 -3.05721024e-03 6.47339504e-04 1.38046756e-01 -3.99201596e-03 -1.28765348e-02 -7.90956244e-02 3.16265374e-02 -4.02077585e-02 -1.05523719e-02] [-1.4258881e-01 1.0718692e-02 -1.5706105e-02 3.5985033e-03 -4.6239006e-03 -6.4509287e-03 -6.6303776e-04 9.7554512e-02 1.9127307e-03 -1.6486702e-03 -7.8734070e-02 2.8243216e-03 2.1778433e-02 2.0462373e-01 -3.3697173e-02 1.7143738e-01 5.2132360e-03 4.9953870e-02 1.7316252e-01 -1.3601322e-02 2.2075397e-01 8.6667210e-02 -2.7403707e-02 -1.2115434e-01 1.5044370e-02 4.2147897e-04 2.4643779e-01 1.1682147e-02 9.8816082e-02 -1.1101496e-01 1.0267633e-01 2.3414835e-01 -1.8423600e-02 1.6058961e-02 -1.4245126e-01 -2.6303615e-02 -3.3974547e-03 1.8753983e-02 -2.2096869e-02 -1.6436385e-02 -1.6398104e-01 5.0170659e-03 7.9350616e-04 -6.8410351e-03 9.4251320e-02 1.3614242e-01 -9.4843321e-02 9.8724710e-03 2.1225395e-02 2.3089843e-02 5.9972527e-03 8.6158859e-03 -8.8523738e-03 4.0894323e-03 1.8190067e-02 2.3408451e-03 -9.3725786e-02 3.6276963e-03 4.0072976e-03 -3.1601965e-02 -6.7353956e-02 -2.2087279e-01 -6.2962055e-02 2.3598503e-02 1.0529357e-01 3.1726159e-02 3.0380583e-03 -3.0512720e-02 1.8084144e-02 -8.8637553e-02 6.4072005e-02 1.6140999e-01 -1.2565151e-02 -5.4620816e-03 4.1042245e-03 2.1280745e-02 5.3879708e-02 -2.4383863e-02 3.9121280e-03 2.3262084e-01 -1.0568965e-02 -7.3042490e-02 -7.2708435e-04 -8.0532692e-02 2.4867665e-02 1.6746992e-03 1.3615340e-01 2.0844661e-02 6.3463859e-04 6.2649414e-02 -7.4365614e-03 -5.6143589e-02 -4.2987363e-03 2.2704655e-02 -6.3295672e-03 -7.9578824e-02 1.1755717e-02 -1.5573081e-01 -6.2736683e-03 1.3861720e-01 7.7741966e-02 2.1729717e-01 2.4392793e-02 1.6774195e-01 4.1965898e-03 1.9095762e-02 -3.1343900e-02 1.6949272e-05 8.4890919e-03 4.6917170e-02 -1.4488339e-01 -1.0209186e-01 6.9156033e-03 -8.6459301e-02 1.5247638e-02 2.3066500e-01 5.4300524e-02 -1.0821619e-02 -1.5904036e-01 7.2456975e-03 3.8761369e-04 1.9353251e-01 -2.7527523e-03 -4.3276988e-02 -1.6674364e-01 6.9654927e-02 -7.1177945e-02 -3.0504353e-03] Cos Similarity tf.Tensor(0.5785184, shape=(), dtype=float32) (128,) (128,) [-2.02440247e-02 1.27132818e-01 1.64146468e-01 1.57328069e-01 1.19881742e-02 3.87596004e-02 -6.31295592e-02 1.79207265e-01 -2.22969055e-02 1.10486355e-02 9.76117328e-02 5.01534678e-02 4.08346429e-02 3.00858486e-02 2.35760491e-02 1.81117922e-01 3.36404778e-02 9.27286148e-02 1.79890364e-01 -1.62929982e-01 1.22681528e-01 -2.59591248e-02 9.26266983e-02 1.35331839e-01 3.58383246e-02 2.23175436e-02 -1.84634954e-01 9.84132849e-03 -2.03200266e-01 -8.58261436e-02 1.26391463e-02 1.68686494e-01 -8.25445354e-03 5.45281470e-02 1.05400540e-01 1.30384913e-04 -8.23500939e-03 5.74148484e-02 -3.55014950e-02 1.53678983e-01 -1.63132340e-01 1.64833721e-02 9.55645554e-03 -3.22564617e-02 2.74123484e-03 9.97943580e-02 -1.20382637e-01 2.33759210e-02 2.94508543e-02 3.03682350e-02 1.64541993e-02 1.74954627e-02 4.41839099e-02 6.56219851e-03 5.44506647e-02 3.86149809e-02 1.29021212e-01 8.38791300e-03 4.76365164e-02 2.82943994e-02 -1.20756797e-01 -1.18829995e-01 -1.42557129e-01 3.06651164e-02 9.55320895e-02 -5.30677699e-02 -7.35680049e-04 -7.39466473e-02 3.54188420e-02 -1.61930531e-01 -6.46098692e-04 -1.32586822e-01 2.07126588e-02 1.79477094e-03 1.25306547e-02 1.95576414e-03 3.93819921e-02 2.91995648e-02 2.49833404e-03 -1.15513869e-01 -1.68702600e-03 5.99208695e-04 4.16288199e-03 3.79607715e-02 1.34527072e-01 -4.48645316e-02 3.92683549e-03 1.34522710e-02 2.82362550e-02 1.99798614e-01 4.64284979e-03 3.95785719e-02 -3.67018557e-03 4.99750674e-02 3.70393246e-02 -1.94429830e-01 8.97528678e-02 -2.14964314e-03 1.78238973e-02 1.06375247e-01 8.73222798e-02 1.82748318e-01 1.10500418e-01 1.69706881e-01 2.25295722e-02 -4.54614647e-02 -1.75636932e-01 6.24644291e-03 8.97247531e-03 3.19429999e-03 3.91152017e-02 -4.31240201e-02 5.25702164e-02 -1.22299984e-01 6.27778396e-02 -2.05396801e-01 1.32102385e-01 2.32685860e-02 -1.21331520e-01 2.15580780e-02 -2.02119350e-02 5.29846139e-02 4.27012779e-02 1.63990632e-02 -1.23591676e-01 -1.25522548e-02 -7.67161548e-02 3.85280722e-03] [ 2.0121796e-02 2.0577003e-01 1.3621795e-01 -1.2553744e-01 8.0147535e-03 -4.7771754e-03 8.1403643e-02 1.1652709e-01 -2.0357879e-02 -1.0269007e-02 9.2376895e-02 -2.0031766e-04 -3.7048059e-04 3.0115838e-03 9.3476459e-02 1.2031917e-01 4.4749076e-03 6.9900163e-02 1.0257732e-01 -9.4468169e-02 2.0541124e-01 -9.4271153e-02 -2.1180581e-02 1.7514570e-01 1.3030723e-02 1.3631917e-02 -1.7028613e-01 -7.5765890e-03 -2.0810394e-01 -1.1896370e-01 6.9935344e-02 2.2493702e-01 -1.9615099e-02 1.7584671e-03 -7.2180465e-02 -3.1271487e-02 -2.2838492e-02 7.7895440e-02 1.3339188e-02 6.3184015e-02 -8.9242637e-02 4.9563143e-03 2.7693741e-03 -9.0540964e-03 1.9545898e-01 1.0194513e-01 -6.7920806e-03 2.2598082e-02 1.3497621e-02 3.3263385e-02 9.5785633e-03 1.4274376e-02 2.4849534e-02 6.1854762e-03 1.8858152e-02 1.9763863e-02 -8.3528953e-03 -1.7386204e-02 2.4307655e-02 3.1489069e-03 1.1150527e-01 -1.5032135e-01 -5.1799368e-02 6.2581366e-03 -2.4234196e-02 -2.3348643e-02 -1.3655809e-03 1.2779669e-01 2.0781949e-02 -1.2198021e-01 1.9934824e-02 -1.3510160e-01 7.9514962e-03 -1.1558086e-02 -1.0361832e-02 1.5406061e-02 1.8110691e-01 1.1158700e-02 4.2557828e-03 1.1477251e-01 2.2850533e-03 -1.5703628e-02 9.2859920e-03 -1.5392227e-01 -1.0889105e-01 7.2909694e-04 -3.7881132e-02 2.0026691e-02 -1.4510428e-03 1.1168332e-01 -4.8264120e-02 -2.2724217e-01 -5.5746306e-03 3.2551359e-02 2.1469017e-02 2.2877332e-02 5.0497990e-02 1.2405528e-01 4.3009287e-03 1.6177004e-02 3.7810478e-02 7.8122266e-02 1.3811821e-01 7.6563574e-02 -1.2157179e-02 -1.5789052e-02 -2.2613132e-01 -2.9077716e-03 -4.0586796e-03 1.6535601e-01 -1.9606641e-01 7.3860787e-02 8.1462506e-03 -1.2069577e-01 -6.0131098e-04 -2.3345879e-01 1.9240518e-01 -3.7357751e-03 -8.4792994e-02 -5.3155874e-03 7.0580021e-03 5.1859517e-02 2.4302717e-02 2.8508210e-03 -9.5501058e-02 3.8652588e-02 4.2946301e-03 2.7570029e-04] Cos Similarity tf.Tensor(0.5488125, shape=(), dtype=float32) (128,) (128,) [ 0.14115918 0.12854388 -0.07521826 -0.00360874 -0.01632314 0.00427735 -0.08522182 -0.145246 -0.0020052 -0.00737342 -0.20189472 -0.02294947 0.00931079 0.1328935 0.02649913 0.09161821 -0.01434784 0.08601718 0.15213206 0.00432131 0.13479075 -0.04268733 0.01774712 -0.01312395 -0.02861959 0.00198136 0.10713962 -0.01750992 0.07053346 0.19368275 -0.13865863 0.20107809 0.00770739 -0.00765843 0.12484019 0.00458523 -0.00378879 -0.16933274 -0.00381846 -0.09766179 0.0196271 -0.00588162 -0.00319062 0.00346209 -0.00174713 0.16752419 0.03576302 -0.00553063 0.00329302 0.00813612 0.00576418 -0.00396949 -0.02504835 0.00325406 -0.00872445 0.00196347 -0.1093138 0.00095077 0.00213306 -0.01548552 -0.01393067 -0.01514904 0.2348498 -0.00045418 -0.08815023 0.07886592 -0.01113073 0.15094516 -0.01175128 0.06857022 -0.05523157 0.02067222 -0.00198689 0.00282458 -0.000977 0.00912298 0.2264662 0.07670028 -0.00348651 0.22771901 -0.0203062 -0.01702484 0.00822413 0.09987814 -0.12051031 0.15739746 0.06186323 -0.00245767 -0.00181389 0.14730312 0.08242184 0.18986088 -0.01006491 0.00595433 0.00195873 0.15859783 -0.01106968 -0.08908288 -0.0143447 -0.02244137 0.00523252 0.14372511 0.21430835 0.19123887 -0.01163011 -0.00233472 0.09355474 0.018927 -0.01661952 -0.10990476 0.09200923 -0.08404158 -0.00764208 0.03478516 0.02072185 0.16149299 0.16635895 -0.02600106 0.10032975 -0.02231869 0.00500513 0.14345296 0.0080701 -0.03084698 -0.05730926 0.0403943 0.04577397 -0.01304577] [ 0.14115918 0.12854388 -0.07521826 -0.00360874 -0.01632314 0.00427735 -0.08522182 -0.145246 -0.0020052 -0.00737342 -0.20189472 -0.02294947 0.00931079 0.1328935 0.02649913 0.09161821 -0.01434784 0.08601718 0.15213206 0.00432131 0.13479075 -0.04268733 0.01774712 -0.01312395 -0.02861959 0.00198136 0.10713962 -0.01750992 0.07053346 0.19368275 -0.13865863 0.20107809 0.00770739 -0.00765843 0.12484019 0.00458523 -0.00378879 -0.16933274 -0.00381846 -0.09766179 0.0196271 -0.00588162 -0.00319062 0.00346209 -0.00174713 0.16752419 0.03576302 -0.00553063 0.00329302 0.00813612 0.00576418 -0.00396949 -0.02504835 0.00325406 -0.00872445 0.00196347 -0.1093138 0.00095077 0.00213306 -0.01548552 -0.01393067 -0.01514904 0.2348498 -0.00045418 -0.08815023 0.07886592 -0.01113073 0.15094516 -0.01175128 0.06857022 -0.05523157 0.02067222 -0.00198689 0.00282458 -0.000977 0.00912298 0.2264662 0.07670028 -0.00348651 0.22771901 -0.0203062 -0.01702484 0.00822413 0.09987814 -0.12051031 0.15739746 0.06186323 -0.00245767 -0.00181389 0.14730312 0.08242184 0.18986088 -0.01006491 0.00595433 0.00195873 0.15859783 -0.01106968 -0.08908288 -0.0143447 -0.02244137 0.00523252 0.14372511 0.21430835 0.19123887 -0.01163011 -0.00233472 0.09355474 0.018927 -0.01661952 -0.10990476 0.09200923 -0.08404158 -0.00764208 0.03478516 0.02072185 0.16149299 0.16635895 -0.02600106 0.10032975 -0.02231869 0.00500513 0.14345296 0.0080701 -0.03084698 -0.05730926 0.0403943 0.04577397 -0.01304577] Cos Similarity tf.Tensor(1.0, shape=(), dtype=float32) (128,) (128,) [ 0.14409856 -0.02890702 0.0400434 0.08487941 -0.01698647 -0.00525378 0.03198557 -0.03940492 0.0055101 0.00371324 0.12029106 -0.00990687 0.03228907 -0.07256784 -0.06587103 0.06514068 0.02304215 0.23135923 0.02154638 -0.05691694 -0.16017075 -0.1542767 0.08657134 0.02432912 0.03126319 0.01476315 0.15918766 0.00642357 0.21590352 -0.0535821 0.06307086 0.21770155 -0.00909659 -0.01525084 -0.04226956 -0.00623094 0.00169529 -0.21426152 -0.01362434 0.08081634 0.1744197 0.00891317 -0.00610578 0.01673438 -0.11117912 -0.22923273 -0.00962863 0.01808622 0.02357888 0.01366973 0.00767803 0.00773555 0.00336239 0.0153207 0.007693 -0.00679446 -0.19187555 0.00133353 0.0036537 0.00679517 -0.01435739 0.00501325 0.04705013 -0.03520153 0.15795928 -0.14190468 0.00864304 0.09825897 -0.01294074 -0.20801467 -0.08261424 -0.13669205 -0.00201479 -0.00744646 -0.00880418 0.02120494 -0.03381729 0.10369794 -0.00770087 0.13389288 -0.00097226 0.00561921 -0.00885897 -0.06954294 -0.024688 0.14626634 -0.05211864 0.01009112 0.00084838 0.1486092 -0.1777356 -0.0117721 0.01469072 -0.0012849 0.01656979 0.15406999 -0.01384783 -0.11948525 -0.00263855 -0.11370268 0.1638895 -0.06145745 0.17278686 0.03540147 0.00106817 -0.00307687 0.13203235 0.02254269 0.01161303 0.02333094 -0.16503085 -0.07820185 -0.00298992 0.17974746 0.03991596 0.16304182 -0.02627713 0.00160154 -0.01159601 -0.02942833 0.0227998 0.17586234 0.02777001 -0.00806418 0.00196892 0.03008886 -0.0555793 -0.0109621 ] [ 0.199374 0.03263269 0.10931918 -0.07582502 0.00201794 -0.03566865 -0.05679366 0.02462555 -0.00927047 0.01088961 0.00255953 0.00317034 0.0285888 -0.0650699 0.0409588 -0.12760112 0.0329926 0.18594448 -0.19420478 -0.0396838 0.01172239 -0.07519729 0.09451874 0.05471578 0.0314594 0.00339285 0.2109366 0.0190489 -0.14727497 0.09249868 0.04870589 0.18698305 -0.03002826 0.01771456 -0.08705889 0.02258397 0.00034534 -0.21942899 -0.02226064 0.1278342 0.01126881 0.00847355 -0.00099965 0.01595112 -0.10215404 -0.2200861 0.17050688 0.01437003 0.02871633 0.01141789 0.00559789 0.00854828 0.01035026 0.01870914 0.01789267 0.01116312 0.1455392 -0.00642322 0.00727008 0.02124134 -0.08317151 0.10128012 -0.03445563 0.00297251 -0.07131942 -0.08709519 0.00734616 0.05785885 -0.00162597 -0.14071414 -0.16277191 0.11567189 -0.01034977 -0.00957753 -0.0037889 0.01557057 -0.04806414 0.02368265 -0.00761636 0.0281189 0.01699732 -0.04810776 0.00662513 0.1601675 0.12792262 -0.01119009 0.1578893 0.01047834 0.00842807 0.06803772 0.04815585 -0.09373837 0.02686286 0.02919465 0.00623879 0.00116809 0.198268 -0.03155024 0.00314965 0.1827389 0.2039487 -0.18150438 -0.0861466 -0.12534612 0.00804816 0.02217563 0.04749554 0.03589221 0.02023983 -0.21028955 -0.11086516 -0.11138438 0.00060496 0.0379958 0.00549308 -0.04589543 0.06721295 -0.00097787 -0.17205185 0.02213413 0.01389006 -0.05162762 0.04095684 0.01443025 -0.21653293 0.01511468 -0.0053591 0.00302995] Cos Similarity tf.Tensor(0.26589173, shape=(), dtype=float32) (128,) (128,) [-1.57018751e-01 2.02186614e-01 6.95187300e-02 3.62592228e-02 -7.47225946e-03 -1.57011911e-01 -1.08751114e-02 -4.89812717e-02 -4.31047427e-03 -2.97076302e-04 1.48517191e-01 1.70131738e-03 1.56768616e-02 1.19970627e-02 -6.83826059e-02 -2.32693739e-03 -2.39268946e-03 1.37882745e-02 -1.87406301e-01 1.93491548e-01 -1.71867639e-01 2.95040421e-02 1.61460817e-01 1.31749913e-01 -1.46317494e-03 5.56331174e-03 1.94367424e-01 -3.21348011e-02 1.29314680e-02 4.29808833e-02 -1.94641069e-01 5.87602891e-02 -5.75986644e-03 1.72616318e-02 2.16938838e-01 5.29653095e-02 1.01774521e-02 3.49289551e-02 -5.79369906e-03 3.09790969e-02 1.53164715e-01 -9.32358298e-03 -8.13260302e-03 -2.68710265e-03 -4.57729511e-02 8.71407147e-03 -1.05724387e-01 1.09737283e-02 1.18051134e-02 2.62285136e-02 -2.41118949e-03 1.86460814e-03 1.27272708e-02 4.59814910e-03 1.47284018e-02 1.89005136e-02 -7.36327991e-02 1.48135034e-04 1.63681142e-03 4.55102278e-03 1.00432776e-01 -1.97722837e-01 1.45632669e-01 -9.88137443e-03 -1.95802227e-01 1.55682296e-01 -8.44913069e-03 3.50223556e-02 -4.62257536e-03 -6.91641774e-03 9.73323807e-02 9.64089185e-02 -1.13359028e-02 1.82036106e-02 5.21939434e-03 5.41679095e-04 -1.58798188e-01 6.31730887e-04 6.36189664e-03 -1.35663077e-01 -2.09590723e-03 -1.01239979e-03 -5.21274237e-03 7.97622204e-02 1.33140936e-01 -5.31043559e-02 -2.09009454e-01 1.67790744e-02 -8.26118421e-03 -5.84138408e-02 -1.71362370e-01 -3.20120119e-02 -6.19133282e-03 -1.29853538e-03 2.13459600e-02 -9.59989056e-02 9.15808510e-03 -2.00473532e-01 7.32568465e-03 6.54794797e-02 1.03783734e-01 -9.72535536e-02 7.71733224e-02 1.39747366e-01 -3.45195294e-03 -2.36268546e-02 -6.80187121e-02 3.40153323e-03 5.30498009e-03 -1.94229513e-01 -1.58786237e-01 1.33307561e-01 1.55165689e-02 -2.22536139e-02 -9.13578793e-02 1.16723292e-01 7.89331347e-02 -3.00665968e-03 1.34833604e-01 5.37333661e-04 -2.05400642e-02 4.00050124e-03 5.54996356e-03 1.09135592e-02 5.53045832e-02 -3.88922729e-02 8.94615725e-02 -1.03742648e-02] [ 2.90788244e-03 2.11519375e-01 1.71641055e-02 -1.82373092e-01 -6.86906511e-03 -4.46822345e-02 7.52597302e-02 -6.63210303e-02 1.38467699e-02 3.10640200e-03 1.06874272e-01 4.67471266e-03 3.43913678e-03 1.22233927e-01 8.13877285e-02 -6.34557828e-02 -7.42872537e-04 -5.10271490e-02 3.18427160e-02 1.38616979e-01 -7.20842630e-02 -1.85660928e-01 1.95691988e-01 -1.98708531e-02 1.77135132e-03 -6.74484111e-03 1.36741161e-01 -1.04358289e-02 -2.00350776e-01 2.50651371e-02 -4.22549732e-02 -1.21612951e-01 2.28543044e-03 2.01427424e-03 1.69473052e-01 -3.84468841e-03 3.16413259e-03 1.44770592e-01 -7.02813454e-03 1.49204955e-01 1.95049673e-01 -8.63235723e-03 -7.79213570e-03 -1.56204845e-03 1.14842895e-02 3.73761728e-02 1.44775314e-02 1.93170849e-02 8.69928766e-03 -9.11984593e-04 -1.31026248e-03 4.02059127e-03 -2.12711908e-04 9.54371504e-03 1.13757355e-02 1.91610754e-02 -1.37445301e-01 -1.48322769e-02 4.92245005e-03 -1.24457078e-02 2.20100973e-02 -1.22954734e-01 7.58255050e-02 -2.97055836e-03 -1.95922077e-01 1.59008458e-01 -9.04811919e-03 -1.11151636e-02 -9.81063116e-04 1.44063130e-01 2.06101641e-01 7.82329068e-02 1.70569165e-05 2.28995867e-02 7.90128764e-03 7.34927785e-03 3.80017161e-02 -4.72042197e-03 -1.32315950e-02 -1.75059021e-01 -3.36274249e-03 6.15278608e-04 7.36896531e-04 -2.03327820e-01 -1.03238583e-01 -4.48169298e-02 -4.45246547e-02 1.07474281e-02 -3.60156014e-03 2.76455283e-02 -6.59319432e-03 1.93478972e-01 -7.77135557e-03 -9.51791089e-03 -1.38318632e-02 -7.44693950e-02 1.62043467e-01 -8.54638293e-02 -5.62388357e-03 5.87228760e-02 -4.41295803e-02 -1.87847614e-01 -9.93805751e-02 1.68302551e-01 4.81500430e-03 1.02524851e-02 2.19119161e-01 5.28011260e-05 -1.84969399e-02 7.47270063e-02 1.35612227e-02 1.57767802e-01 6.41143369e-03 -3.72829773e-02 -1.01610333e-01 1.32848099e-01 4.38676961e-02 -1.17582986e-02 1.25986442e-01 -1.71416197e-02 -1.03697162e-02 -1.37779228e-02 1.33418227e-02 -1.38414046e-02 1.34237468e-01 -3.54799032e-02 1.25224784e-01 1.31626136e-03] Cos Similarity tf.Tensor(0.4609595, shape=(), dtype=float32) (128,) (128,) [ 0.07054134 -0.08669521 -0.08667205 0.0686838 -0.01265944 0.02028728 0.0171538 -0.08560937 0.00872164 0.00237094 -0.10341602 0.00486501 0.01276772 -0.10813352 0.00041904 0.15934946 0.00548007 -0.18975405 0.1908407 -0.16181406 0.08159868 0.00833071 -0.00583535 0.07619254 0.01639031 0.01356115 -0.07927363 0.0155973 -0.13412286 0.22483449 -0.02898598 -0.14332016 0.01288805 -0.00507306 -0.11288927 0.0086037 -0.00573689 0.06845366 -0.01674268 -0.0933132 0.17055482 -0.00110694 0.01704047 -0.00696383 0.03723099 -0.02543038 -0.13498557 0.02196859 0.01509433 -0.00965716 0.01480832 0.00775832 -0.00868817 0.0087043 -0.00221565 0.01456198 -0.11658061 -0.00024191 0.00744729 0.00568027 -0.07654995 0.21208487 -0.17619804 -0.00192165 0.01647079 0.04243886 0.00423813 0.14698082 0.00554752 -0.08505252 0.10544079 0.1976833 0.00101635 -0.01362687 0.00073839 -0.00268356 0.06808364 0.10387354 0.0126595 -0.01643746 -0.00600332 -0.0123874 -0.00256957 0.15022041 -0.17295781 -0.14643306 -0.14363033 0.01943755 0.00822524 -0.01374931 0.03617997 -0.21156983 0.00821478 0.00076457 0.00731652 -0.20172133 0.20136112 -0.106239 0.01595515 0.09967448 0.2022783 0.15003137 0.17443275 -0.1341363 0.015498 0.02867244 0.15551181 -0.0138899 0.00719935 0.04626479 0.03940114 -0.10359016 0.02092923 -0.12765488 -0.05046437 -0.07700812 0.02869138 0.00358545 -0.03603912 -0.0061957 -0.00490973 0.07404322 0.03121116 -0.01627499 -0.05191996 0.06298044 -0.05846981 -0.00651117] [ 0.14103507 0.1645627 -0.05268228 0.13291341 -0.02268243 -0.07973535 0.03845565 -0.13333283 0.01077251 -0.01271467 -0.20386037 0.00593485 0.02047204 -0.05239142 -0.01487973 0.08318056 0.00505365 0.03373687 -0.04420781 0.00316623 0.01158521 -0.01252714 0.01062318 -0.05495941 0.02193618 0.01618049 0.09449235 0.02233076 -0.09796924 0.22930928 -0.06287564 -0.18041115 0.00207122 0.0050373 -0.09582754 0.00381866 0.00052195 -0.06706242 -0.00485738 0.13473067 -0.07957262 -0.00391019 0.00360794 0.00710136 0.1895489 -0.16893683 0.12755772 0.01345191 0.0195833 -0.01568014 0.00437561 0.00622654 -0.00339824 0.01261337 -0.00833954 0.01039511 -0.13696195 0.0069778 0.0040765 -0.0036491 0.15242511 0.2001109 -0.21319298 -0.01210241 0.06179451 0.03378897 0.00314021 -0.12847908 -0.00831017 0.16112825 0.11112986 0.10574587 -0.00626029 -0.00911533 0.00353504 -0.00605934 0.10235227 0.00564318 -0.00036825 0.132349 -0.01068989 -0.01896532 0.01253254 -0.11356954 -0.12985133 -0.14095312 -0.18718535 0.00790872 0.00199695 0.04474955 0.00026195 -0.13643947 0.01086724 0.01082059 0.01019946 -0.08801167 0.19923238 0.08441945 0.00323885 -0.02332087 0.13789162 0.04997031 0.15494826 -0.15839347 -0.0021059 0.02341698 0.06276178 0.01072705 0.00769998 0.0702698 0.0516959 -0.14269425 0.01568932 0.04985567 -0.06038367 -0.01885992 0.19128127 -0.00561475 -0.2140902 0.00096674 -0.00065869 -0.10712402 0.02792667 -0.00194013 -0.15535992 -0.01581052 -0.03292998 -0.00723716] Cos Similarity tf.Tensor(0.45148405, shape=(), dtype=float32) (128,) (128,) [ 0.1446788 0.12235705 0.09083713 -0.11225411 -0.01652457 0.01258241 0.1335071 -0.0347225 0.00458261 0.00621864 -0.03950959 0.01747199 0.01526988 0.08412345 0.18047146 -0.02669819 -0.00989306 -0.05600535 0.11431319 -0.00413998 0.12181596 -0.03414274 -0.10593555 -0.11635891 -0.0147981 0.0078514 0.12861715 -0.00033781 -0.11042238 -0.09903362 0.06714795 0.02677157 -0.01757745 0.00637211 -0.17435624 0.02841631 -0.0044292 0.06760012 -0.02308079 0.08545721 -0.1177167 0.00502389 0.01223312 -0.00920785 -0.15209116 0.06691443 0.10086206 0.00780293 0.01389254 0.01220172 0.00809367 0.0088358 0.00481695 0.00897143 0.00544935 0.01900373 0.18484204 0.01537903 0.00672439 -0.00749589 0.18748291 -0.04192151 -0.15831165 0.00043372 -0.11213958 0.12871452 -0.00606585 -0.19808066 -0.00286514 -0.11741618 -0.04050708 -0.07963085 -0.00663689 0.01364928 0.00737153 0.00801537 0.00021467 -0.13045351 0.01586238 -0.15623872 -0.01213993 -0.05502628 -0.00191972 0.16030276 -0.00114635 -0.06874628 -0.00231806 0.01170946 0.00191918 -0.17724419 0.17958215 0.19272365 -0.00538964 0.01579832 0.01648249 -0.20636134 0.18290883 0.08875296 -0.00850969 0.08937837 0.1715075 -0.19132383 -0.06661993 0.03813994 -0.00070258 0.01538568 -0.01951046 -0.00315557 -0.00271435 -0.11045657 -0.15324311 0.08036307 0.01170677 0.1422711 0.00390526 -0.16114165 -0.1808255 -0.01207372 0.14341299 -0.00631068 -0.01195772 0.01418105 0.02818729 0.00424247 -0.10474612 -0.02165322 -0.0177537 -0.00344725] [ 1.1225261e-01 1.1588581e-02 -1.0165618e-02 2.0623371e-01 8.0721389e-04 3.4451778e-03 -7.4697584e-02 6.8378942e-03 1.8225318e-04 -1.4412889e-02 -2.1650709e-01 3.6365113e-03 -9.6103904e-05 2.1386656e-01 2.4453834e-02 3.1483542e-02 -1.5822979e-02 9.4658926e-02 6.5097496e-02 1.1559588e-01 -1.7420897e-01 -6.5592334e-02 -4.2852920e-02 2.8295010e-02 -2.6053092e-02 -3.5320364e-03 -3.5482107e-03 -3.5163317e-02 1.7366359e-02 1.4154004e-01 6.8931982e-02 1.4016050e-01 -8.3503500e-03 -1.7275063e-02 -1.7430794e-01 3.1046942e-02 -1.1793122e-02 1.5291470e-01 1.4410131e-03 -8.5864037e-02 -1.8180247e-01 -1.9778921e-03 -6.2201689e-03 -1.0242689e-02 1.5078191e-01 1.5565218e-01 7.6687224e-02 -1.1049317e-02 6.9687841e-04 1.3189384e-02 1.6059359e-03 7.7161263e-03 -1.2199752e-02 3.1802377e-03 -3.1071841e-03 7.6581212e-03 -1.5477043e-01 -6.7299111e-03 -4.2074081e-03 -1.1263122e-02 1.7395905e-01 9.7995196e-03 -8.0470525e-02 -1.5732082e-02 -1.9675668e-01 1.3357469e-01 -7.1631116e-03 -4.5523718e-03 -1.2290309e-02 -1.6883565e-01 7.3105313e-02 -5.0713174e-02 -7.8648208e-03 3.6802446e-03 -2.5248148e-03 3.1599165e-03 -1.5128934e-01 -8.8995136e-02 -3.8231397e-04 1.4110234e-01 -2.1662427e-02 -4.1560559e-03 -1.0330773e-02 1.8148321e-01 3.4518935e-02 -1.0272681e-02 -1.6214374e-01 1.2577484e-02 -1.5202403e-02 -2.2464439e-01 1.8385160e-01 2.2272153e-01 -2.5405776e-02 5.7675992e-03 -3.3559601e-03 2.1677794e-02 4.6244036e-02 4.8172273e-04 -1.4287970e-02 -6.7992046e-02 6.3100003e-02 -1.1916475e-01 -2.5403745e-02 -7.0343792e-02 -6.7981472e-03 1.1607051e-02 2.1654257e-01 1.0727974e-02 -2.6250580e-02 1.8021455e-02 -1.8624138e-03 9.4474852e-02 -9.8023852e-03 3.0660935e-02 3.3270963e-02 -6.0922209e-02 7.4206561e-02 -1.3648422e-02 2.2353405e-01 -1.8810468e-02 -4.9339463e-03 -6.1850417e-02 6.7642257e-03 -3.9705290e-03 -1.6885343e-01 2.4230579e-02 2.2589110e-03 -5.1262728e-03] Cos Similarity tf.Tensor(0.33710527, shape=(), dtype=float32) (128,) (128,) [-1.94396928e-01 2.07043141e-01 4.83231395e-02 -2.50646006e-02 -2.68546701e-03 3.01286541e-02 1.84457421e-01 3.19086425e-02 -1.50037948e-02 -1.04041109e-02 -1.61003798e-01 2.27194075e-02 -1.62881110e-02 4.48335567e-03 4.75455001e-02 -1.37947621e-02 1.45115342e-03 7.20802918e-02 4.22929786e-02 -1.70295432e-01 -1.45234033e-01 2.80590057e-02 8.18579122e-02 -2.68093497e-02 2.06784271e-02 1.31160617e-02 -1.76977098e-01 -4.81433794e-03 1.83685627e-02 -1.14556439e-01 1.93103671e-01 -1.21013381e-01 -2.55407114e-02 1.41396690e-02 8.12078640e-02 -2.50978563e-02 4.81925765e-03 6.76533431e-02 -2.36031003e-02 2.09164888e-01 1.75075516e-01 8.88953684e-04 1.09866261e-02 -3.99226835e-03 8.31235871e-02 5.07208556e-02 2.07332537e-01 -1.84565224e-03 3.24943755e-03 1.55429719e-02 -3.47261108e-03 6.67095790e-03 2.85913190e-03 8.17352068e-03 2.24835817e-02 1.01923943e-02 -1.07873231e-01 -1.41232798e-03 1.85458977e-02 1.77769866e-02 6.87152743e-02 -4.23970409e-02 1.48941025e-01 2.43005995e-03 7.90257007e-02 -5.85771613e-02 7.83444382e-03 -4.52553737e-04 4.56290226e-03 1.44936591e-01 1.51039883e-01 1.38752460e-01 -1.18311757e-04 2.73924284e-02 9.95204411e-03 1.01609845e-02 -8.80336165e-02 -2.64315698e-02 -2.99185445e-03 -1.95819020e-01 4.33694851e-03 -4.02183570e-02 2.80618970e-03 -3.76529396e-02 -6.53763339e-02 -1.98092952e-01 -1.41022980e-01 9.28137917e-03 -1.28206676e-02 1.67695716e-01 4.40917015e-02 -4.86311391e-02 4.25147219e-03 3.89833166e-03 9.16936714e-03 1.67102233e-01 3.86991426e-02 -2.26434708e-01 1.75628364e-02 1.26456633e-01 -7.68435933e-03 -1.07781500e-01 1.47730410e-01 -1.21618755e-01 -1.74596719e-03 1.61794422e-03 -1.46938711e-01 1.39749097e-02 1.43943066e-02 -3.45734507e-02 -2.19422087e-01 -1.04293764e-01 -3.00667225e-03 -1.44353747e-01 1.86399259e-02 -1.26521796e-01 7.75043070e-02 4.27589333e-03 3.81293893e-02 -8.70057195e-03 -1.36385849e-02 -9.44107100e-02 2.95426808e-02 -9.49999318e-04 -4.58190329e-02 -4.63824486e-04 -4.18849289e-02 1.04391268e-02] [-0.12285962 0.20788512 -0.02451384 -0.03943183 -0.01419419 0.03123946 0.19566318 -0.0112502 -0.00054163 -0.00778837 -0.17084767 -0.00310068 -0.01216188 -0.08802643 0.06572274 -0.04508281 -0.00344349 0.07031308 0.0453795 -0.17925885 -0.14047985 0.04690557 0.15172334 0.00354563 0.0057254 0.00357525 -0.16929615 -0.0117545 0.0355642 -0.1281947 0.19367604 -0.11226479 -0.00620606 0.00679623 0.01601507 -0.00740187 -0.00103969 0.13583283 -0.02093917 0.2011407 0.17313863 -0.00042495 0.01550698 -0.03488288 0.0935595 0.12557149 0.20890458 0.00088739 0.00323367 0.01376045 -0.0025536 0.01238097 0.00095336 0.00523545 0.00538187 0.00543588 -0.0987183 0.00524479 0.00049031 0.00102177 0.1080988 -0.07344643 0.09961364 0.00102015 0.12335057 -0.08977935 0.00048327 -0.0332062 -0.00606973 0.11006971 0.17703661 0.21021847 0.00088279 0.01854369 0.00174086 0.01280617 -0.0583524 -0.00830908 0.00184279 -0.11956083 -0.00864375 -0.0196679 -0.00781094 0.00076823 0.05284925 -0.16959786 -0.19308674 0.00716773 -0.00975649 0.1368077 0.08923713 -0.09827896 -0.01173446 0.00478372 0.00520244 0.10776628 -0.04743597 -0.21688877 0.01271462 0.11173747 0.00071808 -0.10554883 0.15587136 -0.1411476 -0.00261981 -0.00340766 -0.1298513 0.01146807 -0.00295941 0.0079454 -0.21883753 -0.07911752 -0.01072289 -0.04840313 0.06988412 -0.1273217 0.04768588 -0.00761694 0.01601157 0.00819308 -0.01434378 -0.08798566 0.01938313 0.01032164 -0.06429543 -0.04312199 -0.04403315 0.00128857] Cos Similarity tf.Tensor(0.93586373, shape=(), dtype=float32) (128,) (128,) [ 0.1702206 -0.20670989 0.09236736 -0.03090492 0.00962101 -0.11062552 0.02122276 0.17205758 -0.00882489 -0.00383934 -0.22672729 -0.02916619 -0.00148692 -0.0229862 0.1176517 0.14787541 0.00997977 0.07777237 0.03209351 -0.01470221 0.06143983 -0.19317771 -0.15815935 0.01463273 0.02290648 -0.00068004 0.06961282 -0.00962849 0.0273094 -0.1981128 0.01817293 -0.05601556 0.03123014 0.00526075 -0.03342254 -0.00074555 0.01420596 -0.02214253 -0.00379289 0.16370362 0.19703622 0.01125584 -0.00366463 -0.00578618 0.01903185 0.18019445 -0.06186545 0.03287627 0.01330832 0.03341913 0.01098068 0.00552589 0.01110988 0.01238339 0.02727191 0.0120939 0.06815591 -0.00662722 0.00763791 0.01648134 0.15986308 -0.13521583 0.08295041 0.00843574 -0.05591317 0.20657858 -0.00235616 -0.04169814 0.02779851 -0.0440054 -0.12330916 -0.11164843 0.02612344 0.01912285 0.02035853 0.03167078 0.07098751 -0.1607088 0.00482875 -0.13076395 0.00654752 -0.03008447 0.01360637 0.13496962 -0.16266812 0.05262957 0.20780772 0.01594241 -0.0016697 -0.07441446 -0.09095507 -0.11474803 0.02046235 0.02621057 -0.00611562 0.18783653 -0.09418567 -0.06185534 -0.00341071 -0.13829717 -0.09696196 -0.01744816 0.06552478 0.17147657 -0.00612998 0.00171741 -0.02379514 0.02331809 0.0191571 -0.215789 0.05289819 0.09344319 0.00657453 0.07062254 -0.02314964 0.10440233 0.05590364 0.0033884 0.14930212 -0.04768767 0.00671382 -0.04911931 0.00279626 -0.01500733 -0.13793814 0.12474967 0.00293414 -0.01721023] [ 0.1213569 -0.17656429 0.00873832 -0.01659326 0.00829495 0.03496458 0.14451376 -0.09169418 0.00608694 -0.00039159 0.11840767 0.00360531 0.00903358 0.17949815 0.0527367 0.03805868 -0.00192718 0.08408646 -0.05415036 0.06266408 0.094255 0.06728506 0.1277058 0.18916157 0.015728 0.01815172 0.11061608 -0.00755278 -0.08619777 -0.10102058 0.07709859 0.00920117 -0.03089687 -0.00302336 -0.22315145 -0.01291834 -0.00392725 0.0058304 -0.01090358 -0.0253751 -0.07046471 0.00169232 0.00062478 -0.02761709 0.18365267 0.16443081 -0.14595309 0.00180564 0.00098833 0.0117093 -0.00123641 0.00918064 -0.00532008 0.00821301 0.00049614 0.01413309 -0.06026802 -0.01534694 0.00916506 0.00384434 0.10536899 -0.04463335 -0.0068527 -0.00280011 -0.18427256 0.08016622 -0.00339388 0.13356832 0.00836179 0.00347766 -0.19870217 -0.09314517 0.02248727 -0.00432522 0.00569928 0.01445322 -0.02275761 -0.17627314 -0.00427084 -0.1164681 -0.00683275 -0.06700088 0.00941657 0.12245178 0.1335361 0.17267938 0.14351094 0.0142653 -0.01197001 -0.04856221 -0.06157636 0.15403453 -0.00701293 0.01981801 0.0073291 0.1664908 0.11409547 -0.12376145 -0.00479515 -0.14842992 0.16008683 0.02447829 0.11366031 0.0086609 -0.01696818 0.00539523 -0.06226765 0.00211035 -0.00591303 0.17124897 0.0323891 -0.00882158 -0.01706436 0.2251785 0.0063942 -0.13183062 0.21657686 0.00923098 0.13943453 -0.03578628 0.00841692 -0.04342086 -0.01335245 -0.01686778 -0.18788968 0.03767347 -0.03360336 0.00047737] Cos Similarity tf.Tensor(0.28218603, shape=(), dtype=float32) (128,) (128,) [-2.27774307e-01 3.95309692e-03 -6.43843934e-02 1.10443104e-02 5.09482808e-03 -1.14535466e-02 3.49776149e-02 1.57192007e-01 7.03870552e-03 1.19263493e-03 -1.46487564e-01 2.40641506e-03 8.71115830e-03 1.94123000e-01 5.57780126e-03 -1.88196614e-01 -4.11777664e-03 -3.62727009e-02 1.94383547e-01 6.93612965e-05 1.94087148e-01 1.55723721e-01 5.24209253e-02 -8.26680753e-03 -9.54064308e-04 3.46844830e-03 1.97718978e-01 -1.04440432e-02 1.28449410e-01 1.26186281e-01 3.96514200e-02 -9.69210789e-02 1.06524785e-04 -7.33119249e-03 1.31914884e-01 -1.74316484e-02 5.42965950e-03 7.07298936e-03 -4.09330474e-03 1.25736669e-01 1.13540255e-01 1.31751294e-03 -1.31174969e-03 1.18570140e-04 5.00079654e-02 8.78854170e-02 -1.49192676e-01 -1.15642464e-03 -1.71877060e-03 7.84296636e-03 6.59019966e-03 9.00504831e-03 -3.12554128e-02 7.56757567e-04 5.12852659e-03 -6.61360158e-04 2.05874592e-01 -5.05589321e-03 -6.71881344e-03 1.78192870e-03 -1.82591453e-01 1.30102225e-02 -1.61104068e-01 8.67764186e-03 -7.63091967e-02 3.80007960e-02 -1.07538756e-02 9.78544913e-03 -5.99466544e-03 1.27847359e-01 -7.94154480e-02 2.18321145e-01 3.40168008e-05 7.24605005e-03 7.53309950e-03 -1.28144138e-02 1.69568181e-01 -5.90932742e-02 1.83177006e-03 1.77598730e-01 -2.51064617e-02 2.09803656e-02 -1.40716019e-03 1.06864758e-01 -7.43941367e-02 5.90378828e-02 -5.98277077e-02 -1.99541697e-04 -2.91691138e-03 1.36326134e-01 9.12447274e-02 -7.80030340e-02 -1.29114036e-02 3.32109258e-03 6.74908934e-03 -2.04514861e-02 -4.87863310e-02 1.54041186e-01 -6.19399536e-04 6.89583272e-02 4.16514352e-02 2.02410609e-01 -2.07245853e-02 1.63704216e-01 5.20174019e-03 -7.45226350e-03 -1.31804824e-01 2.76566762e-03 -8.39193817e-03 1.16869643e-01 2.12132209e-03 -1.31015122e-01 7.16990046e-03 -1.05222978e-01 -5.57081327e-02 1.52751788e-01 -1.83742821e-01 -3.75289167e-03 8.23157560e-03 8.99873965e-04 -1.45425717e-03 -1.00249656e-01 1.09300565e-03 -2.26582680e-02 -1.48260728e-01 2.37683840e-02 -4.72178264e-03 1.41142390e-03] [-2.12108254e-01 -1.64028443e-02 -1.28576243e-02 -1.21591769e-01 3.03190909e-02 -7.50788907e-03 -3.43836583e-02 8.30017626e-02 8.49976297e-03 1.78892259e-02 -1.43885374e-01 5.85206673e-02 4.23748940e-02 1.35805368e-01 -1.96353700e-02 -1.03259571e-01 4.87159006e-02 4.00036462e-02 2.11738348e-01 3.37531865e-02 9.90655124e-02 1.59162413e-02 2.80045588e-02 -1.47518609e-02 4.70513850e-02 2.22050287e-02 1.61320403e-01 9.46504250e-03 1.22076795e-01 1.64847493e-01 -1.54684111e-01 -9.74070951e-02 -2.49611624e-02 3.49409436e-03 -1.12595387e-01 1.20986886e-02 3.56097966e-02 -2.70043500e-02 -6.26662448e-02 1.43424824e-01 7.43039995e-02 2.26996429e-02 -3.34929163e-03 -1.25308121e-02 -1.28597692e-02 8.44884887e-02 -2.01118011e-02 1.43094305e-02 8.85980297e-03 4.25511897e-02 2.48622391e-02 1.39247272e-02 1.36247771e-02 9.11366940e-03 4.10386659e-02 3.28881256e-02 1.63492382e-01 -1.96704119e-02 2.22626533e-02 4.05042395e-02 -1.75403774e-01 -1.68638334e-01 -1.54233441e-01 3.43680605e-02 -1.30644798e-01 -1.26870647e-01 8.19185562e-03 -8.31890199e-03 3.99786755e-02 2.97945291e-02 -5.74689871e-03 2.00555265e-01 6.71825139e-03 5.71875274e-02 3.31820250e-02 -4.93032262e-02 1.61730781e-01 -1.06048828e-04 -2.65856665e-02 1.85560212e-02 -1.35680549e-02 1.54109187e-02 9.80668887e-03 -2.47145221e-02 -1.32765576e-01 -1.32280588e-01 8.33275095e-02 3.68037698e-04 2.45970134e-02 1.73887983e-01 -1.20326430e-01 -7.18621090e-02 1.69555526e-02 4.60151210e-02 3.37601788e-02 -1.80178732e-01 3.71284038e-02 1.20940425e-01 9.95668955e-03 1.15443654e-01 1.82505608e-01 1.80492312e-01 -1.47027940e-01 1.72403067e-01 2.40601655e-02 -4.95155156e-02 -7.81448185e-02 1.28952367e-02 4.66535017e-02 -2.49715149e-02 -6.02518581e-03 -1.79829314e-01 1.44297900e-02 -8.21690857e-02 -7.03889504e-02 5.23756817e-02 -1.84221879e-01 8.04885291e-03 1.22418635e-01 6.55382276e-02 3.11481040e-02 -2.10388415e-02 2.95592621e-02 -1.68611128e-02 -1.72162980e-01 5.61437607e-02 4.55929525e-02 8.13429989e-03] Cos Similarity tf.Tensor(0.689969, shape=(), dtype=float32) (128,) (128,) [ 0.07481991 0.09184879 0.11214978 0.06750997 0.02673754 -0.00898761 -0.16145921 -0.01745493 -0.0217018 -0.00113534 -0.17166197 0.02458356 0.01205872 0.12557274 0.14615542 -0.16514346 0.01548469 -0.03574908 0.16135044 -0.00598386 -0.09646741 -0.18404299 0.12379307 0.02502023 0.03567126 -0.00684079 -0.03271963 0.01695489 -0.20339116 -0.12379333 -0.21687236 0.16811994 -0.02984417 0.03310579 -0.04461951 -0.00652938 0.03468684 0.00880507 -0.01690732 -0.14172584 -0.04464241 -0.02707921 -0.00801245 -0.00805894 0.19438161 0.01282625 -0.0787398 0.02487901 0.00249508 0.03448896 0.00591915 0.01003676 0.02716522 0.00933856 0.02440346 0.03246756 0.08020385 -0.00394143 0.02698132 0.0129705 0.03146258 -0.15207422 -0.08217474 0.0272791 -0.0489658 0.16402915 -0.00114867 -0.10277023 0.02100565 0.00817755 0.06646341 0.01627769 0.00849275 0.02210937 0.01884984 0.01418735 0.18002924 0.14886732 0.00902367 0.06579313 -0.0025668 -0.00537809 0.01074517 0.13240719 -0.13753091 -0.07104798 0.13271248 0.00702409 0.00393723 -0.03120121 0.05480943 0.21053149 0.01442246 0.03450142 0.02717794 0.20857993 0.05624972 0.00509717 -0.00994399 0.04414147 -0.03614083 0.07778634 -0.02495169 0.11820432 0.01192977 0.03340709 0.1863193 0.01342731 0.0245621 -0.17103599 -0.16059992 -0.11451049 0.00931624 0.01379786 -0.05091677 -0.05133608 0.17604323 -0.00701755 0.131777 0.02769943 0.00894627 -0.15209095 0.02054617 -0.01198238 -0.19806668 0.01900917 -0.02108288 0.01030848] [ 0.03840896 0.099474 0.16122183 0.12638101 0.02958331 -0.00615031 -0.09318274 -0.01883854 -0.02182447 -0.0014061 -0.10163686 0.0294422 0.01271162 0.17311385 0.14595577 -0.14905497 0.0142221 -0.03220831 0.1624491 -0.01492694 -0.11934189 -0.10061058 0.13049357 0.0222914 0.0251428 -0.00697592 -0.13860254 0.02139624 -0.22620173 -0.07712459 -0.22604507 0.21623243 -0.02970592 0.03684327 -0.06030166 -0.01251033 0.04211543 0.06877254 -0.0179629 -0.1301337 -0.05469203 -0.02536647 -0.00779418 -0.0086544 0.18578152 -0.00596204 -0.07758079 0.02315883 0.00321979 0.03751119 0.00815094 0.00949245 0.03069592 0.01022847 0.02913338 0.03646246 0.08532746 -0.00606384 0.03033574 0.01559172 0.02581566 -0.07216924 -0.12912998 0.02502668 -0.02316741 0.17602439 -0.00055152 -0.09880298 0.02299655 0.01878648 0.09768356 -0.01442148 0.01044597 0.02374793 0.02003247 0.02302976 0.19426465 0.17222475 0.01003489 0.09001812 -0.0054033 -0.00572283 0.00883064 0.14774361 -0.04359284 -0.10876692 0.12115374 0.00983353 0.0038747 0.00433126 0.05118766 0.2247612 0.01447939 0.03533273 0.02163913 0.20998561 0.17041725 -0.01257267 -0.0085054 0.04161634 -0.15555969 0.07096995 -0.03909273 -0.01398569 0.01274357 0.03281341 0.14070056 0.01869037 0.02343118 -0.09147418 -0.14130247 -0.09303463 0.00176834 0.01846437 -0.06021065 -0.09414823 0.14072827 -0.00227647 0.00859205 0.03567505 0.00921466 -0.18987624 0.0242105 -0.01378028 -0.1536846 0.01950667 -0.02187588 0.0120414 ] Cos Similarity tf.Tensor(0.9251107, shape=(), dtype=float32) (128,) (128,) [-1.22316264e-01 -1.93395782e-02 -2.73625012e-02 -5.79767674e-02 1.32489819e-02 -3.50408116e-03 -1.12452321e-01 8.27217996e-02 2.16966635e-03 2.08016500e-04 -2.21367732e-01 2.91290125e-05 -5.56602376e-04 1.34102538e-01 -8.69841129e-02 -1.98539853e-01 1.02671320e-02 1.71303511e-01 1.04808509e-01 3.01434584e-02 1.57389373e-01 -8.13253894e-02 -1.85478956e-01 -4.20729443e-02 2.67035943e-02 1.26628298e-03 -1.17732309e-01 7.28373788e-03 9.59829167e-02 -6.53986186e-02 -1.61837488e-01 2.23383121e-02 1.09628225e-02 -9.60108824e-03 -1.43773273e-01 -2.73061972e-02 1.33272000e-02 1.84950784e-01 -1.09105920e-02 8.13372210e-02 7.30724307e-03 -6.90186117e-03 7.97988265e-04 -8.94463155e-03 2.13801295e-01 -2.39223391e-02 1.13163486e-01 1.53971300e-03 1.14324084e-02 2.66870912e-02 4.50031785e-03 1.28698526e-02 -1.97442882e-02 5.00746258e-03 -1.29685737e-02 1.59260929e-02 -1.32365718e-01 -8.67695082e-03 -4.31357976e-03 9.90035987e-05 -1.05556913e-01 9.57041383e-02 5.36774546e-02 1.02334225e-03 -1.80875391e-01 -1.29672498e-01 -5.99454739e-04 7.06113875e-02 9.31528118e-03 -1.51282400e-02 1.26339778e-01 5.25794597e-03 -3.37865204e-03 1.40733207e-02 5.15110185e-03 5.33834682e-04 9.70651507e-02 -2.54442766e-02 -5.96947363e-03 -5.75366318e-02 -5.80963213e-03 -5.69220856e-02 1.19463233e-02 -2.08826974e-01 -8.65613818e-02 1.33469850e-01 1.41006172e-01 8.23637843e-03 -1.51213622e-02 8.15586597e-02 1.26985773e-01 -5.53118885e-02 2.13131239e-03 1.10230725e-02 7.27518834e-03 1.71939149e-01 -5.55129126e-02 -1.93665460e-01 5.62705053e-03 1.18920289e-01 6.82616010e-02 -2.64150314e-02 1.32397423e-02 8.65091309e-02 -2.61682807e-03 -2.39118841e-02 1.72241837e-01 -3.24320840e-03 1.39944479e-02 -1.94541752e-01 1.10795528e-01 1.74391001e-01 2.04004021e-03 -1.11351095e-01 -2.72955932e-02 -4.61230092e-02 1.24787576e-01 1.68343391e-02 1.99881896e-01 1.63789932e-02 -7.74220750e-03 1.73802897e-01 -7.00249802e-03 -2.04568394e-02 -2.63027791e-02 6.26763403e-02 -2.13066023e-02 -4.07593139e-03] [ 0.16054167 0.16820051 0.08823369 -0.03098305 0.00316841 -0.00291718 -0.13763525 0.06424173 -0.0057208 0.00135349 -0.21623303 0.00560319 0.0347417 0.12246586 -0.17638886 -0.2010104 0.0131489 0.15519048 0.1795595 -0.1011735 0.04337576 0.00635217 0.06022893 -0.16942598 0.02892526 0.00949677 -0.07797612 0.013089 0.08553019 0.11754915 0.13478509 0.09239778 0.01290247 0.01070332 -0.14235224 -0.01064917 -0.00630958 0.1777667 -0.01681717 0.04342243 0.03332904 0.01000301 0.002501 0.00310747 -0.00102326 -0.03280364 -0.0279975 0.01659643 0.01411059 0.02953262 0.000375 0.01370111 0.02257915 0.0114707 0.01440777 0.02480591 0.03759432 0.01132572 0.01805901 0.00588052 -0.02014567 -0.1433182 0.02722589 -0.01891203 0.11012448 0.16188627 -0.02248525 0.03863556 0.02261268 -0.05010798 -0.02402449 -0.04313118 -0.00590228 0.00975288 -0.00167925 0.02250774 0.14121638 0.10373818 0.01103643 0.05981394 0.00295572 -0.0266217 0.02038844 -0.18914522 0.05089733 0.07528104 -0.00811155 0.01664087 -0.00108036 -0.18989295 0.08168492 -0.10043119 0.01723905 0.02706232 -0.00119396 0.13090293 0.17278616 -0.17976671 0.00218038 -0.15667112 0.16241509 -0.00442847 0.02206627 -0.05628438 0.01409444 -0.02261393 0.17597243 -0.00866461 0.01753247 -0.1798239 0.15139909 0.17121932 -0.00087819 0.10051606 0.0115452 -0.02043729 0.16895713 -0.00827298 0.17734481 0.02255872 -0.01042426 -0.00631688 -0.02397857 -0.01092236 0.10155104 0.06995849 -0.14481394 -0.00766635] Cos Similarity tf.Tensor(0.40571895, shape=(), dtype=float32) (128,) (128,) [ 2.59645078e-02 -1.01985708e-02 2.70679537e-02 6.30284473e-02 -1.59850530e-02 4.97397874e-03 1.18772164e-02 -1.38807341e-01 6.54399768e-03 -7.07387365e-03 -1.61293074e-01 -6.21989230e-03 5.97900292e-03 -9.29717440e-03 5.62072285e-02 -2.43339166e-02 -4.41240612e-03 -5.85648529e-02 3.42476219e-02 -5.74769161e-04 1.58627927e-01 5.95141314e-02 1.78332657e-01 1.44027188e-01 -4.04717075e-03 9.41698626e-03 -1.10862531e-01 -9.30533337e-04 -1.94296345e-01 1.40211836e-01 -1.53801485e-03 9.46989283e-02 7.62156909e-03 -9.42988787e-04 4.75890748e-02 1.27094015e-02 -1.64178368e-02 -2.15800688e-01 4.92420048e-03 1.29360303e-01 -1.76669613e-01 9.63594485e-03 4.37351922e-03 -3.56155750e-03 5.51975369e-02 -6.13650866e-02 -2.70046107e-02 3.71165015e-03 1.09086428e-02 6.74041314e-03 1.92059041e-03 -1.22040132e-04 -1.83859374e-02 6.14309357e-03 -1.46702835e-02 1.85073842e-03 -1.51979744e-01 1.08680697e-02 5.18181827e-03 3.90830124e-03 -9.06193350e-03 -1.62366435e-01 -2.21351162e-01 1.24035019e-03 2.16942340e-01 -3.27973813e-02 -6.80813473e-03 1.50828680e-03 -1.91521998e-02 5.03486358e-02 -1.82402626e-01 1.50453776e-01 -6.82512252e-03 6.62569515e-03 -3.19537986e-03 -2.27188063e-03 5.89278378e-02 -1.39255328e-02 -8.47461459e-04 -1.24095462e-01 -4.43350989e-04 -5.31814387e-03 5.32284239e-03 -1.08145028e-01 7.90197924e-02 -1.48982788e-02 -1.74365267e-01 -5.89185511e-04 4.62899543e-03 2.08573952e-01 4.96179573e-02 -8.46674740e-02 5.38613321e-03 5.87039068e-03 1.32283038e-02 1.68527350e-01 1.47301480e-01 4.23538908e-02 -1.15850777e-03 -1.35297731e-01 1.22123890e-01 2.01097488e-01 1.84802324e-01 -1.65449068e-01 -3.12562357e-03 -9.45379026e-03 -1.00587346e-01 2.23241057e-02 -1.14129940e-02 1.25352219e-01 1.84869468e-01 1.88964546e-01 3.37453501e-04 -9.05860439e-02 -1.16445003e-02 -2.21295312e-01 5.27305417e-02 -5.02407271e-03 1.55169908e-02 -5.49893035e-03 -7.13775307e-03 2.18376219e-02 1.64397284e-02 -8.35795607e-03 -4.67367880e-02 2.14483738e-02 1.67369272e-03 -1.02289151e-02] [ 7.86567777e-02 -2.03541443e-02 9.76720378e-02 5.26825674e-02 -1.35713983e-02 -3.14834382e-04 1.37270289e-02 -9.25249234e-02 7.87699874e-03 6.00208179e-04 -1.30562142e-01 2.54106484e-02 1.17825884e-02 -1.05646648e-01 8.20018575e-02 -4.86486265e-03 1.03091262e-03 -4.46885414e-02 3.59528214e-02 3.59490775e-02 1.70832992e-01 6.65310919e-02 1.60654977e-01 1.19962335e-01 8.94726254e-03 1.74026992e-02 -1.14296526e-01 -7.01472163e-03 -2.05984458e-01 1.05566487e-01 6.94103241e-02 7.19726458e-02 2.05559395e-02 5.17848926e-03 1.57865331e-01 1.26516791e-02 -5.77462045e-03 -2.12620527e-01 -2.82029132e-03 1.72886282e-01 -1.94640830e-01 1.56176649e-02 9.85469855e-03 3.01407045e-03 3.01850773e-02 -7.79899880e-02 2.62144767e-03 1.02942055e-02 1.75734106e-02 1.07449004e-02 1.19069014e-02 -7.15334245e-05 3.20698367e-03 9.82108712e-03 4.64095594e-03 1.34942010e-02 -1.03239909e-01 2.55967453e-02 2.36884113e-02 2.15420853e-02 -8.16214830e-03 -1.58497557e-01 -2.17693374e-01 5.44404890e-03 2.20875248e-01 -5.40902913e-02 9.29534808e-03 -1.08202044e-02 -4.01887344e-03 8.12258273e-02 -1.80018887e-01 1.64799362e-01 -3.44328443e-03 1.14306295e-02 2.98730331e-03 -1.23183860e-03 -3.31960828e-03 -1.66063458e-02 -2.51690880e-03 -1.35417089e-01 8.76359083e-03 -5.95344976e-03 3.91723868e-03 -9.74293873e-02 5.48453741e-02 7.31795654e-02 -9.98347029e-02 1.70572079e-03 1.16460137e-02 2.11362556e-01 5.02848476e-02 -1.18691787e-01 1.42516699e-02 1.07324757e-02 1.16005400e-02 9.57812518e-02 1.28969744e-01 9.83307883e-03 6.31811703e-03 -6.85900077e-02 1.72959164e-01 2.02073067e-01 1.83940306e-01 -1.82803586e-01 1.08232927e-02 -9.67352476e-04 -1.60230696e-01 2.11050902e-02 9.16290842e-03 4.82823513e-02 1.77174613e-01 1.73571512e-01 1.51828192e-02 -3.78091186e-02 -3.39866132e-02 -2.21277237e-01 4.91567217e-02 2.90995627e-03 4.05538902e-02 1.01915421e-02 3.23923188e-04 1.74597725e-02 3.87950987e-02 1.11909118e-02 -1.25578670e-02 5.93431331e-02 4.25474718e-02 -1.20475674e-02] Cos Similarity tf.Tensor(0.945244, shape=(), dtype=float32) (128,) (128,) [-1.54728126e-02 4.65296395e-02 -1.10744096e-01 1.71610206e-01 -7.78068497e-05 3.49324420e-02 3.59783694e-02 -1.96594279e-02 7.61828618e-03 -4.72459616e-03 -1.76810175e-01 -2.88773328e-03 9.92679317e-03 1.72993019e-01 4.24604281e-04 -1.77322626e-01 8.69560055e-03 1.62411168e-01 8.30119699e-02 -9.69339237e-02 -1.28899917e-01 1.51648223e-01 -5.93972132e-02 -1.67456225e-01 5.42005291e-03 -3.76133271e-03 1.25634253e-01 5.40614035e-03 1.31982654e-01 1.17657132e-01 -1.44840047e-01 6.27236366e-02 -9.11646616e-03 1.54602050e-03 -2.65412731e-03 5.91211813e-03 1.05550392e-02 -1.35757148e-01 -4.04451042e-03 1.17298044e-01 7.20251128e-02 -1.13824587e-02 -1.37206661e-02 -7.98922591e-03 1.48572147e-01 1.26437694e-01 -1.22659914e-01 2.38478184e-03 6.13011187e-03 1.15483506e-02 4.40214248e-03 1.12988232e-02 -4.67796437e-03 7.15660444e-03 9.93253570e-03 3.62925022e-03 -1.62318334e-01 -4.25945688e-03 -2.49650027e-03 7.53796054e-03 1.61816806e-01 -1.06315717e-01 1.54733341e-02 4.78865253e-03 1.51360765e-01 -1.54492810e-01 7.27981678e-04 1.30656525e-01 6.93805004e-03 4.75163050e-02 7.59819224e-02 -1.45967245e-01 -3.27739655e-03 3.67998751e-03 9.76582710e-03 1.94813765e-03 1.18235789e-01 1.04207858e-01 -1.54260415e-04 1.66464239e-01 -1.14607671e-02 -1.53568923e-03 9.67499800e-03 -9.13090706e-02 2.46295929e-02 -1.65067285e-01 -1.79187477e-01 1.73601173e-02 4.72456636e-03 -1.72039852e-01 1.54839400e-02 -1.73759237e-01 -1.18740108e-02 7.23411329e-03 1.50622874e-02 1.63368136e-01 1.00940570e-01 8.51353407e-02 1.10886898e-02 1.27587274e-01 9.88188088e-02 -7.49109536e-02 1.19251937e-01 -1.87341869e-02 -3.98423010e-03 1.16844047e-02 1.44215226e-01 -2.88664270e-03 3.67080374e-03 1.10525832e-01 -1.68638080e-01 6.07249737e-02 1.28880292e-02 -1.70439646e-01 2.14026030e-02 1.24945737e-01 1.71793997e-02 -5.11569483e-03 -3.58661786e-02 1.84846837e-02 2.44316616e-04 1.71925455e-01 -8.27304181e-03 -3.14199217e-02 -8.05893689e-02 4.45886813e-02 -3.14404666e-02 9.00014024e-03] [-0.01914034 0.0476648 -0.06981985 0.171601 -0.00436993 0.02908834 0.00033281 -0.01672409 0.00704055 -0.00131167 -0.17885861 -0.00227134 0.00794007 0.1720323 0.00093486 -0.17819716 0.00066191 0.17431466 0.08999567 -0.10752357 -0.1324664 0.14878042 -0.14307518 -0.17286392 0.00741093 -0.00390897 0.12158184 0.00883781 0.13122995 0.10998686 -0.14261068 0.03905545 -0.00435294 0.00380933 0.01363579 0.00860871 0.00817614 -0.14287846 -0.00724878 0.11866628 0.07937823 -0.01018646 -0.01205982 -0.00789009 0.15122397 0.12655377 -0.12073664 0.00415022 0.0023504 0.01309259 0.00418611 0.01204426 -0.00111805 0.00678186 0.00853162 0.00046929 -0.16423227 -0.00613227 0.00188502 0.00845547 0.16664514 -0.04157945 0.02207227 0.00380653 0.14581686 -0.15333825 0.00133672 0.14692754 0.00869651 0.04476954 0.06710533 -0.14627197 -0.00359328 0.00281363 0.00983621 -0.00360714 0.11220653 0.08752636 -0.00244859 0.16327009 -0.00953962 -0.00183123 0.00858136 -0.09102022 0.02591503 -0.162849 -0.17548703 0.01896309 0.00235468 -0.17165619 0.02160541 -0.18098988 -0.00851557 0.00887331 0.01455944 0.16063644 0.10521812 0.08290023 0.01207146 0.14419435 0.11529349 -0.04188662 0.10700271 -0.02464312 -0.00664315 0.01334319 0.15038851 -0.00278389 0.00758578 0.10213322 -0.16992007 0.05760302 0.01252236 -0.15318356 0.01705102 0.12462866 -0.03332284 -0.00425134 -0.03790706 0.01791473 0.0006958 0.17197081 -0.00422372 -0.03332802 -0.07009465 0.04552031 -0.03293981 0.00531832] Cos Similarity tf.Tensor(0.98910284, shape=(), dtype=float32) (128,) (128,) [-0.18231718 0.09397449 -0.00827616 0.01330529 -0.00718463 -0.01056928 -0.03798178 0.1652109 -0.00513501 -0.0097176 -0.21463731 -0.01180009 -0.00049032 0.16996554 0.02916617 -0.13277335 -0.0199172 0.22705223 0.16840331 -0.10712863 0.03192847 0.0227347 0.07473256 0.14055175 0.00859735 -0.00262311 0.12939529 -0.01091402 0.04118672 0.11402526 -0.1770387 -0.03630358 -0.01453524 -0.01850751 0.01104169 -0.00541668 0.00331553 -0.10417976 -0.00903358 0.04157837 0.07780284 -0.00772598 -0.01406484 -0.00244546 -0.03212452 0.12553094 0.03238149 0.00032227 -0.00221054 0.01505116 0.00260019 0.00911975 -0.00657027 0.00506131 -0.00098666 0.00417106 -0.05535742 -0.00394176 -0.00143913 -0.00688968 0.07189573 -0.04992535 0.11729337 -0.00562298 -0.10380919 0.03358912 -0.00948457 -0.00476675 -0.00568782 0.12796856 -0.00278052 -0.17589757 0.00038057 0.00757802 0.00264056 0.00321042 0.10987332 0.13471588 0.00453465 0.20365043 -0.01881412 -0.00174731 0.00582781 -0.19291925 -0.16659899 0.1326625 0.09566992 0.00385068 -0.01387264 0.06394595 0.06385032 0.14094366 -0.00305014 -0.00201723 0.01274299 -0.09482558 -0.11990646 -0.21087614 -0.00596375 -0.08173938 -0.05283669 0.04351908 0.14349656 0.0382465 -0.01618243 -0.00698125 0.2237841 0.00389585 -0.0170933 -0.1011616 -0.04444564 -0.08668486 0.00178473 0.07436952 0.02628869 0.19638301 0.16215192 -0.00656069 0.12947017 -0.00610681 0.00106324 0.22004236 0.00210046 -0.03580027 -0.16583987 0.03122114 0.00632302 -0.00623932] [-0.18231718 0.09397449 -0.00827616 0.01330529 -0.00718463 -0.01056928 -0.03798178 0.1652109 -0.00513501 -0.0097176 -0.21463731 -0.01180009 -0.00049032 0.16996554 0.02916617 -0.13277335 -0.0199172 0.22705223 0.16840331 -0.10712863 0.03192847 0.0227347 0.07473256 0.14055175 0.00859735 -0.00262311 0.12939529 -0.01091402 0.04118672 0.11402526 -0.1770387 -0.03630358 -0.01453524 -0.01850751 0.01104169 -0.00541668 0.00331553 -0.10417976 -0.00903358 0.04157837 0.07780284 -0.00772598 -0.01406484 -0.00244546 -0.03212452 0.12553094 0.03238149 0.00032227 -0.00221054 0.01505116 0.00260019 0.00911975 -0.00657027 0.00506131 -0.00098666 0.00417106 -0.05535742 -0.00394176 -0.00143913 -0.00688968 0.07189573 -0.04992535 0.11729337 -0.00562298 -0.10380919 0.03358912 -0.00948457 -0.00476675 -0.00568782 0.12796856 -0.00278052 -0.17589757 0.00038057 0.00757802 0.00264056 0.00321042 0.10987332 0.13471588 0.00453465 0.20365043 -0.01881412 -0.00174731 0.00582781 -0.19291925 -0.16659899 0.1326625 0.09566992 0.00385068 -0.01387264 0.06394595 0.06385032 0.14094366 -0.00305014 -0.00201723 0.01274299 -0.09482558 -0.11990646 -0.21087614 -0.00596375 -0.08173938 -0.05283669 0.04351908 0.14349656 0.0382465 -0.01618243 -0.00698125 0.2237841 0.00389585 -0.0170933 -0.1011616 -0.04444564 -0.08668486 0.00178473 0.07436952 0.02628869 0.19638301 0.16215192 -0.00656069 0.12947017 -0.00610681 0.00106324 0.22004236 0.00210046 -0.03580027 -0.16583987 0.03122114 0.00632302 -0.00623932] Cos Similarity tf.Tensor(0.9999999, shape=(), dtype=float32) (128,) (128,) [-1.95313856e-01 -2.42655706e-02 -2.31016967e-02 -8.24444667e-02 -1.03343623e-02 6.71799853e-02 -8.48300830e-02 2.68310100e-01 2.70148763e-03 -8.87748506e-03 -3.44022289e-02 5.28832898e-04 -1.23703573e-02 1.57041818e-01 -4.81177965e-04 -1.23291373e-01 -2.36668438e-02 6.00264184e-02 1.29388928e-01 -6.13910668e-02 1.18786462e-01 -2.67167896e-01 4.19779401e-03 2.30536275e-02 -1.05352672e-02 4.65876795e-03 1.52598381e-01 -3.82679924e-02 1.18654639e-01 -1.55595034e-01 1.83341071e-01 3.62477545e-03 -1.07946880e-02 -3.21637243e-02 -8.96215290e-02 -2.04369370e-02 1.07269862e-03 -3.14980820e-02 -2.53043300e-03 -1.33537605e-01 -1.82457447e-01 1.22874812e-03 -1.03386428e-05 6.43688138e-04 -1.54092684e-01 7.83136413e-02 -6.36216924e-02 -1.57988686e-02 -6.64458191e-03 1.38162086e-02 1.34958755e-02 9.22305509e-03 -1.35272434e-02 2.16613221e-03 -2.11853459e-02 1.06316321e-02 -2.36991588e-02 -1.59146115e-02 -9.28966794e-03 -1.18246414e-02 -2.17301562e-01 -2.20397376e-02 -1.73995227e-01 -5.06815873e-03 -5.45016453e-02 1.46136090e-01 -2.32263692e-02 3.99165507e-03 -1.72254499e-02 2.20143795e-01 9.93465856e-02 -6.68170825e-02 7.51462812e-03 2.90341210e-03 -4.67201043e-03 -3.61257140e-03 -1.91020742e-01 8.88376459e-02 -2.23032330e-05 -7.01459944e-02 -2.79088430e-02 -1.62979383e-02 -1.43875051e-02 4.68049347e-02 4.19416756e-04 -3.19388062e-02 1.29075065e-01 2.27044430e-03 -1.92757864e-02 1.81311950e-01 2.16984943e-01 1.45746674e-02 -1.84530132e-02 1.29165174e-02 -4.15279344e-03 -1.35548726e-01 -1.42332569e-01 1.82595432e-01 -1.57206804e-02 -9.59866419e-02 -1.64727226e-01 3.13439928e-02 -1.27090290e-01 9.23816115e-02 -1.15048876e-02 -1.03944680e-02 2.45555006e-02 4.47379751e-03 -2.97441091e-02 -1.39940754e-01 7.63554648e-02 -3.74989994e-02 -1.09773874e-02 -1.48020191e-02 1.88069697e-02 -1.19727934e-02 8.09954554e-02 -6.82175718e-03 -1.73995093e-01 -2.67892089e-02 3.52560147e-03 5.19668832e-02 7.71545619e-03 -1.48958722e-02 -1.38831129e-02 -2.56239288e-02 -1.82181727e-02 -1.20085385e-02] [ 3.80464233e-02 -1.29155308e-01 4.31188978e-02 8.09656754e-02 1.86371151e-03 4.76161111e-03 -6.99852081e-03 1.55975401e-01 -6.30752742e-03 -4.55249520e-03 -1.86639816e-01 5.13875717e-03 5.21467207e-03 1.25052005e-01 8.35858472e-03 -7.43222460e-02 6.65514544e-03 -1.18153639e-01 1.39112681e-01 8.72779936e-02 -6.22229986e-02 -2.00598136e-01 7.39780962e-02 -3.53605524e-02 2.01617032e-02 8.73658154e-03 1.62160918e-01 5.45276422e-03 1.87286094e-01 -1.12762764e-01 1.80026665e-02 -6.90756589e-02 -1.88722555e-02 2.34159734e-02 -1.69471893e-02 3.17640156e-02 1.04591222e-02 -1.80221841e-01 1.41226668e-02 7.83285722e-02 -2.07511306e-01 -2.36642105e-03 3.61727970e-03 7.40341796e-03 -1.75690204e-01 -4.07116078e-02 1.72836352e-02 7.09890388e-03 4.99419589e-03 1.99707933e-02 2.09733117e-02 1.22578358e-02 2.48202439e-02 9.19193123e-03 4.71622124e-03 1.56534091e-02 1.12461768e-01 -1.23385834e-02 -4.68083378e-03 2.04667188e-02 -1.30199820e-01 -1.02235079e-01 -1.98125660e-01 1.32470115e-04 -1.30147949e-01 -1.53442830e-01 -3.41367652e-03 -1.82017729e-01 -2.29164516e-03 1.56438395e-01 4.43999991e-02 -1.57784253e-01 9.01608914e-03 -3.36363888e-03 1.50139751e-02 5.37734153e-03 -1.40238464e-01 7.55269155e-02 -5.73203620e-03 -1.85220480e-01 1.26198642e-02 4.57177963e-03 7.70151455e-05 -1.09238014e-01 1.52970627e-01 3.68982404e-02 6.01403825e-02 1.30181480e-02 5.55844232e-03 3.13534699e-02 1.39758706e-01 -4.20297608e-02 9.53280646e-03 6.23237761e-03 -4.76879650e-04 -5.93320429e-02 -1.41249642e-01 2.06652969e-01 3.40356189e-03 1.26809359e-01 -1.81582704e-01 -3.68438885e-02 1.19650327e-01 1.16077587e-01 -7.71339051e-03 -1.22854393e-02 -5.37396595e-03 1.60905216e-02 1.07806753e-02 2.80013978e-02 9.47317630e-02 -1.48240142e-02 9.73380078e-03 -5.88044673e-02 -6.05685152e-02 -7.32144117e-02 -1.08087480e-01 1.32017347e-04 -2.14240745e-01 1.17130438e-02 2.96043828e-02 -9.68512967e-02 3.96679714e-02 7.55188800e-03 -1.61617428e-01 2.28277240e-02 -1.01426609e-01 1.11765843e-02] Cos Similarity tf.Tensor(0.5282466, shape=(), dtype=float32) (128,) (128,) [-0.07617835 -0.06390212 0.21657537 0.00338308 -0.00710932 0.01092044 -0.03331839 -0.02450061 0.01845995 0.00881263 0.10970145 0.03701994 0.0353296 -0.09072457 -0.02733351 0.09615751 -0.00194144 0.07567272 0.19351432 0.0811544 -0.04272693 -0.03118349 -0.1200258 -0.18684918 0.02798811 0.00489766 0.00853468 -0.0014483 0.11215165 0.14815044 0.08733936 -0.04028453 -0.03758842 0.00649194 -0.16915591 0.00105152 0.00404151 -0.20020732 -0.00382638 0.15048534 0.09352081 0.00294547 0.00849078 0.02331145 -0.10204947 0.02748443 -0.09113801 0.04434723 0.01617211 0.02376542 0.01714251 0.00134751 0.04915397 0.00633967 0.06764434 -0.00265556 0.15795296 -0.01978915 0.02489568 0.01711133 0.03257444 0.17962484 -0.18810463 -0.01436565 0.08537856 0.09200681 -0.00314248 0.1261889 0.01521437 -0.18941979 0.04442625 -0.04432553 0.02657859 0.02868078 0.01116449 0.01992905 -0.14461634 0.12401202 0.00226687 -0.00847062 0.00770249 -0.08754186 -0.01089565 -0.12189747 0.04624149 -0.16118303 -0.13415599 0.0369103 -0.00075266 0.03201051 -0.05774603 0.13020648 0.01263622 0.03606011 -0.01646904 0.05022042 0.17243141 -0.04593557 0.01085951 0.14846125 -0.19715872 -0.0003824 0.17680457 0.18738234 0.00765106 0.01249136 0.04574726 0.02443296 0.04042999 0.08995651 -0.08727262 -0.01818654 -0.01770952 0.0195825 0.04377413 -0.16066884 -0.1360175 0.00592355 -0.21257927 0.04866701 0.00312954 0.09135436 0.03853731 -0.02702167 0.17935568 0.08109876 -0.07029432 0.00057136] [-3.25417565e-03 -1.02950230e-01 -2.76573538e-03 1.95239633e-01 -8.97988584e-03 3.13108112e-03 1.81112215e-01 7.32200816e-02 8.99186544e-03 -7.98399746e-03 1.00236900e-01 8.68642051e-03 5.78038394e-03 -4.32793833e-02 6.49979189e-02 2.16451138e-01 1.51185528e-03 2.68419795e-02 -9.65840295e-02 -1.13490641e-01 -1.27390742e-01 1.29027352e-01 6.89024031e-02 5.16102649e-02 -1.18646314e-02 -2.23594368e-03 1.39991909e-01 -7.93749280e-03 -8.37942362e-02 -1.04288265e-01 -7.16989785e-02 1.62548351e-03 -5.38211036e-03 -4.09559682e-02 -3.68622169e-02 -3.49956192e-02 2.40359874e-03 -2.23540843e-01 -9.60539561e-03 1.62707090e-01 -2.04648525e-01 2.11154073e-02 3.37531237e-04 -1.15484251e-02 -7.21817017e-02 -6.38670996e-02 -1.52022406e-01 -1.14243962e-02 9.26936697e-03 8.81552789e-03 1.57142654e-02 2.50490941e-03 -4.86386986e-03 1.17266667e-03 1.13190385e-02 1.28363529e-02 3.70541438e-02 9.94500238e-03 1.53117524e-02 9.42970533e-03 1.81382537e-01 8.81044045e-02 -9.10082385e-02 -1.36412429e-02 5.88324107e-02 -6.99021965e-02 1.11575495e-03 5.02428189e-02 1.20305503e-02 -1.03807986e-01 2.07677752e-01 5.75116649e-02 1.15093170e-02 4.93962225e-03 8.27459991e-03 1.73105039e-02 -1.99649468e-01 -1.19106069e-01 -1.48446136e-03 1.02292642e-01 9.13086999e-03 -8.72983783e-03 -2.80411765e-02 -8.84211808e-03 2.09295265e-02 -1.35195807e-01 -1.85218093e-03 1.19501045e-02 -6.37694262e-03 -1.52167297e-04 3.54892388e-02 1.79744616e-01 -6.52470905e-03 1.15021523e-02 1.80865210e-02 -8.57743397e-02 2.27022357e-02 9.89600047e-02 6.19314192e-03 1.21454336e-01 1.87610254e-01 -1.54597461e-01 1.41556084e-01 1.48711354e-01 1.47945248e-02 -1.36973253e-02 -2.13495612e-01 7.21336063e-03 1.00160586e-02 1.50269508e-01 1.47547677e-01 -1.74653992e-01 -1.17170382e-02 -1.23238973e-01 6.83389977e-03 -1.70347199e-01 -1.47327915e-01 2.37095281e-02 -1.95686147e-02 -1.37808854e-02 -3.91364237e-03 -9.00135636e-02 2.67896373e-02 -1.64604004e-04 -1.23872653e-01 5.22037335e-02 4.92462004e-03 9.24317725e-03] Cos Similarity tf.Tensor(0.22240695, shape=(), dtype=float32) (128,) (128,) [ 5.1438626e-02 4.0168140e-02 3.4935664e-02 1.0100895e-01 -5.4291524e-03 -1.1834910e-02 3.9667571e-03 6.7864567e-02 -5.4260972e-03 -4.5961058e-03 1.6080592e-02 4.5154571e-05 1.5901979e-02 1.1404039e-01 9.3166897e-04 2.5371304e-02 9.7723398e-04 -1.1468700e-02 1.3627496e-01 -7.7932529e-02 -1.7232649e-01 -2.2216290e-02 1.4935620e-01 2.0643432e-02 -2.2905529e-02 -1.9860088e-03 -1.8430449e-02 4.7921464e-03 -9.5109098e-02 -6.3442402e-02 -6.4931117e-02 -5.9777033e-02 -5.6195594e-03 2.3803307e-02 1.3087222e-01 -1.8390860e-02 6.6961627e-03 1.7428917e-01 -1.2000704e-02 1.7825438e-01 2.0363613e-03 -1.9043149e-02 -3.2125412e-05 7.5931964e-03 1.3516526e-01 -1.1786410e-01 1.1743480e-01 2.2930203e-02 1.1166311e-02 -3.9725360e-03 7.0676962e-03 7.9550762e-03 -1.3776061e-03 1.5404408e-02 -4.4933767e-03 1.4982501e-02 3.3156857e-02 9.1882423e-03 4.3136338e-03 -1.3043030e-02 9.8441213e-02 6.1628472e-02 8.8550694e-02 1.1669993e-02 -2.6108850e-02 2.1439366e-01 4.0570800e-03 -1.8485796e-01 -3.8378205e-04 1.5359949e-01 1.0875645e-01 -1.2623861e-01 1.2455009e-03 2.0953933e-02 -1.4387883e-02 1.7490499e-02 2.1235846e-01 7.0613712e-02 2.9717749e-03 2.3991053e-01 -1.3843678e-02 -1.2516197e-03 8.2205003e-03 -1.2081422e-01 -1.4772440e-01 1.3547383e-01 1.5534902e-02 7.1993275e-03 -1.4449618e-03 1.9447823e-01 2.1794447e-01 1.5775412e-01 8.0994051e-03 5.8962887e-05 1.5480020e-02 1.8016768e-01 -9.0233929e-02 -1.7520432e-01 9.1184154e-03 -7.1294338e-02 5.5751890e-02 -8.7091252e-02 1.6073847e-01 1.3229215e-01 -1.4569929e-02 -7.7780592e-03 -1.0007751e-01 1.3191792e-02 -9.6400763e-05 -9.4792277e-02 -3.2936115e-02 -9.1498137e-02 4.4637860e-04 -1.5872324e-01 -8.1296749e-02 -1.8583387e-01 1.3785055e-01 -2.6108840e-02 7.6530236e-03 -4.4254102e-03 -1.4841235e-02 1.6933329e-01 1.7515322e-02 -1.6275121e-02 -1.2671059e-01 -4.0453874e-02 -1.2507756e-01 6.5058209e-03] [ 1.23061873e-01 1.26467600e-01 5.68679944e-02 -1.92730844e-01 -1.97358406e-03 3.63664068e-02 1.02641523e-01 6.82468489e-02 1.12477718e-02 4.58627427e-03 -1.93352550e-01 -3.31365783e-03 5.80377085e-03 -1.19581504e-03 5.01153730e-02 -1.64318889e-01 1.16749136e-02 9.99480635e-02 1.85060501e-01 -5.03830723e-02 -1.41930431e-01 -1.12646051e-01 1.45405471e-01 -4.72131558e-02 1.30000885e-03 -1.49159878e-02 1.74708888e-01 -2.00532423e-03 -7.32271895e-02 1.90401301e-01 -1.76493034e-01 7.89209828e-02 2.79090349e-02 1.90436561e-02 6.48740903e-02 3.32312402e-03 1.91724263e-02 6.42450601e-02 -1.43065741e-02 9.47662517e-02 -9.70900655e-02 -2.97125150e-03 -5.95574640e-03 6.48182491e-03 9.85308439e-02 1.39285460e-01 1.94797032e-02 2.94521619e-02 1.53638180e-02 2.36681011e-02 6.20510057e-03 8.16465821e-03 1.17216315e-02 1.52707370e-02 7.56899919e-03 1.08190849e-02 -2.14961581e-02 -1.54521537e-03 -1.59248721e-03 -2.49105738e-03 5.54535985e-02 1.80894002e-01 1.38014585e-01 7.47889234e-03 -1.65604234e-01 1.37457371e-01 1.40499277e-03 -8.93732458e-02 1.32960081e-02 1.72540456e-01 1.45506144e-01 -1.07354268e-01 -1.14339553e-02 1.10848323e-02 -3.10718338e-03 6.16743462e-03 1.84926122e-01 6.03668168e-02 3.85908713e-03 1.74536765e-01 -8.76356289e-03 -1.43234292e-03 1.90010816e-02 9.11478624e-02 -1.59035936e-01 -5.42108528e-02 -1.03098847e-01 1.22833475e-02 -3.20144952e-03 1.71769820e-02 7.35415742e-02 -2.20911875e-02 6.91074226e-03 6.23472547e-03 2.71648057e-02 5.00973016e-02 -1.74006984e-01 -1.52822658e-01 5.59097622e-03 9.61624365e-03 1.32379934e-01 -1.63124353e-01 1.65994018e-01 1.64791077e-01 4.26624995e-03 1.76315438e-02 1.10123433e-01 8.22320767e-03 1.09915324e-02 -1.68226827e-02 -1.01116918e-01 3.03335395e-02 1.62775051e-02 -6.37476444e-02 2.43963150e-05 8.17957669e-02 -2.22062296e-03 -1.86457913e-02 -1.30139530e-01 1.62952431e-02 -9.56445932e-03 1.74985334e-01 7.33441114e-03 -3.08995601e-03 -1.87572375e-01 -1.07565485e-02 -4.57047261e-02 4.88953490e-04] Cos Similarity tf.Tensor(0.5090735, shape=(), dtype=float32) (128,) (128,) [ 2.17279512e-03 1.33543298e-01 9.16207805e-02 1.91806883e-01 -1.94781348e-02 -1.15472600e-01 5.65065332e-02 -2.52327383e-01 -2.82020657e-04 -2.33175466e-03 1.35576248e-01 5.66445151e-03 1.65806524e-02 -2.96116173e-02 4.13319804e-02 -2.04861939e-01 -3.47952679e-04 5.80594502e-02 4.00571823e-02 9.14293453e-02 -1.14265837e-01 1.21149808e-01 -1.90938681e-01 1.65879309e-01 -2.22101137e-02 9.22189839e-03 -6.39699399e-02 -4.40607639e-03 -1.08610079e-01 -1.47851497e-01 1.04221702e-01 4.05640043e-02 1.07650869e-02 -1.91010777e-02 -1.92368999e-01 -7.49407755e-03 -1.99691392e-03 3.70840207e-02 5.76701993e-03 -1.16567008e-01 4.10367139e-02 7.07802689e-03 -1.43994130e-02 6.31339895e-03 -2.38291129e-01 -1.24700919e-01 7.09800944e-02 -4.45210189e-03 1.28652072e-02 6.95844786e-03 7.74465036e-03 2.86588212e-03 -2.43948214e-02 6.15567295e-03 -1.48382643e-02 -1.30977919e-02 -7.10742399e-02 -6.48645079e-03 2.94765737e-03 -1.49633102e-02 1.01261385e-01 -1.24723479e-01 1.43613935e-01 -1.95360165e-02 -4.10051569e-02 7.24103153e-02 -8.59752949e-03 1.50652975e-02 -1.20491358e-02 1.24385003e-02 -9.90763865e-03 -5.08607663e-02 -4.86879144e-03 -6.21455675e-03 -1.23376744e-02 8.03387351e-03 3.74893993e-02 5.67571931e-02 -1.25207671e-05 9.28521827e-02 3.51627171e-03 -1.35810778e-01 -7.24246632e-03 2.05121562e-02 -6.39235741e-03 3.13052312e-02 -1.11056119e-01 2.84441584e-03 -5.01429476e-03 1.60710365e-01 1.85656264e-01 -1.75379571e-02 9.37478617e-04 9.82625969e-03 -1.78199951e-02 -1.37986422e-01 -1.05247609e-01 -1.97090983e-01 -1.67996541e-03 -9.77331400e-02 -1.73253063e-02 5.13302572e-02 -1.91228002e-01 1.28781259e-01 -4.72767837e-03 -1.24160824e-02 -6.47071898e-02 1.34398695e-02 -1.20199821e-03 1.57781411e-02 -1.39158428e-01 1.93239942e-01 -1.23620117e-02 -2.96328571e-02 -5.49108088e-02 -9.57515091e-02 1.74779877e-01 -5.95070934e-03 8.31318125e-02 -2.63323691e-02 5.86310262e-03 2.39100903e-01 1.30728269e-02 8.17164837e-04 -1.24268338e-01 9.89889652e-02 -6.66706413e-02 -1.58112496e-02] [-0.09049712 0.11851254 0.11217675 0.1802196 -0.02736282 -0.03067328 -0.01619649 -0.21238203 0.00219109 0.00313462 0.12601395 0.00587307 0.01085535 -0.06090716 0.05825048 -0.2381958 -0.00672735 0.07129166 -0.14676076 -0.03814009 -0.1476541 0.09873202 -0.17866886 0.13389558 0.01774864 0.01222498 -0.04250086 -0.0075346 -0.03338227 -0.14367603 0.08761677 0.09060203 0.00925214 -0.03468225 -0.16207215 0.03129179 0.00407625 -0.07357118 0.01222386 -0.10042555 0.05417107 0.00666872 -0.0151241 0.0245441 -0.23192514 -0.06222964 0.13792339 -0.01642443 0.00652954 0.01564083 0.00913769 0.00624279 0.00404265 0.01097808 -0.01208832 -0.01263158 -0.07317311 -0.02100865 0.00246084 -0.00968707 0.0995305 -0.14123234 0.10962989 -0.03304214 -0.05148445 0.07917644 -0.01428144 0.14731702 0.00130838 -0.02943765 0.03604631 -0.12883717 -0.00971325 -0.00534161 -0.00310316 0.00938948 0.03199334 -0.09940508 0.00705502 0.06907375 0.00379682 -0.00581523 -0.01081453 0.04994699 0.07031066 0.08884147 -0.12301496 0.01405531 -0.00552268 0.08095279 0.16307446 0.11569607 -0.00249394 0.0116301 -0.01626006 -0.15024409 -0.11686134 -0.21810664 -0.0024723 -0.06582774 -0.0535525 0.02299692 -0.1773348 0.12744324 0.00871753 -0.01362284 -0.03753735 0.00828374 -0.00348382 0.00275348 -0.17798774 0.19582 0.00476695 -0.0760852 -0.02802049 0.06962517 0.18752132 0.00345577 0.14932613 -0.01292509 0.00591884 0.18463382 0.02416252 -0.00082913 -0.1048362 0.09432632 -0.05746679 -0.01616826] Cos Similarity tf.Tensor(0.8655746, shape=(), dtype=float32) (128,) (128,) [ 1.54919043e-01 -1.37684524e-01 8.06254670e-02 1.67138711e-01 9.01088212e-03 6.37068450e-02 6.08779527e-02 1.76952645e-01 7.84341712e-03 5.72214415e-03 -1.47048041e-01 -4.52858070e-03 2.69718166e-03 -3.84842865e-02 8.62992629e-02 -1.36175871e-01 5.24333399e-03 8.12771097e-02 -1.52536819e-03 -1.09520175e-01 1.00697480e-01 1.42196000e-01 -1.45591898e-02 1.58527598e-01 9.38600488e-03 1.46153162e-03 3.66157703e-02 2.00626673e-03 -8.06958005e-02 -1.68062791e-01 3.29618491e-02 1.07495792e-01 2.19607130e-02 -1.88149251e-02 8.15689787e-02 8.42706591e-04 4.88963397e-03 3.04820929e-02 -8.18089675e-03 9.92382467e-02 -1.30636513e-01 7.00951181e-03 -5.06088417e-03 1.20692013e-03 5.84078319e-02 9.49323997e-02 -8.05435181e-02 1.56707112e-02 5.84953791e-03 -3.31306271e-03 -2.30010902e-03 3.54539651e-07 2.79199751e-03 2.00336426e-02 6.12029247e-03 1.66191664e-02 -1.33709028e-01 -4.67705308e-03 -2.45537632e-03 6.14194525e-03 1.57199726e-01 -8.77694115e-02 -1.15031525e-01 -1.78599786e-02 -1.66451469e-01 1.09200068e-01 6.38583209e-03 1.59525275e-01 1.91520378e-02 -1.47666708e-01 -1.48511842e-01 -5.28403185e-02 9.24757030e-03 1.86128989e-02 -4.45554173e-03 2.35931706e-02 1.05058379e-01 4.28619199e-02 -1.87748566e-03 9.40149799e-02 6.16222853e-03 -1.02383018e-01 3.24721332e-03 -1.11162804e-01 1.75902039e-01 1.31779537e-01 1.27582088e-01 1.00751789e-02 -2.61730165e-03 1.52637377e-01 8.12807679e-02 1.69232443e-01 1.94333177e-02 1.91499218e-02 5.52368397e-03 1.66978449e-01 -1.39092848e-01 8.74752626e-02 9.63374693e-03 1.80506796e-01 -1.63918972e-01 -1.55189395e-01 -1.12968095e-01 -1.06337696e-01 1.48484698e-02 5.05036954e-03 -3.59433144e-02 3.46541102e-03 -6.40242174e-03 1.22529067e-01 3.57960835e-02 1.47179961e-01 5.20340959e-03 -9.46167707e-02 2.56234091e-02 1.67616934e-01 -9.18345824e-02 3.29826522e-04 1.63842455e-01 -2.52187792e-02 6.10255450e-03 -1.26495108e-01 9.50321648e-03 -9.25157405e-03 1.33546233e-01 1.09930867e-02 4.16470645e-03 2.02532465e-04] [ 1.48908406e-01 1.53719977e-01 8.15815553e-02 -8.83009881e-02 1.64975114e-02 1.15010208e-02 -1.72850415e-02 5.33209704e-02 -3.05076549e-03 -6.01885794e-03 -2.12437242e-01 4.08590259e-03 1.31585281e-02 1.35158360e-01 8.58973712e-02 -1.32443488e-01 3.86284385e-03 9.56439897e-02 1.43299803e-01 2.85010114e-02 -3.58189791e-02 1.95917532e-01 9.21438783e-02 6.66960999e-02 2.79361364e-02 8.88388697e-03 1.80583328e-01 9.66655184e-03 -1.71411365e-01 1.70850307e-02 -1.55352637e-01 7.58253336e-02 -3.49497832e-02 5.47496509e-03 -1.18340708e-01 -1.24868331e-03 1.15268435e-02 -8.48071575e-02 -9.34119988e-03 1.25533137e-02 -1.99424326e-01 -4.64190077e-03 -2.63054180e-03 -2.51168497e-02 2.60840617e-02 7.06346110e-02 1.04033753e-01 1.00857681e-02 1.39726792e-04 2.25911383e-02 6.45872555e-04 1.01460256e-02 -1.52026415e-02 1.46340830e-02 1.37454029e-02 3.04147112e-03 -1.09356500e-01 -4.42571705e-03 3.75211611e-03 1.06264958e-02 -7.23687187e-02 -3.14751677e-02 1.99327454e-01 -2.40966910e-03 -2.11394265e-01 -2.65967846e-02 2.07504607e-03 -2.02933662e-02 9.23250895e-03 9.44765955e-02 4.84392643e-02 8.55119154e-02 3.39286262e-03 -5.42895170e-03 1.38120381e-02 1.20900869e-02 8.26744288e-02 -1.21676609e-01 -1.20046614e-04 1.68072641e-01 -7.57575035e-03 -2.38531884e-02 2.05965899e-02 1.57517076e-01 -1.36320323e-01 1.16369739e-01 1.93059415e-01 5.76917361e-03 -1.15630161e-02 -1.80697404e-02 7.58401528e-02 2.09575132e-01 1.46296446e-03 1.17768832e-02 -1.17820371e-02 -8.67305696e-02 1.18301898e-01 -1.37393206e-01 3.02143442e-03 8.63383189e-02 1.85493276e-01 9.38320458e-02 8.01748186e-02 8.04616064e-02 4.12020041e-03 2.75111217e-02 1.53030664e-01 2.47810013e-03 8.11800547e-03 1.50957808e-01 -6.13428093e-02 1.50520712e-01 -6.75971445e-04 -1.28831401e-01 5.67673706e-02 1.21737771e-01 1.75322548e-01 1.12173147e-03 -2.15310026e-02 -1.54219810e-02 -2.66970973e-03 -6.56235814e-02 -2.07091775e-02 -1.78685877e-02 -1.40333578e-01 4.79581347e-03 -5.71418479e-02 1.44152017e-02] Cos Similarity tf.Tensor(0.121467344, shape=(), dtype=float32) (128,) (128,) [ 0.06894609 0.16062836 -0.05842282 0.07572562 0.00320609 0.15488064 0.13482435 0.04338093 -0.00628004 -0.01257842 -0.13945363 -0.00466223 0.02228257 0.16134955 -0.02674117 0.10614946 0.00152959 0.11571147 0.14865445 -0.13648246 0.15469994 0.09402647 -0.12141599 -0.02680132 0.01073127 0.00489332 -0.11481281 0.01330018 0.03373885 -0.16798502 -0.00917529 0.18980655 -0.01031373 0.01329757 0.06312621 -0.01085592 -0.00584388 0.00140828 -0.01130088 0.07748918 0.22120881 0.00047009 0.00087675 -0.0252605 0.20954828 0.06543723 0.141534 -0.0153039 0.00062459 0.01312978 0.01360424 0.00472348 0.00206428 0.00476017 0.01842096 0.01696642 -0.20694116 -0.00772117 -0.01236886 0.00732405 0.05346012 0.10107657 0.05273579 0.01095582 0.0155883 -0.16713347 -0.00032249 -0.04778869 0.01374624 -0.05167291 0.13878457 0.12333284 0.00648607 -0.01755054 0.00726743 0.02655023 0.20395097 0.10772938 0.00284195 0.14520536 -0.01038169 -0.00381346 -0.01059498 0.1536543 -0.10030896 -0.14606787 0.08075201 0.01342629 -0.00530752 0.02705148 0.08849256 0.08999254 -0.00187221 0.01095035 0.00903242 0.16977967 -0.00126745 -0.07311898 -0.00311946 0.14879996 0.14252229 0.06035715 0.18940929 0.09868789 -0.00074441 0.01243329 -0.01609508 -0.00249892 -0.01070689 0.11279682 -0.13836366 0.12019073 0.01035162 0.12732324 -0.00678677 -0.17080148 0.1700515 0.00814512 -0.03329769 0.00562095 0.00865962 -0.10378399 -0.01227761 -0.02366942 0.06109784 0.0441068 -0.01962449 -0.0003896 ] [-0.028377 0.19315158 -0.00405279 0.03150322 -0.0124702 0.01177187 0.13636747 -0.17609614 -0.00909135 -0.00190723 -0.103038 -0.0151019 0.02079071 -0.08255468 0.02847539 0.04099952 0.0180527 0.0008428 0.18494341 -0.12093596 -0.06351902 -0.10343737 0.14641793 0.06811652 -0.00220687 -0.00683863 -0.17187367 0.01105894 -0.04364191 0.06893197 -0.10857022 0.16612448 0.0174539 0.01012061 -0.06258309 0.00262991 0.01455919 -0.04983722 -0.00705246 0.07892889 0.04465936 -0.00930412 0.00813462 -0.01052332 -0.05724863 0.08125373 -0.10418402 0.0052546 0.01327826 -0.01692389 0.01526736 -0.00093313 0.00525309 0.01212706 0.01699124 -0.00073334 0.15688084 0.01171034 0.02081419 0.00400177 -0.005415 0.14616002 0.17728008 0.01860764 0.18905282 0.20063248 -0.0044052 -0.04908618 0.00378898 0.04617045 0.04074904 0.20748526 0.00511561 0.00378572 -0.0027736 0.02902208 0.1901202 -0.03536512 -0.00761859 0.21864508 -0.02335441 -0.00089399 0.00424885 0.00238351 0.11633855 0.10804567 0.11640387 0.00826997 0.00279827 0.18758304 -0.09809768 0.01535426 0.01089737 0.02002346 0.00249419 0.21198016 0.13145433 0.15048414 -0.00656342 -0.04652514 0.14225121 0.1983785 0.13120219 -0.12163156 0.01287748 -0.02124267 -0.13351448 0.0201193 0.00823998 0.12582973 0.12106773 -0.19447173 -0.00413518 -0.01281365 -0.0005702 -0.00395241 -0.0054886 -0.01713357 -0.1327284 -0.0010493 0.00452427 0.09726743 0.02608393 -0.01807411 0.08096991 0.04391595 0.09654708 0.00079042] Cos Similarity tf.Tensor(0.1609065, shape=(), dtype=float32) (128,) (128,) [ 3.37756379e-03 8.75839815e-02 -9.72915217e-02 -1.78820372e-01 -2.56977435e-02 2.15227548e-02 1.11290991e-01 -2.17780367e-01 -9.19562182e-04 -3.86815146e-03 -1.62055328e-01 -7.75332982e-03 7.13228015e-03 2.42026113e-02 7.93164894e-02 -1.94389179e-01 1.83446589e-03 1.14355564e-01 6.99994043e-02 -5.82440104e-03 1.89490736e-01 9.81118903e-02 -1.73944030e-02 -1.35452762e-01 -1.84636563e-02 5.11834573e-04 -1.05556294e-01 -1.82206035e-02 -1.33330589e-02 -4.80617657e-02 5.83280474e-02 -1.40228510e-01 -5.53818652e-03 -1.57133397e-02 -1.73846439e-01 -7.83265382e-03 -1.35941207e-02 -5.01773730e-02 4.67849011e-03 -5.55071793e-02 1.91238239e-01 1.57524755e-06 -1.57310944e-02 -2.65435153e-03 -1.88354403e-01 -7.83971846e-02 1.21072881e-01 3.68224597e-03 1.46173518e-02 1.05210757e-02 1.06004570e-02 4.10148321e-04 -2.61754412e-02 1.36732566e-03 -1.50058065e-02 1.70971674e-04 -2.77728792e-02 7.52856815e-03 6.08282210e-03 -1.63268782e-02 1.38280854e-01 -4.04037051e-02 -1.50167450e-01 -1.61502287e-02 -3.09432596e-02 3.21960300e-02 -1.44360894e-02 1.37955487e-01 -1.26272244e-02 1.45353302e-02 -1.70554265e-01 1.67775288e-01 -3.57432337e-03 5.41327475e-03 -1.00367460e-02 1.34972809e-02 8.31366926e-02 1.72582000e-01 -1.02612399e-03 1.46701008e-01 2.53249705e-03 -6.65681735e-02 4.23329510e-03 -1.34910807e-01 5.24850620e-04 6.22832403e-02 -1.27642527e-01 2.79479683e-03 -9.45139583e-03 1.31782368e-01 9.64465737e-02 -1.93961129e-01 8.44782591e-03 -2.75964406e-03 -1.33565078e-02 -7.51335770e-02 3.85078378e-02 -1.79293841e-01 2.58674589e-03 -1.28701612e-01 3.18601727e-02 -1.41438708e-01 1.18913886e-03 1.72858790e-01 -2.13454477e-02 -1.26299132e-02 -1.80005983e-01 1.53380744e-02 -3.60592594e-03 -9.08433273e-02 1.15565620e-01 7.65031576e-02 -2.43162587e-02 -1.62712902e-01 -4.32280190e-02 -7.19902804e-03 3.86158638e-02 -1.39605738e-02 -1.01353526e-01 -3.12334746e-02 1.54113432e-03 1.70470670e-01 1.40833156e-02 -5.77238563e-04 1.44456849e-01 7.97095299e-02 1.13535687e-01 -1.25675471e-02] [ 7.49723986e-03 1.09109327e-01 -1.16064794e-01 -1.49033323e-01 -2.07327809e-02 1.78711098e-02 1.45647436e-01 -2.02577576e-01 -8.78544711e-03 -1.11080508e-03 -1.48757428e-01 -7.52238557e-03 1.57735236e-02 9.57284719e-02 9.57728550e-02 -1.90577090e-01 6.13476429e-03 8.16912949e-02 1.00363635e-01 4.41402011e-02 1.94330573e-01 1.35750756e-01 -8.70117173e-02 -7.18459561e-02 -1.54480366e-02 4.72421898e-03 -7.01319724e-02 -1.85043961e-02 -7.95141142e-03 -1.20786525e-01 8.11383426e-02 -7.52919018e-02 -9.17409826e-03 -2.45921575e-02 -1.56683207e-01 -1.38060879e-02 -1.29196718e-02 -8.87814760e-02 9.22811031e-03 -6.17770739e-02 2.14679897e-01 -9.56061194e-05 -1.54341608e-02 -4.86313016e-04 -1.66275427e-01 -4.61407797e-03 8.48063305e-02 4.09126561e-03 1.52990166e-02 1.70525778e-02 1.29762990e-02 1.03488739e-03 -3.16789895e-02 2.96924473e-03 -1.23968488e-02 8.05048912e-04 -2.24712584e-02 8.28506891e-03 4.29298030e-03 -1.14736473e-02 9.15300380e-03 -2.91156191e-02 -1.62976101e-01 -1.27344197e-02 4.51526651e-03 9.53855887e-02 -1.54482601e-02 1.40787363e-01 -2.05849595e-02 -2.61924174e-02 -1.53498322e-01 1.35745764e-01 -2.42812256e-03 4.75697743e-04 -7.19548063e-03 1.40032629e-02 8.92843455e-02 1.59261137e-01 5.11365989e-03 1.45087615e-01 3.39609617e-03 -6.41993992e-03 -5.36740292e-03 -1.70005530e-01 8.40643607e-03 4.14644368e-02 -1.46475151e-01 2.93515157e-03 -5.98712126e-03 1.17704026e-01 9.04410928e-02 -1.55246794e-01 1.02768894e-02 6.95305334e-06 -1.63510591e-02 -7.62556344e-02 1.06150143e-01 -1.91660613e-01 3.64464032e-03 -1.11003630e-01 7.41610900e-02 -1.69834137e-01 -1.56015545e-01 1.71840817e-01 -1.61985029e-02 -1.37514789e-02 -1.32876828e-01 1.24311699e-02 3.13853053e-03 -6.21487983e-02 1.23628229e-01 -4.18124981e-02 -1.90972611e-02 -1.98165029e-01 -1.35006849e-02 -1.49837837e-01 4.23566960e-02 -7.44059263e-03 -1.95900034e-02 -3.25648375e-02 -3.99842579e-03 1.40250877e-01 1.21953031e-02 -2.43160743e-02 1.55779883e-01 6.70488700e-02 9.58079472e-02 -9.71284509e-03] Cos Similarity tf.Tensor(0.9204854, shape=(), dtype=float32) (128,) (128,) [-8.83917660e-02 -1.36459962e-01 1.18292190e-01 -1.33196875e-01 3.03206518e-02 4.01151367e-02 -1.30197525e-01 -7.17007071e-02 1.41791580e-02 2.34857425e-02 -1.50166556e-01 1.16317287e-01 8.29691887e-02 -8.78679678e-02 5.29618971e-02 1.61693633e-01 4.46354151e-02 9.48142782e-02 1.68848932e-01 -3.66223939e-02 7.19811022e-02 1.49620563e-01 -8.88749883e-02 7.84214363e-02 3.06513682e-02 1.82362385e-02 -1.74008295e-01 2.66794637e-02 -9.17442143e-02 -7.58571252e-02 1.15729280e-01 6.65772799e-03 -9.74711180e-02 7.66171739e-02 6.85841665e-02 4.62708622e-02 5.63616678e-02 2.48969579e-03 -4.75624837e-02 7.54402131e-02 3.17669846e-02 1.41126560e-02 1.14567727e-02 -7.08521577e-03 -9.35376287e-02 1.55840218e-01 -6.16436377e-02 1.90370753e-02 6.42608181e-02 -1.53221032e-02 1.28916800e-02 1.24944185e-04 1.05213463e-01 4.85050604e-02 1.14435688e-01 7.16364533e-02 1.46834731e-01 1.19459452e-02 5.90744540e-02 7.41339698e-02 1.84568077e-01 -3.54089588e-02 1.68589503e-01 8.01529512e-02 -1.87159225e-01 5.37107661e-02 4.95320298e-02 9.61631909e-02 6.32810071e-02 2.87883468e-02 9.96213406e-03 6.67693838e-02 1.22059155e-02 6.27266765e-02 -8.26198235e-03 9.75228548e-02 2.01130852e-01 7.31483027e-02 -6.91506490e-02 -4.22927812e-02 4.89662513e-02 -7.12803518e-03 2.94588301e-02 5.55690303e-02 -1.30038440e-01 -2.17301976e-02 -9.13932621e-02 3.44484821e-02 1.93597618e-02 -7.80360848e-02 -1.37760386e-01 1.79283142e-01 6.11379929e-02 2.48152893e-02 3.08341123e-02 9.61407498e-02 7.73049816e-02 -1.54050350e-01 2.98401397e-02 -1.64437890e-01 1.95926487e-01 -1.41649798e-01 1.54736698e-01 5.75792640e-02 3.96827385e-02 -5.21804169e-02 2.62640528e-02 6.40892461e-02 1.09458484e-01 9.13201943e-02 -1.07377350e-01 4.24916558e-02 5.96853904e-02 -1.94692577e-03 4.56884429e-02 -4.40316871e-02 -1.57180011e-01 2.00303886e-02 -1.29492536e-01 3.95728648e-02 -2.71867551e-02 1.09632768e-01 5.23845106e-02 -3.22935800e-03 1.28266877e-02 2.73698140e-02 -3.35239023e-02 1.85495615e-02] [ 0.02632636 -0.0977803 0.08157832 -0.10537031 0.03832728 -0.02373621 -0.15497978 0.01402242 0.07445695 0.02078984 -0.0496298 0.05506178 0.0542951 -0.12103721 -0.01159453 0.12937717 0.05992984 -0.08775172 0.09992313 -0.01770938 -0.05254585 0.0171581 -0.15697922 0.11338572 0.04628365 0.01226583 -0.11548383 0.02213963 -0.21266903 -0.2108944 0.21159042 -0.08008659 -0.03342839 0.05556401 0.18562697 -0.00692438 0.03303399 -0.09616841 -0.06373985 0.17240207 -0.11697899 -0.01301798 0.01590948 0.00862907 -0.07864533 0.05695691 -0.07062935 0.03370548 0.05747964 0.02196372 0.02018214 0.00404469 0.08967251 0.04416936 0.11337044 0.05763011 0.16124661 0.00976172 0.07830183 0.03610668 0.06161796 -0.10812587 0.04308147 0.0329879 -0.1341803 -0.09638301 0.03586322 0.07611826 0.05385895 -0.03804003 0.06289999 0.0987161 0.0082878 0.01028214 0.02040986 0.07641637 0.17313336 -0.01375832 -0.03178608 -0.1974675 0.03860484 -0.0068862 0.01074928 -0.15803258 -0.15527968 -0.13179411 -0.17276059 0.0399085 0.03871676 -0.00288471 0.02363294 -0.19555558 0.04714018 0.05402514 0.06323484 0.12708303 0.14060378 -0.09748593 0.02195315 0.12323231 0.13876514 -0.14165762 -0.04539795 0.00216066 0.03976465 0.04317338 0.00232704 0.07424198 0.10309975 0.13001929 0.00988436 0.07461064 0.03459076 -0.06138761 -0.09644465 -0.01340999 -0.05871283 0.01666906 -0.02373917 0.05457093 0.00556765 0.062381 0.09851611 0.01839925 0.12424397 0.10756352 -0.006555 0.01870283] Cos Similarity tf.Tensor(0.57556546, shape=(), dtype=float32) (128,) (128,) [-1.16256483e-01 8.67278725e-02 9.61698368e-02 -4.05633524e-02 -1.36238141e-02 -4.59666252e-02 -1.14673199e-02 2.71735881e-02 2.31146975e-03 -8.93868133e-03 -2.62854218e-01 6.09820662e-03 3.19399266e-03 1.64380476e-01 6.45589456e-02 -9.42951813e-02 -2.00171135e-02 -2.73676571e-02 4.00871336e-02 -7.13888928e-02 1.70687586e-01 -8.90571177e-02 -1.03224963e-01 -2.79829092e-02 -2.80544767e-03 2.17445334e-03 -3.72442231e-02 -2.68045012e-02 1.18452333e-01 8.83267447e-02 -1.75639883e-01 1.90829560e-01 -3.92065337e-03 -6.35780161e-04 -1.05299547e-01 1.38589162e-02 -7.23557500e-03 -4.81534414e-02 6.70837099e-03 -1.00780666e-01 -1.02882534e-01 -5.80257224e-03 -2.10098666e-03 -4.95616393e-03 2.13652290e-02 1.10052712e-01 -2.66073947e-03 6.17614575e-03 8.63452069e-03 1.83056667e-02 5.20983897e-03 5.41771576e-03 -7.07389275e-03 5.33743948e-03 -5.31550311e-03 7.89185241e-03 8.62024277e-02 -1.08562456e-02 -1.55578856e-03 -6.87530171e-03 3.21480557e-02 -8.66388008e-02 7.87844732e-02 -2.94421683e-03 -1.41201884e-01 9.26561188e-03 -7.67710805e-03 -8.91001225e-02 -3.91154754e-04 -1.63091403e-02 1.08588092e-01 -2.04658166e-01 -2.47227319e-04 2.34985980e-03 -3.83218378e-03 3.72419832e-04 1.49764091e-01 4.60870527e-02 2.97031552e-03 2.33332634e-01 -1.61087308e-02 -1.45402283e-03 7.89565127e-03 6.57090247e-02 -2.21256569e-01 1.63133830e-01 6.23879209e-02 1.14710424e-02 -1.09641431e-02 7.04048350e-02 8.94012898e-02 1.08167343e-01 -2.50086444e-03 3.07384483e-03 -8.42224248e-03 2.22203970e-01 1.06136963e-01 -2.37101734e-01 -1.50168519e-02 -8.69602934e-02 4.65220064e-02 9.12834629e-02 1.16195522e-01 -1.36812016e-01 -2.25980785e-02 1.00514200e-02 1.25430807e-01 1.26331812e-02 -1.32844094e-02 -1.49321526e-01 3.64408419e-02 -1.29567668e-01 -1.58978521e-03 1.46458179e-01 -5.11475431e-04 1.03565738e-01 2.00660840e-01 -9.30250157e-03 -1.20121531e-01 -1.20862266e-02 6.50911266e-03 5.71267046e-02 4.47860360e-03 -3.39808390e-02 -2.22610727e-01 4.46832702e-02 -9.31704696e-03 -1.20515730e-02] [-0.07971339 0.08515852 0.07674479 -0.04211926 -0.00265128 -0.0309529 -0.03528404 0.03093028 0.00141022 -0.00741067 -0.23528439 0.00614232 0.00450457 0.14081402 0.05052363 -0.14217332 -0.0070234 -0.00377039 0.09479016 -0.14596692 0.15295123 -0.16639462 -0.02962348 -0.00763207 0.01400771 0.00045019 -0.01454365 -0.02294373 0.10276425 0.11065389 -0.20761366 0.18687376 -0.00430376 0.0029906 -0.03481111 0.00528451 0.00279092 -0.02416731 0.00630319 -0.06883658 -0.06577243 -0.00923852 0.00230307 -0.00771217 0.06436468 0.15486364 -0.00284517 0.00665277 0.01028001 0.0239803 0.00558889 0.00845652 -0.00748425 0.00698163 -0.00171259 0.00831542 0.08296985 -0.0117226 0.00150311 0.00054519 0.05888491 -0.1649436 0.07982721 0.00463579 -0.16587983 0.00969587 -0.00406384 -0.09166258 0.00481159 -0.00153996 0.10825632 -0.18271457 -0.0015125 0.00225185 0.00198906 0.00467227 0.12944023 0.04303863 0.00489072 0.1974793 -0.01105688 -0.00291349 0.01663516 -0.00988504 -0.22282426 0.15037364 0.09137308 0.00561051 -0.00462666 0.09411623 0.07545708 0.13747297 0.00508738 0.0045294 -0.00027228 0.21225424 0.06166884 -0.21632616 -0.0090514 -0.0981559 0.16105561 0.07840493 0.12437969 -0.10052659 -0.00958376 0.01118717 0.18205878 0.01330783 -0.00227397 -0.21246602 0.04518416 -0.11534911 0.00289703 0.07973881 -0.00862554 0.10207094 0.16300564 -0.00512419 -0.05267574 -0.00066208 0.00630073 0.05259052 0.00550239 -0.02836705 -0.21044561 0.05831862 0.02921126 -0.00706291] Cos Similarity tf.Tensor(0.95053035, shape=(), dtype=float32) (128,) (128,) [ 0.09340925 -0.06577811 0.05474912 -0.09489275 -0.0002403 0.10629155 0.1046512 0.01162163 -0.00469711 0.00146463 -0.19089411 -0.02739497 -0.02700131 -0.09238029 0.09496328 -0.16265291 0.00765977 0.23229268 0.06233016 -0.17756826 0.1493852 0.11371551 -0.00664695 -0.14491226 0.01786003 0.00446712 0.02156159 -0.0050302 -0.02988943 -0.07814822 -0.22978798 0.126267 0.01890915 -0.01627422 0.00284104 0.01484906 -0.03387363 0.05887169 -0.0044926 0.04670679 -0.1132834 0.00093648 -0.00374493 -0.00638321 -0.02729164 0.08394999 0.19599944 0.02935387 0.01501588 0.01984621 0.00592013 0.0081601 0.01392313 0.00658761 -0.01097568 0.01876714 0.15799643 0.00199895 -0.01661877 -0.00180611 0.00220924 -0.16482867 0.14754331 -0.00330259 -0.02048896 -0.21419372 -0.01318345 0.08833309 -0.00539169 -0.1575837 -0.15311289 -0.04340286 0.01071132 0.01586401 -0.01881122 0.01133401 0.08796792 0.04614282 -0.00421784 0.01927385 -0.00029866 -0.00834073 0.00881485 0.0678177 0.0276264 -0.14577566 -0.03660437 0.01333211 -0.003813 0.07951815 -0.1265392 -0.00570436 -0.01392389 0.01592232 0.00852019 0.21918969 0.01461728 -0.21381642 0.00037591 0.132088 0.15932101 0.02705394 -0.11452649 0.12379427 -0.01227377 -0.03146933 0.10721951 -0.01051721 0.00568842 -0.2031725 0.024335 -0.04927951 0.01754318 -0.18995214 0.03733443 0.08554545 0.09477005 -0.01592522 0.16866669 0.01879058 -0.00520302 0.17291813 0.01967981 -0.01149994 0.02516266 0.02942942 -0.01216959 -0.00336208] [-0.03713703 0.0630644 0.03032481 0.01209831 -0.00592587 -0.00260748 0.05500474 0.09696295 -0.00938135 0.00236885 -0.18872431 0.01321933 0.01182247 -0.02412322 0.09229282 -0.04839027 0.01004547 0.06525157 0.11141353 0.07439376 0.02274781 -0.15565927 -0.00709021 0.04395067 0.02426815 0.01835506 0.09235517 0.00734822 0.09305026 0.1867723 -0.17772608 0.10871403 0.04331199 0.04118998 0.06085103 0.02742938 0.04054762 -0.0288914 -0.03231777 -0.04438295 -0.07502372 -0.01041444 -0.0011664 0.00317912 -0.01075756 0.1826415 -0.08285011 0.01776491 0.02407297 0.03510545 -0.00059097 0.00363377 0.03671518 0.02204879 0.03121981 0.00882256 -0.04736207 0.01139164 0.03131984 0.00749151 0.10155757 -0.1688223 0.1883693 0.0259498 -0.1633133 -0.11463946 -0.00888383 -0.14138101 0.0178447 0.1341464 0.04408301 0.14851652 0.00373051 0.02104448 0.00556965 0.03357177 0.1674636 0.08628944 0.00747283 -0.11756171 0.00801541 -0.00536927 0.02304774 -0.08465405 -0.18065394 0.14679243 -0.05483786 0.00350714 -0.00178332 0.17295355 0.13079567 0.18539988 0.02036635 0.00370879 0.01102952 0.15114921 0.14894898 -0.18936506 0.01264404 -0.03226317 0.18934011 0.15834318 0.16076365 0.18472946 0.01140558 0.00761856 0.18925858 0.01939358 0.03050115 -0.19674052 0.06497966 -0.14458145 0.0229474 0.02501326 0.05551232 0.05703339 0.12751885 0.00066562 0.08965478 0.01705756 -0.01122257 -0.02450207 0.03868435 -0.02710915 0.00254051 0.02827535 -0.07101236 -0.00156847] Cos Similarity tf.Tensor(0.3073386, shape=(), dtype=float32) (128,) (128,) [ 8.35076198e-02 -6.95455968e-02 8.61617252e-02 4.66797054e-02 1.59859774e-04 4.97562587e-02 9.47590396e-02 -1.20377645e-01 2.51016654e-02 -6.74707675e-03 1.07384965e-01 1.51388375e-02 1.30090863e-02 7.40662171e-03 1.63180634e-01 -3.00934520e-02 1.05152586e-02 2.09676594e-01 -2.11975306e-01 -1.18888140e-01 7.54335970e-02 1.10348374e-01 1.26439277e-02 -1.47239387e-01 6.15039701e-03 -1.22821676e-02 -1.91470802e-01 2.27747262e-02 -9.84210223e-02 -5.02462126e-02 1.15284577e-01 -2.06278726e-01 8.21714662e-03 -2.74422951e-03 1.17373183e-01 9.13707819e-03 -1.04145491e-02 2.06013575e-01 -2.86929235e-02 -1.52632624e-01 -3.86814550e-02 -6.47154637e-03 2.55712162e-04 1.40647804e-02 -4.37847748e-02 -1.08996771e-01 -1.31081209e-01 7.81719014e-03 1.94232352e-02 1.98354591e-02 6.04989985e-03 5.28074277e-04 -1.07281450e-02 1.39785046e-02 4.54419106e-03 -8.70334357e-03 3.74920703e-02 -9.86299710e-04 -3.89709137e-03 -1.26478979e-02 1.75029457e-01 -9.66372564e-02 5.14645986e-02 -2.07061647e-03 -8.16718340e-02 3.76366973e-02 2.87683937e-03 -1.26466053e-02 9.33280028e-03 1.32021978e-01 -1.57424957e-01 -1.14769459e-01 -1.05260303e-02 3.20792608e-02 -6.71862857e-03 2.26239339e-02 1.17395120e-02 1.11340031e-01 -2.85306433e-03 8.32514912e-02 -5.99832321e-03 1.78797927e-03 2.47205086e-02 -9.23545212e-02 -6.59233257e-02 -2.07906201e-01 1.61747530e-01 1.91802019e-03 4.86235425e-04 -2.02215284e-01 1.37654930e-01 -2.39889771e-02 1.32302586e-02 1.44707505e-02 -1.74052846e-02 1.52706653e-01 8.44706222e-02 1.63680967e-02 1.24292942e-02 -1.02638930e-01 -3.94293629e-02 8.08697939e-02 -1.42294820e-02 1.29533306e-01 3.44593870e-03 -1.48087488e-02 -1.77374780e-01 -5.97429578e-04 4.62498143e-03 5.65036200e-02 1.82696328e-01 1.57870591e-01 3.57584609e-03 -1.62071720e-01 4.93629128e-02 1.45427614e-01 9.48725790e-02 -4.75093909e-03 -9.49099660e-02 -2.66799964e-02 -1.29389856e-02 -9.84520093e-02 1.60634760e-02 1.78192202e-02 1.78184226e-01 -6.37081563e-02 -4.34340276e-02 -4.46163071e-03] [ 0.03431218 0.12986024 0.10242979 0.10712444 0.01662023 0.00829939 -0.05578478 0.02279403 0.00454159 0.00079095 0.15352465 0.00375012 0.01731958 -0.04674033 0.15323067 -0.00752232 0.03195374 0.21063447 -0.19676809 -0.1546665 0.1124509 0.06444858 0.1486604 -0.04927855 0.00993242 -0.00900287 -0.1323848 0.02252624 0.0756998 0.08320884 0.18751894 -0.2003167 -0.01110162 0.01968921 0.17093553 0.01069039 0.02371672 0.15477811 -0.04506747 -0.03767519 -0.04029758 0.00719948 -0.00035214 -0.0103085 0.01001134 -0.18045415 0.0352078 -0.00990993 0.02780439 0.00179349 0.00468175 -0.0012519 0.01929801 0.01430942 0.02875631 0.0044646 0.16745792 -0.01639864 0.01262121 0.00451234 0.15953642 0.05990279 0.10262172 0.02230192 0.17269713 -0.1630192 0.01395133 -0.05605608 0.01104654 0.14133961 -0.15869913 -0.16457127 -0.0033217 0.01280032 -0.02401959 0.03138677 -0.01214248 0.04953546 -0.01292188 -0.00951795 0.00898 0.00059291 0.01301275 0.11500801 -0.04652061 -0.19484861 0.11357732 0.00713668 0.00711631 -0.14263597 -0.12310552 0.00490416 0.00743252 0.02595312 0.00074288 0.09186745 -0.08016899 -0.06378942 0.01410829 -0.16740085 0.1781911 0.00896594 -0.16448648 0.19686332 -0.00525609 -0.05691098 0.01972873 0.02103346 0.01758041 -0.02058385 0.09666007 0.08323255 0.04805608 -0.07667567 -0.03286529 -0.13090292 0.16125524 -0.00071999 -0.14212796 0.02040561 0.0071217 0.01377939 0.03857298 0.01572076 0.07125339 0.02120273 -0.02112564 -0.00762255] Cos Similarity tf.Tensor(0.5743315, shape=(), dtype=float32) (128,) (128,) [ 1.31004199e-01 1.78973109e-01 -2.73238542e-03 -3.40542533e-02 -7.81711377e-03 -3.42390090e-02 -1.04878815e-02 3.00926045e-02 1.84966397e-04 -1.71443680e-04 -7.13116974e-02 1.89293884e-02 2.16375180e-02 -1.34055987e-01 1.57612786e-01 -9.53554809e-02 1.66640040e-02 1.52887687e-01 1.87265962e-01 -1.57781914e-01 4.48159873e-02 3.39592481e-03 9.05365273e-02 7.71535560e-02 1.56011172e-02 8.39019194e-03 2.03504145e-01 1.15973167e-02 1.02379611e-02 3.47830653e-02 -8.82461965e-02 1.33870840e-01 1.38467494e-02 1.14097791e-02 -2.34410483e-02 1.43769262e-02 1.12091769e-02 -1.91022635e-01 -3.23288143e-02 -1.52970850e-01 -6.56873807e-02 -1.26928454e-02 8.99853837e-03 1.78282782e-02 -2.09468588e-01 -1.01216607e-01 -2.04989910e-02 2.03461926e-02 2.28418559e-02 2.18096655e-02 2.02744324e-02 8.26422998e-04 2.09056139e-02 1.03731016e-02 1.51464203e-02 2.68945657e-02 -6.49480745e-02 -1.78799406e-02 1.78833529e-02 5.21941110e-03 9.54450667e-02 -1.49679899e-01 7.21501932e-02 1.11741396e-02 8.94256495e-03 2.09379539e-01 8.06324277e-03 -1.41939461e-01 -1.83204445e-03 -3.43205109e-02 -2.27444544e-02 8.08069408e-02 5.25778485e-03 1.83175821e-02 5.47113502e-03 3.87954935e-02 8.33918005e-02 -1.87247731e-02 -2.10017152e-02 -9.48103890e-02 8.36182851e-03 -3.36409844e-02 6.69432059e-03 -2.11275563e-01 -1.67542636e-01 1.07678100e-01 2.18732715e-01 2.25558523e-02 9.29841492e-03 5.78886978e-02 -1.33332282e-01 1.85002964e-02 1.40476972e-02 1.54258022e-02 -1.42938001e-02 1.95440263e-01 -5.26782721e-02 -1.24756850e-01 -3.77605972e-03 9.52774808e-02 1.69893891e-01 4.47750539e-02 1.61866531e-01 1.22917235e-01 1.19160172e-02 -2.34235381e-03 5.81594147e-02 4.59476328e-03 2.19444539e-02 -2.02707916e-01 -4.04996658e-03 1.95612267e-01 1.20900488e-02 4.72083837e-02 -8.43285993e-02 4.38622795e-02 -5.08119948e-02 -4.00177799e-02 1.33797511e-01 3.65431653e-03 5.35096088e-03 1.41826555e-01 4.16519903e-02 5.28914016e-03 -1.39840618e-01 9.28003863e-02 4.82797883e-02 -9.03846230e-03] [ 0.04431544 0.00868635 0.06191007 0.02783134 -0.00257705 -0.00859093 0.11224435 -0.06908022 0.01825693 0.00726046 -0.08544061 0.03815921 0.04262085 -0.17585906 0.17513296 -0.0243251 0.03681963 0.16321802 0.17711087 -0.01112836 0.04670655 0.0140628 -0.1490236 0.12038012 -0.01979574 0.00155529 0.15630732 0.00778737 0.02344198 0.1340978 0.03984607 0.0922669 0.00774284 0.0189906 -0.18965334 -0.00093872 0.0550561 -0.11240496 -0.02332205 -0.06610968 -0.05661614 0.00564874 0.00985248 -0.01949429 -0.11686 -0.11493882 -0.0021015 0.02347291 0.03111556 -0.00572805 0.02529592 -0.00850332 0.06704258 0.01614607 0.04064281 0.03881666 -0.01228214 0.02254334 0.04053773 0.02733091 0.21267696 -0.14799345 0.19024397 -0.02054206 0.00451987 0.17169778 0.00315356 0.04725287 0.02443033 -0.04017634 -0.05789527 0.17598908 -0.00547306 0.0262078 -0.00120597 0.05174121 -0.00516588 -0.0434193 -0.02865884 0.09885209 0.02198272 -0.03632888 0.01837738 -0.18546578 -0.05403889 -0.1791448 0.01253947 0.04151827 0.01368478 -0.20931727 -0.1575118 -0.15513706 0.00105415 0.04233907 -0.00780566 0.18259488 0.06743459 -0.18195368 0.01684576 0.21569535 0.15875332 -0.03331726 0.11295112 0.01301561 0.03230307 -0.03981593 0.10643132 0.01068429 0.06018829 -0.0394339 -0.00924177 0.18770045 0.04474707 0.01817389 -0.07349338 -0.03938238 0.05546764 -0.0328339 -0.04507432 0.05512285 0.00311143 0.13256834 0.06528771 -0.00141689 -0.1607188 0.12025446 -0.03730721 -0.01184572] Cos Similarity tf.Tensor(0.6143696, shape=(), dtype=float32) (128,) (128,) [-1.98860765e-02 -6.17142022e-02 8.13549908e-04 -1.62518099e-01 -1.55459958e-04 8.92895237e-02 -1.34253189e-01 5.19619919e-02 7.65918754e-03 1.06363383e-03 3.14342044e-02 2.66447254e-02 1.58310793e-02 -1.11735538e-01 9.93435830e-02 -1.46868788e-02 8.35535768e-03 -6.51400629e-03 -6.32169098e-02 8.70625004e-02 8.42472687e-02 1.22657888e-01 -5.68045862e-02 7.69663602e-02 9.47384280e-04 3.51478742e-03 5.60799949e-02 -8.83030798e-03 1.49843469e-01 1.70615911e-01 -6.14398792e-02 -7.10363239e-02 2.09640283e-02 4.29912237e-03 2.18779057e-01 -5.28460788e-03 -9.90924053e-03 1.57400683e-01 -1.17282746e-02 1.95557117e-01 -1.36722296e-01 -1.17935119e-02 9.90390498e-03 -8.01125169e-03 -6.95545822e-02 -5.99812306e-02 1.87250867e-01 2.85356250e-02 1.70297399e-02 8.64922348e-03 1.12945009e-02 9.15360078e-03 8.55973363e-03 1.22127533e-02 6.91456115e-03 8.67097639e-03 7.82802179e-02 -1.99758541e-02 1.23946145e-02 6.79497141e-03 -4.20995280e-02 -1.61035955e-01 8.34551305e-02 -4.38727066e-03 -2.02796608e-01 2.17088506e-01 3.70088237e-04 -1.85181405e-02 9.34485253e-03 1.16334796e-01 -1.68758750e-01 1.99563414e-01 6.21288735e-03 7.31402636e-03 9.00165818e-04 2.56896690e-02 1.61649268e-02 -1.30839437e-01 -2.87304260e-03 7.47257322e-02 1.45891551e-02 -1.11064513e-03 1.11882854e-02 -8.87145996e-02 -7.42402375e-02 1.71041951e-01 6.96792528e-02 1.28004132e-02 -9.42407205e-05 -6.52366728e-02 1.49110436e-01 -1.10268697e-01 2.20720228e-02 1.41309705e-02 9.35563294e-04 -1.96161970e-01 -1.61542431e-01 5.58381937e-02 1.17368456e-02 -1.76524982e-01 7.33868852e-02 -3.00171971e-02 -1.31370276e-01 -1.35205537e-01 -1.60042476e-02 -3.44945192e-02 -2.18061522e-01 3.61651070e-02 1.62697900e-02 -7.62765259e-02 -4.75091673e-02 1.66456178e-02 2.62251943e-02 6.35122210e-02 -1.22584544e-01 -8.99889022e-02 1.36208311e-01 5.33790747e-03 -1.09237008e-01 -3.70001048e-02 -2.23018648e-03 -4.54885550e-02 1.82710756e-02 2.74380483e-03 -1.42901555e-01 -6.01888597e-02 -1.57317623e-01 -1.21217303e-03] [ 1.75252572e-01 -4.13578264e-02 1.97648467e-03 -1.04515634e-01 -1.15987472e-02 1.11659132e-01 -1.54016256e-01 3.55575494e-02 8.00718553e-03 3.03374545e-04 5.37696555e-02 1.39446240e-02 1.28719432e-03 -6.06051870e-02 8.04856122e-02 -6.61794320e-02 -1.56655014e-02 -7.98192322e-02 -7.32912570e-02 1.12063915e-01 -6.54247925e-02 3.88443023e-02 -1.69688880e-01 2.76671909e-02 1.00265415e-02 3.75574618e-03 -9.80338752e-02 -2.74190120e-03 1.49985000e-01 8.01058039e-02 -1.14656039e-01 -1.66826904e-01 1.96135454e-02 1.54995276e-02 1.99163467e-01 1.73971634e-02 -1.00356899e-02 -5.83364367e-02 -1.10749435e-02 2.05595240e-01 -1.77498519e-01 -8.23370274e-03 8.86251591e-03 1.01273786e-02 -9.42823142e-02 -3.90280373e-02 8.57565403e-02 1.11049917e-02 1.48193166e-02 -6.47144113e-03 5.94153022e-03 8.48520361e-03 7.09638046e-03 7.60655990e-03 -5.07638138e-03 8.22151266e-03 -7.50051364e-02 -1.96374599e-02 -3.27654090e-03 -5.42983144e-05 -1.64282143e-01 6.24508001e-02 1.28031045e-01 -2.50402559e-02 -2.03387052e-01 1.56811640e-01 -7.01412428e-05 5.97939081e-02 -6.86618660e-06 2.73521654e-02 -2.05149531e-01 8.99823755e-02 6.54445682e-03 9.49948002e-03 -8.50633904e-03 1.44254472e-02 1.18560111e-02 -8.60535204e-02 7.79556343e-03 -1.49126679e-01 9.06175468e-03 1.85648616e-06 2.43713288e-03 -1.31999999e-01 7.86888972e-02 1.84403852e-01 1.19135208e-01 1.06993532e-02 -2.89206393e-03 -1.68263674e-01 1.73530072e-01 -3.90568674e-02 3.47821340e-02 1.57416239e-02 -1.65254751e-03 -2.08762050e-01 -1.56394556e-01 -1.40808094e-02 5.78527991e-03 -1.68022648e-01 8.02106410e-02 1.78539604e-01 -4.30130810e-02 -1.87264681e-01 6.01444207e-03 -2.22949311e-02 -1.56880811e-01 3.42826508e-02 9.17978957e-03 3.87345031e-02 -2.78327558e-02 -1.27950445e-01 1.14428923e-02 -4.90403958e-02 -1.13581561e-01 7.11549744e-02 1.24790482e-01 2.87706953e-05 -8.24550837e-02 -3.06890579e-04 -1.89053745e-03 -4.58086282e-02 2.39384640e-03 1.03152217e-02 -4.94637825e-02 -4.98663783e-02 -1.42321259e-01 -3.42037063e-03] Cos Similarity tf.Tensor(0.7127051, shape=(), dtype=float32) (128,) (128,) [ 8.58395845e-02 7.63250664e-02 -5.35633229e-02 -1.85638279e-01 -3.42790447e-02 -2.40732022e-02 3.94261032e-02 -2.50070989e-01 2.04864307e-03 -4.54127928e-03 -2.01196268e-01 -7.29942089e-03 1.20060965e-02 7.94994365e-03 2.58827377e-02 -1.47124261e-01 1.31395552e-03 1.26599278e-02 3.50305364e-02 -5.11061400e-02 1.77951381e-01 1.24418564e-01 -1.85340475e-02 -1.33297905e-01 -1.88679993e-02 -4.92888852e-04 3.99158476e-03 -2.91973446e-02 1.28069535e-01 -1.72380567e-01 5.99586852e-02 -1.15066312e-01 -1.53246440e-03 -2.00991388e-02 -9.98596773e-02 -2.24582007e-04 -5.66365058e-03 -1.14388980e-01 1.01225898e-02 1.45346147e-03 1.48443878e-01 -5.75119979e-04 -1.19754802e-02 1.86454970e-03 -2.41437644e-01 4.68127914e-02 1.29254222e-01 5.02865994e-03 1.60589740e-02 1.20481690e-02 1.24574248e-02 1.02790236e-03 -2.23003570e-02 3.35524394e-03 -1.14665460e-02 -1.36825116e-03 -1.43054202e-01 5.54907415e-03 4.11677733e-03 -6.39947085e-03 1.35586143e-01 8.04960802e-02 -1.37988716e-01 -2.30405666e-02 -1.52290866e-01 1.00555785e-01 -1.35946432e-02 -2.79954374e-02 -1.84143353e-02 -7.03938156e-02 -4.99025360e-02 1.18942633e-01 -4.37028613e-03 5.28029725e-03 1.35985250e-03 1.39271300e-02 4.67592850e-02 1.73510000e-01 -3.96502466e-04 1.93513975e-01 -1.48141116e-03 -1.03854060e-01 -9.87051520e-03 -4.98359650e-02 -5.45797981e-02 3.43294330e-02 -1.73325568e-01 4.15820815e-03 -7.78082153e-03 1.57243565e-01 1.08893111e-01 -2.13921592e-01 9.80529748e-03 -6.52508810e-04 -1.23176742e-02 1.34901956e-01 1.18757881e-01 -1.32695273e-01 -6.33169618e-03 -1.25435486e-01 -1.23312533e-01 -3.48838121e-02 4.84264158e-02 1.94666609e-01 -1.63839944e-02 -7.79968593e-03 -1.74211711e-01 5.77543583e-03 -2.02613766e-03 -5.25878184e-02 1.23626225e-01 9.01533663e-02 -2.77046897e-02 -1.38968900e-01 -5.25261797e-02 4.19254526e-02 6.56226203e-02 -1.88500267e-02 -7.83890560e-02 -2.87728235e-02 5.41468943e-03 1.14652820e-01 1.59241874e-02 -2.72927061e-03 7.29296207e-02 5.73675819e-02 6.15047477e-02 -1.41281933e-02] [ 0.02009268 0.05132607 -0.11066395 -0.17004462 0.00117966 -0.02987057 0.02331577 0.01492372 -0.00920777 0.00368658 -0.2523978 -0.01663993 -0.00025391 0.11093268 0.07550076 -0.16371122 0.0013175 0.15701485 0.03005841 -0.05928202 0.18579143 0.10728981 0.02850639 -0.12772973 -0.00073614 0.00055539 -0.09373818 -0.02032943 0.10909241 -0.17104225 0.03573981 -0.13635229 0.00341744 -0.02481314 -0.07632923 0.00324731 0.00852132 -0.09340721 0.00095391 -0.06021721 0.17245863 0.00242855 -0.01429412 -0.00195527 -0.22979213 0.07296264 0.13475621 0.00351323 0.00990915 0.02677301 0.00895523 0.01403874 -0.00675189 0.00712238 -0.00591115 0.01294876 -0.09219034 0.00581156 -0.00361389 -0.0007041 0.11986592 0.08970717 -0.15254217 -0.01551892 -0.12872614 0.10771123 -0.00923056 -0.02227027 -0.00994487 -0.03727482 0.05272203 0.09147172 -0.00985005 0.00586515 0.00848512 0.01122061 -0.0535159 0.15665692 0.00593145 0.0856561 -0.01427991 -0.08306744 -0.00725101 -0.03089421 -0.10718641 0.05961388 -0.07040269 0.00977275 -0.0038124 0.17680502 0.11601374 -0.21916781 0.00248059 0.00812637 0.00329383 0.06789687 0.09010771 -0.20507593 0.00103451 -0.08632065 -0.09504266 -0.08759218 0.07824209 0.20037328 -0.01531946 -0.00837191 -0.20552011 -0.00285371 -0.00055715 -0.05042895 0.10302322 0.12933561 -0.02026791 -0.15400104 -0.04025075 -0.0676421 0.16807261 -0.00136161 -0.04523902 -0.0156696 -0.00299691 0.1586631 0.01575036 -0.00032236 0.12235503 0.07046159 -0.01457657 -0.01186666] Cos Similarity tf.Tensor(0.8760196, shape=(), dtype=float32) (128,) (128,) [ 1.21615209e-01 1.76291600e-01 7.86777288e-02 -3.67120206e-02 -4.96621709e-03 -1.32638797e-01 7.06996098e-02 1.56349346e-01 -1.95943341e-02 -4.00646171e-03 -1.98122963e-01 2.34832847e-03 8.54708662e-04 1.57498699e-02 9.31663588e-02 -1.72080085e-01 -4.07184270e-04 -8.36879238e-02 -2.36419030e-02 5.48125580e-02 1.63129002e-01 1.11320406e-01 1.74474582e-01 -1.96292624e-03 1.67824961e-02 1.97481993e-03 -8.21907297e-02 6.11595064e-03 -7.50168785e-02 1.64861931e-03 -4.69889119e-02 -1.42555892e-01 -5.67344541e-04 1.39772017e-02 1.06813006e-01 1.41584603e-02 3.62212444e-03 -1.24574468e-01 -1.67577639e-02 -1.39064983e-01 1.71659812e-01 -2.58388510e-03 -6.26912282e-04 4.33427747e-03 1.82888374e-01 1.87251806e-01 1.05068859e-04 1.13038709e-02 1.07023967e-02 2.71666665e-02 3.78009258e-03 4.17185575e-03 -1.00364666e-02 1.19918697e-02 2.29760190e-03 1.48081798e-02 -8.32554698e-02 -6.21047476e-03 -7.39817601e-03 -1.43674726e-03 3.98612805e-02 -1.69821560e-01 1.62902638e-01 7.73764448e-04 -4.44882736e-02 1.41279027e-01 -7.25748297e-03 4.68341745e-02 1.61092728e-02 9.98892114e-02 -2.30236538e-02 -7.10422248e-02 8.78748670e-03 -6.64724712e-06 -1.19440362e-03 1.81880314e-02 1.83543891e-01 -1.22793935e-01 1.42293675e-02 -1.19642265e-01 6.37412995e-06 -7.65513349e-03 1.79859847e-02 -8.73617157e-02 -1.14985980e-01 9.31417197e-02 2.08136439e-01 4.90028504e-03 -7.01694749e-03 -1.43621281e-01 1.41196296e-01 -1.00938626e-01 2.26135645e-02 1.72109455e-02 -1.68047212e-02 -1.10052489e-01 -1.39180079e-01 -1.71058938e-01 -1.28342910e-03 9.44667310e-02 -9.74462256e-02 -1.61796123e-01 1.78203523e-01 -5.13900444e-02 -4.21163952e-03 -1.82965621e-02 5.07198833e-02 9.85460915e-03 -4.85599553e-03 -1.56187475e-01 -7.20993206e-02 -8.00349563e-03 1.52197191e-02 -1.58400889e-02 8.01798850e-02 1.92722201e-01 1.00756213e-01 -4.93171811e-03 -3.62869427e-02 -5.82925091e-03 4.76137223e-03 -1.55581802e-01 3.81591171e-03 -7.78303295e-03 -7.59014711e-02 7.26408660e-02 -5.86393811e-02 6.88284985e-04] [-5.83855882e-02 2.16023818e-01 2.59434395e-02 2.32698862e-02 -1.55568942e-02 5.77447750e-02 -1.12261832e-01 -8.37394502e-03 -5.19189611e-03 -6.63436577e-03 -1.86062053e-01 -9.26477276e-03 1.95159316e-02 -1.57145888e-01 9.07102898e-02 -8.17263499e-02 1.07153011e-02 1.81144685e-01 -1.15149565e-01 -1.30112497e-02 1.53665185e-01 -2.35275808e-03 8.33397657e-02 1.03011973e-01 1.52578391e-02 1.15651128e-04 5.88555867e-03 9.94166732e-03 -5.80226146e-02 2.02462673e-01 1.58915058e-01 4.30661961e-02 1.28707085e-02 -4.08003572e-03 -9.45460200e-02 2.30289698e-02 1.63836754e-03 1.93222404e-01 -5.38870809e-04 9.16665867e-02 1.88984379e-01 -5.36490930e-03 -8.04607931e-04 3.96379316e-03 -5.38622849e-02 -2.02268716e-02 1.00708693e-01 1.10157710e-02 2.37627327e-02 8.90859589e-03 9.69700888e-03 3.70449107e-03 1.45910447e-02 1.01153320e-02 7.46450806e-03 1.90561097e-02 1.37395054e-01 1.45247616e-02 -2.78069376e-04 -8.77167750e-03 1.78437233e-01 -7.66063482e-02 1.94711030e-01 3.88187077e-03 -1.15641244e-01 -6.95921779e-02 1.12685142e-04 1.05400555e-01 -9.75021441e-03 7.29360282e-02 -9.83645543e-02 8.23086500e-02 -5.91709046e-03 1.78998448e-02 3.61766084e-03 3.51967625e-02 9.18865129e-02 -1.19972624e-01 -4.00052988e-04 9.53950584e-02 5.31393941e-03 -4.00000485e-03 2.43360475e-02 -1.11326715e-02 -1.99073866e-01 -7.79641569e-02 2.60905386e-03 1.62711423e-02 -1.76210038e-03 7.05018044e-02 3.99852060e-02 -9.54267681e-02 -1.66175049e-03 7.96057191e-03 -1.12731894e-02 1.52753621e-01 1.59478426e-01 -1.73393503e-01 5.15156751e-03 8.78156945e-02 1.00767113e-01 -1.18631974e-01 1.78160653e-01 1.26195937e-01 6.12068083e-03 3.07260863e-02 2.02907622e-01 -2.30115261e-02 3.15638399e-03 -1.43337026e-01 1.23356827e-01 1.31397516e-01 2.37667002e-02 2.54094061e-02 -3.90407890e-02 2.22061485e-01 1.26838252e-01 -7.78523693e-03 -6.75421953e-02 -1.04700522e-02 -1.23992758e-02 -5.17206602e-02 1.99465957e-02 -2.63240840e-02 -1.27171457e-01 -4.21694443e-02 -2.79476270e-02 -1.65363606e-02] Cos Similarity tf.Tensor(0.2773782, shape=(), dtype=float32) (128,) (128,) [-0.11649575 0.19133626 0.06059314 -0.05451369 0.01324882 0.02409979 0.16193847 -0.04507428 0.0454079 0.04630955 0.05728903 0.14049344 0.01307668 -0.1543196 -0.04950203 0.06247497 0.11690387 0.04555273 -0.04591864 0.07670869 0.00979535 0.00976358 -0.0169441 0.02122071 0.09772983 0.02635113 -0.03397822 0.01379575 0.08950306 0.05513714 0.04913255 0.00101818 0.06437527 0.08883231 0.13477558 0.01185051 0.08268534 -0.01835319 -0.04969471 0.13446799 0.00833043 0.01874142 0.04088984 0.06263522 -0.20198582 0.01585108 0.01037416 0.07530854 0.09927546 0.05996285 0.0667772 0.00676137 0.17419256 0.05730856 0.18139099 0.03433683 -0.0042616 -0.04001051 0.08075701 0.08773862 -0.0188652 -0.11446673 0.1989013 0.04946543 -0.0355259 0.08332375 0.05513908 -0.00663755 0.11989031 0.10892116 -0.12650378 0.05998442 0.01111548 0.02575098 0.02785817 0.08079639 0.1722122 0.03349563 0.00177217 -0.21542324 0.10484876 0.000781 0.06481003 -0.11844233 -0.06277822 0.16720875 -0.09312464 0.05515269 0.09424525 0.01106983 0.03229165 0.03261786 0.05860083 0.06999878 0.04644388 0.09034514 -0.16612482 -0.03729917 0.05638593 -0.06165792 0.03518643 0.02018994 -0.00667257 -0.09898851 0.10538214 0.04728114 -0.0430301 0.02964272 0.20088929 0.06655371 -0.09719625 -0.00684209 0.0914328 -0.08717236 0.02834502 0.23452733 -0.03896538 0.05174145 -0.00342957 0.15521099 0.04141927 0.11491172 0.17758752 0.00784342 -0.17146555 0.0003867 -0.01077411 0.00893848] [-0.09140281 -0.14228386 0.08793702 -0.15063675 -0.00073649 -0.00289583 -0.18839493 0.12159324 0.02091824 0.00676991 0.05576678 0.06404948 0.00497924 -0.05556652 0.16005994 0.21575539 0.03270538 0.21548276 -0.11414661 -0.02745615 -0.10708994 0.00653976 -0.08536315 -0.05213065 -0.0129213 0.01702139 -0.20220564 0.01418483 0.14933655 -0.06175328 0.09405258 -0.20858057 -0.05432355 0.05169902 -0.00963036 -0.02059285 0.01075462 -0.06626849 -0.07398686 -0.09299984 0.17217942 0.00234698 0.00429875 -0.01565615 0.06632248 0.03239102 0.01214462 0.05350345 0.03205269 0.02709702 0.00952013 -0.00401188 0.05458041 0.02514063 0.0661026 0.05841415 0.02226339 -0.00859152 0.02417444 0.01718874 -0.09864469 -0.16752286 0.09762735 0.00112486 -0.13304232 -0.18134536 0.01665866 -0.10011902 0.03004505 0.12888025 0.00033281 0.03713137 0.00885503 0.07528179 -0.00204332 0.06834772 0.1898662 -0.05217642 -0.03342155 -0.19838294 0.0284772 -0.00504544 0.01188683 0.014082 -0.1434068 0.16941182 -0.09790243 0.01432105 -0.00027562 0.02635522 0.06569964 0.01857286 0.02202414 0.04049303 -0.00624725 -0.10160677 0.06896394 0.04805917 0.01189834 -0.09557286 0.05627752 -0.15938196 -0.20789653 0.20196337 0.01990258 0.03771913 0.03401725 0.02303466 0.04451335 -0.00845673 -0.01175745 -0.01833292 0.00502448 0.0464585 -0.01116431 0.0139205 -0.19373001 0.04626527 0.13395041 -0.04716378 0.0180068 -0.10555808 0.06602655 -0.00322311 -0.08685473 -0.05924378 0.08949888 -0.00097996] Cos Similarity tf.Tensor(0.22573152, shape=(), dtype=float32) (128,) (128,) [-0.01576351 0.01210678 -0.1392475 0.02176605 -0.02409192 -0.17436734 -0.00574614 -0.20426017 0.0035141 -0.0053619 -0.03353593 -0.01227501 -0.004285 -0.0826349 0.00489676 -0.19123653 -0.0143514 -0.1905206 0.1529296 -0.22940853 0.02035947 0.07838512 0.02658088 0.10357015 0.00665398 0.00172129 -0.09558517 -0.01460633 -0.1396255 0.14864534 0.16080569 -0.04088312 0.00575639 -0.02632166 0.04657169 -0.01557449 0.0038287 -0.13602732 0.0013676 -0.07694875 -0.06160918 0.00826018 -0.00910794 -0.01538899 0.10550358 0.07804941 0.16833904 -0.01902157 0.00518196 -0.0035997 0.00180665 0.00156744 -0.02771783 0.00551458 -0.01031896 0.00459244 -0.16380411 0.0083486 -0.00409714 0.00740806 0.02995791 -0.15335707 -0.01624442 -0.00462103 0.19011447 -0.14402382 -0.01647966 0.11006132 -0.02588119 -0.18351929 -0.14023966 -0.0060591 0.01048797 -0.00121562 -0.01412942 -0.00179062 -0.047751 -0.1209749 0.00218228 -0.07190778 -0.00710622 0.08524963 0.00399855 -0.20607688 0.20372203 -0.00724733 0.12536445 -0.00040585 -0.00969425 0.16085277 0.04700553 -0.00228689 -0.00755723 0.00633151 0.00406932 0.1726153 -0.17498957 -0.0280609 -0.01102424 -0.06897087 0.10350641 0.16033746 0.05453774 0.0312118 0.00668727 -0.01008488 -0.163217 0.03522879 -0.02090397 0.0917675 0.03413225 0.14215621 0.00453138 -0.05134277 0.0504188 -0.18085031 -0.12963456 0.00658348 0.00034461 0.00202528 0.00053883 0.0701322 0.01341108 0.00090676 0.02896133 0.04129054 0.1199261 -0.01696429] [-0.01827906 0.13169874 -0.1374236 0.06823519 -0.02453064 -0.1562564 0.08331311 -0.18395 0.00714123 -0.01141818 0.07437876 -0.01726247 -0.00767627 -0.13964985 0.02432184 -0.16513999 -0.00748414 0.07421888 0.09927893 -0.20493644 0.01678096 0.06300049 0.0219867 0.06473528 -0.00187775 0.00476342 -0.10807041 -0.00182793 -0.15723875 0.07349267 0.02201988 0.07443257 0.00188971 -0.02362924 -0.1296702 -0.01643889 -0.01390249 -0.05411771 0.00102538 -0.11111426 -0.19599156 0.00810896 -0.00117393 -0.00453887 0.04629435 0.09910654 0.15200521 0.00529301 0.00902316 0.00692641 0.00540268 -0.00216747 -0.02322261 0.00674507 -0.02069605 -0.00601559 0.07710715 0.00295888 0.00640958 0.00394875 -0.0398883 -0.13983434 -0.12220921 -0.00442144 0.18659045 -0.02747312 -0.01169876 0.15721142 -0.02788427 -0.17554012 -0.17230766 0.18701246 0.00398216 0.00451496 -0.00866314 0.00705016 -0.11067361 -0.10153902 -0.00221629 -0.17659657 -0.00142962 -0.0086887 0.02645585 -0.184728 0.16225302 0.00058433 0.04889317 0.00391512 -0.0097852 0.10233264 0.1352962 -0.05716543 0.00381874 0.00189736 0.00322774 0.16045892 -0.00343727 0.05351286 -0.01468302 -0.10820603 -0.00148423 0.18195033 0.18100409 -0.02272504 0.00397608 0.00086946 -0.10265096 0.01657411 -0.01131195 0.18116793 0.19096228 0.17722683 -0.00863931 -0.00130544 0.09618446 -0.10871074 -0.01085939 -0.00352918 0.03537778 -0.00154652 -0.00309025 -0.09238381 0.01591608 0.01123493 -0.13515739 0.015324 -0.00736861 -0.01774678] Cos Similarity tf.Tensor(0.7018713, shape=(), dtype=float32) (128,) (128,) [-8.74606892e-02 -1.06781073e-01 6.09766990e-02 -1.42240956e-01 -8.31770618e-03 -1.25475377e-02 -1.76365615e-03 1.08485453e-01 -1.42434165e-02 -2.61416077e-04 1.92225665e-01 2.67111720e-03 -1.26006519e-02 9.20501426e-02 -1.07988812e-01 -6.80826753e-02 -1.35463700e-02 8.91204774e-02 -1.58921510e-01 -9.69070941e-02 -1.72114417e-01 1.40596658e-01 -7.16917813e-02 -7.79820681e-02 -1.03291031e-02 -2.49271537e-03 5.59251346e-02 -1.10418573e-02 -1.11109227e-01 -6.08954951e-02 9.50891897e-02 8.49484652e-02 -7.13689486e-03 -2.56424285e-02 -1.59636572e-01 1.31011903e-02 6.03158446e-03 -1.65043339e-01 -1.65520702e-02 1.57632023e-01 1.60530180e-01 1.10510075e-02 -1.02673760e-02 7.77188037e-03 -1.39913887e-01 -1.10200837e-01 -1.34868994e-01 1.28148207e-02 5.88881411e-03 1.85848866e-02 -1.32392056e-03 6.84352173e-03 8.42021313e-03 3.28048039e-03 3.03915492e-03 1.70815326e-02 -1.90102458e-01 4.16705944e-03 7.52716931e-03 -5.33464830e-03 1.73048630e-01 1.61980405e-01 -1.51337683e-01 -1.80682298e-02 7.47282133e-02 1.83513746e-01 -3.25844996e-03 8.30630139e-02 -3.59173887e-03 1.93018124e-01 2.05984131e-01 1.32968456e-01 -2.84917955e-03 1.13811083e-02 -1.22057891e-03 -7.12974882e-03 -1.85914397e-01 -7.98375309e-02 -6.44104928e-03 4.72745225e-02 -1.25686042e-02 -1.89030245e-02 -2.57194024e-02 -1.52567998e-01 -1.14015214e-01 -4.62677330e-02 -1.60821721e-01 1.57199856e-02 -8.79460014e-03 1.45331308e-01 -5.35239950e-02 1.27065733e-01 1.64738976e-05 -5.14688203e-03 1.63318042e-03 -1.57532543e-01 1.12991564e-01 -1.12618409e-01 6.08975068e-03 -6.20898269e-02 -1.09333299e-01 1.29896075e-01 1.16244853e-01 6.22627661e-02 8.05695355e-03 1.32449213e-02 2.65651848e-02 -5.58133377e-03 -5.80140483e-03 7.30842203e-02 1.08161859e-01 2.74545178e-02 -1.14063350e-02 -1.11729950e-01 5.29032759e-02 -1.54822901e-01 -1.15043513e-01 -4.50759381e-03 3.36661674e-02 6.39104238e-03 -1.08991507e-02 -3.10664587e-02 1.40775181e-02 -9.47675481e-03 7.07882121e-02 1.45408977e-02 -2.59010447e-03 5.64908842e-05] [-0.00532021 0.10600586 0.08650402 0.08807772 -0.00812984 -0.07188661 0.12304614 0.08836149 0.00838296 -0.00477537 -0.14661893 -0.00879321 0.01813601 -0.04534976 0.01062099 -0.0824668 0.02043739 0.04822869 0.19702677 -0.05734703 -0.0759585 -0.18109618 -0.13393344 -0.08784354 0.01390009 -0.0008391 -0.11311194 0.00514332 0.05095604 0.08348734 -0.16870548 -0.12455036 -0.02674429 0.00705044 0.1138237 0.03282361 0.02150644 -0.05723234 -0.03820403 0.08752191 0.0935279 -0.0072091 -0.00347649 -0.01160778 0.11748173 0.05790383 0.02264427 0.01134564 0.02494661 0.02045698 -0.00275478 0.00789964 0.01147658 0.00808675 0.02325898 0.02450763 -0.12560834 0.0013325 0.02725765 0.00592901 -0.1716552 -0.03335756 0.2020549 0.02503543 -0.18843414 -0.07815195 -0.00290877 0.13502406 0.01761267 -0.11210576 0.14309993 0.15056166 -0.00180766 0.01750432 0.0047352 0.02141688 0.00286585 -0.00486666 -0.01811807 0.0979914 -0.00211727 0.00123407 0.006842 0.00665075 -0.17011197 -0.156424 0.14995685 0.01012704 0.00093495 0.16348994 0.1744101 0.06662144 0.02164799 0.03054436 0.01695929 0.1103506 0.18092304 -0.18665513 0.00542934 0.07534114 0.10327581 -0.0462469 0.1428132 0.15130697 0.00080128 -0.02047455 0.18569967 -0.01865066 0.01993644 -0.15912332 -0.16876131 0.13034162 0.03195557 0.05998885 0.00988411 -0.1110824 0.16138494 -0.00533303 0.14177947 0.0149005 -0.00204339 -0.03169248 0.03139501 -0.01309206 -0.00876956 0.06261417 -0.09818605 -0.00565681] Cos Similarity tf.Tensor(-0.097952895, shape=(), dtype=float32) (128,) (128,) [ 1.55075446e-01 1.10316128e-01 5.85207269e-02 -3.44098397e-02 -5.42461453e-03 -1.30428806e-01 -1.74877629e-01 1.86303005e-01 -4.63496381e-03 1.84340135e-03 -1.91148952e-01 1.22249722e-02 1.47477128e-02 3.23433913e-02 3.84368189e-02 1.20920679e-02 -8.37099366e-03 -8.51898119e-02 -1.73466623e-01 -3.32439765e-02 -6.37015551e-02 3.81046943e-02 1.66334555e-01 -4.42880206e-02 1.11047179e-03 5.33641595e-03 -1.92134399e-02 -1.26398606e-02 1.88179135e-01 1.24578483e-01 4.31517512e-02 -9.60443020e-02 1.26724541e-02 3.36656277e-03 -1.22884676e-01 3.09507493e-02 -1.21088810e-02 9.55826715e-02 -1.69087257e-02 9.40470546e-02 -1.19279742e-01 1.38095086e-02 7.16277352e-03 -4.10314975e-03 1.25375941e-01 8.59706774e-02 2.87886001e-02 -2.07546186e-02 8.73194262e-03 8.95461533e-03 -3.69275431e-03 5.61650982e-03 8.03060550e-03 3.37342196e-03 4.21880558e-03 7.78826373e-03 1.59515161e-02 -5.97168272e-03 -1.27157499e-03 6.16651447e-03 -1.54029176e-01 1.43076092e-01 1.75463095e-01 3.20171565e-03 -5.22620939e-02 -5.16682975e-02 7.47753726e-03 -1.77665666e-01 -5.10441652e-03 1.79765239e-01 9.73761231e-02 1.47975218e-02 -3.95850511e-03 1.67787187e-02 -8.79369397e-03 1.48241026e-02 -3.77042331e-02 6.25431836e-02 -1.83052721e-03 1.98751077e-01 -2.99925487e-02 1.92323743e-04 -2.53447262e-03 1.77000463e-01 -9.12294164e-02 -9.39708110e-03 -1.03189237e-01 3.93802207e-03 -7.48847495e-04 -5.92607893e-02 -1.15017414e-01 1.81650579e-01 1.21398550e-02 -2.10080249e-03 2.28350735e-04 3.17661054e-02 -1.51308179e-01 1.42405510e-01 2.92369118e-03 1.41719535e-01 1.63269535e-01 1.93519220e-01 1.34313451e-02 2.71747895e-02 -2.53748987e-03 -3.89383058e-05 1.50158674e-01 -3.54610868e-02 -2.66300607e-03 -8.53592455e-02 -1.17752194e-01 -1.84789002e-01 -1.16864555e-02 1.91299304e-01 -7.93566033e-02 2.54184939e-03 -8.37769881e-02 -1.48559706e-02 1.83095589e-01 3.21597117e-03 -1.17918672e-02 -9.10688043e-02 1.73463661e-03 1.78092450e-03 1.49453804e-01 -5.52093796e-02 8.10645241e-03 3.18143237e-03] [ 0.14206056 0.0902111 0.07831112 -0.01897623 -0.00727778 -0.14124519 -0.16990484 0.19681336 -0.0146473 -0.00347334 -0.18565679 0.0045998 0.01295791 0.01878255 0.09288665 0.12246605 -0.00775668 0.00453476 -0.11352009 -0.01925936 0.02933391 0.01268798 0.18056591 -0.02128223 -0.01051395 0.00749092 -0.06357667 -0.01635005 0.20576149 0.08984649 0.07832406 -0.11819142 0.01155708 -0.00472433 -0.16834055 0.03005203 -0.01363555 0.07254353 -0.01598587 -0.01887635 -0.06576755 0.01871124 0.00965409 -0.00383031 0.16126066 -0.00069799 -0.00022362 -0.01606238 0.00677153 0.00854561 0.00038574 0.00589216 0.00368359 0.0032771 -0.00266664 0.00872405 0.02037278 -0.00597836 -0.00806943 0.00347618 -0.16989905 0.13942885 0.20949504 0.00356333 -0.10868055 -0.04725103 0.00404605 -0.1508578 -0.00557196 0.1336415 0.07165227 0.12355503 -0.00574854 0.01597323 -0.01359754 0.01277897 -0.04888983 0.09732622 -0.00207689 0.21720202 -0.03162467 -0.00066776 -0.00131888 0.15664989 -0.05352907 -0.04581079 -0.11892658 0.00544346 -0.0057413 -0.09826765 -0.07112473 0.19679362 0.012891 0.00058888 -0.00703242 0.00734071 -0.16967925 0.16302161 0.0039202 0.14087126 0.09914067 0.18912417 -0.04456725 -0.07990327 -0.00570751 -0.00616466 0.05849661 -0.01734952 -0.0074464 -0.10845093 -0.12416991 -0.15083797 -0.00796871 0.2121602 -0.07954541 -0.00372479 -0.10768983 -0.0208782 0.19810757 -0.00258218 -0.00711284 -0.10746551 -0.00520668 -0.00481748 0.07393743 -0.02735815 0.00578265 0.00446145] Cos Similarity tf.Tensor(0.929841, shape=(), dtype=float32) (128,) (128,) [-0.10321855 0.10985909 0.12127772 0.11999303 0.00589143 -0.02719155 -0.07762568 0.1330554 -0.0031097 -0.00689072 0.15852386 -0.00163809 0.01858032 0.14494385 0.04271344 -0.15248667 0.00319078 0.15568519 0.13515362 -0.14124028 0.0395651 -0.15675291 -0.10374632 0.13721234 0.02092339 0.02727167 0.08558281 0.02121743 0.12719943 -0.01888364 -0.05285902 -0.12502015 -0.00513246 0.0160658 -0.16798273 0.00795523 0.00773021 -0.08577779 -0.0112852 0.11154542 -0.10852601 -0.00354572 -0.00110585 -0.02230945 0.13795485 -0.16112533 0.00927848 0.01591225 0.00736892 0.03039616 0.00152871 0.01542465 0.01045324 0.00268138 0.00222443 0.01612936 0.07917973 -0.00731612 -0.00339048 0.0077559 -0.08086576 -0.13969734 0.10042942 0.01012877 -0.1606489 -0.14898624 -0.00053744 -0.0635037 0.0076848 0.0607684 0.02365821 -0.00441186 0.00223248 0.01791733 -0.00678436 -0.00908492 0.13753639 -0.1073676 -0.00192881 -0.1429106 -0.00409082 0.00035215 -0.00137949 0.05960664 -0.1102839 -0.00405507 0.15896742 0.00618015 -0.00319519 0.06083404 -0.15456244 0.13258956 0.01082463 0.0153257 0.01839921 -0.15560754 0.03555689 -0.17019099 0.00685435 0.10495322 0.16165806 -0.01006801 0.16760571 -0.11364172 0.00200069 -0.00190276 -0.17565028 0.00170023 0.00694103 -0.00779943 0.14129376 -0.11140329 0.02162765 0.16213061 0.07312854 -0.15129831 -0.1503241 0.0025162 -0.14618506 0.01651685 0.00055514 0.1616575 -0.00834197 -0.03054971 0.0290354 0.09478131 -0.1120555 -0.00700007] [-1.20159447e-01 1.09055020e-01 1.24530926e-01 1.16057701e-01 3.90745187e-03 -5.08354977e-03 -8.95546228e-02 1.37889385e-01 -3.06776422e-03 -6.95128320e-03 1.52383149e-01 -1.65229978e-03 1.83347240e-02 1.43586546e-01 4.32016514e-02 -1.60686418e-01 2.43844884e-03 1.55009821e-01 1.34425685e-01 -1.36758357e-01 3.13247442e-02 -1.54545650e-01 -9.97698084e-02 1.32159054e-01 2.25520842e-02 2.82317437e-02 8.89639258e-02 2.23077852e-02 1.17950067e-01 -1.84744112e-02 -3.57002802e-02 -1.27596900e-01 -5.42331627e-03 1.67169869e-02 -1.63396508e-01 5.51842432e-03 8.80162418e-03 -5.85160144e-02 -1.19415186e-02 1.19498901e-01 -9.60167572e-02 -4.81927162e-03 -9.35901888e-04 -2.40155142e-02 1.34364352e-01 -1.59063667e-01 8.65572169e-02 1.57140698e-02 8.45913775e-03 3.07893455e-02 1.44310633e-03 1.59686152e-02 1.08717391e-02 3.12816584e-03 4.86410037e-03 1.39589161e-02 8.57213959e-02 -7.97201786e-03 -3.50122293e-03 8.91411211e-03 -7.62866288e-02 -1.29783183e-01 9.51042473e-02 1.17047168e-02 -1.58005148e-01 -1.47255003e-01 -8.83530738e-05 -1.27679721e-01 5.26172668e-03 8.65220800e-02 3.98365781e-02 8.39541480e-03 4.22066636e-03 1.82209015e-02 -8.29431042e-03 -9.19773616e-03 1.36523932e-01 -9.70979631e-02 -2.97356397e-03 -1.40204042e-01 -6.04154402e-03 5.25434851e-04 -3.44084459e-04 7.40152448e-02 -1.07792802e-01 -3.86691745e-03 1.55223221e-01 4.59301332e-03 -3.58714932e-03 5.32755107e-02 -1.47568256e-01 1.29753321e-01 1.21765584e-02 1.38970474e-02 1.88211426e-02 -1.56509861e-01 3.04877367e-02 -1.71131015e-01 5.75172249e-03 1.10967435e-01 1.50398299e-01 -9.21910536e-03 1.65161759e-01 -4.27676402e-02 1.07148764e-04 -1.89615879e-03 -1.73586041e-01 1.69738382e-03 9.00575798e-03 -5.68473525e-03 1.47718996e-01 -1.08462900e-01 2.06337124e-02 1.56882271e-01 6.77687973e-02 -1.48062572e-01 -1.52461484e-01 1.99025357e-03 -1.47580951e-01 1.69123467e-02 4.03698441e-03 1.59073010e-01 -8.24575312e-03 -3.22630703e-02 -1.04361787e-01 1.03340872e-01 -1.13146313e-01 -8.31636973e-03] Cos Similarity tf.Tensor(0.9811171, shape=(), dtype=float32) (128,) (128,) [-0.1285 0.10939382 0.11435349 0.1552665 0.00688376 0.10844041 -0.05544264 0.14446658 -0.01034547 -0.00424205 0.01508344 -0.0038685 0.01892137 0.14707555 0.05784916 -0.15511945 0.0085231 0.15687989 0.15175551 -0.1545219 -0.0849026 -0.15837738 0.0101656 0.12923793 0.02276345 0.02789837 0.0609325 0.01958202 0.09897202 0.01941874 -0.11742073 -0.1448817 -0.00607526 0.00984471 -0.16045864 0.00035306 0.00472694 -0.07147291 -0.01491794 0.12835398 -0.04769392 -0.00346444 -0.00125933 -0.02041348 0.14800787 -0.17200787 0.01214662 0.01661764 0.01203589 0.03333332 0.0010917 0.01667497 0.01558858 0.00399352 0.00827097 0.01667904 0.09222344 -0.00402333 -0.00253412 0.00514803 -0.0606191 -0.09335113 0.09847023 0.01216252 -0.1706694 -0.15409008 0.00085478 0.02615407 0.01197741 0.06784629 0.00657056 -0.0075335 0.00255361 0.01988245 -0.00236937 -0.01085628 0.11811288 -0.06360428 -0.00139159 -0.13978006 -0.00579413 0.00042352 -0.00048233 0.06965294 -0.10992346 -0.00782814 0.16828768 0.00554053 -0.00242397 0.06199884 -0.16359614 0.14188294 0.01364744 0.01702838 0.02252691 -0.15393408 0.11983039 -0.17109717 0.00778195 0.12296132 0.16762325 -0.03584579 0.17242281 -0.02857203 0.00313563 -0.00387567 -0.1773527 -0.0006919 0.00439706 -0.00085144 0.15473872 -0.1162334 0.01975009 0.15934005 0.0104296 -0.15453228 -0.16145799 0.0035819 -0.00267285 0.01723694 0.00276089 0.17000663 -0.0080025 -0.03635939 -0.10812058 0.05449136 -0.12821528 -0.00383132] [-0.11225358 0.11018698 0.12271993 0.11869411 0.0030236 -0.00991266 -0.05978915 0.13422917 -0.00344384 -0.00603276 0.15640052 -0.0044872 0.0192992 0.14480606 0.04202491 -0.1588129 0.0033839 0.15583538 0.14170954 -0.13692772 0.03723245 -0.15823482 -0.08420488 0.1364622 0.02282544 0.02880285 0.08566359 0.02142381 0.12074692 -0.01901172 -0.04966197 -0.13191977 -0.00545695 0.01582176 -0.16890311 0.00718644 0.00773253 -0.08499967 -0.01150862 0.11468408 -0.08879288 -0.0016035 -0.00128585 -0.0252933 0.14108132 -0.16658254 0.01185997 0.01512635 0.00760247 0.03069708 0.00216581 0.01551341 0.00992097 0.00351 0.00174968 0.01436787 0.07717812 -0.00700667 -0.00377174 0.00795978 -0.08049275 -0.13645287 0.09652786 0.01020323 -0.14520524 -0.15106197 -0.00115244 -0.06432101 0.00670199 0.06199469 0.04190198 -0.01319363 0.00336009 0.01862745 -0.00683 -0.00897444 0.1385844 -0.10774387 -0.00182368 -0.14460762 -0.00583662 0.00036626 -0.00132794 0.07371745 -0.10878278 -0.00415346 0.15826704 0.00476804 -0.00468982 0.06128629 -0.15165323 0.13297524 0.01129526 0.01483106 0.01848281 -0.1549903 0.03558651 -0.17110503 0.00719559 0.1076682 0.16297299 -0.00880669 0.16921432 -0.11947916 -0.0005087 -0.00185285 -0.17718759 0.00130563 0.00677301 -0.00481533 0.15706022 -0.11281651 0.02090458 0.16307753 0.02443235 -0.15220067 -0.15154752 0.00153286 -0.14251861 0.01576715 0.00182853 0.16606462 -0.00828309 -0.02861821 0.02029754 0.09583316 -0.11615597 -0.00793585] Cos Similarity tf.Tensor(0.9297832, shape=(), dtype=float32) (128,) (128,) [-0.13292496 0.17186035 -0.04791104 -0.0124307 -0.01947213 -0.12349369 0.13279612 -0.16788523 0.00460098 -0.00745044 0.08708617 -0.02195968 0.01621964 -0.04204207 -0.01089844 0.04251088 -0.02212517 0.10806671 0.05244788 -0.03103358 0.05219067 0.13927914 0.13192026 -0.09140654 -0.00789646 0.00094298 -0.07010403 -0.03022712 0.19049665 -0.10534604 0.16222885 0.14651486 -0.01041175 -0.03645284 -0.13684748 -0.01389153 -0.0017437 -0.1465323 0.00488753 -0.02000889 0.12923339 0.00292107 0.00035627 0.01260873 -0.07678058 -0.13228472 -0.0124513 0.00036031 0.01076638 0.01285176 0.00658561 0.00075212 -0.02227351 0.00615594 -0.01167337 -0.00611211 -0.1389807 0.00162598 0.0056254 -0.01167476 -0.04733348 0.04242284 0.15537931 -0.01440977 0.11076695 -0.07416468 -0.01235516 0.11884352 -0.01807923 -0.09483021 0.10739221 0.11226801 -0.00123461 0.00272888 0.00376366 0.00739837 -0.06155536 0.04615054 0.00115526 0.13000126 -0.01790881 0.01473687 -0.01480235 -0.05447927 -0.09233941 0.03247224 0.15261431 0.00568816 -0.01114136 -0.18685059 0.1677499 -0.08122188 -0.01098219 0.00256886 -0.01745685 0.1720205 -0.18112497 0.13099813 -0.00550501 -0.11534916 -0.07173792 0.12542298 0.14244443 0.18039647 0.00027731 -0.01600963 0.17679904 -0.00612299 -0.01030421 0.144526 0.14680913 0.18336977 -0.00581405 -0.14859189 0.04661324 -0.01585753 -0.12907505 0.00369861 0.14367054 -0.01350622 -0.00088087 -0.12955531 0.01305226 -0.00842456 0.16744918 0.01321639 0.05649865 -0.01878983] [-9.51848477e-02 -1.42756840e-02 -4.15121391e-03 1.13288485e-01 1.71048623e-02 -1.12517096e-01 1.37791649e-01 8.80601443e-03 -2.27047666e-03 -8.01063050e-03 1.27106205e-01 -1.57650802e-02 -4.70699230e-03 8.54630694e-02 1.34161890e-01 4.07102592e-02 -1.81069486e-02 1.57693267e-01 1.25635177e-01 8.31044558e-03 -3.53426114e-02 1.03767782e-01 4.76332046e-02 -8.89906883e-02 -5.66314394e-03 -2.08678306e-03 -5.06360568e-02 -7.04327039e-03 1.82906687e-01 -2.77957208e-02 1.46031603e-01 1.95896193e-01 -5.55656524e-03 -2.60056593e-02 -1.08734153e-01 -1.67106520e-02 -9.43668280e-03 1.71835255e-02 4.02264018e-03 6.53651208e-02 1.34731278e-01 3.91496252e-03 1.68609418e-04 -5.21348976e-03 -6.70834109e-02 -1.86748505e-01 -3.43857929e-02 7.57244369e-03 1.06823873e-02 9.65398084e-03 5.31842373e-03 2.76565459e-03 -9.16985516e-03 8.25330708e-03 -3.06851021e-03 1.17567091e-04 -1.34002447e-01 8.55018757e-03 6.23608008e-03 -5.73898945e-03 -1.93216708e-02 -5.09436429e-02 1.46110430e-01 -1.15338236e-03 1.93690196e-01 -1.70248821e-01 -5.45840594e-05 4.32550162e-03 -3.34226270e-03 1.05647877e-01 1.36238888e-01 1.23792768e-01 2.63331749e-04 -5.46661252e-03 -8.14865343e-05 1.43811973e-02 -1.09592594e-01 6.20800927e-02 2.87785614e-03 6.11114986e-02 -7.96533190e-03 -1.87192170e-03 -1.10080875e-02 -1.17400900e-01 -1.22843357e-02 6.58897981e-02 3.74857299e-02 8.76383670e-03 -9.29600373e-03 -7.62608722e-02 1.88439816e-01 -7.33799934e-02 -1.62480623e-02 -2.57984013e-03 -1.94378127e-03 1.22260146e-01 -1.35866329e-01 1.29791528e-01 3.34485900e-03 -1.04708098e-01 1.83586314e-01 1.48421809e-01 1.81954473e-01 1.65052846e-01 -9.33957694e-04 -1.05694784e-02 1.81628600e-01 -3.52603104e-03 -8.94284528e-03 1.93112746e-01 1.73232555e-02 1.77526250e-01 9.16307140e-03 -1.52202591e-01 7.19870180e-02 -1.85001776e-01 -9.64161456e-02 -9.52578802e-03 1.92681864e-01 -7.46105518e-03 -3.91081721e-03 -1.61914229e-01 1.60195529e-02 -1.88947711e-02 9.62533876e-02 8.52940977e-03 -1.56266405e-03 -5.96908154e-04] Cos Similarity tf.Tensor(0.7694063, shape=(), dtype=float32) (128,) (128,) [-0.0053104 -0.12447291 0.12970623 -0.13241656 0.02866952 0.06274969 -0.10309728 -0.00471461 -0.00200147 0.01106127 0.18841965 0.04065238 0.01551418 0.10421052 0.05714272 -0.07947811 0.02264996 0.1470706 0.07949839 0.07824663 -0.14603914 0.13183104 0.12562078 -0.08391139 -0.03232303 0.03273873 0.15689945 0.03112651 -0.20015475 -0.03761189 0.00586199 -0.04013198 -0.03975922 0.03443893 -0.08775973 0.03942703 0.02258506 0.07311877 -0.05074174 0.12845995 0.07583749 -0.00464361 0.00261158 0.04107456 0.17559706 -0.01212627 0.00720913 0.0171863 0.01903187 0.04133186 0.01881927 0.00960824 0.02052337 0.01370607 0.04123027 0.05239966 0.15618965 -0.01860075 0.02345946 0.01530268 -0.04663969 0.10037167 -0.09885126 0.0393432 -0.13517326 0.19486815 0.03026521 -0.03442552 0.027546 0.06988852 -0.08913206 -0.0899222 0.01482529 0.05360601 0.0153074 0.04023037 0.00327363 0.00164739 -0.00087863 0.15531614 0.00353697 -0.00511551 0.00926902 0.16999613 0.04141432 0.0748779 -0.09760829 0.03200823 0.01521275 -0.20803659 -0.04994519 -0.16900124 0.02620224 0.05106545 -0.01453029 0.19994631 0.02019763 -0.08657063 0.01511528 0.04039825 -0.10259085 -0.15071884 0.16611065 0.11636941 0.02455071 -0.0374812 0.00650523 -0.00285364 0.02664975 0.1605702 0.10694291 0.13873877 -0.00121534 -0.1846962 -0.07101753 -0.17352454 0.05008766 -0.02856472 0.17814477 -0.03064762 0.0393708 -0.1486083 0.00104142 0.01068408 0.14566094 -0.0285539 -0.09414705 0.00704767] [ 0.06357966 0.10537998 0.06890873 -0.13004442 0.01881452 -0.08206918 -0.07928174 -0.01379466 -0.0121681 0.01916843 -0.1827071 -0.02314595 0.00784228 -0.1638657 0.05754211 0.09073208 0.01349745 0.17493476 -0.06777204 -0.09383263 -0.15721697 0.03995126 0.06871538 -0.03390994 0.01232602 -0.00627566 -0.15365946 -0.00697866 0.05769894 0.16815896 -0.16904801 0.01125812 0.01175421 -0.00698826 0.05164547 0.04303622 0.02658605 0.14703639 0.00590264 -0.10957192 0.11308435 0.01165356 0.00613159 0.01361383 -0.06528506 0.06791694 0.1729466 0.01814714 0.02864427 0.03791505 0.01783762 0.00588452 0.04008913 0.0163635 0.01767441 0.02991867 -0.13935556 -0.03095001 0.01726956 0.02654644 -0.12565367 -0.10382724 -0.17274472 0.01833345 0.07734501 -0.11263917 0.00655975 -0.13064994 0.03135965 0.13016999 -0.13143837 0.19509707 0.00425369 0.02292812 0.02993775 0.04306108 -0.02593778 0.07184467 0.00249428 -0.16726352 0.00133054 -0.00630108 0.0117834 0.20302732 -0.00084521 0.1697893 -0.21211724 0.02284536 -0.00188316 -0.145652 0.09091114 -0.10602868 0.02853376 0.01724577 -0.01807857 0.152023 0.02641669 0.06280015 0.00669405 0.05147104 -0.09012962 0.15560469 -0.15421395 0.14589521 0.02718419 -0.01119732 0.11895801 0.02054316 0.04437272 -0.09637684 0.1656155 0.18514733 0.02664691 -0.1329279 -0.07543953 0.02220814 -0.06631229 0.0342952 0.05624108 -0.02301733 -0.00658451 0.0381666 0.01746922 0.02547204 -0.03494928 0.05057919 0.02127339 -0.01463259] Cos Similarity tf.Tensor(0.08176884, shape=(), dtype=float32) (128,) (128,) [-2.42117375e-01 1.77403346e-01 -7.85764278e-05 1.57699920e-02 -2.07280330e-02 -6.56767637e-02 9.56330299e-02 -2.21792519e-01 3.01405531e-03 2.11905991e-03 -1.18300490e-01 -1.01238331e-02 1.89126749e-02 -5.77898249e-02 -2.17909198e-02 -3.75316292e-02 2.79798498e-03 -3.15861627e-02 1.05498321e-01 1.34124339e-01 1.21722229e-01 -1.05816863e-01 4.56968583e-02 1.53884947e-01 -3.99281532e-02 3.34787508e-03 1.94667742e-01 -2.28524804e-02 1.48296937e-01 -9.77027602e-03 6.38846308e-02 2.16758773e-01 1.57704577e-03 3.13305017e-03 7.48856813e-02 3.84820923e-02 -4.77653276e-03 -1.48520097e-01 3.29456362e-03 -1.61920160e-01 -3.66141982e-02 -3.54968500e-03 -4.87633311e-04 -3.21798748e-03 -4.25067022e-02 -1.53875738e-01 -1.61761474e-02 -8.75353627e-03 8.53218976e-03 5.34452125e-03 1.40215652e-02 3.75154036e-06 -2.40825210e-02 9.18992097e-04 -8.23887903e-03 4.09671011e-05 6.08021440e-03 1.99685036e-03 1.79336837e-03 -3.87172960e-03 4.38910984e-02 9.66489166e-02 1.80230305e-01 -7.02916924e-03 2.96592508e-02 2.03789458e-01 -1.95121802e-02 -1.15162786e-02 -2.81661376e-02 -3.53954965e-03 -1.81079581e-01 -1.94875687e-01 -2.07656645e-03 -1.42110337e-03 -1.22642312e-02 4.83583985e-03 8.83957651e-03 2.03060165e-01 -4.80485288e-03 1.31203029e-02 -1.02226902e-02 7.91956708e-02 -1.22452574e-02 7.57502252e-03 -1.06230892e-01 -2.98226923e-02 -9.86333843e-03 -1.50844420e-03 -5.04794996e-03 1.05298474e-01 5.71502792e-03 -1.24462925e-01 -2.94515863e-02 8.96440726e-03 7.45777553e-03 -6.29885942e-02 -5.59457485e-03 8.47170427e-02 -5.94047643e-03 -1.54430062e-01 -5.76136932e-02 -1.28867224e-01 -1.30864412e-01 -1.44387456e-02 -2.88802423e-02 -2.02800184e-02 -3.62442695e-02 -1.03125088e-02 -9.00730677e-03 1.80162080e-02 2.04369307e-01 1.94956154e-01 -7.73688639e-03 -1.52994543e-01 -5.49946865e-03 1.39252488e-02 -2.09734455e-01 1.87707273e-03 -1.91674486e-01 -2.30435301e-02 4.49162489e-03 1.74061164e-01 7.79637229e-03 -1.50214862e-02 8.06097314e-02 1.57724451e-02 6.10923022e-02 -2.27364656e-02] [-3.01971108e-01 -6.34520594e-03 -1.16359033e-01 -7.85489567e-03 -2.62173899e-02 -2.65797395e-02 1.52763262e-01 2.60054823e-02 5.12087764e-03 -5.16023953e-03 -1.38403967e-01 -4.97278059e-03 -4.30471404e-03 -2.33725712e-01 4.29020040e-02 -5.80002703e-02 -1.88133158e-02 -9.78580713e-02 -1.80288963e-02 -2.51483731e-02 1.29660830e-01 -9.53414217e-02 5.76321706e-02 1.12618819e-01 -2.44272891e-02 2.58277776e-03 1.26567423e-01 -5.44153862e-02 2.20412225e-01 -4.28076694e-03 4.68266383e-02 1.41819149e-01 -3.66819510e-03 -1.11031095e-02 1.74726814e-01 2.92040538e-02 -1.03435162e-02 -2.21793473e-01 -6.87164720e-03 -1.63899273e-01 1.30278552e-02 4.21321485e-04 1.81407563e-03 -4.19830484e-03 -1.51058108e-01 1.09881714e-01 -7.15481630e-03 -1.87370870e-02 1.20127236e-03 6.56658690e-03 1.87753551e-02 4.36977576e-03 -6.19516661e-03 1.58269156e-03 -1.10966796e-02 6.45162398e-03 -2.42158193e-02 -1.62653998e-02 -5.06466208e-03 -3.21494811e-03 2.80187745e-02 5.83093800e-02 2.15085506e-01 -1.05520096e-02 2.99173892e-02 1.06842414e-01 -2.00552978e-02 -6.20605052e-03 -1.83668770e-02 -6.65502697e-02 -1.68190151e-01 -1.69763044e-01 3.62026342e-03 6.39110222e-04 -5.93386637e-03 3.91431386e-03 -1.99455593e-04 1.72628820e-01 -5.83758811e-04 -3.77407088e-03 -1.23901907e-02 1.98492438e-01 -2.46935152e-02 7.77289793e-02 -1.45704225e-01 -2.74990350e-02 -5.05896360e-02 1.23125678e-02 -1.03645260e-02 1.27628267e-01 3.52296345e-02 -1.19550377e-01 -3.68909612e-02 4.62288084e-03 -1.97875546e-03 1.56913567e-02 -5.80140064e-03 7.30272382e-02 -1.04970532e-02 -1.53204843e-01 -1.19048424e-01 -1.31012797e-01 -3.29231508e-02 -2.62598004e-02 -2.56967880e-02 -1.87787842e-02 1.88753591e-03 -1.07529406e-02 -3.03441770e-02 3.08785588e-02 2.06657231e-01 1.82887554e-01 -6.27551693e-04 1.39954155e-02 2.52184626e-02 8.00940543e-02 -1.24363706e-01 4.26939875e-03 -2.15599775e-01 -1.26548577e-02 1.38241788e-02 6.14137426e-02 1.77404135e-02 -1.47828404e-02 -6.73023984e-02 4.58418764e-03 1.49514019e-01 -3.39516513e-02] Cos Similarity tf.Tensor(0.76528883, shape=(), dtype=float32) (128,) (128,) [ 7.89491236e-02 1.63372103e-02 6.70665801e-02 -5.79946525e-02 3.40837031e-03 1.11163771e-02 1.03565626e-01 1.01266496e-01 2.19242834e-02 6.02173898e-03 4.08107555e-03 -3.41007439e-03 1.33020002e-02 1.03981858e-02 1.16629072e-01 -2.36671250e-02 4.60525596e-04 2.22691093e-02 -2.05484867e-01 1.85009852e-01 -1.01973727e-01 -1.65495694e-01 -6.16480969e-02 -2.13747919e-02 2.97497911e-03 1.20108863e-02 2.00224668e-01 -1.75660918e-03 -2.21329525e-01 3.28742377e-02 6.36464357e-02 -5.35964184e-02 2.92261168e-02 -9.93423164e-03 9.57137421e-02 1.18859177e-02 2.90930904e-02 2.09296346e-01 -2.58027446e-02 -6.05998449e-02 6.04268648e-02 1.01298969e-02 8.05860013e-03 2.28370242e-02 -1.99785843e-01 2.19595000e-01 4.97398674e-02 2.01927926e-02 9.21755936e-03 -6.30517304e-03 -4.36956558e-04 -1.10388792e-03 2.29869653e-02 6.71714591e-03 1.26809441e-02 1.12896804e-02 2.91332975e-02 -9.91232414e-03 -8.13486613e-03 9.28365719e-03 -4.78191860e-02 1.74568802e-01 -2.09318727e-01 1.42349806e-02 2.49365252e-02 1.91727981e-01 3.79056460e-03 1.21014223e-01 1.38729177e-02 1.49585409e-02 3.06430105e-02 -2.20172942e-01 1.14922877e-03 5.52364066e-03 7.80564547e-03 2.19816284e-04 1.33289825e-02 1.10904001e-01 1.15844896e-02 -7.38832057e-02 1.25912752e-03 -7.38774950e-04 -8.17633606e-03 1.04695864e-01 -1.97039515e-01 1.20652281e-01 5.28602153e-02 1.11139277e-02 1.31012294e-02 -1.40399009e-01 -1.15317099e-01 4.36841771e-02 -2.18857080e-03 9.09357425e-03 1.95640093e-03 1.53852537e-01 1.99871674e-01 -1.52232289e-01 -1.28474925e-02 8.31939876e-02 1.20142318e-01 -9.02557597e-02 -1.16785951e-01 -1.96521491e-01 8.16340651e-03 3.21225524e-02 -1.18275344e-01 -1.74819157e-02 1.12844687e-02 -1.23436689e-01 8.13225657e-02 -2.18992196e-02 1.85499061e-02 -4.82583512e-03 -7.87979737e-02 1.40266612e-01 -1.07912347e-01 -2.42819600e-02 1.32077187e-01 -2.32722634e-03 -1.10447286e-02 1.10980526e-01 2.46232413e-02 -1.41119361e-02 1.81533508e-02 1.93044804e-02 -2.88641248e-02 -3.68539069e-04] [-0.10343907 0.193483 0.04019348 0.108075 0.06443818 -0.02514197 -0.02758392 0.11948192 0.0014069 0.0090866 -0.20297782 -0.0037119 0.02896374 0.11975553 0.12702256 -0.03045844 0.04372563 -0.04525974 -0.05386671 0.01574693 -0.12842044 0.00631476 0.07098985 0.07631208 0.07075576 0.00814951 0.02558104 -0.00371309 -0.01756105 0.03655435 -0.10422973 -0.08390642 0.00749983 0.03695998 -0.01967651 0.01172002 0.07592767 0.1309533 -0.01155931 0.11312337 0.11934047 -0.00993811 0.00637974 -0.02348715 -0.17349263 0.10612349 0.02142961 0.01570926 0.02096213 0.02178211 0.00526647 0.01446049 0.03834097 0.01698972 -0.0091263 0.01919199 0.06991053 -0.02884658 -0.03017036 0.04132578 0.19882782 -0.12050126 -0.00222733 0.028015 -0.07090605 0.18073384 0.01023375 -0.03126414 0.02366088 -0.1796213 0.04601507 -0.16559547 0.00876249 0.00352835 0.03666947 -0.01158964 0.043939 0.06506768 -0.00950542 -0.0666073 -0.00307547 -0.01340764 0.0156035 -0.11462784 -0.175365 0.13785256 0.17970303 0.01039469 0.01265119 0.06300155 0.16278073 0.12955049 -0.00155207 0.02485329 -0.01680373 0.16459632 -0.12730837 0.00197754 0.01590022 0.17041144 0.18498456 -0.1515246 0.14509271 -0.129184 0.01757964 0.02271724 0.21536772 0.01031601 0.02453866 -0.16366467 0.1217283 -0.0310137 0.03595931 -0.1396539 -0.07831127 0.1295399 0.14913364 0.02297338 0.07747607 0.06878528 -0.01710453 0.08912787 -0.00876666 -0.00614458 -0.12495086 0.08579846 -0.00510882 0.00881252] Cos Similarity tf.Tensor(0.30343363, shape=(), dtype=float32) (128,) (128,) [-1.39443055e-01 7.75481015e-02 -8.55638161e-02 -1.28014442e-02 -4.97107860e-03 4.15399559e-02 1.08172119e-01 1.31901219e-01 -8.43372021e-04 7.73354084e-04 -2.01967180e-01 -2.56296783e-03 1.19372515e-03 1.74856018e-02 3.37089710e-02 -4.75908369e-02 -1.60421673e-02 -1.02505088e-01 1.88706309e-01 -1.93869099e-02 -4.57070582e-02 -1.35507181e-01 4.84252572e-02 -8.39744136e-03 4.49238811e-03 -2.49401986e-04 1.99131578e-01 -2.30889414e-02 1.03420138e-01 -8.89705643e-02 -2.17904225e-01 6.01795278e-02 -5.15965559e-03 -1.85075514e-02 8.07643011e-02 2.03257147e-02 -2.98760599e-03 -1.48254246e-01 -1.04369700e-03 -1.06274456e-01 1.19575836e-01 8.66565481e-03 -3.42432084e-03 -5.56703005e-03 -9.37353373e-02 1.10161364e-01 1.53240217e-02 -2.21404689e-03 -4.76619555e-03 1.52243795e-02 1.24958325e-02 9.46351979e-03 -9.01234336e-03 1.00633304e-03 -1.15957092e-02 9.17145610e-03 -1.57113910e-01 -1.31585160e-02 -2.31028046e-03 -9.98358708e-03 -8.66135731e-02 -1.45190850e-01 1.73961923e-01 -3.32049618e-04 -9.61978659e-02 -4.18203734e-02 -2.16665473e-02 -1.40479952e-01 3.79337900e-04 -4.86867590e-04 -1.61144678e-02 7.70426914e-02 4.12266329e-03 2.04197341e-03 3.47727281e-03 1.58112682e-03 -5.18050883e-03 -3.34283360e-03 -8.24537780e-03 1.70766965e-01 -2.15145200e-02 1.03109246e-02 1.27547665e-03 -1.36448920e-01 -1.65165395e-01 1.43531159e-01 1.05281398e-01 6.83910260e-03 -1.10110678e-02 2.00306028e-01 6.92378581e-02 1.45800382e-01 -7.02711695e-04 1.39770396e-02 8.21961657e-05 6.20669052e-02 -9.81069803e-02 -1.44799039e-01 -5.33840200e-03 -4.17121425e-02 -1.70169294e-01 1.65481612e-01 2.89957365e-03 1.99359551e-01 -3.34875216e-03 -1.66184772e-02 1.87614813e-01 6.95085851e-03 -6.43153721e-03 -2.17442349e-01 1.86123587e-02 1.66794971e-01 -3.36292014e-03 -1.21783212e-01 3.65150683e-02 1.41735673e-01 8.11714306e-02 -6.73912885e-03 1.46683082e-02 -1.00363204e-02 4.60747955e-03 1.65174991e-01 4.45961347e-03 -2.56962292e-02 -1.49138272e-01 4.05581407e-02 3.86300907e-02 -8.80789850e-03] [-0.13989015 0.11656483 -0.11470089 -0.06649987 0.00505857 0.00983019 0.08511539 0.07785874 0.00722139 -0.00410494 -0.21774645 -0.01333103 0.00118816 0.07790746 0.0704214 -0.0773504 -0.00577306 -0.06913199 0.04166513 0.01136809 0.02971468 0.02169194 0.06420439 -0.0826937 -0.03406999 0.0010733 0.14519028 -0.03048823 0.10033172 0.05311187 -0.22705191 0.12900631 -0.0127863 -0.01251476 0.0196013 0.00806899 -0.00233204 -0.07567174 0.00023891 -0.06395121 0.00453156 -0.00734036 -0.00776952 -0.00334116 0.13599731 0.14458957 0.01630953 -0.00825255 -0.00248708 0.01295263 0.00478281 0.00653209 -0.02047817 0.00200415 -0.00944098 0.00904746 -0.06051286 -0.01059502 -0.0102909 -0.01240803 0.10337402 -0.0224729 0.12707102 -0.00599602 -0.04858706 0.01157316 -0.01095596 0.12004721 -0.00206512 0.0002691 -0.1022459 -0.1983652 0.00057158 0.00322664 0.00266456 -0.00335424 0.14356382 0.14789793 -0.00236014 0.21941172 -0.02451373 0.04017283 0.0052354 0.14709185 -0.17175439 -0.0739824 0.15774792 0.00180667 -0.00402093 0.11246784 0.08733872 0.16503942 -0.02293314 0.00282585 0.00879678 0.17914128 -0.08373576 -0.12597956 -0.00672724 -0.03527316 -0.09332432 -0.03834391 0.15629135 0.12258597 -0.02100061 -0.0109733 0.18674764 -0.00992402 -0.02214264 -0.16175286 0.04537612 0.02050993 -0.00572242 -0.17504713 0.01469191 0.16489117 0.12573963 -0.01057194 0.19910431 -0.00470118 0.00494024 0.21790688 -0.00037836 -0.02034119 -0.17429733 0.03445907 0.10986356 -0.00601805] Cos Similarity tf.Tensor(0.62133336, shape=(), dtype=float32) (128,) (128,) [ 7.64192501e-03 9.96956527e-02 -1.32448092e-01 -5.08193523e-02 -7.21374713e-03 -2.16825418e-02 -2.80752443e-02 -2.31655046e-01 -1.15940638e-03 -1.98885286e-03 1.34788886e-01 -1.15135675e-02 2.35951599e-02 -1.35431796e-01 1.84802897e-02 3.80305909e-02 5.11405570e-03 4.30429392e-02 2.04788044e-01 1.10241838e-01 1.34064078e-01 -9.38832834e-02 -3.88463913e-03 8.09254199e-02 -2.55264323e-02 2.40124483e-03 1.32839844e-01 -3.01652122e-02 2.41116360e-01 -7.48948678e-02 1.31775558e-01 -1.97726250e-01 -3.96177871e-04 1.03078550e-02 1.17490582e-01 6.38161879e-03 7.30743352e-03 3.82705405e-02 -3.16311466e-03 -4.81661633e-02 -1.72798067e-01 -9.76017676e-03 -4.39215358e-03 2.52088737e-02 -1.74302682e-01 2.35019787e-03 -1.20763198e-01 -2.10082764e-03 1.35518033e-02 -6.64122775e-03 6.72089541e-03 -1.49214885e-03 -7.99528230e-03 4.82358830e-03 -2.32059304e-02 -6.48501934e-03 5.67034595e-02 -3.26213916e-03 1.57929282e-03 9.70305968e-03 6.22207187e-02 2.04854041e-01 2.12652460e-01 1.45273411e-03 1.01938367e-01 2.52084918e-02 -3.25642736e-03 -2.00984254e-02 -2.44062468e-02 1.21212892e-01 -7.88529590e-02 1.54294059e-01 1.79875770e-03 2.81621749e-03 -1.36602111e-02 8.37269798e-03 -2.43128166e-01 5.98828346e-02 3.20578460e-03 1.45943746e-01 1.49039971e-03 2.43505761e-02 -2.00651977e-02 1.46674231e-01 -1.19732700e-01 -1.43493125e-02 -1.48557305e-01 4.03539016e-04 -2.07334131e-04 1.04252264e-01 -6.89323470e-02 1.43629849e-01 2.01136037e-03 4.45503305e-04 -1.73289888e-02 1.64833665e-01 -1.92826837e-01 -1.03738017e-01 4.58222395e-03 1.92864195e-01 -3.33533883e-02 -6.89724311e-02 -1.37762070e-01 -8.92989635e-02 -9.99262091e-03 -8.16741306e-03 1.73450142e-01 3.40628065e-02 1.98960979e-03 -7.68717378e-02 3.49704456e-03 5.41673601e-02 -1.63048021e-02 -5.21067204e-03 -2.18017604e-02 4.74971943e-02 -7.56771564e-02 4.82706307e-03 -7.86184296e-02 -1.49955484e-03 1.16563134e-03 -9.21256915e-02 1.67299602e-02 -2.82116840e-03 -1.11758709e-01 -7.80462101e-03 -6.15823432e-04 -6.59251167e-03] [-0.04645307 0.02901855 -0.10785148 0.10825307 -0.01039457 0.10195528 -0.08380783 -0.19155705 0.00488599 -0.00609598 0.12637572 -0.02614281 0.00529709 -0.17127849 -0.17209803 0.142311 -0.00918122 -0.1717002 -0.04975957 0.15675864 0.04275514 0.02094431 0.07355214 -0.01499796 0.01343551 0.00807546 -0.09395254 -0.02073758 0.16733603 -0.00685938 0.00487205 -0.05465733 -0.01176627 -0.03318544 -0.13879117 -0.00496024 -0.00496289 -0.19589622 0.00283269 -0.06944628 0.00941579 0.01208744 -0.01634018 0.01023995 -0.14328094 -0.14355077 -0.14969973 -0.02327666 -0.0026118 0.00380412 0.00605488 -0.00318331 -0.00766925 0.00088385 -0.00665432 -0.00582401 -0.01856205 -0.00207098 -0.01421772 -0.01381824 0.16064508 0.16205788 -0.15176155 -0.03851005 -0.12829709 -0.05774959 -0.01431657 0.11246929 -0.03671712 -0.21416806 0.13611464 -0.13421862 0.01407846 -0.00344779 -0.00975498 -0.00647054 -0.17127365 -0.04807198 0.00061136 -0.11124548 -0.01958312 -0.00414392 -0.05512024 -0.13203518 0.0804261 -0.1345573 -0.18516272 0.00633078 -0.01101126 -0.06473833 -0.11012779 0.14562629 -0.04179714 0.0035411 -0.01232162 -0.0748458 -0.00257938 0.18265627 0.00346777 -0.10915218 -0.04294793 0.04367875 0.19035278 0.12733424 -0.01806653 -0.01680793 0.17102005 0.02427567 -0.02598464 0.09358783 0.06092908 -0.01492803 -0.02892592 -0.00841263 0.10515212 -0.1238603 0.05368542 0.01974957 0.07752377 -0.00434662 -0.00282747 -0.08935592 -0.00168185 -0.01318051 0.16570126 0.04835161 -0.08250183 -0.00424995] Cos Similarity tf.Tensor(0.047597423, shape=(), dtype=float32) (128,) (128,) [-0.13214278 0.06788129 -0.0156345 -0.13987158 -0.01284291 -0.0057804 -0.11087769 -0.21429881 0.00374992 -0.0004437 0.07458811 -0.01574597 0.00323476 -0.12997355 0.15455674 0.03100332 -0.00109083 -0.10918868 -0.06692468 -0.06707966 0.19443905 -0.14017384 0.1043176 -0.06834487 0.03261459 0.00637922 0.09865034 -0.03919544 -0.0329025 0.2246624 -0.09179284 0.05624117 0.02730584 -0.01409784 0.14419045 0.00460084 0.01339574 0.10278049 -0.01078459 -0.07202512 0.10125262 0.01073112 0.00565564 0.0260243 -0.18714458 -0.19144763 -0.01208367 0.00075524 0.02044567 0.00862815 0.0130988 -0.00415725 0.03356708 0.01339478 0.02921969 -0.00998377 -0.01284796 -0.01045722 0.02436526 0.02799807 0.02005446 0.07275814 0.0512506 -0.00599485 0.06323299 -0.17884922 -0.01122799 -0.15680161 0.00360608 0.0627518 -0.20263153 0.09899817 0.00314205 -0.00030681 0.01222955 0.00711161 -0.05706912 0.0707283 -0.00218369 -0.14034534 0.01426008 -0.00047751 -0.00636524 -0.09554803 0.05152701 -0.0539097 -0.00502604 0.01007055 0.01674726 0.10676299 -0.09322062 0.03923061 -0.00393873 0.00193355 0.00935344 0.11355549 0.08428321 0.02203364 0.00428438 -0.18549055 0.0782005 -0.11781745 0.12770022 -0.19888029 0.01471823 0.00463633 0.22858123 0.04554199 0.0104703 0.06242758 0.17106551 0.21272376 0.01140971 0.08576397 0.02037448 -0.13620974 -0.15085775 0.00183228 0.1454554 0.03149138 0.01033081 -0.02997299 0.05122012 -0.00264734 0.11346118 0.04978216 0.1170597 -0.01965086] [ 1.06199853e-01 -8.76127183e-02 -1.06222359e-02 -1.15412161e-01 -3.21289562e-02 -2.38119643e-02 1.38859317e-01 -1.31446823e-01 1.48565636e-03 4.99848742e-03 1.05140366e-01 -1.48704285e-02 7.54628330e-03 -1.04243770e-01 3.45654301e-02 -2.09752366e-01 -2.95147509e-03 -2.35526785e-02 1.75295472e-01 -5.68498038e-02 1.30670696e-01 1.84497684e-01 -8.36495236e-02 7.58722797e-02 -2.77930479e-02 1.03964293e-02 -1.30041316e-01 6.61774119e-03 -1.36437491e-01 6.68967217e-02 -1.37147948e-01 4.49025519e-02 1.62518378e-02 1.76981688e-02 1.43645078e-01 -8.51725601e-03 -1.74257401e-02 1.28095433e-01 1.52895907e-02 4.98174410e-03 9.09554306e-03 2.89842812e-03 3.10553075e-03 1.58572588e-02 4.53624055e-02 -2.07325682e-01 1.47814617e-01 -1.10388326e-03 1.09740328e-02 -9.10216768e-04 1.29254879e-02 -6.70017488e-03 -1.24612208e-02 9.15561430e-03 -1.08469985e-02 1.03474024e-03 2.11932346e-01 -1.20685827e-02 1.49430232e-02 -1.82142071e-02 3.71716805e-02 -9.26739350e-02 -4.83653955e-02 -1.84758641e-02 4.46133353e-02 -1.60466015e-01 -1.68031864e-02 -3.17945099e-03 -2.19404958e-02 -7.87177011e-02 -1.07641451e-01 -2.03646272e-01 1.16779134e-02 -4.47749719e-03 -2.74964143e-02 1.49086127e-02 5.20431250e-02 1.28299683e-01 -1.02878259e-02 -1.26505613e-01 7.41284806e-03 5.93543472e-03 6.67858263e-03 1.30536363e-01 4.98079397e-02 5.40101007e-02 1.30115911e-01 6.86123222e-03 -2.94751837e-03 1.22698724e-01 1.87986538e-01 -1.47932231e-01 -3.52682313e-03 1.63889825e-02 -8.53133388e-03 1.95971534e-01 2.53906883e-02 -2.56172657e-01 -3.66794318e-03 1.42455297e-02 -8.93712789e-02 1.65322435e-03 2.04189420e-02 -7.25750551e-02 -2.46492047e-02 -1.21002626e-02 -1.02690011e-01 -1.25735754e-03 1.92893611e-04 2.00346291e-01 -1.99111979e-02 -4.79222909e-02 -2.01361980e-02 -1.41491324e-01 -4.22328822e-02 1.27706945e-01 1.38265062e-02 -1.80492969e-03 -2.40139067e-01 -2.13378072e-02 1.43367040e-03 9.31189135e-02 8.93640984e-03 1.37696946e-02 1.46754608e-01 1.60569884e-02 -2.55349856e-02 -1.19742081e-02] Cos Similarity tf.Tensor(0.05770988, shape=(), dtype=float32) (128,) (128,) [-1.26415923e-01 -1.34373039e-01 -5.69515862e-02 1.13776974e-01 -2.78345402e-02 3.66997123e-02 3.89357917e-02 -1.87734798e-01 -2.74507841e-03 -1.83347589e-03 -2.05726713e-01 -2.28464231e-02 2.21866881e-03 -1.02023184e-01 -2.19588708e-02 -7.62994587e-02 1.50675448e-02 -1.00775724e-02 1.69390127e-01 1.43877640e-01 1.48610428e-01 -1.51533812e-01 1.57509610e-01 7.80237913e-02 2.95217382e-03 2.66247056e-03 -9.80234370e-02 -3.09258476e-02 1.22173846e-01 1.51699081e-01 -1.95156902e-01 1.08297661e-01 2.17973515e-02 9.04140342e-03 -3.50829586e-03 1.46697834e-03 2.33880314e-03 4.95903827e-02 1.39104109e-03 -8.42853561e-02 1.11410804e-01 -2.91533908e-03 -1.61615033e-02 1.17914043e-02 -1.11091740e-01 2.03309312e-01 1.17818117e-01 1.95469745e-02 1.30143464e-02 1.73416901e-02 4.61728219e-03 1.43211102e-03 -8.74744914e-03 9.46203340e-03 -8.72643292e-03 2.93961749e-03 7.87726697e-03 6.22575730e-03 4.32030391e-03 -1.93494279e-02 2.65592597e-02 -1.30485952e-01 1.85335115e-01 5.57433907e-03 -1.64448321e-02 -1.11618243e-01 -9.50740278e-03 1.37249514e-01 -5.68101136e-03 -4.32956889e-02 2.88066957e-02 -1.34437919e-01 -4.12249612e-03 3.51004396e-03 -1.20321233e-02 1.67797394e-02 1.60551280e-01 -4.21691462e-02 -3.17410682e-03 1.20109809e-03 -5.70346368e-03 7.19506352e-04 1.69807803e-02 -3.13345455e-02 -1.42947480e-01 1.61161616e-01 -3.16265747e-02 5.24571072e-03 -1.02145262e-02 1.13855742e-01 1.61491528e-01 1.07853226e-01 -5.97472023e-03 3.43777216e-03 3.19017190e-03 1.93901151e-01 9.43232924e-02 -1.18164144e-01 -5.96198672e-03 -8.48150440e-03 1.88089699e-01 -1.83526069e-01 1.37638941e-01 5.32526150e-02 -1.32065928e-02 6.42310083e-03 2.15664893e-01 3.46344672e-02 1.63472898e-04 -1.39204860e-01 -1.24641709e-01 1.41666094e-02 -1.39111897e-03 1.25902921e-01 1.33807666e-03 1.48873776e-01 7.87732899e-02 -8.69849697e-03 1.27362922e-01 -1.54951839e-02 7.53785390e-03 4.90434617e-02 2.43644807e-02 -1.96730196e-02 2.27579325e-02 3.76263224e-02 -4.90129106e-02 -3.88430478e-03] [ 0.02022171 0.18829918 0.03647208 -0.07856721 -0.00649982 -0.01479353 0.16416033 0.07099039 0.00848765 -0.01423513 0.07511926 -0.01021823 0.00304865 0.20650023 0.0248244 -0.14715834 -0.02879136 0.07534069 0.1495411 -0.11353965 -0.23404147 0.20567398 -0.12872413 0.01532625 -0.02908759 0.00871817 -0.05730336 -0.01923984 0.0118696 -0.07444552 0.04341049 -0.17589118 -0.01182413 -0.05076446 -0.21752396 -0.05698356 0.00824759 0.03124925 -0.00116126 0.04307448 -0.18075544 -0.00600452 -0.00318134 -0.00277907 0.04232966 -0.10446374 -0.01270946 -0.02676828 -0.00148221 -0.00161536 0.00355743 0.00551796 -0.0059359 0.00686263 0.01193407 0.00516856 -0.0499691 -0.00658181 -0.00499236 -0.01225927 0.18136585 0.2107102 -0.02826401 -0.01504924 0.10881837 -0.05148381 -0.00526427 0.1371912 -0.01530046 0.03061601 0.13871057 -0.17388485 -0.00244575 0.00617798 -0.00484185 0.0051574 0.00196978 0.09159204 -0.00417749 0.15790056 -0.02124974 -0.00889707 -0.00312828 0.01598591 0.00750706 -0.15304504 -0.22663796 0.01375747 -0.01428277 -0.07570141 0.06990191 -0.07358094 -0.0302231 0.00719835 -0.00580814 0.16610967 0.03101949 0.18508242 -0.00187329 -0.04182728 -0.07727706 -0.07967165 -0.16803722 0.12847848 -0.00944657 0.00337477 0.01171189 0.00206991 -0.02268587 0.19837078 0.17836063 -0.04980885 -0.01756358 -0.10104077 0.01093199 -0.09666754 0.16251948 -0.00652688 -0.04667428 -0.01678591 0.00306495 0.0096931 0.00036966 -0.00522307 -0.1167953 0.03360602 0.02399772 -0.00040857] Cos Similarity tf.Tensor(-0.30889004, shape=(), dtype=float32) (128,) (128,) [ 0.03303618 0.00091396 -0.07844915 0.12989965 0.00706108 0.01652226 0.1155964 0.21359661 -0.00033859 0.00940459 0.08867928 0.00683548 0.00852984 0.08691714 0.05007659 -0.16490725 -0.00500261 0.19292681 0.14763516 0.0293792 0.06699034 0.06478427 0.05309325 -0.0276625 0.02890442 0.02469532 0.17128794 -0.01695027 0.1437845 0.0271292 -0.09101487 0.00694562 -0.03415445 0.01980468 -0.11463583 0.02414995 -0.00600877 -0.13135561 -0.00230068 0.05106696 0.12553132 0.02053471 0.00360763 -0.0039985 -0.24080157 -0.07679398 -0.00227096 0.00540402 -0.01163338 0.00764305 0.02271472 0.00420003 0.01233272 0.00338233 0.04431977 0.02294501 0.26776844 -0.01343105 -0.00623978 0.03259547 -0.23676145 0.0095038 -0.17784241 0.01323953 0.05479435 -0.12845127 -0.00147854 -0.03054033 0.00503616 -0.13081269 0.05073007 -0.05202321 0.03759816 0.03090648 0.01613338 -0.01223875 0.00661216 -0.14395487 0.00747074 -0.11219762 -0.0299041 0.01105453 -0.00595933 -0.14348835 -0.00262766 0.05588885 -0.19614565 0.00334489 -0.0033319 -0.00332071 0.03998348 -0.08700156 -0.01842832 0.01760974 0.01214398 -0.18158296 0.0270368 0.17531852 0.0004425 0.13245392 -0.13285597 0.0744692 0.20749561 -0.1205276 -0.00272 -0.00952636 0.13760735 0.00284207 0.00979483 0.08816294 0.04022953 -0.17240658 0.00239396 -0.14976415 0.01008131 -0.12524544 0.07097916 0.00527181 -0.17380905 0.00596745 0.00037258 0.00360911 0.04299363 -0.01736718 -0.05358731 0.02517328 0.07823824 -0.00158787] [-0.15245119 0.02409679 -0.07053205 0.03798805 -0.00547587 -0.00333976 0.18373555 0.25403938 -0.00110774 -0.00429767 -0.00536384 -0.01861038 -0.01074002 0.13492666 -0.03920802 -0.04974796 -0.01158463 0.16534792 0.10623169 -0.20486243 0.03566936 -0.02030864 0.00921952 -0.03712966 0.01816057 0.0033174 -0.0316083 -0.01553158 0.04844059 -0.01246532 0.03942622 -0.18455563 -0.01315999 -0.01540524 -0.06387248 -0.04683085 -0.00356863 0.00829508 -0.00833729 0.08701643 0.00654911 0.00909941 -0.00633263 -0.01700694 -0.18404627 -0.01800589 -0.17675906 -0.00752373 -0.00613686 0.00532203 0.00976773 0.01086085 -0.01338287 0.00060754 -0.0073561 0.00106524 0.22698462 -0.01469707 -0.00800831 -0.0017029 -0.25324103 0.10077793 -0.16802049 -0.00743795 0.15234649 -0.09012472 -0.01486338 0.01346718 -0.00500239 -0.21397746 0.10847248 0.02264904 0.01221916 0.00410395 0.00164791 -0.01446275 -0.00086172 -0.1767598 0.00919642 -0.23462705 -0.02125802 0.06955695 -0.0131697 -0.0213412 0.02476391 0.1515154 0.11395311 0.0022553 -0.01251807 0.02678847 0.02855087 -0.16657111 -0.02013855 0.00177886 0.0060115 -0.14429832 0.08374984 0.0941818 -0.01552431 0.00895541 -0.21256089 0.08912795 0.15317379 0.12392445 -0.01006126 -0.01500973 0.04234955 -0.00758387 -0.00644661 0.01208453 0.1094849 -0.11639971 -0.00270062 -0.20298143 -0.00456623 0.03591182 -0.07150654 0.01343891 -0.17580251 -0.00327958 0.00551799 -0.02325582 -0.00142491 -0.02109236 0.06297749 0.01798862 0.00099325 -0.00399801] Cos Similarity tf.Tensor(0.6371639, shape=(), dtype=float32) (128,) (128,) [-0.13074405 -0.01610707 -0.01861107 0.13749735 -0.00887953 -0.08434432 -0.15709764 -0.01954286 -0.02191994 0.02796743 0.09773935 0.05963537 0.06136972 -0.08324708 0.08826867 0.16901642 0.05939776 0.17489345 0.14006452 -0.05112113 -0.07767655 0.1959692 -0.1589284 -0.03136206 0.02393068 0.0129053 0.18136014 0.02132657 -0.09006348 0.03154622 0.07023894 -0.02457728 0.06270669 0.02454673 0.17458488 0.01266317 0.02791074 -0.12671667 -0.07824329 0.05989207 0.14403796 0.02163513 0.01344257 0.01562495 -0.11436573 -0.0744415 -0.03734539 0.03042895 0.05140898 0.01148174 0.02117299 -0.00213129 0.06261005 0.0154413 0.08280847 0.02063229 -0.0298047 0.01071043 0.05292157 0.05135828 -0.07068449 0.03506691 0.18198074 0.0131171 0.06845773 -0.200805 0.0077456 0.06429596 0.048615 0.15266101 0.05465856 0.16696617 0.00880919 0.01111458 0.00655906 0.08653118 0.15680018 0.02335928 0.01108313 -0.01498879 0.03017211 0.00445779 0.00307364 0.14281875 -0.17414315 0.130025 0.1251916 0.05801168 0.00659393 -0.14010526 0.03998112 -0.20654826 0.05438233 0.0508472 0.05440063 -0.13909738 -0.0067269 -0.06471591 0.04318975 0.17589653 0.11117961 0.1571627 0.12739827 0.08953073 0.0433707 -0.04079914 -0.0970739 -0.00547165 0.06937411 -0.01553678 -0.07216587 0.08616439 0.03645668 -0.02057644 -0.02843343 0.13446182 -0.14615011 0.01880545 0.04553397 0.0467761 0.02705848 -0.04995201 0.08204585 0.00404445 0.13746318 0.07846234 0.00131068 -0.00385158] [-0.12215054 -0.10695778 0.0356654 0.16697091 0.03776393 -0.04812172 -0.19593456 -0.00178268 0.0031007 0.00426981 0.16852178 0.03247196 0.01885411 0.011507 0.07895635 0.12913643 0.01383201 0.143308 0.08153924 0.02907194 -0.15759076 0.08574618 -0.16107179 0.00079753 0.0113972 0.00254034 0.17309648 0.00610647 0.03774806 -0.04694768 0.12978514 0.05327053 0.01310623 0.00975173 0.20136721 0.00224617 0.02123912 -0.15616372 -0.02995825 0.03834648 0.16711918 0.01030262 0.00609004 0.00592969 -0.15965271 0.10394935 0.00297186 -0.00458354 0.01193101 0.00446814 -0.00256732 0.00358164 0.01399049 0.01304173 0.01442097 0.00770578 0.05094522 -0.0018515 0.02268312 0.00366003 -0.01738944 -0.05849427 0.18988958 0.00333741 0.08709961 -0.1879161 0.00652016 0.06923895 0.00335696 0.15464327 0.04350556 0.18693708 -0.00324315 0.01440783 0.01113417 0.0327429 0.18159698 0.14514615 0.00774168 0.05000711 0.01041811 0.00111978 -0.00900212 0.04865176 -0.06779981 0.18885083 0.05849602 0.01516106 0.00707707 -0.1712233 0.11554409 -0.18356997 0.02038354 0.01374082 0.01917845 -0.11150532 0.04266493 -0.06585477 0.01264408 -0.0398956 0.10052168 0.11739209 0.01966607 0.191261 0.0104541 -0.01919212 -0.11776847 -0.00269096 0.01420254 -0.0056846 -0.00817567 0.11631516 0.02663472 0.02326826 -0.00685729 0.15626675 -0.17707784 -0.00274358 0.11173728 0.00368603 0.01531341 -0.15882227 0.03766162 -0.01378428 0.18682554 0.02776981 -0.03727688 -0.00297337] Cos Similarity tf.Tensor(0.81949854, shape=(), dtype=float32) (128,) (128,) [-1.22124650e-01 -3.16712223e-02 1.30423978e-01 -6.41501993e-02 -4.59268922e-03 1.57020509e-03 1.92646623e-01 1.00307941e-01 1.03174299e-02 9.38185863e-03 8.15816522e-02 3.11870817e-02 1.56194279e-02 -1.06744505e-01 1.40678197e-01 -4.41076458e-02 9.18049645e-03 -5.03597483e-02 -2.88072992e-02 4.24284860e-02 -1.41518265e-01 5.73469065e-02 -1.25202313e-01 -1.11444362e-01 3.69998962e-02 1.73392836e-02 8.51590335e-02 -1.61479991e-02 -2.42044061e-01 -1.81722492e-01 -7.26622343e-02 -2.35356808e-01 2.56691407e-03 -1.13171330e-02 1.81370869e-01 -1.40130203e-02 8.36448930e-03 -4.78646420e-02 -3.18457931e-02 1.29310474e-01 2.79734861e-02 4.34210844e-04 7.08715525e-03 -9.49133746e-03 -1.20020695e-01 -1.36559308e-01 2.15906817e-02 1.24357520e-02 2.11515557e-02 5.32590784e-03 2.28089541e-02 5.53928455e-03 2.16111485e-02 2.93205376e-03 3.96337695e-02 1.26407752e-02 7.48907849e-02 6.19365601e-03 1.39211556e-02 3.11034247e-02 5.55725489e-03 -1.13060251e-01 -5.80889992e-02 1.82764162e-03 1.17988057e-01 -1.43570915e-01 -2.68715573e-03 1.53373748e-01 1.71272922e-02 2.52085626e-02 -1.21451087e-01 -2.25782886e-01 5.61763952e-03 -2.01593395e-02 1.33214379e-02 1.79322332e-03 4.43715937e-02 1.57025918e-01 -1.73260778e-04 -5.77166714e-02 1.75776836e-02 -2.67550442e-03 4.60221712e-03 3.95883061e-02 3.17315087e-02 -1.54344767e-01 -5.85251264e-02 2.16971599e-02 5.66991162e-04 -1.06345177e-01 1.05452038e-01 -1.65068612e-01 1.92457810e-02 1.99563988e-02 1.37784546e-02 -1.07621051e-01 3.89479138e-02 -9.35815498e-02 9.77040455e-03 9.17849615e-02 -1.97426334e-01 1.74264774e-01 1.27818421e-01 1.29263654e-01 -1.78621598e-02 1.80356372e-02 1.11032195e-01 1.10223955e-02 1.49123129e-02 -7.15705678e-02 -1.81896344e-01 8.58944505e-02 2.40075006e-03 5.92184700e-02 8.63336958e-03 -7.80843273e-02 1.43975303e-01 -9.33411706e-04 1.90232620e-01 -1.42218322e-02 1.20778615e-02 1.20263010e-01 4.28069159e-02 4.17796634e-02 -9.26114172e-02 4.44581024e-02 1.35749996e-01 -8.73441808e-03] [-0.18380603 0.00993942 0.00796698 -0.14178078 -0.03331235 0.11093976 -0.11488936 0.11059031 0.00589648 -0.0051006 -0.04354487 0.01027936 -0.01683106 -0.04334527 0.06180008 0.00939983 -0.01500664 0.09761489 0.05044314 -0.01726132 -0.22490402 -0.02124087 -0.04255513 0.01058711 -0.00622324 0.00590776 0.19158578 -0.06106728 0.16432329 0.10824965 -0.03350272 -0.16274013 -0.02500509 -0.02910447 0.18135323 0.04254911 -0.00093145 -0.02699091 -0.00509475 -0.14360543 0.03093986 -0.00079428 0.00466567 0.00695417 -0.20630625 0.17795758 0.18889987 -0.02373301 0.00220414 0.01042172 0.01234083 0.00241071 -0.00942561 0.00363137 -0.01260593 0.0025516 -0.03044131 -0.0218847 -0.00706329 -0.01492773 -0.12413875 -0.08091584 -0.12338506 -0.01787794 -0.18757384 -0.14104943 -0.01945024 0.20941725 -0.03524281 0.22267403 0.0083429 0.02178506 0.00405883 0.01116708 0.00025088 0.00554471 -0.06787466 -0.06910725 -0.00422992 -0.2102641 -0.00551947 -0.00385087 -0.00879184 0.00622232 -0.01244291 0.009453 -0.12469657 0.00470096 -0.02409158 -0.2017135 -0.11382027 -0.06544223 -0.01314961 0.00949516 -0.02661406 0.04507166 -0.00178491 0.02755149 -0.00733231 -0.04176789 -0.10392771 -0.01494954 -0.18982036 0.04025785 -0.01988519 -0.01872519 0.15542121 -0.01080152 -0.02716459 0.02612994 -0.1086017 0.17455532 -0.02422786 -0.17813666 0.0144272 -0.00517326 -0.16087203 -0.01010053 0.07689943 -0.01333679 0.00432947 0.02377367 0.01625365 0.00253518 -0.16452743 -0.04739094 0.14416333 -0.01835987] Cos Similarity tf.Tensor(0.1979909, shape=(), dtype=float32) (128,) (128,) [ 7.11997896e-02 -6.96642324e-02 6.88799545e-02 -1.71493039e-01 -2.75539327e-02 -2.08180770e-02 -5.32591343e-02 -1.86189394e-02 -3.96681903e-03 5.63278003e-03 -5.24014346e-02 9.99830756e-03 1.26740346e-02 -1.06569894e-01 1.25539050e-01 -4.06739302e-02 6.21958682e-03 -2.13152692e-02 3.26191410e-02 -6.08568676e-02 -6.86127171e-02 -6.75489753e-02 -1.22327827e-01 1.50696635e-01 1.08842561e-02 -3.61060840e-03 1.46530956e-01 -1.36876199e-03 1.00210920e-01 -9.51377898e-02 -1.69810101e-01 2.14116022e-01 8.54939129e-03 2.54205968e-02 4.12527621e-02 -2.16995575e-03 -1.80271138e-02 -4.00011204e-02 1.00776751e-03 -1.18644550e-01 -2.04250202e-01 -2.15542200e-03 7.06146704e-03 1.86285432e-02 2.60199723e-03 1.92041144e-01 4.31849658e-02 2.09076218e-02 1.39407851e-02 1.33885285e-02 1.02145094e-02 4.42173006e-03 9.49778943e-04 6.14242209e-03 -1.29334256e-02 7.06790015e-03 -9.97978300e-02 9.40209648e-05 7.42949545e-03 5.37099084e-03 1.17533334e-01 5.59939705e-02 6.68560714e-02 9.94921662e-04 -1.95149899e-01 4.64807935e-02 -4.81792260e-03 -1.50540605e-01 -2.46938574e-03 -1.18801609e-01 -1.13382757e-01 4.77799661e-02 6.07994292e-03 -5.60912071e-03 7.37719238e-03 9.87454318e-03 8.45808610e-02 -1.09404717e-02 -5.60843758e-03 -1.09948777e-01 4.39512497e-03 5.30486414e-03 -1.47549983e-03 3.17649618e-02 -2.29177460e-01 -1.02062032e-01 1.46553755e-01 8.28139484e-03 3.81812430e-03 -7.77781382e-02 -1.97656285e-02 1.86650112e-01 1.93699705e-03 1.57880299e-02 1.58983432e-02 2.05947459e-01 2.84121763e-02 -1.01628840e-01 -1.15016419e-02 1.85071006e-01 1.71609342e-01 -1.58303574e-01 1.28311142e-01 -5.85029274e-02 6.53479062e-03 6.46638777e-03 2.19630256e-01 1.21574020e-02 1.37082571e-02 -1.79709256e-01 -1.95739746e-01 9.96789709e-03 -4.32493584e-03 3.07431072e-03 5.44753186e-02 1.45623252e-01 -1.85851723e-01 -1.76389161e-02 1.13738231e-01 2.09780298e-02 4.71725594e-04 -1.49590347e-03 1.96332503e-02 -9.71932523e-03 -1.55861750e-01 -1.62791032e-02 -4.28456739e-02 -6.00589952e-03] [ 1.30938634e-01 -2.13651750e-02 7.55536407e-02 -8.95920172e-02 -1.92171596e-02 -1.30411694e-02 -1.68501392e-01 1.13001019e-02 -7.63348478e-04 -7.30929570e-03 -1.84998080e-01 -1.03854993e-02 -1.18206851e-02 1.21676870e-01 1.38985619e-01 -3.87665331e-02 -2.71799089e-03 9.12226066e-02 8.48602911e-04 -5.10059297e-02 -5.46318572e-03 -1.72374010e-01 1.31124154e-01 -6.87670261e-02 -6.66923728e-03 -5.69567841e-04 1.37618244e-01 -8.38183146e-03 2.17307135e-01 3.74955242e-03 -9.51374993e-02 1.98033452e-01 -4.58830548e-03 9.28268023e-03 6.41020760e-02 -3.10114847e-04 -2.83247326e-03 9.99772642e-03 -6.31963043e-03 1.14247359e-01 -2.40256805e-02 -1.39799500e-02 -3.94898059e-04 1.44576747e-02 3.42393927e-02 2.27137908e-01 -7.02619106e-02 1.10179652e-02 6.53046696e-03 1.53953889e-02 9.13091470e-03 5.92950126e-03 -4.41913866e-03 3.05674062e-03 3.19435517e-03 4.79011005e-03 -1.16486266e-01 4.43901867e-04 8.31479672e-03 -1.09429592e-02 7.26944730e-02 -3.45502943e-02 1.72589049e-01 -1.06236618e-02 -1.62775084e-01 1.44252852e-01 -7.53084151e-03 -8.99455398e-02 -9.93134803e-04 4.21136804e-02 1.63381100e-01 1.05211042e-01 -4.98754159e-03 1.36041073e-02 4.36073402e-04 1.21264216e-02 1.40953273e-01 8.25228766e-02 -2.12081545e-03 -1.38373271e-01 -1.28649864e-02 -1.98988039e-02 6.81845064e-04 -9.41225365e-02 -6.09882660e-02 -1.13233654e-02 8.45065191e-02 5.90099767e-03 -4.02681576e-03 1.28117409e-02 9.50529948e-02 1.26534984e-01 -1.05986195e-02 3.74516565e-03 1.82935692e-04 2.32613131e-01 1.11229688e-01 -1.71158224e-01 -5.96998585e-03 2.05940872e-01 -1.38425604e-01 3.32907140e-02 1.83680043e-01 2.19980761e-01 -4.55602910e-03 4.32201382e-03 6.40114397e-02 2.26866710e-03 -2.33835680e-03 4.75293137e-02 1.04578428e-01 1.78993329e-01 -1.43810132e-04 1.75264776e-02 8.66833888e-03 2.10063457e-01 -6.17132150e-02 -2.38171779e-02 1.40416622e-01 -6.67706691e-03 -7.47179030e-04 -6.14659823e-02 7.77855166e-05 -2.48561818e-02 3.85711379e-02 1.30015847e-04 -1.18119933e-01 -4.41410346e-03] Cos Similarity tf.Tensor(0.44688395, shape=(), dtype=float32) (128,) (128,) [-0.16185172 0.03503741 -0.02441683 -0.13691776 -0.00029822 0.08871923 0.1963747 0.1854558 -0.00876626 -0.00616114 -0.06304201 -0.00269052 -0.00494918 -0.12185523 0.03305573 0.08964253 -0.01715143 0.04795347 -0.15495557 0.02062827 0.05848428 -0.18199241 0.14772265 0.08453166 -0.00584224 0.00460562 0.1439037 -0.03887171 0.03312738 -0.15769468 -0.01152414 0.02281914 -0.0130933 -0.02060843 0.11123238 -0.01219507 -0.00196967 -0.01809701 -0.0034793 -0.13422464 0.18635195 -0.00306918 -0.01330103 -0.01873135 -0.01163234 0.19303863 0.15962937 -0.03184823 -0.00118676 0.00780702 0.01291017 0.0038605 -0.0192911 0.00427949 -0.01414166 0.00890796 0.06631654 -0.00431693 0.00188418 0.00207869 -0.1284909 0.12153282 -0.07832891 -0.00730942 0.02099586 -0.18389264 -0.00941333 -0.12709153 -0.00474592 -0.01065122 -0.00652969 0.1458023 0.00114787 0.0028834 0.00268939 0.01573279 0.01563987 0.13376658 -0.00095007 0.19245586 -0.01069017 -0.00199454 -0.02800118 -0.03996262 -0.11414681 0.16645043 -0.1508511 0.00816571 -0.01147841 -0.12135216 -0.1825982 0.06330391 -0.00663955 0.00966583 -0.01054753 0.09649823 0.10361358 -0.14404076 -0.00593897 -0.11813301 -0.02911195 -0.14419825 0.15255776 -0.16092083 -0.01887859 -0.0194755 0.03482064 0.00872179 -0.01820404 0.01280746 0.01768923 -0.12945598 -0.01353108 0.14006296 0.01168696 -0.18051958 0.1226005 -0.01516735 0.21615833 -0.0343301 -0.00117396 -0.02346346 0.01046388 -0.0062258 0.11139137 -0.00554271 0.09686773 -0.01188788] [-0.08409036 0.02152128 -0.04315001 -0.14031239 -0.00615173 -0.03341182 0.19129394 0.18262067 -0.00703357 -0.01273982 -0.17856903 -0.00533009 -0.01649534 -0.02783119 0.01854778 0.04160472 -0.01828721 0.07556531 0.02769759 -0.2124921 0.06349339 -0.0946268 0.15213616 0.05105229 -0.00661073 0.00275895 -0.05170341 -0.03775056 -0.15905939 0.14205883 0.17150423 0.03057022 -0.01738665 -0.02721872 0.20374602 -0.03579348 -0.0064059 0.04303947 -0.00378385 -0.17197037 0.14799349 -0.00857127 -0.01579318 -0.02491943 0.0629857 0.180875 0.12425057 -0.0193665 -0.00485207 0.00111539 0.01458944 0.00288817 -0.01816856 0.00388852 -0.00324464 0.01254147 -0.00077303 0.00358878 -0.00690293 -0.00789584 -0.04141926 -0.1796152 0.11330873 -0.02119168 -0.16515622 -0.20928301 -0.02521232 -0.00795635 -0.02499641 -0.00040489 -0.10836158 0.15852574 -0.00127898 0.00360822 -0.00857013 0.01502773 0.00871792 0.06246502 0.00243748 -0.12682825 -0.00748385 0.03004174 0.0002778 -0.07250271 0.01105351 0.01575542 -0.21744086 0.00783285 -0.02139528 0.1186787 -0.13054042 0.02555517 -0.00968676 0.00862328 -0.00841956 0.10712643 -0.04655779 -0.18213922 -0.01503144 -0.08074004 -0.09191404 -0.22384861 -0.0694423 0.13557866 -0.01803542 -0.00541515 0.05095433 0.02338651 -0.0244319 0.01409987 0.05943294 -0.22227967 -0.00824369 0.14004475 0.00406562 -0.14637709 0.11099735 -0.00996369 0.14255306 -0.03138781 -0.00065573 -0.02526598 0.01571009 -0.00915406 -0.09854678 0.01014672 0.02697525 -0.01018494] Cos Similarity tf.Tensor(0.48933482, shape=(), dtype=float32) (128,) (128,) [-7.88777992e-02 -7.36507997e-02 -5.13304695e-02 -1.21084876e-01 -1.04771843e-02 -1.56955868e-01 -8.00762624e-02 -2.31360551e-02 1.49537052e-03 3.29926028e-03 -3.69576141e-02 -2.79910453e-02 7.36429309e-03 1.09105982e-01 -1.10517547e-01 -1.41821593e-01 -2.07897816e-02 -1.42875597e-01 -4.21901559e-03 2.27327235e-02 1.12284370e-01 1.59914523e-01 -1.64790481e-01 1.02556035e-01 -8.51086155e-03 5.16250636e-03 2.05385089e-01 -1.78145003e-02 9.03545916e-02 -1.58069119e-01 -1.11327358e-01 1.57996248e-02 -1.59237406e-03 -1.97455268e-02 1.12232089e-01 5.57147563e-02 -2.21528788e-03 -2.24121705e-01 1.05068749e-02 -1.25409991e-01 1.55300647e-01 7.81238265e-03 -3.61914746e-03 -8.06159712e-03 1.12394556e-01 1.50276413e-02 -1.69593871e-01 -1.29734920e-02 9.14113072e-04 1.70621537e-02 8.45685322e-03 -1.23984960e-03 -1.73270740e-02 3.49024078e-03 -2.08670204e-03 -8.07202669e-05 1.87360984e-03 -3.39570013e-03 -1.09676260e-03 -7.42709497e-03 9.11989585e-02 1.40809044e-01 9.97749120e-02 -1.13227665e-02 3.92056629e-02 -1.58864465e-02 -1.66542027e-02 1.24844283e-01 -1.08163049e-02 -5.41675894e-04 -1.67952776e-01 -5.05265743e-02 -5.53724263e-03 2.34457082e-03 4.55244910e-03 7.37826485e-05 1.95030272e-01 -8.50011781e-02 1.40624808e-03 2.04549730e-01 -9.65455174e-03 -6.83302283e-02 6.42473437e-03 -3.03118695e-02 -1.99258886e-02 1.65796548e-01 1.29352257e-01 1.52097391e-02 -1.52206526e-03 -2.34678924e-01 1.84407562e-01 2.22998545e-01 -1.40571259e-02 2.60420400e-03 5.29206684e-03 -1.18706837e-01 1.14130531e-03 1.75872296e-01 -2.50969990e-03 -4.23622541e-02 1.27036115e-02 9.51066613e-02 -9.32511091e-02 -6.91536162e-03 -4.00658092e-03 -2.42300313e-02 1.41689330e-01 -1.63856181e-04 -1.15852859e-02 -8.03252086e-02 1.89053923e-01 7.44728744e-02 -2.58936197e-03 -7.11948797e-02 7.59483734e-03 1.95602551e-01 -5.57527170e-02 -1.65814366e-02 -3.77769247e-02 -1.66592263e-02 -3.74623179e-03 3.53639238e-02 3.31426784e-03 -2.32770965e-02 -1.02914758e-01 2.14326195e-02 8.46927334e-03 -6.34178240e-03] [-1.41270310e-02 -1.21383751e-02 7.76735991e-02 -5.59212267e-02 6.65045995e-03 -9.45577323e-02 -8.33304748e-02 7.37550110e-02 5.11163287e-03 5.73710306e-03 -6.28971457e-02 -1.74125005e-02 3.59062590e-02 4.86830585e-02 -1.08750418e-01 2.93004420e-03 7.72007275e-03 -1.52956888e-01 1.98675618e-02 1.13332868e-02 -1.21729285e-01 1.77572578e-01 -1.29019439e-01 1.19177140e-01 1.48722306e-02 4.13776143e-03 2.09368050e-01 -9.94300656e-03 -1.03854924e-01 -1.85894862e-01 -1.24797206e-02 -1.30372107e-01 -1.75176542e-02 6.00541104e-03 1.44692019e-01 4.80929911e-02 2.15200018e-02 -1.11357011e-01 -1.33078229e-05 -1.41021371e-01 1.22253142e-01 2.97074951e-03 -6.84885355e-03 3.27916327e-03 9.10872445e-02 -5.97236566e-02 -7.39194080e-03 -1.33375246e-02 1.40667930e-02 2.57126428e-02 1.56564116e-02 -1.09883910e-02 5.58956061e-03 7.90093094e-03 3.11052352e-02 1.17321601e-02 3.50728296e-02 -8.06493685e-03 9.70064476e-03 1.43641969e-02 5.13205826e-02 1.62042491e-02 6.07960112e-02 8.91925581e-03 4.28655744e-02 -1.39307424e-01 -1.99939217e-02 1.07333586e-01 -1.37790814e-02 -2.72646584e-02 -1.57972366e-01 -1.49897814e-01 -4.24335198e-03 3.14842090e-02 2.56802142e-03 1.89838987e-02 1.89690977e-01 1.61895514e-01 -1.17290230e-03 1.49322450e-01 1.65455490e-02 -5.57901058e-03 1.03197889e-02 -6.97511211e-02 1.41646430e-01 1.25211343e-01 1.53017910e-02 3.09939682e-02 1.26570780e-02 -2.17270330e-01 1.56261921e-01 2.21218333e-01 -9.05313715e-03 2.20338050e-02 2.17038710e-02 -1.47057727e-01 -1.86809018e-01 1.58169389e-01 1.00127957e-03 9.99048539e-03 -1.95007235e-01 1.48208573e-01 -1.15811691e-01 -1.44416690e-02 -7.76703656e-03 -2.62001194e-02 1.17555887e-01 -9.38670337e-03 3.33195087e-03 9.69213527e-03 -1.30835906e-01 9.83497500e-02 6.98491605e-03 9.07009840e-02 2.15270333e-02 2.02038407e-01 3.58648971e-02 -2.70872451e-02 -8.75846893e-02 -1.83497032e-03 -9.32134967e-03 1.90867528e-01 3.77389193e-02 -1.13522876e-02 -1.43777281e-01 -1.89900410e-03 3.26711535e-02 -9.34560318e-03] Cos Similarity tf.Tensor(0.6630936, shape=(), dtype=float32) (128,) (128,) [-7.88363814e-02 6.50461614e-02 -1.03558958e-01 1.63090467e-01 1.10415258e-02 1.15796536e-01 -2.01498240e-01 1.93280011e-01 -2.44323513e-03 -1.74254011e-02 -1.71410188e-01 -2.38174293e-02 -1.28099592e-02 1.91033691e-01 -9.65348678e-04 -6.53254688e-02 -1.77943874e-02 1.51642829e-01 7.40753263e-02 9.56108496e-02 -1.91840585e-02 -4.37876433e-02 1.63274273e-01 -2.95084901e-02 3.25031288e-04 -7.26606173e-04 -9.28182676e-02 -2.36084382e-03 2.85007451e-02 -1.57900482e-01 1.42698333e-01 -6.91018179e-02 -7.30936509e-03 -1.21217594e-02 1.11415774e-01 4.22178619e-02 -1.07782027e-02 7.54492655e-02 2.35472899e-03 -1.39433369e-01 7.05847144e-02 -3.00401519e-03 5.61192101e-05 4.65283729e-03 1.15246251e-01 7.45332465e-02 1.10368282e-01 -2.16841213e-02 6.27598027e-04 7.03054247e-03 7.54192180e-04 8.86904728e-03 -1.70021448e-02 1.37504563e-03 -1.08381277e-02 3.41758248e-03 1.06327176e-01 -8.31854250e-03 -1.74893383e-02 -1.96217094e-02 7.68717984e-03 -3.23084481e-02 1.42393857e-01 -2.13107113e-02 -1.66630909e-01 -8.90574753e-02 -1.63925327e-02 -1.42645657e-01 -6.87698834e-03 -3.85846756e-02 1.09888785e-01 -1.98038280e-01 6.06326386e-04 6.74534962e-03 3.25531070e-03 1.44879764e-03 1.49987027e-01 1.49399206e-01 3.43823340e-03 -1.17594928e-01 -2.41229758e-02 6.23618485e-03 -2.82231043e-03 7.26667345e-02 1.30386904e-01 -1.03547327e-01 -1.49468794e-01 2.68781185e-03 -1.88173316e-02 5.30831255e-02 -1.05339281e-01 -2.98711825e-02 -2.69680303e-02 1.83240871e-03 -7.68855971e-04 -6.78821951e-02 -1.70715556e-01 1.94126703e-02 6.04843302e-03 -1.69655070e-01 -1.12654649e-01 1.17241114e-01 1.70443296e-01 -1.30219281e-01 -8.11531954e-03 -1.07761566e-02 1.83113649e-01 8.10912624e-03 -3.58192138e-02 9.02310237e-02 1.12268716e-01 -3.28508392e-02 1.10033969e-03 -1.61549166e-01 2.52086166e-02 7.74462894e-02 -1.14055023e-01 -1.06897787e-03 1.50751829e-01 -4.65295138e-03 3.04560550e-03 -1.56159446e-01 1.11748057e-03 -3.26125161e-03 1.23297930e-01 1.35253146e-02 1.06748477e-01 -2.79067666e-03] [-9.62148383e-02 5.22002503e-02 -1.00589193e-01 1.29975528e-01 4.85610869e-03 1.06867515e-01 -1.80485874e-01 7.27355108e-02 4.88745794e-03 -1.67504493e-02 -1.35210186e-01 -2.22655553e-02 -1.76484592e-03 2.03449070e-01 1.40341688e-02 4.59734118e-03 -1.03142671e-02 1.43740058e-01 6.43455833e-02 1.45906821e-01 -1.30522540e-02 -1.81871802e-02 1.78113043e-01 3.77739817e-02 1.28768675e-03 -2.03708420e-03 -5.85459247e-02 4.68489900e-03 9.30974036e-02 -1.46881461e-01 1.52677536e-01 -1.45282418e-01 -1.68687794e-02 -7.27964425e-03 1.24285206e-01 2.05492172e-02 -2.08101086e-02 8.43534097e-02 -2.19235406e-03 -1.40181512e-01 1.13873348e-01 -1.85751286e-03 -2.03929667e-04 7.11622182e-04 1.19098581e-01 1.18552819e-01 1.18625462e-01 -1.73532385e-02 2.03030161e-03 5.12299407e-03 5.03204938e-04 7.78404297e-03 -2.12598015e-02 3.22549138e-03 -1.26343668e-02 6.57348754e-03 1.21320382e-01 -8.49301554e-03 -1.37996757e-02 -2.54218318e-02 3.78541159e-03 -8.33757967e-03 1.44292504e-01 -1.27587738e-02 -2.10792869e-01 -5.48106283e-02 -1.03933522e-02 -1.38617203e-01 -1.23426514e-02 -8.90242457e-02 1.15502320e-01 -2.06039935e-01 -1.52564701e-03 7.36726169e-03 5.22116059e-03 6.76932628e-04 1.61818668e-01 1.47681683e-01 3.83390510e-03 -1.83779269e-01 -2.10793465e-02 5.48426388e-03 -6.70273148e-04 6.92910254e-02 3.47411609e-03 -1.58688068e-01 -1.58278629e-01 5.69922384e-03 -1.62863377e-02 4.00137380e-02 -3.19985859e-02 -1.08319364e-01 -3.13279033e-02 5.53262420e-03 3.49318609e-03 -1.00539841e-01 -1.74761683e-01 -1.62238777e-02 9.80789959e-03 -1.89819396e-01 -4.78208028e-02 1.08595274e-01 1.72582805e-01 -1.61599800e-01 -1.67792179e-02 2.40645348e-03 1.83601782e-01 1.04901958e-02 -3.62854563e-02 1.97734594e-01 3.50103229e-02 -2.40534917e-02 -4.19429474e-04 -1.50841236e-01 7.25609483e-03 4.70211357e-02 6.65697306e-02 -1.03588030e-03 5.46260290e-02 -9.84962936e-03 9.36138968e-04 -7.11532831e-02 -1.19356066e-02 -1.16161127e-02 1.01247013e-01 1.96108036e-02 3.21671739e-02 1.32496213e-03] Cos Similarity tf.Tensor(0.91349113, shape=(), dtype=float32) (128,) (128,) [ 9.39019676e-03 6.94925934e-02 3.62987705e-02 -3.94226238e-02 -1.10689905e-02 -3.77185903e-02 3.05463723e-03 2.11463924e-02 3.45263886e-03 -8.04360677e-03 -2.30412483e-01 1.78629998e-03 2.48327712e-03 9.93712991e-02 3.24823819e-02 8.08152780e-02 -7.66185904e-03 -7.22463354e-02 -1.30507588e-01 -1.41214833e-01 2.01162621e-01 -1.29111648e-01 -1.57338772e-02 -7.29003572e-04 5.48531814e-03 -2.87785265e-03 5.42545179e-03 -1.88452136e-02 1.35106340e-01 -8.90701339e-02 -1.38708711e-01 1.96397945e-01 7.91499671e-03 -7.27146538e-03 1.64269328e-01 -1.44782737e-02 -6.71085855e-03 1.03209384e-01 -2.07169214e-03 -6.99840188e-02 -5.86415082e-02 -5.21494728e-03 5.97697729e-03 -1.22816535e-02 1.63708225e-01 9.12401155e-02 -4.57594357e-03 5.36601385e-03 9.26262699e-03 1.52448304e-02 8.73902440e-03 5.65896370e-03 -1.93045568e-02 7.02351518e-03 -5.86636504e-03 9.85892862e-03 -1.13864116e-01 -1.32092675e-02 -7.00987643e-04 -6.33491343e-03 6.13182373e-02 -9.97651219e-02 1.08733186e-02 5.40083880e-03 7.99772982e-03 -3.73322591e-02 -5.36533212e-03 -1.79179624e-01 -2.62261089e-03 -8.82917717e-02 1.79976314e-01 -2.08333001e-01 -4.55636717e-03 2.88803101e-04 6.00635212e-05 2.32104585e-03 -1.10906558e-02 6.18428215e-02 4.40807920e-03 2.24204913e-01 -1.84787512e-02 -1.45541206e-02 4.97131795e-03 -6.72947317e-02 -1.79996446e-01 2.19716325e-01 1.20450139e-01 5.30669931e-03 -3.33093200e-03 1.10667057e-01 1.52180130e-02 2.03059420e-01 -1.03329727e-02 4.75433562e-03 6.99351309e-04 2.09146440e-01 8.09216654e-05 -2.13529930e-01 -5.81021933e-03 3.49634513e-02 1.56564236e-01 1.09075837e-01 1.26168028e-01 5.76164238e-02 -2.35360563e-02 1.27255861e-02 -3.41426954e-02 1.24256192e-02 -4.88815969e-03 -1.21704817e-01 3.63980085e-02 -1.78936794e-01 -3.62375344e-04 -7.45225400e-02 8.41394812e-03 9.22919214e-02 1.68548182e-01 -7.01311277e-03 -1.98787451e-01 -1.82362441e-02 -2.91373162e-03 8.65628868e-02 4.13854001e-03 -2.64836643e-02 -8.01274627e-02 6.10861033e-02 5.30402884e-02 -6.82093110e-03] [-3.60632385e-03 6.29999861e-02 2.24620644e-02 -3.73370461e-02 -1.62711162e-02 -2.81663463e-02 2.96135340e-02 2.47024521e-02 2.97587411e-03 -8.05400684e-03 -2.28336528e-01 3.83741874e-03 1.88106985e-03 1.15622595e-01 2.89751999e-02 4.19133902e-02 -1.20190419e-02 -7.00147152e-02 -1.10798806e-01 -1.45644456e-01 2.00732917e-01 -1.20698981e-01 -6.04651347e-02 6.34933263e-03 -1.46926599e-04 -2.56718625e-03 1.23023856e-02 -2.18197554e-02 1.39237404e-01 -8.36653635e-02 -1.32021114e-01 2.00827792e-01 7.96301756e-03 -7.55050685e-03 1.49649516e-01 -9.93339717e-03 -9.61466134e-03 1.00489825e-01 -9.07593756e-04 -8.42305422e-02 -5.33475615e-02 -3.83957080e-03 4.88001201e-03 -9.50081553e-03 1.61989346e-01 1.00965075e-01 -4.18373011e-03 3.98170296e-03 8.09498783e-03 1.48370042e-02 9.20799654e-03 4.62701218e-03 -1.23897661e-02 6.98251650e-03 -5.53286215e-03 9.59258527e-03 -1.21756136e-01 -1.16920285e-02 -5.86714828e-04 -7.64014386e-03 5.63374609e-02 -9.73093361e-02 1.76305324e-02 5.20109478e-03 1.32161444e-02 -4.18674126e-02 -5.58426511e-03 -1.72396660e-01 -5.36557427e-03 -7.58575052e-02 1.77038908e-01 -2.08104238e-01 -4.78136959e-03 -4.07754269e-05 -1.26622245e-03 1.80404168e-03 -6.91361632e-03 5.59249781e-02 4.92214924e-03 2.27269471e-01 -1.92143749e-02 -1.55880908e-02 -6.98462100e-05 -3.99968252e-02 -1.90829903e-01 2.21188664e-01 9.21042487e-02 1.06253112e-02 -1.16776507e-02 1.16073243e-01 3.16565149e-02 2.04468936e-01 -1.35136433e-02 3.20335780e-03 1.89201336e-03 2.09812194e-01 -7.95030128e-03 -2.12618917e-01 -7.00507220e-03 2.02090498e-02 1.68990523e-01 1.09857857e-01 1.27136111e-01 3.89879569e-02 -2.33351290e-02 1.16200922e-02 -3.66670042e-02 9.93903913e-03 -6.22175774e-03 -1.06810607e-01 3.42939757e-02 -1.96160167e-01 -2.70071934e-04 -8.95988569e-02 6.94092689e-03 1.10887244e-01 1.82198137e-01 -1.06003974e-02 -1.91985503e-01 -1.96723379e-02 -2.66533275e-03 1.07677303e-01 4.35198285e-03 -2.84075327e-02 -5.89640625e-02 5.38756251e-02 5.09813353e-02 -8.48547183e-03] Cos Similarity tf.Tensor(0.99393773, shape=(), dtype=float32) (128,) (128,) [ 0.1747285 -0.17261799 0.10929024 -0.1471427 -0.00294443 -0.12702046 0.14080334 0.12744558 0.0183461 0.00885259 0.1327047 0.01652939 0.00931418 0.02474118 -0.02898381 0.10617431 0.00046058 -0.07248553 0.02235593 0.15050054 -0.09303994 0.10607893 -0.17792372 -0.09185408 -0.01825225 0.0176818 0.13297635 -0.01370771 -0.17719501 0.16279757 -0.19489384 0.06870251 -0.02007162 0.02181687 -0.19904523 0.02672138 -0.00552492 0.18520896 -0.02143013 -0.08904363 0.03202845 0.00038027 0.00175608 -0.0173186 -0.03454891 -0.03609993 0.12633957 0.02305745 0.01633937 0.02300096 -0.00325215 0.0037914 0.01767846 -0.00139007 0.0172393 0.02092649 -0.0675515 -0.01639472 0.0154563 -0.00111536 0.11522522 -0.07863244 -0.06612936 0.01304815 0.08885137 -0.11064662 0.00658092 0.12401505 0.01634275 0.06622137 0.00226387 0.12461019 -0.00078062 0.03279768 -0.02289139 0.01944084 0.04059082 -0.04295982 -0.00875025 0.17932235 -0.00427664 -0.00025228 0.00686637 0.19598922 -0.0209645 -0.06399966 -0.11210819 0.01509212 -0.00223197 0.04930181 -0.09916545 0.09652527 -0.00079475 0.02666473 0.0189227 -0.16434692 0.01130346 0.14488478 -0.00183126 -0.00283871 -0.13928382 0.08116291 0.16171347 0.16223747 -0.01011723 -0.00890058 0.12364515 0.01419891 0.01005784 -0.15401043 0.03021759 0.17808193 -0.0087389 0.14525539 -0.09703352 0.01512891 -0.08552823 -0.0177613 -0.1941919 0.00117555 -0.02267415 -0.06129828 0.00631423 0.0038489 0.1407114 0.04118996 -0.08454106 -0.01624832] [ 0.09113013 -0.16336043 0.10633786 -0.14389363 -0.00282467 -0.11581912 0.19316444 0.08436003 0.01513499 -0.00169594 0.0599885 0.01798705 -0.00098328 -0.00606695 -0.10866369 0.12220761 -0.03057056 0.0113196 0.01692497 0.15412004 -0.14039142 0.09698665 -0.19299592 -0.13717023 -0.00242975 0.00499349 -0.02094907 -0.00262705 -0.16174342 0.1458854 -0.14634109 -0.02089055 -0.01220473 0.00090593 -0.18705142 -0.01194071 -0.00849657 0.1696674 -0.01844695 0.03810794 0.01089589 0.00329084 -0.00123012 -0.01547755 -0.07746749 -0.06715234 -0.15091228 0.01158676 0.00840619 0.02723785 0.00451968 0.00114828 -0.00533888 0.00165617 -0.01238168 0.00460068 -0.09098537 -0.00662952 0.00258802 0.01523928 0.16455147 -0.09356921 -0.15948799 -0.01514341 0.0176696 -0.11843754 0.00496161 0.10851025 -0.00439133 -0.07082278 0.15304038 0.09521835 0.00439569 0.0128638 -0.01699324 0.02669928 -0.00351193 0.09306753 0.00300344 0.15654226 0.0215415 -0.00054517 0.01391412 0.08911109 0.0853048 -0.1564589 -0.03477566 0.01632109 -0.00456818 -0.13369404 0.06331999 0.16537067 -0.0072743 0.01372252 0.00371411 -0.13894896 0.0495092 0.1046067 0.0080999 0.1135107 -0.15641116 0.04926932 0.16445103 0.12073179 -0.01770298 0.02617753 0.1999759 0.03559747 0.01238136 -0.17621155 -0.08756159 0.18375123 -0.02004749 0.03519478 -0.06564535 -0.02045781 -0.1993396 0.01530417 -0.07502744 0.01202359 -0.00282648 -0.04529406 0.00561414 0.0100976 0.12481906 0.06275248 -0.03214677 -0.00700691] Cos Similarity tf.Tensor(0.7755592, shape=(), dtype=float32) (128,) (128,) [-1.91887036e-01 2.45818915e-03 -2.95517836e-02 5.95346950e-02 -7.09106354e-03 1.15287094e-03 1.40958384e-01 1.76121727e-01 -3.85906384e-03 -1.96678787e-02 -1.01552211e-01 -2.77062645e-03 -5.67629421e-03 1.54904291e-01 2.66867555e-05 3.08652571e-03 -1.04602939e-02 -6.98661879e-02 -1.27055734e-01 -1.37676612e-01 -7.69442096e-02 1.35664791e-01 -2.13172689e-01 1.30170196e-01 -1.15576461e-02 3.66438203e-03 -1.79797143e-01 -4.39842045e-02 2.74733547e-02 -9.65548456e-02 -5.27852774e-02 -7.05647543e-02 -1.15146032e-02 -2.95274891e-02 1.86807975e-01 -2.41129883e-02 -8.30758736e-03 1.00575509e-02 -3.02680372e-03 -4.14049663e-02 4.09591943e-02 8.56266636e-03 5.81487955e-04 -1.50358267e-02 3.92933637e-02 -1.83375145e-03 6.25625700e-02 -2.01332308e-02 -1.92475051e-03 3.43421125e-03 4.28534532e-03 5.60940476e-03 -1.24632949e-02 1.48095866e-03 -1.53925568e-02 7.72616640e-03 -1.95073098e-01 -1.14923585e-02 -1.47667713e-02 -2.00139824e-03 1.60173237e-01 -1.35435220e-02 1.31899998e-01 -2.43696161e-02 -1.96493298e-01 7.43965283e-02 -9.67533235e-03 1.12072147e-01 -3.63214836e-02 -1.70259610e-01 1.37957662e-01 -3.60082425e-02 2.30423757e-03 2.84540979e-03 -2.88609066e-03 -1.03021441e-02 -1.85964048e-01 1.21020399e-01 -7.98910565e-04 -2.09744424e-01 -2.90894303e-02 -5.82259439e-04 -1.66970715e-02 2.99635250e-02 -2.15709694e-02 -9.16163549e-02 4.16709818e-02 5.27833821e-03 -1.98890399e-02 -3.90638113e-02 -1.87779233e-01 5.76232560e-02 -2.33068503e-02 5.42056421e-03 -8.75782501e-03 1.99823715e-02 -3.72111946e-02 -5.74055053e-02 -1.66767072e-02 -1.59638777e-01 -2.32646674e-01 6.26843050e-02 -3.44986506e-02 1.55137897e-01 -2.73870155e-02 -6.19124947e-03 4.91301306e-02 -5.89311030e-03 -3.45946960e-02 3.01656034e-02 6.81735426e-02 -1.44063056e-01 -1.90692786e-02 1.87720850e-01 9.01467726e-02 -1.75761715e-01 -1.61618054e-01 6.68048998e-03 1.73082381e-01 -1.49875302e-02 1.33896037e-03 6.98999222e-03 8.28186236e-03 -1.49283633e-02 -1.75549239e-01 2.47895140e-02 5.22678979e-02 -8.25784728e-03] [ 1.44461378e-01 3.95880686e-03 6.39601946e-02 6.08351864e-02 2.14000288e-02 -5.27189262e-02 1.52735543e-02 1.14781968e-01 -7.85401149e-04 4.06241976e-03 -9.89307016e-02 1.93954131e-03 3.12995501e-02 1.77385837e-01 -1.85457423e-01 -8.72824993e-03 -3.49164917e-03 7.39065781e-02 -1.94644183e-01 -6.60133958e-02 -1.75615579e-01 7.55553395e-02 -1.69750199e-01 1.72440207e-03 2.63690837e-02 1.40714115e-02 -1.01791844e-01 -5.78221353e-03 8.11754614e-02 -1.39364138e-01 3.06190411e-03 -8.72361436e-02 -5.08735748e-03 1.46522019e-02 1.66809529e-01 -3.70690338e-02 2.48976294e-02 3.18660495e-05 -1.88888777e-02 6.39734343e-02 1.03314975e-02 -6.87846506e-04 1.87545922e-02 -1.12133846e-02 2.74612270e-02 -8.75171274e-02 -4.81681991e-03 -8.31099751e-04 -9.66159278e-04 9.16298851e-03 7.82101043e-03 4.21610661e-03 2.08175052e-02 9.29240021e-04 1.29791265e-02 2.28073951e-02 -2.14602768e-01 -2.96521969e-02 -1.71377733e-02 1.88401062e-02 2.16861531e-01 1.81221947e-01 -1.13066688e-01 -4.91042202e-03 -2.40034282e-01 2.09727645e-01 -1.21008093e-02 1.63385749e-01 6.99858926e-03 -8.04474354e-02 5.73279373e-02 -6.02827854e-02 -2.51825852e-03 1.51274521e-02 1.33179147e-02 -2.37215608e-02 7.14685544e-02 1.59703434e-01 -6.84684562e-03 -1.50622159e-01 -1.47066060e-02 1.86131510e-03 -6.24026638e-03 -1.27745911e-01 -2.86263116e-02 -1.33398667e-01 6.79556280e-02 2.12585088e-02 1.61332812e-03 -1.15548819e-01 -1.71738416e-02 3.63213681e-02 1.12880589e-02 2.42962576e-02 1.47674012e-03 4.14571762e-02 -1.43656507e-01 1.28609583e-01 -7.13959336e-03 -3.57713252e-02 -2.41872653e-01 1.39962703e-01 -1.29825264e-01 1.42407954e-01 -9.90205351e-03 1.18789654e-02 -1.49072884e-02 -7.02867378e-03 -4.82057035e-03 -6.72253221e-02 -1.51890531e-01 -4.04906422e-02 1.03033502e-02 1.41811788e-01 -8.71604159e-02 -2.00963750e-01 1.99697670e-02 1.92743931e-02 4.35978696e-02 2.32426152e-02 -3.11068445e-03 -1.29114285e-01 8.59517045e-03 5.99932764e-03 -7.00484738e-02 5.60843237e-02 3.48839946e-02 4.94093681e-03] Cos Similarity tf.Tensor(0.57903975, shape=(), dtype=float32) (128,) (128,) [-4.18026149e-02 6.44513890e-02 -8.04618523e-02 -4.67474088e-02 -4.21031602e-02 5.70546556e-03 -1.07067525e-01 -2.14855209e-01 4.12852876e-03 -4.22654999e-03 -2.17684358e-01 -9.92005412e-03 5.59801329e-03 -1.53228819e-01 6.28230497e-02 -1.18735485e-01 -3.68164061e-03 -1.34553790e-01 2.02022746e-01 4.62268200e-03 3.71717885e-02 -1.38017476e-01 5.75800762e-02 -6.83139823e-03 1.03230821e-02 5.07215154e-04 1.10540733e-01 -3.85850631e-02 8.58589187e-02 1.64082274e-01 -1.69758141e-01 7.45571032e-02 7.36024138e-03 -4.73454967e-03 1.05927758e-01 -1.78344008e-02 -1.17069215e-03 -1.47931486e-01 5.30940201e-03 -8.07125047e-02 -1.20985530e-01 -2.77471356e-03 -1.20640844e-02 3.32042645e-03 -1.08154848e-01 1.59245789e-01 2.86822338e-02 2.47984682e-03 7.10071018e-03 4.78409784e-04 6.93734316e-03 3.03606526e-03 -2.58572977e-02 4.89002280e-03 -1.46752503e-02 1.93685351e-03 -5.55327311e-02 3.94466706e-03 3.82931065e-03 -1.57273747e-02 7.89662972e-02 -1.03089012e-01 1.72757864e-01 -4.71962336e-03 -1.14990547e-01 6.22127624e-03 -1.83537528e-02 -1.03215058e-03 -2.01598201e-02 -1.76113918e-01 2.65813060e-02 -2.69275475e-02 2.77239806e-03 7.78816975e-05 -7.50955800e-03 3.88598070e-03 1.10823780e-01 6.98607787e-02 -9.22956911e-04 7.01613771e-03 -1.36900051e-02 2.35632602e-02 4.96397633e-03 -2.00816885e-01 -1.06968828e-01 7.13251010e-02 7.98936635e-02 2.77897314e-04 -3.70515045e-03 1.38034195e-01 9.29371268e-02 1.46774232e-01 1.93954108e-03 2.77475640e-03 -9.61103884e-04 1.52133092e-01 -1.85519621e-01 -2.08528161e-01 -1.10197570e-02 8.89082626e-02 1.80738375e-01 1.69990689e-01 -5.55976178e-04 1.50744364e-01 -1.68599579e-02 3.20997904e-03 1.56308472e-01 2.05799975e-02 -9.37093794e-03 -1.65722400e-01 -9.94525403e-02 -1.14172772e-01 -1.10725481e-02 2.56895740e-02 4.83757332e-02 6.47146255e-02 6.44242242e-02 -1.00594759e-02 8.03758353e-02 -6.86050206e-03 6.12650020e-03 1.78312913e-01 1.33381300e-02 -2.82881185e-02 -1.63577780e-01 3.46316174e-02 5.42690866e-02 -8.69399216e-03] [-5.97457699e-02 1.72119774e-02 -1.19252369e-01 6.34443993e-03 -5.18100373e-02 -3.18147941e-04 -1.13609627e-01 -2.13836029e-01 3.36819654e-03 -3.03674000e-03 -2.27066979e-01 -6.59058662e-03 -4.22181271e-04 -1.75120339e-01 3.42249637e-03 -1.45213306e-01 -1.37540502e-02 -2.22128406e-01 1.97789595e-01 -1.84436873e-01 9.70653258e-03 -9.57663357e-02 -9.05643776e-02 3.64016672e-03 1.22366585e-02 1.03942980e-03 8.34105909e-02 -1.45653654e-02 4.41880412e-02 1.85851261e-01 -2.69226218e-03 -1.81892172e-01 9.83143039e-03 -2.03090627e-02 -3.54486518e-02 -2.89521124e-02 8.21508095e-03 7.37909228e-02 -5.13028726e-03 -8.70341882e-02 2.16015037e-02 2.48792535e-03 -2.72369180e-02 4.36343532e-03 -1.15736365e-01 1.22260548e-01 6.50326684e-02 2.88034580e-03 1.62343942e-02 -8.38466175e-03 2.28405930e-03 2.25298153e-03 -2.42136680e-02 5.22713363e-03 -6.88786944e-03 6.31004898e-03 -8.92329812e-02 6.12465292e-03 5.29196719e-03 -1.17632709e-02 -9.10987332e-03 1.12979583e-01 1.31125212e-01 -1.27509609e-02 1.02018826e-01 -3.68035473e-02 -1.84682030e-02 -2.67021302e-02 -3.84448953e-02 -2.13479802e-01 8.00275132e-02 -1.45897239e-01 5.70618547e-03 -1.45889784e-03 -1.74094848e-02 4.52517718e-03 1.85362101e-02 -1.89436279e-04 1.93634711e-04 -9.86689851e-02 -1.89603977e-02 2.22047001e-01 -1.82064064e-02 -2.02589318e-01 5.21211512e-02 2.64144000e-02 -2.24995464e-02 -4.02092352e-04 -2.01655435e-03 -1.38196060e-02 1.67207362e-03 1.62369926e-02 -4.50748624e-03 7.32058939e-03 -2.02718806e-02 -5.64072654e-02 -2.29046673e-01 -2.27685586e-01 -1.24117583e-02 -2.69030593e-02 1.97984874e-01 1.37114644e-01 -1.50980458e-01 9.60695446e-02 2.20309058e-03 1.11391367e-02 -5.29986657e-02 5.13844788e-02 -1.51791144e-02 -7.34708644e-03 -1.66540340e-01 -9.92832333e-02 -1.16076851e-02 -5.91861689e-03 8.67324173e-02 -1.00589983e-01 -1.82761624e-02 6.25751447e-03 -1.50859356e-01 -9.76997148e-03 1.73140026e-03 1.41065210e-01 6.63112104e-03 -1.15971928e-02 2.22003441e-02 1.88517477e-02 1.14958704e-01 -1.55083332e-02] Cos Similarity tf.Tensor(0.5802668, shape=(), dtype=float32) (128,) (128,) [-1.24104634e-01 -6.43644854e-02 -8.01609978e-02 -8.28604624e-02 -4.03461233e-02 1.76619738e-01 1.57991946e-01 -2.36993819e-01 -8.80857231e-04 -7.20193726e-04 1.46787390e-01 -4.82370891e-03 1.59438085e-02 -1.92943126e-01 5.04695512e-02 -3.12541388e-02 4.37553832e-03 -7.84001276e-02 1.99281380e-01 1.00372382e-01 1.22954780e-02 -1.93829402e-01 -5.99327423e-02 -7.84345418e-02 -9.83025879e-03 7.23792659e-03 1.18974335e-01 -1.76258571e-02 6.75249025e-02 -2.44116262e-01 -3.78864594e-02 1.50383702e-02 -7.89008942e-03 -1.61033089e-03 9.21498090e-02 -5.07711852e-03 -1.04201147e-02 6.56889752e-02 6.66633155e-03 5.34915307e-04 -1.70892388e-01 -6.55465119e-04 -6.60489732e-03 1.53080688e-03 -1.39202150e-02 -1.64475992e-01 1.94119304e-01 9.85278562e-03 6.47527119e-03 1.10342586e-02 1.36369560e-02 -4.66217345e-04 -1.64743830e-02 1.20840524e-03 -1.20739071e-02 -3.48456274e-03 9.17197838e-02 -2.25978694e-03 -9.71900183e-04 -2.86496542e-02 -2.36138031e-01 5.28035276e-02 -6.45892546e-02 -1.07642030e-02 -5.27909733e-02 6.47708848e-02 -3.81815545e-02 -8.94016307e-03 -2.93882862e-02 -1.38735130e-01 -8.21455568e-02 2.76771002e-03 -1.21646775e-02 5.09254262e-03 -2.67721508e-02 9.23501421e-03 1.52956039e-01 -7.56321698e-02 -4.56881197e-03 1.35596916e-01 -5.80456713e-03 4.49225232e-02 -1.37005234e-02 -2.05446184e-01 1.23149797e-01 -1.89299315e-01 -6.51692227e-02 1.67552877e-04 -9.43539385e-03 1.08734079e-01 -1.73410624e-01 2.11374074e-01 -1.55047858e-02 3.31993913e-03 -1.45973929e-03 -8.41116309e-02 -5.86988404e-02 3.96492854e-02 3.78695037e-03 5.93184270e-02 -5.41963354e-02 2.94423271e-02 -1.95025690e-02 1.74376026e-01 -5.48233418e-03 -2.18565892e-02 -1.98593102e-02 2.15343712e-03 -1.79493823e-03 -1.07443444e-01 1.02015458e-01 1.46084186e-02 -2.32114941e-02 2.03358363e-02 -2.37476639e-02 -1.61320751e-03 -2.49556173e-02 2.73879315e-03 -1.30956814e-01 -5.45008369e-02 -3.34730372e-03 1.70954138e-01 1.25062931e-02 -1.84184201e-02 -2.36065928e-02 8.19250122e-02 1.53300568e-01 -6.90074312e-03] [-7.53150806e-02 1.14949740e-01 1.01956859e-01 -1.29081354e-01 -3.82015035e-02 3.03257089e-02 -1.04573980e-01 -2.17051178e-01 7.12645473e-03 -5.92621602e-03 -4.88652587e-02 -2.13219225e-02 1.74322017e-02 -1.69356063e-01 -9.58734378e-02 -7.87155107e-02 6.21812046e-03 8.06418210e-02 5.20360507e-02 -1.34450153e-01 1.53778225e-01 2.00713277e-01 -1.58098817e-01 -4.53572050e-02 -6.65845349e-04 7.08552124e-03 -1.09058067e-01 7.89593719e-03 -7.24708736e-02 -9.79194045e-02 -1.28023073e-01 1.50105849e-01 1.46458559e-02 -7.10816402e-03 4.17111022e-03 1.05118426e-02 -4.98622539e-04 -1.78599078e-02 1.12108355e-02 6.62556440e-02 -3.04854102e-02 3.51217808e-03 -3.88037134e-03 1.87807390e-03 9.31545869e-02 -2.13931307e-01 -1.01119988e-01 9.82475840e-03 1.55738723e-02 8.20503291e-03 1.08245453e-02 2.22368872e-05 -1.47709660e-02 6.34173350e-03 -7.91524723e-03 5.60925668e-03 -2.64470316e-02 -3.29375151e-03 2.98507069e-03 5.36187144e-04 -1.34432003e-01 1.50521979e-01 3.45100574e-02 -4.57703620e-02 -3.38241830e-02 -8.30817893e-02 -1.46049205e-02 5.85925058e-02 -2.14528907e-02 -1.96442500e-01 -6.21969961e-02 -1.32958069e-01 -7.72687932e-03 2.56833783e-03 -7.75029371e-03 9.92065016e-03 5.05444175e-03 -1.47502959e-01 -4.41908790e-03 -1.24072343e-01 9.14839655e-03 -5.64242573e-03 5.88811142e-03 -1.91099629e-01 1.95835322e-01 -7.81309530e-02 5.81962541e-02 8.68489593e-03 -9.60883778e-03 -6.58007413e-02 -1.08424507e-01 1.66023389e-01 3.05107865e-03 1.04376758e-02 1.01475092e-02 8.32825676e-02 8.82485602e-03 -1.44651845e-01 -7.39277864e-04 9.86394212e-02 -5.10034198e-03 -9.94088426e-02 9.65311676e-02 -8.89037177e-02 4.24682396e-03 -1.91873200e-02 1.59922857e-02 9.62126942e-04 3.53071815e-03 -1.99774787e-01 5.15021235e-02 7.08419755e-02 -1.15982862e-02 4.30676388e-03 -8.09871554e-02 2.08827525e-01 -5.87417223e-02 7.45909242e-03 -1.84670091e-01 -1.99284349e-02 -1.03798043e-02 2.16245010e-01 2.09035408e-02 -3.78302601e-03 1.68473110e-01 6.15711100e-02 1.63135514e-01 -7.04273954e-03] Cos Similarity tf.Tensor(0.34232602, shape=(), dtype=float32) (128,) (128,) [-8.58233217e-03 -2.43091267e-02 -8.33381563e-02 -1.50906295e-01 -4.23764586e-02 -1.28588909e-02 -8.57717474e-04 -1.65896073e-01 1.27722351e-02 3.19211208e-03 -2.09838703e-01 1.78859445e-05 1.84462010e-03 -6.63200244e-02 3.17644551e-02 5.19543290e-02 2.09381469e-02 2.73284372e-02 2.12926060e-01 -3.26955579e-02 -1.42733648e-01 -1.52034402e-01 -1.71082616e-01 1.25741288e-02 1.37951663e-02 2.71054637e-03 -1.73419803e-01 -4.17787395e-03 -1.88988587e-03 2.22678587e-01 -1.14783064e-01 9.75504816e-02 9.17429850e-03 7.96717312e-03 2.21148739e-03 -2.72123460e-02 -9.86949541e-03 3.76984105e-02 -1.64872259e-02 -3.96636538e-02 -1.22361574e-02 -4.81756777e-03 -5.33521874e-03 1.31527456e-02 4.91117500e-02 5.37022948e-02 2.19503492e-02 1.19321998e-02 1.65631473e-02 -7.23593915e-03 1.21871103e-02 8.24012235e-03 -1.19424080e-02 4.85742185e-03 -2.82425107e-03 7.15144817e-03 8.65612179e-02 7.19879800e-03 1.82286482e-02 -3.55430469e-02 4.31508571e-02 -2.03654647e-01 1.87522799e-01 -4.27223276e-04 -8.85027349e-02 -1.81262404e-01 -2.28820015e-02 1.37418255e-01 -1.67034473e-02 -1.69820026e-01 9.04896483e-02 -8.92000273e-02 7.99315050e-03 -1.57619845e-02 -2.02115178e-02 1.95504762e-02 1.90549836e-01 -1.77251454e-02 -2.73106876e-03 -1.17052831e-01 -2.44412315e-03 -6.51601818e-04 1.17269205e-02 -1.57267198e-01 -1.67839274e-01 -2.53159031e-02 4.69502546e-02 1.31721916e-02 -4.07644128e-03 1.47905573e-01 3.27714048e-02 -1.43212721e-01 1.17784995e-03 2.77166255e-02 3.49521684e-03 -1.77969951e-02 -1.42021641e-01 -1.99194118e-01 -9.53692477e-03 9.15780962e-02 1.85202450e-01 1.03371590e-01 -4.64911200e-02 1.73855275e-01 -4.09980444e-03 1.13074062e-02 1.12251937e-01 9.50385071e-03 3.78946331e-03 -9.58198830e-02 -1.13245077e-01 -1.65365607e-01 -4.81023639e-03 1.45090789e-01 1.42495306e-02 5.80575205e-02 4.96203378e-02 -8.62236507e-03 -1.93914026e-01 -6.38473895e-04 7.44308252e-03 -3.42809260e-02 2.22944040e-02 -1.83426887e-02 -1.29872978e-01 1.05179004e-01 -7.52158538e-02 2.40456057e-03] [-1.41595732e-02 -2.03035753e-02 -5.91489673e-02 -1.88837033e-02 -1.08589772e-02 -7.11670443e-02 3.23259123e-02 -1.47763282e-01 1.11006051e-02 -2.23405589e-03 -1.23831756e-01 -4.39860579e-03 -1.41059267e-04 -4.66842912e-02 5.75368628e-02 -1.39670134e-01 2.55950764e-02 -1.54345855e-01 2.13569283e-01 -6.19008131e-02 -1.14044651e-01 -1.57232165e-01 -1.38054669e-01 3.21086608e-02 2.77361572e-02 1.05926096e-02 -1.36966169e-01 1.43222911e-02 3.58631741e-03 2.32936800e-01 2.25003998e-04 6.52052090e-02 8.45887046e-03 1.40649015e-02 1.30491436e-01 -1.36093572e-02 4.85790800e-03 8.22571889e-02 -5.69479400e-03 -2.55666245e-02 2.00010724e-02 -2.96311546e-03 -1.38851814e-02 2.42578406e-02 -2.92267315e-02 -2.34455653e-02 1.53078409e-02 1.33897411e-02 2.16598455e-02 -4.34874650e-03 1.26469703e-02 4.86833183e-03 -8.35052598e-03 1.41631439e-02 -1.82025097e-02 9.33048502e-03 1.74754426e-01 5.64128766e-03 1.99129526e-02 -1.74443293e-02 1.00521810e-01 -1.54739574e-01 1.71881169e-01 -8.56142864e-03 2.19216570e-02 -2.35558748e-01 1.40753994e-03 7.75612295e-02 -8.87983292e-03 -5.23514152e-02 -1.73104852e-02 -1.14533212e-02 -2.77348259e-03 -2.21167672e-02 -2.96426527e-02 1.46117108e-02 2.09384874e-01 -5.96003942e-02 4.42650547e-04 -1.04175434e-01 3.91311757e-03 1.15543418e-02 1.22898677e-02 -2.15725824e-01 -1.81877524e-01 -1.81200117e-01 1.85871586e-01 7.68856239e-03 4.68251528e-03 -6.46239845e-03 -6.74264878e-02 -1.99964404e-01 1.37536824e-02 8.33071861e-03 1.31094074e-02 -1.62785858e-01 -5.75424321e-02 -2.27349475e-01 -8.33372585e-03 -1.20358974e-01 1.22936442e-01 4.00664657e-03 -2.07698587e-02 4.41154614e-02 -4.57527395e-03 3.27081420e-02 5.31068183e-02 5.93162281e-03 2.05029566e-02 -1.53026536e-01 -1.31026760e-01 5.24437241e-02 1.25853550e-02 -6.72426298e-02 7.65545666e-02 -1.68772668e-01 3.53971608e-02 5.61734755e-03 -1.71181187e-01 8.79603811e-03 -2.87593156e-03 1.13978244e-01 3.59839499e-02 -2.28604432e-02 4.72397432e-02 1.35655895e-01 -9.34609696e-02 4.71078418e-03] Cos Similarity tf.Tensor(0.68780696, shape=(), dtype=float32) (128,) (128,) [-4.91469428e-02 -1.66938469e-01 -3.24809402e-02 1.34887211e-02 -2.17984454e-03 7.63451755e-02 -9.07884836e-02 9.70895216e-02 8.39723460e-03 -1.32279033e-02 -1.24670006e-01 -3.29428399e-03 -6.26273174e-03 9.17074457e-02 4.55715284e-02 1.48006931e-01 -4.28133970e-03 -1.25983492e-01 -1.36621833e-01 -1.37498751e-01 -1.18595459e-01 -8.23979080e-02 8.20035711e-02 6.45493940e-02 -3.14455703e-02 -4.72035696e-04 7.79783204e-02 -4.09863777e-02 3.99796702e-02 2.14911684e-01 1.19037479e-01 7.48058930e-02 -1.25992607e-04 -2.03009769e-02 1.73806250e-01 -1.44646009e-02 -9.57223494e-03 1.46433219e-01 -4.84282942e-03 -1.68778315e-01 1.15684152e-01 8.05848837e-03 -3.77782671e-05 -3.88554647e-03 -5.43845817e-02 6.37486652e-02 -1.62566364e-01 -1.33890538e-02 1.74868223e-03 7.76671106e-03 1.39423285e-03 -3.71600222e-03 -1.94930453e-02 3.57927103e-03 -2.15262100e-02 6.89741829e-03 -1.47242665e-01 1.11392478e-03 -3.37263173e-03 -9.04255919e-03 -1.26793236e-01 -1.30955920e-01 1.07243106e-01 -1.09237842e-02 1.32086501e-01 1.67270601e-01 -8.73724185e-03 1.45598873e-01 -1.03913629e-02 -7.94194713e-02 1.07536808e-01 -1.48196593e-01 -6.33975549e-04 2.83702486e-03 -2.26716865e-02 6.09912490e-03 7.79762939e-02 1.92050979e-01 3.04235937e-03 1.30655318e-01 -1.79632343e-02 -5.69021422e-03 -1.26599092e-02 1.39402002e-01 -2.02346116e-01 1.67709723e-01 1.02291130e-01 7.31243752e-03 -3.21973930e-03 -9.08009335e-02 -1.16768457e-01 2.00438842e-01 -1.87612919e-03 2.16770289e-03 -1.32837426e-02 2.92653684e-02 2.02922612e-01 -1.06987119e-01 -1.29763996e-02 -3.64832506e-02 -3.28023918e-02 5.07961679e-03 9.08724815e-02 -8.61159265e-02 -9.32796486e-03 8.01318418e-03 -5.28748147e-02 -1.24214506e-02 -2.71210708e-02 8.00823420e-02 1.65938422e-01 1.16926096e-01 -2.06283871e-02 -1.31526768e-01 -2.67045735e-03 7.06011951e-02 6.90253079e-02 -1.53782442e-02 5.90606686e-03 -1.61218066e-02 1.50980568e-03 -1.34178117e-01 6.99981302e-03 -2.06023641e-02 1.85784519e-01 9.11354087e-03 7.69182891e-02 -2.03805640e-02] [ 0.10449292 -0.12686196 -0.05721379 -0.01314388 0.01849674 0.08919633 0.03528276 -0.06806073 0.02015207 0.00363558 -0.06555108 0.01229105 -0.00163835 0.00706855 0.01768816 0.10779471 0.01144768 -0.15777595 0.08778077 -0.12550966 -0.17072254 -0.01014903 0.0615195 0.11610754 -0.02795777 0.00472265 0.06813211 -0.03270294 0.06255448 0.20275187 0.09269138 0.06133359 -0.02282302 -0.00689817 0.09568305 -0.0021914 0.01627919 0.05679471 -0.02941532 -0.15140232 0.012095 0.01619218 0.00339778 0.00928803 -0.09315494 0.10319155 -0.135774 -0.00613971 0.00698768 0.01857871 0.00904442 0.0003673 0.0095793 0.01047244 -0.01217515 0.01864005 -0.03897875 -0.02679286 0.02096342 0.00100845 -0.14674076 -0.20134874 -0.02609573 0.01476496 0.14451103 0.10659656 0.00041196 0.18172874 0.01202419 -0.10962461 0.0361978 0.00565659 -0.00037027 0.00931003 -0.01360764 0.02083101 0.10282005 0.18883522 -0.02064497 0.1806092 -0.00554944 -0.0106581 -0.00184595 0.16257975 -0.17579412 0.18681799 0.1882281 0.01945975 0.01577407 -0.14982171 -0.13480544 0.21103108 0.00669556 0.03739154 -0.0155941 -0.02690151 0.1822103 0.06129778 -0.00696146 0.02900039 0.08922871 -0.10751756 0.08459558 -0.11109941 0.01149922 -0.0150778 -0.16341846 -0.0259287 -0.00440882 0.00156091 0.18486434 0.1043307 -0.02246707 -0.17074122 -0.06684656 0.01502325 0.17220677 -0.02169582 -0.00775812 0.00949556 -0.0034409 -0.15433633 0.03862897 -0.00650175 0.14511381 0.02908808 0.02740085 -0.01974731] Cos Similarity tf.Tensor(0.80792946, shape=(), dtype=float32) (128,) (128,) [-1.41122490e-02 -1.63575351e-01 1.25559986e-01 -1.75999269e-01 -1.13620339e-02 -2.14852812e-03 -3.72221842e-02 3.77677567e-02 1.12863937e-02 2.78975186e-03 -2.05375344e-01 1.76890157e-02 -5.88548835e-03 4.77091745e-02 -1.10311806e-01 -2.25143768e-02 -3.85991205e-03 -9.78114009e-02 1.24351218e-01 9.20664743e-02 -5.34761176e-02 -1.92074031e-01 -7.01866373e-02 -5.91672845e-02 4.22664220e-03 3.69239692e-03 4.42617871e-02 1.34330122e-02 -1.57087058e-01 1.61551628e-02 8.62601548e-02 8.82947519e-02 2.06479095e-02 1.17025701e-02 1.27220914e-01 7.95887224e-03 1.21580111e-02 1.47412275e-03 -1.70131437e-02 3.58138680e-02 -1.46154672e-01 -6.53715897e-03 1.35884127e-02 2.34350935e-03 -2.47248658e-03 2.13501975e-02 -5.27587831e-02 1.92341395e-02 9.49187391e-03 1.86342355e-02 1.03104869e-02 3.86247342e-03 -4.49849572e-03 5.87155344e-03 4.92861727e-03 1.91694610e-02 -1.03828155e-01 -1.48142930e-02 5.31929033e-03 -1.29106995e-02 4.71714176e-02 7.50257745e-02 -9.76688340e-02 1.58825014e-02 9.56000984e-02 1.28424495e-01 9.30538494e-03 6.51987642e-02 4.09208564e-03 1.53476015e-01 1.97291717e-01 -2.18757167e-01 2.31127115e-03 8.39897839e-04 7.90395401e-03 2.23668385e-02 1.16552576e-01 -1.57981277e-01 -1.21011278e-02 1.85017481e-01 1.97748956e-03 -5.53398952e-03 -4.40580491e-03 -1.99169531e-01 9.95917469e-02 1.06696419e-01 9.01189968e-02 1.88210979e-02 3.51921818e-03 1.56357467e-01 5.67849837e-02 -2.05175698e-01 8.73352215e-03 1.04540531e-02 -1.23449517e-02 1.84639424e-01 8.42440128e-02 -1.58104494e-01 -6.30730763e-03 -6.74162284e-02 -2.80527901e-02 1.76858738e-01 -1.70996085e-01 -1.77861020e-01 1.41806854e-02 1.28426142e-02 -4.50857542e-02 2.36593094e-03 1.67234754e-03 -1.33830056e-01 -1.30876973e-01 1.78380311e-01 4.50919295e-04 -4.88921162e-03 -1.62837766e-02 8.90357196e-02 1.33040294e-01 -1.44622074e-02 -9.20618251e-02 -3.40026617e-02 8.86386540e-03 9.48935002e-02 1.49655249e-02 9.85743463e-06 1.50018260e-01 1.17634133e-01 -1.61286350e-02 5.96106099e-03] [ 1.03238784e-02 -1.58991575e-01 6.00168444e-02 -7.13325739e-02 6.93823257e-03 -1.90679508e-03 -8.30625370e-02 7.24089742e-02 2.13637184e-02 -8.80398031e-04 -1.91842854e-01 2.41582585e-03 2.02942290e-03 1.15537100e-01 -7.22450092e-02 -1.96891129e-02 1.45759052e-02 -7.36283883e-02 1.95813641e-01 5.79677522e-02 -6.07332587e-02 -1.94885954e-01 3.03365663e-02 -7.88524523e-02 2.30094325e-02 -7.30513968e-03 8.16617087e-02 3.33890459e-03 -1.31527543e-01 -1.11927547e-01 1.19222693e-01 1.07389607e-01 -6.48968527e-03 -1.17782634e-02 1.33340349e-02 1.86055005e-02 2.66001690e-02 -1.90489367e-01 -5.49311424e-03 -2.47800108e-02 3.00303362e-02 -9.61542688e-03 -8.92894517e-04 2.16775062e-03 -1.66886091e-01 1.25400275e-01 -1.03685170e-01 6.20954763e-03 4.50234581e-03 1.68597214e-02 3.36179999e-03 1.02373278e-02 -1.20288273e-03 3.07805697e-03 8.36852938e-03 1.86116584e-02 -1.88750014e-01 -5.00666164e-03 2.30578193e-03 -1.99471856e-03 1.40380919e-01 -5.35863042e-02 8.13464150e-02 1.28847873e-02 1.31185889e-01 1.29125923e-01 -6.63253199e-03 1.12725519e-01 8.68294295e-03 1.99426920e-03 1.37662098e-01 -2.07535014e-01 1.69480627e-04 1.05317694e-03 1.08181797e-02 1.89903043e-02 1.94392547e-01 -6.33431822e-02 9.04679357e-04 5.90764545e-02 -6.60879957e-03 -3.97597477e-02 5.65164862e-03 -1.61221087e-01 1.23347484e-01 -4.84855659e-02 -7.34025100e-03 8.96902382e-03 7.73030054e-03 1.83451518e-01 -4.93469741e-03 -1.28943488e-01 -7.67802587e-03 4.85338597e-03 -3.33414087e-03 1.78883746e-01 6.02979660e-02 -1.80284977e-01 5.94425073e-04 6.47390261e-02 1.93542212e-01 1.01288393e-01 -1.64593846e-01 -1.71947524e-01 1.03311297e-02 4.40646196e-03 1.45564094e-01 3.71035421e-03 4.50526364e-03 -1.85172677e-01 -1.01424985e-01 7.67758787e-02 7.44838547e-03 -1.86381806e-02 4.16084640e-02 1.03112496e-01 1.39145240e-01 -7.84577988e-03 -1.48632387e-02 1.49176363e-02 3.03362962e-03 1.84693664e-01 -3.60118016e-03 -2.61854175e-02 3.81042175e-02 8.55852887e-02 -6.20674603e-02 5.18934987e-03] Cos Similarity tf.Tensor(0.73678005, shape=(), dtype=float32) (128,) (128,) [-0.06702385 -0.13399637 -0.07323796 0.04037485 -0.0256503 0.00249627 -0.18197079 -0.19950011 -0.00779069 -0.00314872 0.00458271 0.00191125 0.0109466 -0.14151105 0.10235499 0.04848145 -0.01389729 0.19719149 0.17376155 0.0660174 0.04909307 0.13546102 0.12813622 -0.08610691 -0.0009232 -0.00534933 0.01952245 -0.00116772 0.15665364 0.00482866 0.1317732 -0.14759067 -0.02933296 0.00847082 -0.09263891 0.00406665 0.00158187 -0.00766413 -0.01645979 0.05221183 0.11414473 -0.01071779 -0.00994372 0.03412287 -0.14904167 -0.09322201 0.12194589 0.00839301 0.01897616 0.01242553 0.00727997 -0.00239186 -0.00040925 0.00700781 0.00218641 0.01136584 -0.0901723 0.00699616 0.01998715 0.00355872 0.05949604 -0.14328633 -0.12473997 -0.01269262 0.2027566 0.04627686 0.01367343 0.09590553 -0.00414152 0.1005843 -0.02382089 0.1550937 0.00997575 0.01811191 -0.00722293 0.0235379 -0.11292383 -0.09974752 -0.01013338 -0.036653 0.01580421 0.00409614 -0.01127009 -0.09033871 -0.17940016 -0.03489286 -0.16832817 0.00992988 -0.00251849 0.107915 0.09418886 -0.1821378 0.00395534 0.01708357 -0.04106123 0.04539597 0.1356776 -0.19742152 0.01972795 0.04187607 -0.09902357 -0.12985775 0.16524836 -0.14135832 -0.00920283 0.00123424 0.18146206 0.0397996 0.00545673 0.05744081 -0.18653242 0.07940912 -0.00197524 -0.06463398 0.10984268 -0.12821095 -0.1622022 0.00224114 0.16536784 0.01049688 -0.01208397 -0.11111544 0.03619867 -0.00173501 0.07517638 0.01998997 -0.0017235 -0.00657136] [-6.36529922e-02 1.02877870e-01 -8.69664326e-02 7.26627707e-02 -1.13696624e-02 6.20154850e-02 -1.96217403e-01 -1.88427880e-01 -1.16913794e-02 -8.09334219e-03 -7.63270780e-02 -1.19155608e-02 6.54143700e-03 -1.05702639e-01 3.05063128e-02 1.29696444e-01 -6.53929682e-03 1.85559556e-01 2.01893732e-01 7.83591345e-02 -1.16434053e-01 1.09512702e-01 1.32337600e-01 1.29407197e-01 -1.54028775e-03 9.74788796e-04 2.28489190e-02 -6.21059863e-03 -1.65723935e-01 1.99093018e-02 1.29941866e-01 1.14604101e-01 4.50614886e-03 -1.24133090e-02 -1.99782830e-02 1.32462010e-02 -1.65588968e-02 3.07635758e-02 -1.58837167e-04 1.02295056e-01 1.09325871e-01 -5.55618247e-03 -9.56481881e-03 2.87487218e-03 3.63410972e-02 -1.95492372e-01 1.30902112e-01 -4.04734659e-04 6.43599080e-03 -7.73100089e-03 8.74464959e-03 -2.29508849e-03 -2.59949509e-02 6.64533488e-03 -4.43636160e-03 -3.65188607e-04 -1.58880085e-01 2.12482666e-03 1.32412091e-03 -1.50682339e-02 -8.56373981e-02 -1.43967390e-01 -2.37534121e-02 -1.35163581e-02 1.56601831e-01 1.99591070e-01 -7.14221736e-03 1.30815223e-01 -1.83407087e-02 1.90428898e-01 -1.19539713e-02 1.80149853e-01 3.01070837e-03 3.01545858e-03 -4.26484877e-03 1.77677013e-02 -1.77038431e-01 -1.68453529e-01 -1.09523209e-03 1.26877412e-01 -6.08273374e-04 6.61895284e-03 -3.97480559e-03 -9.00714025e-02 -1.44881770e-01 1.29969910e-01 -1.13145344e-01 6.91099372e-03 -7.86591042e-03 1.17879122e-01 8.35958719e-02 -8.73701833e-03 1.28952526e-02 4.36884491e-03 -2.29068566e-02 -9.29914191e-02 9.39256251e-02 -9.54924300e-02 3.05218599e-03 1.75539795e-02 -1.97065488e-01 1.32410496e-01 2.81303581e-02 1.04681388e-01 2.31534330e-04 -3.11633130e-03 1.37499437e-01 3.54639217e-02 -1.60855334e-02 -9.60775167e-02 -1.05877683e-01 1.06783256e-01 -5.17318025e-03 -1.33939281e-01 9.00094863e-03 1.23445742e-01 -3.72735672e-02 9.81459045e-04 1.05342992e-01 -3.55223380e-02 3.35345534e-03 -1.39860630e-01 1.58868916e-02 -2.86848098e-03 6.77055854e-04 -5.92498051e-04 4.07732911e-02 -4.20160638e-03] Cos Similarity tf.Tensor(0.55368584, shape=(), dtype=float32) (128,) (128,) [ 1.67931333e-01 8.05871412e-02 -5.18467426e-02 1.73431709e-01 -2.08049659e-02 -5.20579284e-03 4.22893204e-02 -2.09009051e-01 9.99697950e-03 -1.02862706e-02 2.82859560e-02 -8.41791555e-03 1.00050047e-02 -1.36631399e-01 -5.25530986e-03 1.39397636e-01 -5.79192769e-04 -7.88925290e-02 5.09309918e-02 -1.62741132e-02 -1.44280776e-01 -8.23917985e-02 -1.10699810e-01 -8.39908421e-02 7.57790590e-03 7.50968000e-03 -1.78644657e-01 4.79619903e-03 -1.17039591e-01 6.69068769e-02 1.30557716e-01 8.85057747e-02 1.46696214e-02 -2.27413159e-02 -1.54991508e-01 2.52426080e-02 -2.19309665e-02 -2.04707712e-01 8.65126867e-03 -9.85886529e-02 1.14525728e-01 9.30459145e-03 1.78768637e-03 6.51618093e-03 -1.20720267e-01 -4.57074121e-02 1.64838374e-01 4.68824664e-03 1.28592150e-02 6.20854087e-03 6.43585995e-03 -3.02567991e-04 -1.28661655e-02 -1.35501366e-04 -6.91599865e-03 -1.20941615e-02 -4.34125215e-02 -1.47394207e-03 6.48086984e-03 -1.08262114e-02 1.30312160e-01 -4.72243235e-04 1.54200524e-01 -3.83200943e-02 -7.13210776e-02 5.95427044e-02 -8.14881269e-03 4.98554148e-02 -2.68211495e-02 -1.61614925e-01 -2.40390394e-02 -1.89580515e-01 -5.10117924e-03 -4.37699119e-03 -1.27547802e-02 1.18433321e-02 6.68774024e-02 1.11538269e-01 8.71790294e-03 -1.35208756e-01 -2.77504022e-03 -6.03934973e-02 -4.63115983e-03 1.84159651e-01 -1.05350494e-01 1.56993285e-01 -1.86495036e-01 6.78558042e-03 7.70429790e-04 2.04867162e-02 -1.85490906e-01 2.00081229e-01 -4.08200966e-03 -4.09567216e-03 -5.48336189e-04 -1.37709513e-01 -1.12669267e-01 4.43840288e-02 -6.50484208e-03 -9.04597268e-02 1.51135430e-01 1.47506937e-01 1.42293036e-01 1.38289526e-01 3.58323450e-03 1.01015633e-02 2.54390668e-02 1.88121479e-02 -7.02636130e-03 1.54837161e-01 4.22407463e-02 8.34726766e-02 -9.63676441e-03 6.94819242e-02 -1.92890186e-02 2.12650016e-01 1.52237639e-01 -3.94732039e-03 -1.02766361e-02 -1.70542449e-02 7.02842092e-03 4.16211188e-02 2.13085599e-02 4.35954332e-03 -8.43736827e-02 -9.42744408e-03 -4.74258047e-03 -1.10914009e-02] [ 0.07374791 0.07079962 0.02830055 -0.0319231 -0.01915395 0.00977697 0.10853901 0.00094922 -0.01340287 -0.00573604 -0.14912555 0.0031292 -0.00496101 -0.079978 0.08226202 0.13743445 0.0040368 -0.18815005 -0.04875766 0.10847238 -0.13957278 -0.08793506 0.08065999 -0.01343054 -0.06101144 0.0095459 -0.08306947 -0.02995964 -0.1402835 0.14112298 -0.2165713 0.11466786 -0.00554761 -0.00527707 0.18798293 0.01597932 -0.03535304 0.08503082 0.01029311 -0.17210619 0.2146255 0.00598239 -0.00846823 0.01230414 -0.04753565 0.04362224 0.0903535 0.01471035 0.01572782 0.00492277 0.01567207 -0.00023322 -0.01331777 0.00630275 0.00113165 0.01941743 -0.02237098 0.0121583 0.01010325 -0.00218267 -0.09281449 -0.2099833 0.09031149 -0.01616643 0.05380856 0.13985786 0.00588968 0.17823967 -0.00509793 -0.08555731 -0.11078889 -0.177168 0.00735269 -0.00826722 -0.01825278 0.03107248 -0.12593396 0.10216091 0.00031712 0.12972392 0.00197101 0.00319281 0.01048326 0.16364543 -0.0314787 -0.12971367 -0.19533527 0.02150799 0.00432776 -0.06090862 0.00112787 -0.12305375 -0.00301925 0.01489558 -0.0059477 0.10101134 0.03692553 -0.20537174 0.00493603 0.14232689 0.21731085 -0.1481098 0.11977606 0.1698049 -0.01533001 -0.01544386 -0.13175216 0.01488898 -0.00315723 0.13878366 0.03764376 -0.11665095 0.00496204 -0.03618515 0.03961005 0.04658731 0.13416699 -0.02375279 0.02002024 -0.03594942 -0.00980464 0.05927298 0.02382579 0.00151865 -0.06998798 0.03693538 0.06103551 -0.00263724] Cos Similarity tf.Tensor(0.24242029, shape=(), dtype=float32) (128,) (128,) [-1.68558341e-02 1.53647214e-01 -1.73560325e-02 1.13908380e-01 5.36972610e-03 7.82151371e-02 1.05304129e-01 -3.91736552e-02 7.09307089e-04 -7.58556742e-03 1.94335580e-01 -1.92433235e-03 9.02721565e-03 1.23359703e-01 1.44898638e-01 1.07956782e-01 -3.00255558e-03 1.71435520e-01 -1.22108914e-01 -8.68231952e-02 -1.82992578e-01 1.39826626e-01 3.08005307e-02 1.35041356e-01 1.76021252e-02 3.06824897e-03 1.80552155e-01 9.93902143e-03 -6.50284439e-02 -6.26226561e-03 1.79702953e-01 1.86614260e-01 -1.70262922e-02 -4.21510963e-03 -1.78917065e-01 1.19799026e-03 1.48561299e-02 1.66928038e-01 -2.52821977e-04 2.82845867e-04 -3.29208151e-02 -5.10028144e-03 -1.86189741e-03 -4.73495713e-03 -3.09544121e-05 -1.54557362e-01 -6.14057444e-02 -7.64364377e-04 4.23154281e-03 -1.07230218e-02 -4.64049190e-05 3.86974518e-03 1.40949001e-03 8.13201629e-03 1.31392442e-02 6.24124007e-03 1.97631404e-01 -4.19362448e-03 4.14190814e-03 -1.65184122e-02 1.71857968e-01 -9.53770652e-02 1.02740772e-01 -7.18711934e-04 3.34416749e-03 6.98686689e-02 -4.94053634e-03 1.40005395e-01 -1.47035848e-02 -1.18732629e-02 -1.21008442e-03 -1.89567327e-01 3.90176923e-04 -6.14193920e-03 1.35227718e-04 1.18814642e-02 -1.22103348e-01 -9.13877189e-02 8.57046433e-03 -3.40958424e-02 6.83038088e-04 -5.96000953e-03 -2.89304211e-04 -3.92389931e-02 5.98234795e-02 -1.46001637e-01 1.10485494e-01 9.42504127e-03 -6.95292931e-03 -5.84472083e-02 -1.09010838e-01 -1.77664459e-02 -9.91560705e-03 1.47706335e-02 5.02579729e-04 1.90976083e-01 -9.49134585e-03 -9.47879255e-02 -2.58217286e-03 3.38549688e-02 1.96902841e-01 5.76949567e-02 -1.89370885e-01 1.64332595e-02 -7.57663092e-03 1.65181551e-02 7.37103969e-02 -3.09644639e-03 -5.75164100e-03 1.72215730e-01 9.20316353e-02 7.00468272e-02 -7.20259221e-03 2.24106405e-02 1.24724157e-01 1.78135008e-01 1.32368624e-01 -1.29122473e-03 7.25272000e-02 -1.95633881e-02 4.47968414e-05 1.80002585e-01 -6.48255972e-03 -1.92795210e-02 -1.82534292e-01 1.15594910e-02 1.85308103e-02 1.42906187e-03] [ 1.20132165e-02 -1.55207098e-01 -8.88509899e-02 1.86853707e-01 5.03408071e-03 7.71202967e-02 1.18178561e-01 -3.26650664e-02 1.89245693e-04 -8.82176310e-03 8.00609440e-02 2.58385972e-03 5.21949818e-03 1.92344218e-01 2.76604239e-02 -2.52811797e-02 -2.53668660e-03 1.02770917e-01 9.03564245e-02 4.86678025e-03 -2.25194334e-03 1.17292151e-01 1.81787670e-01 1.62271276e-01 1.51658468e-02 6.00555912e-03 2.22731680e-01 2.51594139e-03 3.35852802e-02 -2.97450945e-02 -1.23389527e-01 1.31564036e-01 -2.42655575e-02 -4.28168772e-04 -1.84930623e-01 -3.36979888e-02 7.73747452e-03 -2.67199781e-02 -9.53292649e-04 1.27498507e-02 1.77097544e-01 -8.20235722e-03 -8.65827431e-04 -1.18094916e-02 8.76531899e-02 1.29099749e-02 6.78222701e-02 -5.28126163e-03 1.21803978e-03 -1.54006656e-03 -8.14683619e-04 7.68938661e-03 -1.61621049e-02 6.42496347e-03 1.67771650e-03 1.10810874e-02 2.00251356e-01 -5.84443985e-03 3.21292598e-03 -1.61128473e-02 2.48425975e-02 -6.85287267e-02 9.65321139e-02 7.54226325e-03 -2.00495064e-01 -1.13420688e-01 -4.71671857e-03 1.53393894e-01 -6.91426871e-03 1.16671443e-01 -7.29888082e-02 -2.09953904e-01 2.78902706e-04 -2.04899022e-03 7.84494169e-03 1.03858253e-02 -1.52515650e-01 4.87578548e-02 5.44893416e-03 -3.26762386e-02 -3.94986989e-03 -6.73766248e-03 6.35824213e-03 -7.28580505e-02 -1.63945198e-01 -1.15175515e-01 1.53800488e-01 1.17493495e-02 -1.45318704e-02 -3.90360318e-02 -2.93556154e-02 -1.89456627e-01 -1.37069263e-02 1.16349943e-02 -4.68419566e-05 2.14594394e-01 9.79116410e-02 1.05117559e-01 -3.20785504e-04 3.01766545e-02 2.08890289e-01 -3.49522494e-02 -1.39707193e-01 5.30754738e-02 -9.35813133e-03 2.43220516e-02 -4.68785502e-02 -3.78053612e-03 -6.92796102e-03 1.32996470e-01 1.69591606e-03 6.86289370e-02 -9.80492961e-03 3.53507139e-02 6.09776787e-02 1.75215766e-01 1.81997404e-01 9.31363553e-03 -8.83989483e-02 -3.38608995e-02 -1.77101349e-04 -6.53925240e-02 -6.20190194e-03 -4.00050431e-02 -1.87541202e-01 -1.57689899e-02 7.51358876e-03 3.53900745e-04] Cos Similarity tf.Tensor(0.53560436, shape=(), dtype=float32) (128,) (128,) [ 1.28142864e-01 1.36349738e-01 1.13830097e-01 1.51678100e-01 5.01377182e-03 -1.74878705e-02 -1.85698643e-01 -6.23949990e-03 1.37121361e-02 -1.28031913e-02 2.84183938e-02 3.98748263e-04 2.04997994e-02 1.88800067e-01 -4.73401509e-02 1.73728421e-01 8.34202580e-03 9.93769150e-04 -2.70363297e-02 1.46749228e-01 -1.77067906e-01 3.24929468e-02 -1.57667950e-01 -6.21523187e-02 8.39613378e-03 1.52264300e-04 1.12919308e-01 1.62463877e-02 1.84009656e-01 8.53563696e-02 1.28710255e-01 -4.08975258e-02 1.24961846e-02 1.80571247e-02 6.83165863e-02 3.58651653e-02 9.18665063e-03 9.70525742e-02 9.11981624e-04 -1.11514144e-01 -8.81747976e-02 -2.34140083e-02 4.48774593e-03 -3.60078807e-03 1.24135651e-02 -1.40103489e-01 -1.19930930e-01 2.01143622e-02 9.38060880e-03 4.60467441e-03 -5.52827900e-04 5.57093229e-03 -9.29470081e-03 6.67113066e-03 7.40920566e-03 -1.11062091e-03 4.91362661e-02 -3.25270882e-03 6.14119973e-03 -1.95887107e-02 -9.58589315e-02 1.42395543e-02 -1.53011590e-01 -1.61489621e-02 -5.71591333e-02 -1.12096325e-01 2.27595936e-03 -1.22645311e-02 -5.92032727e-03 -7.91820604e-03 1.01405039e-01 -1.78493187e-01 -6.43498404e-03 7.71946972e-03 1.88786909e-03 1.32103693e-02 1.48663610e-01 -1.18351057e-01 2.50775157e-03 1.36109933e-01 -1.87853724e-03 -1.54458708e-03 -5.10911085e-03 1.54113188e-01 1.66779265e-01 1.64794818e-01 -9.37737077e-02 7.08045065e-03 2.01055571e-03 -1.58839256e-01 4.27431054e-02 -1.35392249e-01 1.51334808e-03 3.66965984e-03 4.43228986e-03 5.06780036e-02 -5.31206988e-02 -1.83021143e-01 -7.86013785e-04 -1.06777176e-01 -1.60022750e-01 1.64291263e-01 -6.92898706e-02 -1.01753421e-01 -1.67541914e-02 7.24635087e-03 1.61025658e-01 1.04844142e-02 -7.29119685e-03 1.84791774e-01 -1.22455448e-01 7.61373714e-02 2.11614487e-03 1.33174350e-02 -3.64112183e-02 1.55796647e-01 1.77611202e-01 -8.94373935e-03 -1.72419265e-01 -1.08231902e-02 2.35810425e-04 1.33839160e-01 6.94166077e-03 5.24362549e-03 9.94703770e-02 1.53990174e-02 8.64601415e-03 3.77688254e-03] [-7.11086318e-02 1.65717319e-01 9.97994319e-02 1.14679039e-01 1.47130035e-04 -1.33662313e-01 -1.86168656e-01 4.12371159e-02 1.15253450e-02 -5.21751493e-03 1.26475319e-01 -7.96501804e-03 1.00621227e-02 -6.10324703e-02 1.64384115e-02 1.77874193e-01 7.85988959e-05 1.82910249e-01 -1.71396941e-01 -1.74080268e-01 -1.20651044e-01 -9.51918494e-03 -1.41097516e-01 -1.13454521e-01 1.45863499e-02 2.33152532e-03 -9.70400497e-02 5.46238152e-03 1.61461130e-01 -8.86961818e-02 -8.37756395e-02 -1.19915351e-01 2.40760054e-02 1.23386923e-03 2.18265206e-01 -7.65839824e-04 1.19205927e-02 1.27726182e-01 -1.32804606e-02 1.58947464e-02 -8.73278081e-02 3.46619752e-03 6.08827453e-03 -2.95571121e-03 1.38550058e-01 -8.07018355e-02 -1.77447088e-02 -1.22088948e-02 3.38835921e-03 -1.31111662e-03 2.12904741e-03 7.25351600e-03 7.71331694e-03 1.42139439e-02 -9.59946960e-03 3.92370624e-03 -1.42657999e-02 -8.65116948e-04 -1.15625607e-02 4.68446966e-03 -1.39748780e-02 5.23637645e-02 3.67592275e-02 -8.87718704e-03 2.40481179e-02 -1.76357642e-01 6.41291216e-03 -4.30786312e-02 -1.16075380e-02 -1.25788614e-01 1.54327169e-01 -2.13709489e-01 -1.07563259e-02 -1.76400924e-03 -1.46922085e-03 1.15959020e-02 3.82017195e-02 1.51229948e-01 8.02399684e-03 -5.18638939e-02 -1.83607638e-02 -2.46151304e-03 -7.50955753e-03 1.67096481e-01 1.64062858e-01 1.82102829e-01 1.47556514e-01 2.20201742e-02 6.97802566e-03 -1.44479454e-01 4.50320654e-02 -1.68591455e-01 1.71375523e-05 3.40752793e-03 1.01045733e-02 -2.30462924e-02 4.17030603e-03 -9.95346606e-02 4.92810598e-03 1.57364458e-01 -1.33046716e-01 1.29260689e-01 6.96043819e-02 -7.72501677e-02 -2.07236446e-02 1.99694503e-02 1.98566288e-01 -7.94283673e-03 3.74208647e-03 1.34102747e-01 -5.91053776e-02 -9.54057351e-02 1.37706916e-03 -7.49891624e-02 -8.06085840e-02 9.62659046e-02 6.69120550e-02 -2.92201876e-03 7.14701936e-02 -1.13813463e-03 -7.11773057e-03 -8.39398801e-03 2.38223877e-02 2.21991744e-02 -1.71738043e-01 3.32412347e-02 -7.61990249e-02 -6.16262900e-03] Cos Similarity tf.Tensor(0.45407206, shape=(), dtype=float32) (128,) (128,) [ 5.92423379e-02 1.56414032e-01 -1.32180512e-01 3.82812731e-02 -1.99095272e-02 1.52679861e-01 -9.66103896e-02 -2.17170745e-01 -3.91784357e-03 -1.02366079e-02 -8.40953812e-02 -3.00926194e-02 -9.56331007e-03 -1.38271376e-01 8.98856223e-02 -4.23659645e-02 -1.77110336e-03 1.73616245e-01 1.96486846e-01 -1.58723190e-01 1.75398678e-01 -9.93557833e-03 8.61352906e-02 -2.11461298e-02 -3.36925499e-03 1.63072802e-03 -2.89694853e-02 6.59010047e-03 -1.26555607e-01 3.84261906e-02 1.51399985e-01 -7.66562670e-02 -1.92480150e-03 -3.62537662e-03 -3.66189983e-03 2.19858587e-02 -9.70609486e-03 -3.51369120e-02 -3.07960506e-03 -3.13261077e-02 3.46994549e-02 4.94210655e-03 -7.48299109e-03 2.78056599e-02 1.16476811e-01 6.31406307e-02 1.65117055e-01 -1.45863798e-02 1.14505906e-02 7.59764109e-03 4.10332950e-03 -2.46467348e-03 -1.98352281e-02 1.96278817e-03 -1.91282518e-02 3.17368004e-03 1.28055692e-01 -1.20941445e-03 -3.44490109e-05 -2.01939382e-02 9.83324423e-02 -8.74823257e-02 -2.95413956e-02 -1.65568423e-02 -2.16472059e-01 -4.93000858e-02 -1.37954764e-02 1.03560826e-02 -3.63079049e-02 9.39009339e-03 -1.39117405e-01 -1.07864588e-01 -1.10965297e-02 5.21375379e-03 -1.80465672e-02 -3.68039520e-03 -8.13696533e-02 -7.07316305e-03 -5.71203558e-03 -2.19436213e-01 -1.53960409e-02 9.11852494e-02 4.03241860e-03 1.86599135e-01 6.16369322e-02 -1.61341399e-01 -4.03462835e-02 4.38175956e-03 -7.84395915e-03 2.64576953e-02 -1.39114648e-01 -8.94074738e-02 -5.43494383e-03 1.25738885e-02 -1.26755359e-02 1.51325464e-01 9.78479013e-02 1.36118591e-01 -5.41613670e-03 -1.32897392e-01 1.16420135e-01 1.96566638e-02 1.57715231e-01 2.01398805e-01 -2.19830219e-02 7.34145055e-04 8.61903653e-02 2.82602588e-04 -3.42067853e-02 3.69407125e-02 -1.54116005e-01 4.39318456e-02 -1.39846969e-02 2.99976990e-02 6.10585883e-02 9.96778756e-02 -7.98599701e-03 -1.52474223e-02 -1.77691624e-01 -2.45071389e-02 -2.26331220e-04 1.92908987e-01 1.37366829e-02 5.15156845e-03 2.09058285e-01 2.38083079e-02 1.25644207e-01 -9.46933031e-03] [ 2.11141244e-01 1.72207952e-01 -3.74656692e-02 -5.63089028e-02 -8.59584752e-03 1.45319134e-01 3.16692442e-02 4.98604923e-02 5.75300399e-03 -6.82861963e-03 4.06337939e-02 -2.35822462e-02 5.21239452e-03 9.34698060e-02 8.52630362e-02 -1.29487202e-01 -2.01599710e-02 1.48372114e-01 1.92264497e-01 -2.51903255e-02 2.78307199e-02 -9.99385640e-02 -4.79236022e-02 8.12834278e-02 -1.56316105e-02 2.42038677e-03 -1.89771727e-01 -4.27771080e-03 -1.83435485e-01 7.73517489e-02 1.43313229e-01 -4.40579886e-03 4.78996849e-03 -1.19824419e-02 -3.26069631e-02 1.62257068e-02 -1.30705545e-02 1.33539429e-02 -6.61369739e-03 -4.29762043e-02 6.91767549e-03 2.18619872e-03 -8.75171856e-04 9.26171616e-03 -2.00088490e-02 4.18654419e-02 1.54196009e-01 -8.10745172e-03 3.21690738e-03 6.51837047e-03 2.19954015e-03 -2.08983407e-03 -9.45658889e-03 3.40606668e-04 -2.05041301e-02 4.50769067e-03 1.46545872e-01 -5.80599206e-03 -2.59289844e-03 -2.19075549e-02 6.04903810e-02 -9.71211866e-02 1.07220419e-01 -1.59248263e-02 -1.58895180e-01 9.80871841e-02 -1.56847611e-02 -3.09855735e-04 -1.53658660e-02 1.96137447e-02 1.01747755e-02 -2.09803030e-01 -3.76924616e-03 4.82875528e-03 -1.43779051e-02 -9.54813149e-05 -3.95296328e-02 -6.99818656e-02 -3.25580756e-03 -1.69601277e-01 -9.65752732e-03 7.89325237e-02 3.14297690e-03 1.86712652e-01 -5.35123982e-02 -7.84544125e-02 6.84359148e-02 7.85773713e-03 -5.32859797e-03 2.13661510e-02 -5.40725440e-02 2.19018847e-01 -8.80973414e-03 1.04898987e-02 -1.73864421e-02 2.29864627e-01 1.68307975e-01 -9.92198139e-02 -1.65271107e-02 9.25759897e-02 -1.56300500e-01 3.67211178e-02 6.28119856e-02 1.24677196e-01 -1.50197577e-02 1.33614137e-03 1.83811277e-01 2.05702316e-02 -2.85725519e-02 2.21477807e-01 -1.00347452e-01 2.10207388e-01 -1.48848807e-02 3.68638262e-02 5.45648485e-02 -4.54025250e-03 1.46698147e-01 -7.03026028e-03 -1.38299868e-01 -1.83517039e-02 1.29937404e-03 4.83895205e-02 1.12668956e-02 -2.16066651e-03 1.88462123e-01 -1.02009205e-02 1.35585502e-01 -5.15052676e-03] Cos Similarity tf.Tensor(0.54673755, shape=(), dtype=float32) (128,) (128,) [ 0.07046012 -0.19098842 -0.09190739 0.04307484 -0.01525887 -0.01846936 -0.03109463 0.00892818 0.00955702 -0.00423498 0.16666108 -0.02649199 0.01724736 -0.05054419 0.05338262 -0.16363311 -0.01208746 0.094675 -0.10677847 0.1158029 0.02661173 -0.2032181 -0.15261309 0.2092583 0.01120166 0.00664885 -0.13699202 0.00161831 0.03266355 0.06280139 0.15460834 -0.17313948 0.01572912 -0.02776781 -0.17426127 0.02956828 -0.00795014 -0.16663615 0.00646299 0.13865945 0.14222263 -0.00406493 -0.00562957 0.01318549 -0.10834382 -0.11219787 -0.15339619 0.00924733 0.01787556 0.02049535 0.00140065 -0.00054474 -0.01906188 0.01068707 -0.00990962 0.00128935 0.04903584 0.00548365 -0.0038403 -0.00971043 -0.04310431 0.07330716 0.24935867 -0.0100584 0.10196372 -0.03601354 -0.01557115 0.10340238 -0.00722858 -0.04211303 0.01137229 -0.16648878 -0.00665448 0.00456859 -0.02048744 0.02008199 0.04328289 0.03689225 -0.00572403 0.13292822 -0.0018618 -0.02879112 -0.00667383 -0.00401038 0.19175069 -0.15178692 0.19078618 -0.00410239 -0.00585338 0.07860284 -0.04609497 0.21719043 0.009829 0.00545382 -0.00087822 -0.07833871 -0.11526152 -0.23410745 0.00025699 0.08928349 -0.14173932 0.00310131 0.16297004 -0.03974821 0.0052611 -0.00838697 0.04625657 0.05318793 -0.00133227 0.11404452 -0.02929326 -0.07414412 -0.01874362 -0.03058412 0.07800321 0.12794666 -0.09653652 -0.01011538 0.08467074 0.00328284 0.00322309 -0.1250514 0.01472688 -0.00999873 0.00051881 0.07361798 0.00957653 -0.00615296] [-0.02810547 -0.06536954 -0.10207371 -0.16648504 -0.00538194 -0.00478822 0.06486876 -0.19553603 0.00075171 0.00285145 -0.10788789 -0.00118389 0.02232581 -0.10217604 0.0029991 0.1100466 0.00618442 0.14650296 -0.04757982 0.1442449 0.00914239 -0.05595344 0.02817517 0.18307306 0.00101455 0.01203055 -0.07048959 0.00452284 -0.00766568 0.07726371 0.1763897 0.13818459 0.01523966 0.00033066 -0.05480863 0.06503575 0.00141506 -0.06321963 -0.00915599 -0.00870171 -0.091584 -0.0084907 0.00374115 0.01944833 -0.09581058 0.03610199 -0.07903904 0.00842468 0.02058371 0.02330061 0.00796457 -0.00273105 0.00199229 0.0057638 -0.01508573 0.0002634 -0.15389161 0.00610936 -0.00287615 0.01539161 0.0653008 0.00529437 0.18276228 0.0068001 -0.11430392 0.019497 -0.00371947 0.05929571 -0.01082308 0.03827284 -0.10433961 -0.16115886 -0.00215293 -0.0015029 -0.00726465 0.0221312 -0.15336683 0.02506763 0.00056218 0.20168881 -0.00333102 -0.0731992 -0.01369786 0.20708339 0.20001335 0.09704283 -0.06322529 0.0039037 0.00077163 0.14870341 -0.10469588 0.14949955 0.0094749 -0.004899 -0.01678561 -0.1717247 0.00146602 -0.22419155 0.00929143 0.20538084 -0.04414384 0.19241872 -0.01082152 -0.16646318 0.00245972 -0.01036875 0.16696632 0.02062176 -0.00289213 -0.152544 -0.15800025 0.1481769 -0.01453764 -0.04525956 0.06175466 0.14054695 -0.12829506 -0.01282472 0.12863481 0.00972814 0.00176227 0.08245489 0.02966161 0.00047565 -0.03692115 0.01269779 0.040173 -0.00254986] Cos Similarity tf.Tensor(0.36291343, shape=(), dtype=float32) (128,) (128,) [ 0.04721497 -0.19284074 -0.03701577 0.20471393 0.00178479 -0.03934795 0.06043897 0.17931058 0.00905006 -0.00136106 -0.07472023 0.00194631 -0.00968464 0.02873308 0.10434441 0.10392041 0.00669308 0.13458757 0.07811712 -0.16852596 0.09700972 -0.15251157 0.15294452 0.05999677 0.00081266 0.00771942 0.16376618 0.01406623 -0.1535682 0.19964997 0.21395375 -0.15751156 -0.00737855 -0.04246685 -0.1589001 -0.03034831 -0.00140868 -0.00408397 -0.00578723 0.16425373 0.21221727 0.01992732 -0.0100317 0.01560313 -0.18679076 0.1023788 -0.06686056 0.01430158 0.01754798 -0.02236223 -0.01224125 0.00834596 0.00694599 0.00368096 0.01674171 0.00187914 0.17784503 -0.00182628 0.00919046 -0.00388373 -0.20346372 -0.03307584 -0.02445473 -0.02732786 0.13260643 0.03764745 -0.00288328 0.0735766 0.02094302 0.02019604 0.06390297 -0.04435316 0.00457779 0.01087933 0.00021417 0.01423608 -0.01224725 0.06900232 0.0100178 -0.17979282 0.00090056 0.07308128 0.01085108 -0.01364004 0.13556746 -0.07206762 0.0594399 0.01248528 -0.0009428 -0.06504249 0.149249 -0.08834359 0.00748911 0.00659174 -0.00424014 -0.10663516 -0.11025258 -0.00329974 -0.00412818 0.04602869 -0.02378212 -0.04404563 -0.14718528 0.00715835 -0.00302691 0.00359529 0.00096307 -0.0114507 -0.00844216 0.1736932 0.01301471 0.18606167 0.0210977 0.18629524 0.07354672 0.03284158 0.13500908 0.00869869 0.11837285 -0.02246774 0.00275427 -0.13889037 0.01949997 0.00053712 -0.05355456 0.02146334 0.03754269 0.01127948] [ 9.81793478e-02 -1.52210549e-01 3.90613265e-02 -1.06949478e-01 5.18616114e-04 4.00232412e-02 1.83686793e-01 2.01926976e-01 3.60477204e-03 -8.56900369e-05 -6.56754449e-02 -1.09237088e-02 -3.02373730e-02 1.16883330e-01 2.57472228e-02 3.72595377e-02 -4.38581128e-03 9.28495601e-02 -1.62319377e-01 -2.06319422e-01 2.17923835e-01 1.80656165e-01 1.37010634e-01 9.16534141e-02 -1.40573559e-02 4.45635337e-03 2.13515505e-01 -2.42745951e-02 -1.62151262e-01 4.70501445e-02 -1.10435575e-01 8.72567575e-03 -6.84904912e-03 -2.09981296e-02 7.01219812e-02 -3.03355623e-02 -2.97306627e-02 7.39520863e-02 -8.33932310e-03 -1.05171032e-01 1.80676579e-01 1.63491331e-02 4.32709977e-03 3.19003058e-03 2.21877337e-01 7.15025589e-02 -1.24930561e-01 2.45721526e-02 3.25599639e-03 2.19948869e-02 -2.06637592e-03 1.21458364e-03 4.82517155e-03 -5.63042285e-03 -3.88726243e-04 1.12655507e-02 -3.41030918e-02 -1.47310346e-02 2.65513500e-03 -7.85975251e-03 -2.35312641e-01 -8.65200907e-02 -8.04093704e-02 -1.08989440e-02 -1.09582476e-01 1.87485024e-01 -2.50727008e-03 9.90985483e-02 -4.18644724e-03 2.19152384e-02 5.20493686e-02 -7.17671216e-02 9.18936357e-03 1.91326672e-03 1.78961759e-03 8.78571905e-03 5.18469699e-03 2.19810233e-02 2.14678096e-03 -2.13705286e-01 -9.06881317e-03 9.26936343e-02 8.94186087e-03 4.90731001e-02 2.39099450e-02 2.10897237e-01 -9.00545940e-02 9.74678621e-03 -1.13672428e-02 -7.15844333e-02 3.66681628e-02 5.08124158e-02 9.66399256e-03 9.62621253e-03 2.59635318e-03 1.42087013e-01 -3.83367464e-02 2.71799006e-02 -7.15886755e-03 -1.13068141e-01 -1.33138578e-02 -1.50818080e-01 -9.50853620e-03 1.54773593e-01 -4.59695468e-03 3.43772979e-03 -1.56152621e-01 -7.94647355e-03 -3.08573805e-02 8.96181315e-02 5.22219902e-03 -7.04549532e-03 -1.10939313e-02 1.31970778e-01 7.59432539e-02 -1.21957317e-01 5.46524748e-02 -8.45110137e-03 1.04099751e-01 -3.66954878e-02 2.59608054e-03 -1.19238392e-01 1.93199329e-02 -1.88868362e-02 -8.87747779e-02 4.48883548e-02 8.13586488e-02 -3.73708596e-03] Cos Similarity tf.Tensor(0.3246223, shape=(), dtype=float32) (128,) (128,) [ 0.13928369 -0.17276596 0.015553 -0.03654149 -0.0093477 0.01126747 -0.1396209 0.11894349 -0.00451184 -0.00898891 -0.09137782 -0.00511503 0.00754485 -0.03931279 -0.04023508 0.22292961 0.01367735 -0.12447842 0.09808951 -0.03256307 -0.03554877 -0.15711139 0.07963795 -0.00293322 -0.01008365 0.00419317 -0.17049651 0.01171127 0.112114 0.03576861 -0.08002964 0.0139033 0.02416977 0.01523033 0.20712532 -0.03303059 0.01028766 -0.04998886 -0.01147901 -0.17308685 0.05767666 0.0066803 -0.00101712 -0.01943534 0.1437501 -0.10084879 -0.13991377 0.01712328 0.00904586 0.02020838 0.00680668 -0.00748099 0.00067245 0.00753247 0.00556337 0.01376881 0.16714758 -0.00402445 0.00530622 0.0005525 0.0174872 0.21949035 -0.0586712 0.0058942 0.11879826 0.18772459 -0.00647274 0.03276138 0.0004633 0.02542764 0.07592694 0.16326588 0.00768095 0.02002216 -0.03363474 0.02190995 0.11918961 -0.0360634 0.01045057 -0.17851937 0.00212431 0.00439757 -0.00346695 0.08356407 -0.06352253 0.09986566 0.15092088 0.00387409 -0.00969504 0.11741699 -0.15964419 0.08122693 -0.00319112 0.01689155 0.01467422 -0.09802092 -0.14383382 -0.14019276 -0.00283241 0.16120757 0.17805909 -0.14493655 0.03022955 0.17366533 0.00070907 0.00693752 -0.21641178 0.01115563 0.01123599 0.06276554 0.0035181 -0.10450683 0.00780746 0.06045783 -0.02641238 -0.04228261 0.13082354 -0.00482628 -0.09981503 -0.01068225 -0.0170705 -0.07188848 0.03027777 -0.02105588 0.2172882 0.00488981 -0.00981651 0.00472753] [-1.89160164e-02 -6.35933653e-02 -3.10024321e-02 -1.14625916e-01 -1.40661104e-02 7.46143311e-02 5.05160727e-02 -1.99668229e-01 6.07685046e-03 -9.94230900e-03 -2.25266352e-01 -5.98803349e-03 -1.13912560e-02 5.29770516e-02 -1.14208557e-01 1.03441244e-02 -5.99492378e-05 -6.52642921e-02 1.36636719e-01 5.93874566e-02 -7.69968629e-02 5.58377281e-02 2.72458978e-02 3.42031717e-02 -2.47508045e-02 -1.55000191e-03 2.64968220e-02 -1.46875740e-03 -5.34473173e-02 1.97548553e-01 -2.11725920e-01 -7.48138651e-02 8.25900491e-03 4.15631896e-03 -2.34437659e-02 -2.45191343e-02 8.56627885e-04 -6.92622587e-02 -6.02151826e-03 -2.11737126e-01 -8.54340121e-02 -5.02597308e-03 3.68334400e-03 -5.71947498e-03 -2.80594975e-02 -8.23362991e-02 -1.63378030e-01 1.01661449e-02 8.06527492e-03 1.54708056e-02 6.25372212e-03 -2.27076584e-03 -1.21744722e-02 5.29344333e-03 -1.47522204e-02 -3.05084302e-03 8.53177980e-02 1.05423434e-02 -3.35789938e-03 4.07342473e-03 -1.68815821e-01 1.94322363e-01 -2.68935971e-02 -3.54849617e-03 -3.83025669e-02 -1.83979154e-03 -1.19516253e-02 -9.35327336e-02 -2.13570688e-02 1.44067049e-01 7.40059391e-02 1.87135115e-01 -1.52717531e-03 1.31810624e-02 -1.42324762e-02 1.04330229e-02 1.67799145e-01 -7.01203719e-02 -1.81109516e-03 -1.21864013e-01 -1.07894773e-02 -2.96648301e-04 -7.11508794e-03 8.24399143e-02 -7.03250244e-02 2.11793333e-01 1.22598372e-01 -8.21612123e-03 -4.48385160e-03 -1.24613270e-02 -1.57765865e-01 2.26476073e-01 -1.20423466e-03 1.55235371e-02 -7.27251032e-03 -8.09414908e-02 -1.59088314e-01 2.52267142e-04 -6.67959265e-03 4.08515036e-02 -3.89771815e-03 -1.71029150e-01 1.08271830e-01 -1.99390352e-01 -3.66378226e-03 -1.43588530e-02 -2.29944751e-01 4.00362983e-02 -1.04288561e-02 1.67071417e-01 -1.25363022e-01 -8.35943520e-02 -2.02160832e-02 4.79146689e-02 -4.86581400e-02 -6.01274185e-02 1.69306844e-01 -1.24996062e-02 -1.31108850e-01 -2.42190901e-02 1.13295380e-03 -1.22254223e-01 1.71707701e-02 -2.92059015e-02 2.21721083e-02 6.51974753e-02 -5.01997694e-02 -9.11303516e-03] Cos Similarity tf.Tensor(0.47759384, shape=(), dtype=float32) (128,) (128,) [ 0.03708814 -0.01727366 -0.02475457 -0.17687383 0.00239801 -0.00904735 0.03721471 0.02997548 0.00118492 -0.01364513 -0.21967185 -0.01982914 -0.00999508 0.17850526 0.04548782 -0.12402573 -0.00931996 0.01635144 0.18792395 -0.00880155 -0.11917993 -0.06795149 -0.00709211 -0.02097439 -0.00421851 -0.00173831 -0.12401664 -0.0147801 0.18225108 0.20791836 -0.10877718 -0.00294488 -0.01089405 -0.00999351 0.09257253 0.00182432 -0.00041467 -0.02745023 -0.00543592 -0.09625518 0.02978749 -0.00895038 0.00444583 -0.00703323 0.0791066 -0.14268085 0.15252548 -0.0103123 -0.0033327 -0.00401207 0.00237117 0.00352808 -0.01787561 0.0032718 -0.0024552 0.00165739 -0.17394827 -0.00513785 -0.00724523 -0.00745775 -0.09690241 -0.04317324 0.2308724 -0.01508642 0.10318138 -0.03273112 -0.00866367 -0.1583962 -0.01090818 0.15547448 -0.09404281 0.12324596 -0.00142995 0.00512102 -0.00110736 0.00279409 0.05942335 0.0684384 -0.00272708 0.11490599 -0.01097527 0.05301126 0.00879695 -0.15196057 -0.18302089 -0.17354612 -0.1481229 0.00426055 -0.00873929 0.06319299 -0.03894464 -0.03057471 -0.02147269 0.00757918 -0.0118711 0.17662378 0.11165415 0.19626138 0.00339213 -0.07924441 -0.10735105 -0.08621256 0.02802258 -0.02267212 -0.00374272 0.01155426 0.11324058 -0.00466146 -0.00720146 0.18836498 -0.10500005 0.21941987 -0.00301654 -0.11391097 0.02822347 0.1714426 0.0514396 -0.00310519 0.1419658 -0.01079467 0.00546623 0.00587148 -0.00336593 -0.01722861 0.17797567 0.03317725 0.01389349 -0.0052266 ] [-9.48460922e-02 -2.25591604e-02 -1.53453136e-02 -1.84147239e-01 -6.65488606e-03 -7.23026833e-03 1.27306715e-01 1.21392660e-01 -1.12605914e-04 -9.42310598e-03 -1.36673197e-01 -2.36452688e-02 -6.79625385e-03 1.92936048e-01 1.69710964e-02 -1.11651644e-01 -1.77419595e-02 5.46413660e-03 2.08427146e-01 1.21039711e-02 -1.29788727e-01 -3.83984819e-02 2.90806275e-02 3.25572155e-02 -2.29497049e-02 3.50665330e-04 -1.28278494e-01 -2.92962324e-02 1.48906961e-01 2.05347851e-01 -1.03530481e-01 1.08884154e-02 -9.31042433e-03 -1.06307566e-02 1.32003367e-01 1.19250650e-02 -1.42144971e-03 -1.48033509e-02 -5.61266206e-03 -1.09565541e-01 1.09080132e-02 -1.04287360e-02 -5.42640977e-04 -1.48313714e-03 -6.60369396e-02 -1.35452375e-01 1.74159348e-01 -1.42993685e-02 -2.68146978e-03 4.03376704e-04 2.37373589e-03 3.02605657e-03 -9.04876180e-03 6.71039626e-04 -5.88840060e-03 1.48752460e-03 -2.14350268e-01 -7.87580200e-03 9.19467944e-04 -1.26163671e-02 -4.25395258e-02 -1.42285824e-01 2.30270982e-01 -8.46072659e-03 1.08275466e-01 1.90543551e-02 -1.14420224e-02 -1.51043892e-01 -1.88903809e-02 7.51425624e-02 -7.89329261e-02 8.44848305e-02 -6.18706690e-04 6.02715462e-03 -4.25829785e-03 -1.87417609e-03 1.05757594e-01 4.56391238e-02 -2.58952961e-03 1.11661121e-01 -1.67749375e-02 6.55730590e-02 3.52009106e-03 -1.44269153e-01 -1.62615448e-01 -1.68256029e-01 -1.13688715e-01 4.01496887e-03 -1.04090804e-02 4.20707576e-02 -2.75157578e-02 7.25294873e-02 -2.20823679e-02 4.18229681e-03 -7.29676895e-03 1.68614164e-01 8.49346891e-02 2.18269065e-01 -4.01667459e-03 -6.15987852e-02 -6.47809282e-02 1.12135574e-01 4.53140438e-02 -1.15129493e-01 -7.19399797e-03 7.00413296e-03 1.06425166e-01 -4.67744283e-03 -1.87549926e-02 1.98165506e-01 -7.40923285e-02 2.19062507e-01 -7.65557867e-03 -5.30914962e-02 1.34777166e-02 1.84260473e-01 -6.76648915e-02 -1.07438033e-02 9.88413095e-02 -1.48760732e-02 3.51255247e-03 1.04463913e-01 -3.52831045e-03 -1.93150453e-02 1.48925647e-01 2.23008227e-02 5.00115193e-02 -1.23889698e-02] Cos Similarity tf.Tensor(0.8994492, shape=(), dtype=float32) (128,) (128,) [-2.28759870e-01 1.55912161e-01 -1.52459973e-02 -2.05953687e-01 -6.42061559e-03 -1.22137293e-01 -4.28499356e-02 4.67812419e-02 2.63785897e-03 -1.26870051e-02 -1.27084181e-01 1.63308103e-02 1.25572318e-02 1.96608871e-01 8.14495906e-02 -1.69941261e-01 -1.77160893e-02 9.77979004e-02 1.37859717e-01 8.24992266e-03 -1.70772702e-01 1.49753228e-01 -6.88721463e-02 1.73077762e-01 -1.49850165e-02 8.55539087e-03 1.35496929e-01 9.76948161e-03 -9.12151560e-02 -1.56559169e-01 -1.23637915e-01 1.35998920e-01 -1.93693396e-02 -1.09229479e-02 -2.04784915e-01 3.64065170e-02 4.81021358e-03 1.31501570e-01 -2.25872789e-02 -4.78632301e-02 -4.44902144e-02 -8.49455036e-03 -3.42256390e-03 -7.41466554e-03 1.15348063e-01 1.48904175e-01 5.49722947e-02 -1.02322660e-02 3.57474899e-04 1.77476108e-02 1.80647330e-04 6.46113511e-03 -7.50650885e-03 7.16583850e-03 9.12266597e-03 2.26323362e-02 -1.23989232e-01 -2.70239078e-02 4.03670175e-03 9.77800693e-03 5.47437221e-02 1.69507653e-01 3.37473340e-02 8.50863382e-03 3.28067206e-02 1.82834357e-01 1.13612469e-02 8.12254995e-02 8.38892709e-04 9.49702337e-02 -8.37476924e-02 -1.23916835e-01 -1.87697809e-03 2.32925080e-02 1.92516414e-03 4.20717709e-03 1.33276377e-02 -4.97531667e-02 -9.12191812e-03 -3.01350318e-02 -8.32863804e-03 -1.24583080e-01 1.39514057e-04 -2.90577253e-03 8.88588354e-02 3.54402177e-02 6.43367842e-02 1.74532011e-02 -9.87975392e-03 -2.27405682e-01 -1.79102436e-01 1.10543497e-01 -2.62691658e-02 3.08576208e-02 1.55311543e-02 4.46270294e-02 1.76386744e-01 1.15541101e-01 -6.20470103e-03 -1.09202959e-01 6.71122745e-02 -2.88000535e-02 1.47618845e-01 -1.65596083e-01 6.63971063e-03 -9.71633755e-03 1.84081998e-02 5.94833458e-04 -5.89176500e-03 1.37510791e-01 8.79983418e-03 1.35709092e-01 -1.36062847e-02 -8.90292153e-02 -6.46920502e-02 1.80263922e-01 -3.88709567e-02 -1.81061476e-02 -2.10895995e-03 -5.06428862e-03 1.08885532e-03 1.07511096e-01 7.13535771e-03 -1.99807286e-02 -2.60833781e-02 -9.06236842e-03 3.07386145e-02 -1.09726610e-02] [ 0.09272853 0.10836858 0.0521276 -0.11879278 -0.02065261 -0.12851764 0.00744825 0.11994182 -0.00210562 -0.00308657 -0.02699025 0.01218773 0.01602362 0.1140275 0.02181534 -0.1260356 0.00639834 0.11339538 0.18793982 -0.01840098 -0.0634055 0.16481644 -0.20605928 0.17065334 0.00481567 0.01206299 0.16583996 0.0167853 -0.15658063 -0.16919495 -0.18932086 0.09734431 0.01150452 0.0110017 -0.01899109 -0.00063572 -0.00896489 0.10321511 -0.01847669 0.0879041 -0.08066066 -0.00337138 -0.00463886 -0.00432935 -0.01969232 0.0611339 0.1709769 0.00174886 0.01506815 0.00267429 0.00514711 0.00280662 -0.01325331 0.01313414 0.00856622 0.01614342 0.14862716 0.01413659 0.00923137 -0.0034448 0.0820361 -0.11215331 -0.14017889 -0.00896633 0.1265602 0.07889073 0.0102985 -0.02923177 -0.00718299 0.19134751 -0.06552678 0.06447069 0.01244119 0.00145636 0.00051462 0.02459579 0.0789655 0.15410915 -0.00462487 -0.10726481 -0.00133973 0.02347638 0.00383037 0.1205166 0.13717778 -0.01546414 0.18747677 0.00998647 0.00033659 -0.09131118 -0.11285893 -0.10757883 0.01039717 0.00949215 0.01137612 -0.0271441 0.15506828 0.01207246 -0.016659 -0.10843746 0.14793198 -0.01923295 0.1465765 0.10275197 -0.00384941 0.00329781 0.09016926 0.0068321 -0.00335532 -0.08839461 -0.16372333 0.10760203 -0.02126868 0.03623708 -0.01801305 0.22160912 0.01113445 -0.00960865 0.08633061 -0.02813745 -0.00636092 0.21215756 0.01971484 -0.01479041 0.15932089 0.06045656 -0.09101228 -0.01412888] Cos Similarity tf.Tensor(0.49136478, shape=(), dtype=float32) (128,) (128,) [-0.19182917 -0.16154234 0.08023567 -0.1876189 0.00382882 0.13487065 0.08024945 0.03692264 0.01138305 -0.00443736 -0.13764064 0.0214815 -0.00770277 -0.05994087 -0.03754073 -0.03355799 0.01986188 -0.09397934 -0.08244645 -0.04427074 0.1726263 0.04161282 0.02416081 -0.09666894 -0.00863163 -0.00874933 -0.13526747 0.01302509 0.03956055 -0.13111141 0.1295263 0.0413351 -0.02205938 -0.01862127 -0.02462717 -0.01944006 -0.00223234 0.09186725 0.0210054 0.15807387 -0.1429483 -0.01516354 -0.01717282 -0.02233769 0.08263981 -0.14950357 0.12264244 0.00137076 0.01294348 0.00963846 0.01493711 0.00185846 0.01531173 0.01239303 0.01688474 0.0191567 -0.1791147 -0.01851276 0.0188287 0.00714415 0.21186799 0.06380048 -0.09252588 -0.01601209 -0.02637209 0.06970823 -0.00737593 -0.11831692 0.02513814 -0.09099955 -0.15882117 -0.14839444 0.0072337 0.01052349 -0.00958844 0.02088901 0.05604135 0.11790771 -0.00510633 0.17010354 0.01181344 -0.02176948 -0.00052002 0.17278528 0.07841512 0.16412325 0.18033884 0.02572045 -0.00387038 0.12057807 0.09242575 -0.11567809 0.01073275 0.02228859 -0.00586787 -0.05247848 -0.01573939 -0.02379194 0.00910516 0.01292702 -0.11004491 -0.1858104 0.17250617 0.00782194 -0.01591831 0.02129104 0.05591142 -0.00615751 0.00954783 -0.11818454 -0.05821724 0.11924718 -0.00470907 -0.18695627 -0.0259697 -0.17080404 0.18206164 -0.00905216 0.2144271 -0.03342487 0.01622121 0.09256866 0.03711032 0.01067226 0.01887727 0.08267193 0.00901015 0.00537127] [ 0.15315796 -0.15289186 0.09982176 -0.18767655 0.00025176 0.13989234 0.17237622 0.12905395 -0.01811281 -0.00658832 0.0425351 0.02419386 -0.01879624 -0.04977027 0.00734547 -0.07335261 0.00212033 -0.17238224 -0.02025553 -0.07825489 0.11711054 0.03906237 0.0805153 0.11633125 -0.02638228 0.00815259 -0.18978679 -0.00763406 0.09022839 -0.15151513 -0.05345735 0.11001094 0.00271665 0.00175854 -0.15359452 -0.03035105 -0.00523479 0.04920031 0.01517514 -0.07672911 -0.14062098 -0.00746779 -0.00415013 -0.02671866 0.05982607 -0.01362498 0.11050232 0.01356368 0.013205 0.02912509 0.02565196 0.0069347 0.02100709 0.01605183 0.00455018 0.01052614 -0.13913971 -0.01669397 0.00988148 0.0113624 0.18294081 -0.16216344 0.01875482 -0.01262196 -0.0207551 0.06625341 0.0038842 -0.11348525 0.02379647 -0.04773926 -0.1444948 -0.10147386 0.01888177 0.00435271 -0.0032014 0.02858944 0.09781977 0.05332797 0.00142185 0.1362387 0.00621258 -0.04038791 0.00650358 0.18852964 0.00655664 0.10874701 0.16066225 0.02222115 -0.00471543 0.18810791 0.17289664 0.04426278 0.01412237 0.0236877 -0.00220439 0.169438 -0.14953923 -0.05322095 -0.00201313 0.0501527 -0.0484505 -0.13140053 0.20654614 -0.16883108 -0.00625518 -0.00833341 -0.03997326 0.00237145 -0.00086305 -0.11579515 0.01024274 -0.03045303 -0.00222955 -0.0635908 -0.06204958 -0.07205024 0.1691305 -0.02980518 0.20721486 -0.03959087 0.02273186 0.08372585 0.04199169 0.02153284 -0.16950735 0.0881714 0.00231289 -0.00360199] Cos Similarity tf.Tensor(0.6450896, shape=(), dtype=float32) (128,) (128,) [ 0.1556528 0.04083654 0.04965861 -0.13867022 0.00063441 0.12872502 0.17848517 -0.06195879 0.01073943 -0.00342331 -0.07433785 -0.0181595 0.00267773 0.1220021 -0.14310035 -0.10297775 0.00134599 -0.10651347 -0.00662164 0.15537657 0.17744839 -0.09708578 -0.06370342 0.062814 -0.00267605 0.00652944 0.08726961 -0.00717884 0.11902635 0.11917512 -0.18899222 0.16821787 0.01589544 0.01496506 0.12194147 0.00039118 -0.00811192 0.1597521 -0.00898006 0.05163169 -0.19895172 -0.00931009 -0.00392885 -0.01397792 0.13187215 0.15830275 -0.08113687 0.01751954 0.00350394 -0.00621885 -0.00065344 -0.00044893 -0.00644938 0.00285851 -0.00191758 0.01536736 0.05932547 -0.00466523 0.00116484 -0.00703226 0.12514205 0.07481654 0.19712347 0.00237826 -0.07131638 -0.00374569 -0.00200719 0.01478618 -0.00958912 -0.0005632 0.12081257 0.0657361 -0.00221552 0.01376679 0.00380121 0.01428285 0.05607061 -0.02369099 -0.00708253 -0.17511992 0.00359099 -0.00349832 0.0058249 0.00387967 0.0467836 0.16328576 0.09234387 0.01100743 0.00261028 -0.04688013 -0.18203689 0.1632714 -0.01323079 0.00144048 0.00804545 0.13955572 0.17117436 0.00618207 -0.00132797 -0.18348654 -0.12704933 0.10248829 0.17076351 -0.07983486 -0.02230433 -0.00480732 0.05864372 0.00502635 -0.01272004 -0.00040751 0.13335307 0.19326901 -0.00145574 0.01845369 -0.0160146 -0.12415133 0.1342207 -0.00785429 -0.16341788 -0.02553807 -0.00617736 -0.06515256 -0.00892061 -0.01268817 0.18776779 0.04880106 0.00743867 -0.00936361] [-9.05401036e-02 1.10881880e-01 7.94567019e-02 4.78111729e-02 -1.40140997e-02 1.03124687e-02 -8.91948789e-02 1.74718186e-01 -1.45821050e-02 1.43423313e-02 3.68562789e-04 2.88316570e-02 2.92109568e-02 -9.23355948e-03 -4.07848060e-02 -1.80252641e-01 6.28481479e-03 1.07702039e-01 -6.41514510e-02 -1.59365967e-01 2.00612456e-01 1.26121774e-01 -3.77764404e-02 2.72663943e-02 1.13635855e-02 3.10816634e-02 8.70004445e-02 1.22603541e-02 8.69229902e-03 -1.33989930e-01 1.57529399e-01 -1.64551079e-01 8.02215002e-03 3.73146087e-02 -1.37643158e-01 1.33843981e-02 1.18670166e-02 9.64150876e-02 -5.53700142e-02 1.07874513e-01 -1.51533335e-01 2.26217285e-02 -6.98995835e-04 -1.48175480e-02 1.46299183e-01 -1.48362815e-01 -2.47160941e-02 2.39416733e-02 -1.09384465e-03 6.78256294e-03 4.08236665e-05 5.41976979e-03 2.87700873e-02 9.28893406e-03 2.88301241e-02 3.14740874e-02 -9.14708152e-02 -5.73122269e-03 2.26846747e-02 1.30775357e-02 6.48639500e-02 2.08962739e-01 1.04157738e-01 3.97901870e-02 -1.95506345e-02 -1.92253701e-02 1.69153102e-02 6.70833290e-02 1.84306707e-02 -1.99896082e-01 1.40870214e-01 2.15328392e-03 1.36872623e-02 8.88746791e-03 4.95983101e-03 4.53206412e-02 7.53703192e-02 -7.34998286e-02 -5.83509775e-03 3.31590474e-02 -2.27460377e-02 1.20732812e-02 -4.96928766e-03 -9.75702628e-02 2.22301278e-02 1.99497417e-01 -1.59183502e-01 1.94549169e-02 1.34850107e-03 3.63991852e-03 6.09762501e-03 -1.18578263e-01 1.80341788e-02 3.30921412e-02 2.44202539e-02 -6.34139851e-02 -1.09610006e-01 -1.69037268e-01 5.61102759e-03 1.98706418e-01 1.98335707e-01 1.29833296e-01 7.81873986e-02 1.58201844e-01 8.48517381e-03 -2.71173362e-02 1.56068876e-01 -1.02408661e-03 1.92097351e-02 9.21306461e-02 -1.46991119e-01 -1.57873169e-01 4.35034186e-02 6.44239187e-02 2.50066118e-03 -1.82828963e-01 -1.63285911e-01 9.11596883e-03 3.82882208e-02 2.28250511e-02 -3.44905891e-02 1.06256492e-01 3.79726104e-02 -1.22356424e-02 -1.42506570e-01 6.88738376e-02 -1.76280662e-02 -1.01198591e-02] Cos Similarity tf.Tensor(-0.14985307, shape=(), dtype=float32) (128,) (128,) [-8.63907207e-03 1.61652192e-01 2.93862261e-02 -9.14460421e-02 -2.55251024e-03 -2.18037935e-03 1.07364945e-01 -2.26459336e-02 1.58749020e-03 -7.47171789e-03 1.36852100e-01 1.29251787e-02 -2.94753630e-03 -2.85041966e-02 -3.93899009e-02 -5.13623701e-03 -1.48522072e-02 5.51378913e-02 -1.61541983e-01 1.59479529e-01 -3.25339213e-02 -2.70273108e-02 1.69178739e-01 -8.44184905e-02 1.47600956e-02 -5.74680883e-03 1.06183141e-01 -3.98992375e-02 -1.67480692e-01 1.40454585e-03 1.48731768e-02 1.44727692e-01 -1.01122278e-04 -9.02255159e-03 1.09072514e-01 -2.15500053e-02 -5.95608447e-03 -1.04696445e-01 1.80452764e-02 5.88161387e-02 1.36061296e-01 5.28469589e-03 -1.98923070e-02 -2.13180035e-02 4.60788868e-02 3.36837284e-02 -7.08891079e-02 2.90842284e-03 1.43309552e-02 5.39961457e-03 1.38698211e-02 5.28074056e-03 1.58128869e-02 3.27507104e-03 8.76947679e-03 7.80099165e-03 -2.43832394e-01 2.41207685e-02 1.24898748e-02 7.08211795e-04 1.16005167e-01 -2.16465086e-01 -1.98783934e-01 -2.39561088e-02 -8.50639418e-02 6.32005185e-02 -1.90576073e-02 -1.06730640e-01 6.89744903e-03 -1.29915848e-01 2.21325442e-01 5.07948287e-02 2.29807664e-03 7.97392055e-03 1.64238084e-03 5.36563399e-04 1.49734139e-01 1.64593495e-02 -4.45405673e-03 5.98760545e-02 -4.29084804e-03 -3.84444110e-02 -1.87591761e-02 -4.55569196e-03 1.46485204e-02 7.95498267e-02 -1.15719453e-01 1.55167701e-02 -7.55578279e-03 2.12219253e-01 -1.59545690e-01 7.62302205e-02 -1.77634005e-02 -6.68676279e-04 2.11058836e-03 -1.91283301e-01 3.46905105e-02 2.18337961e-02 -1.24377653e-03 -1.74126104e-01 1.22852884e-01 7.61069655e-02 1.90808252e-01 3.24677676e-02 -7.20207533e-03 9.65446583e-04 1.77840620e-01 6.02711039e-03 -1.78072043e-02 -1.60295010e-01 -1.75914705e-01 7.48506710e-02 8.39962251e-03 -7.68931583e-02 -6.07903639e-04 6.18397854e-02 1.59010454e-03 -4.30766447e-03 2.45944455e-01 8.85845255e-03 5.09541307e-04 7.60872290e-02 2.52469275e-02 3.06248805e-03 1.44937441e-01 5.64005338e-02 1.45393908e-01 -1.42167183e-02] [-0.129436 0.17228952 -0.01000604 -0.09993699 -0.00287819 -0.00768622 0.06708435 -0.04447163 0.00962515 -0.00586213 0.12247577 0.00877871 -0.00327899 -0.00536706 -0.07307386 0.01186937 -0.01410709 0.05794116 -0.15882282 0.1666639 -0.0320693 -0.01845982 0.15983 -0.07311662 0.01496247 -0.00504026 0.10849345 -0.04516143 -0.17311548 0.01833644 0.02761867 0.1371525 -0.01073858 -0.01350525 0.12248165 -0.01279031 -0.00495032 -0.03378844 0.01267151 0.01983411 0.13640925 0.00147093 -0.02328403 -0.01084396 0.00500206 -0.01858012 -0.08271644 -0.0069403 0.01255055 0.00604185 0.01204857 0.0051219 0.00822144 0.00295284 0.00337583 0.00157585 -0.24371862 0.00217002 0.01562833 -0.00236094 0.11745737 -0.20342097 -0.19444929 -0.02345995 -0.09539065 0.05108807 -0.02007018 -0.10421197 0.00399667 -0.12311461 0.21952794 0.0482816 -0.00077416 0.00720976 0.00094803 -0.00314339 0.15411516 0.03068153 -0.00290437 0.05484874 -0.00262871 -0.03661899 -0.02137726 -0.04854663 0.01281954 0.06140702 -0.10739244 0.01374744 -0.01018877 0.19966184 -0.13798799 0.08289977 -0.02816982 -0.00273469 0.00382768 -0.17439905 0.0384623 0.02947524 -0.00073205 -0.19789761 0.11135355 0.09468056 0.19309151 0.03107223 -0.0066527 0.00659806 0.18389627 0.01023128 -0.01598108 -0.14471374 -0.16186328 0.08996031 0.00686576 -0.15546356 -0.01245016 0.07575322 0.04245316 -0.00289301 0.2252065 0.00515508 0.00079787 0.08708579 0.02380414 0.00026395 0.14827827 0.05189442 0.16238326 -0.01500825] Cos Similarity tf.Tensor(0.97539836, shape=(), dtype=float32) (128,) (128,) [ 0.17294577 0.12032014 0.00561888 -0.13226795 0.00180727 -0.12829626 0.00606907 -0.00063938 -0.0094487 -0.001214 -0.18890253 -0.00698387 0.01714558 0.07155003 0.10742323 -0.15831469 0.02593876 0.04540913 0.16251622 -0.14669402 -0.08370554 -0.13022074 0.00569523 0.10362633 0.03417066 0.00490729 0.06469137 0.0079031 0.00746762 0.05621229 -0.09180009 0.18232848 0.01985775 0.02879417 0.00300477 -0.01262385 0.00129031 -0.13100791 -0.02466816 -0.06135218 -0.06661829 -0.01548014 0.00248656 -0.01424039 0.19602555 -0.01040063 0.12341957 0.03098892 0.01926633 0.01800586 0.00928362 0.00971589 0.00772209 0.01204367 0.02315964 0.01903503 0.04033275 -0.00750028 0.011858 0.01051442 0.02260165 -0.16145606 -0.04253142 -0.00328073 0.13151135 0.00401238 0.00519873 -0.00187541 0.00623599 0.01175683 -0.11682024 -0.08674949 0.00133107 0.00241745 0.00223436 0.00586834 -0.10880987 -0.07152833 -0.00153996 -0.18199383 0.01698761 -0.0577839 0.00809072 -0.16475159 -0.17070635 0.04358286 0.12902504 0.00848909 0.00276815 0.18563744 0.1346555 0.09069064 0.00813901 0.00898108 0.03066154 0.18114653 -0.10860093 -0.17744733 -0.00699479 -0.18208142 0.17614843 0.06581333 0.17029344 0.1077376 0.00931108 -0.01060284 0.10362157 0.01025345 0.01864195 -0.18536322 0.16186166 -0.06800056 0.02861129 0.01542161 0.02605876 -0.16519205 0.09934883 -0.00077621 0.16394521 0.00568817 0.01159866 -0.00583889 0.01870458 -0.00512625 -0.16753586 0.04450654 0.07484231 -0.00038081] [ 0.09835844 0.03713543 -0.14972742 -0.12644784 -0.02023198 -0.18178295 0.20822172 -0.19336988 0.00357053 -0.01272248 -0.03518213 0.00861486 0.01037931 0.00217433 0.03096172 -0.19991292 -0.01253534 0.17150372 0.09226741 -0.20954667 0.03779896 0.01873067 0.00093716 -0.00880409 0.01617037 0.00560836 -0.02648964 -0.0092045 -0.00563043 0.05982415 0.09883127 -0.03567081 -0.0029378 -0.04120185 -0.1192001 0.01547847 -0.01138674 -0.1692263 -0.01418563 -0.08647132 -0.15096627 0.0115467 -0.00465063 -0.0142069 0.02670898 0.01387592 0.16355656 0.00275639 0.01858444 0.02312056 0.00234524 0.00595186 -0.01708147 0.0058633 -0.03030654 -0.00771475 -0.13217203 -0.00506933 0.00367242 0.01058286 -0.08823465 -0.15091233 -0.12373259 -0.0053909 -0.06505664 -0.10820684 -0.00780848 -0.05324632 -0.02443964 0.04258778 -0.13502628 0.15183637 -0.00096864 0.00349222 -0.02233358 0.0090494 -0.14042023 -0.06719879 0.00623663 0.16743746 0.00270181 -0.02034347 0.02182925 -0.19949256 0.09312495 -0.00948944 0.00948763 0.00035978 -0.00711778 -0.14823824 -0.15208136 0.09272011 0.0153537 0.00384618 0.00335144 0.11627014 0.01108425 -0.16315477 -0.00836954 -0.18499765 -0.11237163 0.06497652 0.19511397 0.08486589 0.0069208 -0.00023161 -0.07165996 0.00774034 0.00322033 -0.07937587 0.1645508 0.18402362 -0.02267501 -0.15113166 0.08265414 -0.13371198 0.05810821 -0.00949629 0.01677646 0.00446801 -0.00457783 0.18066148 -0.00306279 0.03356821 -0.09368742 0.04401566 0.0096154 -0.02169912] Cos Similarity tf.Tensor(0.36239135, shape=(), dtype=float32) (128,) (128,) [ 4.43802252e-02 -1.24512419e-01 -1.19533194e-02 1.69376016e-01 -2.11387109e-02 1.07178070e-01 -1.41892254e-01 -4.27998789e-02 1.97286028e-02 -1.78228284e-03 -7.76762664e-02 1.12418486e-02 1.30407130e-02 -1.15413308e-01 4.51578386e-02 -2.10417267e-02 1.29904570e-02 9.53345150e-02 -1.11971609e-03 -7.79885203e-02 -6.55323491e-02 -1.76910877e-01 -2.43616272e-02 -3.97465453e-02 2.39724163e-02 6.40191231e-03 5.92495129e-02 -8.96782055e-03 -5.41731343e-02 1.45690382e-01 -1.80319205e-01 1.02755718e-01 9.61349159e-03 -1.48355141e-02 1.64727896e-01 1.18051078e-02 1.04715461e-02 -1.44695535e-01 -1.11167245e-02 -3.43237221e-02 2.33133491e-02 -6.51585357e-03 -3.91107937e-03 1.34697203e-02 -1.73245013e-01 -1.19846307e-01 3.31006870e-02 1.79592706e-02 1.23070013e-02 2.84815803e-02 1.51685905e-02 -1.92612549e-03 5.03827585e-03 1.24512706e-02 1.92363048e-04 3.95848462e-03 1.21843815e-01 4.03266959e-03 9.55619477e-03 -1.10978233e-02 -1.37414590e-01 -1.18908569e-01 1.75647750e-01 -8.60830769e-03 -1.19013414e-01 2.67141610e-02 -5.66789604e-05 1.51571378e-01 -8.44023935e-03 1.09087259e-01 4.10498586e-03 -4.35646437e-02 -7.37340748e-03 2.32421048e-03 -1.91696249e-02 1.93179082e-02 8.23558792e-02 -4.27841619e-02 -6.83558919e-03 1.99609160e-01 2.99057830e-03 -1.81492651e-03 1.23296333e-02 -1.85760379e-01 -1.37770697e-01 -5.03016673e-02 1.17060348e-01 5.40949451e-03 4.53981571e-03 -5.38643897e-02 -3.06425896e-02 1.61824867e-01 1.43303890e-02 -4.98093339e-03 7.48901721e-03 1.92643330e-01 -1.03608586e-01 -1.99128002e-01 8.71113688e-03 1.25031978e-01 1.32530972e-01 -9.12624449e-02 -1.31320521e-01 -3.58267911e-02 5.05283661e-03 -6.65679714e-03 2.05603212e-01 -8.07784498e-03 1.57806166e-02 -1.69310495e-01 -7.17672035e-02 -1.91041842e-01 -8.55788402e-03 -2.99135800e-02 3.14623974e-02 1.64493367e-01 -1.05212353e-01 -1.66127756e-02 1.60158351e-01 1.41589073e-02 1.39490347e-02 1.62012011e-01 3.01163904e-02 -2.04484463e-02 -1.94957688e-01 1.03190374e-02 -4.24408577e-02 2.80772033e-03] [ 8.46874267e-02 1.38767853e-01 -1.85028464e-02 1.68688476e-01 1.44027686e-03 -5.49586564e-02 -1.83022648e-01 7.09779784e-02 -9.28967725e-04 -8.66361242e-03 9.40633938e-02 6.05274108e-05 1.44248921e-02 8.48625675e-02 -2.22347640e-02 1.98947385e-01 -2.24057026e-03 -4.82612550e-02 -1.69810690e-02 1.82962492e-02 -1.65486097e-01 1.36547610e-01 -8.17990303e-02 -2.03549080e-02 6.19267300e-03 2.20824638e-03 8.59642550e-02 5.42378845e-03 1.84992313e-01 1.42555594e-01 1.26975060e-01 4.22455408e-02 -1.08535262e-03 1.62400380e-02 1.53583854e-01 1.21740326e-02 1.96214505e-02 5.16209975e-02 -1.47408452e-02 -1.14128590e-01 -1.40916243e-01 -1.01998094e-02 5.91228763e-03 -6.13216311e-03 -7.88761899e-02 1.88346907e-01 2.91907997e-03 -4.36766492e-03 5.41675929e-03 -6.77460898e-03 3.68700433e-03 2.47030216e-03 7.54636759e-03 5.68788266e-03 2.08633840e-02 8.57825764e-03 2.23303344e-02 -1.00594331e-02 1.11000761e-02 -4.09567170e-03 7.10593015e-02 -9.16817561e-02 1.54264435e-01 1.35654965e-02 1.50446504e-01 -6.68070391e-02 4.48756246e-03 3.62957455e-02 -5.44287078e-03 9.58309621e-02 4.30858396e-02 -1.24473870e-01 -2.43894683e-04 1.26679065e-02 1.18301529e-02 1.05316183e-02 8.46256688e-02 5.98859973e-03 -1.07738664e-02 1.85078621e-01 -1.44308011e-04 -1.47711756e-02 -6.22254005e-03 -1.11759342e-01 1.06227219e-01 2.08764657e-01 -1.42527923e-01 1.48388948e-02 3.37565434e-04 -7.28926137e-02 -1.44461125e-01 1.70328803e-02 -5.44166658e-03 1.60949305e-02 1.00817736e-02 -1.75487161e-01 -6.62953705e-02 -9.14257914e-02 3.62772308e-03 -2.14741360e-02 -1.59846842e-01 1.00219525e-01 -1.84593618e-01 -1.83106273e-01 -8.06366187e-03 -4.09902539e-03 1.34637490e-01 -7.20654055e-03 -1.19295875e-02 2.16060206e-01 9.69742537e-02 1.82133794e-01 8.97185598e-03 7.77663216e-02 -1.18814874e-02 1.80689275e-01 7.80956224e-02 -2.17832774e-02 -6.74479604e-02 4.99937357e-03 5.76584949e-04 1.49310395e-01 1.80334635e-02 -6.08461676e-03 1.67555496e-01 3.98795232e-02 -2.44291630e-02 -4.89436323e-03] Cos Similarity tf.Tensor(0.0077721253, shape=(), dtype=float32) (128,) (128,) [-2.14673858e-02 -2.29273830e-02 5.14346771e-02 -6.85673952e-02 -8.33395962e-03 9.10835993e-03 -1.78448364e-01 4.89119589e-02 -7.85354525e-03 -3.52752488e-03 1.30580915e-02 3.84088419e-03 -2.63722730e-03 1.78998053e-01 3.24683115e-02 -1.27827406e-01 -1.08843558e-02 1.89043760e-01 -9.89418700e-02 -1.70595124e-01 -4.48555872e-03 2.06082016e-01 9.98034552e-02 -4.13700286e-03 -3.76432296e-03 -6.13814127e-03 1.20440662e-01 -8.66702385e-03 1.37307897e-01 7.64408931e-02 1.43726379e-01 8.14306661e-02 -1.54014314e-02 4.72426042e-03 1.73156336e-01 -2.16428824e-02 4.37619584e-03 -8.46574455e-02 -8.62771645e-03 1.16765805e-01 -5.27431518e-02 2.20328453e-03 1.63566973e-03 -1.91912353e-02 1.95914134e-01 7.68290982e-02 -1.22286856e-01 5.36092324e-03 -2.19928188e-05 1.07739633e-02 6.25310559e-03 1.16684735e-02 2.14005052e-03 5.08771697e-03 6.57779537e-03 1.21215740e-02 8.50486010e-03 1.54617773e-02 -5.12444088e-03 -3.71589069e-03 8.50182027e-03 -3.19168679e-02 1.46530017e-01 -8.54455138e-05 -1.62861258e-01 -1.49830757e-02 -3.75155709e-03 -1.26291156e-01 -1.29820909e-02 5.61100990e-02 1.38445258e-01 6.11291006e-02 -1.05505856e-03 2.94782594e-03 1.40208285e-02 1.04745908e-04 -1.21366076e-01 -6.45548329e-02 8.91433749e-03 -8.85789320e-02 -3.97241414e-02 -2.89709121e-03 4.32111556e-03 1.27040774e-01 1.80706814e-01 2.05235109e-01 -6.40263874e-03 3.39815533e-03 -1.39635773e-02 -2.03879979e-02 2.09023222e-01 1.11428425e-01 5.51860221e-03 4.99538798e-03 1.41245397e-02 -1.54528860e-02 2.65422016e-02 1.16994768e-01 -9.52636078e-03 -1.12176593e-02 -1.90909609e-01 1.20967917e-01 -7.30896071e-02 2.34624505e-01 -1.12341922e-02 -1.11637237e-02 2.12505862e-01 -2.24712044e-02 -1.43578239e-02 1.53723314e-01 -1.45083442e-02 -9.45781097e-02 -1.08356047e-02 3.27550620e-02 4.24405970e-02 -1.39809504e-01 -1.97354376e-01 2.36426061e-03 6.07963540e-02 8.61807447e-03 3.16202221e-03 1.06081508e-01 1.47849973e-02 -1.37823969e-02 -1.82222366e-01 3.82889248e-02 -1.17918082e-01 6.58077467e-03] [ 0.05009447 -0.12709847 -0.04050336 0.18705603 -0.00884026 -0.09343048 -0.05478621 -0.20260285 0.01082542 -0.00909866 -0.09278604 -0.01748821 0.00326076 -0.0695398 0.05033509 0.17681867 0.0077874 0.17420863 -0.01399783 -0.06490556 0.09006342 0.11665309 0.01619798 -0.06038222 -0.00026893 0.0016288 0.03185466 -0.00632105 0.08609296 0.01494157 0.18657973 -0.21036258 0.01423971 0.00829143 -0.0142496 -0.0146008 0.01054751 0.06941686 -0.00591452 -0.1149331 0.07341342 -0.0011788 -0.01053261 0.00233082 0.03889734 0.18212113 0.14548361 0.01334732 0.01291385 0.01696405 0.00718385 -0.0020202 -0.00731249 0.01088483 -0.01089761 -0.00340784 0.05206138 0.00792008 0.00611145 -0.00499139 0.09758002 -0.17231329 0.20004843 -0.01305844 -0.02708524 0.19208057 -0.00152898 -0.17300776 -0.00961736 0.07189515 0.04422357 0.22447442 0.00717274 0.00884757 -0.0013534 0.00860803 0.05645647 0.01435072 0.0020154 -0.13934165 -0.01709279 -0.00395755 0.01552584 0.14476845 -0.17550799 0.20317483 0.01133107 0.00275531 -0.00141487 -0.09569596 0.01625071 -0.15271951 -0.00254948 0.01135446 -0.02760934 0.15923339 -0.01976026 0.16733503 -0.01586191 -0.10160062 -0.01253217 -0.20009089 0.04828346 0.14423418 -0.01599358 0.00912958 0.11326917 0.0300472 -0.0032379 0.13844152 -0.1467032 0.11412415 -0.00706244 0.09564771 -0.00344544 -0.07296994 0.04638344 -0.00854824 -0.13531889 -0.00736968 0.0125535 -0.13291596 0.02051465 -0.0210757 -0.08053661 0.03289676 0.00510364 -0.00548805] Cos Similarity tf.Tensor(0.19255243, shape=(), dtype=float32) (128,) (128,) [-0.2194705 0.1488704 0.01878523 0.05874076 0.03007307 0.04135957 0.1639896 0.1521529 0.00395364 0.00739132 -0.05226089 -0.02899664 0.01053899 0.10947673 0.0306299 0.19027108 0.02030847 -0.03895475 -0.19442321 -0.06566469 0.05290959 0.06880241 0.0807156 0.16473371 0.0382469 0.00671272 0.17556037 -0.04007362 -0.00087043 0.07385973 -0.1723025 -0.03429774 -0.0098305 0.00146416 -0.01508242 0.02910317 -0.02511123 -0.16226451 0.01168076 0.12020607 -0.09739583 0.0138833 -0.01357286 -0.00984923 0.11602186 -0.19235983 0.10362481 -0.00523094 0.00908103 -0.00498304 0.00859183 0.00709068 0.01391097 0.00970665 0.00785763 0.00888557 -0.01840615 -0.01858681 -0.0027103 0.01052316 0.0103436 -0.11877223 -0.1158847 -0.00398855 0.20209426 -0.2271828 0.00056943 0.15496317 0.00523131 -0.12455094 0.05275284 -0.13723443 -0.00538116 -0.01140953 0.02567282 0.00481131 -0.02030515 0.07763683 0.00397999 0.07582879 -0.00443292 0.00369314 -0.00989465 -0.03607706 -0.01784397 0.03553801 -0.01389775 0.01197969 0.0073521 -0.06361043 -0.18855147 0.17799962 -0.01398132 0.02421125 0.00906261 -0.05370149 0.19013236 0.10560923 0.00499741 -0.02343353 0.01873989 -0.18881243 -0.11151068 -0.20411514 -0.02008398 -0.00085648 0.08686483 -0.00801161 -0.01187268 -0.16711016 -0.05930175 0.13443646 -0.0113845 -0.07437768 -0.02903482 0.12704876 0.11855366 0.02167088 0.01389593 0.0225038 -0.01605259 0.06066681 0.01855067 -0.0046289 0.18338318 0.03367017 0.0619727 -0.01691095] [-1.07620269e-01 1.62594453e-01 4.57337014e-02 1.30752519e-01 -1.22702913e-02 -3.11411396e-02 9.25252438e-02 -9.86561179e-02 3.42683308e-03 5.00524789e-03 -2.11530581e-01 -7.15536298e-03 1.27808563e-02 1.18610576e-01 -1.49337929e-02 1.07471861e-01 1.99333616e-02 9.07989591e-02 -1.96488902e-01 4.15950157e-02 1.67600423e-01 5.26210628e-02 -4.02739458e-02 -5.15643060e-02 -3.75468191e-03 5.51117817e-03 1.09301239e-01 -2.20886245e-02 5.27387559e-02 -1.94993913e-01 -2.01843590e-01 -2.05438733e-01 2.92962766e-03 7.07208936e-04 1.29639417e-01 1.63398515e-02 -5.85215585e-03 -1.13401435e-01 2.88691930e-03 1.38426572e-01 -1.55716419e-01 -2.94341589e-03 -3.58647853e-02 2.36959346e-02 -1.24480277e-01 -8.12729970e-02 8.00700262e-02 1.11315204e-02 1.76321082e-02 -6.43927697e-03 5.21870982e-03 -4.90170764e-03 1.08268000e-02 1.48889581e-02 1.71157904e-02 1.46583077e-02 8.02724659e-02 -6.63458137e-04 7.86698051e-03 -2.24510231e-03 -6.40479550e-02 -1.84137851e-01 7.74289966e-02 3.41131818e-03 1.84588507e-01 -1.70708194e-01 5.02541522e-03 1.54119894e-01 -2.10910458e-02 1.89896852e-01 -7.75358686e-03 1.18655516e-04 -3.18218442e-03 -1.52526169e-07 9.35270451e-03 3.08150072e-02 -2.39643846e-02 8.88504982e-02 -9.72002372e-03 8.32038373e-02 -9.68301261e-04 2.31694523e-02 -6.12746831e-03 1.66416150e-02 8.43179449e-02 -1.45145203e-03 -1.38598364e-02 8.73902906e-03 7.31717236e-03 8.41324478e-02 -1.56832591e-01 -1.61215827e-01 2.09329668e-02 2.53738556e-02 1.30454069e-02 1.20582193e-01 1.47732079e-01 -1.69959873e-01 7.83045217e-03 -9.86985862e-02 -1.11699738e-02 -1.93663493e-01 -4.78791930e-02 -1.36622563e-01 -2.56100185e-02 -1.16898278e-02 -4.14415300e-02 1.96052089e-04 1.13811891e-03 -1.77269369e-01 -5.78404851e-02 1.20955901e-02 -1.95851941e-02 -4.29301858e-02 -3.23090367e-02 1.81476682e-01 4.05933484e-02 -5.32937469e-03 1.68797240e-01 -5.08627258e-02 1.23649342e-02 -7.09144622e-02 2.54519787e-02 3.10400530e-04 8.81498009e-02 1.00836955e-01 -7.32421651e-02 -8.43569543e-03] Cos Similarity tf.Tensor(0.4854987, shape=(), dtype=float32) (128,) (128,) [ 2.12774009e-01 4.80706580e-02 7.84120336e-02 -6.20276593e-02 6.37385063e-03 -1.30089492e-01 -1.39342055e-01 1.46722093e-01 7.48717785e-03 1.77315529e-03 -4.00879197e-02 -2.22591986e-03 3.00996192e-02 1.76744431e-01 2.26551984e-02 -1.85876518e-01 -4.17954172e-04 -1.13612264e-01 -9.33559313e-02 -1.21780485e-01 1.86496824e-01 1.61463514e-01 -1.00271389e-01 7.98274353e-02 7.42218830e-03 4.48995875e-03 2.25683182e-01 9.30030830e-04 5.34032565e-03 8.07253569e-02 -1.54644087e-01 -8.59181359e-02 2.63355821e-02 1.20865824e-02 2.09641740e-01 5.79071045e-02 -1.66563187e-02 -1.55394241e-01 -9.73142590e-03 1.30046904e-01 1.84532851e-01 8.09983071e-03 -8.80134199e-03 -6.25301665e-03 3.03377155e-02 1.55155584e-01 -2.17699055e-02 1.20898979e-02 1.01220086e-02 -9.66614857e-03 3.65800667e-03 5.88948326e-03 1.03577981e-02 1.74021011e-03 8.06175824e-03 2.02218909e-03 -6.96086586e-02 -1.38748996e-02 -4.72748047e-03 6.64876541e-03 -9.29864837e-05 -4.07536067e-02 1.22993603e-01 -3.81752998e-02 -1.82518084e-02 -1.50875263e-02 -9.12832562e-03 1.43273085e-01 1.59876496e-02 -5.79478294e-02 -1.79363757e-01 -1.70277700e-01 7.93756044e-04 5.34444395e-03 1.19476924e-02 -2.72056554e-02 1.49774015e-01 -5.11845052e-02 -6.56981952e-03 1.67148381e-01 3.70291458e-03 -1.18177040e-02 6.40054140e-03 -4.59973253e-02 8.40564519e-02 -1.09932296e-01 -5.49466722e-02 1.06059527e-02 9.90338903e-03 -1.09676242e-01 -7.06860749e-03 4.30394523e-02 6.44021388e-03 -3.16549907e-03 3.57423909e-03 9.47566107e-02 1.42616302e-01 5.78377768e-02 5.09486720e-03 -1.95963576e-01 1.24189265e-01 5.52489385e-02 2.14491319e-02 -4.08219807e-02 -1.40982913e-02 -3.11105568e-02 8.12185779e-02 1.96263380e-03 -2.83566560e-03 -2.25577980e-01 5.18996827e-02 1.57671496e-01 1.15690222e-02 3.95230986e-02 -3.45526496e-03 -5.22120409e-02 -7.58014503e-05 -7.14060571e-03 -2.05901131e-01 5.39716752e-03 -7.91530940e-04 1.15563236e-01 -1.32247722e-02 -2.08982844e-02 -5.59185892e-02 4.40244516e-03 1.38576671e-01 -1.17895845e-02] [ 1.95565835e-01 1.41934929e-02 1.17122307e-01 -2.15224296e-01 5.42744808e-03 -8.64806995e-02 2.31728293e-02 1.57203108e-01 8.71266052e-03 9.47261602e-03 4.05209698e-02 1.71288271e-02 3.36128771e-02 1.22570343e-01 -1.77964106e-01 -1.90039560e-01 3.86860617e-03 1.38383031e-01 -8.13919306e-02 -1.29157603e-01 -2.47494448e-02 1.27087340e-01 -2.29652021e-02 5.36893867e-03 1.87836569e-02 3.67451063e-03 1.33041814e-01 9.72911064e-03 -8.80718380e-02 6.96839541e-02 -1.31098896e-01 9.13879776e-05 1.07291341e-02 9.80839971e-03 1.87639892e-02 3.55744213e-02 9.29853879e-03 -1.05527937e-01 -2.31134240e-02 -2.22034045e-02 7.46722147e-02 3.82329221e-03 -1.01271700e-02 7.21142348e-03 -1.39266133e-01 1.71478271e-01 -1.41318321e-01 2.43193507e-02 2.32977774e-02 1.54540855e-02 1.91899389e-03 5.66752115e-03 2.19945125e-02 3.41713056e-03 1.65302791e-02 1.18961390e-02 -1.31061405e-01 -2.40784623e-02 8.49947892e-03 1.42296609e-02 1.35448560e-01 6.34234473e-02 7.56436586e-02 -1.95693895e-02 3.93046886e-02 8.41599032e-02 -4.18653898e-03 1.41932562e-01 2.17924062e-02 -9.39673334e-02 -7.79658407e-02 -1.76181033e-01 -5.86902956e-03 2.51680892e-02 1.20576425e-02 1.13173062e-02 1.17892243e-01 5.89111522e-02 -6.50369888e-03 2.07116544e-01 1.04112048e-02 -1.12685915e-02 1.82557404e-02 -7.09603354e-02 1.29107207e-01 -7.43857995e-02 4.28250916e-02 1.54504301e-02 2.26817420e-03 -1.55039979e-02 2.63749734e-02 -8.28406438e-02 1.34257786e-02 -7.00767245e-03 1.93982534e-02 1.83518484e-01 -7.90051892e-02 1.30274609e-01 1.68308499e-04 -2.32177347e-01 -1.80845946e-01 1.05622530e-01 1.22200716e-02 -8.68473947e-02 -4.55563655e-03 -3.27346362e-02 1.89461321e-01 -1.95258984e-03 1.62230656e-02 -2.18831688e-01 -6.89392984e-02 1.46734208e-01 1.87870916e-02 -3.17406608e-03 -8.10883474e-03 9.82825980e-02 1.67839766e-01 -1.76110980e-03 3.32412384e-02 -1.69371963e-02 -1.23123555e-02 1.86182842e-01 -1.58990435e-02 7.76202790e-03 8.80279094e-02 6.70521194e-03 -7.97945783e-02 -8.48307274e-03] Cos Similarity tf.Tensor(0.56868315, shape=(), dtype=float32) (128,) (128,) [-0.163216 -0.05997063 0.07975221 -0.02849898 -0.01819837 -0.13653906 -0.00407178 0.12326661 -0.00327647 -0.00563466 0.16102153 0.01278729 0.00753216 0.12236526 0.06211889 0.17919518 -0.00647461 0.14981987 -0.14281215 -0.10938653 0.00758201 -0.03006092 -0.07993744 0.10903782 0.00372294 0.00955331 0.11469618 0.00219635 0.04057759 -0.1450377 0.1751365 0.16682155 -0.00634414 0.00809368 0.16291632 0.0082458 0.00905194 -0.14500578 -0.01156429 0.13721372 -0.1569929 0.00199139 0.0055126 -0.00277195 0.15022342 0.15048325 -0.12842514 -0.00319683 0.0093595 -0.00549788 0.00286845 0.0118316 0.00605596 0.00878731 0.00462649 0.01319568 -0.02540261 0.02312606 -0.01024303 0.01088813 0.03728793 0.16349071 0.16068038 -0.00763321 -0.03453239 -0.02230691 0.00411249 0.00229435 -0.01107169 0.18697186 -0.01543324 -0.04198058 0.00921066 0.01232331 0.00956446 0.00610143 -0.14897922 -0.08226577 -0.00612173 -0.11391556 -0.01944473 -0.01885537 -0.0027635 0.12606485 -0.13993336 0.02338596 -0.03223321 0.00484487 -0.00056431 -0.06670748 0.12209841 0.05587218 0.00349611 0.00942142 0.01810199 0.00689956 -0.15871947 -0.08211127 0.00379312 0.04754105 -0.05469764 0.18738708 0.1845319 -0.12038559 -0.00308319 -0.00701917 -0.02867629 -0.00260012 -0.03144833 0.180392 -0.17410284 -0.12366095 0.00543536 0.13584058 0.07012691 -0.17807 -0.12080976 0.00748021 -0.11698872 0.0108724 -0.01580625 -0.10100048 0.01611805 -0.00353212 0.19038989 -0.0111382 0.00815937 0.00668205] [-1.70587644e-01 2.00190349e-03 6.94566518e-02 -2.16622725e-02 -1.36313727e-02 -1.25732096e-02 1.28033698e-01 1.06307477e-01 -3.58942896e-03 -6.52695214e-03 1.53943419e-01 1.30351512e-02 3.85884405e-03 8.58429074e-02 6.81424141e-02 1.84525281e-01 -4.52823984e-03 1.49289548e-01 -1.67471379e-01 -1.66898653e-01 -8.39720815e-02 2.15792451e-02 -8.60725641e-02 8.39412808e-02 5.86988218e-03 4.92626848e-03 1.13238439e-01 6.37963740e-03 1.47972807e-01 -1.05733737e-01 1.57034352e-01 1.73708156e-01 -7.51309982e-03 6.17882702e-03 1.84835687e-01 -1.52330019e-03 1.02255689e-02 -1.34723216e-01 -9.57264192e-03 1.26851201e-01 -1.63819060e-01 -1.34092232e-04 4.48904606e-03 -2.07635239e-02 1.12661906e-01 1.89126670e-01 -3.96029614e-02 -5.87807177e-03 7.48234103e-03 -1.82751706e-03 6.93402486e-03 1.10557638e-02 1.06560206e-02 7.29023945e-03 -5.17566921e-04 1.36934072e-02 -5.74129410e-02 2.16124281e-02 -1.10868849e-02 7.70920189e-03 5.75980358e-02 9.76038203e-02 1.81218311e-01 -1.59867853e-03 -5.20499051e-02 -3.79759669e-02 3.12694511e-03 4.75980109e-03 -1.07024778e-02 1.69181913e-01 -9.43821296e-02 -2.68698633e-02 1.56401414e-02 1.31596150e-02 1.01129245e-02 6.81161182e-03 -1.27025798e-01 -7.60644302e-02 4.05984640e-04 -1.30985498e-01 -1.77792609e-02 3.73413274e-03 -7.80176930e-03 1.01935826e-01 -1.45699188e-01 6.68874532e-02 1.18742295e-01 4.17558569e-03 9.56345000e-04 -7.93190971e-02 -8.41628462e-02 3.75010557e-02 6.31332677e-03 1.06334323e-02 5.94513211e-03 -1.15865730e-01 -8.54708627e-02 -9.17363837e-02 1.02603924e-03 6.70102611e-02 -1.55783057e-01 1.60412595e-01 1.78186342e-01 -1.06188968e-01 -8.32803175e-03 -6.05856720e-03 -7.76557773e-02 -1.72005303e-03 -3.31190787e-02 1.31459683e-01 -1.79435790e-01 -1.19553834e-01 1.08264992e-03 1.39808461e-01 4.14629169e-02 -1.91810921e-01 -1.00248858e-01 3.93232470e-03 -1.27396479e-01 1.13820257e-02 -1.50753446e-02 3.64479125e-02 1.84281021e-02 -5.02119120e-03 1.68177098e-01 1.82286967e-02 -9.91092697e-02 -5.94865356e-04] Cos Similarity tf.Tensor(0.8831314, shape=(), dtype=float32) (128,) (128,) [-1.67134732e-01 -5.73025271e-03 4.04775739e-02 -8.14170167e-02 -4.22814116e-03 -1.03688478e-01 -1.77262023e-01 1.53660223e-01 -2.04146886e-03 -6.29125908e-03 2.16715485e-01 4.68495628e-03 -7.52901565e-03 1.50263067e-02 4.19543460e-02 8.13510790e-02 -3.74207855e-04 -8.52924064e-02 -1.93412185e-01 5.83110861e-02 -1.05288476e-01 -1.70150459e-01 -6.29098788e-02 2.93278247e-02 4.23882343e-03 1.56836137e-02 8.19120407e-02 -2.52267513e-02 3.17677744e-02 9.45869759e-02 1.01053506e-01 -6.25852346e-02 -1.28235267e-02 -3.08356695e-02 -3.36126797e-02 -3.52916457e-02 2.56312569e-03 -9.30216089e-02 -4.46363911e-03 1.06176138e-02 -2.87274588e-02 1.57561433e-02 -1.92661572e-03 -2.15139762e-02 1.35694668e-01 2.15454236e-01 1.61794424e-02 -1.03204511e-02 -4.17509436e-04 3.54382326e-03 4.98578651e-03 1.55130634e-02 -1.47426240e-02 4.07566829e-03 -1.53025631e-02 1.36552351e-02 -2.74597071e-02 8.25260207e-03 3.51786031e-03 5.13812527e-03 1.55831009e-01 -1.67704195e-01 -1.24594212e-01 -5.29196732e-05 1.92891389e-01 -1.36523172e-01 -3.56199197e-03 4.87593992e-04 -3.01641203e-03 7.34329298e-02 -2.04269234e-02 8.53305683e-02 5.38967270e-03 2.34020804e-03 -6.18863711e-03 -1.57637782e-02 -8.40372518e-02 2.44583562e-02 -1.36816630e-03 1.67799547e-01 -1.70657746e-02 4.72003222e-03 -1.74254887e-02 -1.70000821e-01 -3.52273621e-02 1.66666716e-01 -1.01105914e-01 9.16549563e-03 -7.46744173e-03 -5.73065244e-02 -1.36335474e-03 -7.44309276e-02 -1.61580648e-02 8.02710187e-03 9.47988033e-03 -1.69318542e-01 1.37219504e-01 -2.08669454e-01 -5.12381364e-03 -5.06776907e-02 1.96368828e-01 -1.70035854e-01 -2.05369309e-01 -9.01416037e-03 -1.54495484e-03 -1.96461640e-02 -7.04787225e-02 -9.30363219e-03 -9.36973281e-03 -1.49639451e-03 -1.43214345e-01 6.67462200e-02 -8.23536608e-03 1.17666535e-01 7.18070790e-02 -2.26164579e-01 -1.86200300e-03 5.63413523e-05 1.80411279e-01 8.97312653e-04 -4.65746783e-03 -3.90260182e-02 1.79304183e-02 -1.03342570e-02 2.12836117e-01 3.36001106e-02 2.42481865e-02 4.98100044e-03] [-5.20728417e-02 2.86008082e-02 9.83723700e-02 1.06064856e-01 -6.51435135e-03 -1.21226445e-01 -1.70901254e-01 1.08169951e-01 -1.59605886e-04 -1.15199545e-02 1.41331002e-01 4.25106753e-03 7.37240480e-05 7.01068575e-03 2.15850435e-02 7.67386577e-04 -1.82992052e-02 -6.04063123e-02 1.56288788e-01 8.04285258e-02 5.61668128e-02 -3.26899951e-03 1.44015923e-01 1.10323608e-01 -2.45150011e-02 -4.70696902e-03 -1.66015383e-02 -7.72181619e-03 -1.82602555e-01 2.31369622e-02 -9.28252786e-02 1.91878516e-03 -9.67655145e-03 -3.09068151e-02 1.09917745e-01 -4.23593260e-03 -1.24094833e-03 -1.69779629e-01 -3.09022912e-03 -8.37913454e-02 -8.08994547e-02 1.44759500e-02 -1.67038792e-03 -1.10708624e-02 2.11602941e-01 -2.35389336e-03 7.16708452e-02 -8.11439881e-04 -2.19257246e-03 7.17398571e-03 9.69032571e-03 1.09684803e-02 1.07079663e-03 6.60312036e-03 1.42140707e-04 1.86819248e-02 -7.38995969e-02 2.01171227e-02 9.32328869e-03 7.92541914e-03 1.34395391e-01 -8.49461630e-02 -1.96756542e-01 -5.81391621e-03 1.88441366e-01 -2.28802815e-01 6.30428374e-04 4.88422215e-02 -3.89763061e-03 1.21426091e-01 -9.23421532e-02 1.50961243e-03 8.18780810e-03 7.54490495e-03 -8.11170414e-03 1.02430501e-03 1.52830465e-03 4.78894897e-02 1.27261656e-03 1.74846411e-01 -5.15850913e-03 5.98501647e-04 2.45161564e-03 -5.90288490e-02 -1.50578067e-01 -6.53629377e-02 -1.44072011e-01 1.28293307e-02 -5.16838161e-04 -1.49695888e-01 -8.48851055e-02 7.26825893e-02 3.87197244e-03 1.14770723e-03 1.54098170e-02 -1.84437081e-01 8.40776190e-02 -3.83311100e-02 9.30622593e-03 1.41819641e-01 2.14443922e-01 -1.02922030e-01 -2.07967326e-01 -1.92646280e-01 -1.31671764e-02 -1.51597848e-02 1.05792470e-01 3.36458050e-02 -2.29314677e-02 7.36851171e-02 3.64851281e-02 -1.01512842e-01 -4.88668971e-04 1.41387448e-01 1.88078247e-02 -2.26283580e-01 -7.26324394e-02 -5.00530517e-03 1.46761566e-01 1.45799748e-03 -4.25139163e-03 -8.92000198e-02 2.34051868e-02 -2.12274976e-02 1.82346031e-01 -4.61234637e-02 -4.94161546e-02 -2.07442371e-03] Cos Similarity tf.Tensor(0.55207014, shape=(), dtype=float32) (128,) (128,) [ 4.98453081e-02 1.84111908e-01 7.71100149e-02 -1.64822415e-01 -1.78263262e-02 -1.39433593e-01 1.01274908e-01 -1.95223406e-01 -2.20236257e-02 8.95984378e-03 -1.86478481e-01 -1.61783453e-02 2.83648092e-02 -6.37827441e-02 7.85874948e-02 -7.96721876e-02 1.90622807e-02 6.98105842e-02 1.35408238e-01 -8.23273361e-02 -6.36902153e-02 -1.43966123e-01 -8.67814049e-02 -1.00497082e-02 8.69700871e-03 2.12722979e-02 -1.30338565e-01 9.44169878e-04 1.11369006e-01 -1.75412461e-01 -9.21101049e-02 -4.16692458e-02 -8.36646836e-03 -2.20050737e-02 -1.94227874e-01 2.57771760e-02 -2.41488102e-03 -5.32924198e-03 -4.84471628e-03 7.43997470e-02 8.50394964e-02 5.37089887e-04 -8.03452393e-04 -1.30328611e-02 -1.77591264e-01 2.56343894e-02 1.28413528e-01 2.92998422e-02 2.77330428e-02 4.10041176e-02 1.19392518e-02 1.31373014e-03 1.09784799e-02 1.25218118e-02 1.37674725e-02 1.23825120e-02 2.71618031e-02 1.56182731e-02 2.57894956e-02 9.77603626e-03 1.58938840e-01 -1.88131675e-01 -5.16296402e-02 1.42046120e-02 -1.56810552e-01 1.82432503e-01 -1.46594096e-03 6.95913956e-02 4.67509869e-03 1.41713381e-01 -5.21846674e-02 1.16274543e-01 -1.03232516e-02 2.18709651e-02 -5.53197134e-03 2.99970377e-02 1.70435295e-01 1.73082605e-01 -1.16487388e-02 1.79768592e-01 7.26820994e-03 -1.54275869e-04 8.93698074e-03 1.01411976e-02 -7.67591894e-02 2.86987773e-03 -1.86345533e-01 1.37891518e-02 6.47545420e-03 -5.27993962e-02 -1.65030584e-02 -3.19230072e-02 2.18576416e-02 2.31053997e-02 -2.67077163e-02 6.29732981e-02 1.42805859e-01 -1.36842504e-01 1.25304153e-02 -1.07592726e-02 9.69335437e-02 -1.69926658e-01 -2.22468004e-02 1.70937076e-01 6.87281787e-03 1.80749141e-03 -2.01488540e-01 9.15521104e-03 2.76705511e-02 -8.72355700e-02 1.13672219e-01 1.79890037e-01 -8.17986904e-04 -2.23194547e-02 -4.70919497e-02 5.96940145e-02 -5.87305538e-02 -1.88828097e-03 -8.79872590e-02 -1.35585675e-02 -2.08104197e-02 1.54144466e-01 2.53919698e-02 -1.79737492e-03 -5.39743192e-02 1.24860704e-01 -7.98904710e-03 -2.84821447e-03] [ 1.31366998e-01 1.28507346e-01 8.95215571e-02 -1.79855242e-01 -1.05795534e-02 -1.42139062e-01 6.20083362e-02 -1.91918224e-01 -1.55685348e-02 4.12055233e-04 -7.05552548e-02 -3.21407337e-03 1.92717798e-02 -3.48763429e-02 4.87123504e-02 -1.48427621e-01 7.84213934e-03 2.22422946e-02 7.18225688e-02 3.06411274e-03 4.31175856e-03 -1.22188851e-01 -8.76816213e-02 -4.79974970e-02 -2.74219410e-03 9.23214108e-03 -1.18856922e-01 -6.35542395e-03 8.33372623e-02 -1.58232823e-01 -1.44081548e-01 4.07066457e-02 -1.06704198e-02 -1.02602504e-02 -5.18128164e-02 1.27492556e-02 -9.18000951e-05 -4.72791456e-02 7.02839158e-03 -2.86523290e-02 8.99443775e-02 -3.08453396e-04 -1.03139272e-03 -3.59636731e-03 -1.76919371e-01 -3.38865630e-02 -1.01388276e-01 1.07598910e-02 1.37019716e-02 2.26096623e-02 9.41334106e-03 -1.16336904e-03 -4.29523457e-03 5.02310041e-03 -1.30100027e-02 6.47189375e-03 1.25410110e-01 5.14247781e-03 1.58035383e-02 7.91250030e-04 5.60471825e-02 -1.42287865e-01 -1.25557631e-01 -5.80140995e-03 -2.10196123e-01 2.02390090e-01 -1.12381112e-02 -1.51504800e-02 -6.96023274e-03 6.73360676e-02 -7.92888477e-02 1.26746640e-01 -6.37722155e-03 6.65599434e-03 -1.18407644e-02 1.51762199e-02 1.14399165e-01 1.90671489e-01 -8.65615532e-03 1.42193347e-01 8.24825559e-03 7.98566849e-04 9.71590821e-03 -7.78068081e-02 -8.35009590e-02 1.26998931e-01 -2.00305432e-01 2.90530408e-03 1.00329681e-03 4.67839129e-02 -9.62331444e-02 -1.69697359e-01 1.35194752e-02 8.00543744e-03 -1.21374317e-02 1.62403673e-01 1.14074409e-01 -1.80178419e-01 3.17626470e-03 -1.39708489e-01 -1.17983026e-02 -1.91311583e-01 2.27332506e-02 1.66358918e-01 -2.82288622e-03 -5.37158747e-04 -2.19038367e-01 3.16003407e-03 1.33058811e-02 -4.23946902e-02 3.54885161e-02 1.91294268e-01 -1.90705769e-02 -1.03270158e-01 -3.34350690e-02 1.27341762e-01 1.37243956e-01 -1.71451606e-02 -2.79060211e-02 -1.26177873e-02 -6.96944352e-03 1.42959476e-01 1.87157542e-02 -2.96306820e-03 -8.16738084e-02 8.02203640e-02 4.09111753e-02 -8.13277997e-03] Cos Similarity tf.Tensor(0.8115084, shape=(), dtype=float32) (128,) (128,) [ 0.08645163 -0.05957449 0.03316667 -0.08164169 -0.00300705 0.00238169 -0.10030834 -0.12773813 0.00425561 0.00372767 -0.07384235 -0.03066612 0.00798916 0.16518375 -0.17366649 -0.05166223 -0.00181638 0.08929753 -0.16423228 0.1145192 -0.10248935 0.17188261 0.13846825 0.04327353 -0.01059246 -0.00193383 0.10870145 0.0007897 -0.18020469 -0.1880862 -0.04735783 0.14207439 0.00695332 0.01335038 0.00939053 0.02372236 0.00234511 0.16351345 -0.01004356 -0.16005874 0.19621621 -0.00767223 -0.01328744 0.001525 -0.11320037 -0.1700479 -0.11844883 0.01400254 0.00989746 0.00401219 0.00406457 -0.00463356 -0.00540545 0.00834336 0.00515231 0.01242448 0.07004844 0.00696865 0.01055236 -0.01470272 -0.16344136 0.03236685 0.21580626 0.00359267 0.05435233 0.1297112 -0.01090973 0.02366991 -0.01392488 0.16408424 0.08591958 0.10572918 -0.00426202 0.01319333 -0.0031434 -0.01001517 0.05666484 0.13826059 -0.00480295 -0.07064659 -0.01521071 0.00306508 -0.00053966 0.17148541 0.12845287 -0.1648483 0.06922031 -0.00071876 0.00623189 0.06524941 0.01460217 0.14581396 -0.00590691 0.01378203 0.00419079 -0.04069509 -0.08046029 0.03803915 0.00903498 -0.15205002 0.05807853 0.15279496 0.15374784 -0.1797087 0.00960071 -0.00398859 0.0816924 -0.00339632 -0.0029519 0.0123626 -0.19454117 -0.04601652 -0.01126471 -0.04785914 -0.04615509 0.11825597 -0.11644324 -0.00641853 -0.1689352 -0.0034812 -0.00601796 0.0020338 -0.00241868 -0.01467117 0.13803378 0.07080834 0.05891574 -0.00295653] [ 0.05017409 -0.0960387 0.02354139 -0.10104699 -0.00620274 -0.0071578 -0.11386642 -0.19179441 -0.00156773 0.02237834 -0.01709531 -0.0304827 0.02020821 0.08570001 -0.15454236 -0.03232689 0.02133092 0.12405409 -0.01265397 0.10452687 -0.10420866 0.1763132 0.06384363 0.09437416 -0.02196346 0.00886992 0.1472678 0.00501845 -0.2204869 -0.13201112 0.1531805 -0.06140243 0.00973277 0.03112153 0.02168808 0.03971614 0.01739715 0.1931596 -0.02716944 -0.12505311 0.10409311 -0.01246036 -0.01346267 0.01656872 -0.10598253 -0.20760477 -0.00978283 0.02568493 0.01442648 -0.01250618 0.01701217 -0.01005279 -0.00311148 0.01209117 0.02216633 0.0117667 0.16789381 0.00859659 0.03676821 -0.00283857 0.01819172 0.04402094 0.21653764 0.03210217 0.07121164 0.00709612 -0.00321014 0.03386561 -0.02023702 0.05020606 -0.13544829 0.1129095 0.00150324 0.03634943 -0.00099469 -0.02444014 0.03218277 0.12312263 -0.03040605 -0.08419343 -0.01983596 0.00590985 -0.00241179 0.15556179 0.08910458 -0.01249049 -0.01185489 0.00133151 0.01464847 0.11385923 0.08525271 0.11212042 0.00056811 0.02819655 0.0090876 -0.13661641 0.00327756 0.09921013 0.01567011 -0.1877028 -0.09481771 0.16013019 0.06295889 -0.10051235 0.00167941 -0.02490714 0.11441241 -0.01217358 0.00966591 0.02539003 -0.18564506 -0.14663817 -0.00068835 -0.03124401 -0.09603548 -0.00853985 -0.20140776 -0.00518716 -0.22569138 -0.00256414 -0.0074986 0.1771461 0.01764302 -0.00179619 0.17502382 0.10031594 -0.01136882 0.00285993] Cos Similarity tf.Tensor(0.76509666, shape=(), dtype=float32) (128,) (128,) [-1.26631945e-01 1.39586225e-01 1.16168514e-01 -6.45458326e-03 2.58799512e-02 5.43352589e-02 -3.56964394e-02 7.91901648e-02 1.17930193e-02 5.11684231e-02 -1.22529536e-01 1.27985245e-02 4.55377027e-02 -1.43147454e-01 1.18070245e-01 1.36790290e-01 5.11475354e-02 8.76901746e-02 7.12886751e-02 -2.66364571e-02 5.25335316e-03 -1.84775770e-01 4.75272238e-02 2.39164792e-02 9.67145413e-02 -1.23722842e-02 -6.21445291e-02 -8.80953949e-03 1.33103073e-01 9.77896526e-02 -1.57860711e-01 1.86722837e-02 3.75056304e-02 6.30512536e-02 2.17016656e-02 -2.55999435e-02 7.95046166e-02 4.26511988e-02 -8.25678855e-02 9.69105400e-03 -1.62268616e-02 -2.09936709e-03 2.73107737e-02 -1.69689413e-02 -1.41322628e-01 1.23768661e-03 -1.94136053e-02 2.44406145e-02 8.48112255e-02 8.34502652e-02 2.78972127e-02 2.36404780e-02 1.20314330e-01 4.05365266e-02 1.00933000e-01 3.18699926e-02 -6.56436244e-03 4.09615971e-02 5.48047721e-02 5.32508455e-02 1.38691723e-01 1.63270123e-02 5.55372871e-02 6.38912693e-02 -1.62437037e-01 7.84581825e-02 1.31421657e-02 -6.18241429e-02 6.47061914e-02 4.36127782e-02 -3.35052097e-03 -8.73627067e-02 2.35942602e-02 3.10450979e-02 2.40056366e-02 6.67358935e-02 5.08694313e-02 6.81983912e-03 -2.78892787e-03 9.55736637e-03 1.76221617e-02 -7.54129561e-03 1.91334691e-02 3.70930433e-02 -2.18937054e-01 1.37992039e-01 1.06521018e-01 4.26539183e-02 2.26893183e-02 1.51350379e-01 5.98908626e-02 1.78724870e-01 2.93611456e-02 2.81014368e-02 1.97508335e-02 2.05559090e-01 -1.83518142e-01 -2.06764117e-01 5.69630452e-02 1.47558078e-02 2.20090196e-01 1.01065248e-01 1.86949685e-01 1.33877620e-01 5.67853935e-02 7.77641311e-02 1.83959991e-01 8.06729833e-04 1.13546669e-01 -2.29532197e-01 -1.07455894e-01 -6.37757555e-02 5.84470294e-02 1.90107264e-02 -5.34970015e-02 -3.50560807e-02 2.40401197e-02 4.85305121e-04 3.23963016e-02 1.09171942e-01 4.61225547e-02 9.60202664e-02 1.11081973e-01 2.62998678e-02 -1.10180706e-01 8.29981267e-02 3.28709632e-02 1.35430746e-04] [ 5.56004867e-02 1.59153685e-01 9.41589251e-02 -1.21239305e-01 -8.71626195e-03 2.20068544e-02 -8.52108374e-02 9.17747021e-02 -6.45569945e-03 -7.48040387e-03 2.10088655e-01 1.78078841e-03 1.79036018e-02 -4.99656145e-03 1.51873799e-02 1.65873036e-01 3.68616194e-03 1.03230998e-01 -2.02064216e-01 -7.60581642e-02 3.44703533e-02 -2.62177009e-02 -8.83907601e-02 8.00255686e-02 -1.45479925e-02 1.77742401e-03 1.97608471e-01 -4.93684318e-03 9.66858640e-02 -8.62779282e-03 5.49812838e-02 2.35274658e-01 2.28791405e-03 -3.44861834e-03 -8.81877467e-02 1.21239470e-02 -2.94627366e-03 1.13740368e-02 -7.41902832e-03 -1.67989563e-02 1.46775141e-01 -1.92376936e-03 4.64621373e-03 4.90367040e-03 8.78510699e-02 1.27938405e-01 3.61485593e-02 3.18878330e-03 1.00547411e-02 1.90612543e-02 4.99944063e-03 3.92417889e-03 1.70841115e-03 4.60965978e-03 -2.41834059e-04 6.40752865e-03 1.37043431e-01 -5.67372236e-03 2.52329628e-03 -6.69381581e-03 3.23646292e-02 2.49637306e-01 2.51434475e-01 4.95660631e-03 -1.46049216e-01 8.64546001e-02 -2.97695096e-03 5.80266900e-02 1.10492110e-03 1.14922486e-01 -3.90865952e-02 -4.51337397e-02 -2.90697068e-03 5.47660748e-03 -9.09228437e-03 1.61798242e-02 -1.65635850e-02 -4.43815738e-02 -1.49558100e-03 1.82144463e-01 -1.90003589e-02 -2.15525297e-03 -1.03034349e-02 3.90347019e-02 -1.53613597e-01 -6.29665777e-02 -1.08994037e-01 1.37934126e-02 -3.57153569e-03 -1.28280982e-01 -8.03663060e-02 2.15722144e-01 -1.36967795e-02 9.12241731e-03 -7.71188131e-03 -1.42182305e-01 1.07886173e-01 -1.34408519e-01 -3.03452765e-03 1.84027657e-01 5.32207079e-02 -4.32116166e-03 1.41081363e-01 2.38441497e-01 -6.87178038e-03 -1.60755273e-02 -1.75476298e-01 7.50809954e-03 -7.81822484e-03 -2.17480008e-02 9.91983525e-03 1.21674947e-01 5.29885804e-03 -7.85050765e-02 -3.01631782e-02 -2.13815287e-01 -3.91379111e-02 -2.47202218e-02 5.92171438e-02 -5.62621327e-03 1.51997684e-02 -8.99736285e-02 -7.68449064e-03 -2.68036313e-02 -2.97816917e-02 3.24257798e-02 -4.23716940e-02 2.36775074e-03] Cos Similarity tf.Tensor(0.121564046, shape=(), dtype=float32) (128,) (128,) [ 9.81900375e-03 -1.34572148e-01 7.02150390e-02 -9.02758241e-02 -9.93089098e-03 -6.81005567e-02 7.22860545e-02 -4.13880497e-02 7.47884484e-03 -1.64140947e-03 -8.92143026e-02 -1.27049920e-03 -1.41653586e-02 3.34625393e-02 -1.06522692e-02 -2.19297200e-01 -4.17629816e-03 7.28114918e-02 -2.04112455e-02 5.59891984e-02 -7.20837265e-02 1.80702321e-02 -8.71695671e-03 1.24892890e-01 -2.02898514e-02 9.35679860e-03 1.56479463e-01 -1.95781160e-02 3.94169998e-04 -3.43753403e-04 -1.04139850e-01 -1.16102705e-02 1.43846311e-02 6.32707775e-03 1.87896520e-01 1.71938017e-02 -2.73536425e-03 -9.26658697e-03 3.11341835e-03 -7.07100183e-02 -1.53971553e-01 -2.83198827e-03 -1.95303326e-03 1.54966634e-04 1.38096049e-01 2.17963412e-01 2.35170815e-02 1.26740541e-02 6.26032241e-03 1.91084780e-02 -2.37495289e-03 8.22282955e-03 1.45172002e-02 6.45754626e-03 4.24351916e-03 1.42101524e-02 -1.69594362e-01 6.90277852e-03 -4.07470064e-03 -3.96596827e-03 -1.86011255e-01 -1.23963982e-01 5.45166545e-02 1.33140357e-02 -1.19682156e-01 5.48043773e-02 -6.98861526e-03 3.36156436e-03 -1.30191017e-02 -1.66866183e-01 2.15087369e-01 -1.35832280e-01 -7.68136093e-03 1.26308659e-02 -2.61717639e-03 1.43885484e-03 7.90670440e-02 -3.09758652e-02 7.90932390e-05 1.56263947e-01 -1.59499962e-02 -2.89223026e-02 1.73843792e-03 1.98124588e-01 4.89689447e-02 1.60234913e-01 -1.16343915e-01 7.76554551e-03 1.03580430e-02 1.87629119e-01 -6.75165653e-02 -1.34567752e-01 -1.24473160e-03 1.66896991e-02 -5.23732463e-03 1.73535317e-01 1.57329991e-01 -2.17290580e-01 -1.58698820e-02 5.51946759e-02 1.97941497e-01 -6.27385825e-02 1.08620092e-01 1.30861113e-02 5.18125435e-03 4.66705346e-03 1.79506093e-01 5.70438046e-04 -5.01323212e-03 1.21437460e-02 8.56602862e-02 9.76970866e-02 7.88335502e-03 -2.70401663e-03 -6.66215317e-03 2.00179398e-01 1.35811806e-01 -1.29982382e-02 5.34159653e-02 -6.35199808e-03 6.60651887e-04 1.75551474e-01 1.44784674e-02 -1.55254202e-02 -1.78809553e-01 -3.19220759e-02 -2.76402570e-03 -1.33542996e-02] [ 4.35324423e-02 9.83168855e-02 -2.14161072e-02 -7.91628361e-02 -1.71589572e-02 -3.71987112e-02 1.45752949e-03 -9.37213600e-02 -3.15069896e-03 -7.57012982e-03 -2.04574466e-01 -9.69105121e-03 1.62741623e-03 -4.99836821e-03 4.44954671e-02 -1.05776992e-02 -5.23955515e-03 6.62172809e-02 1.54198766e-01 -2.50097606e-02 -1.38750568e-01 -5.45208007e-02 6.54864088e-02 7.67761916e-02 -1.33362431e-02 4.77775233e-04 1.30143538e-01 -3.14456113e-02 8.81064758e-02 5.16599827e-02 -1.83049396e-01 5.75342439e-02 1.00369491e-02 2.37003877e-03 1.49828330e-01 4.76259412e-03 -2.84307389e-05 -1.50159910e-01 3.23646306e-03 -3.66887264e-02 -1.41923532e-01 -8.23608786e-03 -4.87831887e-03 -7.71528867e-05 -2.50565796e-03 1.91459984e-01 2.46185474e-02 2.56799208e-03 6.06914144e-03 1.35317398e-02 7.85327516e-04 5.12641901e-03 2.04650173e-03 8.62152968e-03 -2.79001824e-06 5.94939105e-03 -1.46438926e-01 6.00069342e-03 -2.53324653e-03 -4.87614423e-03 7.48319030e-02 -1.59623653e-01 1.82836786e-01 3.50515521e-03 -1.66657776e-01 8.76412243e-02 -1.52802076e-02 -5.59680946e-02 -1.10327248e-02 -1.19355276e-01 8.28682482e-02 -1.39236096e-02 -9.19613894e-03 4.75903833e-03 -4.90891002e-03 7.70369358e-03 1.60413235e-01 -2.39700284e-02 -5.60216722e-04 1.85784027e-01 -1.26231024e-02 -2.14575510e-02 6.65528001e-03 8.74765590e-02 -1.93608269e-01 1.33719936e-01 -2.77237948e-02 4.78090812e-03 -3.12886992e-03 1.78558633e-01 -2.68815737e-02 6.58727586e-02 -3.38666444e-03 6.91155344e-03 -7.82195665e-03 1.75226808e-01 1.12124458e-01 -1.73782393e-01 -1.74879190e-02 6.90385997e-02 1.68871045e-01 -4.81984168e-02 1.68157324e-01 1.40455067e-01 -3.47936526e-03 2.82003731e-03 2.00661287e-01 3.91190453e-03 -4.32148436e-03 -1.86069086e-01 1.33606553e-01 -6.82932362e-02 1.59676664e-03 9.70604457e-03 3.64653058e-02 1.81099698e-01 1.59159794e-01 -1.36218937e-02 1.39603853e-01 -7.45268492e-03 3.78544303e-03 1.25900820e-01 6.50266651e-03 -2.31863800e-02 -1.90841794e-01 -7.01763155e-03 6.16052281e-03 -1.60806049e-02] Cos Similarity tf.Tensor(0.6894099, shape=(), dtype=float32) (128,) (128,) [-2.73518898e-02 -1.36804163e-01 4.04410027e-02 1.83362722e-01 -1.41507089e-02 8.23050141e-02 8.54442343e-02 8.97443481e-03 1.02155302e-02 -5.12729166e-03 6.35681450e-02 -1.04937321e-02 -1.14599336e-03 1.72910422e-01 1.96133200e-02 1.82319239e-01 -1.26377749e-03 3.40299830e-02 7.23587573e-02 1.78516492e-01 -5.35351085e-03 -1.30538464e-01 2.97852512e-02 -1.59954280e-01 6.33424986e-03 -5.10529894e-03 -1.01574779e-01 7.40769319e-03 1.43008873e-01 4.00799364e-02 1.42218545e-01 9.10145640e-02 -2.46563717e-03 -6.06563594e-03 1.90438703e-01 8.37380346e-03 8.14960152e-03 -9.16140750e-02 3.51241161e-03 -7.58772492e-02 -1.46566942e-01 -9.68584791e-03 2.71077245e-03 7.67782284e-03 1.87531680e-01 -5.80680557e-03 -7.25240707e-02 7.98759796e-03 7.98911229e-03 1.70782860e-02 1.81660953e-03 5.77012543e-03 -9.93747823e-03 -1.34477369e-03 -4.20372747e-03 9.44474433e-03 -1.79858267e-01 -8.65077600e-03 -7.70701887e-03 -1.52317742e-02 1.36886939e-01 1.23114824e-01 1.41293287e-01 1.05700118e-03 -1.02490582e-01 1.23268403e-01 4.39442880e-03 -2.47496739e-03 5.49287628e-03 6.34720549e-02 1.12562701e-01 -1.85398191e-01 -4.59836470e-03 9.92361270e-03 -9.09871701e-03 1.02453986e-02 1.24635279e-01 -8.99261832e-02 5.11894608e-03 1.79210588e-01 -2.80813128e-02 -2.33419053e-03 2.65709567e-03 -1.41481653e-01 6.68646991e-02 -1.93047702e-01 1.25105634e-01 7.89816771e-03 -7.24839605e-03 -1.18874580e-01 8.11460018e-02 -1.84816062e-01 -1.29907392e-02 1.73779554e-03 3.14201671e-03 1.68195799e-01 -6.87202998e-03 -8.33528563e-02 2.32356112e-03 1.87124297e-01 -4.97144684e-02 1.90715045e-01 1.29535913e-01 -1.02619886e-01 -5.96619677e-03 9.54059698e-03 3.57017554e-02 6.31690538e-03 -4.23525413e-03 6.11186028e-02 6.95378482e-02 -1.65912002e-01 8.94818641e-03 -1.72747090e-01 -1.98628753e-02 4.69255038e-02 -9.75506902e-02 -1.66529454e-02 4.56534587e-02 -1.90854134e-05 6.79766480e-03 1.36399284e-01 -1.31215202e-02 -2.16344930e-02 -1.16839945e-01 -2.43814811e-02 4.60808687e-02 2.65475665e-03] [-0.07072676 -0.16739593 0.04074286 0.17255533 -0.01758748 -0.11120468 0.16584319 0.03099973 0.01156518 -0.00504289 0.10389098 -0.01120654 -0.00189468 0.16115132 -0.02583878 0.19016126 -0.00991898 0.02498874 0.12503593 0.1579911 0.01030309 -0.02144959 -0.1081526 -0.16417283 -0.02128579 -0.00547535 -0.15547226 0.00157118 0.17914659 0.11269148 -0.10557666 0.16651012 -0.00070062 -0.00732037 0.19121327 0.00587083 0.0042737 -0.16818433 0.00042576 0.11035189 0.01272408 -0.00574968 0.00083263 0.00440061 0.16181815 -0.09239443 -0.02903258 0.00240011 0.00320412 0.01746949 0.00396317 0.00463244 -0.01198563 -0.00068035 0.00560034 0.00851414 -0.16999723 -0.00902433 0.00300532 -0.00383314 0.1467073 0.10969059 0.17462684 0.00418379 -0.09222588 0.03544189 0.00500783 -0.00041796 0.00247583 0.04291681 0.14305075 -0.17014278 -0.00382158 0.01082676 -0.01026017 0.01140713 0.10240336 0.04633368 0.00436205 0.14680725 -0.02676731 -0.00790601 -0.00119662 -0.08190563 0.00351583 -0.10360613 0.16572249 0.00979445 -0.00525388 -0.07356063 0.15218514 -0.159428 -0.01218182 0.00119042 0.00258615 0.09506283 0.16975112 0.03760943 0.00208669 0.1681352 0.03355515 0.19275199 0.14680465 -0.01510591 -0.01235545 0.00192989 0.01476851 0.00409602 -0.00240847 0.02475835 0.03185662 -0.10448583 0.00498983 -0.12739514 -0.02994211 0.04486141 -0.14307274 -0.01095089 0.12431223 -0.00196238 0.00187024 0.06213582 0.00731731 -0.02015568 -0.14392693 0.01191376 0.09245362 0.00225035] Cos Similarity tf.Tensor(0.8051155, shape=(), dtype=float32) (128,) (128,) [ 3.75943780e-02 5.30955270e-02 -1.55544998e-02 2.01572686e-01 -2.15923470e-02 -1.05306417e-01 -1.42788827e-01 -2.33469501e-01 -5.39454445e-03 -1.07707419e-02 4.85915132e-02 -9.63185355e-03 1.12761622e-02 -1.12606518e-01 6.62761182e-02 -1.94586307e-01 -6.18881453e-03 -2.34263707e-02 1.04842074e-01 -1.13634504e-01 5.01514710e-02 1.95443943e-01 5.72546721e-02 -6.65213168e-02 -1.75665896e-02 2.65896926e-03 -3.70230339e-02 -4.68722451e-03 1.94943801e-01 1.32252067e-01 3.75785530e-02 -6.23685867e-02 -9.89632960e-03 7.63540063e-03 4.27307971e-02 1.68661494e-02 -1.63211231e-03 2.03881368e-01 -8.22404213e-03 -1.28076717e-01 -8.25684592e-02 -8.34006642e-04 -5.02635352e-03 1.51070775e-02 -9.28137377e-02 -2.16498941e-01 -5.51659726e-02 -6.30627619e-03 1.28840227e-02 1.25153027e-02 3.86224920e-03 -9.59640660e-04 -2.72867233e-02 3.16977943e-03 -2.31318679e-02 -1.19998828e-02 -6.67281449e-02 -5.08851651e-03 5.95863583e-03 -8.82888120e-03 9.61959139e-02 -6.24401532e-02 1.73926055e-02 -1.61517225e-02 1.37292191e-01 5.98954037e-02 -4.60696779e-03 -6.84503689e-02 -2.74419077e-02 2.24054202e-01 -4.69060801e-02 1.06481090e-01 -2.84797372e-03 -2.09931913e-03 -2.08201688e-02 7.24105863e-03 -1.69735923e-01 -1.36097133e-01 -9.87189356e-04 -1.06813021e-01 -1.89468672e-04 5.04993908e-02 -1.12055335e-03 1.73527390e-01 5.45431934e-02 3.23505253e-02 -3.46534960e-02 -1.05122081e-03 -1.37841739e-02 -2.08849519e-01 4.00369093e-02 1.94905624e-02 -1.06655592e-02 3.55848647e-03 -3.49959102e-03 7.96251222e-02 -1.03144437e-01 -2.18731076e-01 -6.55505108e-04 -6.23879116e-03 1.53660968e-01 -3.79375070e-02 4.50152159e-02 -6.39907569e-02 -1.83498487e-02 -7.05835968e-03 1.88031480e-01 2.63434332e-02 -1.34017854e-03 1.05024070e-01 5.49198389e-02 6.35492057e-02 -1.13086896e-02 -1.47988707e-01 -9.21674296e-02 -1.06389575e-01 -7.27230310e-02 -4.89090290e-03 -1.65173411e-01 -7.56991562e-03 -1.77912624e-03 1.62284076e-01 1.60521138e-02 7.27752969e-03 -1.92885086e-01 3.11471950e-02 6.53587580e-02 -2.23028325e-02] [ 0.13583067 0.03972622 -0.02556701 0.19935134 -0.01701642 -0.12089547 -0.13118127 -0.22355306 -0.00489163 -0.00977784 0.05182067 -0.01642116 0.00616095 -0.12291022 0.07471387 -0.18715444 -0.00944859 -0.02671998 0.10198319 -0.11623343 0.06361016 0.19303419 0.00995159 -0.05502391 -0.02106176 0.00287836 -0.06551358 -0.0007757 0.19443376 0.13117905 0.03567066 -0.08246056 -0.00137489 0.00678119 0.03704165 0.02200634 -0.00218506 0.20596366 -0.01053964 -0.13022497 -0.08609277 -0.00073034 -0.00899083 0.02833874 -0.08667845 -0.20333214 -0.05289901 -0.00593949 0.00808633 0.01102333 0.00136143 -0.00341562 -0.02194091 0.00356386 -0.02679541 -0.01039073 -0.05917121 -0.00454172 0.00551212 -0.00733282 0.1256138 -0.08046936 0.01337053 -0.01411863 0.14554757 0.07894643 -0.00405518 -0.07879763 -0.02490788 0.2158565 -0.04205051 0.0958976 -0.00161061 -0.0024025 -0.02185835 0.00991039 -0.1486707 -0.14148827 0.00088609 -0.06454707 -0.00403916 0.05962791 0.0005068 0.17952763 0.08473959 0.0554333 -0.06111549 -0.00080236 -0.00911416 -0.20339186 0.0524433 0.00351518 -0.01624781 0.00370371 -0.00838681 0.07740097 -0.1092286 -0.21421407 0.00377811 -0.03246061 0.14170058 -0.04054411 0.0550353 -0.05797618 -0.01703445 -0.00248107 0.19327225 0.02597553 -0.00987097 0.10696072 0.06430972 0.0899542 -0.00902636 -0.14864604 -0.09104063 -0.09406956 -0.05568921 -0.00570437 -0.160622 -0.01729285 -0.0045277 0.15762629 0.01519137 0.00350157 -0.16711119 0.04152759 0.02633144 -0.02013783] Cos Similarity tf.Tensor(0.9863985, shape=(), dtype=float32) (128,) (128,) [ 1.51669428e-01 3.39433774e-02 3.89260463e-02 2.24772114e-02 9.85220261e-03 -5.62616810e-02 -9.31876600e-02 1.19205788e-01 1.90245151e-03 -8.20361136e-04 8.27429965e-02 2.04077680e-02 -2.38140654e-02 4.53477837e-02 1.12577751e-01 -5.35268262e-02 2.13256124e-02 7.09610507e-02 -1.71249330e-01 -5.97378053e-02 -1.35624349e-01 -1.00307509e-01 6.28514364e-02 1.13247909e-01 2.78271660e-02 2.23683417e-02 -5.73317520e-03 5.17810183e-03 -1.35689184e-01 -6.13437518e-02 -4.53959703e-02 1.17194705e-01 -1.35944309e-02 2.94787269e-02 2.02800304e-01 3.20319049e-02 1.29142255e-02 -5.07530607e-02 -1.84014514e-02 1.15676634e-02 5.15393876e-02 1.83390267e-03 -7.01364188e-04 1.79464109e-02 1.55813843e-01 1.58678874e-01 -1.60253551e-02 1.61597822e-02 8.61009676e-03 2.63948087e-02 6.59943791e-03 6.24492951e-03 3.79958823e-02 8.54671653e-03 2.95262039e-02 3.06435116e-02 1.27426252e-01 -1.92501899e-02 -1.22076517e-03 1.00899208e-02 8.30141827e-02 -9.47238654e-02 7.63607249e-02 2.69942228e-02 -1.91583499e-01 -1.69346690e-01 3.33787291e-03 1.52959153e-02 8.20037723e-03 1.18058801e-01 1.90471083e-01 9.90459621e-02 6.53543603e-03 3.89896780e-02 1.68747548e-02 -2.84654964e-02 3.53343002e-02 -1.45140275e-01 -6.23602900e-05 2.55987421e-02 -1.15591325e-02 -1.54887082e-03 1.28157930e-02 -1.50633395e-01 -1.78730473e-01 1.77066728e-01 1.77843317e-01 1.10735539e-02 -5.82766486e-03 -1.86416358e-01 -1.02850311e-01 1.96137369e-01 3.01074842e-03 3.59863378e-02 5.77423070e-03 2.05138206e-01 -3.38534042e-02 1.98658425e-02 5.12892567e-03 1.36451885e-01 1.90937787e-01 -5.75729683e-02 1.88015997e-01 1.32394463e-01 1.34473266e-02 4.45348211e-02 1.61688417e-01 2.21003708e-03 2.58923005e-02 -1.59995943e-01 -8.85459855e-02 -3.68731916e-02 4.13953094e-03 -2.78331283e-02 1.73321608e-02 -1.68326616e-01 1.06286690e-01 -1.72331948e-02 1.58904850e-01 1.20694553e-02 5.48836542e-03 -8.66682734e-03 3.24639529e-02 -4.37780796e-03 9.82649401e-02 3.41276303e-02 -7.03071505e-02 2.19536619e-03] [-0.16456276 -0.07865566 0.11610926 0.07129289 0.04905687 -0.01603382 -0.14791861 0.09487008 -0.0111978 0.01117625 -0.17756669 0.00126563 0.02148474 0.05524785 -0.06280311 0.18661532 0.03071285 0.1567189 0.18422367 0.04444244 0.05217422 0.18461527 -0.04483362 0.10134409 0.04977342 -0.00481189 0.00505181 0.01017596 -0.15719198 0.04329148 0.0787857 0.00447455 -0.01843498 0.02781451 0.16011764 0.01912766 0.04973436 -0.14729774 -0.06171923 0.10602324 0.11417672 0.01619854 0.00052906 -0.01336093 0.07268792 0.11539645 0.09666952 0.01576896 0.0289094 0.04127854 0.00472271 0.00645404 0.04630993 0.01401527 0.06784598 0.01354546 0.0955074 0.00491434 0.04616066 0.03881146 0.0672362 -0.14953788 0.1641065 0.06143631 0.07910688 -0.06403878 0.01547134 0.11722706 0.03746095 -0.1468035 0.08451467 0.08812255 -0.01136975 0.06327461 0.0432097 0.01356723 0.13186061 -0.1408605 -0.00928019 0.16177629 0.00562618 -0.00192727 0.01731599 -0.1573787 -0.12419802 0.17392938 0.04727019 0.02327589 0.01491382 -0.12581757 -0.15885895 -0.19730558 0.00842373 0.06222652 0.03253761 0.0347706 0.06878189 -0.03838599 0.01488421 0.11242698 0.08256055 0.16872232 0.18361677 0.05077239 0.02903652 0.03599592 -0.07528731 -0.00900374 0.04850603 0.17911255 -0.18088049 0.03028249 0.04047118 -0.05677108 0.0342424 -0.14935541 0.02382085 0.02460672 0.07296284 0.0084172 -0.02365924 0.00317648 0.00362597 -0.00613882 0.09320206 0.05837357 0.00678737 0.01945926] Cos Similarity tf.Tensor(0.30581963, shape=(), dtype=float32) (128,) (128,) [ 0.01017819 -0.20738836 -0.01714238 0.14560245 0.02273511 -0.0229424 0.02307966 -0.03756285 -0.00268123 0.00322669 0.06715038 0.01208439 0.01759123 0.12449437 0.10800353 0.10432035 -0.00662794 -0.00848903 0.09253538 0.01307587 0.12119947 -0.06681003 0.05923216 -0.02984169 0.02062769 0.00475628 -0.00171264 0.01562554 -0.02689396 0.02402993 -0.18068977 0.16560008 0.00474335 0.03552688 0.1516398 0.01531535 0.02603531 -0.08110546 -0.02379682 0.10326521 -0.12537113 -0.01676744 -0.00264857 0.0070485 -0.01703815 0.06552577 0.00809755 0.01973713 0.01738935 0.0163618 0.00765851 0.01179468 0.01899684 0.02749502 0.04423913 0.01894824 0.14817645 -0.025614 -0.00702511 0.01376214 -0.11569472 -0.00658609 0.18609717 0.02411991 0.08121805 0.18463482 0.00717882 -0.03676272 0.02834853 -0.11177542 -0.17724602 -0.0672215 0.01045419 0.03999203 0.02015356 0.01603496 0.16145808 -0.16472366 0.02174491 0.08218816 0.0065961 -0.07868896 0.00581294 -0.02991924 -0.06647901 0.12673429 0.17422321 0.01843354 0.00607848 0.20768799 0.18276998 0.10070992 0.01330932 -0.00128934 0.02707477 -0.11789301 -0.1882433 -0.18720156 0.0051459 -0.08792838 0.01278094 0.03876213 -0.13975455 0.07487427 0.00597325 0.02431037 0.1201761 0.00988546 0.03411674 -0.11831966 0.13853489 -0.21328156 0.03065499 -0.19172859 -0.07551784 0.034716 0.00764406 0.01904796 -0.06136594 0.00583472 -0.01221716 0.20905718 -0.00244074 -0.01980677 -0.18329744 0.08943895 -0.07934307 0.00999065] [ 5.31494878e-02 1.50016591e-01 5.56594469e-02 -8.97783935e-02 1.04412800e-02 -7.69836456e-02 -8.19006935e-02 -1.34584963e-01 -2.64746435e-02 7.34431727e-04 -1.91961184e-01 -1.27116358e-02 1.55982180e-02 1.09469965e-01 6.40101805e-02 3.67448069e-02 3.19015980e-02 8.69057924e-02 7.73068005e-03 6.81989715e-02 -2.79751793e-02 -2.02548519e-01 1.60481423e-01 -1.67303681e-01 1.40089914e-02 -1.27037475e-02 1.76655963e-01 -1.86334364e-03 9.62579697e-02 -6.77940995e-02 -2.06752047e-01 2.56116297e-02 4.48363386e-02 3.87927741e-02 -2.61134785e-02 3.70384306e-02 2.91317515e-02 -9.85768139e-02 -1.19606340e-02 -1.82697829e-02 1.25535475e-02 -2.51780674e-02 9.14308894e-03 -6.22677198e-03 8.17628130e-02 1.17530577e-01 2.06719013e-03 3.09093148e-02 2.25158408e-02 2.78262198e-02 7.60620181e-03 2.07845611e-03 1.52936699e-02 2.26301327e-02 1.28783090e-02 1.69920754e-02 3.17605250e-02 1.39578907e-02 1.24700367e-04 2.04014573e-02 -1.76342234e-01 9.12751630e-02 1.94702759e-01 3.63349691e-02 -9.14487839e-02 1.02996781e-01 1.69849419e-03 -1.39803633e-01 1.12825856e-02 1.62875891e-01 -2.28280388e-02 1.29199535e-01 -7.33276596e-03 2.23185513e-02 -3.70606943e-03 1.18830753e-02 -5.92250861e-02 -3.30457948e-02 -2.80992757e-03 1.97704628e-01 8.30841996e-03 5.30178566e-03 5.55428956e-03 1.44417241e-01 -1.52425721e-01 2.53908392e-02 -1.15697891e-01 3.83317121e-03 2.29742890e-03 1.93032816e-01 -1.09558828e-01 1.67734206e-01 3.12580727e-02 2.20590066e-02 2.60736626e-02 1.99285001e-01 -1.41244575e-01 -1.14289381e-01 1.27807613e-02 7.69878998e-02 2.85587125e-02 -1.82611257e-01 1.91742167e-01 9.91342515e-02 9.15575866e-03 3.60755110e-03 1.52793109e-01 2.11452302e-02 2.49899104e-02 -2.19193697e-01 6.53847829e-02 1.33624654e-02 1.66476816e-02 -5.48220240e-02 -4.18637730e-02 -1.63445086e-03 6.20424142e-03 -6.65336847e-03 1.13397121e-01 1.50114587e-02 -1.95689909e-02 -6.81697018e-03 3.66544686e-02 -1.15213525e-02 -1.66277185e-01 7.94331729e-02 -5.01111485e-02 5.46274800e-03] Cos Similarity tf.Tensor(0.23521113, shape=(), dtype=float32)
(128,) (128,) [-0.049927 0.08942525 0.11564949 0.00670642 0.02783943 0.03034925 -0.03597923 0.05755669 0.02415076 -0.00830173 -0.24291304 -0.0120011 0.00197407 0.09455617 0.12557042 -0.11981091 0.02536472 0.22146 0.10847419 0.02256006 -0.17021284 0.13366847 0.12128927 -0.1460407 0.03707619 -0.00920484 0.03112279 0.00558541 0.16299869 -0.25852633 -0.03400153 0.09661969 -0.04176549 0.01374596 -0.08950173 0.02069293 0.01182431 -0.12378732 -0.02532608 0.17658487 0.19188106 -0.01312624 -0.00291113 -0.01054572 0.05257926 0.03940377 0.15150301 0.00418959 0.01416956 0.01594347 0.00724485 0.00505593 -0.00978027 0.00956502 0.03251931 0.01185773 0.09830482 -0.00931522 -0.02819772 -0.00058973 0.15274444 -0.18703386 0.01456397 0.00827017 -0.12984495 0.04698801 -0.00278641 0.02198721 0.02356672 -0.08239224 0.05576288 0.18785402 0.00555256 0.01400611 0.02574146 0.01999365 0.06952764 -0.18183243 -0.01174696 0.03178226 0.00659857 -0.00220966 0.01089794 0.11184647 -0.13562895 -0.02469957 0.21218252 0.01034542 -0.01783994 -0.02469505 0.14991519 -0.00851768 0.00333457 0.00030258 0.01582932 -0.04079292 -0.01586598 0.0822821 -0.00035167 0.00547473 0.14040183 0.06243999 -0.02599154 0.07466514 0.00096668 0.01648048 0.11879659 -0.00709048 0.00950532 -0.20115107 0.09221365 0.04096254 0.01005731 -0.02981248 -0.03263799 0.21581069 0.0906515 -0.0007883 -0.09084383 -0.02939138 0.00154734 -0.00659227 -0.01632226 -0.02070767 -0.1924368 0.05350076 0.09867591 0.01839586] [-0.05132888 0.05861536 -0.01432656 0.16300935 0.00329239 0.1062078 -0.05570455 0.08101266 0.01068042 -0.00594759 -0.21852852 -0.0232815 0.01483999 0.08589052 0.1138518 -0.14071187 0.00900105 0.16199023 0.19185786 -0.02828372 -0.11397447 -0.21912235 -0.0137693 0.0200563 0.01185687 -0.00528789 0.0985539 -0.03078571 0.10505681 -0.22949888 0.02600925 0.17291197 -0.00631023 -0.01728849 -0.17206956 -0.01193658 -0.01576805 -0.01953263 -0.00733094 0.07605775 0.12886754 0.0044019 -0.00456829 -0.00902423 -0.02386809 0.09929422 -0.05631693 -0.00103432 0.01167581 0.02332573 0.0077072 0.00888586 -0.0195637 0.01254415 0.00245529 0.00991877 -0.00855107 -0.01344333 -0.0100672 -0.01757476 0.17157587 -0.16193755 0.09500496 -0.01407886 -0.06809488 0.0277257 -0.02087035 0.12662773 0.01275193 -0.19935812 0.01691912 -0.05977837 0.00514233 0.00935235 0.00373368 0.0187321 0.08995179 -0.10980329 0.00064706 0.0098828 -0.01814405 -0.01085295 0.00133244 0.10203283 -0.10879198 0.15468697 0.2262807 0.00564508 -0.00603535 0.06140619 0.09627261 0.1070414 -0.00089737 0.01200422 0.00820084 0.13697858 0.17143103 -0.13155343 -0.0145831 -0.0972788 0.01827636 -0.09497439 0.16725163 0.09271252 0.00260644 0.00251173 0.10990762 -0.00377294 -0.00543253 -0.17469724 0.16271381 0.05132024 -0.00882062 0.05751643 -0.01326054 0.21497461 -0.0156104 0.00419728 -0.05992599 -0.03057903 0.00845402 -0.04319016 -0.00028711 -0.02280978 -0.17641869 0.05356203 -0.00514078 -0.00419723] Cos Similarity tf.Tensor(0.61705196, shape=(), dtype=float32) (128,) (128,) [-1.20513387e-01 -2.87090242e-02 -2.87843049e-02 -6.91671744e-02 -3.55458382e-04 1.42728597e-01 1.10293940e-01 1.67343765e-01 1.81487296e-02 -7.64628081e-03 1.56027481e-01 5.33225294e-03 -7.08174310e-04 9.99631435e-02 -3.23730931e-02 -1.79579854e-01 -4.53639217e-03 1.15847439e-01 4.31473590e-02 -7.30186477e-02 6.18074834e-02 -1.07078582e-01 -9.88488197e-02 -1.02079762e-02 -1.22958310e-02 -2.09376472e-03 1.77441984e-01 -1.77068729e-02 1.35883048e-01 1.74111366e-01 2.57637762e-02 -1.30638964e-02 -1.79476421e-02 -2.40311921e-02 -1.81511506e-01 -2.04825290e-02 -2.23971047e-02 6.93617985e-02 -1.27878422e-02 1.04033090e-01 1.77307874e-01 2.90272478e-03 2.94060470e-03 8.00182484e-03 9.57873911e-02 1.49491757e-01 1.62951469e-01 -5.29505871e-03 4.60603088e-03 1.78858079e-02 1.20298273e-03 1.11250486e-02 -1.18138948e-02 2.57616327e-03 -8.66938289e-03 4.41962015e-03 7.60550573e-02 -1.60553176e-02 3.04399850e-03 -4.28816630e-03 1.11507893e-01 -1.01291746e-01 1.14459328e-01 4.98057343e-03 -2.02057853e-01 -1.88235238e-01 -2.05741916e-03 4.91219163e-02 -6.15504032e-05 1.77762628e-01 1.76825941e-01 1.48858204e-01 -3.70777375e-03 1.97517052e-02 -4.58253827e-03 2.49991403e-03 1.19273746e-02 1.23732507e-01 6.26553968e-03 1.17729567e-01 -1.96636990e-02 -2.07134942e-03 -1.86382770e-03 -2.95387283e-02 -1.17833674e-01 -2.97804922e-02 -6.86941370e-02 1.23918047e-02 -1.54671324e-02 3.12013160e-02 -1.71704426e-01 1.97811365e-01 -1.18357362e-02 2.03547115e-03 5.00986399e-03 -1.01109436e-02 -1.34129629e-01 1.05157821e-02 1.18006635e-02 1.78006887e-01 9.66778323e-02 7.20399544e-02 9.02060196e-02 -1.17351465e-01 2.05603405e-03 1.72338672e-02 -2.07187772e-01 9.28256940e-03 -5.15979948e-03 1.28137246e-01 -1.09790742e-01 -2.06433162e-02 9.55420139e-04 5.76363206e-02 4.29585464e-02 -7.59563455e-03 -2.45128814e-02 -2.72499472e-02 -1.35735333e-01 1.98384951e-04 -1.18244789e-03 -1.39154330e-01 -4.48225392e-03 -2.78421193e-02 -1.76107347e-01 -1.24839291e-01 -7.36159384e-02 -4.77703987e-03] [-7.05766976e-02 -1.96423642e-02 -2.81637516e-02 1.18268885e-01 6.78577833e-03 1.67595521e-01 3.83594632e-02 2.34589845e-01 -2.91141309e-03 7.62530928e-03 4.86184889e-03 -6.89010788e-03 4.73112706e-03 -8.90741423e-02 -5.13218753e-02 -8.88331532e-02 -1.62188001e-02 -4.33425456e-02 -1.42580628e-01 -1.55731276e-01 3.58948261e-02 -2.43308004e-02 1.12905703e-01 1.53038064e-02 1.90338399e-02 8.06652941e-03 1.35151803e-01 -1.52363982e-02 1.29415795e-01 -1.19626094e-02 3.32765505e-02 -1.24957450e-02 1.30452495e-02 4.60137194e-03 -4.77057286e-02 -1.55679099e-02 -4.22047265e-03 1.91879183e-01 -1.43791428e-02 1.35030538e-01 1.54582292e-01 1.65861566e-02 -1.48988352e-03 1.16975131e-02 1.73813120e-01 7.44888708e-02 2.16203988e-01 4.73137072e-04 -1.68213330e-04 2.78169680e-02 1.42641191e-03 1.04823075e-02 -7.33483816e-03 5.79913799e-03 -1.77048799e-02 2.63886992e-03 -8.31998661e-02 -1.97304208e-02 -3.20104905e-03 1.12816691e-02 -4.17226255e-02 -1.71160460e-01 3.98428626e-02 -8.24511237e-03 -2.36791894e-01 2.36921720e-02 4.30772034e-03 -9.06483904e-02 1.82757387e-03 1.61445320e-01 -6.17927238e-02 2.57969290e-01 -2.79486855e-03 1.16539821e-02 -5.07825008e-03 5.54973911e-03 -4.82197590e-02 1.38976991e-01 2.68806820e-03 -1.56442132e-02 -3.07350587e-02 -2.79550767e-03 6.39432762e-03 -1.77127577e-03 -1.60032794e-01 1.21391580e-01 -3.54392566e-02 7.40085589e-03 -1.18189314e-02 -3.36892940e-02 -5.50799482e-02 1.26855716e-01 9.23722051e-03 -3.50577873e-03 1.89176966e-02 4.74463291e-02 -1.63064763e-01 5.28973751e-02 -2.24883566e-04 4.00048718e-02 1.50719434e-01 1.99089751e-01 5.62958680e-02 -2.53567589e-03 -8.39213282e-03 1.07059292e-02 -2.54923612e-01 -4.65935376e-03 -8.64230469e-03 -4.58721071e-02 2.69749644e-03 1.12196743e-01 1.43120764e-03 2.08599791e-01 -8.32912996e-02 5.51173575e-02 -4.06345949e-02 -1.41345533e-02 -2.26249341e-02 -1.77496374e-02 -1.36021962e-02 6.16550073e-02 8.22084583e-03 -1.54415015e-02 -2.46102631e-01 -8.65749717e-02 -1.29337773e-01 -2.83596832e-02] Cos Similarity tf.Tensor(0.58978343, shape=(), dtype=float32) (128,) (128,) [ 0.15949616 -0.01882437 0.07102582 0.1773974 0.01588237 -0.05842431 -0.0938857 0.13419202 0.01525874 -0.00612616 0.19776684 0.00622494 0.00209132 -0.01359077 0.06144803 0.02931835 0.00856131 0.07857678 0.1471348 -0.02058925 -0.06166159 -0.02004346 0.04904319 0.134118 -0.01617592 -0.01438829 0.16813563 0.01154954 0.09296644 0.13230193 0.13786927 0.03447138 0.00677727 0.00891792 -0.03576649 0.00226693 0.02048831 0.10566883 -0.01615535 0.12985909 0.02480132 0.01467227 0.00162301 0.01299545 -0.0210923 0.12664184 0.09450258 0.00851293 0.00929881 -0.00377706 -0.00209612 0.00159309 0.00089599 0.01399678 0.01414568 0.00978341 0.15381263 0.00677493 0.00222506 -0.00514202 0.15433608 0.10012565 0.10859151 0.01508631 -0.16142683 0.19446237 0.00367639 -0.15505737 0.00797586 0.14676762 0.15947458 0.17932986 0.00193696 0.03355432 -0.01711788 0.00836358 0.13009194 0.05606294 0.00335967 0.06666607 0.00185659 -0.00088831 0.00435847 0.03036632 0.1638195 -0.01570956 0.15132013 0.00286264 0.00203842 -0.05847527 -0.1799819 -0.09241261 -0.00469576 0.0144899 -0.00151599 0.18208455 -0.18599889 -0.05014709 0.00647591 0.14242333 -0.02165842 -0.15643181 -0.15558228 -0.04753875 0.00411239 0.0070228 -0.16777022 0.00701164 0.01452061 0.17417215 -0.07291575 -0.17822036 0.01428788 -0.08762547 -0.00469073 0.08174589 -0.14392373 -0.02149687 0.16988207 0.00093217 -0.00556944 -0.08911604 0.00950541 -0.01119198 0.09181032 -0.0134303 -0.00375151 0.00552747] [ 9.61515382e-02 -7.81799480e-02 4.75104824e-02 7.50877187e-02 -8.45682994e-03 -1.29767612e-01 4.29077074e-02 1.42721340e-01 8.33738595e-03 -8.55917949e-03 1.87883988e-01 1.12695191e-02 -6.65165484e-04 2.51607001e-02 1.75816510e-02 -9.92379412e-02 -1.73844304e-02 -5.86552247e-02 -3.41452006e-03 5.43603383e-04 -4.09943722e-02 9.05598402e-02 2.96758339e-02 1.21119037e-01 -2.33262181e-02 3.41512798e-03 8.84936750e-02 4.28005075e-03 -7.63407126e-02 1.32597595e-01 -2.46361978e-02 9.39232260e-02 6.27335161e-03 -2.68077087e-02 -1.63391843e-01 7.69896107e-03 1.41484302e-03 -1.16839632e-01 3.39269079e-03 9.22897160e-02 1.82944819e-01 3.67663358e-03 1.77302898e-03 1.54451001e-02 6.81867003e-02 1.71632558e-01 1.31029144e-01 8.34209006e-03 -1.03822537e-03 1.56071046e-02 9.73689486e-04 4.48339852e-03 -2.14690063e-02 5.74576529e-03 -2.04375549e-03 5.82339568e-03 1.90575197e-01 1.20067680e-02 2.00156891e-03 -4.17182967e-03 -1.05959894e-02 -5.05185537e-02 4.68810350e-02 9.25291795e-03 -1.86390892e-01 1.02213077e-01 3.90897330e-04 8.90426338e-02 1.09425899e-04 1.78967848e-01 1.46106794e-01 -1.19387597e-01 6.16388104e-04 1.53664770e-02 -1.33030415e-02 1.46825463e-02 1.88292041e-01 -8.85262042e-02 5.59825823e-03 1.65473089e-01 -9.32046387e-04 -1.36026018e-03 4.84382641e-03 -6.30740821e-03 1.72270015e-01 1.61492437e-01 9.46695730e-02 9.48541518e-03 -1.09228948e-02 -5.98854907e-02 -1.71119630e-01 7.24824369e-02 -8.57549813e-03 1.37657598e-02 -2.23930925e-03 1.49550185e-01 -1.49734870e-01 3.26562412e-02 5.49537130e-04 1.30307615e-01 1.71346873e-01 -1.13578215e-01 -1.60446569e-01 -1.96741030e-01 -1.73803506e-04 8.85119196e-03 -1.71241596e-01 8.20233487e-03 -3.23730614e-03 1.89123124e-01 -2.09001335e-03 -1.85664639e-01 -4.46780631e-03 -8.14433843e-02 -2.57722493e-02 -6.70578033e-02 -1.17169417e-01 -4.39906381e-02 1.75134614e-01 -2.02552043e-02 -1.18477888e-04 2.58594900e-02 3.66275781e-03 -2.02338062e-02 1.33335054e-01 4.00034562e-02 -6.14119694e-03 6.32729614e-03] Cos Similarity tf.Tensor(0.6385894, shape=(), dtype=float32) (128,) (128,) [-1.05283588e-01 8.08060914e-02 -7.03108236e-02 1.89647824e-01 -2.31916411e-03 -1.10837519e-01 -4.99175750e-02 -2.37195820e-01 -4.44306480e-03 6.26005931e-04 1.47679478e-01 -8.25843681e-03 2.52694748e-02 -3.76305431e-02 -2.63704620e-02 -4.49586436e-02 8.06454942e-03 -6.56936243e-02 2.67756060e-02 -2.50657368e-02 1.49690300e-01 -1.20324351e-01 -1.72764122e-01 1.06148943e-01 -9.70013998e-03 1.03925150e-02 7.15812296e-02 -3.79477220e-04 9.85518470e-02 -5.90114892e-02 1.92631379e-01 8.91210511e-02 -7.72277405e-03 -8.44464451e-03 -1.65400043e-01 4.28547859e-02 -2.03218218e-03 -7.29642585e-02 9.65807773e-03 1.12673886e-01 -5.61277010e-02 2.63030594e-03 -4.41162474e-03 6.02289988e-03 2.01128796e-02 -8.44051912e-02 6.93394523e-03 -3.09277908e-03 2.00529359e-02 1.82287227e-02 6.19412353e-03 -2.32517486e-03 -1.26674874e-02 -1.39905111e-04 -1.92956589e-02 -6.71085960e-04 6.28728196e-02 -1.07643334e-03 -4.37899446e-03 1.10591985e-02 -1.56323053e-02 2.31255308e-01 3.59171219e-02 3.77904787e-03 -2.62730867e-02 1.42198920e-01 -3.36569245e-03 2.13934034e-01 -2.07957532e-02 1.97743475e-01 -2.08882801e-02 1.57259002e-01 -1.01923465e-03 5.32839401e-03 -1.06816450e-02 6.25634659e-03 -2.43691429e-01 -6.64471835e-02 -2.13239156e-03 -5.85878789e-02 -1.01086814e-02 -2.61122081e-02 -1.93341095e-02 2.10414022e-01 -6.55901283e-02 -1.57289699e-01 -1.52457550e-01 3.09281470e-03 -1.05344532e-02 1.13846920e-01 -1.89798146e-01 1.34220615e-01 -2.46572252e-02 -3.79695324e-04 -2.53162831e-02 9.30380449e-02 2.00104248e-03 3.82344238e-02 8.08338448e-03 2.32477918e-01 -1.71051010e-01 -8.19814578e-02 1.25778556e-01 8.24208185e-03 5.81158651e-03 -1.60779189e-02 1.61949292e-01 -8.05318542e-03 -2.04434432e-03 -9.21122879e-02 2.79174671e-02 1.06211394e-01 -3.94658893e-02 -9.17434692e-03 1.97396204e-02 -1.55266777e-01 -4.06261124e-02 8.52136966e-03 8.38457197e-02 5.48029225e-03 -2.18816567e-03 -2.92232484e-02 2.19226442e-02 -2.75167935e-02 1.04334198e-01 -1.74866039e-02 -3.55485044e-02 -1.35607524e-02] [-0.0341339 0.10094146 -0.10801368 0.09223063 -0.00154192 -0.11001882 -0.03251527 -0.23220652 -0.00733825 -0.00513706 0.18273248 -0.01258827 0.0260494 0.15803318 0.08330701 0.1070428 0.00428849 -0.12013994 0.08105253 -0.04396835 0.15062606 -0.0197942 -0.14803511 0.09015971 -0.00787307 0.00833769 -0.0890615 0.01262939 0.1712511 -0.13740036 -0.04718283 -0.01759312 -0.0009272 -0.00677101 0.13562854 0.03283795 -0.00201452 -0.15464966 -0.00324903 0.04506671 -0.11965246 -0.00303323 -0.00205233 0.03199313 0.02654372 -0.12812535 -0.03193303 0.00235852 0.01419788 0.00847446 0.01303971 -0.0103981 -0.01710204 0.00947768 -0.00994655 -0.01584031 0.20926687 0.0021699 -0.00153967 0.01556642 0.10620198 0.20622474 -0.13666487 0.00296552 0.00102541 0.05306876 0.00056599 0.17176042 -0.01389168 0.18032438 -0.09210221 0.03190072 0.00506465 0.00087242 -0.00580764 0.01988627 -0.23248465 -0.07879862 0.01046741 -0.05769353 0.00298056 -0.04047862 -0.01079394 0.23806317 0.00146709 -0.19476281 -0.09430178 0.00407646 0.00111664 0.04967427 -0.14106578 0.1656502 0.00049811 0.00078816 -0.01659531 -0.15022497 0.02886951 -0.14064701 0.00942974 0.19426404 -0.01478263 0.05322719 0.00854507 0.12529917 -0.00528241 -0.01128027 0.11148316 0.00169143 -0.00990094 0.03097612 -0.04816293 0.16191548 -0.04007154 0.00328749 -0.00415812 -0.05686029 -0.12359417 0.01857694 0.1286396 -0.03186904 -0.00054306 0.06970237 0.02750368 -0.02024481 0.00297592 0.09323406 -0.05496889 0.00109261] Cos Similarity tf.Tensor(0.6559292, shape=(), dtype=float32) (128,) (128,) [-5.76505475e-02 2.67043263e-02 4.48721908e-02 4.03157249e-02 8.03869125e-03 -8.85350816e-03 -5.55159040e-02 2.20007613e-01 -1.20204007e-02 -4.42851633e-05 -1.73078537e-01 -4.77521069e-04 6.66954881e-03 1.68831721e-01 3.38297077e-02 -1.57614484e-01 -1.00566549e-02 1.65937454e-01 -1.15803801e-01 2.03853045e-02 -1.92753255e-01 1.26710221e-01 1.30051762e-01 3.62985134e-02 9.59445257e-03 5.43223182e-03 1.42927423e-01 -2.15539038e-02 1.61326885e-01 -8.96409750e-02 8.43835920e-02 -4.44371207e-03 2.92067835e-03 -3.31623742e-04 1.67761177e-01 1.59054983e-03 -2.21709386e-02 -1.10974289e-01 1.84180087e-03 4.18591388e-02 1.21461347e-01 6.72873063e-03 -5.72005240e-03 -1.68530997e-02 2.07236201e-01 -5.22031114e-02 -1.69913564e-03 -8.12861044e-03 -4.65920893e-03 1.26746204e-03 8.33422597e-03 8.31742398e-03 -1.51406489e-02 1.47705618e-03 -1.97221637e-02 1.03590153e-02 1.23104580e-01 -5.64171141e-03 -1.43650854e-02 -1.69110242e-02 -1.19403340e-01 -1.30658463e-01 -5.24778403e-02 -2.15387680e-02 1.77392796e-01 -3.84533033e-02 -7.85388798e-03 6.41620234e-02 -1.94808599e-02 -1.11946642e-01 -2.01577425e-01 9.55524966e-02 4.64732433e-03 7.88024440e-03 7.08072539e-03 -1.39206764e-03 -7.04631349e-03 1.60540976e-02 1.17867964e-03 1.21876923e-02 -1.56791266e-02 -1.82253774e-03 -3.43339960e-03 -1.37481838e-01 -1.35924876e-01 -1.13543244e-02 7.48607889e-02 1.69600185e-03 -7.43158208e-03 -8.72767046e-02 7.58448914e-02 -5.98565154e-02 2.04653805e-03 1.02145793e-02 -1.62635231e-04 7.41257891e-02 1.69241652e-01 -1.15176208e-01 -9.56135429e-03 -1.37422889e-01 -2.03086033e-01 -1.01876676e-01 -1.10889994e-01 6.90402240e-02 -5.35898656e-03 -1.50529733e-02 -1.29904300e-01 -2.44144350e-03 -1.34679982e-02 -1.71269417e-01 1.66013017e-01 -1.18415691e-01 1.51053839e-03 -1.54956639e-01 -2.84288526e-02 1.73488319e-01 -1.82756752e-01 4.60476847e-03 5.30465320e-02 -1.16623817e-02 1.56173017e-02 5.34405634e-02 9.50803980e-04 -2.83833593e-02 1.59053847e-01 1.81302652e-02 1.45657942e-01 -5.33838244e-03] [-2.20166054e-02 3.49384397e-02 4.81947511e-02 8.29678401e-02 2.23309663e-03 6.66208891e-03 6.84349313e-02 2.65897214e-01 -5.97013067e-03 -2.69824034e-03 -8.30376968e-02 -7.18824519e-03 -1.71676129e-02 1.97453156e-01 -1.01836501e-02 -9.96891633e-02 -1.45853506e-02 5.92960455e-02 -1.09942563e-01 2.04586089e-02 -1.85410365e-01 1.71584696e-01 -3.44109279e-03 -1.88384932e-02 1.18136276e-02 7.10564712e-03 1.67207603e-04 -1.03621790e-02 2.08949968e-02 -1.01336080e-03 -1.00779027e-01 -2.21585140e-01 -1.09014160e-03 -1.76571088e-03 1.39442399e-01 3.82859372e-02 -1.01869330e-02 -6.67470247e-02 3.54852015e-03 -9.23387781e-02 -4.50261831e-02 8.24096799e-03 -2.12299684e-03 -1.13379983e-02 2.34462544e-01 1.28286481e-01 5.20100351e-03 -9.01632197e-03 -5.65982191e-03 7.41142454e-03 8.31739232e-03 9.56945028e-03 -1.44691626e-02 -1.56555173e-03 -2.56788172e-02 9.84285120e-03 3.37117687e-02 -1.33997239e-02 -2.86739189e-02 -1.08508989e-02 -1.61017656e-01 -9.40867737e-02 2.23831665e-02 -1.96816791e-02 1.52863786e-01 6.59742877e-02 -1.10912519e-02 8.99543241e-02 -2.04876326e-02 -9.06832293e-02 -2.22987056e-01 -8.62093344e-02 6.47397852e-03 1.93777459e-03 7.44693680e-03 -4.51453635e-03 -1.57420561e-02 -1.34783372e-01 -3.16571211e-03 -2.19053164e-01 -1.82735398e-02 5.57006039e-02 -4.20019031e-04 5.20002022e-02 7.02568889e-02 -4.22670022e-02 1.87047087e-02 7.61094620e-04 -1.06677907e-02 -1.26575291e-01 3.85646224e-02 -1.73609123e-01 -7.47110927e-03 1.52500337e-02 4.36052401e-03 -9.42023024e-02 1.17678389e-01 -1.42313102e-02 -1.03894006e-02 7.15372264e-02 -2.45853424e-01 7.67435431e-02 -1.79120496e-01 9.08138752e-02 -9.35747754e-03 -1.86036546e-02 -1.62059680e-01 6.58026990e-03 -2.09845249e-02 -1.03205830e-01 3.72540299e-03 2.90828496e-02 2.38499534e-03 -1.12151727e-01 -3.44350301e-02 1.79467916e-01 -1.85853228e-01 7.59909675e-03 -6.85884133e-02 -1.78239793e-02 1.20794643e-02 8.81341621e-02 -5.48397517e-03 -1.45915495e-02 1.95500851e-01 4.73026745e-02 1.80770501e-01 -8.05845018e-03] Cos Similarity tf.Tensor(0.6381189, shape=(), dtype=float32) (128,) (128,) [ 5.86380996e-02 1.08803779e-01 -6.02495447e-02 -1.82867855e-01 -3.22993360e-02 6.73993230e-02 -1.57658502e-01 -2.40484118e-01 3.28505901e-03 -1.18477568e-02 -1.55719876e-01 -2.78694415e-03 -5.30007761e-04 -6.80073947e-02 1.14248946e-01 -7.15745315e-02 -3.96228535e-03 -8.70565921e-02 1.29509404e-01 -2.01332599e-01 1.55696973e-01 -6.69006482e-02 5.28474301e-02 1.05545223e-01 1.04032317e-02 2.16237479e-03 -1.32220685e-01 -3.07053477e-02 -1.31840900e-01 2.07002118e-01 -3.14321718e-03 -1.62718728e-01 3.50778271e-03 -3.84716839e-02 -5.12419343e-02 -4.31014374e-02 -2.13457807e-03 2.66543329e-02 -4.53825062e-03 -1.01328894e-01 7.48453289e-02 5.63651649e-03 -2.44049113e-02 -4.69627278e-03 -6.65295944e-02 1.04989499e-01 -8.06934461e-02 -7.06695532e-03 9.54563450e-03 -7.12622888e-03 4.98657115e-03 1.88627909e-03 -2.15999149e-02 4.41646902e-03 -1.83951147e-02 2.87584634e-03 -4.55380455e-02 2.97480053e-03 1.86947203e-04 -8.26003123e-03 4.22896631e-02 1.00118987e-01 6.83394596e-02 -1.46671720e-02 -4.98826392e-02 -4.34994474e-02 -2.17976458e-02 -1.98659860e-02 -2.40004379e-02 -2.35682279e-01 1.01655826e-01 -6.98747858e-02 7.08433753e-03 -2.02491530e-03 -1.22896675e-02 4.72733472e-03 -1.62847504e-01 6.18885504e-03 -1.01334217e-03 -1.73017625e-02 -1.71919670e-02 1.27331495e-01 2.17288616e-03 -1.39543444e-01 5.30137345e-02 -1.64823234e-01 6.57273605e-02 -2.16589942e-05 -6.34769676e-03 -1.75291106e-01 1.54816173e-03 2.50489041e-02 8.73353239e-03 7.47602573e-03 -2.85364352e-02 6.26174035e-03 -1.65202036e-01 -2.18243971e-01 -1.12999938e-02 -1.55521780e-02 8.50365162e-02 1.09466098e-01 -2.03725353e-01 4.57452834e-02 -1.27654392e-02 1.82837190e-03 1.48895651e-01 5.56517616e-02 -2.24796310e-02 -8.12631939e-03 -2.31021300e-01 -1.31892681e-01 -1.94762591e-02 1.60837889e-01 5.82047254e-02 -1.60313785e-01 6.56822547e-02 -1.17729837e-03 -1.27670065e-01 -6.30595442e-03 4.12949920e-03 7.88257048e-02 1.21552460e-02 1.62227023e-02 -4.00575101e-02 2.17285492e-02 9.00722519e-02 -1.52100092e-02] [-4.24546786e-02 1.22238003e-01 4.44850102e-02 -1.56400353e-01 -2.37668306e-02 6.39301687e-02 -1.42565846e-01 -2.11574063e-01 9.06322338e-03 -9.17440653e-03 -1.96341857e-01 -4.56479331e-03 6.95778057e-03 -2.87258700e-02 -2.61063949e-04 -4.67218347e-02 6.03322638e-04 -1.70858800e-01 5.45323603e-02 -1.51397884e-01 1.40950516e-01 -3.71954963e-02 -4.56117429e-02 1.21831715e-01 1.35729806e-02 1.74321269e-03 -1.22905590e-01 -1.90662183e-02 -1.08610354e-01 1.91085085e-01 -1.20799970e-02 -4.81920689e-02 5.47154201e-03 -5.83732687e-03 1.27662167e-01 5.29905595e-03 -1.72402663e-03 5.68405772e-03 4.84534772e-03 -6.57647774e-02 -4.39605908e-03 7.25566503e-03 -1.56691764e-02 -5.18987607e-03 -3.70733216e-02 -3.57540548e-02 -1.52310461e-01 4.60992102e-03 1.03694787e-02 -9.51091386e-03 4.93174559e-03 2.84665590e-03 -1.66932326e-02 3.67613439e-03 -1.13956453e-02 -3.69375601e-04 -4.90522273e-02 -3.68572748e-03 9.59959254e-03 2.05895514e-03 5.38710244e-02 6.85426593e-02 3.70588526e-02 -2.22688299e-02 -6.64796084e-02 -2.91776210e-02 -1.81523506e-02 4.27677706e-02 -1.50978435e-02 -2.24376068e-01 -1.99665669e-02 -1.39525205e-01 7.14075565e-03 -1.01741655e-02 -9.67622735e-03 9.22172703e-03 -1.28925145e-01 -1.35444865e-01 2.36661057e-03 1.56327933e-01 1.16281561e-03 1.07737437e-01 8.24864674e-03 -2.10253850e-01 9.85936001e-02 -1.24116078e-01 2.08461694e-02 6.24406198e-03 -1.17179379e-03 -2.11939722e-01 1.70716681e-02 1.08716011e-01 2.49033030e-02 -5.43571496e-03 -7.93314818e-03 2.04196908e-02 -8.89309868e-02 -2.12037429e-01 -5.52785629e-03 6.91822246e-02 1.65982947e-01 1.12963498e-01 -1.71448976e-01 4.89627905e-02 -5.19886008e-03 -4.28892532e-03 1.85569867e-01 1.55078555e-02 -1.24561628e-02 -1.70646727e-01 -2.08038703e-01 1.75938278e-01 -1.43996319e-02 1.16325498e-01 3.36349905e-02 -6.45628497e-02 8.71624202e-02 3.38996155e-03 -1.94229841e-01 2.85673537e-04 -3.28429113e-03 8.38897377e-02 1.57828666e-02 9.71536429e-05 -5.98481484e-02 3.36110070e-02 6.52123392e-02 -6.81596482e-03] Cos Similarity tf.Tensor(0.79325426, shape=(), dtype=float32) (128,) (128,) [-8.37306231e-02 4.90318574e-02 1.36584705e-02 -1.07277058e-01 -1.54323410e-02 -3.65020637e-03 5.58464192e-02 -2.36715764e-01 -1.74496677e-02 -5.53121511e-03 1.25030532e-01 -1.03209643e-02 9.87540092e-03 7.67977610e-02 2.84232646e-02 -1.02855094e-01 1.96132101e-02 -2.81290058e-02 1.76479071e-01 6.87879836e-03 -7.42021427e-02 -1.78662956e-01 1.91118643e-01 3.96461487e-02 1.76360104e-02 -7.00696954e-04 -2.76878811e-02 6.83060195e-03 7.67016858e-02 1.24737576e-01 -1.99755386e-01 1.56629980e-02 2.49593593e-02 7.04775937e-03 1.95940509e-01 -1.35715846e-02 6.39210362e-03 -6.71160147e-02 6.85099233e-03 -7.32399970e-02 3.32480005e-04 -9.47054359e-04 -6.70916680e-03 1.29636275e-02 -3.34870033e-02 8.31386223e-02 -1.90788209e-01 6.30468503e-03 1.12956716e-02 1.39850788e-02 3.59244412e-03 4.82945889e-03 -2.11669598e-02 1.14077069e-02 -2.25364007e-02 1.43066049e-03 -1.25623913e-02 -9.18379461e-04 -7.30337924e-04 -1.62699947e-03 -2.98706796e-02 8.67815875e-03 -1.13032699e-01 -3.62173747e-03 1.67997211e-01 -3.92147824e-02 -7.03070452e-03 -1.05456837e-01 -1.09065278e-02 1.12161033e-01 -8.89427736e-02 -1.26174511e-02 -4.35287459e-03 2.92186975e-03 -7.68492324e-03 4.52885032e-03 6.66327327e-02 1.55844912e-01 -7.84939807e-03 4.06412482e-02 -7.92855490e-03 -1.29259760e-02 6.61127130e-03 -1.47888035e-01 -1.68253377e-01 -1.73189938e-01 1.73464492e-01 4.39679902e-03 -6.62166975e-04 1.95462689e-01 2.18135566e-02 -3.94425653e-02 8.90447106e-03 2.94070691e-03 8.13475752e-04 8.03435743e-02 1.30876318e-01 -1.54830575e-01 -2.09553516e-03 3.24935205e-02 6.13057241e-02 -1.90085266e-02 1.93504959e-01 1.87040031e-01 -3.12205194e-03 1.79133732e-02 1.84311926e-01 -2.15797126e-03 -2.07108504e-04 -1.89642191e-01 -8.26677456e-02 1.69103518e-02 -1.04060946e-02 -1.63553730e-01 2.84447744e-02 1.82302311e-01 2.34471664e-01 5.33360930e-04 1.62927285e-01 1.10277170e-02 1.88719574e-02 -2.58604772e-02 2.27012020e-02 -2.44123377e-02 1.24980092e-01 9.71638132e-03 -5.21989726e-03 -7.13558635e-03] [ 0.04172423 0.03221721 -0.10774513 -0.10789281 -0.01313752 0.00073589 0.06708904 -0.22218628 -0.01911084 -0.00741539 -0.16428664 -0.0110585 0.00896929 0.06808288 0.01370783 -0.09240156 0.01977992 0.0093132 0.2046147 0.01080909 -0.0488244 -0.18403547 0.12637657 0.02496426 0.02213655 -0.00160936 0.01304029 0.0009846 0.11186447 0.12326372 -0.19443116 0.06616793 0.02247153 0.00228432 0.01237779 -0.01105427 -0.00557969 -0.1055439 0.00908263 -0.07642551 -0.02984417 0.00807637 -0.00425255 0.01297228 -0.01045321 0.13586412 -0.19314118 0.00576144 0.01012488 0.01260601 0.00507319 0.00380557 -0.01782989 0.01033466 -0.01876135 -0.00235469 0.15205993 -0.00148627 -0.00381408 -0.00338642 -0.1855173 -0.0750826 -0.12988737 -0.00393672 0.19583696 -0.07078617 -0.0175462 -0.09130744 -0.01013418 0.09979464 -0.11909293 -0.03303725 -0.00397671 0.0029765 -0.00262954 0.0088057 -0.00508993 0.11621673 -0.00744274 0.01414476 -0.00582547 -0.01596639 0.00817611 -0.1749334 -0.17649825 -0.0696379 0.17458591 0.00698321 -0.00339045 0.17734379 -0.06319154 0.10443276 0.01167174 -0.0037067 -0.00095019 0.03689166 0.18862984 -0.16123536 -0.00924333 0.12134859 -0.13319808 0.04768143 0.15597937 0.18151443 -0.00394145 0.01335883 0.13834898 0.01598687 0.00319808 -0.20645921 0.08474882 0.00664553 -0.01377635 -0.13554727 0.0525949 0.08859764 0.14068985 -0.00256468 0.1836214 0.00718861 0.0188804 -0.07046546 0.02557778 -0.0361047 0.08040855 0.02574368 -0.00139682 -0.01001048] Cos Similarity tf.Tensor(0.80553067, shape=(), dtype=float32) (128,) (128,) [ 1.52954951e-01 1.22882426e-01 3.17088664e-02 1.30674928e-01 8.83269403e-03 1.78390685e-02 -1.90134838e-01 1.23622403e-01 -1.40623329e-02 1.05179818e-02 9.85067040e-02 1.52941486e-02 -2.67066639e-02 3.65666521e-04 -1.06840014e-01 -9.24414918e-02 1.99338049e-03 -1.15872063e-01 -2.03963965e-01 -1.18618198e-01 -2.77716871e-02 -1.04132555e-01 -5.73651791e-02 1.34941891e-01 2.60431804e-02 -2.17974582e-03 2.06739470e-01 -2.85897870e-03 -7.60583878e-02 -4.08436358e-02 7.51016289e-02 1.59505099e-01 7.77930859e-03 3.12755220e-02 -5.89849427e-03 3.19018923e-02 1.41104683e-02 1.00170240e-01 1.53285175e-04 1.11639015e-01 3.09648700e-02 -4.36666608e-03 9.38363280e-03 9.82342521e-04 1.82918280e-01 -1.47414452e-03 1.27035916e-01 2.01511551e-02 1.20243141e-02 3.73127800e-03 1.30213909e-02 4.57774568e-03 2.02874299e-02 1.13249375e-02 1.78175475e-02 1.82003230e-02 -1.48743972e-01 -1.78629141e-02 -4.16566990e-03 1.80378128e-02 1.47916496e-01 1.76112160e-01 -1.20136514e-01 1.05318539e-02 -5.53001575e-02 8.20089951e-02 2.42900895e-03 1.24021620e-01 -1.05501581e-02 9.22171697e-02 -1.49258465e-01 -7.99953416e-02 1.38928890e-02 1.62869915e-02 1.53332977e-02 4.88187047e-03 -6.03229515e-02 -1.13072827e-01 -8.45218170e-03 -1.43198118e-01 -9.64780990e-03 5.19945659e-02 -5.77662373e-03 3.72339897e-02 1.91283420e-01 1.28280997e-01 -7.72005394e-02 1.42146338e-04 3.37376073e-03 6.53474778e-02 1.20075136e-01 -3.62696908e-02 7.37969438e-03 2.25015990e-02 -4.79973620e-03 1.24687158e-01 2.03052998e-01 1.43114492e-01 4.80956718e-04 -1.62269473e-01 -1.25382081e-01 4.31660451e-02 -9.11394730e-02 -1.45467371e-01 1.39869275e-02 1.61298681e-02 -7.43389726e-02 7.60418922e-03 1.27549320e-02 -1.12500757e-01 1.41242534e-01 8.19839761e-02 9.89630236e-04 6.94386512e-02 -1.66346300e-02 1.38028085e-01 -1.18591726e-01 -9.48283356e-03 -2.27438390e-01 4.70492814e-04 -7.60883093e-04 -8.39156881e-02 5.19345421e-03 1.35378558e-02 1.73454583e-01 2.27305442e-02 2.46114694e-02 -1.40407803e-02] [ 1.45639807e-01 -1.23271048e-01 1.16777308e-01 -2.94732060e-02 1.32633680e-02 -3.58649231e-02 -1.52792528e-01 -1.15336377e-04 -8.75777286e-03 9.13292356e-03 1.62244022e-01 3.79120335e-02 3.99299823e-02 1.76407229e-02 1.72418907e-01 -1.79557353e-02 2.27195770e-02 1.73994780e-01 -1.84498712e-01 -1.40320912e-01 5.93187995e-02 -1.18487358e-01 1.43976256e-01 -7.93981701e-02 2.46412512e-02 1.70106255e-02 1.97678342e-01 1.10647557e-02 -1.87215373e-01 -7.67605081e-02 1.12568885e-01 1.14939421e-01 3.93087827e-02 3.57924663e-02 6.43186793e-02 2.44083889e-02 -2.34543392e-03 4.74144556e-02 -3.40895839e-02 8.56532454e-02 8.24836791e-02 1.36438932e-03 7.34316790e-03 9.11047310e-03 1.46092355e-01 1.36224598e-01 -1.89013692e-04 3.80600467e-02 2.38072015e-02 -1.15088597e-02 7.75217777e-04 1.36052426e-02 3.57874446e-02 1.81870144e-02 1.94869097e-02 2.28619277e-02 1.87521875e-01 -1.23342732e-03 -4.14371071e-03 1.46801891e-02 2.44618058e-02 -2.51604486e-02 -8.00224170e-02 -6.72745891e-03 -1.17668569e-01 -7.02511072e-02 4.35978221e-03 -1.62774578e-01 3.41221802e-02 -5.91981374e-02 -7.67052919e-02 -1.06253661e-01 -4.25574509e-03 1.47981914e-02 6.05071476e-03 -3.25908661e-02 1.35518342e-01 6.53263628e-02 1.01023130e-02 1.16563492e-01 -5.07538626e-03 -1.10595152e-02 1.51624363e-02 -3.50099918e-03 -4.83378097e-02 -6.54359460e-02 -1.27116159e-01 9.42584220e-03 1.19977631e-02 1.33345053e-01 -1.86681777e-01 -1.85411498e-02 1.40119577e-02 1.19951656e-02 2.65940391e-02 -3.12341135e-02 9.87023637e-02 1.30758202e-02 8.84075370e-03 -2.12696433e-01 1.60649225e-01 3.91751640e-02 1.68565392e-01 1.77429691e-01 1.53273931e-02 2.76349206e-02 1.43842846e-01 1.81723647e-02 2.82281339e-02 -2.07150087e-01 -2.57080533e-02 1.41842037e-01 1.56989228e-02 -9.18599665e-02 4.55542170e-02 -1.49418429e-01 1.65690780e-01 -1.31465159e-02 -1.16892666e-01 1.89360883e-02 -1.62499044e-02 8.85485932e-02 -2.57664341e-02 -4.72185109e-03 1.25928149e-01 -2.56030485e-02 -5.49266748e-02 -8.05385411e-03] Cos Similarity tf.Tensor(0.12264939, shape=(), dtype=float32) (128,) (128,) [ 0.19096883 -0.02376998 -0.05489799 0.11738936 -0.02039088 -0.04577821 -0.05617081 -0.2501203 -0.00838571 -0.00902197 -0.08900849 -0.00846447 0.01461435 -0.26669666 0.06324183 -0.11614035 -0.0164866 0.2732807 0.0780449 0.06568474 -0.08405173 -0.0834794 0.09757721 -0.04923665 -0.02841484 0.00420097 -0.06700883 -0.02169561 0.08871624 -0.02993066 0.2172876 -0.01072686 -0.02613358 -0.00235614 0.06366392 0.01776255 -0.00049536 -0.11410097 -0.01230353 -0.21350637 0.06489035 0.00285652 0.00109586 0.02215094 -0.20375128 -0.20690818 -0.02536774 -0.00229831 0.00998649 0.01042675 0.01961505 -0.00667219 -0.02480718 0.00373106 -0.02054434 -0.00796761 0.18036093 -0.00049319 0.01064759 0.00300026 -0.04123006 0.12260389 0.03539598 -0.02178009 0.04134056 0.043625 -0.00864512 0.01437433 -0.01742305 0.2394208 -0.00562756 0.11843922 0.00337436 -0.00253789 -0.01616279 0.02368035 -0.186474 -0.0104873 -0.01071944 0.06209556 0.00748924 0.01076876 -0.00559013 0.03226738 0.06349632 0.09494054 -0.1779781 -0.00109123 -0.01330439 0.06538165 0.04260468 -0.10143375 -0.00065429 0.0087948 -0.01918995 0.00659477 -0.11552605 -0.05609412 0.011303 0.1107856 -0.10475204 -0.07464685 0.04954979 0.08798082 0.00606776 -0.0170769 0.11774296 0.07509515 0.00279016 -0.08018764 -0.01520737 0.1431721 -0.02461237 -0.03160701 -0.01920081 0.05733649 -0.2703499 -0.00322684 0.00761276 -0.0019051 0.01407651 -0.10235659 0.03199296 0.01494836 -0.15346648 -0.03611052 0.0723616 -0.00582292] [ 5.24321012e-03 -1.43451780e-01 -6.10302612e-02 2.14854125e-02 -7.29515124e-03 6.16659895e-02 2.74636354e-02 3.28717940e-02 -5.39228367e-03 -3.81045882e-03 1.34233646e-02 9.64431383e-04 1.05248136e-03 -1.36591822e-01 7.55717512e-03 -3.20426822e-02 -4.90614166e-03 2.02470943e-02 -2.01735556e-01 3.64783704e-02 1.21109691e-02 -9.32902098e-02 -3.85906324e-02 1.36151281e-03 -1.63238887e-02 2.72779190e-03 1.06772617e-01 -5.22536226e-03 1.77278370e-01 -1.74306795e-01 -1.71747461e-01 5.69502488e-02 -6.79595629e-03 -1.42227125e-03 -1.06314220e-01 -2.74856365e-03 -7.80873839e-03 1.89874545e-01 -8.96344520e-03 -1.47982284e-01 1.50901452e-01 6.87935809e-03 -5.59944473e-03 9.51387410e-05 -4.40748297e-02 1.67187169e-01 1.65963650e-01 -2.23943753e-05 1.40194399e-02 7.95048662e-03 5.25064394e-03 -4.35581105e-03 -1.91675555e-02 3.69132985e-03 -1.74763668e-02 -3.14921071e-03 -7.77964145e-02 -2.40537268e-03 7.16829672e-03 -1.96970231e-03 -3.75965796e-02 1.60805523e-01 -2.24195242e-01 -1.19808009e-02 2.12603465e-01 -6.01741150e-02 3.11663747e-03 -1.67140603e-01 -2.05040183e-02 2.05210283e-01 -1.23257739e-02 1.26045927e-01 7.82837719e-03 -7.17526069e-04 -1.40313932e-03 1.01793539e-02 1.64059866e-02 1.31870136e-01 -5.35788422e-04 4.80946302e-02 -3.38470303e-02 1.04251166e-03 -2.64070500e-02 3.56545812e-03 -2.13508859e-01 2.13322327e-01 8.23768228e-03 3.45836277e-03 -9.60684440e-04 -1.51950613e-01 -1.21472761e-01 9.63797793e-05 -7.77602475e-03 1.64820850e-02 -1.41184144e-02 1.81017861e-01 6.56781718e-02 -1.00861378e-01 -3.06722615e-03 -1.59382060e-01 1.07200474e-01 1.54643342e-01 2.07960099e-01 -2.16387108e-01 -3.98411043e-03 -8.10641143e-03 6.12719394e-02 2.61883307e-02 -1.35704884e-02 1.38569782e-02 -2.43090931e-02 2.41100099e-02 -2.33230181e-02 -1.95874013e-02 -3.31148244e-02 -1.47848442e-01 3.66659765e-03 -9.91751626e-03 6.64642751e-02 -1.73608400e-02 1.02134338e-02 -5.38050681e-02 5.07205399e-03 -1.71904787e-02 1.38304770e-01 -1.78707540e-02 1.13483615e-01 -2.24244632e-02] Cos Similarity tf.Tensor(-0.0008224249, shape=(), dtype=float32) (128,) (128,) [ 0.173212 -0.06116476 0.07888229 0.05452987 0.00491215 0.06262828 -0.08931287 -0.05120625 -0.00735296 0.0070017 -0.15783702 0.03723409 0.03013958 0.17808141 0.0212608 -0.03364614 0.01452186 0.16276997 -0.03933931 -0.01861761 -0.0935681 -0.00675861 0.1228516 0.12798506 0.0427535 -0.00577033 0.17224596 0.0099313 0.11813937 0.01810299 -0.18964665 0.0158815 -0.04590673 0.00822542 -0.15667273 -0.02162413 0.00648571 -0.0910796 -0.03747754 0.00733267 0.15020648 0.01238269 0.00327676 -0.00951065 0.16982783 0.17086329 -0.0277451 0.01602596 0.01338888 0.02526802 0.00056486 0.01742494 0.01521416 0.01636595 0.02294593 0.02150193 0.0465224 -0.00407146 0.0271035 0.00989323 -0.1698779 0.02419572 0.02725084 0.01826162 -0.20733085 -0.19055365 0.00313049 0.08935995 0.02610496 -0.14505793 0.18125907 0.16285565 0.01637893 0.00793709 0.01711041 0.03778112 -0.05681991 0.11703668 -0.01400318 0.10574453 -0.00468042 0.00321713 -0.00794686 -0.08542059 -0.12301131 -0.04004063 0.13562325 0.01501575 -0.00281629 -0.0953301 -0.04300578 -0.07873356 0.00819987 0.04153989 0.01478958 -0.1911788 -0.0641202 -0.1745572 0.02042094 0.12495366 0.18952192 -0.14644715 -0.07742791 0.03027064 0.00309058 0.02727324 -0.18869844 0.00664598 0.02250151 0.21417323 -0.11828779 0.15884592 0.01012059 0.00876183 -0.00464577 0.00517634 -0.1587687 0.02159417 0.01291193 0.01441597 0.01155859 -0.05839832 -0.03084918 -0.00799518 0.06108885 0.06924906 -0.04906977 0.00580801] [-1.26919731e-01 -1.91595316e-01 -5.13047613e-02 6.31419867e-02 -8.40908848e-03 5.96365258e-02 -7.62095824e-02 8.49965289e-02 1.41728402e-03 -1.09544238e-02 1.41578332e-01 -1.04366904e-02 -3.64354551e-02 1.52283877e-01 8.21435824e-02 9.61425826e-02 -2.48780698e-02 1.06215507e-01 2.59192865e-02 -2.22466126e-01 -2.27221586e-02 1.50792018e-01 -4.07000259e-02 -1.56290859e-01 2.29651644e-03 3.47665232e-03 -6.33831136e-03 2.12650700e-03 -1.58724084e-01 -8.94299243e-04 -1.54924989e-01 -1.33379236e-01 -7.74609623e-03 -3.98683921e-02 1.63808420e-01 -2.03923397e-02 -1.65074058e-02 -9.55916569e-02 -9.35939490e-04 -9.03940573e-02 1.23189956e-01 5.03699761e-03 -2.00879555e-02 -1.67855322e-02 1.91306204e-01 -7.34440982e-02 -1.75670497e-02 -4.47564846e-04 -5.89084171e-04 1.22002419e-02 1.68431783e-03 9.30340495e-03 -4.73855995e-03 2.61705834e-03 -3.37821781e-03 6.00268878e-03 -1.42548710e-01 -2.94673932e-03 -5.72962081e-03 -1.15260882e-02 1.09406851e-01 4.01333626e-03 1.87860057e-01 -1.96364503e-02 -1.52625531e-01 6.72921017e-02 -5.24923857e-03 1.87056631e-01 -2.97620951e-04 -8.55081901e-02 -1.23750663e-03 1.70554787e-01 -5.13616204e-03 9.87039227e-03 -5.71242953e-03 2.08739121e-03 2.61851363e-02 -1.38382122e-01 4.06083744e-03 1.84494182e-01 -1.56611782e-02 -2.18971749e-04 1.50996738e-03 -8.99191052e-02 1.28325984e-01 -8.25542659e-02 1.60409927e-01 5.15161874e-03 -1.86610837e-02 -6.07263781e-02 -2.10785136e-01 1.38904732e-02 -9.93001368e-03 5.81120141e-03 7.47321080e-03 -1.99812949e-01 8.11643377e-02 1.10076338e-01 -4.70863981e-03 2.06199773e-02 -9.26637091e-03 -9.76631865e-02 7.09080175e-02 1.45163089e-01 -8.31182115e-04 -6.87154382e-03 -8.51712450e-02 5.69387630e-04 -2.81623453e-02 6.57397956e-02 -1.14304632e-01 9.99515355e-02 -2.96933367e-03 -7.75793800e-03 4.22327220e-03 1.75094321e-01 1.88502781e-02 -3.14265839e-03 1.31124035e-01 1.89111545e-03 -1.99667178e-03 -1.12120308e-01 7.20364391e-04 -1.58755016e-02 1.98222250e-01 2.29238980e-02 -1.43953964e-01 -8.09958857e-03] Cos Similarity tf.Tensor(0.22399157, shape=(), dtype=float32) (128,) (128,) [ 0.20202821 -0.06865148 0.07075295 -0.12489737 0.00571472 -0.06683836 -0.13684204 0.00368127 0.00307613 0.0023075 -0.12937479 0.00329264 0.02087669 0.09884033 0.13230896 -0.16657676 0.00976222 -0.04463003 0.07232978 -0.00401548 -0.15843464 -0.16171245 0.18137173 0.00067781 0.00891807 -0.01421192 0.20190892 -0.00684909 0.0873635 0.01502164 -0.14281817 0.07672484 0.01930493 0.01496996 -0.03594586 -0.00759692 0.01290297 0.07491045 -0.00952147 -0.06635386 -0.06318658 -0.01749288 0.00685991 0.00322539 0.0813034 0.16413754 0.14016351 0.02190898 0.01156643 -0.0016093 0.00434266 0.01372836 0.01637505 0.01370059 0.00946281 0.01813965 0.17898327 -0.00492322 0.00904388 0.00126089 -0.03496036 0.06381641 0.1369565 -0.00141425 -0.1590291 0.18203288 -0.01358949 0.15899226 0.02305637 -0.15571682 0.00116295 -0.12922761 0.01320974 0.00486691 0.00475835 -0.0012314 0.11056519 0.04818746 0.01002227 0.11643994 0.00902766 0.02296682 0.01377529 0.01133965 -0.13162416 0.1183233 0.0891174 0.01052426 -0.0029889 0.14290695 0.0540665 -0.15253896 0.00610767 0.01459195 0.01009773 0.2017535 -0.01806957 -0.09137938 0.00022587 -0.06019813 0.03864521 -0.17910354 -0.17780118 0.01407876 0.00111193 0.0008065 0.16326192 0.00507313 0.01641659 -0.19561772 -0.13019194 -0.11742701 0.00741429 0.06807255 -0.02711429 0.07097393 0.12628041 -0.01784043 0.18819554 0.0011525 0.01054364 -0.02244941 -0.00892506 -0.01438339 -0.14731926 0.01939883 -0.05886628 -0.00191191] [ 0.16797923 0.23321882 0.0523221 0.06313657 0.0231435 -0.03981991 0.19342554 0.03744472 0.00339369 0.00694939 0.18738876 -0.02377936 0.00707617 0.12339275 0.05872018 -0.13874893 -0.01138081 0.13124943 0.2280683 0.04580819 -0.15209912 -0.10797643 0.19386892 -0.0158053 0.03426706 0.01013273 0.18175836 0.01874335 0.00232512 0.06598174 0.09341092 -0.07374198 -0.00114721 0.01120834 -0.15204531 -0.04838336 0.01567199 0.111055 -0.01496008 -0.0325424 0.06643301 -0.00157395 0.01104139 -0.00539564 0.16769579 0.0583453 0.05859327 -0.00822638 0.00443559 0.03388853 -0.00547975 0.01741586 0.02379109 0.02508866 0.04117444 -0.00069389 -0.10555194 -0.02227125 0.0238766 0.01205753 0.09477671 0.2190436 0.09976952 -0.00967336 -0.16254607 0.07411908 -0.01129923 -0.10766745 0.04757109 -0.15580678 0.17387676 -0.17609651 0.02669 0.01911773 0.00356632 0.05014181 0.1793652 -0.06592762 0.00805558 0.15674143 0.00179825 -0.0194917 0.00061704 -0.01470129 -0.07290002 0.02874294 -0.05455543 0.02801931 -0.00940458 0.05769237 -0.1339936 -0.04192633 0.02845046 0.02681407 -0.00113942 -0.04942855 -0.0012259 0.01033499 0.01609601 0.1300225 0.08342252 0.18403697 -0.15373869 -0.08512528 -0.0058695 -0.00239547 0.13234638 0.01487785 0.03065064 -0.03471272 0.03063022 0.13417304 0.00317055 0.15841721 0.06812028 -0.12309538 0.08508498 0.01563835 0.02472347 -0.03414686 -0.00155065 -0.02869993 0.01133248 0.00247399 -0.12215879 0.03221842 -0.05541344 -0.01268786] Cos Similarity tf.Tensor(0.31266892, shape=(), dtype=float32) (128,) (128,) [-1.90902293e-01 4.66026887e-02 1.38421580e-01 -2.73281848e-03 6.56560762e-04 -1.15913367e-02 -2.14000866e-01 -1.16922811e-01 2.24035904e-02 2.57076621e-02 1.00194057e-02 3.64324190e-02 6.60367385e-02 -4.94395755e-02 1.61289215e-01 1.67778600e-02 2.65374891e-02 -3.56031694e-02 -5.95183261e-02 -3.09209572e-03 -4.72377229e-04 -6.55908585e-02 -1.24053158e-01 9.84551832e-02 5.83937615e-02 3.46282944e-02 3.06750294e-02 2.90067643e-02 -2.03958079e-01 2.23018751e-02 3.30096185e-02 -1.30259827e-01 -5.67770600e-02 3.72277349e-02 1.80540174e-01 8.75661373e-02 -4.03421186e-03 -1.71041369e-01 -5.38335294e-02 1.39313668e-01 6.10398576e-02 -4.69115796e-03 2.14391071e-02 3.08647715e-02 -2.21790180e-01 3.71473283e-02 1.15863785e-01 8.52846541e-03 3.19086872e-02 4.67831902e-02 2.49143150e-02 9.68290307e-03 6.38632849e-02 1.63574927e-02 6.30372837e-02 7.36714387e-03 1.00069374e-01 -3.39751430e-02 1.27134416e-02 6.28650412e-02 -2.18476094e-02 1.33593202e-01 -1.07185401e-01 3.03908251e-02 -2.07131833e-01 1.52775884e-01 -8.76244903e-03 3.61082144e-02 3.69864479e-02 1.61483940e-02 -1.08112253e-01 -1.90982983e-01 -1.78724865e-03 4.30955552e-02 2.47971732e-02 4.85444628e-02 8.85841399e-02 -2.69807002e-04 -1.91016756e-02 -2.39281580e-01 -2.32024770e-03 -1.14313641e-03 5.64371949e-05 -9.74617302e-02 -8.84227827e-02 1.37752548e-01 -2.28223637e-01 3.26782763e-02 3.50803062e-02 2.92186420e-02 7.13648554e-03 -9.78317037e-02 2.32723616e-02 5.15516251e-02 -1.99200362e-02 -2.28289723e-01 -3.72867361e-02 -1.45100560e-02 1.62028037e-02 -1.97471395e-01 -5.49431182e-02 -2.57253367e-02 -2.33083397e-01 4.00360599e-02 4.46012244e-02 -5.23531400e-02 -1.21909529e-02 1.09154303e-02 5.15750721e-02 2.64813676e-02 -1.22900466e-02 1.30255207e-01 2.95263845e-02 -5.37308753e-02 -7.58331493e-02 1.25019968e-01 -8.79976526e-02 2.61449125e-02 4.51808125e-02 6.45825490e-02 2.13964060e-02 2.60136928e-03 5.49590960e-02 1.46382805e-02 -2.96271294e-02 7.41973221e-02 -3.24002877e-02 -5.68001252e-03] [-0.03325409 0.1096433 0.16761896 -0.05532091 0.00048606 0.02798793 -0.19482633 -0.11884256 0.00785798 0.02214344 0.17806256 0.0460299 0.05264429 -0.13247316 0.09893085 0.11946717 0.0250465 0.02905126 0.0676588 0.02852489 -0.11702305 -0.00835836 0.05758204 -0.06909428 0.02587531 0.03399603 0.0534331 0.01253469 0.00995465 -0.03533219 0.1998271 -0.0547273 -0.01182555 0.07000854 0.0646247 0.0474922 0.05051177 -0.16838457 -0.04318849 0.1364644 0.17341612 0.0030945 0.01407514 0.04103174 -0.10809704 0.07591724 -0.07836714 0.05741043 0.0525574 0.04485818 0.01092257 0.0027228 0.06173609 0.01700939 0.08488496 0.01685706 0.1724651 0.03244293 0.04028381 0.04016631 0.05683112 -0.1493357 0.08525335 0.06447495 0.03409263 0.15113324 0.01034547 0.02948211 0.02482682 0.14254408 -0.13302474 -0.1766932 0.00511661 0.06817297 0.01008643 0.03895338 0.17737237 -0.03281043 -0.00554123 -0.1941995 0.00387805 -0.0447491 0.01126602 0.01163334 -0.05103087 0.0616901 -0.18558307 0.02982804 0.03363304 0.10255806 -0.0784709 -0.13502967 0.02392031 0.04442693 0.01023901 0.03068283 0.18483989 -0.18189628 0.01903716 -0.03641041 -0.05455979 0.18401103 0.05791096 0.03065822 0.0167084 -0.01953613 0.06328747 0.04512146 0.06659356 -0.20707777 -0.009837 0.13330396 -0.00883702 -0.14520577 0.00023924 0.14074135 -0.1580446 0.01076845 -0.05836612 0.0686489 0.01716644 -0.07319178 0.08044475 0.02003624 0.0989738 0.02853448 0.0516469 0.00840957] Cos Similarity tf.Tensor(0.477063, shape=(), dtype=float32) (128,) (128,) [ 1.15593318e-02 8.15886185e-02 7.82647058e-02 1.59178242e-01 1.42503176e-02 -7.40738958e-02 -7.80394003e-02 -2.87358612e-02 -9.25390422e-03 -1.16503648e-02 4.63863574e-02 -1.64280441e-02 6.97308080e-03 5.14474474e-02 -5.13898085e-05 -2.01468751e-01 -1.13398507e-02 5.05947880e-02 1.73076898e-01 7.01809675e-02 -7.46020395e-03 8.11182112e-02 7.99098536e-02 1.46242499e-01 2.58467533e-03 -3.66111053e-03 -2.14878485e-01 1.18326489e-02 4.86369291e-03 1.82239667e-01 1.51280016e-01 -1.29815057e-01 1.00908810e-02 -6.83690468e-03 1.66657835e-01 -2.48428360e-02 2.49664355e-02 2.00800657e-01 -5.80096152e-03 -6.90945312e-02 1.25184610e-01 -9.24388412e-03 6.02764427e-04 3.17680906e-03 -9.92678627e-02 1.32537693e-01 -7.31139211e-03 -1.81690063e-02 6.31938083e-03 -1.09033822e-03 2.83705769e-04 5.70468884e-03 -4.39956057e-04 5.22781350e-03 -6.26446679e-03 -8.13367963e-03 -1.36816427e-01 -9.21085104e-03 4.61755786e-03 6.49723737e-03 -7.02367956e-03 1.20427892e-01 -9.87963676e-02 2.00630631e-03 1.69724911e-01 -9.93844308e-03 -7.73493899e-03 -5.69573455e-02 -5.43802511e-03 1.86682448e-01 -8.55876580e-02 -6.19266368e-02 -2.41770642e-03 7.93258753e-03 2.57355487e-03 4.74991044e-03 8.03964809e-02 1.24346137e-01 1.67618389e-04 1.63321137e-01 -1.81877464e-02 -5.23802033e-03 5.17228292e-03 -4.84879948e-02 1.73578113e-01 -1.26099214e-01 -4.16458994e-02 8.72369017e-03 5.97378565e-03 1.69325709e-01 -1.35479629e-01 -1.19376920e-01 -2.18548086e-02 4.03139368e-03 4.58260765e-03 3.21144536e-02 -1.55762449e-01 1.79095402e-01 1.67745128e-02 1.19783632e-01 -1.24795377e-01 1.09424554e-01 2.25363478e-01 -6.69288728e-03 7.77938683e-03 1.08271828e-02 1.38857067e-01 1.10739749e-02 -1.46011310e-02 1.35619491e-01 -4.11959924e-02 1.31333917e-01 6.59292238e-03 -2.06817925e-01 -1.17854001e-02 7.73687884e-02 1.77382797e-01 2.88015185e-03 -4.82054837e-02 1.65437739e-02 4.06395271e-03 -1.41723260e-01 -1.25230867e-02 -1.16195250e-02 1.34558985e-02 1.34363780e-02 1.65377394e-03 -6.44808449e-03] [-1.27398118e-01 1.17362149e-01 3.47290896e-02 1.37580767e-01 -4.74945782e-03 4.41059023e-02 3.93960439e-02 -1.46109074e-01 -9.48844478e-03 -1.15867220e-02 8.35964754e-02 -2.37439983e-02 2.44305059e-02 -8.70340541e-02 2.55191280e-03 -2.27216452e-01 1.20832743e-02 1.55419528e-01 1.91102147e-01 -9.72515941e-02 1.37130693e-01 -7.42938509e-03 1.35614082e-01 6.52778819e-02 1.35864941e-02 -1.85437093e-03 -1.66515723e-01 1.22286761e-02 5.11103449e-03 2.02390611e-01 1.92672268e-01 -1.00443169e-01 3.51464935e-03 -2.68139523e-02 4.28206613e-03 -3.60319838e-02 9.30123217e-03 1.73557594e-01 4.29326575e-03 -8.44769552e-02 3.55186202e-02 -1.56916227e-04 -2.12140894e-03 -4.61624982e-03 -1.87806621e-01 -9.47755054e-02 1.06628694e-01 -1.54870329e-02 1.66188311e-02 4.57157660e-03 5.34464791e-03 2.48470483e-03 -1.83892883e-02 1.07011674e-02 -2.31967103e-02 -1.34350276e-02 -1.56104043e-01 3.81381437e-03 8.50993767e-03 1.29237808e-02 2.53215209e-02 -4.14945334e-02 -6.53550848e-02 -1.62940891e-03 1.57786220e-01 -1.68912545e-01 -2.19408311e-02 -4.06502821e-02 -5.24959993e-03 2.04090983e-01 -1.04152240e-01 -7.92714860e-03 -4.89522936e-03 1.00948708e-02 -1.07366517e-02 1.13410708e-02 7.07106367e-02 1.44331321e-01 -1.88128510e-03 6.58062994e-02 -7.43569201e-03 2.06969026e-02 4.81693260e-03 -1.24301173e-01 1.62578791e-01 -1.33057177e-01 -9.57239943e-04 -1.30046194e-03 6.10873802e-04 2.13090166e-01 -1.15131989e-01 -1.20879158e-01 6.52722456e-03 2.82127550e-03 1.06250346e-02 -1.39454231e-01 5.39274551e-02 1.28998086e-01 2.36520544e-02 8.82314146e-02 -6.26925826e-02 1.60625264e-01 2.18314633e-01 -2.62012612e-02 9.44369193e-03 -1.33031150e-02 1.56939223e-01 -1.45832719e-02 4.94750403e-03 1.51261771e-02 7.94402212e-02 1.28459156e-01 1.01290946e-03 -3.55042368e-02 -3.28460969e-02 -8.98244381e-02 1.19683266e-01 7.57818576e-03 1.29667437e-03 -5.96043468e-03 4.21747519e-03 -1.26708552e-01 1.75300986e-02 3.07634147e-03 -1.44941760e-02 5.74918538e-02 9.59019884e-02 -1.68646146e-02] Cos Similarity tf.Tensor(0.7238201, shape=(), dtype=float32) (128,) (128,) [ 1.41280234e-01 7.15028197e-02 -1.43401953e-03 9.88171175e-02 2.28247372e-03 1.66591942e-01 -2.06500873e-01 1.56746253e-01 -6.24783710e-03 -5.17796399e-03 -9.22430679e-02 1.80199888e-04 1.91245396e-02 -2.94873901e-02 1.38538584e-01 -1.27822638e-01 -1.93246047e-03 1.40203565e-01 1.33977205e-01 -1.33890763e-01 1.30920023e-01 -6.41918033e-02 -6.79207668e-02 -2.65021175e-02 1.30322753e-02 5.86851267e-03 -4.64056730e-02 -3.80579825e-03 1.07635632e-01 2.30880845e-02 -1.92811236e-01 -5.28276525e-02 4.51871008e-03 1.24185588e-02 3.40427794e-02 1.00524342e-02 -8.75171274e-03 4.99473549e-02 -1.18820900e-02 1.32744908e-01 1.39666736e-01 -3.58872698e-04 8.75450112e-03 2.42677284e-03 1.33341193e-01 1.97661802e-01 1.75005361e-01 1.46068064e-02 5.76848257e-03 3.54051846e-03 1.35961315e-03 9.16077103e-03 -7.16074195e-04 5.51729277e-03 -4.69936011e-03 8.63744318e-03 3.55444625e-02 -1.22850612e-02 2.01421254e-03 6.20793272e-03 1.16177596e-01 -3.64920981e-02 3.60675976e-02 -1.04738642e-02 -2.12340698e-01 1.41054699e-02 -6.23991073e-04 9.06606019e-02 7.28360610e-03 6.10294193e-02 -5.25922105e-02 8.53452832e-02 -1.42018427e-04 8.09151586e-03 -3.40844435e-03 -6.13110978e-03 1.27472803e-01 -7.39521682e-02 7.04570953e-03 -1.64278105e-01 -3.66361160e-03 -2.45812815e-03 8.82240944e-03 -1.78031754e-02 -9.90687534e-02 1.28912345e-01 -7.91866612e-03 4.71575186e-03 -9.05640516e-03 1.72944829e-01 -1.83675662e-01 2.13385344e-01 7.63634499e-03 -1.16617058e-03 6.96277106e-03 1.06028214e-01 -1.40761942e-01 4.27621305e-02 9.44669731e-03 -8.60841051e-02 1.15976095e-01 1.73390508e-01 1.66024283e-01 -9.24809724e-02 -1.21186068e-02 -5.33752749e-03 -1.28843352e-01 3.69644212e-03 5.52293321e-04 -2.15719640e-01 1.77932605e-02 1.78044125e-01 4.07542475e-03 9.15691257e-02 -1.33840656e-02 -1.09467357e-01 1.18134245e-01 -5.51875029e-03 -4.43729833e-02 -1.83780352e-03 -4.59398469e-03 1.69658698e-02 -1.84705667e-03 -1.36897881e-02 -1.86451778e-01 -2.72299424e-02 -2.73558442e-02 -1.15709752e-02] [ 1.67867422e-01 -3.69082540e-02 2.71898061e-02 -1.68199137e-01 5.21440897e-03 1.30716920e-01 -1.67055905e-01 1.27677128e-01 -1.91939319e-03 -5.49630960e-03 1.69269875e-01 1.33406902e-02 2.85670324e-03 1.41506661e-02 2.68052630e-02 6.98756129e-02 5.36396867e-03 1.13763988e-01 -1.92693770e-01 -9.72849876e-02 1.14081547e-01 -5.90821616e-02 -1.59819797e-01 1.50674924e-01 5.62561536e-03 1.41168563e-02 -8.61288011e-02 2.78318790e-03 -1.29396245e-01 6.87554106e-02 -1.03327163e-01 1.43003762e-02 5.45716844e-03 -2.37521366e-03 5.83099052e-02 -1.86784957e-02 -1.35266809e-02 6.33745193e-02 -5.54858847e-03 -4.76929843e-02 1.16604961e-01 5.19761257e-03 2.77886842e-03 -2.29568873e-02 1.66600794e-01 1.77285507e-01 1.42424181e-01 1.40895415e-02 5.25996741e-03 1.60864294e-02 4.15300077e-04 6.55519031e-03 1.34564470e-02 4.63453028e-03 -8.29776004e-03 8.01089685e-03 -1.26672968e-01 -6.48841634e-03 8.32334068e-03 1.76698237e-03 1.70972962e-02 1.04606532e-01 7.53227919e-02 1.08689200e-02 -1.90940261e-01 1.65686548e-01 4.74508743e-05 9.75438356e-02 3.28616379e-03 1.40862584e-01 1.45870894e-01 1.21833660e-01 1.57642539e-03 1.82124749e-02 -4.76766424e-03 -6.07115973e-04 -1.53531253e-01 -6.87744915e-02 3.52139678e-03 -1.23524383e-01 -5.68677904e-03 -5.82174538e-03 1.11951577e-02 -8.51715356e-02 -1.24746263e-01 1.81412801e-01 5.10483719e-02 6.85184682e-03 -4.59594559e-03 8.96649808e-02 -1.31608233e-01 1.52668536e-01 1.59849431e-02 1.29638929e-02 -4.30978928e-03 1.07420094e-01 -1.27011552e-01 -8.17996487e-02 3.03812884e-03 7.91865066e-02 1.22760519e-01 1.59583226e-01 1.45006791e-01 -1.14378864e-02 7.53641734e-03 -3.88101884e-03 -1.83177918e-01 -7.87054829e-04 4.33637993e-03 1.43311828e-01 -5.22478186e-02 1.68820173e-01 6.10941276e-03 8.07791725e-02 3.94661687e-02 -1.64731756e-01 9.66938138e-02 -2.84971599e-03 5.10367155e-02 4.23886208e-03 -5.50433062e-03 5.78389354e-02 -7.57286372e-03 -2.65704375e-03 -1.51337117e-01 -2.29322445e-02 -1.51189063e-02 4.43145540e-03] Cos Similarity tf.Tensor(0.5439609, shape=(), dtype=float32) (128,) (128,) [-0.0060189 0.0362655 -0.07004608 -0.04896767 -0.03198848 0.08917419 0.09577934 0.08169127 0.00100365 -0.00570149 -0.08374576 -0.03785101 -0.00627993 0.0395976 -0.12324612 -0.17641129 -0.00633986 0.03189576 -0.0375628 0.01960813 0.02839847 -0.12200164 -0.00049546 -0.08079327 0.0062772 0.00293801 0.03554498 -0.02634872 -0.16477714 0.11516748 0.01681284 -0.18420283 -0.00207033 -0.03585033 -0.05512559 -0.0018988 0.00342167 0.18029119 -0.01373472 -0.02544332 0.00158593 0.00251719 -0.00174175 0.00306066 -0.2411315 -0.04322578 -0.00567986 -0.01056227 0.00282617 0.00412132 0.00328661 -0.00095876 -0.004331 -0.00121175 -0.02412113 0.00554236 0.12816538 -0.02363611 -0.00231725 -0.01968472 0.13896167 0.207044 -0.05931146 -0.03950395 0.19091049 -0.14054038 -0.01305334 0.1968747 -0.02295911 0.01632969 0.1577109 -0.16382165 -0.00039282 0.0037261 -0.01065086 0.00326893 -0.0094271 -0.18751068 0.00031 -0.29477662 -0.00801121 -0.14131632 -0.00428826 -0.2103288 -0.25517368 -0.0262004 -0.07183554 0.0121621 -0.01326676 -0.18188132 -0.04606577 0.0625396 -0.01401087 0.01265909 -0.00837325 0.15613401 -0.04084776 -0.01598082 0.00059629 0.08082793 0.09047348 0.07778068 -0.05123144 -0.08688197 -0.00557411 0.0064097 0.03149271 -0.00657911 -0.015655 0.18837512 0.03587417 0.00889587 -0.02435802 -0.12398089 -0.0766133 0.15938659 -0.15077634 -0.01535827 0.05551848 -0.02111533 0.00550945 -0.03766319 0.01187652 -0.03702761 0.05292544 0.04323714 0.05769926 -0.00892496] [ 0.10921914 0.07497264 0.03410494 -0.18642512 -0.0013121 0.01581404 -0.16077344 0.13801841 -0.0131771 -0.00662994 -0.16807103 -0.00143174 -0.00281571 0.04952992 0.00518966 -0.08129364 0.00422438 0.12981781 0.15198173 -0.05645414 0.11698112 -0.15259315 0.07125754 -0.07101608 0.0048663 -0.00190386 -0.16107488 0.00252995 0.01348529 0.1710359 -0.16928157 0.05388699 -0.00758433 0.00725998 0.0385455 -0.00926085 0.00381335 -0.15829714 -0.01371281 0.02980171 0.07462042 0.00649515 0.00464076 0.01075079 0.13045065 0.16923428 -0.04898168 0.01788178 0.00812994 0.02736978 0.00372249 0.00539286 0.00792109 0.01047685 0.00285191 0.00608608 0.02232666 0.00406213 0.00567679 0.00782997 0.07753924 -0.07032925 -0.02082602 -0.00035192 -0.18127212 -0.06319966 -0.00600058 -0.04739427 0.01055392 0.03495647 -0.01224448 -0.02809199 0.01921551 -0.00644059 -0.00052347 0.01561667 0.12674916 -0.03524667 0.00497084 -0.00038901 0.00140486 -0.0068987 0.01817509 -0.15957113 -0.18179916 0.16739812 0.1583348 0.01063004 -0.01093541 0.1981437 -0.01045747 0.1537873 0.01552892 -0.00894443 0.01154638 0.17504646 -0.00220011 -0.18064481 -0.00718799 -0.01459153 0.13218497 -0.12894304 0.11765439 0.0377711 -0.00923573 0.0002997 0.20310287 0.00789024 0.001049 -0.18616435 -0.16085279 0.17375943 -0.00450104 0.1521204 0.00348945 -0.03155344 0.03541453 -0.01907191 0.18729055 -0.00137664 0.00176661 0.12761988 0.01551367 -0.01700006 -0.18276715 -0.01383957 -0.00667684 -0.01088392] Cos Similarity tf.Tensor(-0.041821588, shape=(), dtype=float32) (128,) (128,) [ 1.14624530e-01 1.49892405e-01 9.64839384e-02 -2.34159660e-02 -1.14862919e-02 -1.56815946e-02 3.23924944e-02 9.35071260e-02 -1.86212687e-03 -9.10881255e-03 2.11847663e-01 -1.64643824e-02 -2.90619838e-03 2.93678371e-03 1.15363307e-01 1.80618554e-01 3.33653390e-03 -7.21656680e-02 -1.67263836e-01 -1.11830123e-01 2.39945427e-01 2.09129509e-02 2.03847617e-01 6.43510325e-03 -1.62862241e-02 4.38415119e-03 1.34405181e-01 -1.98557265e-02 -7.20106764e-03 -1.76424176e-01 2.47739881e-01 6.18993305e-02 6.78604795e-03 1.75758114e-03 5.13280071e-02 -3.54974791e-02 6.49820967e-03 -1.02415100e-01 -1.45924557e-02 -4.33359928e-02 1.30618289e-01 1.17029874e-02 -1.71245681e-03 8.35264288e-03 1.06466427e-01 -1.64988205e-01 -5.38460389e-02 1.95442531e-02 5.20344544e-03 1.21041993e-03 7.70236831e-03 -4.49348474e-03 -2.20012129e-03 9.06130299e-03 7.18542608e-03 9.26667359e-03 1.23633362e-01 -3.69776646e-03 -7.67812971e-03 -6.82881614e-03 -2.01293632e-01 2.05194578e-01 -1.94934923e-02 -1.37831550e-03 1.31629661e-01 1.39744639e-01 -4.59506270e-03 1.52816862e-01 -5.71345445e-03 -2.15969101e-01 -4.78825495e-02 -2.69456953e-02 5.16653620e-03 1.15759159e-03 -6.27821544e-03 1.11910887e-02 1.68003306e-01 -1.24135073e-02 5.93835907e-03 -1.85989849e-02 -1.42604159e-02 -2.89040562e-02 -9.59079526e-03 5.22379689e-02 -6.13055490e-02 1.04525954e-01 -1.04076445e-01 1.36237321e-02 4.52046609e-03 -5.47799058e-02 2.60527767e-02 8.99041668e-02 -3.90840555e-03 6.25414914e-03 1.71708351e-04 1.82707846e-01 2.15193164e-02 -7.68357962e-02 -1.63766500e-02 -2.72202250e-02 7.35024596e-03 -4.08517243e-03 1.21152356e-01 2.10551843e-01 -2.28302032e-02 -2.07414944e-03 -2.51429267e-02 1.97837967e-02 -2.99730338e-04 -1.35809064e-01 -8.37280527e-02 -2.25072056e-01 9.46719851e-03 9.64548737e-02 -2.40645371e-03 3.77546959e-02 7.24022761e-02 -1.32214520e-02 -1.75064862e-01 -2.37438250e-02 4.10008198e-03 -8.50145221e-02 1.67740490e-02 -3.87720391e-02 -4.76301871e-02 4.22361083e-02 3.60931898e-03 -2.23164214e-03] [ 3.77709419e-02 2.07007974e-01 -2.96449028e-02 6.18486572e-03 2.91961990e-03 -5.38015887e-02 -6.35744398e-03 4.98469248e-02 1.23145934e-02 1.78193972e-02 7.45676160e-02 -2.95016356e-02 2.05106139e-02 -6.00883961e-02 1.68020606e-01 -1.79062430e-02 2.07035430e-02 5.39303459e-02 -2.55422801e-01 1.28543815e-02 1.66413352e-01 6.12216257e-02 4.91115488e-02 -8.04915875e-02 2.02037748e-02 1.54811684e-02 -4.76514697e-02 -1.51247391e-02 -1.74650531e-02 -1.31102353e-01 2.33790934e-01 1.66527733e-01 -1.69098917e-02 -2.84286216e-02 -1.40284345e-01 -2.96309758e-02 8.80540162e-03 -6.24357797e-02 -4.26086038e-02 -9.05342475e-02 2.08096772e-01 3.87574434e-02 4.45668865e-03 -1.07362852e-04 1.69351548e-02 3.47504728e-02 -3.95228118e-02 5.26906103e-02 3.08840461e-02 5.41047379e-02 1.58543941e-02 1.69779523e-03 2.38513891e-02 2.85184700e-02 4.43962701e-02 2.20293812e-02 7.09507316e-02 -3.68435010e-02 3.42810787e-02 8.14868510e-03 -2.34977961e-01 1.89926997e-01 -4.87242974e-02 2.40632449e-03 1.13085903e-01 1.12951927e-01 -1.11061148e-02 9.58679542e-02 4.57842089e-02 -1.77682772e-01 1.13785587e-01 7.82053024e-02 -9.56793036e-03 1.13186482e-02 2.61768792e-02 4.79289964e-02 -1.45829711e-02 -8.48137587e-02 -1.27193918e-02 -1.50902793e-01 -5.59507683e-03 -2.31783222e-02 -1.84332579e-02 6.69032196e-03 -1.55896053e-01 2.98467148e-02 1.06675267e-01 3.66596244e-02 3.72035732e-03 1.23455174e-01 -4.08259034e-02 -2.26543278e-01 2.18876004e-02 3.83122265e-02 2.37402115e-02 1.65518552e-01 -2.17283182e-02 -4.12745774e-03 3.26637382e-05 -2.87031829e-02 1.03313372e-01 1.12241700e-01 1.63650557e-01 2.21349880e-01 2.67195771e-03 2.68655978e-02 -1.61398366e-01 5.84258698e-03 2.49851346e-02 -1.18716642e-01 -1.80702761e-01 1.48282588e-01 7.67390383e-03 -1.76029350e-03 -9.91321206e-02 4.59179915e-02 1.08631112e-01 -1.58239575e-03 -5.81139289e-02 -1.92339364e-02 -2.28417777e-02 -1.15990631e-01 3.45676355e-02 -6.38437830e-03 5.13754115e-02 3.22226211e-02 1.06708845e-02 -3.12508531e-02] Cos Similarity tf.Tensor(0.5537972, shape=(), dtype=float32) (128,) (128,) [ 1.63954318e-01 1.40152559e-01 -3.30169350e-02 -7.58355236e-05 -1.07231084e-02 5.97733743e-02 1.17344491e-01 2.29829140e-02 9.62994236e-04 -6.41818531e-03 7.26106465e-02 1.12612955e-02 6.25875173e-03 1.69698581e-01 1.22047395e-01 9.63554308e-02 -4.05041734e-03 1.02444835e-01 -1.30059823e-01 5.03989421e-02 -1.64934590e-01 -4.67368364e-02 -2.45183334e-02 1.91617295e-01 2.03134399e-02 5.32946782e-03 2.06408426e-01 1.08673156e-03 -1.72415733e-01 -1.79573208e-01 -1.47701249e-01 -6.72347099e-02 -2.77051814e-02 1.48106669e-03 -8.84456038e-02 1.24804843e-02 -7.37909402e-04 -9.00570154e-02 -4.94550401e-03 -5.64566813e-02 -1.33440748e-01 -5.20980265e-03 -9.64816380e-03 -2.12840475e-02 -9.01728272e-02 1.74754038e-01 -3.02827880e-02 -4.13369242e-04 -9.45663895e-04 7.01115606e-03 2.07328517e-03 8.30636267e-03 1.13390049e-03 5.27503714e-03 8.97780433e-03 9.38024931e-03 1.07640706e-01 3.52272158e-03 4.95354040e-03 -4.95351385e-03 -1.59242764e-01 -1.74381673e-01 7.22113922e-02 -2.16288026e-03 -2.09466591e-01 -2.43780091e-02 -1.39450477e-02 3.37986387e-02 3.74114490e-03 -9.91194546e-02 4.11718115e-02 -8.63145962e-02 1.21596241e-02 -4.14815685e-03 -1.87414035e-03 7.88212381e-03 -1.53172091e-01 -9.47599262e-02 1.92564074e-03 -4.82850596e-02 -5.53912576e-03 -9.40414798e-03 -4.97201039e-03 4.88703251e-02 1.06174029e-01 1.17451504e-01 1.38186648e-01 1.21526979e-02 -7.53287924e-03 2.93440837e-03 8.75240639e-02 1.91959187e-01 -3.20575410e-03 7.97135569e-03 -7.56814424e-03 -1.96345285e-01 5.42040095e-02 -1.85359851e-01 -4.08590399e-03 -8.31302479e-02 1.69075415e-01 1.21143654e-01 -1.88415527e-01 3.76398861e-02 -1.26386282e-03 -5.54469693e-03 1.29172549e-01 5.87715441e-03 -1.47046044e-03 1.99269354e-01 -1.51386768e-01 4.43060473e-02 -1.11467193e-03 1.52541295e-01 7.91719854e-02 2.49473080e-02 -5.63177057e-02 2.48102769e-02 -9.11579430e-02 -3.26638669e-02 2.26152665e-03 1.87121164e-02 -1.32797398e-02 1.08400267e-02 1.27936631e-01 2.84178704e-02 1.00675663e-02 4.89772297e-03] [ 1.05002441e-01 1.42277807e-01 -9.41794217e-02 -5.37201948e-02 -1.86870955e-02 1.04990080e-01 -1.19495422e-01 -2.96691544e-02 -6.45416463e-03 -2.20455509e-02 -1.75631300e-01 -5.19418065e-03 -5.37135405e-03 6.16681799e-02 8.26498568e-02 -9.38547682e-03 -1.19398599e-02 7.09672645e-02 1.59631282e-01 -1.09333776e-01 -5.05389422e-02 1.47241816e-01 -7.11869970e-02 -6.61231056e-02 -1.24790715e-02 6.79595023e-03 1.69249907e-01 -1.81095768e-02 -1.45548552e-01 1.85785010e-01 -2.18806177e-01 1.04786359e-01 2.59271078e-03 -3.18548791e-02 -2.14123920e-01 -3.39563042e-02 -1.82740800e-02 -2.55792849e-02 6.30629482e-04 -4.55873050e-02 1.31351873e-01 -2.64005619e-03 -5.59582794e-03 -4.57243994e-03 1.43912360e-01 -1.48672029e-01 -1.08896522e-02 -1.10375257e-02 6.10999414e-04 5.40168537e-03 6.52722595e-03 -6.26454875e-03 -3.53043228e-02 7.30232848e-03 -6.07453892e-03 5.90720866e-03 -6.57346919e-02 5.51995775e-03 4.23780130e-03 -2.45434958e-02 2.99912579e-02 -1.57799408e-01 1.10324286e-01 -2.28590854e-02 1.00932047e-01 -8.00710320e-02 -1.77489948e-02 1.76764965e-01 -1.75903197e-02 -3.35965008e-02 2.23075747e-02 -1.72314823e-01 1.15110143e-03 -9.76578146e-03 -2.36920919e-02 1.38115976e-02 1.21562473e-01 1.25089556e-01 -6.72026421e-04 1.09796762e-01 -9.02367197e-03 9.44980048e-03 8.80246516e-03 -2.29955092e-01 -1.31215468e-01 -7.94201866e-02 4.45362069e-02 2.28018872e-03 -9.91057139e-03 -4.44470979e-02 -8.53823349e-02 -9.28134993e-02 -8.92216060e-03 1.73890702e-02 -2.12552585e-02 1.74219593e-01 1.17485732e-01 -1.80940852e-01 -1.26557862e-02 5.62768988e-02 -1.54204726e-01 -1.57727256e-01 -8.41814652e-02 1.07328691e-01 -3.06895282e-02 -5.50143945e-04 3.79368328e-02 2.62341984e-02 -1.58535726e-02 -5.27884029e-02 9.26900506e-02 -2.11161345e-01 -4.94161434e-03 5.00243669e-03 9.27446969e-03 -2.28152409e-01 -6.17204532e-02 -2.34912317e-02 -6.84901476e-02 -1.59034748e-02 7.46901642e-05 -1.43039990e-02 1.02107339e-02 -1.88583657e-02 -1.16881810e-01 6.60327673e-02 6.47915378e-02 -1.19562261e-02] Cos Similarity tf.Tensor(-0.09011426, shape=(), dtype=float32) (128,) (128,) [ 0.05162003 0.16977194 0.0781959 -0.04555831 -0.02278058 0.03641098 0.10779177 0.14709482 0.00256863 -0.00040839 -0.10670027 0.02215502 0.01063427 -0.12771018 0.17467605 0.10996642 0.0203643 0.18922983 -0.03607986 -0.03232836 -0.10920193 -0.16113089 0.0290463 -0.11439692 0.03302385 0.01195971 0.1227299 0.01504258 0.20227838 -0.14923476 -0.06814305 -0.19302304 -0.01138148 0.01669011 0.16501142 0.00522702 0.01524781 0.13361594 -0.03665793 -0.14213525 -0.12670839 0.01341414 0.00122908 0.00413711 0.03337041 -0.16415712 -0.04803878 0.02567321 0.01398522 -0.01378546 0.01292802 -0.00393326 0.02879162 0.01369898 0.03690219 0.01616322 0.21191724 0.01541916 0.01950124 0.01071413 -0.00539232 -0.15735231 -0.11713233 0.02365262 0.1704563 -0.08398706 0.00732899 -0.02826807 -0.00332383 0.19145268 0.02225384 0.03827078 0.01051391 0.01046918 0.01240167 0.04247991 0.13325454 -0.09332617 -0.00753631 -0.20384799 0.02307623 0.00026011 -0.00121862 -0.16827299 0.07052498 0.12160167 -0.1394505 0.00684551 0.00249698 -0.10148688 0.08517627 0.05928092 0.03000985 0.01661051 0.03278114 -0.06430629 0.04274895 -0.20275745 0.00851884 -0.00409452 0.2089122 0.14801076 -0.14403334 0.08748007 -0.01065932 0.00109284 0.04707448 0.01078799 0.02730853 -0.10200565 0.0209837 0.00339771 0.0269179 -0.02436448 0.10950068 -0.02543307 -0.03490348 0.01604279 -0.06999613 -0.04902656 -0.00194494 -0.10973588 0.04323752 0.02868982 -0.0066788 0.09807245 0.01565852 0.00108406] [ 5.42956889e-02 5.06564714e-02 6.36403263e-02 -2.58675739e-02 -3.00751776e-02 2.97423340e-02 -1.54217929e-01 1.76159039e-01 4.13792115e-03 -1.09714670e-02 1.69631481e-01 1.83458570e-02 2.91842473e-04 -2.07054138e-01 1.65238425e-01 2.31178090e-01 4.82933270e-03 1.20420299e-01 -7.34094158e-02 -5.42527102e-02 -2.09134743e-01 -9.93597806e-02 1.07188836e-01 5.46733150e-04 1.06727704e-02 5.17055998e-03 -7.00399876e-02 8.34955648e-03 2.31713653e-01 -4.73521575e-02 5.41823693e-02 -1.87781736e-01 -9.70215537e-03 4.36818134e-03 1.97971091e-01 -2.86913607e-02 9.76264756e-03 5.13006281e-03 -2.61184201e-02 1.01292931e-01 -7.02538341e-02 5.63985854e-03 -4.02356265e-03 -2.32369476e-03 8.86845440e-02 -1.21332251e-01 7.18001798e-02 4.91834618e-03 1.28658954e-02 -1.53913936e-02 4.79463581e-03 -5.55928377e-03 2.15334948e-02 4.86195879e-03 2.59185210e-02 4.57943138e-03 2.53205091e-01 1.01274801e-02 1.01643605e-02 1.01170037e-03 -2.42176335e-02 -7.34828487e-02 1.17012814e-01 4.11490304e-03 1.36119932e-01 -1.82147976e-02 -1.95676973e-03 6.02211468e-02 -1.17097367e-02 1.19101681e-01 1.30553432e-02 -1.22815169e-01 6.35032170e-03 1.10969497e-02 -1.18412431e-02 2.59055607e-02 1.36618733e-01 4.88914736e-02 -4.70159983e-04 -2.02650413e-01 1.40688270e-02 8.06049211e-04 1.07568770e-03 -5.23005147e-03 2.61562169e-02 -2.43694447e-02 -1.97114304e-01 2.46710214e-03 -3.42953205e-03 -1.26517788e-02 3.79958712e-02 5.88368066e-02 3.95404408e-03 1.28189186e-02 1.98351052e-02 1.98438503e-02 4.50209081e-02 -9.74170864e-02 4.67386184e-04 -9.17158648e-02 2.34485969e-01 -1.65650211e-02 -2.02281162e-01 2.20801994e-01 -1.95996165e-02 -3.01846080e-06 -1.39592096e-01 2.13772692e-02 8.37422814e-03 3.96219082e-02 -5.01507036e-02 -2.21649837e-02 1.96809433e-02 9.61101577e-02 -3.57120782e-02 1.00084849e-01 2.29960475e-02 6.62378874e-03 -1.42093122e-01 1.26376813e-02 -3.38979857e-03 -6.02850504e-02 3.29955220e-02 -4.18618275e-03 -1.54710785e-01 -6.41850848e-03 -3.89541499e-02 9.57559445e-04] Cos Similarity tf.Tensor(0.58909273, shape=(), dtype=float32) (128,) (128,) [-0.18043101 0.23302981 -0.0233929 0.02651739 0.1098078 -0.09198254 0.07555894 -0.10081859 0.04070125 0.10131252 -0.00461909 -0.05632409 0.10656197 0.03376597 -0.15995388 0.02549614 0.15676266 0.07490268 0.13248098 -0.0291948 0.04298853 -0.18355286 0.05002571 0.04057267 0.09890161 -0.00091924 -0.04884711 -0.0169433 0.15547588 0.03517959 0.00101563 0.00994156 0.15159646 0.0821624 -0.0749343 -0.12249539 0.03948081 0.03819868 -0.15435359 -0.04400692 0.06892483 0.06952972 0.01813287 0.04454703 -0.19532083 -0.03490672 -0.00330116 0.13490605 0.12478013 0.11624508 0.05102707 0.01494553 0.08266435 0.03684616 0.15306588 0.0397874 0.04284449 -0.07895206 0.03121806 0.17911598 -0.11599492 0.15625094 -0.04883648 0.03035612 0.03558278 0.12350518 0.05399564 -0.01446295 0.14026552 -0.07459884 0.06434645 -0.1510997 0.02703686 0.02043684 0.02102492 0.0845097 0.05580739 0.12324895 -0.00913639 -0.13532634 -0.03553696 0.01653521 0.00260703 -0.11203171 0.00386338 0.02243031 0.06664027 0.02992161 0.06378354 -0.14286982 -0.14266756 0.09897036 0.0362221 0.06621417 0.07668034 -0.06769209 -0.05937754 0.01681063 0.01811624 0.12332222 -0.04999464 -0.02834475 -0.08309204 0.01563372 0.09926952 0.10418218 -0.00635745 -0.03568368 0.10691255 0.04381434 -0.12501566 -0.00848957 0.00644293 0.05433873 -0.12293434 0.02152802 -0.0955181 0.07747668 0.00559802 0.17742881 0.04466213 0.05982415 0.06016443 0.02673138 0.17757674 0.0327809 0.02750166 -0.04483151] [-5.32867722e-02 1.88097417e-01 -4.40092124e-02 5.92311248e-02 -4.31418000e-03 -5.59455603e-02 1.36987954e-01 -1.10313356e-01 3.76467966e-03 1.39933568e-03 -2.17858821e-01 8.90764035e-03 1.36545841e-02 1.28799066e-01 3.39116268e-02 1.27529502e-01 1.36416545e-02 -1.15375947e-02 9.35905501e-02 -2.56798259e-04 -1.29772648e-01 7.67858103e-02 1.79538608e-01 2.09529132e-01 1.05743678e-02 9.41593107e-03 1.57136410e-01 2.43137125e-02 -1.93833157e-01 1.10049527e-02 -1.13417119e-01 3.91333438e-02 -1.88589785e-02 1.48182698e-02 -1.94136411e-01 -4.15881388e-02 1.43121295e-02 7.43043125e-02 -8.31751619e-03 -1.42388069e-03 -4.77437600e-02 4.12193360e-04 -5.96364902e-04 -9.12733376e-03 1.15358271e-01 6.11840077e-02 -1.57704914e-03 1.09951114e-04 7.84625206e-03 -1.34765999e-02 6.64693303e-03 4.89865197e-03 -1.23418551e-02 4.12504375e-03 1.53777543e-02 2.15064846e-02 -5.20760268e-02 -1.18886949e-02 4.08565626e-03 2.06016246e-02 -1.92497134e-01 1.90036684e-01 1.04050227e-02 -3.38685093e-03 -1.51898250e-01 3.88495363e-02 -6.84339274e-03 -7.17947334e-02 4.42047045e-03 -1.80592164e-02 -7.85884098e-04 -2.07921401e-01 1.09934146e-02 -4.82765818e-03 7.01753935e-03 9.54176206e-03 3.65828164e-02 1.92168400e-01 5.30105177e-03 -1.94539696e-01 4.51254984e-03 5.22825355e-03 -6.21204544e-03 -1.36319786e-01 -4.29375321e-02 1.24075048e-01 7.67474920e-02 7.57175684e-03 -2.44542467e-03 1.40118357e-02 -5.40046729e-02 1.65561005e-01 -7.35982694e-03 1.90403275e-02 1.27374874e-02 4.37185839e-02 4.25631367e-02 5.56685328e-02 2.14915653e-03 -8.40634555e-02 1.81352258e-01 1.82703808e-01 -1.59569338e-01 -2.07431361e-01 5.71010355e-03 1.00781033e-02 -6.26694784e-02 -1.82993466e-03 5.57125406e-03 2.12755024e-01 3.43099423e-02 1.05086736e-01 5.89986239e-03 1.15014829e-01 -1.62592065e-02 -1.07357092e-01 2.06448883e-02 2.15545204e-02 9.29281041e-02 -3.87648568e-02 2.74417805e-03 -5.29634543e-02 -1.82989649e-02 -1.09546185e-02 1.93027273e-01 9.79606062e-04 4.91199531e-02 2.01215455e-03] Cos Similarity tf.Tensor(0.26386255, shape=(), dtype=float32) (128,) (128,) [-0.20367558 0.04724194 -0.1041816 -0.17247006 0.03712517 -0.000659 0.00239103 -0.14212486 0.02536547 0.00989386 0.16381383 -0.0012019 0.04378774 0.10637474 -0.09287075 -0.18681334 0.05081579 -0.07035552 -0.13495855 -0.04217788 -0.09199953 0.03451883 0.08054794 0.0140971 0.02199428 0.0079275 0.1956248 -0.03510154 0.07876322 -0.08007978 0.19424015 -0.10611408 -0.01564425 0.04083384 0.10371721 -0.09391201 0.04463899 0.1777675 -0.03594964 0.03922965 0.04841471 -0.02388284 -0.00136797 -0.00168799 0.22870493 -0.02185803 0.0382231 -0.00553529 0.0210792 0.02423697 0.0013364 0.00622384 0.01798822 0.00878428 0.02128987 0.02643908 0.0730613 -0.02583571 -0.0126511 0.0048732 -0.03877709 0.08867029 -0.09508124 0.02428352 0.12920243 -0.02663304 -0.00967543 -0.11959365 0.00264178 -0.07712497 0.1698162 -0.1877174 -0.00270204 0.01325953 0.00782416 0.01478904 0.08955425 -0.07262492 0.00163086 0.20089202 -0.02428375 -0.00597416 0.00181975 -0.04533266 0.02325966 0.1442147 -0.16563772 0.01102532 -0.00984862 -0.06960986 0.09431906 -0.0514802 0.00575659 0.02283139 0.024636 0.13929334 -0.01181904 0.2206877 0.01235306 -0.05127432 -0.15184493 -0.10455435 0.09047922 -0.01418877 0.01919329 0.05388647 0.00184513 -0.0203097 0.03291671 -0.02787861 -0.05546965 -0.18550374 -0.01530502 -0.19374022 -0.09972671 -0.00026492 0.16108884 0.02347151 -0.18349539 0.0215886 0.01086681 -0.07467958 0.00322815 0.00374255 0.15353692 0.03155751 -0.03043081 0.01186435] [-0.20817657 0.14262705 -0.07966016 -0.15208115 0.03437259 -0.1006398 -0.00090987 -0.15137625 0.02923958 0.01217267 0.18078175 -0.00115114 0.05222522 0.11185335 -0.03287087 -0.16012299 0.05009408 -0.06256208 -0.0988068 -0.02203041 -0.11096501 0.0235929 0.08115984 0.04790564 0.02049016 0.00845046 0.20146441 -0.01230452 0.09950939 0.02813324 0.19664086 -0.03212953 -0.01859675 0.04213653 0.14814124 -0.08113721 0.05272522 0.17395185 -0.03603211 -0.048065 0.14311546 -0.02488571 0.00798051 -0.00683676 0.23327102 -0.03983269 0.02427941 -0.00679256 0.02290764 0.02835279 0.00499491 0.00638979 0.0166901 0.00847069 0.02033939 0.02638076 0.07331769 -0.02605223 -0.01540609 0.00630046 -0.02276811 0.16025688 0.01510853 0.02990731 0.05551513 -0.02183794 -0.00759014 -0.09358049 0.0096225 0.02609401 0.14815004 -0.1683853 -0.00193857 0.01413437 0.00903944 0.01794981 0.15015209 -0.09829045 -0.00211313 0.20967606 -0.02648638 -0.01696732 0.00614836 -0.14304237 0.03377249 0.13407573 -0.04014801 0.01108682 -0.01200448 0.01939019 0.00315164 -0.07891826 0.00600159 0.02830598 0.03102959 0.15759909 -0.01196496 0.22340408 0.02006761 0.0805489 -0.11872314 -0.00464502 0.12828948 -0.08721903 0.02306506 0.05116309 -0.02022894 -0.02213652 0.03532536 0.02356307 -0.05647252 -0.18192823 -0.0150118 -0.18946886 -0.10128181 -0.02858487 0.09220605 0.0181849 -0.19162197 0.03025722 0.01276214 -0.09440807 0.00486631 -0.00167519 0.16608614 0.03816379 0.00330194 0.01479571] Cos Similarity tf.Tensor(0.90263045, shape=(), dtype=float32) (128,) (128,) [ 1.79350823e-01 -4.24144929e-03 6.48562051e-03 4.92663383e-02 -1.28812371e-02 1.54396936e-01 7.98060670e-02 7.06799403e-02 3.51817138e-03 -3.02084675e-03 -1.50445610e-01 -1.64992698e-02 -1.35371718e-03 6.91381842e-02 1.05727807e-01 1.02253586e-01 -7.07584759e-03 2.03776866e-01 -7.62791708e-02 -1.81869976e-02 -2.08031550e-01 -1.94666073e-01 -1.80109605e-01 -1.10755684e-02 -2.63145790e-02 6.61163311e-03 1.60670877e-01 -8.80604982e-03 1.40725836e-01 -1.97288856e-01 7.24933818e-02 -3.08706723e-02 -1.95642095e-03 1.08618673e-03 4.46374379e-02 1.32347634e-02 -7.89995305e-03 -3.25474739e-02 -1.08679375e-02 -1.62078783e-01 1.99704289e-01 3.51244409e-04 -1.75359042e-03 6.69116573e-03 -8.65297541e-02 -1.40335560e-01 1.34793684e-01 8.70663859e-03 9.47602559e-03 1.89942308e-02 1.84808834e-03 1.47818227e-03 8.33821658e-04 7.12248124e-03 3.21150618e-03 7.80374836e-03 -1.04785249e-01 3.95845389e-03 1.94326532e-03 -1.25297420e-02 1.96680367e-01 5.47374673e-02 1.16174147e-01 -2.79532629e-03 6.07640445e-02 8.88507441e-02 -4.52936278e-04 1.73116520e-01 -2.25502881e-03 1.03550963e-01 -8.24839324e-02 1.00380821e-04 3.92798241e-03 -4.24877694e-03 -6.84966845e-03 1.55399526e-02 1.06660455e-01 1.03959151e-01 5.54985367e-03 6.41113892e-02 -6.75236713e-03 1.85179152e-03 -9.37619898e-03 -8.68151023e-04 -1.02078423e-01 1.97969884e-01 2.34032720e-02 1.03314314e-02 -8.52773082e-04 1.52198941e-01 6.86005875e-02 -2.00676858e-01 4.21873759e-03 6.03728602e-03 -2.58239306e-04 1.50101736e-01 1.14989959e-01 1.34397477e-01 -1.59666408e-03 -1.17309503e-01 -1.43440906e-02 -7.70233870e-02 -2.11567264e-02 -8.80563706e-02 -1.04024066e-02 6.70784572e-03 -6.49955415e-04 -4.87871142e-03 3.03490297e-03 -3.01649142e-02 1.66326120e-01 7.57985562e-02 1.02104328e-03 7.92119503e-02 -1.59225166e-02 1.86587125e-01 -1.88387111e-01 -1.71949416e-02 -1.13837272e-01 -2.54567601e-02 -2.82479730e-03 -1.13898136e-01 9.32764262e-04 -1.96456723e-02 -1.14794984e-01 8.64998475e-02 3.46513209e-03 -1.07713714e-02] [-1.38680488e-01 8.39844346e-02 -7.64990672e-02 1.66328415e-01 -1.27375135e-02 1.66439965e-01 -6.55790195e-02 5.63149787e-02 1.16367091e-03 -1.78987626e-03 -1.09774902e-01 -8.89367145e-03 -3.29356431e-03 -2.39701197e-02 5.57644479e-02 -1.24491252e-01 -2.73082824e-03 -1.49288028e-01 -1.16583474e-01 -6.56745881e-02 -1.13328636e-01 -2.10439935e-01 -1.91036798e-02 -1.38181020e-02 1.87303362e-04 6.98594982e-03 1.73270106e-01 -2.87931748e-02 8.83292407e-02 -2.31133550e-01 6.06249012e-02 2.25611508e-01 -5.30748488e-03 -1.63087286e-02 2.51321290e-02 1.45683601e-03 -4.12065955e-03 -9.42845717e-02 -4.97909077e-03 -9.76562947e-02 2.17472523e-01 9.69409384e-03 -5.20091504e-03 -2.19795164e-02 -2.86551304e-02 -1.42779768e-01 1.35327786e-01 -4.35629766e-03 -2.18144828e-03 1.58899240e-02 7.33186305e-03 1.42543064e-02 -5.20799868e-03 4.38720873e-03 -7.50120543e-03 1.41681544e-02 -1.57552302e-01 2.11507501e-03 -6.15574326e-03 2.87370570e-03 1.13579310e-01 -6.84582489e-03 -4.37319558e-03 -1.06885489e-02 1.51777968e-01 -2.53085396e-03 -1.35850515e-02 1.68770820e-01 -1.39137555e-03 4.47959267e-02 -2.17070337e-02 -1.21813573e-01 6.17600465e-03 -1.46334211e-03 -3.03817703e-03 -8.61146022e-03 -8.96484703e-02 1.16481125e-01 -1.23051356e-03 -3.90223265e-02 -1.70491673e-02 7.82584678e-03 -2.65741516e-02 -7.00050294e-02 8.16842020e-02 1.63387775e-01 -6.02791868e-02 7.84239359e-03 -9.43365507e-03 1.38732433e-01 -1.86139923e-02 -1.29997909e-01 -1.87028404e-02 4.87650977e-03 7.06989737e-03 1.59768924e-01 1.15245663e-01 5.87859415e-02 1.90184670e-04 -7.19470754e-02 9.71786603e-02 -1.61347046e-01 1.87507004e-01 -1.01550259e-01 -1.66792877e-03 -1.32926749e-02 -8.08770359e-02 -1.91653110e-02 -1.26568601e-02 -1.11936793e-01 2.15839505e-01 -1.58909056e-02 -4.42002062e-03 1.53489873e-01 2.63469368e-02 4.44379151e-02 -1.44426361e-01 -1.22971332e-03 -8.58291239e-02 -1.73800904e-02 -2.04399810e-03 -1.50652319e-01 1.32465838e-02 -1.52658885e-02 -1.86498135e-01 5.03709912e-02 2.27090362e-02 -1.75792687e-02] Cos Similarity tf.Tensor(0.61146224, shape=(), dtype=float32) (128,) (128,) [ 0.18728691 -0.0482218 -0.05735035 0.15478651 -0.0238728 0.00045389 0.07370268 -0.15757594 0.00110352 -0.00960146 -0.0042787 0.00703569 0.00228435 -0.06415803 0.00027954 -0.18212879 0.00283638 0.17019378 -0.20938304 -0.17223765 -0.01809998 0.05117942 -0.1640932 0.14414045 -0.00975679 0.02042621 0.02593846 0.02098831 -0.17745832 0.00871207 -0.1811122 0.02457638 0.02850729 -0.01531758 -0.15311801 0.03599491 -0.01360962 -0.13187334 0.00231584 -0.14727663 0.00119483 -0.00420472 -0.0113313 0.00439494 -0.12495238 0.08344574 -0.01840132 0.01338445 0.00769718 -0.00701978 0.00852688 0.00056736 0.00387603 0.01121233 -0.01594655 0.01189542 -0.10019928 0.00314116 0.00887762 0.01101379 0.20087482 -0.0232454 -0.05113181 -0.00131777 -0.13040294 0.16588539 0.00753174 -0.12826078 -0.0107589 0.01595138 0.07505333 -0.04415521 0.00149533 -0.00881051 -0.00628398 0.01988359 -0.16994321 -0.11482704 -0.00239969 0.03115168 0.00306158 -0.00406661 0.01584162 0.11568087 -0.07574005 -0.19125582 -0.12897019 0.01429225 0.00253494 -0.2031707 -0.0503413 0.06900286 0.00367798 0.00652194 -0.01074893 -0.06320191 -0.0155709 -0.20890547 0.00309454 0.1591483 -0.05263044 0.13382432 0.1870056 -0.03012061 0.00749548 -0.00086271 -0.16901843 -0.00111671 0.00255236 -0.00927018 0.15110856 0.17531127 0.00528722 -0.02773391 0.06675425 -0.0923726 0.07657272 -0.00536436 -0.09223532 -0.02050626 -0.01437612 0.09136494 0.01774777 0.05643169 0.05845594 0.07601286 -0.09084522 -0.01637143] [ 1.81816667e-01 -1.50505498e-01 4.43842225e-02 1.58184290e-01 -3.23387012e-02 6.09091995e-03 1.22068319e-02 -1.45655438e-01 6.73387758e-03 -7.92729761e-03 6.20917305e-02 -6.21612789e-03 -6.17404375e-03 -9.50695798e-02 -6.45749420e-02 -1.74093783e-01 2.32785451e-03 1.77248463e-01 -1.03053488e-01 -2.08097771e-01 -6.99580610e-02 1.21884584e-01 -1.90052569e-01 1.71519235e-01 -1.07971402e-02 1.36050060e-02 5.58512227e-04 1.46929547e-02 -1.29710644e-01 8.18698183e-02 9.39933583e-02 5.45747653e-02 1.80842243e-02 -1.45443399e-02 -1.08183891e-01 1.63502283e-02 -1.71983540e-02 -1.65241703e-01 6.79459376e-03 -1.98708922e-01 -1.40247401e-02 1.89626098e-05 -9.99792945e-03 1.05018131e-02 -1.01673335e-01 -9.23398137e-02 -1.53644979e-02 5.15813939e-03 8.30178615e-03 -4.81688930e-03 1.09300129e-02 -2.38229474e-03 -1.63038187e-02 7.51978718e-03 -1.94798447e-02 -5.59989037e-03 -1.18844815e-01 -2.18723828e-04 4.77963872e-03 -2.31375708e-03 2.09911779e-01 1.53642833e-01 -5.73563331e-04 -3.45718339e-02 -1.31317765e-01 1.38968363e-01 -6.02977118e-03 -1.60507396e-01 -2.80500669e-02 -1.34842336e-01 -6.90359026e-02 -1.75396532e-01 6.14525750e-03 -5.39406668e-03 -8.43369775e-03 1.30087463e-02 -2.10943207e-01 -1.04991309e-01 -9.04088002e-03 -1.40956536e-01 2.36770744e-03 -8.34816787e-03 -1.85753673e-03 2.25528907e-02 1.00785844e-01 -1.15597032e-01 -5.94076328e-02 9.84992180e-03 -3.89921176e-03 -1.59515917e-01 -3.72932926e-02 1.38693660e-01 -7.09409639e-03 5.31980442e-03 -5.38979005e-03 -1.48923427e-01 -2.71112123e-03 -2.30756402e-01 -5.77021018e-03 3.64823528e-02 -9.91686136e-02 1.69765092e-02 1.26148120e-01 3.31639238e-02 1.10575622e-02 -4.88971500e-03 -1.23180963e-01 2.92047346e-03 -1.16582187e-02 6.08646907e-02 6.88323239e-03 1.20239081e-02 -1.36197815e-02 -2.98126079e-02 3.22875828e-02 1.38700947e-01 1.37396231e-01 -7.75228394e-03 -1.17563337e-01 -2.62150262e-02 -3.12934723e-03 1.63845737e-02 1.45608615e-02 3.51771191e-02 -3.52401868e-03 3.14822346e-02 -1.00325949e-01 -1.42446598e-02] Cos Similarity tf.Tensor(0.7294238, shape=(), dtype=float32) (128,) (128,) [ 2.6553145e-02 1.3612689e-01 2.2777065e-03 -5.9100017e-02 -2.2134697e-02 -1.2033262e-01 -1.3584846e-01 7.8076392e-02 8.7040424e-04 -1.8449964e-02 -1.5748225e-02 -6.6607110e-03 -2.2128753e-02 -1.2434795e-01 4.9850807e-02 -3.0199209e-02 -7.0406222e-03 -3.5838407e-02 -1.8950027e-01 -1.5515792e-01 -2.3168346e-01 5.4151360e-02 1.5104733e-01 -8.5232809e-02 -1.3298284e-02 -2.0450520e-04 -1.1300036e-01 -6.4333067e-03 -9.2966385e-02 6.5057732e-02 7.0396191e-03 -1.6790308e-01 7.6216226e-04 -1.6974419e-02 -9.6404046e-02 -7.8759547e-03 4.8639365e-03 2.5977877e-01 -6.6505880e-03 -1.9680351e-01 -7.9158798e-02 5.0701592e-03 -2.8750720e-03 -1.6134385e-03 -4.4066899e-02 1.0158156e-01 8.6710960e-02 6.8000755e-03 1.2760544e-02 7.7252286e-03 2.7356485e-03 1.4369427e-03 -1.9492736e-02 6.9143954e-03 -2.3225602e-04 1.0893588e-03 -2.3027249e-02 9.8618437e-03 3.8266154e-03 -1.1307630e-02 -5.9582155e-02 1.2610234e-01 1.3521083e-01 -2.2300543e-02 1.0778304e-01 -4.1719615e-02 -1.3025442e-02 2.5801113e-02 -2.3712315e-02 1.0040695e-01 9.2049643e-02 -1.7334484e-01 -6.2452676e-03 -2.4325184e-03 -2.1951364e-02 1.6190190e-02 2.0050378e-01 -1.3541737e-01 -6.0335537e-05 4.7068533e-02 -4.6867658e-03 -2.9790471e-03 1.1923941e-02 5.3359538e-02 -2.8812354e-02 2.2072156e-01 -2.4636117e-01 9.1237454e-03 -9.2486329e-03 -2.4286445e-02 -1.2248307e-02 -1.0118843e-01 3.5943913e-03 7.2857006e-03 -3.1612508e-02 -4.5374800e-02 -1.7006826e-01 -2.0742352e-01 -1.6316155e-02 -8.6158805e-02 -2.5097132e-02 1.1818349e-01 -1.9672878e-01 2.3884222e-01 5.3442884e-03 -1.0085433e-03 1.8729331e-02 3.1071303e-02 -3.3288118e-03 9.2424743e-02 3.2645114e-02 1.1980029e-01 1.6127225e-03 -2.5088472e-02 -4.6065878e-02 1.9889636e-01 -2.8050885e-02 -4.3594120e-03 -3.0869847e-02 -1.2234965e-02 7.5030988e-03 -1.0164233e-01 -8.8658398e-03 1.9891726e-02 -6.8090990e-02 5.6889456e-02 5.5519372e-02 -1.2520628e-02] [-0.02005427 0.12279224 0.1411784 0.06565999 -0.00766119 0.15276246 -0.10483684 0.06610614 0.00516437 -0.01155031 -0.20050909 -0.01057911 -0.01196748 -0.1006469 0.0038183 -0.19132175 -0.00126656 0.11787679 -0.03236243 -0.08511389 -0.15862279 0.11733119 0.09942164 -0.06828044 -0.00881933 0.00263271 -0.16879459 -0.00617705 -0.03104836 0.08990893 -0.06927738 -0.17485969 0.01357817 0.00978755 0.02043906 -0.00055751 0.00214749 0.20265366 -0.00756136 -0.16725384 -0.05126717 -0.00033342 -0.00127304 0.01036567 -0.03442964 -0.0153136 -0.12752268 0.01136877 0.01262789 0.00815293 0.00096888 0.00301065 -0.00489446 0.0058137 0.00363474 -0.00129524 0.16094504 0.00626209 0.00519953 -0.01905184 -0.02002061 -0.05684837 0.22281688 -0.0217939 0.12252403 0.00775094 -0.00591523 0.12560403 -0.01467905 -0.01733441 -0.02597675 -0.19103251 -0.00410999 -0.00096296 -0.01356476 0.0235616 0.15318169 -0.08600771 -0.00147604 -0.00726859 0.00198952 -0.00115026 0.01882895 0.11509437 -0.03409514 0.18638138 -0.19450028 0.01284234 -0.00602164 -0.11996862 0.0402207 -0.15513319 0.00738567 0.00616677 -0.02350656 0.06632531 -0.13279119 -0.21699269 -0.00662983 -0.04317388 -0.11153638 0.15926424 -0.13634545 0.20988952 0.00251636 0.00438622 -0.03819648 0.01144363 0.00038579 0.15843903 0.13205427 0.06866655 0.01254432 -0.04056529 -0.03831032 0.15435672 -0.06168513 -0.00049357 -0.08693621 -0.01120305 0.00514261 -0.14308698 -0.01152277 0.00263408 -0.07460681 0.0287537 0.01401121 -0.00653287] Cos Similarity tf.Tensor(0.7279742, shape=(), dtype=float32) (128,) (128,) [ 1.34641379e-01 4.65582833e-02 3.46613280e-03 -1.69425443e-01 -1.92859559e-03 1.28811896e-01 1.54277593e-01 1.63727209e-01 1.46338893e-02 -1.22058913e-02 8.06397349e-02 -2.26466749e-02 -9.38086398e-03 -1.88145041e-02 3.52058671e-02 2.00372547e-01 4.29263618e-03 -1.19677261e-02 -5.89525588e-02 -3.76796462e-02 1.07999817e-01 -3.09708938e-02 -1.70113798e-03 4.73457910e-02 -6.35806704e-04 -1.41232798e-04 1.28557444e-01 -1.00256118e-03 1.35603949e-01 1.93617836e-01 1.52334735e-01 1.78467214e-01 -1.27296681e-02 -5.08710975e-03 -5.53864129e-02 -2.83870827e-02 5.04908198e-03 -2.50729080e-02 3.82905593e-04 3.56375761e-02 1.81342304e-01 5.50653646e-03 -5.87067753e-03 6.98540593e-03 -6.50602952e-02 -1.11498624e-01 8.60262141e-02 2.86198547e-03 8.67843628e-03 9.80132259e-03 4.08643531e-03 4.30725981e-03 -7.49129755e-03 5.55565860e-03 -1.45206777e-02 9.34876688e-03 -8.83312076e-02 -3.78940208e-03 -1.80377020e-03 -2.30100122e-03 3.57343405e-02 -1.69095352e-01 1.04583599e-01 -6.45241188e-03 7.31924847e-02 -1.54545262e-01 -8.07752553e-03 1.07211284e-01 4.96585869e-07 -2.36225240e-02 1.47855505e-01 -1.72450110e-01 -9.52470466e-04 -3.89540498e-03 -1.64785665e-02 1.20063475e-03 8.94341767e-02 1.51129067e-01 7.81052653e-03 -2.03630611e-01 -6.34522038e-03 -8.79349187e-03 7.73460558e-03 -1.05759233e-01 9.26803946e-02 -1.78814024e-01 1.60086721e-01 8.19865428e-03 -9.48164146e-03 1.37427345e-01 -3.40728019e-03 -1.12683617e-01 -2.41284352e-02 9.83392447e-03 -1.76920532e-03 -1.79202035e-01 -5.32692187e-02 1.78115722e-03 -1.31043803e-03 1.40481621e-01 -1.09226532e-01 -7.78012574e-02 2.00425446e-01 -1.74523532e-01 -1.82372946e-02 6.83241291e-04 -8.32916498e-02 1.68619994e-02 -1.59589462e-02 1.16752118e-01 4.65330333e-02 1.10237105e-02 1.56080909e-03 1.93074480e-01 4.74029081e-03 7.64080584e-02 1.52468950e-01 -6.28311886e-03 -2.06335306e-01 -1.07071213e-02 7.85020704e-04 -1.49640247e-01 5.34353219e-03 5.99822495e-03 1.43823018e-02 1.59026217e-02 -1.34926010e-02 -3.88455158e-03] [ 0.03199054 -0.01052448 -0.02036026 -0.16199774 -0.00598285 -0.13288175 0.12009404 0.1738552 0.01850521 -0.00883889 -0.05448544 -0.01660653 0.00736089 -0.07281854 0.01045428 0.07856192 0.004671 0.00652068 0.02536487 0.09183236 0.06456639 0.0576317 0.05922963 0.10149627 0.00232738 -0.0016695 0.08781764 -0.00254494 0.11225282 0.15608662 0.18524238 0.19902928 -0.01380087 0.00159937 -0.07527044 -0.03695944 0.00830671 0.14781815 0.00415499 0.09865888 0.06396408 0.00031346 -0.00442273 0.01104519 -0.11210589 -0.11236509 0.15485576 0.00933042 0.00974354 -0.0051966 0.00979492 0.00135136 -0.00616366 0.00751128 -0.02755745 0.01287786 -0.04060631 -0.00134006 0.00811641 0.00058822 -0.01523477 -0.16286571 0.10348829 0.01533642 0.09866977 -0.1962305 -0.00824171 0.02516853 -0.0109456 -0.04702453 0.15427087 -0.18217151 0.00339484 0.004555 0.00271701 0.00769634 0.04810758 0.13733709 0.00479999 -0.19799392 -0.00935879 0.00253947 0.0007136 -0.15648772 0.13749677 -0.19997817 0.08563734 0.01195216 -0.00654219 0.12786126 -0.11548547 0.05344387 -0.05504408 0.01023872 0.01563239 -0.19036609 -0.12249745 0.13845901 -0.00377165 0.11151494 -0.158099 -0.0843676 0.19003147 -0.13311398 -0.01791838 0.00823823 0.06893708 0.02264276 -0.0137018 0.1206598 0.03820186 -0.03968122 -0.00660195 0.18673499 -0.01487814 0.07217767 0.08776852 0.00181099 -0.19475947 -0.0171694 -0.00481765 -0.1682387 0.02898683 -0.0107234 0.08124376 -0.00157739 -0.04846306 -0.00468796] Cos Similarity tf.Tensor(0.8202484, shape=(), dtype=float32) (128,) (128,) [ 1.11407876e-01 2.20075995e-02 -4.03112657e-02 2.80055162e-02 -1.23163518e-02 -3.87400463e-02 9.07347724e-02 1.07772171e-01 3.55869462e-03 -8.42860062e-03 7.16172084e-02 -2.50042155e-02 -6.08382607e-03 2.44544849e-01 -2.04613386e-03 3.28347273e-02 -1.85732786e-02 -1.66197464e-01 3.90413664e-02 1.67279005e-01 -8.20230395e-02 7.76321534e-03 6.10537007e-02 8.54105223e-03 -5.97010506e-03 2.39702617e-03 1.44373164e-01 -2.24755574e-02 1.76418051e-01 -6.01797439e-02 1.82699397e-01 -1.70350224e-01 -1.07191736e-02 -1.27889412e-02 -1.33641377e-01 -4.59710835e-03 1.63955905e-03 7.19426498e-02 2.19396967e-03 -2.18437552e-01 1.00712487e-02 -2.57553277e-03 -2.09988328e-03 -7.35425577e-03 1.86406493e-01 -1.65960371e-01 1.85067698e-01 -8.26219097e-03 2.20647734e-03 1.13091078e-02 -1.43866963e-03 3.74997058e-03 -2.03695651e-02 1.11366993e-04 -7.40616396e-03 3.94950574e-03 -6.16096929e-02 -4.46803961e-03 -1.32997716e-02 -2.88788639e-02 1.31916657e-01 5.76514192e-02 5.40871248e-02 -5.00905653e-03 1.34774908e-01 -5.38311787e-02 -3.77628743e-03 1.02155693e-01 -2.37176027e-02 -8.39287117e-02 1.92694545e-01 -1.94874585e-01 -2.24027433e-03 2.64917756e-03 -1.71611668e-03 -3.56696220e-03 -1.32586747e-01 1.29526407e-01 6.05182210e-03 -1.74793333e-01 -2.31715553e-02 4.84370030e-02 -9.14943218e-03 -3.65532003e-03 4.25807834e-02 -9.12874192e-02 -1.70607924e-01 5.58430701e-03 -2.19859798e-02 3.38283814e-02 1.71154048e-02 -7.23396465e-02 -5.53817898e-02 -3.93566093e-04 6.99400064e-03 1.71461880e-01 -1.87828928e-01 -1.16613604e-01 -4.30723140e-03 -9.60813742e-03 -5.48331719e-03 4.37107310e-02 6.28663674e-02 -1.09186739e-01 -3.11615653e-02 2.00872310e-03 1.02719985e-01 1.39601352e-02 -2.54599825e-02 5.63749671e-02 1.36434436e-01 -1.36828408e-01 -7.07927905e-03 -1.66741505e-01 6.12669662e-02 7.71982446e-02 1.56145871e-01 -9.18887649e-03 -7.74989650e-02 -3.23868655e-02 5.49479760e-03 1.87065572e-01 -8.89863912e-03 -1.64665096e-02 9.23984945e-02 3.22746746e-02 1.33976206e-01 -7.67906895e-03] [ 1.17096968e-01 2.53024660e-02 -4.49961983e-02 2.61078458e-02 -6.80614309e-03 -3.15123126e-02 7.44346157e-02 1.03003629e-01 3.69282416e-03 -8.57829023e-03 6.71333224e-02 -2.45439429e-02 -6.60365913e-03 2.48481482e-01 -6.41474454e-03 4.01006751e-02 -1.28121236e-02 -1.70500785e-01 2.75587663e-02 1.69420093e-01 -8.33248198e-02 -1.90707054e-02 4.10512649e-02 8.50718841e-03 2.76944577e-03 8.82219698e-04 1.29484385e-01 -1.76578779e-02 1.82304323e-01 -5.50443083e-02 1.84130013e-01 -1.79754660e-01 -1.31247565e-02 -1.52006289e-02 -1.35351464e-01 -5.44408057e-03 4.77764849e-03 6.50904775e-02 8.53638572e-04 -2.17886299e-01 9.32744890e-03 -2.69455975e-03 -2.77235871e-04 -7.25073460e-03 1.95805863e-01 -1.82439774e-01 1.89689606e-01 -1.14316205e-02 7.05382845e-04 1.14371898e-02 -1.08900073e-03 5.98523859e-03 -2.57083010e-02 3.63339874e-04 -1.25461305e-02 4.23597731e-03 -5.48360050e-02 -5.53278439e-03 -1.47609636e-02 -2.75395066e-02 1.24941520e-01 7.10043311e-02 4.36224081e-02 -4.78827860e-03 1.03065684e-01 -5.49618043e-02 -3.65352002e-03 1.06353104e-01 -2.31436677e-02 -7.99594820e-02 1.98667824e-01 -1.96314558e-01 -2.10490730e-03 3.00302822e-03 5.40688226e-04 -3.69488634e-03 -1.54612482e-01 1.36776179e-01 6.44665305e-03 -1.81144685e-01 -2.54831500e-02 4.96772453e-02 -8.12399294e-03 1.28804895e-04 4.17573750e-02 -1.06162302e-01 -1.62279844e-01 4.50948672e-03 -1.79930925e-02 2.37496868e-02 1.10795004e-02 -8.13646987e-02 -5.63744120e-02 2.62542511e-03 7.00518023e-03 1.78615242e-01 -1.90827265e-01 -1.22773267e-01 -3.73545848e-03 2.88054370e-03 4.15644748e-03 4.55290489e-02 4.36078608e-02 -1.01998210e-01 -2.91198790e-02 2.54509365e-03 8.38905498e-02 1.46942651e-02 -2.45256610e-02 4.30107787e-02 1.26534536e-01 -1.35423914e-01 -8.01341608e-03 -1.60047457e-01 6.18530437e-02 6.26917109e-02 1.50102004e-01 -5.36601385e-03 -4.81336862e-02 -2.95963306e-02 5.27398055e-03 1.82197884e-01 -9.48079675e-03 -1.22012207e-02 9.38085020e-02 3.64476070e-02 1.39514193e-01 -6.58354256e-03] Cos Similarity tf.Tensor(0.99592125, shape=(), dtype=float32) (128,) (128,) [ 1.97254564e-03 -1.10639036e-01 -4.01468128e-02 -3.45727652e-02 -5.52704511e-03 1.34349763e-01 -2.58825887e-02 8.54335576e-02 3.25799850e-03 -2.18080799e-03 1.02018215e-01 -4.21701558e-02 -8.74992274e-03 -1.40981218e-02 -2.39473563e-02 2.09761366e-01 -1.00300014e-02 5.17961569e-02 2.06027254e-01 4.50558476e-02 -1.07870243e-01 -2.04128712e-01 1.27223030e-01 -6.67067394e-02 -3.94468894e-03 -6.41064951e-03 -1.05533026e-01 -1.39092840e-02 3.21622472e-03 1.25718266e-01 1.04765661e-01 1.08467467e-01 -1.52663246e-03 -3.97906086e-04 -1.11508727e-01 -2.73502171e-02 7.48673547e-03 5.70329791e-03 7.10316701e-03 -1.73718125e-01 1.67528510e-01 7.64928805e-03 4.09769593e-03 6.66271336e-03 -3.28976773e-02 -3.18582803e-02 -9.96617004e-02 -8.02510232e-03 6.32007373e-03 9.37107659e-04 6.14037039e-03 5.08999033e-03 8.17555527e-04 9.79380403e-03 1.77405041e-03 6.92647591e-04 2.00362831e-01 -1.59947630e-02 2.59144162e-03 -1.48042962e-02 8.03457275e-02 4.93993908e-02 7.80739337e-02 -1.46826450e-02 1.85252801e-01 -1.57343268e-01 -1.30083747e-02 6.63720146e-02 2.70560337e-03 -1.14194546e-02 1.62225783e-01 -2.74913795e-02 1.07315052e-02 8.06866097e-04 -1.53988795e-02 1.38002746e-02 1.71375811e-01 -4.61928211e-02 -4.34839058e-05 -1.40693575e-01 -3.57422535e-03 -7.04433769e-02 3.52581497e-03 -1.14942238e-01 -2.97415555e-02 1.22394115e-01 1.98061600e-01 1.88829694e-02 -1.32182278e-02 1.71583757e-01 -1.11705542e-01 9.74973962e-02 -2.43913773e-02 -1.26704620e-03 -1.71485804e-02 1.59572899e-01 -1.68887287e-01 6.30169734e-02 -1.14058089e-02 1.34799927e-01 -1.24855220e-01 -1.76134199e-01 1.91232488e-01 3.58011127e-02 -1.15382066e-02 1.59215964e-02 -5.83642274e-02 7.90343340e-03 -1.35476207e-02 -1.66145787e-01 1.31332040e-01 1.65883169e-01 -5.21886442e-03 -2.30717193e-03 3.49554769e-03 -5.64573407e-02 -1.91482201e-01 -9.68067534e-03 -1.13829732e-01 1.21857005e-03 1.62638966e-02 -1.04223825e-01 1.17198778e-02 -1.87827088e-02 -1.19089626e-01 7.73062855e-02 1.36259813e-02 -6.45914231e-04] [-5.94611913e-02 -1.05122617e-03 6.78136805e-03 -1.19883187e-01 -1.74553227e-02 7.95974061e-02 -4.95871380e-02 -1.76996049e-02 -9.54424590e-03 5.99226868e-03 8.78626555e-02 -3.97020839e-02 1.20857311e-02 2.04765916e-01 1.17965028e-01 2.03806341e-01 -2.64651626e-02 -1.63914785e-02 1.74129024e-01 1.02553219e-01 -5.33098951e-02 -1.66944504e-01 2.13215783e-01 1.09125702e-02 -1.63158700e-02 2.32397299e-03 1.81390867e-01 -3.25304829e-02 5.75983562e-02 -2.84560472e-02 1.13520637e-01 -6.68315068e-02 -7.94544816e-03 1.01244263e-02 2.05108717e-01 -1.82278194e-02 1.10538006e-02 -1.33672757e-02 -8.27417616e-03 -1.58324957e-01 1.58798382e-01 4.31612553e-03 1.90938520e-03 9.96888522e-03 1.40210066e-03 5.95613495e-02 -1.01489730e-01 -1.23639209e-02 1.96179771e-03 5.97516075e-03 1.01608608e-03 7.91209936e-03 -1.18912430e-02 6.77964883e-03 2.13764701e-03 3.30442074e-03 9.82901081e-02 -1.75014175e-02 1.08457264e-03 -1.04527520e-02 -8.53974521e-02 -9.92087424e-02 8.63787904e-02 -7.33589474e-03 1.79773718e-01 4.63451482e-02 -3.19669172e-02 1.75528660e-01 -6.66898268e-05 6.25784174e-02 1.81619242e-01 -2.38002717e-01 3.17060552e-03 1.28511051e-02 -6.10136613e-03 7.13783735e-03 2.06437692e-01 -3.67366336e-02 8.81116651e-03 -1.14056282e-01 -8.27227999e-03 -5.23775704e-02 2.27340404e-03 6.75622700e-03 -7.72349164e-03 8.75863358e-02 1.06618002e-01 1.08024217e-02 -1.30384834e-02 -9.57285464e-02 3.61643322e-02 2.36359552e-01 -1.05830170e-02 -4.39335452e-03 -8.31045862e-03 -1.07208416e-01 -7.48499036e-02 1.16264082e-01 -1.46142952e-02 7.98120573e-02 -5.83487786e-02 -4.93467972e-02 7.10064769e-02 1.16230205e-01 -2.54287217e-02 -1.04580326e-02 -1.14172630e-01 3.76154232e-04 -1.86761469e-02 -1.66064009e-01 1.39347509e-01 1.43522903e-01 -5.23733860e-03 5.38061485e-02 -3.18116285e-02 5.42671420e-02 -5.51408641e-02 -7.46534730e-04 -2.34999359e-01 -2.47831997e-02 -4.69379639e-03 1.44661173e-01 -4.79433872e-03 -2.67618075e-02 -1.09748796e-01 1.16381301e-02 2.34413277e-02 -6.59450237e-03] Cos Similarity tf.Tensor(0.5290811, shape=(), dtype=float32) (128,) (128,) [-2.20679283e-01 -1.33163258e-01 -3.21581736e-02 -8.10440704e-02 3.75691918e-03 1.31742790e-01 9.15088225e-03 1.30552396e-01 1.56283490e-02 -6.73680659e-03 -2.19329119e-01 1.97510212e-03 -5.23343543e-03 -9.22151804e-02 2.51374673e-02 -9.94389206e-02 3.86545621e-03 1.45081118e-01 -1.78720698e-01 -9.50858742e-02 4.98257130e-02 -1.42152067e-02 -1.20611496e-01 4.57793660e-03 8.89973342e-03 -1.15778006e-03 1.12507731e-01 -2.74375007e-02 1.55693591e-01 7.49225914e-02 1.67757571e-02 -2.13415310e-01 -9.72340349e-03 -1.28176510e-02 5.90988845e-02 -1.28016546e-02 -8.73049069e-03 1.40691310e-01 -4.27516177e-03 1.24640539e-01 1.51379360e-02 -1.64245386e-02 -5.24757151e-03 -4.15824307e-03 -2.95534693e-02 1.83597073e-01 2.24582106e-01 -8.96680541e-03 9.39632766e-03 2.42749527e-02 3.02228611e-03 9.56237258e-04 -9.37552832e-04 1.63724192e-03 -1.37583222e-02 5.17582567e-03 8.81702676e-02 -6.52358122e-03 -7.27851759e-04 -6.16388861e-03 -4.30264976e-03 -1.85365006e-01 3.79441157e-02 -6.39786059e-03 -2.02830553e-01 1.69816867e-01 -8.46891053e-05 1.90103855e-02 -4.92040440e-03 1.15959652e-01 1.90594271e-02 2.03868866e-01 -1.48569827e-03 6.40238449e-03 -4.75754077e-03 6.88794814e-03 1.30585032e-02 7.02304691e-02 -2.17413035e-04 1.55143693e-01 -1.42490817e-02 -5.91808930e-04 1.90195683e-02 -2.95541584e-02 -1.88076675e-01 6.80572614e-02 1.04066264e-02 7.81296380e-03 -2.01036837e-02 3.60265188e-02 -2.97451159e-03 -1.94215506e-01 -2.08958937e-03 4.59743803e-03 7.09048891e-03 -1.64487660e-02 -1.43705934e-01 1.94926649e-01 6.34380733e-04 -6.16573207e-02 5.87473027e-02 -1.30703956e-01 6.70670569e-02 -5.02823433e-03 -1.78785510e-02 1.96215026e-02 -1.96823627e-01 -1.65062081e-02 -6.21395512e-03 2.21871827e-02 -1.47595257e-01 5.20517305e-02 -1.16061131e-02 1.19826943e-01 -4.18508798e-02 1.10768199e-01 -2.36909837e-02 -2.06216387e-02 1.47201747e-01 -1.05417380e-02 -2.92352028e-03 5.03720306e-02 1.36762615e-02 -9.85757541e-03 -1.78439572e-01 -7.82208964e-02 -7.21887201e-02 1.44832290e-03] [-0.22776379 -0.15088105 -0.03764215 -0.07901154 -0.00356294 0.14020614 0.10202073 0.00845523 0.00761811 -0.00104511 -0.1675723 0.00777007 -0.00856344 -0.04402089 0.02313151 -0.07643937 -0.01117775 0.09753485 -0.13515484 -0.09194192 0.05574805 -0.00424955 -0.10371231 0.06206799 0.00372312 0.00336486 0.04220625 -0.02476301 0.14790496 -0.03319537 0.0686295 -0.20457983 -0.00072382 -0.0058434 0.06907509 0.00942077 -0.02469605 0.11930379 -0.00241223 0.12270463 0.00930719 -0.01438881 -0.00451757 -0.00309177 0.15882264 0.1662512 0.21238253 0.00433773 0.00407401 0.02250074 0.00135909 0.00594999 -0.0036136 0.00105575 -0.00907787 0.00642389 0.02210494 -0.00572127 -0.01122491 -0.00218373 -0.18357591 -0.16906948 0.10437715 -0.00431527 -0.20624147 0.1864262 -0.0008454 0.01201937 -0.00635659 0.07058378 -0.04697487 0.19016798 0.00225201 0.0107724 -0.0031313 0.00244216 0.00255522 0.05984323 0.0018437 0.11114726 -0.02327578 -0.00071771 0.00634889 0.07745077 -0.19642337 0.12240628 -0.05877472 0.0071196 -0.02587537 0.05670943 0.05745525 -0.16544677 0.00524232 0.00393526 -0.0053802 -0.13060828 -0.14189085 0.15370026 0.00765425 -0.10504384 0.03562025 -0.00146109 0.11670997 -0.01899935 -0.00534962 0.0161196 -0.18171467 -0.00515963 -0.00630464 0.06435156 -0.1566914 0.03163355 -0.00749309 0.08969682 -0.02624535 0.14520204 -0.17165667 -0.01722423 0.1689556 -0.01682991 -0.00515269 0.02335669 0.01160343 -0.00943729 -0.18111005 -0.07764163 -0.06106468 -0.00136896] Cos Similarity tf.Tensor(0.88240236, shape=(), dtype=float32) (128,) (128,) [-1.19413532e-01 -4.99149226e-02 -1.84203368e-02 -1.27269521e-01 -1.62134576e-03 6.96954355e-02 1.04531191e-01 -1.87750965e-01 1.25330435e-02 8.83667637e-03 9.47916880e-02 3.58777912e-03 -9.11295228e-03 -6.62785992e-02 1.03900107e-02 2.01053232e-01 -8.31510965e-03 -6.43898547e-02 -6.55826926e-02 1.67444162e-02 3.48518938e-02 6.10595569e-02 -1.72322959e-01 -7.15588853e-02 2.53940397e-03 1.28595969e-02 1.45507663e-01 -1.52612207e-02 4.99282591e-02 1.10569805e-01 1.81558415e-01 9.52891707e-02 1.01635018e-02 -1.11103607e-02 8.46082792e-02 1.73402410e-02 -2.10870779e-03 9.09510851e-02 1.15010655e-02 1.72752634e-01 -2.19566133e-02 7.16562197e-03 -9.40686185e-03 1.75983161e-02 5.24959415e-02 -1.11141182e-01 -3.97804566e-02 -1.68564916e-02 -3.65234609e-03 3.85313714e-03 4.80532553e-03 -7.53335655e-03 5.19682467e-03 -3.40291765e-03 1.28306623e-03 3.14666308e-03 -1.97522402e-01 -6.75245514e-03 -1.14333341e-02 -1.25255967e-02 1.67182669e-01 -4.16016877e-02 1.82904787e-02 -3.36883729e-03 1.32204145e-01 1.04859419e-01 -9.10428818e-03 5.40561490e-02 -2.04012860e-02 5.74116930e-02 -1.63098514e-01 1.20661281e-01 4.50235268e-04 7.20385869e-04 -4.45750635e-03 -3.99143063e-03 3.33397537e-02 9.23269540e-02 -5.08465199e-03 -1.87050521e-01 -1.71806253e-02 -1.59886461e-02 -1.51730264e-02 1.54105231e-01 1.90994292e-01 -2.06229284e-01 7.53040165e-02 6.32719370e-03 -2.32662354e-03 -1.67101592e-01 -2.00253963e-01 1.60672784e-01 -2.32008509e-02 6.08989969e-03 4.21091728e-03 5.90738095e-02 1.70641184e-01 1.66946143e-01 -1.10969534e-02 -1.46398440e-01 -2.01683447e-01 -8.33045319e-02 3.35831530e-02 1.47742853e-01 -1.31360143e-02 -2.96199974e-02 2.86853057e-03 -1.80296116e-02 -1.19828368e-02 5.66471443e-02 -2.12995499e-01 -1.07028056e-02 -8.84604175e-03 3.20528597e-02 -3.17515470e-02 1.50142670e-01 -1.89945504e-01 -9.08644218e-03 2.52239988e-03 1.72741231e-04 6.80376636e-03 -7.69497827e-02 -7.32181733e-03 -1.44696422e-02 7.25328224e-03 -1.44606391e-02 7.58418441e-02 -2.33314652e-02] [-6.53277189e-02 -5.65022565e-02 -1.19962897e-02 -1.18565924e-01 -1.43695530e-02 8.29365402e-02 1.27590954e-01 -1.85392067e-01 9.52026993e-03 -2.29490967e-03 1.28373578e-01 -6.96941919e-04 -1.06735947e-03 -1.46941636e-02 8.31706375e-02 2.06099585e-01 7.14015448e-03 -4.85577658e-02 -1.01739585e-01 1.99300535e-02 5.82743771e-02 1.28301671e-02 -1.76882967e-01 -6.42136335e-02 -9.14398022e-03 8.04693811e-03 1.55369237e-01 -9.48798470e-03 9.44088697e-02 1.12253189e-01 1.83023989e-01 8.65609273e-02 1.90892059e-03 -2.90005561e-03 6.67765960e-02 9.62658599e-03 -8.89069028e-03 1.04906410e-01 2.80526467e-03 1.51141793e-01 -4.60860366e-03 1.73736771e-03 -7.08928145e-03 1.52176525e-02 6.67878538e-02 -7.76065737e-02 -4.71577048e-02 -4.24123229e-03 1.31343044e-02 9.02418327e-03 4.28676326e-03 -5.17711416e-03 -8.67188629e-03 -1.74654170e-03 -3.01804161e-03 1.08586543e-03 -2.02086121e-01 3.21501354e-03 2.64476589e-03 -1.96601395e-02 1.72055930e-01 -8.27897862e-02 1.80666056e-02 -7.51752697e-04 1.22124307e-01 1.03760868e-01 -1.06297946e-02 9.67331529e-02 -2.39864662e-02 1.10170513e-01 -1.71372131e-01 1.72864363e-01 -1.26734003e-02 -2.73492769e-03 -2.95928941e-04 1.25964759e-02 3.63820195e-02 8.26964229e-02 -6.07505580e-03 -1.68698654e-01 -1.51063250e-02 -2.07939092e-02 -1.32780988e-02 9.91747677e-02 1.72220975e-01 -1.90419167e-01 5.97195774e-02 -1.14741549e-03 1.14084373e-03 -1.26054555e-01 -2.11040020e-01 1.74313277e-01 -1.53880678e-02 3.61290271e-03 7.60506082e-05 5.56832217e-02 1.83496192e-01 1.62471622e-01 -1.25695411e-02 -1.60530731e-01 -1.91226169e-01 -9.40086693e-02 6.16106242e-02 1.51807442e-01 -1.15252351e-02 -2.45733894e-02 -3.17635611e-02 -1.29323462e-02 -9.91855375e-03 7.19512552e-02 -2.11614415e-01 5.60521483e-02 -2.01894026e-02 7.21818535e-03 -3.10472976e-02 1.22572556e-01 -1.71002761e-01 -2.08061766e-02 -1.35615541e-04 -1.22511890e-02 7.54989870e-03 -4.59453575e-02 6.77491957e-03 -1.45441135e-02 5.32777458e-02 -1.68409515e-02 3.84683609e-02 -1.95413660e-02] Cos Similarity tf.Tensor(0.97254854, shape=(), dtype=float32) (128,) (128,) [ 2.42698714e-01 1.73253581e-01 2.01222282e-02 8.36154372e-02 6.14010077e-03 1.70057341e-01 2.22000815e-02 6.14836551e-02 -1.64378975e-02 -1.33655127e-02 -1.47198364e-01 -2.54484564e-02 5.74854342e-03 3.89341898e-02 6.50157779e-02 1.42219499e-01 1.86457601e-03 8.85934085e-02 8.62950161e-02 -1.37955844e-01 1.71458840e-01 1.22144021e-01 6.55182824e-02 7.63641745e-02 1.38817565e-03 -3.37617053e-03 -3.71491425e-02 3.62209533e-03 1.72791794e-01 1.65832102e-01 -2.27785811e-01 9.15685371e-02 -4.87628160e-03 -1.67856470e-03 5.79311587e-02 -1.44331586e-02 1.30148176e-02 1.36942357e-01 -4.16695001e-03 -1.19500503e-01 1.02960005e-01 -6.12992048e-03 1.82536768e-03 -1.13920588e-02 -1.05997860e-01 1.68474257e-01 9.96689722e-02 8.85363948e-03 6.95583178e-03 9.01259109e-03 1.20667108e-04 4.61616181e-03 -2.53054388e-02 9.61580966e-03 -2.08629295e-02 1.04114627e-02 -1.88295603e-01 -2.98805418e-03 -1.56419128e-02 -1.09885167e-02 -1.22055985e-01 9.69144795e-03 2.09250867e-01 4.55185212e-03 -3.72329094e-02 1.26442820e-01 1.21128606e-03 4.11711559e-02 1.82322867e-03 1.28447786e-01 3.00430115e-02 1.26738101e-01 -2.57769297e-03 -4.51205298e-03 -4.75242268e-03 1.07923774e-02 7.37444237e-02 8.31221715e-02 4.45540110e-03 -1.38036638e-01 2.95809144e-03 -3.98087967e-03 1.69988256e-02 1.62026703e-01 -1.52472943e-01 1.02045648e-01 1.81557164e-01 1.75355724e-03 -8.42886698e-03 1.66934002e-02 1.63271785e-01 -6.97663128e-02 1.73913781e-02 1.26446569e-02 -8.43565632e-03 -1.43901125e-01 4.84564826e-02 8.13392980e-04 -5.22421533e-03 6.19102595e-03 -1.20564088e-01 5.05703278e-02 -9.44180638e-02 1.53434664e-01 -8.62880424e-03 -4.59798519e-03 1.40226424e-01 1.46089643e-02 -1.78696262e-03 1.96722709e-02 -3.44042890e-02 -1.29866078e-01 1.54100833e-02 -1.58281565e-01 -2.78724618e-02 6.88132420e-02 1.05017677e-01 -5.80246234e-03 8.71500745e-02 -2.32789852e-03 -5.66401193e-03 5.79292253e-02 3.23361065e-03 -3.43932994e-02 -2.09032342e-01 4.28284407e-02 1.26484642e-02 -8.04151688e-03] [-4.63566408e-02 -1.35056570e-01 -2.70683300e-02 1.68684199e-01 2.06615310e-02 -1.32134005e-01 -1.79449216e-01 1.15533397e-02 -6.60665287e-03 -7.60892918e-03 1.90384567e-01 -6.32371288e-03 -8.03826191e-03 1.80704772e-01 1.25777796e-01 1.49095103e-01 5.67457872e-04 6.54897541e-02 -1.23780273e-01 1.11624431e-02 -2.98897550e-02 1.42412037e-01 1.46616101e-01 6.56971484e-02 4.40555811e-03 -5.79112070e-03 -4.44299483e-04 -2.55263643e-04 8.28129277e-02 -2.59799454e-02 1.04022115e-01 -6.37567267e-02 1.75972823e-02 -2.18745191e-02 -6.54833689e-02 -4.27041799e-02 1.31640574e-02 2.15770036e-01 -1.23887779e-02 -2.22328082e-02 9.31000635e-02 -1.00366268e-02 1.71102711e-03 -3.47613776e-03 1.38921380e-01 5.48905358e-02 7.54443405e-04 -1.11718150e-03 1.35900630e-02 -5.63650904e-03 -3.15910205e-04 2.33925018e-03 -1.01108048e-02 1.81192867e-02 7.31202168e-03 -9.88614396e-04 1.65065616e-01 1.33139853e-04 -1.13569871e-02 9.19816270e-03 4.94351983e-03 1.74656793e-01 1.51033714e-01 -4.05253656e-03 6.93585575e-02 1.39586478e-01 9.03597393e-04 1.80029467e-01 7.32826628e-03 1.02040574e-01 1.16398118e-01 1.15276165e-01 -8.18381668e-04 1.95837244e-02 9.09843016e-03 1.38245840e-02 2.74280366e-02 1.75366163e-01 4.89285169e-03 1.61976382e-01 -1.64095443e-02 -3.52985365e-03 2.17098976e-03 1.89204533e-02 1.06349044e-01 -1.04806013e-01 -3.76111339e-03 2.40596896e-03 3.78943840e-03 -1.06537677e-01 -1.55241042e-01 -4.05262075e-02 1.75481522e-03 4.70805867e-03 -7.00787688e-03 -1.20114818e-01 1.62511125e-01 1.01595886e-01 5.31485857e-05 1.23516649e-01 -1.77064061e-01 -1.85474586e-02 -5.63652739e-02 1.65843546e-01 3.24293692e-03 -1.25185465e-02 1.93171814e-01 -2.90168040e-02 -1.81333208e-03 9.09445360e-02 9.50939208e-02 1.07391857e-01 2.53757741e-03 -1.95228294e-01 -2.50120666e-02 1.24316357e-01 -7.80023187e-02 -4.43263166e-03 1.88806340e-01 2.82653552e-02 -3.77589324e-03 -1.71107337e-01 3.85304773e-03 -2.47887503e-02 2.65653282e-02 -3.17850448e-02 3.82312131e-03 -2.97986181e-03] Cos Similarity tf.Tensor(0.11875282, shape=(), dtype=float32) (128,) (128,) [ 1.60635784e-01 1.44286677e-01 9.73823890e-02 2.18355834e-01 -1.45317055e-02 7.13636428e-02 -8.19843858e-02 -2.19887093e-01 -3.20291123e-03 -2.45508645e-03 2.14101821e-01 -7.75788492e-03 1.64434668e-02 -8.10928866e-02 4.61836755e-02 1.83675408e-01 1.88818993e-03 1.27397537e-01 -8.96052225e-04 -5.07388972e-02 7.70634040e-02 8.14614892e-02 1.63492054e-01 1.48111098e-02 6.21487052e-05 -2.85176269e-04 1.30392596e-01 -3.35478759e-03 -7.21335225e-03 6.93878159e-02 -1.90062478e-01 -7.02780783e-02 -9.40163992e-03 1.27804454e-03 1.14892289e-01 -8.41340143e-03 1.39766501e-03 5.59098832e-02 -5.97834936e-04 -1.22295402e-01 -1.90215483e-01 -4.79243975e-03 -1.05237414e-03 3.96315102e-03 8.47870409e-02 -2.14402914e-01 -1.12563401e-01 1.01733906e-03 1.39315063e-02 3.80979688e-03 6.31068088e-03 -1.43495889e-03 -1.55031625e-02 3.20046092e-03 -2.18472015e-02 -1.06708677e-02 -1.19984850e-01 3.47481831e-03 1.43527323e-02 -1.08546121e-02 8.50186944e-02 -2.04339549e-02 -1.49501085e-01 -9.08661820e-03 -4.73429225e-02 -4.06433903e-02 -2.15723948e-03 1.04510486e-01 -2.12812684e-02 -3.76477428e-02 -1.04463557e-02 9.51035693e-02 2.77437270e-03 -7.61825684e-03 -1.05090328e-02 1.13738459e-02 -7.94853121e-02 -2.49638632e-02 4.00363095e-03 -3.34371701e-02 -1.03503000e-03 4.25235974e-03 -6.62803138e-03 1.40472114e-01 -1.25935432e-02 1.27319053e-01 -4.19349037e-02 -4.16350691e-03 2.75802473e-03 3.17300446e-02 8.80035013e-02 2.06701532e-01 -1.15790812e-03 2.04326119e-03 5.83539670e-03 7.17992783e-02 -2.58609634e-02 -1.64164424e-01 -4.80934512e-03 1.74555615e-01 1.81887105e-01 1.17172055e-01 -2.15565674e-02 1.89294443e-01 -8.04738607e-03 -9.51188337e-03 1.91219985e-01 9.87843238e-03 -5.79322968e-03 7.86839277e-02 -2.35925596e-02 -1.19413525e-01 -1.79538727e-02 1.23257428e-01 3.21585461e-02 -1.78295732e-01 1.98474482e-01 -7.79366761e-04 1.51507273e-01 3.16955229e-05 -3.34383920e-03 5.43409400e-02 1.77620742e-02 1.55687463e-04 -2.33373772e-02 2.71233474e-03 6.37736097e-02 -4.84603411e-03] [ 0.05898123 0.13090341 -0.07529739 0.19443178 -0.01529887 0.1795426 0.18175028 0.12466594 0.00282325 0.00272953 0.1787381 -0.00443859 0.00577177 0.05817312 -0.06804994 0.00834494 -0.00946885 0.03255728 -0.08472215 -0.0674032 -0.10970827 -0.09030435 0.05326008 -0.00835483 0.01161337 0.00722094 0.22252806 -0.02291645 0.00232062 -0.02124786 -0.00627783 0.00503369 0.00280705 -0.02527508 -0.01771601 0.00460228 -0.00601128 -0.081471 0.00359264 -0.13360523 -0.03631457 0.00278044 -0.00358273 -0.0049625 -0.09919248 -0.24721381 0.15170622 -0.00332707 -0.0061733 0.00742748 0.01001303 0.00812747 -0.00153946 0.0038424 -0.00947135 0.01561836 -0.01341116 -0.00883167 0.00285049 -0.02972556 -0.10358887 -0.13257648 -0.15550503 -0.00833569 -0.21257831 -0.1584317 -0.01563289 0.10982293 -0.02442694 -0.20752928 0.05033537 0.01842387 0.00636217 -0.00959838 0.00150906 -0.01108982 -0.0166403 -0.08928984 -0.00597099 0.02127375 -0.01173015 0.02848517 -0.01638576 -0.04953311 0.15233569 0.02815258 0.04264579 0.00777822 -0.01188324 0.14585324 0.20883258 0.12035406 -0.02240717 0.00815808 0.00160816 0.09578267 0.05031857 -0.23408414 -0.0100881 0.11088809 -0.02894 0.10236169 -0.02089043 0.19151364 0.00539612 -0.01446009 0.17656429 0.00652987 -0.01841146 0.15365371 0.13736232 0.04406167 -0.00464213 0.14046775 0.05682033 0.17902192 0.09715685 0.00286281 0.07923841 -0.03808517 0.00138259 0.12556121 0.01094057 0.00271656 -0.02228283 0.00868285 0.11309245 -0.00998709] Cos Similarity tf.Tensor(0.41760632, shape=(), dtype=float32) (128,) (128,) [-7.84351826e-02 9.20789465e-02 -4.65121726e-03 -1.80565622e-02 3.27661471e-03 7.32172397e-04 1.60838619e-01 1.17173694e-01 -3.25799501e-03 -2.66417791e-03 -5.93660064e-02 -1.44894589e-02 -3.64966295e-03 1.72044605e-01 8.31193700e-02 -1.47794774e-02 -1.18553014e-02 -7.48772621e-02 6.65412322e-02 -6.38709441e-02 1.62665144e-01 9.01337620e-03 3.60381044e-02 3.52050480e-03 4.92093759e-03 -5.44582540e-03 6.92966059e-02 -3.76423299e-02 -6.77188188e-02 2.48996262e-02 -2.08793566e-01 8.59919563e-02 -1.17210401e-02 -7.86433928e-03 -5.48212193e-02 -3.13036889e-02 2.91118072e-03 -1.04515545e-01 -9.10527247e-04 -1.54870912e-01 -5.62161617e-02 -8.25069658e-03 -1.47563005e-02 -4.79035685e-03 2.00836271e-01 1.31614953e-01 -1.07174844e-01 1.05786625e-04 4.26252664e-04 1.99746285e-02 3.32680065e-03 6.11063233e-03 3.18775745e-03 2.54117418e-03 -6.78357342e-03 7.60370400e-03 -8.28547478e-02 -2.08270717e-02 -3.04021453e-03 -7.28502870e-03 -1.30971044e-01 -1.60349473e-01 1.92984082e-02 -2.21707728e-02 -1.81567550e-01 1.85367778e-01 -1.54027762e-02 -1.10517070e-02 3.20453336e-03 -7.94857219e-02 -1.26495451e-01 -1.79647774e-01 9.59100947e-03 -3.36174620e-03 3.92639218e-03 1.74789806e-03 1.29775017e-01 5.67171536e-02 3.90000001e-04 -1.90363191e-02 -1.63748246e-02 -6.19398430e-03 4.82080923e-03 -1.07191786e-01 -1.52301103e-01 1.03718773e-01 -4.46516499e-02 4.94384614e-04 -1.91397946e-02 1.83415294e-01 9.36806649e-02 1.98391795e-01 -8.57891422e-03 1.45933367e-02 7.13026384e-03 1.83622941e-01 1.76946446e-01 -1.02401644e-01 -1.74447801e-02 -3.60326059e-02 1.41858190e-01 -1.17488950e-01 -5.92142493e-02 1.24807477e-01 -7.36807007e-03 -1.52827078e-03 1.62066668e-01 -2.24015210e-03 -2.85521597e-02 -1.44640520e-01 -1.00324852e-02 -1.24173369e-02 -1.09645277e-02 1.64808095e-01 4.20556702e-02 6.41975924e-02 2.51745701e-01 -4.03274968e-03 2.20317349e-01 -1.19753676e-02 1.62380689e-03 7.87039548e-02 9.67771746e-03 -3.52789462e-02 -1.73278540e-01 3.43559384e-02 3.35621424e-02 -1.82045661e-02] [-0.05182046 0.12113155 0.07057206 0.17633356 0.00385194 -0.00154634 0.06331126 0.15547259 -0.00347392 -0.0126409 0.2370853 -0.01728359 -0.03026887 0.13780202 0.07577583 0.13200483 -0.00710777 -0.09613994 -0.00228939 -0.14614557 0.09211101 0.08977544 -0.00929502 0.07231468 -0.03324756 0.0017217 -0.10398143 -0.0059094 -0.05908905 -0.00670929 -0.06768596 0.03155258 -0.00794834 -0.00105878 -0.18733631 -0.03780445 -0.0174108 0.10353583 0.00060193 -0.19854604 0.1850476 -0.00872501 -0.01571383 -0.00217639 0.26795194 -0.11604421 -0.06264592 -0.00222788 0.00391727 0.01478559 0.00221064 0.00339991 -0.00346018 0.00262476 -0.0127211 0.00590359 -0.09097042 -0.01622472 0.00112694 -0.01136524 -0.15030572 -0.12410254 -0.02250804 -0.02912653 -0.139279 0.22383292 -0.01300739 -0.07900315 0.00211278 -0.08036735 -0.22740269 -0.20022205 0.00879782 0.00205083 -0.02084575 -0.00082412 0.1795207 -0.00059389 0.00808887 -0.00180776 -0.01428875 -0.00357427 0.00494385 0.06603186 0.01461883 -0.04235961 -0.18982705 0.00258601 -0.0210305 0.0324903 0.02840432 -0.10126636 -0.01456888 0.0177661 0.00705279 -0.02702352 0.10847224 0.11639304 -0.00828091 -0.05931577 -0.01993412 -0.13034491 -0.03105455 0.01344093 -0.00898098 -0.00773746 -0.13142045 0.00835624 -0.03719898 0.17232078 -0.05273361 0.06678237 -0.00706359 0.14412193 0.03750933 -0.17602521 0.20238212 -0.01151928 0.0807294 -0.01991726 0.00415367 -0.06890975 0.00702173 -0.00792084 -0.03402501 0.05120967 -0.09478238 -0.0123465 ] Cos Similarity tf.Tensor(0.41966307, shape=(), dtype=float32) (128,) (128,) [ 1.74000844e-01 1.00897595e-01 6.83601275e-02 1.28832459e-01 -1.72899701e-02 -7.24156806e-03 1.14728048e-01 8.70880634e-02 2.84087425e-03 -6.81043090e-03 -1.37065977e-01 -2.01739911e-02 -1.81049411e-03 -1.24567293e-01 -2.21222490e-02 1.28709301e-01 -4.57824720e-03 7.58996904e-02 1.74835429e-01 2.58340631e-02 6.84718043e-02 -1.65515184e-01 -1.56338960e-01 -1.75145432e-01 -9.28361621e-03 -1.46652653e-03 -1.15426751e-02 -1.48722771e-04 1.49482954e-02 -1.87847927e-01 -1.83929682e-01 1.43005833e-01 -3.42169241e-03 -5.45662409e-03 4.21640128e-02 5.34349168e-03 -7.08517898e-03 -1.40811965e-01 2.14177999e-03 -9.12381411e-02 8.44446868e-02 2.66782776e-03 -9.26398020e-03 5.94821852e-03 1.84558764e-01 1.50137976e-01 -1.41837066e-02 5.18666161e-03 6.04253588e-03 1.34991761e-02 6.22969447e-03 -3.13392920e-05 -1.66930147e-02 6.74927561e-03 -3.80298425e-03 9.22968704e-03 -3.71024422e-02 4.16270178e-03 1.26451167e-04 -1.12774391e-02 1.34902075e-01 4.42232601e-02 1.67378917e-01 -1.57119483e-02 -8.20039064e-02 -1.61077052e-01 -4.17789211e-03 8.79958123e-02 -2.28559342e-03 1.13265850e-01 -1.58006415e-01 5.89359924e-02 -4.56348062e-03 4.32589976e-03 -1.65235903e-02 7.14658387e-03 1.90589383e-01 8.37406218e-02 5.81368851e-03 1.89414844e-01 -8.55511427e-03 -3.12541379e-03 9.76356678e-03 -2.37813927e-02 1.47213414e-01 7.16060102e-02 6.07939400e-02 5.55372192e-03 -8.52429774e-03 2.79419706e-03 1.34032026e-01 -4.49653231e-02 -2.81415367e-03 7.35208765e-03 3.55519936e-04 7.95736387e-02 4.01274711e-02 -1.51225969e-01 -1.31027366e-03 -1.08092926e-01 1.87580764e-01 -7.38903806e-02 1.39639392e-01 9.41831023e-02 -6.58535073e-03 4.80277371e-03 1.88220441e-01 -7.71646854e-04 -7.92132597e-03 -1.27902012e-02 -8.65989476e-02 -1.58359960e-01 3.44297412e-04 -4.11187336e-02 6.86927885e-03 2.03088611e-01 1.34156356e-02 -2.78838016e-02 1.91447988e-01 -2.69419011e-02 4.89539467e-03 -9.71193686e-02 4.04710229e-03 -1.72047224e-02 -1.36929899e-01 3.61275226e-02 -5.18140458e-02 -7.40736199e-04] [-8.11526179e-03 1.67080089e-01 1.05294593e-01 -6.52886629e-02 -1.54417790e-02 -1.37271583e-01 1.57560766e-01 -4.01885286e-02 9.12536681e-03 4.44596959e-03 -1.39766663e-01 2.47889897e-03 1.69304144e-02 5.83799407e-02 -8.07950273e-02 1.79153875e-01 2.29346892e-03 1.61289662e-01 1.86415568e-01 -6.13520853e-02 -6.98553100e-02 -1.44530639e-01 -1.69378862e-01 -1.66012406e-01 5.77300321e-03 -4.19510296e-04 -5.94239011e-02 7.82561582e-03 9.22612473e-02 -1.34426057e-01 -4.83518764e-02 -9.64206308e-02 -9.50902887e-03 4.87425597e-03 -1.09007306e-01 -7.61717837e-03 5.31701604e-03 9.04333293e-02 -2.56453324e-02 -2.93681044e-02 -6.20676614e-02 -4.64665180e-04 -2.12780084e-03 -1.14559720e-03 1.38766959e-01 1.66486368e-01 -1.28612399e-01 2.63477284e-02 1.90185495e-02 1.72819179e-02 3.70420096e-03 8.08954518e-03 1.05816324e-03 6.56126440e-03 8.85709375e-03 3.21249757e-03 1.44195199e-01 1.54887384e-03 6.23582629e-03 -2.98732519e-03 1.81734204e-01 1.79720998e-01 1.02186397e-01 3.21203563e-03 -1.72515705e-01 -9.65980142e-02 8.52700043e-03 1.26655370e-01 -2.56013405e-03 2.15778258e-02 3.04728630e-03 1.06093988e-01 4.72510047e-03 1.64324734e-02 -3.84738133e-03 1.66225582e-02 1.50806606e-01 1.42112654e-02 -1.60437229e-03 1.77961990e-01 -1.30596273e-02 -1.26015802e-03 1.28440587e-02 -1.12412289e-01 -1.26239687e-01 -1.30267525e-02 1.41274795e-01 4.42064041e-03 -9.82329366e-05 -2.72476720e-03 5.06008565e-02 1.62611514e-01 2.38346425e-03 -5.06737875e-03 1.81680191e-02 1.39697254e-01 1.37387544e-01 -1.17863990e-01 -5.29444776e-04 -1.09167106e-01 1.11259669e-01 7.02321306e-02 1.89931959e-01 1.88404620e-01 -3.83084756e-03 2.03455286e-03 1.22445963e-01 1.60510675e-03 8.43018759e-03 -3.02083455e-02 2.29350384e-02 -4.38436083e-02 -2.10872758e-03 -2.73924358e-02 6.43952265e-02 1.25730246e-01 8.59024972e-02 -1.84240397e-02 -8.15450847e-02 3.03978776e-03 1.16928369e-02 1.70111015e-01 1.07551292e-02 -3.21573988e-02 -1.61217645e-01 -1.96236577e-02 -9.81441066e-02 4.53750882e-03] Cos Similarity tf.Tensor(0.5467318, shape=(), dtype=float32) (128,) (128,) [-0.03252137 -0.00907827 -0.02998633 -0.10872094 -0.01997244 -0.05683741 -0.11281701 -0.06504984 -0.00072258 -0.00435223 -0.10417867 0.00440405 -0.01772225 -0.02530114 -0.01959293 0.0878695 -0.00164295 -0.153821 -0.00454002 -0.07358133 0.1796626 0.10924441 -0.20101474 0.18591827 0.00634283 0.00228019 0.09793951 0.00528063 -0.18551908 0.18294173 -0.1517352 -0.17729956 -0.01075702 -0.00506634 -0.03057308 0.05532849 -0.00512865 -0.20794581 0.00082285 0.10297433 0.12128434 0.0117055 -0.00133874 -0.00031721 0.09356958 -0.12985575 -0.08849493 0.00859523 0.0114908 -0.00052028 0.00913961 0.00581732 -0.01875866 0.0050316 -0.03044008 -0.00091799 -0.11925148 0.01083015 -0.00263017 0.00261215 -0.17366856 -0.03619905 0.04443098 -0.00710029 -0.17334148 -0.12550254 -0.0080925 0.00330067 -0.01591032 -0.06720129 -0.2031826 0.20228039 -0.00268448 0.00434053 0.0028312 -0.00777381 -0.01640097 0.03541053 0.00095351 -0.13770205 0.00183569 0.01335879 0.00545815 0.03082715 0.0435575 0.01876183 -0.01431258 0.00568143 0.00123872 -0.09517417 0.1762904 -0.18403766 0.03331953 0.0051163 0.00428763 -0.17232515 0.15917805 0.02957019 0.00627826 -0.01746009 0.04896517 0.20888937 0.13799372 -0.21877545 -0.00040671 0.01262145 0.07595132 0.02212097 -0.00381834 0.05497745 -0.06473891 -0.0434126 0.00575709 0.09421441 -0.01623302 -0.14270973 -0.02778148 -0.00407254 0.1647258 -0.00134853 0.00258508 -0.05282745 0.02105901 0.00153762 0.16842984 0.03839415 0.04488606 0.00214676] [-0.13724597 -0.07835834 -0.01597506 -0.16967262 0.00687061 -0.01713279 0.02406571 0.06682775 0.00037975 0.01047036 -0.06029338 0.0106478 -0.00931737 -0.0072537 -0.04456405 0.06579264 -0.01387969 -0.11537249 -0.027497 -0.06874744 0.16965242 0.0315462 -0.18669268 0.18475269 0.00773775 0.00638899 0.14060251 -0.00258103 -0.16483217 0.07665347 -0.15281412 -0.14699237 -0.00200669 -0.00304369 0.08310658 0.0524206 0.0025608 -0.22210498 0.00177706 0.1148219 0.12146859 0.00853069 -0.0019878 -0.00383936 0.13503519 -0.0807145 -0.15595086 0.00125963 -0.00978661 0.0050482 0.00580359 0.01326209 -0.00737516 0.00428584 -0.01521079 0.01016691 -0.13742529 0.0027856 -0.01011789 0.00411164 -0.16914938 0.0366015 -0.00655623 0.00375591 -0.1706892 -0.12797797 -0.0069525 0.00436745 -0.01323362 -0.08281348 -0.1597099 0.17509818 0.00446513 0.0050606 0.01217604 -0.00821004 -0.05272143 0.05571486 0.00760039 -0.09156188 -0.01897774 0.00459383 -0.00275006 0.11714796 -0.11337288 0.04996967 -0.05277981 0.01350032 0.00377648 -0.0259108 0.16569284 -0.16826181 0.01321111 0.00970901 0.00607483 -0.17606096 0.10204525 0.10361698 0.01158783 0.00756169 0.12822022 0.17580089 0.14020395 -0.1964596 0.00485174 -0.0002685 0.16180171 0.02922092 -0.0094059 0.10140172 -0.02745947 -0.03147454 0.00777031 0.16155967 -0.01884643 -0.1976286 -0.06237601 0.01054351 0.14304371 0.00309422 0.00054805 -0.03356915 0.00248647 -0.01076194 0.16234149 0.02571611 0.02780889 0.00534058] Cos Similarity tf.Tensor(0.89813495, shape=(), dtype=float32) (128,) (128,) [-1.11751489e-01 -2.19989285e-01 -3.58024351e-02 2.39179004e-02 1.21205579e-02 -1.28076434e-01 4.07330431e-02 1.87483415e-01 3.50473518e-03 -3.98966949e-03 2.36660801e-02 8.01336206e-03 7.85574690e-03 1.13825999e-01 1.31494636e-02 7.09119514e-02 -3.26947914e-03 2.03034848e-01 -1.50218494e-02 -3.93161811e-02 7.40195885e-02 -1.81207269e-01 -3.09266113e-02 -8.50643069e-02 1.93949807e-02 3.80873517e-03 -2.43474729e-02 -1.30142765e-02 -1.36852890e-01 -1.61761437e-02 1.72381535e-01 8.28607529e-02 -7.63095496e-03 -6.21049032e-02 -1.93360254e-01 -5.49069978e-02 7.35020312e-03 1.82352960e-02 -1.34023763e-02 1.07121751e-01 9.20251533e-02 -3.54552642e-04 -1.21832266e-02 -1.69146210e-02 2.27633819e-01 1.51295066e-01 1.58032440e-02 -5.47360629e-03 1.19632983e-03 8.63438006e-03 3.15518840e-03 1.46462386e-02 -1.36406347e-02 5.92866866e-03 -1.20522957e-02 1.47076999e-03 7.44662434e-02 -4.92527476e-03 -4.71514324e-03 1.03340263e-03 -4.85313311e-02 -6.37498274e-02 3.85468565e-02 -1.45396106e-02 7.37587288e-02 2.03467041e-01 -8.16822518e-03 -1.06465509e-02 7.46508315e-03 -1.25286832e-01 1.49150565e-01 -1.72211275e-01 7.33981561e-03 6.53160876e-03 -4.13349178e-03 -1.10511156e-02 1.26108393e-01 1.96392268e-01 -1.75299752e-03 1.68855116e-01 -3.01903766e-02 -5.32011548e-03 5.70084853e-03 -5.32295592e-02 -7.60507137e-02 -1.58376902e-01 1.13753729e-01 2.13127816e-03 -1.42372744e-02 1.93661168e-01 -6.56955456e-03 1.98650971e-01 -2.20889784e-02 6.13033772e-03 9.11799166e-03 -1.60591751e-02 1.14099436e-01 3.96164916e-02 -1.58018842e-02 -1.56968430e-01 -1.23006985e-01 -4.39710394e-02 -1.88678175e-01 -1.61191761e-01 -4.26009903e-03 -5.01632364e-03 -1.03183135e-01 1.06049413e-02 -1.21008838e-02 -7.00710788e-02 -1.33534849e-01 -1.39305085e-01 -1.67436395e-02 1.17570668e-01 2.67527178e-02 2.03729011e-02 -1.04688637e-01 5.26242796e-03 8.69111568e-02 7.46585801e-03 2.17977329e-03 1.70306981e-01 -1.12586673e-02 -2.91828588e-02 -7.39335194e-02 1.44825332e-04 -7.16248620e-03 3.88304424e-03] [-4.47733104e-02 -2.11020961e-01 -6.09211326e-02 2.84636505e-02 2.66053574e-03 -1.17049798e-01 1.03217438e-01 2.17086956e-01 1.85334659e-03 -1.09371198e-02 1.32816806e-02 1.55403316e-02 6.31356379e-03 1.39835268e-01 1.71040613e-02 -9.68871452e-03 -5.49446698e-03 1.42104387e-01 -5.47201075e-02 -7.25765675e-02 4.75295670e-02 -7.22269937e-02 -1.06770247e-01 -9.70836952e-02 -4.09882423e-03 1.06483689e-02 -1.73772529e-01 -1.60563495e-02 -2.03982964e-01 -1.92436755e-01 1.57413915e-01 1.33800939e-01 -6.68518944e-03 -4.87232283e-02 -7.94643760e-02 -5.22611402e-02 -1.31354982e-03 9.91394594e-02 -6.85245730e-03 5.01630679e-02 1.48481980e-01 5.57838194e-03 -1.17677532e-03 -2.57598814e-02 1.91463634e-01 1.07504062e-01 1.69049688e-02 -3.71856778e-03 -3.31395795e-03 7.77636236e-03 9.00178496e-03 1.45230060e-02 1.58061017e-03 6.67679636e-03 -2.56283414e-02 9.28595290e-03 7.55207166e-02 8.22393596e-03 -1.53812515e-02 8.86068796e-04 -9.18929800e-02 -1.16995461e-01 1.36754755e-02 -2.31304877e-02 -8.98386538e-02 1.03971101e-01 -9.31253936e-03 -3.27899754e-02 3.87129345e-04 -1.74371265e-02 1.63645685e-01 -1.98162511e-01 1.63678229e-02 1.06302118e-02 -1.17761828e-02 -3.66484886e-03 1.11893360e-02 1.78719431e-01 -1.89173326e-03 7.42859617e-02 -2.91072708e-02 1.59194903e-03 1.17634260e-03 3.22781727e-02 -1.76720247e-01 -5.86954094e-02 1.06179446e-01 -7.64573997e-05 -1.90585796e-02 1.58092916e-01 -2.84402203e-02 2.16117114e-01 7.05557738e-07 9.43351444e-03 8.97223596e-03 7.12747723e-02 8.89786556e-02 9.48628932e-02 -1.83550734e-02 1.08209355e-02 -8.29865634e-02 -5.30537032e-02 -1.52753651e-01 -3.20005300e-03 -1.32098077e-02 -1.32841533e-02 -1.10034913e-01 -6.79746037e-03 -1.89241432e-02 2.92652231e-02 -8.79121646e-02 -1.73796907e-01 -2.60474868e-02 2.31343165e-01 2.83627678e-02 -2.05450639e-01 -7.65617937e-02 1.57248683e-03 2.06572756e-01 1.91359897e-03 -4.65056207e-03 1.22899152e-01 1.68585908e-02 -2.11617611e-02 -8.30897987e-02 2.10583452e-02 -3.99612002e-02 2.03863112e-03] Cos Similarity tf.Tensor(0.79636526, shape=(), dtype=float32) (128,) (128,) [-0.09832386 -0.18042319 0.06660745 0.16950357 0.04773058 -0.10480494 0.10803142 0.2026519 0.02420961 0.03318534 0.17241396 0.02714844 0.05233154 0.09783421 -0.03367673 -0.20280328 0.00178661 0.13008611 -0.0595936 -0.09272072 0.02839768 0.03104358 0.00039399 0.11119328 0.04694708 0.03755075 -0.06507013 -0.0047642 -0.0144199 0.10565802 0.10997156 0.05858069 -0.00930157 0.01612646 0.04699495 0.01198262 0.01982416 0.19327092 0.04685825 -0.00947904 0.04341342 0.01944849 0.01534736 -0.00749161 0.19818428 -0.10839898 0.00552697 -0.0034711 0.02347535 0.02123791 0.01825195 0.01696313 0.06498489 0.01552182 0.04011866 0.03189118 0.10404116 -0.05293192 -0.02159292 0.03533907 -0.2264513 -0.01190599 0.03071573 0.0442376 0.09159897 0.09854103 0.01101736 0.19787906 0.03058232 0.2149489 0.19055371 -0.24799287 0.01804671 0.02452044 0.01793512 0.0017059 0.09176588 -0.0482307 0.00151359 -0.06476438 -0.02558579 -0.00902184 0.00359499 0.14153664 -0.06939927 0.07745699 0.08655462 0.01747229 -0.0056192 0.1465026 -0.1347825 -0.02875515 0.01404029 0.05408463 0.02448363 0.02931092 -0.08025125 -0.16007712 0.01227923 0.17353402 -0.01995254 -0.11058979 -0.00908406 -0.06358515 0.01910926 -0.04281489 0.00352938 -0.00733577 0.02632173 -0.16540687 0.01206781 -0.05885771 0.01366142 -0.2166695 -0.06314535 -0.11999968 0.11133306 0.02372272 -0.11098889 0.06582442 -0.00218618 0.07278255 0.01255769 -0.00752005 0.0126087 -0.00377398 -0.04857584 -0.00177953] [-0.05918268 0.18814908 0.05914641 -0.10605476 -0.00882414 -0.04226362 0.03844428 0.07434301 0.00969306 -0.0084469 -0.19594999 -0.02487213 0.0011257 0.06258384 0.08609273 -0.03686697 -0.00246269 0.13481344 0.14404805 0.04881579 -0.07983589 -0.03848379 0.07987452 -0.0866617 -0.02142877 -0.00598025 -0.04983292 -0.01980632 0.07228372 0.09989466 -0.12550932 -0.04928674 -0.00255965 -0.00729661 0.01933901 -0.00915835 -0.00364528 0.11172932 0.00194787 -0.06054911 0.13656281 -0.00429974 -0.00306225 -0.01171744 0.09429408 0.1563295 0.01938323 0.00223043 0.00154867 0.00749318 0.00442325 -0.00172039 -0.00761989 0.00767465 -0.00571979 0.00329823 0.05647466 0.00447962 -0.00431187 -0.00560805 0.05328303 -0.1656792 0.17411062 -0.00271305 -0.11046007 -0.12841311 -0.0061198 0.18112047 -0.00588027 -0.17703696 -0.10730062 -0.12702383 0.00096077 0.01218726 -0.01262491 0.00893298 0.11743423 -0.01807709 0.00043383 0.15784991 -0.00882485 -0.01062816 0.01682211 0.09085055 -0.20919517 0.10776752 0.15433833 0.00513092 -0.00887633 0.1364409 0.11582396 -0.15007225 -0.00596728 0.0021873 -0.00395039 0.22777246 0.01480708 -0.17722966 -0.0074777 0.10946452 -0.05160184 -0.18245035 0.19784167 0.00143219 -0.01824893 0.00402166 0.17672992 0.00717445 -0.00811225 -0.10239677 0.18071957 0.1431334 0.00174224 0.0836968 0.03216203 0.13075757 0.0615411 -0.0091467 0.09556932 -0.01634557 0.00955973 -0.02913913 0.00853676 -0.00978863 -0.200088 -0.00790449 -0.06499259 -0.00629922] Cos Similarity tf.Tensor(0.060667165, shape=(), dtype=float32) (128,) (128,) [ 1.66363791e-01 9.05578807e-02 1.35326967e-01 6.00479729e-02 6.56698411e-03 -6.35527521e-02 -2.00292133e-02 2.40827072e-02 2.54475642e-02 8.31721060e-04 1.30915716e-01 2.05219295e-02 3.41080613e-02 1.35788620e-01 1.44764125e-01 -1.40275925e-01 1.87049601e-02 1.37426853e-01 -3.61583158e-02 -1.18144237e-01 1.14745088e-01 -1.02524377e-01 1.84312925e-01 -5.77001758e-02 2.69119870e-02 5.62088797e-03 1.85251459e-01 2.04595812e-02 -7.01934844e-02 -6.23708628e-02 -3.29564214e-02 7.11092129e-02 -2.08944976e-02 2.93494482e-02 9.86004099e-02 2.93774996e-02 7.76228448e-03 -1.93014592e-02 -1.34309940e-02 1.69042632e-01 -1.99091155e-02 -1.28230639e-02 -6.25172514e-04 -5.90090919e-03 -6.99117631e-02 2.36543939e-02 1.27339825e-01 3.74544822e-02 2.11715456e-02 9.05226450e-03 -1.10735130e-02 9.48168337e-03 2.88241804e-02 1.22443167e-02 8.28001834e-03 2.23665964e-02 2.10554108e-01 5.20255962e-05 1.44642936e-02 6.16987422e-03 2.01823637e-02 3.08800787e-02 -8.83093774e-02 -1.66052822e-02 -1.95061341e-01 8.13023672e-02 1.32338563e-03 2.08709702e-01 2.44344641e-02 -7.05710128e-02 5.12053333e-02 -1.91257745e-01 2.90300325e-03 1.34698991e-02 1.05888620e-02 2.90690698e-02 3.78397759e-03 -1.74718961e-01 8.06586072e-03 -1.24829747e-01 6.58873795e-03 -2.29372596e-03 7.89890811e-03 1.12679049e-01 -2.05312580e-01 -1.97438449e-01 -1.15729958e-01 1.15220742e-02 -5.93288161e-04 1.01174936e-01 -1.96634799e-01 6.45106658e-02 7.43265962e-03 1.77879110e-02 1.48983831e-02 -8.72133896e-02 1.48772597e-01 -4.83945943e-02 7.11540645e-03 -1.90045819e-01 -1.49730995e-05 2.58259121e-02 1.17145710e-01 5.89344464e-02 -2.53049308e-04 3.62448604e-03 1.76647291e-01 1.59298982e-02 3.06085199e-02 -5.39588481e-02 1.71402708e-01 1.63944066e-01 2.63785804e-03 2.23802645e-02 -2.23275777e-02 -4.42522950e-02 1.59552023e-01 2.72504380e-03 6.87553734e-02 2.71446109e-02 -2.60432307e-02 1.11437261e-01 -8.09744932e-04 -8.56736768e-03 9.88298655e-02 2.59388778e-02 -1.22738637e-01 1.96692906e-03] [ 0.16874924 0.12409468 0.10134657 0.0534726 0.00708852 0.02087577 -0.05431644 0.02324515 0.00874502 -0.00998646 -0.12313586 -0.01215082 0.02321666 0.119834 0.11435983 -0.10460143 0.02097557 0.17661211 0.00845115 0.05176247 -0.1026321 0.06159006 0.17297986 0.05161043 0.02930186 -0.02161023 -0.13216695 0.01386113 0.17280719 -0.11350391 0.03006931 -0.18351163 -0.00694641 0.02514344 -0.14850649 0.00926673 -0.01030796 -0.0583597 -0.03755027 0.14404623 0.1640825 -0.00163268 -0.00506483 0.0081735 -0.02417028 0.06379897 -0.0546912 0.03550952 0.02202975 0.01872354 -0.00277776 0.01998732 0.020417 0.01323096 0.01677637 0.01725168 0.1667972 0.000683 0.0217726 0.00552403 0.03609573 -0.06183651 0.00430673 -0.01291547 -0.1386085 0.16500002 -0.00704611 -0.07913486 0.02389004 -0.19150636 -0.11842209 0.04017966 0.01299996 -0.00334969 0.00319689 0.02587725 0.18393387 -0.13157739 0.00139561 0.07820994 0.00453143 -0.00135383 0.01130483 -0.17590094 -0.14167134 -0.11335319 -0.13000967 0.00321896 0.00163596 0.05076361 -0.09733 0.14170972 0.0149342 0.0032817 -0.01693746 -0.1187256 -0.03902098 -0.09272496 0.01311816 0.0015589 0.03362417 -0.13017136 0.17740262 0.12423619 0.00340414 -0.00371035 0.18095711 0.02250258 0.0021969 -0.18212456 0.15695696 0.1484595 0.00586212 -0.14571376 -0.01439142 0.03478054 0.14959098 -0.00585383 -0.12543838 0.02972836 -0.02048513 -0.07362003 -0.00278966 -0.02859955 0.18275036 0.05978648 -0.03671695 0.00143689] Cos Similarity tf.Tensor(0.39257675, shape=(), dtype=float32) (128,) (128,) [-5.6811282e-03 2.0354156e-01 5.1201880e-02 -9.4289474e-02 2.5363993e-03 7.1040466e-02 -4.4116303e-02 1.4719313e-01 -3.7287266e-03 7.1031885e-04 -1.4285198e-01 5.1728361e-03 2.2832104e-03 3.5486121e-02 -1.3713755e-03 -4.0380970e-02 5.1490677e-04 -8.7166857e-03 -1.7358683e-01 -7.1955845e-02 6.1583862e-02 -8.8221088e-02 -1.7670511e-01 5.0479371e-02 1.7313600e-02 7.5506214e-03 -6.8724677e-02 -7.9742027e-03 -2.1187694e-01 1.8919699e-01 -2.2537181e-01 1.9696845e-01 9.6823238e-03 4.7841673e-03 -1.1437296e-01 2.7300535e-02 -1.3752517e-03 1.1250052e-02 -1.7171286e-02 -6.4664364e-02 -6.2447410e-02 -5.7709180e-03 -1.1045310e-03 -1.3740709e-02 1.5276916e-01 -1.4509393e-01 -1.1443913e-02 1.8195121e-02 8.5492544e-03 1.1485542e-02 9.1977008e-03 3.7356670e-04 1.0080307e-02 8.2366019e-03 7.0558353e-03 1.4057690e-02 1.5351136e-01 3.6718473e-03 1.8351225e-02 5.8608484e-03 1.3838248e-01 -1.9037421e-01 6.3896008e-02 -1.0154453e-03 1.5075488e-01 -9.6054442e-02 1.7067218e-03 -1.4643113e-01 -1.1591074e-03 -4.2396449e-02 -2.1094218e-02 1.6870922e-01 -1.6048504e-03 7.6441369e-03 -4.1104923e-03 2.9786957e-02 1.7267955e-02 6.8359666e-02 -2.2092296e-03 9.3615346e-02 1.8755422e-04 -3.3439982e-03 3.6870849e-03 1.7935865e-01 -1.5835854e-01 7.3962957e-02 7.2013766e-02 6.0662939e-03 -4.2847142e-04 -2.7464133e-02 -2.8193582e-02 2.0978005e-01 1.1864750e-02 2.1229560e-02 1.7385292e-03 1.5438175e-01 -4.8671272e-02 -7.9601288e-02 -2.0293146e-02 -1.3959996e-01 2.0227721e-01 3.6999345e-02 -1.9590150e-01 1.7292890e-01 -7.1710041e-03 2.3590717e-03 1.6889496e-01 1.7427544e-04 5.6490954e-03 -7.8613579e-02 4.7057550e-02 -6.5669515e-03 1.2259390e-02 6.2795252e-02 8.7323282e-03 1.2455253e-01 -1.5769289e-01 3.1519178e-03 1.1825999e-01 -9.0660015e-03 2.9278749e-03 1.2005283e-02 8.8069364e-03 -5.1205317e-03 -8.2895741e-02 8.9108475e-02 -2.2685578e-02 3.1646155e-03] [ 0.16758777 0.13464843 0.06518453 -0.11822663 0.0043582 0.11489543 -0.03933403 0.04516343 -0.01149418 -0.00262451 0.13785641 -0.01253696 0.01389817 -0.02570887 0.10085274 0.14056304 0.0146325 0.20282523 -0.13081297 -0.15017104 0.04285181 0.19131304 0.01944377 -0.05000032 0.01713686 -0.00687483 0.06228072 0.01702268 -0.15833569 0.0220074 -0.17069064 0.18834741 0.0011921 0.01746421 -0.11277817 0.00267727 0.01453711 0.06164987 -0.03058772 -0.04174603 -0.03265987 -0.00913986 -0.00319041 -0.0150515 0.05942282 -0.12565015 -0.04875182 0.02663585 0.02235971 0.03066256 0.00293956 0.00732569 0.01946891 0.01622754 0.01001405 0.02042473 0.10624124 0.00355074 -0.00061161 0.0018231 0.19126315 0.14449628 0.18019776 0.00136518 -0.12365405 -0.05258274 0.00815319 -0.00956157 0.01891902 -0.13218874 -0.11409827 0.19700453 0.01529083 0.00474159 -0.00180192 0.02264022 -0.02355539 0.13964958 0.01031133 0.06200374 0.00461124 -0.00602261 0.01975154 0.07436816 0.00935502 0.00412317 0.18204065 0.00468778 -0.00517631 -0.05871944 0.08023199 -0.04723381 0.00859597 0.01833811 0.01264697 -0.0146673 -0.03417735 -0.14658673 0.00304243 0.13646443 0.18330024 -0.09078515 -0.05952236 0.17813426 -0.00658824 0.02575655 0.20053242 0.01293568 0.02269618 -0.0338273 -0.2000799 -0.01295325 0.02380168 -0.07267341 0.06016262 0.13281037 0.086738 -0.00307508 0.13685533 0.00205919 -0.01162954 0.18048601 0.00928831 -0.00411466 -0.19354628 0.00279596 -0.11969846 0.00948548] Cos Similarity tf.Tensor(0.41955784, shape=(), dtype=float32) (128,) (128,) [ 7.28609636e-02 1.30289882e-01 -3.73552926e-02 1.66433141e-01 -7.69967213e-03 5.20725362e-02 1.48087293e-01 -1.37464821e-01 3.59334447e-03 -1.04799746e-02 9.79221985e-02 -2.12069205e-03 1.04607213e-02 9.43674967e-02 -1.08948145e-02 -4.65412997e-02 -1.28445029e-03 3.95658724e-02 -5.39339073e-02 -6.18691929e-03 2.18359739e-01 -1.25266820e-01 1.01065606e-01 2.15227138e-02 -8.80583376e-03 -1.28278043e-02 9.77309942e-02 -1.62140955e-03 1.81637239e-02 1.84458733e-01 -1.94856256e-01 1.31955892e-01 -1.14119211e-02 1.23298289e-02 1.11916654e-01 1.21630048e-02 -1.24881612e-02 -9.55248158e-03 -1.38760572e-02 1.00997150e-01 -2.18611941e-01 -4.18637134e-03 -5.11280447e-03 4.66381246e-03 -1.67570800e-01 -1.73360839e-01 5.12078218e-02 4.99901688e-03 1.54867871e-02 2.52964115e-03 1.09822098e-02 4.95307101e-03 -1.23699498e-03 4.97264042e-03 2.04263342e-04 2.94092135e-03 1.23928793e-01 -4.75088693e-03 1.09169073e-02 -2.07439624e-03 1.80631533e-01 -3.54662389e-02 9.86455306e-02 -6.49367645e-03 2.12162778e-01 2.72202529e-02 7.28291646e-03 -1.51393354e-01 -2.04035863e-02 -2.40115798e-03 -9.11763534e-02 1.32229269e-01 1.73304186e-04 6.10960601e-03 -1.79694407e-02 1.99783929e-02 4.35428508e-02 4.59212326e-02 7.62226945e-03 2.19432801e-01 -1.08341791e-03 1.68363075e-03 -4.50562191e-04 -1.48774758e-01 2.44101547e-02 -6.37506023e-02 -2.10710391e-01 4.84402850e-03 3.79503309e-03 -6.04745112e-02 -2.27011189e-01 8.34605023e-02 -7.32355285e-03 5.07997675e-03 -1.16863172e-03 1.29179060e-01 -1.40232131e-01 -1.60576522e-01 5.88464830e-03 4.64855060e-02 1.09207638e-01 -2.70488355e-02 1.46304563e-01 -2.07481131e-01 -2.74454392e-02 5.05613210e-03 1.45624369e-01 -4.02036868e-03 5.89225499e-04 1.60063617e-02 4.87126270e-03 -4.02591452e-02 4.40451410e-03 2.20322534e-02 -5.73779978e-02 -1.74103394e-01 5.60350828e-02 -9.22559015e-03 -4.97687012e-02 -7.82820955e-03 -1.13481898e-02 -2.95019895e-03 3.81218176e-03 -1.73634458e-02 -1.62748590e-01 -1.42238606e-02 -1.04534924e-02 -1.49850491e-02] [ 9.46687832e-02 1.86450228e-01 2.81514153e-02 -1.47668272e-01 -1.48908664e-02 -4.42464696e-03 1.62800506e-01 -1.42101318e-01 5.05031506e-03 -1.24880867e-02 -3.53841670e-02 2.03134055e-04 3.39081767e-03 8.74368995e-02 -2.20059119e-02 -1.52119119e-02 -2.77961744e-03 8.13657716e-02 -1.18806124e-01 -1.29129902e-01 2.28690594e-01 -1.21216312e-01 1.10311717e-01 -1.69123292e-01 -3.81607516e-03 -1.20961582e-02 1.37815833e-01 -4.10113949e-03 -4.23668809e-02 9.96960700e-02 -2.25249663e-01 1.34064004e-01 -1.18163275e-02 8.84732511e-03 -3.56294215e-02 1.37144485e-02 -1.94332190e-02 5.60784452e-02 -1.44222314e-02 4.93340790e-02 -2.22754344e-01 -3.97709524e-03 -3.02168261e-03 3.01290723e-03 -1.61386341e-01 -1.99154750e-01 -9.41723213e-02 1.19584221e-02 1.71569213e-02 4.42388048e-03 1.19268158e-02 3.48610710e-03 -1.53623894e-03 4.40984126e-03 -8.05632118e-03 -8.89268762e-04 1.03925832e-01 -8.80272652e-04 5.92587749e-03 -1.26554258e-02 1.21903479e-01 -1.32651553e-01 1.71647266e-01 -1.82736330e-02 1.49229705e-01 -5.76526299e-02 2.75754812e-03 -1.62254944e-01 -3.05380151e-02 4.45067771e-02 -9.69667509e-02 9.44714546e-02 3.75220174e-04 6.99509075e-03 -2.48292834e-02 2.04435959e-02 -1.16151646e-01 -4.75120507e-02 3.37827601e-04 1.94596872e-01 -5.78826526e-03 9.85951396e-04 3.55856773e-03 -1.04247734e-01 -1.01213917e-01 -4.55588549e-02 -1.59639493e-01 6.94350479e-03 1.53425464e-03 -1.71009153e-01 -1.74345478e-01 1.17633827e-01 -4.59600845e-03 1.61924511e-02 -5.04187262e-03 9.01926681e-02 -1.56773880e-01 -1.41211912e-01 2.91635003e-03 -3.84468548e-02 1.82911649e-03 -5.88454865e-02 1.14130393e-01 -6.25802623e-03 -2.91811395e-02 7.86884315e-03 1.21455342e-01 -1.64741650e-02 -4.51694801e-03 1.03610888e-01 -3.52541953e-02 -4.98566218e-02 5.13877254e-03 -8.72900188e-02 2.19917614e-02 -3.75680588e-02 -2.11404711e-02 -1.28052300e-02 -2.14721292e-01 -1.07972911e-02 -7.95874558e-03 5.22321165e-02 4.43353411e-03 3.03688599e-03 9.96184051e-02 -5.81786744e-02 4.17012423e-02 -1.88824050e-02] Cos Similarity tf.Tensor(0.7112212, shape=(), dtype=float32) (128,) (128,) [ 0.23953609 0.09285246 0.08412798 0.01204546 -0.01313079 0.14168222 0.16429986 0.09985343 -0.00426795 -0.01010435 0.20659837 0.01190507 -0.00528868 0.01297727 0.10368505 0.11698568 -0.01558848 -0.01966821 -0.02057791 -0.03988565 -0.08804286 -0.16932395 -0.00813093 -0.19324407 0.01515629 0.00846896 -0.12887451 0.01634357 -0.07064646 -0.12924893 -0.18262623 -0.08867284 0.02498208 -0.01078364 -0.05730484 0.03088947 -0.00117697 0.03646829 -0.00492297 -0.03998863 -0.10995951 0.0036753 0.00366665 0.01281671 0.06158985 -0.01963898 -0.0835486 0.01894325 0.00599231 0.01954877 0.00819656 -0.00299561 0.00447309 0.00537088 -0.0230678 0.01565194 -0.04250845 0.00361997 -0.01855691 0.0007418 -0.2089124 -0.09182627 0.1353979 0.00335758 -0.0264386 0.17138715 0.00386403 -0.12630786 -0.00252831 0.08562535 0.10628124 0.0383794 0.00905834 0.00351901 -0.01215434 0.02871043 -0.10733692 -0.08412563 -0.00419508 -0.19612163 0.00246226 -0.00605501 -0.00129714 0.17481448 -0.06827329 0.02328943 0.13737322 0.02428127 0.00053393 -0.20100877 -0.1326628 0.17227297 0.01048028 0.01852514 0.01190864 0.06600736 0.0130408 -0.18106106 -0.01216118 -0.13047607 0.13879953 0.05673406 -0.19983315 -0.0347718 0.00583487 -0.01449999 -0.14729421 0.03685803 0.0023073 0.1130787 0.07830309 0.04277295 -0.00716482 0.09074405 0.0986937 0.10793311 -0.10527147 -0.00345899 -0.11169733 -0.0100387 -0.00496572 -0.15983877 0.00158265 0.02027517 -0.13247441 0.08820298 0.07049952 -0.01236454] [ 1.62359178e-01 4.08970118e-02 8.33599567e-02 -7.76568651e-02 -5.71392197e-03 1.11387618e-01 -6.69258460e-02 -3.04384213e-02 3.82770738e-03 4.96649044e-03 1.44349709e-01 2.00834163e-02 2.57793702e-02 -1.62686326e-03 1.06294557e-01 1.02591157e-01 -3.53234727e-03 -4.45744880e-02 1.15997024e-01 -1.00197429e-02 -8.80864933e-02 1.81671128e-01 -1.12200633e-01 -1.56653002e-01 1.27684539e-02 1.79640986e-02 1.76962718e-01 8.56520236e-03 8.03817213e-02 3.98476049e-02 -1.05143897e-01 1.13653094e-02 2.34115291e-02 3.22674699e-02 -5.25448695e-02 2.80114878e-02 1.15941372e-02 -1.36245843e-02 -2.10138038e-02 -1.98864806e-02 1.08632311e-01 -4.08174517e-03 7.56959291e-03 2.97585409e-03 5.56096733e-02 1.16851427e-01 1.52891492e-02 3.92394746e-03 1.51863061e-02 8.77672900e-03 8.86578485e-03 -6.66811410e-03 5.51908277e-03 1.04416208e-02 1.72994640e-02 1.91400647e-02 1.30900919e-01 4.49815823e-04 -1.86601579e-02 -8.32632370e-03 -1.65551320e-01 -1.84075341e-01 -1.62076145e-01 -2.40429044e-02 1.83692992e-01 1.80015966e-01 4.95192781e-03 -7.95736536e-02 4.90771839e-03 1.25285849e-01 1.40156567e-01 1.25189126e-01 -4.34243004e-04 -1.67034904e-03 1.17912991e-02 5.51839359e-03 -1.53482959e-01 -1.57472864e-01 -9.40717291e-03 -1.33383691e-01 6.54244749e-03 9.58674573e-05 3.27245728e-03 -9.35205165e-03 -1.61008731e-01 9.50323194e-02 1.71515882e-01 1.34971272e-02 1.09398970e-02 -1.82987899e-01 -1.35153130e-01 1.60380512e-01 1.19265895e-02 2.61675511e-02 -2.61165891e-02 -2.94196773e-02 1.37549356e-01 -1.93142056e-01 -5.86390635e-03 1.79725736e-02 1.84579551e-01 -7.77335763e-02 7.86608737e-03 -2.37844773e-02 1.24637168e-02 -7.71607831e-03 1.73283488e-01 2.08909772e-02 1.04650212e-02 -1.55661732e-01 3.69147509e-02 3.48742269e-02 -9.36281867e-03 -1.31351165e-02 7.88509026e-02 1.76335216e-01 -1.25190064e-01 -8.56169499e-03 -1.51641130e-01 1.38345379e-02 -1.96037395e-03 -1.18820125e-03 4.35705483e-03 -3.36029604e-02 1.74961075e-01 5.72392941e-02 9.81911123e-02 -9.49212699e-04] Cos Similarity tf.Tensor(0.41252804, shape=(), dtype=float32) (128,) (128,) [-2.67714798e-01 3.21388873e-03 -6.91743195e-02 -1.24564700e-01 -4.48718527e-03 -9.17291548e-03 -2.12109610e-02 9.34405774e-02 -8.03408679e-04 2.94886879e-03 -1.91781163e-01 1.71520468e-02 1.49178952e-02 1.56871557e-01 1.62354395e-01 -7.38659054e-02 -1.62031706e-02 -1.39403194e-01 -7.51586258e-02 -5.79926521e-02 -2.84011364e-02 1.60360023e-01 -1.30780619e-02 8.78469348e-02 1.48770176e-02 1.23424325e-02 1.72716305e-01 -1.04411654e-02 1.25284761e-01 -2.64776468e-01 -2.46601626e-01 5.77275567e-02 -1.06923776e-02 -1.96468667e-03 -1.69977039e-01 2.62110885e-02 -5.08681312e-03 7.95892552e-02 3.26423626e-03 -1.63481086e-01 1.17626656e-02 -8.98086559e-03 -2.35688185e-05 -1.87846366e-02 -1.47254150e-02 1.13277219e-01 9.12876986e-03 -4.66554519e-03 -5.73133165e-03 1.55634740e-02 7.91440066e-03 2.94588576e-03 2.34948634e-03 2.41287658e-03 -3.61106591e-03 2.81421840e-02 3.00135817e-02 -3.00521217e-02 6.88719423e-03 7.20749516e-03 -6.78713098e-02 -3.21507864e-02 -1.77741244e-01 6.37399545e-03 -5.90031184e-02 8.20396990e-02 -2.08758991e-02 -3.11942603e-02 1.24690952e-02 2.19168589e-01 8.73551071e-02 -1.30356755e-02 3.88413714e-03 1.85090327e-03 -2.85896496e-03 -2.09915312e-03 2.37745885e-02 -3.67856212e-02 -1.18754087e-02 -6.04172125e-02 -2.82984767e-02 7.35452995e-02 -1.67724118e-02 2.04021931e-02 7.70167708e-02 1.42906159e-01 -8.98548812e-02 6.98541757e-03 -1.91733129e-02 -5.83071150e-02 -8.08141194e-03 8.77349079e-02 4.00618697e-03 1.55546870e-02 1.43321026e-02 -1.21350043e-01 1.44465864e-01 -1.96515739e-01 -7.84400385e-03 -3.45196091e-02 -6.66558594e-02 1.03028379e-01 -2.06437185e-01 1.72346719e-02 -1.55633381e-02 -3.71884555e-02 -8.21977854e-02 -6.20598788e-04 7.65049481e-05 9.30496827e-02 -1.74092680e-01 1.43128738e-01 -2.15099361e-02 1.73213053e-02 8.66275877e-02 -2.40488753e-01 8.46278965e-02 1.40688699e-02 -1.51559576e-01 -3.98934493e-03 -8.06012377e-03 6.82238191e-02 7.80909497e-04 -1.05342930e-02 1.22866392e-01 6.89696800e-03 1.46134458e-02 -1.11484583e-02] [-0.2615122 -0.00455317 -0.08946912 -0.12250199 0.00965831 -0.0093488 -0.04105788 0.10539391 -0.00094156 0.00129167 -0.19827694 0.01373898 0.01170976 0.22041453 0.16260915 -0.06073609 -0.00213521 -0.15074648 -0.06579217 -0.05474331 -0.01857607 0.16350847 -0.01204459 0.09353936 0.0191219 0.01506497 0.14438465 -0.00857823 0.13788788 -0.25421432 -0.23510455 0.04404709 -0.01744003 0.00887002 -0.1839476 0.01137911 0.00050795 0.09322655 0.00318695 -0.14680317 -0.0003739 -0.01193091 0.00194834 -0.01619705 0.03020368 0.10814273 0.00454237 -0.00695445 -0.00513178 0.01653277 0.0045867 0.00477957 -0.01409458 0.00227828 -0.01258539 0.02491261 0.0216452 -0.02770321 0.00291049 0.00615442 -0.03489306 -0.03787106 -0.17417082 0.00132265 -0.05031175 0.08625337 -0.01618269 -0.03915503 0.01029834 0.21150188 0.09663477 -0.03189807 0.00372041 0.00176772 0.00072635 -0.00247459 0.01015199 -0.00145852 -0.00876122 -0.09040157 -0.03268294 0.07675489 -0.0152096 0.01829736 0.06394611 0.10444501 -0.01138671 0.00305004 -0.00983624 -0.07844926 -0.00879475 0.08531737 0.00240365 0.01334096 0.0147006 -0.08690044 0.14659497 -0.17702132 -0.009688 -0.03864693 -0.08848766 0.11111387 -0.22130287 0.02316869 -0.01866301 -0.03718106 -0.07361202 -0.00225573 -0.00520392 0.08784919 -0.1604047 0.14691699 -0.02037241 -0.13122426 0.08547344 -0.2303586 0.08727136 0.01352593 -0.14569177 0.00401513 -0.00710284 0.08411641 -0.00804723 -0.00968607 0.11979184 0.01067254 0.02866656 -0.00879287] Cos Similarity tf.Tensor(0.97528577, shape=(), dtype=float32) (128,) (128,) [ 1.37838811e-01 3.92312445e-02 5.28249852e-02 -1.45485565e-01 2.19242200e-02 -1.10662349e-01 -1.96028873e-01 -6.91067055e-02 -1.51085332e-02 9.14692786e-03 -1.31574422e-01 -1.13936495e-02 1.69961378e-02 -9.05511959e-04 5.23931421e-02 -1.14741541e-01 4.75311652e-02 1.12636954e-01 4.24806327e-02 -5.84859481e-05 -1.30112916e-01 1.59453660e-01 4.66675274e-02 -5.40189110e-02 2.54037548e-02 7.31868483e-03 7.59657100e-02 5.69366477e-03 -3.97545323e-02 1.78268984e-01 -1.40924513e-01 1.84927553e-01 4.61322032e-02 1.63773578e-02 -9.35546756e-02 6.51586242e-03 4.34056558e-02 3.14398259e-02 -2.19317339e-02 2.36694086e-02 1.73234001e-01 -2.22733174e-03 7.10384129e-03 -8.63444153e-03 1.26065359e-01 1.87067717e-01 -5.01689389e-02 3.44268628e-03 3.29769216e-02 1.58679448e-02 1.23678390e-02 3.01224471e-04 3.64877693e-02 3.48939002e-02 4.18898351e-02 2.06636656e-02 7.03049526e-02 -2.03512646e-02 3.44446674e-02 -3.89057786e-05 1.75498903e-01 -8.53639618e-02 -4.34684334e-03 1.95940081e-02 1.71652392e-01 -1.16601005e-01 6.06876239e-03 -2.87115294e-02 2.24876273e-02 5.49198426e-02 -1.23701310e-02 1.37521818e-01 -4.64484468e-03 -1.60280596e-02 1.05153359e-02 6.05708249e-02 1.69675335e-01 -3.50167118e-02 -7.19733629e-03 4.32179719e-02 1.78075745e-03 -1.57408733e-02 1.97763946e-02 -8.04857463e-02 4.93060127e-02 1.38847977e-01 1.84412807e-01 1.48695996e-02 1.68264359e-02 1.62229985e-01 1.43770024e-01 -1.36061445e-01 3.58933806e-02 2.84953229e-02 2.81544891e-03 1.92123801e-01 1.00009233e-01 -1.30630523e-01 1.09149748e-02 1.85781077e-01 1.89210191e-01 1.50183827e-01 1.20680220e-01 8.32263380e-02 3.50486152e-02 3.12583372e-02 -4.10290807e-02 3.21452902e-03 3.85068059e-02 -1.34037569e-01 1.22032724e-01 1.54735416e-01 1.29272109e-02 -8.87317657e-02 3.65744159e-02 1.33941546e-01 -1.82966515e-01 4.06574039e-03 -4.54939753e-02 1.60941053e-02 3.32261436e-02 -5.03212735e-02 1.55805722e-02 -6.26074383e-03 1.06936954e-01 6.84658140e-02 -1.05644169e-03 -1.74738038e-02] [ 0.09058414 0.03541371 0.02235135 -0.06149766 0.00173435 -0.10964476 -0.18201067 -0.0953868 -0.01096447 -0.00146393 -0.11376336 0.00136806 0.01915279 -0.06960004 0.10823926 0.07893367 0.03239824 0.05042605 -0.18462014 -0.07077334 0.03439205 0.18298265 -0.15599418 -0.01274103 0.02748265 0.01285002 0.07691262 0.0227676 0.07380629 0.16773963 -0.09843162 0.17163661 0.02314652 0.03087742 0.19568118 0.01277977 0.02257579 0.14856565 -0.02417244 0.02363096 0.16327241 0.0098833 0.0134684 -0.0130225 -0.10684756 -0.14101085 -0.13307633 -0.00406317 0.01901604 -0.02292717 0.01163768 -0.00482692 0.00843103 0.01498308 0.02214643 -0.01263601 0.17471865 0.01295247 0.03387627 0.00132676 0.01019909 0.2141655 0.00953226 0.01364275 -0.00778626 -0.20470443 0.00320528 0.076538 0.00529372 -0.0367644 -0.03977931 0.12142115 0.00192973 0.00520549 -0.00402311 0.03866742 0.19491698 -0.0765736 -0.00246825 -0.08817537 0.01450617 0.00057696 0.00459984 -0.07340939 -0.14539759 0.10918632 0.13198023 0.01867244 0.02181332 -0.14535192 0.08320571 -0.1643771 0.01375856 0.0262534 -0.00744023 -0.17808059 0.01502092 -0.18004206 0.00758925 0.12528676 0.06718992 0.01487347 -0.07301562 0.12383066 -0.00330684 0.02676559 0.11695158 0.00770328 0.03622289 -0.16533795 0.05327626 0.10415958 0.03348948 -0.05013983 -0.00481402 -0.17353341 -0.0623688 -0.00177771 -0.16890746 0.02506894 -0.00633018 -0.00306567 0.04547109 -0.01925752 0.16035074 0.06961337 0.00945703 -0.00701612] Cos Similarity tf.Tensor(0.38884354, shape=(), dtype=float32) (128,) (128,) [ 1.39994875e-01 1.52521089e-01 4.45259959e-02 7.55227953e-02 1.75987072e-02 -4.04784940e-02 -1.82177704e-02 1.32297620e-01 -1.05556445e-02 3.42585589e-03 8.51261839e-02 9.70299647e-04 -7.86739215e-03 6.16013296e-02 1.34963259e-01 1.37614280e-01 3.74444984e-02 1.13610111e-01 -5.03057316e-02 -3.78546007e-02 2.24074423e-02 8.71585757e-02 5.74832819e-02 1.64537504e-02 2.01031007e-02 -1.36354733e-02 5.43793105e-02 8.69776867e-03 -1.81505587e-02 -1.30181178e-01 -1.16913266e-01 1.52978152e-01 -9.37520061e-03 1.20459748e-02 1.75229475e-01 1.51610691e-02 4.69986983e-02 1.72465503e-01 -4.26070578e-02 7.30186328e-02 1.09525986e-01 4.18013940e-03 1.42636336e-03 -7.83885736e-03 1.30398273e-01 -1.19462013e-01 -1.32769793e-02 1.16081676e-02 2.27267258e-02 3.66574489e-02 3.03269853e-03 1.18177449e-02 1.32862187e-03 6.86157495e-03 3.91648710e-02 2.90998183e-02 -1.41321376e-01 -2.21867356e-02 1.48231108e-02 1.06238723e-02 -7.72004053e-02 -1.93003193e-01 -1.82312578e-01 1.68014318e-02 1.22686163e-01 2.81724017e-02 2.64678542e-02 2.98381187e-02 3.89691368e-02 -8.63622278e-02 1.18775211e-01 3.03876419e-02 7.45015161e-04 8.86387657e-03 1.49955079e-02 3.42032313e-02 -7.50419125e-02 1.24511227e-01 -2.65763025e-03 1.62280753e-01 -2.62685157e-02 -9.61350556e-03 1.18204802e-02 1.11408338e-01 -1.48768546e-02 1.94957674e-01 -2.55069546e-02 8.66235234e-03 8.89332965e-03 -9.82828140e-02 -1.46049291e-01 -1.65199146e-01 -5.33714658e-04 3.54659781e-02 2.72372831e-02 2.17895340e-02 2.17418117e-03 2.19922751e-01 1.37524707e-02 8.47746059e-03 1.24651767e-01 1.77825555e-01 1.10512130e-01 -2.00612798e-01 1.05703820e-03 7.61380093e-03 6.23951405e-02 1.43146457e-03 2.24927701e-02 4.71276417e-02 1.91535503e-01 1.04245596e-01 2.54443660e-02 -1.66013405e-01 2.32885568e-03 1.30249932e-01 -1.58780023e-01 1.55414958e-02 -1.60714030e-01 3.63843217e-02 1.49077809e-04 1.82656661e-01 1.18267601e-02 2.03986801e-02 -1.87536433e-01 1.90373231e-02 -5.71884438e-02 -3.10896412e-02] [ 2.15543628e-01 -1.28496975e-01 9.42821279e-02 1.14211529e-01 1.27446698e-02 -6.36592228e-03 1.30791403e-02 7.54370913e-02 -2.72569968e-03 1.54209081e-02 9.72780064e-02 1.47151239e-02 3.28148007e-02 8.39444399e-02 2.42078118e-02 4.67053913e-02 1.60043705e-02 1.49330214e-01 1.27734885e-01 2.04473436e-02 1.00549638e-01 1.75589383e-01 5.15764616e-02 1.46895289e-01 -1.03179750e-03 -7.71577517e-03 6.17038608e-02 8.38553440e-03 -1.91279277e-02 1.88320242e-02 -3.11811897e-03 4.53268550e-02 4.55458164e-02 4.01008837e-02 9.33821946e-02 2.55883336e-02 1.90884862e-02 -5.15749156e-02 -5.96076511e-02 7.94212986e-03 7.65689611e-02 1.93465166e-02 -6.25701761e-03 -8.16759281e-03 -9.74432006e-02 3.24199125e-02 -1.25206307e-01 2.84463577e-02 1.78708229e-02 3.96496654e-02 4.75664577e-03 1.19941998e-02 3.15390006e-02 1.52722178e-02 4.32039015e-02 3.60409804e-02 -1.31480992e-01 -1.58108276e-04 3.04660611e-02 1.76751576e-02 9.20676142e-02 -1.59416571e-01 -8.71149823e-02 -6.70844084e-03 1.86603457e-01 -3.42441648e-02 1.82106905e-02 -5.53918965e-02 4.06556539e-02 3.52912284e-02 1.71081945e-01 1.23619787e-01 3.89883737e-03 2.59364545e-02 -4.37264005e-03 3.45264301e-02 -1.44399265e-02 -2.18325909e-02 -1.78777613e-02 1.66401848e-01 -4.51538013e-03 -2.38485131e-02 1.28265303e-02 -1.66468248e-01 2.57942844e-02 1.98813826e-01 1.06371127e-01 2.72172019e-02 2.28382796e-02 1.21403031e-01 -1.23476319e-01 1.34620562e-01 2.69217957e-02 4.11808304e-02 2.55646091e-02 1.25493050e-01 2.64438577e-02 3.22720706e-02 5.70851984e-03 -1.68780535e-01 2.04098448e-01 5.34340180e-02 2.08730131e-01 -1.83132380e-01 1.70707293e-02 -4.31690039e-03 -1.05138056e-01 5.23522450e-03 2.00979672e-02 2.09736694e-02 1.07154883e-01 1.88495100e-01 2.55513750e-02 -1.52058944e-01 8.02788436e-02 -1.74733594e-01 -9.36524272e-02 -2.20897812e-02 1.18868634e-01 4.23639603e-02 -1.97336115e-02 2.15046898e-01 -1.16927074e-02 -1.33778667e-02 -1.83292598e-01 7.58728832e-02 -9.09473598e-02 -1.45030785e-02] Cos Similarity tf.Tensor(0.46119267, shape=(), dtype=float32) (128,) (128,) [-6.26301989e-02 -1.46183953e-01 1.14376284e-01 1.75526530e-01 9.88720730e-03 -4.55325507e-02 -1.09702170e-01 1.71448037e-01 1.26296962e-02 -1.01560196e-02 -1.75706875e-02 1.73952859e-02 1.77814194e-03 1.30014226e-01 6.33545145e-02 1.58829212e-01 -3.39243049e-03 -2.23317277e-02 1.64701551e-01 -3.99845839e-02 -1.82792008e-01 1.05899721e-01 5.38509898e-02 -1.23517163e-01 5.37960138e-03 -1.65837444e-03 1.29892200e-01 -7.94954225e-03 -1.77758113e-01 -6.26766309e-02 1.86191604e-01 -1.80063352e-01 1.30346827e-02 -1.44787155e-05 1.33046523e-01 -3.06800772e-02 1.43931378e-02 7.24727139e-02 -4.10807412e-03 1.01037040e-01 -9.39275175e-02 -9.53410100e-03 -5.32888202e-03 -2.99800443e-03 1.59764439e-01 1.39952779e-01 1.57216787e-01 -1.12128118e-03 -5.80844295e-04 -4.88629797e-03 2.80506164e-03 4.44932375e-03 6.04468491e-03 4.40797489e-03 9.46823135e-03 1.60005614e-02 -1.74864784e-01 -3.03469645e-03 -4.95394086e-03 -9.08052456e-03 4.56466340e-02 -1.70297861e-01 -1.05186693e-01 -1.91182382e-02 -8.30300897e-03 -1.43357972e-02 -6.41629333e-03 -9.95813161e-02 2.57066480e-04 -1.14922516e-01 6.44559562e-02 8.78169984e-02 3.55477864e-03 1.30736828e-02 3.60262184e-03 1.02497470e-02 1.73662320e-01 4.59083216e-03 -1.24715245e-03 -1.08820356e-01 -1.28253018e-02 -3.96877807e-03 -7.69281818e-04 5.24101332e-02 -1.36867374e-01 5.72062619e-02 -1.57595992e-01 3.57167493e-03 -6.91746071e-04 9.14263055e-02 -9.29582119e-02 1.82869062e-01 -2.19898880e-03 1.41026052e-02 -1.37147550e-02 1.76567376e-01 1.37615964e-01 -1.87314227e-02 -1.50322849e-02 1.84404060e-01 -1.23849563e-01 -1.69392139e-01 9.62913632e-02 6.62139803e-02 1.46551826e-03 9.36992560e-03 8.26912746e-02 -9.53358691e-03 -8.18066485e-03 -5.08087799e-02 -1.08297028e-01 4.15721014e-02 -1.83327124e-02 8.33228976e-03 9.70313326e-02 5.13464697e-02 1.41346619e-01 -3.59220803e-03 1.62500799e-01 1.01276645e-02 -4.73833829e-03 -7.16910586e-02 2.47376011e-05 -2.65513547e-02 -1.63525715e-01 -7.94624835e-02 -4.16220259e-03 -7.28834886e-04] [ 5.03482185e-02 -1.83862627e-01 9.39344168e-02 1.86258242e-01 6.23693643e-03 -1.12824716e-01 -5.22037372e-02 1.32852405e-01 1.30148688e-02 -5.79211768e-03 1.36294022e-01 -1.16062828e-03 -1.32332481e-02 1.55819193e-01 3.36040556e-02 1.44625366e-01 -2.19676085e-03 9.89369079e-02 7.46101290e-02 -5.29666916e-02 -1.72788456e-01 -4.49477434e-02 8.55187848e-02 4.69883457e-02 -5.49184112e-03 -3.00146436e-04 3.97182480e-02 6.09230017e-03 -1.76879570e-01 -7.50487000e-02 1.94546863e-01 -1.59665495e-01 1.37032093e-02 -4.77515114e-03 1.75847188e-01 -2.62358654e-02 2.55051604e-03 1.53232008e-01 -9.16807447e-03 1.07744850e-01 -1.21018030e-01 -7.03488523e-03 -2.53427017e-04 -3.24486103e-03 1.90194577e-01 1.75197110e-01 2.39445996e-02 9.89179313e-03 3.56894569e-03 6.63931540e-04 1.24421058e-04 3.90860997e-03 8.15799646e-03 1.25079742e-03 5.34464652e-03 5.33579336e-03 -1.77873150e-01 -3.51264817e-03 -5.60924935e-04 -2.12939060e-03 -2.39817402e-03 -1.45757735e-01 -1.45838544e-01 -1.91753462e-03 -1.23765841e-01 7.30529651e-02 6.26069400e-03 -8.76930207e-02 -2.64433539e-03 6.03402331e-02 9.03079137e-02 1.09475680e-01 -4.27094568e-03 1.71291828e-02 3.98943154e-03 4.16518096e-03 1.28021747e-01 -2.36662515e-02 2.01876881e-03 -1.12290151e-01 -1.25199668e-02 -5.27640712e-03 7.53241777e-03 8.76013488e-02 -1.14479989e-01 1.39821768e-01 -1.78880990e-01 -1.32290926e-03 1.51733140e-04 7.35017061e-02 1.14483193e-01 1.20661601e-01 5.59746055e-03 7.79063208e-03 2.76096980e-03 1.36727422e-01 1.38284609e-01 1.41214490e-01 -1.06691411e-02 1.86946288e-01 -1.17135927e-01 -1.46076962e-01 -7.79509023e-02 -1.00274302e-01 2.79681711e-03 9.09376610e-03 4.84084934e-02 -3.84318922e-03 -3.03482811e-04 8.61550048e-02 -1.12078309e-01 1.30359069e-01 -6.03908952e-03 -2.27092560e-02 -1.60487909e-02 1.50494635e-01 1.47409812e-01 -3.59116076e-03 4.20797989e-02 1.56096404e-03 -9.70984530e-03 9.70000178e-02 -3.88417463e-03 -1.61921885e-02 -6.41902760e-02 -5.97094260e-02 -3.10512818e-02 3.29149724e-03] Cos Similarity tf.Tensor(0.7628807, shape=(), dtype=float32) (128,) (128,) [ 1.89995557e-01 -2.03442782e-01 -2.25700792e-02 1.45190060e-01 9.58320685e-03 -1.84819624e-02 1.43315941e-01 9.08293501e-02 1.78577807e-02 1.54806033e-03 1.74198598e-01 3.25978920e-03 2.21793260e-02 5.43911532e-02 1.26340896e-01 3.83890904e-02 -3.65831424e-03 1.79852858e-01 2.12396984e-03 -3.69002633e-02 -1.78143457e-01 -4.75664213e-02 -1.07361428e-01 -2.52565922e-04 2.07019355e-02 1.17320158e-02 1.94314495e-01 2.02189870e-02 1.06055431e-01 -1.57166511e-01 9.12050828e-02 -9.67152044e-03 -1.66371204e-02 -6.97909854e-03 -1.91166505e-01 2.34519853e-03 -1.31989587e-02 1.54416829e-01 -2.04416718e-02 1.56919390e-01 -8.51999298e-02 1.76403467e-02 2.99527193e-03 -2.53871479e-03 -5.05069867e-02 8.60313848e-02 4.96255606e-02 3.11499200e-04 1.03244865e-02 2.18864065e-02 4.20834729e-03 -7.80987495e-04 -1.10748960e-02 8.26870278e-03 -6.84637809e-03 9.49183665e-03 2.14551002e-01 -1.00751629e-03 -1.55983539e-02 -4.86681238e-03 1.58580840e-01 -1.56050727e-01 -4.57751304e-02 9.93478205e-03 2.18333334e-01 1.07068091e-03 8.83064419e-03 1.26690879e-01 7.70598883e-03 3.76799181e-02 5.76417474e-03 -1.55099183e-01 3.56529700e-03 2.41659116e-02 -2.50126980e-03 2.70621181e-02 1.32542223e-01 1.52276903e-01 -8.47325288e-03 3.05572506e-02 -6.54119859e-03 2.84393365e-03 -5.12658106e-03 6.44402653e-02 -2.01137140e-01 7.67913833e-02 2.15675041e-01 1.73069313e-02 3.94305587e-03 -1.02513082e-01 -3.56951840e-02 -2.21317504e-02 -3.98446369e-04 1.42978271e-02 5.33683505e-03 -7.86265582e-02 -9.82131958e-02 -1.25567645e-01 8.14051542e-04 1.15617633e-01 8.11003670e-02 4.96209152e-02 1.36775538e-01 6.91120327e-02 1.81606982e-03 9.64010321e-03 1.74290854e-02 -3.50520364e-03 1.69571117e-02 1.04038700e-01 1.00374617e-01 -2.07380056e-02 1.53791305e-04 1.28845990e-01 5.18944375e-02 8.69402513e-02 -1.32194981e-01 -4.13906062e-04 -1.53354928e-01 -1.88789312e-02 1.06301717e-02 -1.80697128e-01 2.89136753e-03 -1.18333455e-02 -1.03454720e-02 -7.05288872e-02 -6.94679245e-02 -2.78720865e-03] [ 1.77741200e-01 -5.86004071e-02 1.14735160e-02 -1.70575287e-02 -4.18749033e-03 9.56418961e-02 -7.45052323e-02 1.42785102e-01 8.69215559e-03 8.01362190e-03 -2.23149434e-02 -1.31626744e-02 4.60523833e-03 -4.08248156e-02 1.71568304e-01 1.17294006e-02 -8.52577854e-03 2.05352411e-01 1.81596309e-01 -1.66834980e-01 -1.23810373e-01 -1.59784272e-01 -4.38446626e-02 -1.18792169e-01 1.33538581e-02 9.42876097e-03 1.23555429e-01 6.80806674e-03 8.27721041e-03 -1.63540483e-01 -9.45753530e-02 1.06343322e-01 -3.89425363e-03 -2.41804100e-03 -1.29676506e-01 6.48070080e-03 -7.88692478e-03 1.44874416e-02 -2.25370172e-02 1.37775004e-01 9.17745233e-02 5.46023063e-03 3.10589894e-05 -3.03832814e-03 -2.20857430e-02 -2.46052677e-03 -6.96621016e-02 1.20449262e-02 7.00688083e-03 2.15258133e-02 4.73480765e-03 1.00922603e-02 -4.18392848e-03 6.20299205e-03 -5.48793422e-03 8.54013767e-03 1.21915810e-01 -5.55740343e-03 1.46483316e-03 -5.37461892e-04 1.88353807e-01 -1.86414048e-01 -1.90349035e-02 2.50155898e-03 1.18178003e-01 3.94845428e-03 2.40564253e-03 8.53275210e-02 4.27641906e-03 -5.07307909e-02 -4.31996956e-02 -9.59841833e-02 1.09881395e-02 1.49345789e-02 -2.74310983e-03 1.48758767e-02 1.40023887e-01 2.31817123e-02 -1.82098313e-03 -1.15729444e-01 -9.02020838e-03 -4.57904302e-03 1.52585395e-02 -3.49554196e-02 -1.85836017e-01 1.44476220e-01 1.90945432e-01 5.18843159e-03 1.76538737e-03 -5.29331267e-02 1.35915548e-01 5.10427728e-02 -7.28635257e-03 -5.61056240e-03 1.47315953e-02 5.93240410e-02 -1.04842298e-01 -1.29770990e-02 -4.66008391e-03 1.44607753e-01 1.36159239e-02 -9.92721096e-02 1.55386031e-01 1.64336756e-01 -1.37110008e-02 -1.38706027e-03 1.65125415e-01 -5.44875441e-03 7.53618032e-03 -1.92324474e-01 1.69288531e-01 -6.90398514e-02 9.50189680e-03 1.46277651e-01 4.16347161e-02 1.75596356e-01 -1.55546591e-01 -9.82853118e-03 9.23941210e-02 -2.90115899e-03 5.11981687e-03 1.16574615e-01 6.60157064e-03 -1.73597131e-02 -1.79501727e-01 -4.44422103e-02 -1.45964786e-01 -9.67334211e-03] Cos Similarity tf.Tensor(0.55181575, shape=(), dtype=float32) (128,) (128,) [ 0.14957672 -0.04220791 -0.05642899 0.01300338 0.01349472 0.03299842 -0.11923023 0.00586358 -0.00113225 -0.00375557 -0.05989253 0.03141958 0.02815319 0.0699597 0.07681584 0.01808492 0.04167797 0.14570369 -0.00175151 -0.08179551 -0.20135875 -0.13612477 -0.11235829 0.07538747 0.02228903 0.01597427 0.21276154 0.01199229 0.14632215 0.22404529 -0.22451042 -0.06889272 0.02389585 0.02567372 -0.11398029 0.03884036 0.03717133 -0.00094169 -0.02678847 -0.04307596 0.02220623 -0.02788799 0.00581787 0.00197719 -0.04124178 0.18836963 0.11208028 0.01583922 0.02014699 0.02055543 0.01675713 0.00579839 0.01548336 0.01757324 0.03842731 0.02076396 0.11497527 -0.00638708 0.01547717 0.01015014 -0.08138821 0.09798653 -0.13923377 0.02361744 -0.11423033 0.00789747 0.00837033 0.02190878 0.01380968 0.06077616 0.02225314 0.15377651 0.00847144 0.03087547 0.01760639 0.0247636 0.20276915 0.0934034 0.00448766 0.11320549 -0.00720108 -0.00352278 -0.00327907 0.07811261 -0.21498914 0.2103073 0.09886833 0.01816814 -0.00043613 -0.03273349 -0.07975002 0.13814938 0.03756671 0.01608852 -0.01428714 0.15937793 -0.01081507 -0.22372271 0.00614096 -0.04387466 0.11941759 0.04051104 0.16430326 0.03520028 0.01596981 0.0082905 0.22623497 0.01513675 0.03331571 -0.07340544 -0.07037187 -0.1508638 0.01418775 -0.15034612 -0.06057744 -0.00612784 0.07185331 -0.02697806 0.10696388 0.02132698 0.00965005 0.0238227 0.02891762 -0.01150939 -0.18792513 -0.00596847 0.07618691 0.00262846] [-0.16804613 0.21235467 0.04973482 -0.1235359 -0.0057644 -0.11055157 -0.03517445 0.06985805 -0.0032967 0.00370446 -0.2300879 0.00612942 -0.00132836 0.0893563 0.03500534 -0.04923064 0.00799784 -0.07921999 0.16433795 -0.0255948 0.13828291 -0.08386522 -0.14150181 0.00269964 0.02467333 -0.00156816 0.10060041 -0.0096667 0.03640325 0.11653255 -0.20692031 0.19862415 0.02081397 0.01792493 0.12349823 -0.01603071 0.01496436 0.01493413 -0.00770915 -0.06209059 0.01869089 -0.00909242 -0.00510109 -0.00391019 0.19165555 -0.16204344 -0.00748958 0.02118943 0.01889678 0.02133332 0.00843108 0.00405778 -0.00360068 0.01070955 0.01443499 0.01782929 -0.03447018 -0.00865694 0.00401062 -0.00409818 0.12835848 -0.09735429 -0.05937061 0.00849293 -0.17107892 0.16846809 0.00084313 -0.03079951 0.00526602 -0.01833218 0.05686125 -0.10985462 -0.00719238 0.00389379 -0.00129532 0.01287917 0.14555773 -0.02449697 0.00540332 0.03944997 -0.00047721 -0.00969533 0.00269776 -0.12110114 -0.20385578 0.16321404 0.16446187 0.00470963 -0.00974518 0.17366919 -0.12873667 0.13632709 -0.00584373 0.00580003 0.01414798 0.03609298 -0.0243986 -0.20894237 -0.00216729 0.0657492 0.18947582 0.04282907 -0.04057464 0.01013887 -0.02088082 0.01643061 0.20984396 -0.00028564 0.00810368 -0.17852859 0.07473993 -0.17322262 0.01012635 -0.01321476 0.00843137 0.07775129 -0.01375215 0.00592103 -0.04219115 0.00116958 -0.004812 0.13599704 0.00468494 -0.02811372 -0.11229669 0.0643715 0.03213002 -0.00141125] Cos Similarity tf.Tensor(0.31417346, shape=(), dtype=float32) (128,) (128,) [-0.00191889 0.17804636 -0.01244878 -0.05417796 -0.03042635 -0.11368465 -0.13216652 -0.14670049 0.00462039 -0.00214123 -0.0106619 -0.01701983 0.0084436 -0.10757584 0.02285741 0.1177268 0.00132212 0.19178244 0.195264 -0.196287 -0.10799977 0.08464528 0.17251703 0.0787036 -0.00039657 0.00897368 -0.02828177 -0.01015702 0.00557818 0.16686341 -0.21271881 -0.01400407 0.01005563 -0.0224548 0.0919194 -0.02745608 -0.00677204 -0.11681021 0.00072113 -0.1673109 0.0220377 0.00026341 -0.00363143 0.02035727 -0.01479811 -0.00534304 0.19300123 0.01298282 0.01290658 0.01004516 0.00833982 0.00041044 -0.02927106 0.00920247 -0.01060726 -0.00491709 -0.02833944 -0.00121865 0.00573509 -0.0090218 0.08414008 -0.05288643 -0.07526673 -0.01191472 -0.06166453 0.10086369 -0.01331313 0.13348319 -0.0258013 -0.14554133 -0.02518902 0.01462201 0.00269703 -0.00397871 -0.00399939 0.01084844 -0.04235021 0.02805769 -0.00597243 -0.14418958 -0.00348806 0.01296479 0.01071182 -0.16991065 -0.0909023 0.11867888 0.19656892 0.00100283 -0.00535582 0.12164913 0.08442458 0.18578869 0.00946909 0.00081768 0.00521578 -0.01406224 0.04173379 -0.2050058 -0.01471394 -0.09934796 0.12765288 0.01914238 -0.08628818 0.14280318 -0.01101216 -0.01310884 0.10390014 0.01784727 0.00026722 -0.15924333 0.10202017 -0.17138216 -0.00633928 0.03530653 0.05791463 0.1759671 0.16794027 -0.00215003 0.04656128 -0.01841168 0.00167264 0.14864662 0.01097491 -0.02877345 -0.1882653 0.04901996 -0.08878041 -0.0112151 ] [ 1.22253440e-01 4.14889380e-02 -4.73578162e-02 4.79658842e-02 -2.98945643e-02 -7.66769350e-02 -4.61672395e-02 -1.37492448e-01 3.32209095e-03 5.52253856e-04 -1.83631659e-01 -2.43255980e-02 7.73494691e-03 3.41087021e-02 1.42667159e-01 1.39326170e-01 -1.58998778e-03 1.78051293e-01 1.89844176e-01 -5.64948581e-02 -1.24748856e-01 -6.50385246e-02 1.72701105e-01 1.01462342e-01 -3.90695827e-03 7.30564259e-03 1.65713951e-01 -1.11450232e-03 -8.16321746e-02 -4.51822989e-02 -1.37453482e-01 1.75466031e-01 1.49044609e-02 -2.35453015e-03 7.85508379e-03 -8.03905632e-03 -1.38771273e-02 -9.83770713e-02 2.12134630e-03 -1.24195337e-01 2.84980386e-02 3.97534156e-03 -1.44352764e-02 6.54464727e-03 -1.49192646e-01 -7.10357428e-02 -1.48169726e-01 9.91726015e-03 7.36914063e-03 1.06325960e-02 6.20779023e-03 -3.94119509e-03 -2.23025382e-02 6.28681621e-03 -9.31588840e-03 -8.50926663e-05 -1.65225659e-02 3.03594605e-03 5.89051843e-03 -2.01721117e-02 6.55111820e-02 -1.09539233e-01 1.34740800e-01 -1.59953497e-02 -1.09083191e-01 1.58556178e-01 -5.85055584e-03 1.08519055e-01 -1.10413823e-02 -3.13414931e-02 5.34052886e-02 -8.06851089e-02 9.62363905e-04 -2.35875184e-03 -4.94418619e-03 5.07180020e-03 1.02370918e-01 -5.86168282e-02 1.31407622e-04 -1.13624744e-01 -3.17113241e-03 2.03985744e-03 1.30042648e-02 -1.41919509e-01 4.11176421e-02 1.69029847e-01 1.56574361e-02 4.36349446e-03 2.28111236e-03 -9.72678810e-02 1.54617831e-01 1.39625669e-01 -2.87996791e-03 -4.82739415e-04 7.82989990e-03 -5.56978770e-02 1.64210796e-01 -1.84898719e-01 -5.41175436e-03 -6.68793544e-02 1.88945040e-01 5.05735166e-02 1.79109618e-01 1.63428590e-01 -2.15407740e-03 -1.86217355e-03 1.35185048e-01 1.87432393e-02 -3.60194361e-03 -1.04575321e-01 -1.18100747e-01 -9.46010351e-02 -4.28895373e-03 -4.10403050e-02 8.01961645e-02 1.65149614e-01 1.81960627e-01 -1.15904668e-02 1.65702924e-01 -2.94131436e-03 -1.66508532e-03 1.61516488e-01 1.45845423e-02 -2.49224342e-02 6.70309216e-02 3.47986408e-02 -9.73976031e-02 -5.84872440e-03] Cos Similarity tf.Tensor(0.5480099, shape=(), dtype=float32) (128,) (128,) [-2.07254469e-01 1.86279863e-01 8.71785507e-02 -3.75223719e-02 4.32730541e-02 2.54613869e-02 -3.48505168e-03 -1.25417575e-01 5.08670183e-03 6.84501324e-03 -1.73980683e-01 -2.79037300e-02 3.26292068e-02 1.17087374e-02 5.27275689e-02 -2.56938627e-03 5.70143908e-02 9.89477485e-02 3.99632715e-02 5.08459844e-02 1.18244812e-01 -1.51535660e-01 3.83882746e-02 -3.22316238e-03 7.72344619e-02 5.23509551e-03 -6.59716502e-02 -6.51431546e-05 2.64738929e-02 -9.27357823e-02 -1.84797853e-01 1.54544726e-01 1.26641141e-02 2.75722779e-02 -1.98400076e-02 -3.47416848e-02 4.94212061e-02 1.63719058e-02 6.44920627e-03 1.38309896e-01 2.60856170e-02 1.51902589e-03 2.88458425e-03 1.10855633e-02 1.03433974e-01 1.46801457e-01 3.65901329e-02 -1.44783203e-02 3.67429741e-02 -3.81405558e-03 7.74133299e-03 8.42616707e-03 2.46983115e-02 2.22329628e-02 3.34269479e-02 2.38065887e-02 1.78903297e-01 -2.09284127e-02 -1.94035098e-02 3.98411453e-02 -6.99985996e-02 -8.07630941e-02 2.16272011e-01 2.04721726e-02 -9.59794521e-02 1.34718105e-01 7.70856766e-03 1.72185048e-01 1.50842266e-02 1.27671570e-01 6.01524450e-02 -1.41949058e-01 -1.30074350e-02 -1.43596763e-02 7.18369614e-03 1.63330343e-02 7.44801462e-02 -1.48080379e-01 -4.19999473e-03 1.24285311e-01 -1.09495511e-02 -1.25428345e-02 3.64867076e-02 -2.06838116e-01 -1.69828892e-01 -1.88299567e-01 5.66129722e-02 -9.51719878e-04 4.92009614e-03 -1.45062143e-02 -4.81476299e-02 -8.47306773e-02 2.15878710e-02 3.83729711e-02 1.84217785e-02 2.35757187e-01 1.14868209e-01 -1.81558460e-01 9.08934604e-03 8.69633704e-02 -7.06581101e-02 5.79648316e-02 1.80730417e-01 9.67969820e-02 1.37257371e-02 -3.40852067e-02 -2.01515973e-01 3.50349490e-03 4.74407412e-02 -3.07932589e-02 1.58791468e-01 8.77850205e-02 1.07821254e-02 -3.10552791e-02 -2.00618524e-02 1.14554122e-01 9.33112204e-02 1.80099905e-02 1.44916981e-01 4.20202613e-02 -2.11731568e-02 1.38395339e-01 1.75359659e-02 -5.90979028e-03 2.21538208e-02 1.68220245e-03 -2.64315866e-02 2.78865476e-03] [-0.18626921 0.0764626 0.06210458 -0.1226358 0.03544941 -0.1166496 0.01561949 -0.12578447 -0.01649023 0.0195067 0.02496721 -0.02831114 0.02087051 0.10700226 0.06315027 -0.02414756 0.05359865 -0.03335709 -0.20753275 0.11492235 0.08223457 -0.1610194 0.11917344 -0.02040012 0.06799911 0.00251025 0.0260597 -0.00299253 -0.01321473 -0.13439772 -0.1950496 -0.13079011 0.01599045 0.03359945 0.13742831 0.01172092 0.03496592 0.0440878 -0.00262875 0.1665333 -0.12281382 0.00931882 0.00164744 0.0127455 0.12539436 -0.03769869 0.12650438 -0.01582439 0.03518987 0.0077673 0.01049797 0.00959316 0.03374362 0.01858857 0.04437721 0.03489483 0.13463436 -0.01899715 -0.01085189 0.03704377 -0.1983616 0.13338147 0.11613601 0.01237392 0.08831214 0.06021353 0.00858271 0.17081249 0.00288476 0.12737902 -0.05885882 -0.03330923 -0.00075398 -0.00866723 0.01141419 0.01178307 0.06448836 -0.11611535 0.0073561 -0.05862818 -0.00156848 -0.02588007 0.02375177 -0.05952246 -0.02146834 -0.19809912 0.14278156 -0.00057011 0.01921007 -0.08384644 -0.07854432 -0.14928594 0.03047309 0.04732765 0.01613203 0.2222088 0.12387476 -0.16396917 0.01572145 0.12435967 -0.1233605 0.12888433 0.19030511 0.06937525 0.01615269 -0.04747177 -0.12671205 0.00049951 0.05139305 -0.06498932 0.17871313 0.14972293 0.00284189 -0.06319249 -0.04971626 0.08924657 0.10907144 0.02336672 0.10933149 0.03790794 -0.02816282 0.00605936 0.03579333 0.01505005 0.1199967 0.06064068 0.00759698 -0.00423118] Cos Similarity tf.Tensor(0.6673919, shape=(), dtype=float32) (128,) (128,) [-1.74530581e-01 -1.25105888e-01 -8.94740894e-02 4.56854850e-02 -1.27719492e-02 -7.82060903e-03 -1.10091954e-01 -1.76235721e-01 -3.39738466e-03 -4.07538982e-03 2.71543823e-02 4.29627625e-03 1.50290737e-02 -5.50823025e-02 -6.84221759e-02 -1.25677705e-01 -1.66798278e-03 -1.49625123e-01 1.08143568e-01 1.15544654e-01 -1.54988247e-03 4.93882112e-02 2.46943021e-03 -4.73351916e-03 -1.83132663e-02 4.78334539e-03 1.21448794e-02 -1.59610808e-02 -2.51171924e-02 -2.10819468e-01 1.23552889e-01 6.63927570e-02 -2.44676005e-02 3.70108546e-03 1.66313440e-01 4.31467220e-03 2.64418405e-03 -5.68652116e-02 -5.98038267e-03 1.33585734e-02 1.51789278e-01 3.35921207e-03 -3.39124934e-03 1.78495217e-02 -2.23515034e-01 -1.26294628e-01 -1.72698155e-01 -7.07088644e-03 7.74503080e-03 1.69533410e-03 1.38564194e-02 -5.76105015e-03 -4.15266939e-02 5.20271901e-03 -2.31661480e-02 1.55205315e-03 2.00077683e-01 4.84761875e-03 -8.97021164e-05 1.33388266e-02 -1.86359406e-01 9.07115564e-02 -1.63228780e-01 -7.23507581e-03 5.66904284e-02 4.49405164e-02 -6.04575686e-03 3.68910050e-03 -2.51204651e-02 2.31812090e-01 -2.60072318e-03 2.09159270e-01 7.46471202e-03 5.17627923e-04 -1.36655271e-02 -1.24545046e-03 -2.14444444e-01 1.64685607e-01 9.24985018e-03 -1.67582929e-01 3.36543098e-03 8.29785168e-02 -1.54489148e-02 1.40666187e-01 1.06517874e-01 5.12079559e-02 8.00012276e-02 -2.32781889e-03 -5.70483785e-03 1.20389331e-02 1.88097730e-02 -9.45604146e-02 1.63337607e-02 -1.30158174e-03 -5.95414022e-04 5.94687611e-02 -9.54010189e-02 -1.29391581e-01 1.27568390e-04 2.11293940e-02 -1.02147453e-01 1.12476677e-01 1.05499759e-01 -7.03266263e-02 -3.17205349e-03 -1.48366690e-02 1.67161047e-01 -6.99391449e-03 -6.49355771e-03 -6.07788265e-02 4.38551754e-02 -1.95793599e-01 -3.57660167e-02 -1.94210671e-02 -5.52134812e-02 -1.70528576e-01 -1.67573705e-01 1.19103929e-02 1.60970747e-01 5.04136505e-03 -3.65492795e-03 -5.97731657e-02 3.21062319e-02 -4.54844581e-03 -2.64059845e-02 2.45471485e-02 -5.02129085e-03 -9.38936195e-04] [-1.80941939e-01 -1.24525785e-01 -8.69804025e-02 5.92511036e-02 -1.23087801e-02 -2.86302040e-03 -1.14060625e-01 -1.73841938e-01 -4.58688242e-03 -4.85671684e-03 1.82641596e-02 2.74278619e-03 1.23919025e-02 -2.84444671e-02 -6.48293495e-02 -1.25547156e-01 -4.12712892e-04 -1.42869264e-01 1.35743946e-01 1.12173833e-01 -2.48206104e-03 4.60751764e-02 2.58248136e-03 -2.01379452e-02 -2.39623748e-02 4.71119490e-03 6.46242732e-03 -1.77710876e-02 -4.39793766e-02 -2.09506288e-01 1.26345307e-01 1.30043224e-01 -1.99240018e-02 -1.20306702e-03 1.75215855e-01 4.96058119e-03 -2.27963389e-03 -5.40311262e-02 -4.48548095e-03 8.17200821e-03 1.65072367e-01 5.15304599e-03 -4.11573052e-03 1.10023785e-02 -2.02568039e-01 -9.76340473e-02 -1.81200281e-01 -8.26141518e-03 7.41989352e-03 6.59127813e-03 1.37708252e-02 -5.74456714e-03 -4.68635447e-02 5.06169023e-03 -2.83809602e-02 2.34214053e-03 2.01741174e-01 4.67838161e-03 2.15551211e-03 7.18468009e-03 -1.86693013e-01 3.38586979e-02 -1.61788166e-01 -9.83828679e-03 5.52704111e-02 4.32479903e-02 -1.02660060e-02 -4.49451036e-05 -2.36727186e-02 2.27465317e-01 -5.43945748e-03 2.11059853e-01 4.37685754e-03 1.34567462e-03 -1.40360985e-02 -3.10143433e-03 -2.13036150e-01 1.78838328e-01 8.64155777e-03 -1.56293869e-01 2.92883225e-04 7.05216825e-02 -1.23403650e-02 1.46940500e-01 1.01384833e-01 5.10028452e-02 7.44877905e-02 -9.35355201e-04 -5.73932705e-03 2.21706368e-02 1.91740934e-02 -1.02022357e-01 7.63977459e-03 -1.78692385e-03 -3.09297885e-03 2.12924443e-02 -9.49446857e-02 -1.27809629e-01 1.95606568e-04 1.34274010e-02 -1.00338265e-01 1.09933846e-01 1.13926671e-01 -5.92802092e-02 -5.63627062e-03 -1.36632901e-02 1.75092787e-01 -5.95019665e-03 -1.10228881e-02 -6.17159121e-02 4.27026227e-02 -1.92882478e-01 -3.51113155e-02 -1.40496075e-01 -5.53212464e-02 -1.66407213e-01 -1.00387663e-01 8.85818340e-03 1.61389753e-01 1.37018238e-03 -2.72363424e-03 -4.24648821e-02 3.07401195e-02 -6.32730126e-03 -2.56376825e-02 2.29884256e-02 -4.77142166e-04 -1.33824709e-03] Cos Similarity tf.Tensor(0.9829737, shape=(), dtype=float32) (128,) (128,) [ 1.78173795e-01 -1.62015855e-01 -1.09634854e-01 -2.84270663e-02 -1.28102405e-02 -6.71917200e-02 3.29509266e-02 -8.65025967e-02 1.81836002e-02 -7.96923693e-03 -2.21210942e-01 -1.83812436e-02 -4.03030366e-02 -1.46049246e-01 -5.22083975e-02 -1.27208322e-01 5.00103366e-03 1.47018403e-01 -1.13181725e-01 -1.77316181e-02 2.03373129e-04 -3.53707671e-02 5.36977574e-02 -1.11359917e-01 -2.38507017e-02 -1.04843741e-02 -2.06042811e-01 -1.37981484e-02 1.33896068e-01 2.06689119e-01 -1.97294071e-01 -1.58852443e-01 -1.80262327e-02 -1.22565534e-02 -1.26143068e-01 2.24171691e-02 -4.46501970e-02 -6.10510223e-02 1.65473931e-02 -2.20793441e-01 -3.78852822e-02 -1.00187305e-02 -1.14724869e-02 -3.18299048e-03 1.17443338e-01 1.63990244e-01 1.51500255e-01 2.24551596e-02 1.25700487e-02 1.80032980e-02 7.32745789e-03 -1.65344623e-03 -5.48038259e-03 3.18976096e-03 -1.30543550e-02 1.02887498e-02 -4.39120010e-02 8.53738282e-03 2.50629196e-03 -1.01799648e-02 -5.74520081e-02 -2.21211001e-01 4.70341090e-03 -1.03010237e-02 4.66608740e-02 5.38546927e-02 -3.29281297e-03 -1.35010600e-01 -1.41977984e-02 9.64672212e-03 -7.94940516e-02 1.79513693e-02 -3.97029333e-03 7.92912580e-03 -1.91342216e-02 8.94574821e-03 -1.63006693e-01 4.36358377e-02 -3.60836508e-03 -1.06667489e-01 -1.18216430e-03 -1.06399273e-02 3.48653719e-02 2.33917832e-01 -1.08809330e-01 -6.74109086e-02 -9.25947800e-02 4.26481199e-03 -2.19196491e-02 1.00771092e-01 1.41781226e-01 -1.17461234e-01 8.72456841e-03 1.49240913e-02 -2.17383336e-02 1.83150187e-01 3.22503559e-02 1.25183329e-01 -2.14851185e-04 -5.46955168e-02 9.28542539e-02 -1.04291387e-01 2.15342924e-01 -4.71032187e-02 -3.50383297e-03 1.50825726e-02 -1.24472743e-02 2.50055622e-02 8.77847616e-03 -6.10991679e-02 -4.77889776e-02 -1.75035581e-01 -2.09294707e-02 -1.93425640e-01 -3.56639512e-02 9.69369635e-02 -3.16153765e-02 3.28724273e-03 4.78200018e-02 -5.64309675e-03 7.90382922e-03 4.57480922e-03 7.35738734e-03 1.07434858e-02 -2.62282300e-03 5.94510101e-02 -1.78629197e-02 -1.28396777e-02] [ 1.10644452e-01 -1.43645152e-01 -4.09161709e-02 -1.97330639e-02 -4.03186074e-03 -1.24348085e-02 7.33917356e-02 3.66538428e-02 1.73018053e-02 -5.50645962e-03 -2.37210616e-01 -1.21215498e-02 -4.13408540e-02 -7.89259225e-02 -6.53003454e-02 -1.14702784e-01 9.66545136e-04 1.78487077e-01 -1.38266101e-01 -7.06142699e-03 -2.12221197e-03 -5.58914021e-02 -8.48259591e-03 -1.29889607e-01 -1.37885520e-03 -1.20065762e-02 -1.85197651e-01 -2.16029286e-02 1.53514639e-01 1.96494937e-01 -1.11699924e-01 -1.50805056e-01 -2.39609946e-02 -1.71723980e-02 -1.22766480e-01 1.32435458e-02 -3.08619197e-02 -7.36831650e-02 6.25504181e-03 -2.07851708e-01 -2.64234506e-02 -9.12366062e-03 -8.39879643e-03 -1.09071285e-03 9.48076546e-02 1.93317667e-01 1.05957948e-01 1.38664991e-02 1.04816044e-02 2.31210962e-02 6.99426979e-03 6.39710203e-03 -8.42745695e-03 2.92300014e-03 -9.66585614e-03 2.06411202e-02 -9.90316179e-03 -1.12529215e-03 -2.07159785e-03 -8.05124547e-03 -8.33418742e-02 -2.27396473e-01 -1.49815092e-02 -1.80351008e-02 9.64285508e-02 4.85025197e-02 -5.80732711e-03 -1.50674805e-01 1.88872847e-03 -1.83442775e-02 -6.37675226e-02 1.34033887e-02 2.00416683e-03 8.52985494e-03 -1.01025598e-02 5.92155801e-03 -1.71099082e-01 5.07082678e-02 -5.47338219e-04 -1.84170693e-01 2.05434440e-03 -5.47368675e-02 3.32085676e-02 2.32746392e-01 -1.37079805e-01 -3.09127271e-02 -4.53030728e-02 9.28217731e-03 -2.22417582e-02 8.91380906e-02 9.64213237e-02 -1.64678648e-01 1.32416410e-03 1.52500495e-02 -8.28959793e-03 2.12081626e-01 9.32693202e-03 5.21451347e-02 -5.07867010e-03 -1.25878021e-01 9.31587890e-02 -1.48659483e-01 2.18411788e-01 -5.08066155e-02 -7.04217330e-03 1.30282054e-02 7.07568824e-02 7.37906341e-03 8.55943095e-03 -5.38395345e-02 -7.81777278e-02 -2.01716259e-01 -1.28148645e-02 -1.55330598e-01 -2.98871491e-02 1.12760454e-01 -3.86876725e-02 7.63905840e-03 5.80507405e-02 -8.10387358e-03 9.46638267e-03 5.73991574e-02 3.89797569e-05 2.55336217e-03 -9.70289856e-02 3.96247096e-02 -1.20405611e-02 -1.08163273e-02] Cos Similarity tf.Tensor(0.94231546, shape=(), dtype=float32) (128,) (128,) [-1.66253373e-01 3.60528007e-02 -3.71669941e-02 1.00249656e-01 -2.34944317e-02 8.75219796e-03 -1.55026436e-01 -1.66907281e-01 1.00588333e-03 9.68822045e-04 -1.88945040e-01 -9.95537266e-04 -3.23723489e-03 -1.71907172e-01 -5.87191060e-02 -4.60512601e-02 -3.58501659e-03 -4.30229828e-02 -1.08538441e-01 5.25541566e-02 -1.82287931e-01 -1.12393990e-01 1.37465969e-02 -1.75669298e-01 2.21507195e-02 -1.06554513e-03 9.89821479e-02 -1.11074690e-02 -1.42929956e-01 1.07914709e-01 -4.70362082e-02 7.67869726e-02 -6.03042252e-04 -5.05934295e-04 1.72413617e-01 3.16137299e-02 6.89234657e-05 -1.64518595e-01 -2.26049079e-03 1.10711738e-01 -1.84572577e-01 -1.16051233e-03 -6.12679077e-03 -5.69760194e-03 3.90905887e-02 -9.36651230e-02 1.11157030e-01 -2.38956381e-02 1.51668517e-02 -4.26665647e-03 2.67712981e-03 2.70855427e-03 -2.12573763e-02 8.88345577e-03 -2.01666523e-02 6.41756458e-03 -1.57597318e-01 8.75748112e-04 -7.67880678e-03 2.70283478e-03 -1.27510980e-01 -6.33565895e-03 3.06522250e-02 -5.14765782e-03 -4.19684574e-02 1.89902619e-01 -1.85208190e-02 -8.66588205e-02 -2.38977466e-02 -7.24820644e-02 1.64872095e-01 -1.63902774e-01 -7.85653293e-03 -1.94338360e-03 -1.12114530e-02 -1.52670778e-03 -1.61599740e-01 1.47165842e-02 1.63964625e-03 1.42021731e-01 -5.63360238e-03 9.13761184e-03 -1.60078704e-02 -1.83851540e-01 1.73646137e-01 1.22803614e-01 -4.74591516e-02 8.02206527e-03 -3.16006318e-03 2.08373591e-02 2.27112547e-02 -3.38247605e-02 8.34539998e-03 9.05485358e-03 6.87689753e-04 1.40592068e-01 -4.53425460e-02 -8.29294100e-02 6.53569074e-03 1.16095431e-01 2.08168775e-01 1.81204408e-01 -7.34123513e-02 -1.82044655e-01 1.22502900e-03 1.33129046e-03 -1.16666012e-01 8.74417182e-03 -1.85468188e-03 -1.77670717e-01 -1.72768667e-01 -1.49663717e-01 6.25190930e-03 -1.20897405e-02 -7.22232834e-02 -2.06488208e-03 6.46349713e-02 8.66695715e-04 -1.33292213e-01 -7.02698482e-03 -3.19236678e-05 1.11506330e-02 1.12786284e-02 2.69873850e-02 -3.17270011e-02 -3.11702248e-02 2.03900617e-02 -1.00885769e-02] [-5.16282730e-02 1.50354356e-01 -1.19450077e-01 -9.51675028e-02 -1.30131533e-02 -3.28752100e-02 -6.30590320e-03 -2.02990100e-01 -4.70718229e-03 2.88993353e-03 8.79998133e-02 6.61150028e-04 1.83175169e-02 -1.76989496e-01 1.30153731e-01 -1.06486581e-01 -1.38547141e-02 2.07037792e-01 1.69511244e-01 -1.56484857e-01 -1.28435448e-01 -1.35422915e-01 -1.75672635e-01 -3.76162194e-02 1.13219963e-02 4.54564113e-03 1.01843715e-01 8.77467450e-03 1.83753833e-01 -3.99447270e-02 -2.14412920e-02 6.66920748e-03 4.03777789e-03 9.54536442e-03 -1.91291615e-01 5.54230483e-03 -8.03843047e-03 -1.41792446e-02 -2.07712967e-02 -9.63578746e-02 1.60953790e-01 -1.06327643e-03 6.48952671e-04 1.51774436e-02 -1.19050443e-01 -9.66259465e-02 3.31686717e-03 1.38208568e-02 2.04613544e-02 5.49699459e-03 9.14043188e-03 2.53527565e-03 2.17276113e-03 7.78304785e-03 -5.02766017e-03 -3.56314331e-03 -1.18708476e-01 -6.00648113e-03 1.22333914e-02 1.30070299e-02 1.85420662e-01 1.40621424e-01 -3.44706997e-02 -1.28675792e-02 1.18540727e-01 9.49247852e-02 -8.73716827e-03 5.50153740e-02 -1.51735294e-04 1.07201159e-01 -6.45167008e-02 6.00386858e-02 7.56788766e-03 1.29596656e-02 -2.29039229e-02 1.64259579e-02 -1.74919665e-01 5.57840280e-02 1.37228961e-03 -1.91500202e-01 1.08551029e-02 1.80213619e-02 -2.06008200e-02 -9.34299678e-02 -8.56069010e-03 -7.20691755e-02 1.06477961e-01 1.40725868e-02 5.88712690e-04 1.81361243e-01 -1.21631257e-01 -2.94612348e-03 3.44534143e-04 2.16495786e-02 -1.95900016e-02 -3.01658325e-02 -6.40627043e-03 -1.92711905e-01 6.89041615e-03 2.88339481e-02 1.11511342e-01 -2.23385636e-02 1.18632361e-01 1.02941789e-01 8.66876822e-03 -1.61099415e-02 -4.32540476e-02 3.04468647e-02 1.25782657e-02 -1.63404986e-01 3.80927734e-02 2.00343043e-01 -8.10399372e-03 -1.66521192e-01 7.91039541e-02 2.14188900e-02 -2.23611787e-01 -4.30685049e-03 2.56455056e-02 1.77458338e-02 -1.43544236e-03 9.14022550e-02 3.27762477e-02 3.53513076e-03 -1.56317711e-01 4.51586992e-02 5.26185930e-02 -7.93279521e-03] Cos Similarity tf.Tensor(-0.054471765, shape=(), dtype=float32) (128,) (128,) [ 0.16002078 0.09758385 0.10902903 0.12862737 0.03288602 -0.01065168 -0.0748935 -0.06673028 -0.03146682 0.0102138 -0.01968216 -0.02754669 0.01660548 -0.09242505 0.0824745 0.180057 0.05181293 0.16725734 -0.04874497 -0.01421918 -0.17947134 0.04863829 0.16398685 0.12506118 0.05177345 0.01355558 0.0217637 0.00848805 -0.12364254 0.09930252 0.05380388 0.1459313 0.05056095 0.06140393 -0.11099412 0.00633006 0.04409596 0.19567119 -0.04993552 0.1416169 0.1377942 0.00130295 0.0121982 0.03114116 0.06412486 -0.1424106 0.08357669 0.03288886 0.03269616 0.01039091 -0.00048745 0.00153216 0.05752253 0.0157185 0.05934417 0.00205901 0.15372354 0.00177377 0.04065995 0.02625869 0.06908799 0.20062074 -0.14106932 -0.00463584 -0.06739237 -0.12115557 -0.00029654 0.00023194 0.03407354 0.21339099 -0.09525939 0.13197128 0.03041427 0.04137421 -0.00309878 0.04855558 0.08744374 -0.08241388 0.00890362 -0.12908643 0.02474881 -0.00509007 0.01153153 -0.07567563 0.07513995 0.17932539 -0.04195746 0.02522689 0.01893313 0.01199885 0.04179331 -0.10924954 0.01370411 0.05059613 0.00872977 -0.04156185 0.13980095 -0.112045 0.00965067 0.00481219 -0.1178946 0.16080403 -0.03160092 0.18314536 0.03584069 0.01696309 0.00503319 0.01952658 0.05033708 -0.21217865 0.11181594 0.16487826 0.04078281 -0.03669154 -0.10190102 -0.06732195 0.14883205 0.02092192 -0.08873887 -0.00221833 -0.01683349 -0.11757878 0.04445441 0.00174846 0.13001513 -0.05374151 -0.06726567 0.00554573] [ 1.24322325e-01 5.67888021e-02 1.36393160e-01 -1.22511178e-01 -1.55745698e-02 -1.34336129e-01 2.70795822e-02 1.54482741e-02 8.68467055e-03 -7.56383454e-03 1.66631892e-01 -9.17979400e-04 5.21726022e-03 3.42619307e-02 1.49762005e-01 5.78722209e-02 2.95112352e-03 8.77798051e-02 -5.96515574e-02 -1.37127399e-01 -7.48157650e-02 -8.86238888e-02 -5.69935143e-03 -1.02569431e-01 -1.59940831e-02 4.82724840e-03 4.01973315e-02 -4.16279584e-03 2.05461353e-01 7.75514022e-02 -5.19169420e-02 -1.87817272e-02 -7.21244654e-03 7.25916680e-03 -8.75476971e-02 9.28562004e-05 -1.17147854e-02 -9.47024897e-02 -1.32005382e-02 -7.93972388e-02 1.90773040e-01 3.64725332e-04 -3.34842619e-03 -1.50178177e-02 -1.21750273e-01 1.26452073e-01 1.43132910e-01 1.99420284e-02 2.08027400e-02 -6.01475942e-04 4.22135508e-03 -5.20757982e-04 8.13245494e-03 1.31007582e-02 7.35214259e-03 -7.46007543e-03 1.47866338e-01 -3.77763784e-03 1.18013136e-02 1.45555725e-02 -6.50222972e-02 -1.68956012e-01 1.20925397e-01 -1.12425098e-02 -1.75526425e-01 1.84433207e-01 7.89059699e-03 1.57028183e-01 1.72911258e-03 -1.02467582e-01 -8.98421705e-02 -7.49994963e-02 8.16367101e-03 -2.81353202e-03 -6.94324868e-03 2.36242078e-02 -1.58649236e-01 -1.32200256e-01 -7.95668457e-04 -7.23612830e-02 1.07978843e-02 4.29539429e-03 2.22164337e-02 8.74646753e-02 1.59719199e-01 -1.96066946e-01 -1.46682307e-01 1.60195697e-02 -7.17971893e-03 5.13837785e-02 5.98070025e-02 -1.15595855e-01 9.88412835e-03 -3.64513649e-03 -5.24940342e-03 1.69800639e-01 2.84268870e-03 -1.87909871e-01 9.56298877e-03 2.13007674e-01 2.14707345e-01 -3.23730372e-02 1.78949386e-01 -7.97773525e-02 1.30215809e-02 2.85203359e-03 -3.30993831e-02 1.70257427e-02 4.24793549e-03 1.10681564e-01 -1.21439271e-01 9.97228697e-02 1.48938026e-03 2.57142652e-02 3.99137987e-03 1.74564570e-01 -7.31446370e-02 -8.52449518e-03 9.64515880e-02 4.27455688e-03 -5.30509884e-03 -8.00025165e-02 1.84718464e-02 8.05071648e-03 -1.43771127e-01 1.05191395e-02 -2.81611532e-02 -2.15712865e-03] Cos Similarity tf.Tensor(-0.13480437, shape=(), dtype=float32) (128,) (128,) [ 0.05715787 0.18230163 0.12863624 -0.04894469 -0.01870141 0.00452016 -0.04792911 -0.20003586 0.01934226 -0.00436842 -0.09930044 0.01847082 0.03468246 0.04970171 0.10145511 -0.06076294 0.02482207 0.00487396 0.0290364 0.00313798 -0.0093396 -0.17722571 -0.06865072 -0.07024188 0.02294139 0.01709362 0.08426564 0.01473588 0.10052412 0.04882099 0.08905994 0.04084051 0.01067297 0.02381699 0.01825681 0.06739419 0.02362115 -0.16373463 0.00302108 0.1693592 -0.17220232 -0.00975893 0.00378935 0.0195235 0.03973683 0.11122671 -0.13519087 0.01531902 0.02551738 0.03264331 0.00523155 0.0045056 0.01973132 0.00783437 0.01563708 0.00992327 -0.03910707 -0.0078518 -0.00780134 0.01188843 0.06414711 -0.192706 -0.1859807 0.00583474 -0.03769573 0.18002795 -0.00055413 0.00732534 0.00127653 0.04814527 -0.01530366 -0.03149958 -0.00603322 0.02524233 0.00837807 0.0312516 0.05464099 -0.13861834 -0.01234863 0.05637805 0.01248966 0.00413359 0.00718034 -0.124407 0.08235349 -0.18996282 -0.21542566 0.01065657 0.0151207 -0.2120369 0.17357041 -0.16104598 0.02656263 0.0310276 0.00052364 -0.04000247 -0.01256727 -0.21031107 0.00421545 0.01491173 -0.19214657 -0.19832604 0.07194564 -0.18645586 0.01271014 -0.00902896 -0.11975638 0.00480934 0.0174882 0.08688183 0.11901818 0.21251799 0.0148178 0.00099942 -0.04704769 0.19239706 -0.14797147 -0.00095409 0.08292073 -0.00178517 -0.0171978 0.02603976 0.03476791 0.01284414 0.062581 0.02511445 0.06543401 0.00163131] [ 1.04228199e-01 1.96250468e-01 1.30171239e-01 -1.21674635e-01 -1.15691125e-02 -7.94930086e-02 -1.68470051e-02 8.96156207e-02 2.32606903e-02 -9.58881434e-03 1.01220019e-01 2.20947955e-02 -3.30090337e-03 -7.47661144e-02 2.17497237e-02 1.01343140e-01 1.18412683e-02 1.07304402e-01 1.38409868e-01 -1.66289970e-01 -4.34701554e-02 1.92613780e-01 -6.74660504e-02 4.61185575e-02 -3.16755511e-02 4.61326493e-03 2.06139341e-01 -4.95904265e-03 9.23419595e-02 1.92373127e-01 2.85025146e-02 6.10942096e-02 -3.34942318e-03 3.45332362e-03 6.05503321e-02 -4.86863870e-03 2.04797164e-02 -1.30357668e-01 -2.07570884e-02 1.30951777e-01 -1.77180290e-01 5.11202682e-03 -1.90043857e-03 -1.21053541e-02 -1.04954258e-01 8.08187202e-02 1.67457797e-02 1.50649901e-02 1.78600084e-02 9.30941291e-03 1.05424905e-02 8.50273389e-03 1.43063059e-02 6.52850373e-03 1.25101255e-02 2.13101897e-02 1.66942850e-01 5.51276142e-03 5.13593992e-03 5.97288832e-03 2.27088913e-01 1.28309475e-02 -1.94829411e-03 3.36522167e-03 -6.38761446e-02 -6.70539141e-02 9.46289301e-03 3.98238637e-02 7.25634536e-03 8.23632553e-02 -5.38991801e-02 -9.62634608e-02 -6.27643094e-05 2.69724037e-02 5.50850201e-03 2.43336596e-02 1.65058956e-01 -1.10989317e-01 -8.65871087e-03 1.67848617e-01 7.89866876e-03 -3.96919623e-03 -3.68298637e-03 1.07159033e-01 7.44472668e-02 1.76903024e-01 3.09116859e-02 1.62646156e-02 9.69103351e-03 2.05706209e-01 2.02313423e-01 -2.95413136e-02 7.27885775e-03 3.50340037e-03 1.29358815e-02 -1.58362269e-01 1.70941472e-01 3.70632969e-02 -3.73223418e-04 6.47544786e-02 -1.48468897e-01 -2.13891804e-01 1.84295520e-01 -1.56570002e-01 -1.49446530e-02 1.72719341e-02 -1.73044931e-02 9.21321101e-03 4.55922389e-04 -5.84950931e-02 -2.10332215e-01 -2.17953715e-02 1.47817452e-02 6.89153373e-02 -4.69022393e-02 -7.38604832e-03 -8.21062401e-02 -2.75220536e-02 1.13138013e-01 -1.16869183e-02 1.70042943e-02 -3.86347692e-03 3.43388915e-02 1.07803196e-03 -1.06698297e-01 3.01418342e-02 -4.03894763e-03 4.70334059e-03] Cos Similarity tf.Tensor(0.2063413, shape=(), dtype=float32) (128,) (128,) [ 6.44042492e-02 -1.76993504e-01 -2.49934141e-02 -1.31189853e-01 -1.54051678e-02 -3.17333378e-02 8.70928839e-02 1.53902143e-01 6.78075152e-03 -4.36611986e-03 5.14325798e-02 4.40956093e-03 -3.64038274e-02 2.50831507e-02 -6.43029958e-02 7.56593943e-02 -1.28738638e-02 -1.53248370e-01 -1.00350648e-01 -1.93486072e-03 -1.44469202e-01 3.84112559e-02 -5.44212423e-02 6.95463642e-02 -1.13145290e-02 3.32106347e-03 1.50526956e-01 -1.88480001e-02 -1.98884428e-01 1.93956256e-01 -1.62675723e-01 1.16804637e-01 1.95948014e-04 -3.20125790e-03 -7.49896467e-02 -4.04125685e-03 -1.85528956e-02 1.53760269e-01 2.08939658e-04 -9.61626172e-02 1.02386758e-01 -1.38479460e-03 -1.98980724e-03 -1.88809051e-03 1.79803282e-01 1.74909741e-01 1.16083488e-01 9.30827926e-04 2.32064584e-03 8.33831320e-04 -3.28381895e-03 2.28037289e-03 -9.63103771e-03 -2.42480985e-03 -5.52395172e-03 4.88338666e-03 1.12609237e-01 4.12461348e-03 5.45722572e-03 -1.40704289e-02 3.88169475e-02 -1.22823149e-01 -1.50299802e-01 -8.33976362e-03 1.69716641e-01 -2.48426609e-02 -7.80255254e-03 1.68248340e-01 -9.28474311e-03 5.57772033e-02 9.24726278e-02 1.59279823e-01 3.92421382e-03 4.75989468e-03 -4.62637609e-03 6.36191666e-03 1.59240142e-01 -3.84075493e-02 1.86197297e-03 -5.64784221e-02 -1.01641044e-02 1.27944117e-02 9.81432106e-03 1.07902445e-01 1.31237656e-01 1.29353523e-01 -1.57966278e-02 4.39773174e-03 -7.59423757e-03 2.80430298e-02 -1.28864005e-01 -8.28217119e-02 -1.82674918e-02 1.36128580e-03 -1.41433743e-03 1.02558531e-01 1.45113826e-01 1.50366694e-01 -2.82801650e-02 2.44371984e-02 -1.86997026e-01 8.12887251e-02 4.84245978e-02 1.90616131e-01 -1.38650760e-02 7.79313454e-03 -2.65976340e-02 1.39266402e-02 -1.66729838e-02 -1.33853242e-01 1.27552673e-01 2.06897587e-01 -1.28140440e-02 1.27043813e-01 -9.10046976e-03 1.58506632e-01 -1.00018486e-01 -1.35165341e-02 -1.67976350e-01 -2.24151481e-02 -5.01117064e-03 -9.17126611e-03 3.93693242e-03 -1.32879680e-02 1.52192593e-01 3.15435082e-02 4.43973765e-02 -1.33571094e-02] [ 1.69631481e-01 -2.14166790e-01 -6.02385439e-02 1.07593879e-01 -1.41489916e-02 -9.76906857e-04 -3.98649797e-02 -1.18470088e-01 3.45757208e-03 -3.67019279e-03 6.57030493e-02 4.49446123e-03 -1.18876323e-02 -2.69946884e-02 -4.51898351e-02 1.14969769e-02 -8.62147752e-03 -1.35024235e-01 -1.41302913e-01 -3.56118791e-02 6.45113215e-02 -1.84923962e-01 1.51374787e-01 -7.62506528e-03 -4.37714066e-03 2.78962497e-03 1.58484995e-01 -7.66932918e-03 2.09546126e-02 1.33271396e-01 -1.67301781e-02 4.62429263e-02 6.75496133e-03 -1.14072869e-02 -5.59820160e-02 -2.19941512e-02 -7.51764374e-03 1.18932262e-01 -3.32040334e-04 -7.98864756e-03 7.23393485e-02 3.38847493e-03 -3.99120711e-03 1.72266606e-02 1.44235536e-01 1.59195513e-01 4.02963662e-04 -6.43745996e-04 1.94103504e-03 5.40998764e-04 -1.54951750e-03 6.74064620e-04 -8.94861296e-03 -1.69142883e-03 7.87858444e-04 5.14188735e-03 1.76707089e-01 -2.70577730e-03 2.90314923e-03 -1.39149744e-02 -9.76507068e-02 2.68522985e-02 1.19119823e-01 -1.62200276e-02 1.14593036e-01 1.03543162e-01 -1.25785675e-02 1.76842034e-01 1.29435409e-03 9.00253057e-02 1.22468948e-01 1.58179402e-01 -4.89689934e-04 -4.15062061e-07 -3.22890934e-03 9.67405457e-03 1.33526951e-01 9.04903263e-02 7.45439611e-04 -1.36391282e-01 -1.09170014e-02 -4.48950864e-02 9.80428699e-03 -4.97241169e-02 8.98399279e-02 2.07721964e-01 2.01601669e-01 3.97313572e-03 -6.16207905e-03 3.59392725e-02 1.60904378e-02 -1.92995638e-01 3.38657573e-03 7.25290086e-03 -6.27077930e-03 9.47152674e-02 2.05329895e-01 -7.87579939e-02 -1.65082607e-02 -1.69611171e-01 -2.08011493e-01 -4.67681885e-02 -1.03007145e-01 -1.08401626e-01 -3.88158998e-03 2.49166551e-05 -1.69574022e-01 1.60397947e-04 -8.36538617e-03 1.16892695e-01 1.79310426e-01 1.95587814e-01 -1.04649290e-02 1.49343349e-03 1.78278028e-03 1.32248119e-01 -9.73374993e-02 -1.19467108e-02 -7.92006552e-02 -1.61883216e-02 8.36292631e-04 4.43839468e-02 3.88210011e-03 -2.57886350e-02 -1.46614403e-01 2.91568693e-02 -6.65179789e-02 -1.62701420e-02] Cos Similarity tf.Tensor(0.43053478, shape=(), dtype=float32) (128,) (128,) [ 1.09497219e-01 9.66405682e-03 -4.55878712e-02 9.75797847e-02 -5.96345577e-04 -9.00541469e-02 -5.07681109e-02 7.29031041e-02 -1.53387161e-02 7.38789700e-03 -1.57699436e-01 1.71277709e-02 2.50592809e-02 4.53218073e-02 6.94981217e-02 -1.21525064e-01 4.96977661e-03 -2.68864483e-02 1.50351480e-01 1.09776370e-01 9.35739800e-02 -1.44698441e-01 -1.04597010e-01 4.85038869e-02 -3.96440690e-03 1.55422725e-02 7.74131492e-02 -1.32977283e-02 1.64241761e-01 2.00008646e-01 -1.79067418e-01 -4.48045805e-02 2.36062258e-02 7.70774903e-03 1.69614375e-01 3.36184502e-02 -5.31942677e-03 -1.44552588e-01 1.31621538e-02 -3.95163782e-02 4.74287570e-02 -1.17399497e-02 7.60601601e-03 3.05701350e-03 1.23736069e-01 8.73029828e-02 -1.37883231e-01 2.12251209e-02 1.26211001e-02 5.60677145e-03 1.86608303e-02 6.61229622e-03 -5.27822413e-03 1.70007385e-02 1.01887323e-02 1.50705446e-02 1.37899928e-02 -1.64969619e-02 1.41056906e-03 1.64945126e-02 -1.43765593e-02 6.16914518e-02 1.71160534e-01 -6.36179792e-03 -1.51965484e-01 9.79130492e-02 -1.24794562e-04 -1.88237913e-02 3.53841763e-03 -1.46978185e-01 -4.22251970e-02 8.31885412e-02 1.76515970e-02 -4.15426539e-03 7.78109068e-03 6.68139476e-03 -6.09728657e-02 2.19065342e-02 7.10903853e-03 1.60762772e-01 -5.51197398e-03 -1.32156275e-02 1.09014427e-02 3.30127473e-03 -2.10670546e-01 1.06650203e-01 1.31852791e-01 1.37391593e-02 4.46068542e-03 2.80911922e-02 -3.31155099e-02 7.49408603e-02 2.42281649e-02 2.41233669e-02 1.99318863e-02 1.86341926e-01 -9.94356498e-02 -1.46310896e-01 8.73540342e-03 -1.42558023e-01 1.52765572e-01 8.41704234e-02 1.59543127e-01 2.20951602e-01 9.66386497e-03 -3.23522426e-02 2.16262758e-01 1.07920812e-02 -3.33328964e-03 -1.78529426e-01 -1.82682276e-01 -1.09610319e-01 1.57590974e-02 1.32098213e-01 2.91610342e-02 2.45221797e-02 2.10728288e-01 7.66691286e-03 1.68557353e-02 3.05167050e-03 -6.15302287e-03 1.07069023e-01 2.01535709e-02 -3.71291651e-03 -1.54509485e-01 1.04299933e-02 2.13169772e-02 -7.99864344e-03] [ 0.1479555 -0.1749396 0.10403688 0.17317727 -0.01282923 -0.0126825 0.11126177 0.09077597 0.00395087 0.00221293 0.16407265 -0.00814822 0.02692699 0.04455021 0.06081419 0.13237794 0.01193072 0.08354316 0.10300472 0.02441866 -0.03371875 -0.00549508 0.1274773 -0.03767797 0.0078248 0.00891155 -0.06921617 0.01294767 0.19022398 -0.0729812 -0.11836047 -0.07650404 0.00926059 0.02448802 0.2076727 -0.00937494 0.00641231 -0.03006694 -0.02193852 0.18221942 0.1009978 -0.00361443 0.00735025 0.01200327 0.18097776 -0.16365406 -0.00814644 0.02223885 0.01669474 -0.00288687 0.00156651 0.00597935 0.00834003 0.00273276 0.01656067 0.00802052 0.11878448 -0.00131081 -0.00576978 -0.01191225 -0.02627501 0.15309426 0.11894631 -0.0073402 0.0347911 0.00463301 -0.00379868 -0.05749062 0.018066 -0.01511232 0.11266224 -0.17222482 0.00386386 -0.00051378 -0.01872911 -0.00914628 0.17418003 -0.07710648 0.0036086 0.19444028 0.00327342 -0.00332031 0.00403645 -0.09426256 -0.05017932 -0.12513329 -0.08553133 0.01420011 0.00205881 0.14586085 -0.02753162 -0.17576437 0.01382884 0.00877479 0.01107716 -0.02830346 0.15635912 0.01421296 0.00790365 -0.1862953 -0.10103925 0.11571305 -0.07575553 0.11800893 -0.02260329 -0.0280135 -0.12831163 0.0117648 0.00850623 -0.18355861 -0.11218011 -0.17797855 0.01561655 0.1250363 0.00383397 -0.11459737 -0.07551505 -0.00736026 -0.19624126 -0.00211296 -0.00858883 0.18994156 -0.00429949 -0.0145763 0.0209471 0.04230968 0.08655269 0.00336071] Cos Similarity tf.Tensor(0.15566163, shape=(), dtype=float32) (128,) (128,) [-2.05300570e-01 -1.06533371e-01 4.86779325e-02 7.72988424e-02 1.62622426e-02 -4.29405756e-02 2.50648912e-02 6.02387302e-02 5.90147125e-03 1.12960935e-02 -1.75395668e-01 3.28591093e-02 -1.62186231e-02 3.55327539e-02 7.04140514e-02 -5.08674830e-02 1.55973984e-02 -1.19364209e-01 -1.39950171e-01 1.51482504e-02 6.99025840e-02 -9.43420976e-02 -1.55661508e-01 -1.57162324e-01 7.72662507e-03 2.82458290e-02 1.11799195e-01 2.56511802e-03 -1.94389269e-01 9.62544754e-02 9.63759273e-02 1.80876151e-01 1.83753707e-02 1.20775001e-02 1.88239574e-01 4.15591709e-02 1.62688922e-02 1.30953252e-01 1.05971145e-02 1.10440247e-01 1.55788034e-01 2.36755051e-02 3.80525156e-03 -3.07162933e-04 6.86297417e-02 -1.51011750e-01 9.43634585e-02 2.54192781e-02 -1.49284827e-03 1.29237892e-02 1.33242616e-02 -1.12459133e-03 2.14194357e-02 1.10898707e-02 3.86135392e-02 3.22334543e-02 1.41575187e-01 -1.37445573e-02 6.86946185e-03 2.61611324e-02 -1.64772674e-01 -1.29719988e-01 -1.96344197e-01 2.81572919e-02 1.79802403e-01 -1.03646927e-01 1.28507605e-02 1.50593281e-01 1.38985272e-02 1.72356889e-01 -1.78849742e-01 -1.18683308e-01 6.46300334e-03 1.92599948e-02 1.30542042e-02 -2.18512360e-02 1.38476461e-01 2.11492646e-02 -3.57405446e-03 -1.49234042e-01 7.04165036e-03 2.96837091e-03 -9.59098223e-04 1.60343736e-01 -5.87380193e-02 1.12404168e-01 1.70486253e-02 1.82675123e-02 1.63036548e-02 1.22257970e-01 -4.62741368e-02 5.50089451e-03 7.92136975e-03 1.32018197e-02 5.75097371e-03 6.00091219e-02 3.11139561e-02 -4.40335311e-02 6.20714948e-03 8.44004378e-02 1.01855546e-01 -6.14092164e-02 -1.73307225e-01 -5.97597323e-02 1.78574584e-02 1.18916192e-04 1.14821859e-01 1.77643716e-03 2.22914629e-02 2.94624306e-02 1.68921992e-01 1.78495497e-02 3.55831236e-02 -4.44890819e-02 -1.16807409e-02 1.84646428e-01 -1.91925555e-01 -7.42207607e-03 4.54412401e-02 -2.09970009e-02 1.25495426e-03 -1.14789970e-01 3.14627960e-02 -2.13605948e-02 5.23373671e-02 9.79711935e-02 1.53464535e-02 6.61038142e-03] [-1.36490077e-01 -7.99034536e-03 3.06528527e-02 -1.14474282e-01 2.53953715e-03 -1.37900591e-01 -1.18501104e-01 1.32024035e-01 -1.11853965e-02 2.01037875e-03 -4.30660642e-04 2.67106965e-02 1.56410411e-02 2.10634363e-03 3.60349678e-02 1.14273123e-01 2.25370051e-03 -1.37703776e-01 2.00305417e-01 -8.18657726e-02 -1.47447765e-01 -1.49374772e-02 -1.43345043e-01 -1.08081475e-02 2.62374077e-02 1.13376901e-02 -7.91177005e-02 -4.11393819e-03 -3.27967145e-02 1.78120896e-01 9.68561992e-02 2.09359914e-01 -3.52121168e-03 1.99680706e-03 -7.84843713e-02 2.93937102e-02 1.69596449e-02 3.71089764e-02 -2.50633098e-02 4.95670959e-02 1.78794682e-01 5.16138226e-03 5.86656714e-03 -7.04635028e-03 3.79522517e-02 1.45192239e-02 1.79395471e-02 1.75293591e-02 1.50022293e-02 -1.82217583e-02 6.13313355e-03 3.44048580e-03 1.52105093e-02 1.76368207e-02 -7.35768408e-04 2.23635584e-02 -1.69558734e-01 1.31040877e-02 2.13381294e-02 1.81298349e-02 -1.25768960e-01 3.92056592e-02 -1.81407049e-01 5.01463190e-03 -1.53544456e-01 -2.05199242e-01 4.61493665e-03 1.98231339e-01 1.48032606e-02 -8.37938786e-02 -2.27481965e-02 1.55505925e-01 1.94898434e-03 -1.49390744e-02 4.08418104e-03 -9.39849671e-03 -8.09118152e-02 2.67353412e-02 1.14350496e-02 1.56134486e-01 -7.58799864e-03 -2.74892460e-04 -1.68147944e-02 -1.10424876e-01 -1.82595089e-01 1.09842755e-01 -6.77508116e-02 2.43028849e-02 8.81507061e-03 -1.35429010e-01 -1.72639489e-01 -1.55303881e-01 3.53166461e-02 9.24132485e-03 6.41030539e-03 -1.26524881e-01 1.83848202e-01 -1.13888718e-01 8.96320271e-04 2.18613781e-02 1.67952567e-01 2.11781695e-01 5.99814728e-02 -6.70285374e-02 1.21570760e-02 3.27550620e-03 1.91901907e-01 -1.77130278e-03 2.20565721e-02 -1.65817872e-01 1.55333411e-02 1.04548030e-01 5.87337557e-03 3.63445655e-02 -1.92998070e-02 1.39245018e-02 -4.57672998e-02 1.56280832e-04 1.61436439e-01 -1.66011229e-02 1.03640715e-02 -6.96883649e-02 4.32976149e-02 -7.27368100e-03 4.10510339e-02 5.04501946e-02 -6.39537647e-02 -1.16127613e-03] Cos Similarity tf.Tensor(0.16605552, shape=(), dtype=float32) (128,) (128,) [ 0.02345518 0.02368722 0.11992318 -0.05000497 0.02578669 -0.02423719 -0.04407776 -0.00584747 0.00674634 0.01406121 -0.18907231 0.04029172 0.00970656 0.01498017 0.11924504 -0.0331156 -0.01417593 0.12705256 -0.021545 0.12204985 0.11173349 0.20302027 -0.21169469 -0.02557472 0.04665577 0.02976106 -0.14669088 0.02974063 -0.18573672 0.01592788 -0.00159787 -0.22933505 0.02851538 0.03559048 0.15588385 0.0662027 0.02949647 0.10335043 -0.06493719 -0.12165494 -0.06829958 -0.00123448 0.01127794 0.02601419 -0.02261886 -0.21681035 -0.0019994 0.0117758 0.01971211 0.02130817 0.01533309 0.00232445 0.0355012 0.01767834 0.04095309 0.01496365 0.16828853 -0.03930568 -0.00566277 0.01921773 0.04720011 0.19822736 0.02073313 0.02141591 0.0323334 0.01334166 0.01367856 -0.0162764 0.02934952 0.05803753 0.11916593 -0.21429966 0.00797789 -0.00765955 0.02386164 0.02748647 0.04113551 0.01470838 -0.01495561 -0.07880379 0.01124239 -0.00382143 0.00532614 0.16989422 -0.07374971 0.04160754 -0.00485678 0.03069529 0.01370949 -0.18049675 0.0319404 -0.17578685 0.02395119 0.0345691 -0.03734176 -0.19797179 -0.13575497 0.10121131 0.01996786 0.00292207 -0.13181208 0.00729164 -0.03074343 -0.14538728 0.00631221 0.04977188 -0.0988593 -0.0171034 0.0275651 -0.2292211 0.00762267 0.04884334 0.0366629 0.02785031 -0.00134249 -0.11492612 0.20031428 0.04358699 -0.07032393 -0.04209645 0.00982275 -0.18947908 0.03091126 0.02042018 0.04295365 0.16702046 0.0440533 0.00806183] [-2.44303085e-02 -9.62523520e-02 1.86555520e-01 -3.72402929e-02 2.78573227e-03 -1.31315947e-01 -1.42561514e-02 8.28649998e-02 1.02851903e-02 4.35151887e-04 -2.78830856e-01 3.99065949e-02 -1.94368809e-02 9.26355496e-02 4.89767827e-02 -6.61458895e-02 -1.12311020e-02 -3.00738290e-02 5.89982532e-02 4.44469042e-02 1.21374786e-01 -1.28348112e-01 -1.90172568e-01 -1.04296766e-01 6.85896492e-03 1.39430277e-02 -1.16015464e-01 1.21802073e-02 -1.27690479e-01 -8.30686241e-02 6.44229632e-03 -1.59182191e-01 1.08667351e-02 1.41124791e-02 7.69806132e-02 4.21970896e-02 1.78157501e-02 6.55221790e-02 -3.92213613e-02 -9.38510448e-02 -1.28312930e-01 1.10553112e-03 1.44881802e-02 7.61363702e-03 -5.48470244e-02 9.18425471e-02 1.64993942e-01 4.00266517e-03 1.64763872e-02 1.96501259e-02 1.92073826e-02 3.90453893e-03 -1.31545981e-04 6.17432036e-03 2.22879685e-02 2.20490601e-02 7.92546719e-02 -2.95978077e-02 -2.18091975e-03 2.27267924e-03 -1.38805449e-01 1.39059052e-01 -1.88487042e-02 1.88412294e-02 1.53134745e-02 5.51909842e-02 1.82069764e-02 7.65792727e-02 1.99728739e-02 1.03762306e-01 1.53363153e-01 -2.20917419e-01 1.15613025e-02 -7.49752577e-03 1.01619978e-02 3.02709024e-02 2.28600964e-01 -5.16114682e-02 -2.25161780e-02 -2.02361438e-02 8.45927466e-03 -7.98553787e-03 1.28330174e-03 1.46214008e-01 -1.60934791e-01 -7.87702501e-02 -1.29071608e-01 1.79567784e-02 -1.64717087e-03 -1.00171175e-02 9.23852529e-03 -2.44896904e-01 9.70539637e-03 3.00826523e-02 -2.44986564e-02 -7.60451630e-02 5.81233129e-02 4.69927527e-02 2.46901321e-03 -3.62237729e-02 -9.91377234e-02 -1.84275672e-01 -1.23965047e-01 -1.46220788e-01 1.28571764e-02 3.41604538e-02 -1.49876028e-01 4.28377511e-03 2.39630025e-02 -1.55459598e-01 -2.57533994e-02 1.82797238e-01 5.58422832e-03 -5.32818073e-03 -9.51763093e-02 5.38744703e-02 2.01639771e-01 -2.99603306e-03 -6.31451979e-02 -4.96544391e-02 8.04030336e-03 -9.38077942e-02 1.40113616e-02 6.52002962e-03 4.44454849e-02 1.74923077e-01 -3.33729573e-02 1.31110046e-02] Cos Similarity tf.Tensor(0.6268487, shape=(), dtype=float32) (128,) (128,) [-0.08204091 -0.1369577 0.08145803 -0.08864985 -0.00206279 0.00762183 -0.02265182 0.12232523 -0.01069615 0.01480688 0.0536128 0.05985878 0.03885248 -0.14236175 0.09745511 -0.00309111 0.06271857 -0.00740634 -0.1942554 -0.01337937 0.01843282 0.0315275 0.04381978 -0.05540929 0.03445278 0.0148771 -0.07723537 0.02104083 0.1561043 -0.04947709 0.03989366 0.12454047 -0.02855914 0.03399058 0.03778693 -0.02082376 0.05274642 0.0603015 -0.03463539 0.15798636 0.07576667 -0.00103939 0.0270872 0.01821817 0.0937718 -0.15643851 0.0278511 0.04001201 0.05056977 0.0019925 0.03849889 0.00527025 0.09264892 0.00868276 0.08199126 0.06236772 0.1527831 0.03226127 0.05989013 0.0470566 0.10067871 -0.10573851 -0.16147238 0.05543494 0.03413555 0.00220705 0.04049231 -0.00793933 0.04244044 0.13616435 -0.10779716 -0.07338459 0.0178918 0.01179989 -0.00203908 0.04066572 0.08596566 0.18432905 0.02226606 0.00918648 0.02922807 -0.00859001 0.01026574 -0.12284795 0.12947242 0.21318732 -0.15449339 0.02030418 0.02916565 0.13030489 0.17555188 -0.16916515 0.03524134 0.03195553 0.02749549 -0.08862601 0.12650812 -0.23303273 0.0276736 0.12783581 0.13379154 0.17020936 0.17328793 -0.18811251 0.03365261 -0.01024932 -0.08796762 0.01234108 0.07177957 -0.00670125 -0.06466035 0.05893726 0.04463365 -0.10258018 0.00765824 -0.0788424 -0.1210333 0.00652032 0.09920628 0.09887926 0.01592159 0.16666846 0.08805766 0.03387215 -0.17742266 0.04846779 -0.05463585 0.00461258] [-0.14244594 -0.13713406 0.07233334 -0.0627398 0.00596833 0.00384907 -0.00351225 0.11946248 -0.00902679 0.01623869 0.04371222 0.05340612 0.03541874 -0.15523563 0.09745451 0.00959749 0.04724602 -0.0674941 -0.20710663 -0.01484516 0.00684892 -0.0232891 0.04209046 -0.04756471 0.03526348 0.01308192 -0.03676747 0.0190709 0.16396669 -0.03755893 0.03657807 0.13018556 -0.01691709 0.03754015 -0.01482923 -0.01452618 0.04979737 0.09395334 -0.02906793 0.15907721 0.05458356 -0.00103438 0.02645577 0.00556427 0.09343409 -0.16662468 0.03943553 0.0382189 0.05176573 -0.00377013 0.03654535 0.00701432 0.0837294 0.00516514 0.07613972 0.05006239 0.14428006 0.03020531 0.05742391 0.04773241 0.10647124 -0.07880541 -0.17650166 0.04832112 0.00974249 0.15376401 0.03544603 -0.04462464 0.04054101 0.12205095 -0.09340148 -0.06607384 0.01622567 0.00903809 0.00246922 0.03724714 0.04237219 0.18352972 0.01991068 0.04827569 0.01487524 -0.01344289 0.00510182 -0.11041436 0.11982068 0.20451245 -0.18054008 0.02364254 0.02608749 0.14689931 0.17201392 -0.11895329 0.03285224 0.0256338 0.02215229 -0.08406402 0.1071687 -0.23170196 0.02607887 0.12362957 0.11184812 0.19886924 0.15622388 -0.20799632 0.03135161 -0.00588319 -0.04510937 0.01411163 0.06655008 0.02071375 -0.0494284 0.06556688 0.04457997 -0.11020412 0.01647227 -0.08795808 -0.13408789 0.01159626 0.07715771 0.09618293 0.01123364 0.15975313 0.07961384 0.02921949 -0.1747858 0.04110725 -0.04973779 0.00411911] Cos Similarity tf.Tensor(0.9698049, shape=(), dtype=float32) (128,) (128,) [ 1.2695791e-01 5.3468116e-02 -9.1634676e-02 -4.6813535e-03 -1.4430853e-02 1.3556351e-01 -1.5471289e-01 -9.0546094e-02 7.1144378e-04 -1.0186955e-03 -1.9975883e-01 -2.3940369e-03 8.2824482e-03 -7.6064259e-02 -1.6277162e-02 -2.4298567e-02 -8.5559599e-03 -2.9321272e-02 1.5578860e-01 -1.7130706e-01 2.0654529e-01 1.4517882e-01 1.7155051e-01 9.4236620e-02 2.8263015e-05 3.7052135e-03 -1.3461587e-02 9.4255731e-03 -6.0660038e-02 1.6236037e-01 1.7023773e-01 -9.7515017e-02 7.4782716e-03 -3.5377014e-03 1.9298550e-01 5.0708046e-03 -2.7210852e-03 -1.9525351e-01 2.8467043e-03 7.5780630e-02 1.6946690e-01 6.9196024e-03 1.2906176e-02 4.0402962e-03 1.6347475e-01 -1.2356872e-01 1.4948373e-01 -6.1220587e-03 8.4895119e-03 -6.1676982e-03 1.7657661e-03 7.6539676e-05 -2.2979824e-02 9.3149850e-03 -8.8619627e-03 6.9772559e-03 -7.6303408e-02 -1.1344720e-03 -4.4042510e-03 4.9420130e-03 1.2439765e-01 1.7392293e-01 -1.8318067e-01 -5.8750110e-03 -9.9838555e-02 4.5222688e-02 -1.4394396e-02 3.0207409e-02 -1.2234415e-02 7.5598843e-02 -1.6260861e-01 -5.4262396e-02 -9.4305463e-03 1.3494123e-03 -2.3023142e-03 -1.1396123e-02 -9.6030325e-02 1.1890058e-01 3.0525825e-03 -8.3682016e-03 -1.1832929e-02 -7.1948525e-03 6.8286979e-03 1.9330483e-02 -2.1337761e-02 2.7297374e-02 1.4569020e-01 -1.5892637e-03 3.2646307e-03 1.0486439e-01 1.7685392e-01 -1.3023537e-01 1.9235959e-02 1.8959857e-03 -2.0716498e-03 -1.3143158e-01 1.8656717e-01 1.3847500e-01 -3.8194174e-03 -3.4240097e-02 -7.2798125e-02 1.2871002e-01 -1.9064073e-01 -1.4711843e-01 -1.3790958e-02 5.4296604e-03 5.5460770e-02 1.4701823e-02 -1.2052919e-02 -8.7409832e-02 2.6360044e-02 -1.6765994e-01 2.4124731e-03 -1.7656151e-02 -1.1523003e-02 -5.3563178e-02 3.1312726e-02 -2.7361310e-03 -1.0616597e-01 -1.5965614e-02 2.1223819e-03 -3.2690745e-02 5.6168688e-03 -1.0297673e-02 -1.3097078e-01 3.7277337e-02 8.0487631e-02 -9.6237231e-03] [ 0.07979628 0.08596891 -0.0792815 -0.01618689 -0.02478851 0.1478165 -0.01342075 -0.0820467 0.00893829 -0.0021186 -0.195536 -0.00599309 0.00567268 -0.17187014 -0.01186743 -0.06063812 -0.00691368 -0.02223552 0.19316427 -0.18680973 0.16371344 0.15189004 0.14583065 -0.00054683 -0.00931229 0.00030109 -0.08270499 0.00435819 0.1251992 0.20372169 0.19624569 -0.06285786 0.00070141 -0.02548335 0.08917752 -0.01615576 0.00070827 -0.21236818 -0.00034115 0.17453249 0.15136266 0.01015356 0.00740373 0.00767282 0.06024573 -0.16674212 0.1761724 0.00154063 0.00963271 -0.00091969 0.00325826 0.00103334 -0.01806884 0.0048437 -0.01527381 0.00087579 0.09181978 -0.00196976 0.00079556 -0.00676058 -0.0030033 0.13812059 -0.19483416 -0.01420922 -0.08521824 0.07159642 -0.01547685 0.02274546 -0.01229192 0.03832797 -0.07390004 -0.01230976 -0.00974954 0.00279278 -0.00306354 -0.00596183 -0.03033362 0.12850326 0.00213486 -0.0721738 -0.00220413 -0.03176497 0.00028882 -0.09357933 0.0995524 0.06641325 0.18647332 -0.00044296 -0.00652127 0.13030368 0.19709232 0.00102479 0.01762341 0.00820468 -0.00266936 -0.15652643 0.20728992 0.0805472 -0.00355664 -0.06687856 -0.13147779 0.09131063 -0.15237941 -0.17068502 -0.00293308 -0.00110546 0.01981541 0.01323666 -0.01113908 0.05972286 0.01906605 -0.11997769 -0.00637662 -0.02905853 -0.02150663 0.13793942 0.00374955 0.00026095 -0.0483646 -0.00699459 -0.00069073 -0.09723273 0.01332037 -0.01790216 -0.11491905 0.00134296 0.10943676 -0.0004657 ] Cos Similarity tf.Tensor(0.8357762, shape=(), dtype=float32) (128,) (128,) [ 7.45648220e-02 -9.88937467e-02 7.19701424e-02 -1.95697531e-01 -4.52308636e-03 -4.56459448e-02 1.64128840e-01 -1.28945783e-01 1.48081705e-02 -4.49712947e-03 1.69683844e-01 4.45720972e-03 8.03388469e-03 1.06846884e-01 8.16790015e-02 2.02021390e-01 4.45379363e-03 6.45572767e-02 1.62575334e-01 -4.42345031e-02 -1.33039385e-01 9.11576003e-02 6.47333339e-02 4.47306819e-02 -2.15001814e-02 -6.70263311e-03 -4.27656956e-02 6.50416268e-03 -3.69117260e-02 -5.64020127e-02 1.59858763e-01 6.03340529e-02 1.07785966e-03 7.04470184e-03 -2.91012246e-02 7.60764582e-04 1.16059487e-03 1.91111326e-01 -1.33935455e-02 5.40078878e-02 1.01066165e-01 -4.43635602e-03 -3.60561791e-03 1.10577978e-03 -1.28052104e-02 -1.30618498e-01 1.72701571e-02 7.40359258e-03 1.20330025e-02 6.40201289e-03 2.23246985e-03 1.74809378e-04 -2.30783061e-03 8.71192478e-03 7.13686226e-03 9.75322546e-05 -7.88800120e-02 1.19437883e-03 7.91759137e-03 -1.95680950e-02 1.87261999e-01 -4.68982272e-02 -2.99219619e-02 6.84226211e-03 -1.69101939e-01 -8.87836143e-02 -2.37135726e-04 -1.55789435e-01 -1.08640958e-02 7.72057567e-03 -1.39073521e-01 1.97878093e-01 -3.77370720e-03 2.21498944e-02 -1.35157080e-02 7.76876602e-03 3.49416509e-02 -2.90166941e-02 -1.52686844e-03 1.71871603e-01 -6.24839356e-03 -2.59074871e-03 3.58737796e-03 3.96569185e-02 4.87920865e-02 -1.19975388e-01 -6.36555105e-02 5.74180437e-03 5.30230394e-03 6.88808709e-02 -2.02977881e-01 1.34647563e-01 -5.40712988e-03 1.39834303e-02 -2.22539343e-02 -1.54274508e-01 1.88919649e-01 -1.15649803e-02 1.11691980e-03 1.92690462e-01 4.62003285e-03 -1.23775601e-01 -1.23830467e-01 1.54305756e-01 -3.01094383e-06 1.30177205e-02 1.73326880e-01 1.83817726e-02 2.86360388e-03 -8.09450224e-02 7.66812339e-02 5.41865341e-02 -1.18684852e-02 -1.74341962e-01 -6.86291382e-02 1.67433828e-01 9.51046497e-02 -1.39335636e-02 -1.09794840e-01 -5.61541063e-04 -4.42186277e-03 9.64957401e-02 1.96254198e-02 -9.62718576e-03 1.94747955e-01 -8.10315311e-02 1.33783251e-01 -5.08076325e-03] [ 0.19050889 -0.06965479 0.03619559 -0.18875228 0.00214755 -0.06035021 0.15525058 0.15078275 0.01203478 -0.00651872 0.14108008 -0.00079307 0.01748136 0.13396847 0.09090318 0.18886997 0.00049772 0.13662636 0.00262597 -0.00723668 -0.02378687 0.11429821 0.1389225 -0.03424399 -0.02333245 -0.00454187 -0.04112858 0.00906656 -0.13058843 -0.12343217 0.17043473 0.05315871 0.02000323 0.00092838 0.0756982 0.00208649 0.00335163 0.1615634 -0.01291244 0.07247685 0.05152239 -0.00898562 -0.00161869 -0.00101108 0.06252258 -0.03593517 0.03534355 0.01638055 0.01031443 -0.00570975 -0.00289031 0.00224576 0.0041556 0.009981 0.00869451 0.01026122 -0.12701811 -0.00234404 0.01191608 -0.01353482 0.16745137 0.15656118 0.19520302 0.00068091 -0.05999023 0.0302188 0.00837154 -0.09221822 -0.00091508 0.04471775 -0.08445695 0.11530561 -0.00442545 0.0191708 -0.00746552 0.00715764 0.14914562 0.03453166 -0.01093969 0.20261121 -0.00329249 -0.00175439 0.00074676 0.00261956 -0.08691856 -0.08553194 0.04161081 0.00512043 0.00377689 0.18505397 -0.1538451 0.17607516 0.0017727 0.00695045 -0.00902897 0.17924096 -0.01460955 -0.16043478 0.0016947 -0.083657 0.15199418 -0.16578382 0.04574209 0.14053757 -0.00056546 0.00370533 0.10564031 0.01603518 -0.00692236 0.16912188 0.05559267 -0.01295797 0.00440207 -0.18652831 -0.00640448 0.08812531 0.14837776 -0.02487073 -0.05775791 -0.00272945 -0.00310622 0.15169065 -0.00770623 -0.01871005 0.17727564 0.04332092 0.05113684 -0.00088182] Cos Similarity tf.Tensor(0.59023535, shape=(), dtype=float32) (128,) (128,) [ 0.08663322 0.17075887 -0.06555282 -0.00927678 0.00307822 -0.01736553 -0.07657748 -0.09612001 -0.00702504 -0.00440387 -0.22301102 0.00627466 0.02129784 0.0513663 0.04453247 -0.13090505 0.01341141 -0.02682289 0.1953826 0.03177861 -0.09316599 -0.057825 -0.11286528 -0.01017616 0.01883216 0.01377038 0.1903462 -0.00791218 0.00031917 -0.0356179 -0.20596497 0.09457412 -0.00843738 0.00592276 -0.05687691 -0.00177724 0.00948037 -0.15800527 -0.00074716 0.02295214 0.11408199 -0.00818853 -0.00224322 -0.00280471 0.10268005 0.10501593 0.16089945 0.01098983 0.00788574 0.02623171 0.00942454 0.01099391 -0.03187154 0.00562741 -0.0006146 0.01405968 0.0259816 -0.01038857 0.00771292 -0.00500982 0.1601478 -0.12124608 0.10538585 0.00196464 -0.17046575 0.11783233 -0.01299943 -0.00522307 -0.00079806 0.0630333 -0.01949359 0.05113374 0.00650049 0.00298297 -0.00022578 0.00387727 0.20227093 0.11324871 -0.00162265 0.08106622 -0.00516131 0.00084364 0.00876711 -0.13668302 -0.17521238 0.137115 0.22225949 0.00299627 -0.00458555 0.02888852 0.03981188 0.19306335 0.00599649 0.00561293 0.00857587 0.20370738 -0.1155219 -0.2048756 -0.00625315 0.00130666 0.09970026 0.03036629 0.02790565 0.08687039 0.00092152 -0.02597688 0.19363123 0.00112899 0.01004159 -0.15468 0.14179292 -0.03241271 -0.00948123 -0.00264373 -0.04285582 0.13533853 0.17166331 -0.01316418 0.08803432 0.00669772 -0.00476429 -0.05426085 0.00288171 -0.03247903 -0.20234367 0.0183922 0.04995126 -0.00148943] [ 1.93128660e-01 5.79817258e-02 8.84440243e-02 9.45522115e-02 7.13154348e-03 -6.48065954e-02 -1.14679709e-01 1.37559772e-01 -8.97056889e-03 6.08439604e-03 -1.95821345e-01 -1.35290641e-02 2.01952606e-02 7.36251473e-02 5.29280603e-02 -1.57880649e-01 1.50563531e-02 1.01217978e-01 1.35029942e-01 -2.43346393e-02 -1.61331400e-01 -1.55077085e-01 5.40151335e-02 5.39837871e-03 2.15472057e-02 1.26203177e-02 1.18613720e-01 -8.26881453e-03 5.88217415e-02 -1.66646913e-02 -1.91180483e-01 1.10084288e-01 2.50350554e-02 2.05871053e-02 1.13871224e-01 7.88152777e-03 6.57737488e-03 -1.02968037e-01 -9.80303902e-03 5.63443732e-03 -1.22145861e-02 -1.31176785e-03 -1.07259245e-03 -3.53056914e-03 2.13037506e-02 1.90222353e-01 -1.10053802e-02 2.80672498e-02 1.14250043e-02 2.80925240e-02 9.94100515e-03 1.02536837e-02 1.92145277e-02 6.18664129e-03 5.05951839e-03 8.80263839e-03 2.09813211e-02 -8.17958824e-03 3.52735352e-03 1.56850938e-03 1.63195301e-02 -1.76958829e-01 6.62230328e-02 1.99924246e-03 -5.42879663e-02 9.59835872e-02 4.70057596e-03 -6.57789558e-02 1.60524342e-02 -5.81219792e-02 -3.16179544e-02 -1.11653171e-01 -4.35746415e-03 8.73030222e-05 5.06591378e-03 8.61825235e-03 1.24982812e-01 6.75433949e-02 -5.26934443e-03 1.94264859e-01 -6.75558951e-03 -5.64237759e-02 5.68852946e-03 8.76818895e-02 -1.80903643e-01 1.53306007e-01 1.14092790e-01 4.74736094e-03 -3.56107415e-03 1.76429898e-01 7.31626078e-02 1.79432765e-01 1.89369600e-02 1.49809653e-02 1.79013014e-02 1.66959539e-01 -9.03920084e-02 -2.00354040e-01 1.13144226e-03 -3.96441156e-03 1.89608455e-01 3.98829877e-02 5.26755117e-02 -4.25433973e-03 7.48936972e-03 -1.25539126e-02 2.01237753e-01 3.13699571e-03 1.86214875e-02 -2.00679943e-01 9.33399051e-02 -8.93111527e-02 6.29443303e-03 -1.21606857e-01 2.00709552e-02 1.80225030e-01 1.07852779e-01 -1.12967072e-02 1.64818481e-01 1.75301749e-02 1.30939279e-02 1.21491723e-01 -1.10557880e-02 -1.40829794e-02 -1.58015877e-01 1.64695866e-02 1.71224456e-02 -9.07163508e-03] Cos Similarity tf.Tensor(0.710878, shape=(), dtype=float32) (128,) (128,) [ 0.02147966 0.10071295 -0.02181101 0.09536099 -0.0092012 0.02523621 -0.00344089 -0.163623 -0.00104837 -0.00237258 -0.23222183 -0.00328992 0.01716291 0.0711126 0.04428667 0.04296261 0.00253596 -0.04947276 0.1591511 0.03019275 0.06313194 -0.1314301 0.06399583 0.14182596 0.00506652 0.00432475 0.1357285 -0.02473709 -0.10881702 0.19698954 -0.17102578 -0.01885296 -0.00664087 -0.00483375 0.15543652 0.01783765 -0.00661123 -0.19362354 0.01313242 -0.06444338 -0.18775125 -0.00765519 -0.0079192 0.00157173 -0.13152325 -0.00591751 0.05556617 -0.0026019 0.00737259 0.00904837 0.0120972 0.00356931 -0.02359714 0.00417254 -0.00409723 -0.00457311 -0.13947926 -0.00187732 0.00178739 -0.00782882 -0.01701284 -0.13043801 0.12129128 -0.01820363 -0.14275134 0.06957636 -0.02555882 -0.00836935 -0.03048801 0.04792188 -0.07338926 -0.02117309 -0.00437861 0.00314947 0.00884312 0.01403117 -0.14199732 0.07754376 -0.00297106 0.04050211 -0.00133099 0.04868864 0.00045841 0.02671782 -0.16514714 0.12418289 0.17972067 -0.0038048 0.00218898 0.16064435 0.06761906 0.19723292 0.01005987 -0.00321878 0.00079355 0.16109005 -0.05427116 -0.13058878 -0.01305248 -0.04730796 -0.16906722 0.04140286 -0.14796478 0.12578914 -0.02018818 -0.010694 0.18724258 0.015405 -0.00828021 -0.095296 0.02187858 -0.11947895 -0.01017527 0.00828317 -0.00444707 0.10679892 0.21438764 0.00144768 0.01049034 -0.04042773 0.00673646 0.21097016 0.01073354 -0.02025009 -0.20982188 0.04756766 0.05534665 -0.01685209] [-1.29289091e-01 -7.41216242e-02 -1.37880057e-01 1.45219058e-01 7.62485387e-03 1.58253178e-01 -9.54028592e-02 1.18283816e-01 6.16196077e-03 -1.83669403e-02 1.25322416e-01 -6.82224054e-03 -3.43075721e-03 1.87193677e-01 9.21325535e-02 1.05223313e-01 -2.47221235e-02 7.27754310e-02 1.39561951e-01 5.38918823e-02 1.49567410e-01 -5.81630468e-02 1.55582055e-02 -4.24192213e-02 -1.74325630e-02 -3.85968218e-04 -1.32231951e-01 -7.77669996e-03 1.01592012e-01 -1.55751377e-01 1.04131669e-01 7.35650286e-02 -1.21256430e-02 -3.73650864e-02 -1.93222657e-01 -4.31632809e-02 -5.17364359e-03 1.43455476e-01 -1.22745195e-03 1.67107526e-02 1.24833822e-01 -2.47803610e-03 -1.35860743e-03 -4.43290547e-03 -3.71924713e-02 1.48124710e-01 1.63736507e-01 -6.30336208e-03 -8.46060400e-04 2.99213151e-03 3.43503925e-05 3.13742156e-03 -1.27725620e-02 3.61053419e-04 -8.87495745e-03 2.51687132e-03 -1.99562147e-01 -4.12778370e-03 -2.04890594e-03 -2.29902659e-02 1.56111717e-01 -1.25410870e-01 -2.07569711e-02 -1.09089846e-02 -9.43798646e-02 1.00804038e-01 -1.40303252e-02 -1.60277590e-01 -3.47288023e-03 6.92522973e-02 1.54086620e-01 -1.68137357e-01 3.01444874e-04 5.37509425e-03 -1.24872699e-02 8.72298988e-05 1.25099808e-01 1.17422350e-01 1.17563235e-03 1.51873425e-01 -2.80934460e-02 4.80976626e-02 -1.66479945e-02 -1.11081772e-01 5.31618744e-02 1.56226188e-01 1.48121268e-01 3.30081210e-03 -2.00793277e-02 -2.13255733e-02 -1.65192127e-01 1.55185908e-01 -2.01883987e-02 5.19107038e-04 -1.68536161e-03 1.33938268e-01 5.42143732e-02 1.63525373e-01 -1.73257198e-02 -4.19454724e-02 8.83727521e-03 1.21256478e-01 -4.85379323e-02 1.22485675e-01 -1.26460465e-02 -9.76348296e-03 -1.59469068e-01 3.36161698e-03 -3.72748636e-02 9.30517837e-02 6.84577879e-03 1.44257531e-01 -1.31552182e-02 9.10410881e-02 8.91721696e-02 -1.15345351e-01 -8.72235298e-02 -1.67536754e-02 2.49677561e-02 -3.19064111e-02 -5.26021002e-04 -1.14207648e-01 2.25107255e-03 -3.31772268e-02 8.24939609e-02 -7.20799640e-02 9.69686136e-02 -7.24967895e-03] Cos Similarity tf.Tensor(-0.12159889, shape=(), dtype=float32) (128,) (128,) [ 9.30840895e-03 -5.13704456e-02 5.15669286e-02 2.35684253e-02 -2.95105334e-02 -1.09583966e-01 2.25216039e-02 -1.82320714e-01 1.46453837e-02 -1.97738223e-03 4.38548923e-02 6.07139943e-03 7.32259592e-03 -1.85046613e-01 1.08999349e-01 1.49509192e-01 2.94471742e-03 1.57719031e-01 1.50616810e-01 -1.27634883e-01 -1.20072350e-01 -1.41560644e-01 -1.04289114e-01 -2.91281082e-02 -1.03716203e-03 4.49623214e-03 1.17906213e-01 1.50750857e-03 -8.49855393e-02 -9.45926458e-02 -1.20203085e-02 1.18987858e-01 9.98274237e-03 -1.00220656e-02 2.36786269e-02 -4.91805421e-03 1.99931744e-03 1.60775725e-02 -7.22201681e-03 7.03398734e-02 1.89985916e-01 -8.94056502e-05 -4.63595288e-03 -3.10842041e-03 1.32447228e-01 -2.08073437e-01 -1.77902073e-01 1.14438720e-02 8.27416778e-03 8.36279709e-03 8.45653750e-03 -3.70269263e-04 -1.54374000e-02 4.87031415e-03 -9.13638342e-03 -1.95803051e-03 1.38015926e-01 1.55612722e-03 4.45986807e-04 -1.43438550e-02 -2.02915803e-01 1.47803336e-01 1.38848983e-02 -1.67055819e-02 -7.02123418e-02 1.70281306e-01 -2.15406716e-02 1.37421846e-01 -2.10264493e-02 -1.73001587e-01 1.23928912e-01 4.97282541e-04 3.39728524e-03 1.15962988e-02 -2.82811727e-02 9.59323719e-03 7.61688426e-02 -1.17814265e-01 2.80888402e-04 -2.03083619e-01 -4.24135709e-03 7.29161082e-04 -1.86432712e-03 -1.21302359e-01 8.53663236e-02 -3.60736139e-02 5.75895198e-02 6.92375237e-03 -1.33224986e-02 -1.98264688e-01 -2.00543836e-01 6.97765797e-02 -1.60011686e-02 1.36508178e-02 2.24099681e-03 -8.33556876e-02 -4.28352840e-02 3.02989571e-03 -2.29658233e-03 -1.34878233e-02 -1.36151820e-01 1.08242240e-02 5.79010770e-02 1.18461646e-01 -8.06285255e-03 -1.17770415e-02 -1.51889563e-01 2.37313285e-02 5.57160238e-04 -5.86589463e-02 -1.16785057e-01 -1.31498352e-01 -9.44713689e-03 -1.91811234e-01 2.76863500e-02 -1.69896157e-04 -1.23238988e-01 -1.47706829e-02 -1.06914349e-01 5.84695023e-04 -2.68780300e-03 2.02834353e-01 1.75286010e-02 -9.38687474e-03 1.47209018e-01 2.07371190e-02 1.02569051e-02 -6.70753373e-03] [-0.00065593 -0.05795219 0.07055736 0.02253661 -0.02923316 -0.10722238 0.01950851 -0.18132521 0.01478409 0.00100461 0.02698803 0.00687802 0.01141275 -0.1844198 0.09698545 0.14002977 0.00334018 0.15099844 0.14387566 -0.1253704 -0.11430051 -0.13986158 -0.09959994 -0.03101088 -0.0014761 0.0057177 0.14507788 -0.00029914 -0.0817789 -0.09734485 -0.00670475 0.12708664 0.00783913 -0.00889814 0.02110775 -0.00270795 0.00135057 0.00847201 -0.00830186 0.06828199 0.19042565 -0.00037469 -0.00304941 -0.00764185 0.127159 -0.2065725 -0.17810892 0.01169646 0.01028613 0.00585267 0.00753314 0.00079821 -0.01500128 0.00332985 -0.00913735 -0.00201878 0.13063397 0.00190731 -0.00098318 -0.01447517 -0.20179568 0.13928483 0.01596144 -0.01794813 -0.07178474 0.1672527 -0.02402172 0.14527877 -0.02486625 -0.17094983 0.11524888 -0.01103272 0.00117611 0.01204239 -0.0215085 0.00906037 0.07088853 -0.1286459 -0.00128514 -0.20215455 -0.0044735 0.0029117 -0.00460999 -0.1330405 0.07623459 -0.04114478 0.05670097 0.00513493 -0.01337684 -0.19829512 -0.20117716 0.09251526 -0.0160142 0.01462944 0.00309157 -0.08273096 -0.04252259 -0.00731928 -0.00327633 -0.02375516 -0.13548242 0.01471821 0.05399702 0.11851303 -0.00651416 -0.0253437 -0.15670161 0.0218674 0.00294219 -0.05894693 -0.10953489 -0.12578578 -0.00846124 -0.19427714 0.03572085 -0.00382238 -0.11759794 -0.01313561 -0.11107403 0.00027936 -0.00452612 0.21086477 0.01140499 -0.01120995 0.15173267 0.02047522 0.008889 -0.00681075] Cos Similarity tf.Tensor(0.997765, shape=(), dtype=float32) (128,) (128,) [-2.25228652e-01 7.07665924e-03 -3.73324826e-02 1.10375918e-02 1.50123583e-02 -1.46983685e-02 6.32257164e-02 1.58822045e-01 -1.10086268e-02 1.40743917e-02 5.11703156e-02 3.12184170e-02 3.10990661e-02 1.69201985e-01 1.56648636e-01 -1.31323459e-02 2.22586580e-02 6.63474901e-03 -1.39258429e-01 5.98669387e-02 4.09790464e-02 -5.68640120e-02 -4.46425565e-03 1.29917681e-01 3.88673693e-02 1.95745975e-02 1.84333071e-01 -1.37882642e-02 1.46175385e-01 3.64705287e-02 1.71796620e-01 2.11641252e-01 4.88067418e-03 2.93155666e-02 1.59109995e-01 5.04264198e-02 2.67057046e-02 -6.44282103e-02 -3.51617602e-03 2.70923949e-03 -1.76445972e-02 -9.85099189e-03 5.30084874e-03 -3.60084735e-02 1.13096684e-01 -1.60514355e-01 6.58054487e-05 2.29186621e-02 -3.03721777e-03 -4.28910879e-03 1.39230695e-02 9.41347424e-03 1.28206778e-02 1.18503468e-02 6.00074092e-03 2.96909697e-02 2.09593866e-02 1.13002565e-02 6.54577883e-03 2.50014663e-02 -4.03585695e-02 -6.68617785e-02 -6.85615242e-02 1.06302137e-02 -8.52678716e-02 -1.29426435e-01 -7.36698858e-04 -3.44807170e-02 4.32018051e-03 2.34576434e-01 9.10372511e-02 1.46544173e-01 7.53382873e-03 2.02480657e-03 1.88559964e-02 6.89328415e-03 -1.72269300e-01 -1.06439717e-01 -7.95721542e-03 -1.26674920e-01 -5.41799178e-04 9.47039202e-03 -8.75545759e-03 4.03044298e-02 1.03737833e-02 1.73366889e-01 -2.12640613e-01 8.54368089e-04 -2.43189419e-03 1.31077422e-02 1.97817221e-01 6.83166385e-02 8.68338253e-03 1.15357507e-02 2.66317967e-02 -1.51969805e-01 -2.30237972e-02 1.43541217e-01 4.69823368e-03 -2.15989694e-01 5.13200089e-02 8.16273019e-02 -2.00303480e-01 1.40731260e-01 6.78647636e-03 -2.56630406e-02 1.93068497e-02 -2.62445747e-03 -7.16799987e-05 -5.92656806e-02 -4.73701619e-02 4.80113290e-02 4.01557870e-02 6.20500557e-02 -4.79525216e-02 -2.44354948e-01 -2.28523269e-01 2.79071424e-02 6.63686991e-02 2.96034534e-02 -2.78040487e-03 4.27270606e-02 2.35655811e-02 -7.71245454e-03 -7.73640200e-02 -8.45941599e-04 -1.35295521e-02 -9.47080378e-04] [-1.36854693e-01 -1.01156011e-01 1.83823090e-02 1.15922943e-01 -3.12846713e-03 -5.41403629e-02 8.19909871e-02 9.89443883e-02 -2.97297514e-03 8.91922449e-04 7.39129037e-02 1.20875798e-02 1.02136424e-02 4.72993702e-02 1.38025105e-01 1.12699941e-02 1.48474276e-02 4.25437540e-02 -2.27809418e-02 7.81757012e-02 -1.30776137e-01 6.34455383e-02 -7.87023082e-02 1.66812584e-01 2.06938330e-02 -3.00409272e-03 5.73892258e-02 -5.66200633e-03 1.67680651e-01 1.22128978e-01 -9.50336754e-02 1.98475346e-01 -6.73741149e-03 1.52435002e-03 1.15576811e-01 -8.51144549e-03 3.73256323e-03 -1.27077222e-01 6.25659944e-03 -4.46451036e-03 -1.53475821e-01 -3.70104238e-03 7.59248273e-04 -2.60391794e-02 6.42921329e-02 -2.13210270e-01 -8.99277162e-03 1.60771720e-02 1.59992953e-03 -3.24202352e-03 1.59801729e-02 1.02330483e-02 2.68085813e-03 2.82326364e-03 9.76735260e-03 2.53515095e-02 -8.00317004e-02 8.31461232e-03 6.43324107e-03 1.42501276e-02 -3.80879268e-02 -8.13205391e-02 -1.10142887e-01 4.13190294e-03 5.97393103e-02 1.35459065e-01 -1.80054060e-03 -1.56187247e-02 -8.85618012e-03 1.78510249e-01 -1.04743578e-01 2.03632135e-02 5.79469837e-03 -1.24527505e-02 7.22159818e-03 -1.31635657e-02 -1.93434820e-01 -1.65770307e-01 -2.65721022e-03 -1.49579227e-01 1.24140913e-02 7.25377770e-03 -3.52992467e-03 -1.70417532e-01 1.58110708e-01 1.88997999e-01 -1.19983032e-01 6.70895400e-03 -5.21711819e-03 -1.83812723e-01 2.02873409e-01 -6.88563809e-02 -1.66357961e-02 1.09233474e-02 1.29641173e-02 -1.39859885e-01 -1.76205784e-01 -4.07833681e-02 5.72300935e-03 -1.69906631e-01 2.28584595e-02 -7.71819055e-02 -1.59441099e-01 -2.28201002e-02 7.89953489e-03 -1.85185727e-02 5.28482720e-02 1.85192609e-03 -3.76131176e-03 1.57219499e-01 -1.26007199e-01 8.97044092e-02 2.07907204e-02 3.41260247e-02 -3.72670381e-03 -2.02503160e-01 -8.86832457e-03 2.12703850e-02 2.17240229e-01 6.05172897e-03 1.21408878e-02 4.62259911e-02 2.13714819e-02 4.02862951e-03 1.43056035e-01 2.27451604e-02 4.74111959e-02 -1.23852282e-04] Cos Similarity tf.Tensor(0.57278717, shape=(), dtype=float32) (128,) (128,) [ 0.13283311 0.06713893 0.07715906 0.14535327 0.00618067 -0.01436121 0.09695591 0.16225912 -0.02972716 -0.00374771 -0.00172009 0.02802635 0.01700792 0.0694755 0.12778644 -0.15459207 -0.00046366 -0.14127469 -0.12758866 -0.04362418 -0.02833295 -0.16776274 0.11201677 -0.05341814 0.01800527 0.00778048 0.09030444 -0.00341503 -0.07110707 0.13045509 -0.13367918 -0.04265419 -0.02864042 0.01679707 0.13418056 0.05143585 0.01422937 -0.07284272 -0.02215325 -0.00484201 -0.10786046 0.00725333 0.00843901 -0.00531777 -0.19042175 0.10473898 -0.0305568 0.00088997 0.01204276 0.02421471 0.01804282 0.010439 0.03641384 0.00570144 0.03251174 0.0215781 0.1900621 -0.00649845 0.01481145 0.02241518 -0.02979259 -0.13314115 0.09002264 0.02361195 0.19038895 -0.10717072 -0.00287733 -0.06022731 0.01987362 -0.11404026 -0.11518033 -0.08176208 0.00978169 0.01672304 0.0125627 0.02511734 0.12357964 -0.04219894 0.00214944 0.17287697 0.01770347 -0.00361816 0.00453628 -0.1538575 0.14567721 -0.17682187 -0.09129138 0.01354963 0.01442864 -0.15023011 0.15001279 0.17813995 0.04134932 0.02362059 0.01130641 0.01593323 0.02454278 -0.1432654 0.00789407 0.12506498 0.17057565 0.17519413 0.06900397 0.11563896 0.01734832 -0.01033936 -0.07950693 0.00511536 0.01858237 -0.16144694 0.18484114 0.07499962 0.0103896 -0.09737918 -0.05526817 -0.12243865 -0.13304444 -0.00832234 0.14965537 -0.00595179 -0.01251692 -0.09292302 0.02824245 0.01824223 -0.10539331 0.06986217 -0.00560908 0.00360574] [ 0.17499688 -0.0887197 0.06573778 0.18582223 -0.01329139 -0.00550495 -0.05263899 0.16272484 -0.03189734 -0.00037911 0.02808279 0.01188299 0.00090812 0.01954252 0.11905207 -0.17613445 0.00162546 -0.13298716 -0.16032137 0.00953877 0.09560969 -0.11727846 0.02005576 -0.11727803 0.00157577 0.00500293 0.0359158 -0.00383859 0.09839647 0.12515675 -0.15376033 -0.15566476 0.04150243 0.02331896 0.10128224 0.04093176 -0.00786499 0.09920408 -0.00898856 -0.13755901 0.00214786 0.01191287 0.00115149 0.01132796 -0.14338514 0.12797056 -0.09453082 0.02795706 0.01118675 0.01024296 0.00877606 0.0065821 0.02391562 0.01266659 0.01860333 0.00484463 0.12959875 -0.0188565 0.01377105 0.00586617 0.0525961 -0.11977022 0.14790662 0.00805489 0.18058205 -0.16789581 0.02412311 -0.1204607 0.00999757 -0.0048308 -0.00317391 -0.17506304 0.0150596 0.00837534 0.00973681 0.03187615 0.15989521 -0.08838059 0.00050967 0.08073573 -0.0005841 -0.00071394 0.00715903 -0.16171615 0.07870065 -0.01265243 -0.13739522 0.01671638 0.00431594 -0.11493784 0.15688534 0.12591593 0.025089 0.00283556 0.01936023 -0.13908342 -0.00540542 -0.18527226 0.0078784 0.15522702 0.12701878 0.01835903 0.11882369 -0.1400561 0.00795694 -0.00699787 0.11045485 0.0018404 0.00145459 -0.0081923 0.18828878 -0.00447282 0.02149104 -0.14612979 0.03702534 -0.06694897 -0.10688884 -0.01690345 0.11996499 0.02417866 0.00122666 -0.13495052 0.03242467 0.00357678 -0.1675526 0.10277009 0.00866851 -0.00161983] Cos Similarity tf.Tensor(0.7354759, shape=(), dtype=float32) (128,) (128,) [ 6.81534857e-02 1.62665948e-01 3.66275609e-02 -1.76616281e-01 -4.70867427e-03 1.11785397e-01 -4.51994389e-02 -8.15438293e-03 -4.16310242e-04 -1.05448847e-03 1.35876819e-01 -1.06036232e-03 -2.30267714e-03 -7.85668716e-02 1.39311299e-01 1.37711376e-01 8.20194092e-03 2.16275722e-01 -3.23992874e-03 4.21581827e-02 -3.71847525e-02 -1.57084521e-02 1.24814147e-02 -1.09275915e-01 -8.40523094e-03 3.86167364e-03 8.96041021e-02 6.49291975e-03 -1.94618721e-02 1.90627366e-01 -1.12170905e-01 2.05176234e-01 2.29265671e-02 8.97133071e-03 -8.75681937e-02 1.82212573e-02 1.28921373e-02 7.90030360e-02 -1.84635613e-02 -5.84500171e-02 5.40169328e-03 -5.52183075e-04 7.16149015e-03 6.47783512e-03 1.40644103e-01 -9.81605947e-02 5.57326041e-02 5.71688032e-03 1.83837209e-02 1.57179348e-02 5.74578857e-03 -1.85499561e-03 1.11684809e-02 9.68539994e-03 1.10775484e-02 1.82456542e-02 4.57902960e-02 1.80662684e-02 9.27185547e-03 -1.02117127e-02 8.17642286e-02 1.16552860e-01 1.94528475e-01 1.68224666e-02 8.15487802e-02 -8.94458145e-02 -9.32317809e-04 -2.50874460e-02 3.88704543e-03 1.10590428e-01 -2.83333957e-02 -7.75830373e-02 -4.38603712e-03 1.06967706e-02 4.97466512e-03 2.84085181e-02 -1.22987978e-01 9.68688820e-03 1.94438489e-03 1.13980636e-01 -3.22541199e-03 -5.76716429e-03 7.52404705e-03 1.55591324e-01 -2.02707559e-01 1.65065676e-01 1.24608025e-01 7.76853366e-03 -2.20022560e-03 -6.63786829e-02 5.68266511e-02 -1.94651857e-01 1.14647532e-03 1.51327057e-02 -4.63024154e-03 4.51113917e-02 2.26079226e-02 -1.49073184e-01 -5.59293479e-03 -1.33669361e-01 1.94951653e-01 8.31897259e-02 -1.59905806e-01 1.77085191e-01 2.05459088e-04 6.85459189e-03 1.95625007e-01 -8.44979938e-03 8.19590036e-03 -2.12306499e-01 -1.93382382e-01 1.76464885e-01 2.59287991e-02 -5.80654033e-02 1.34913214e-02 6.52890205e-02 -2.49947403e-02 -1.68149378e-02 1.14361659e-01 -5.46397921e-03 1.83916166e-02 -2.90479586e-02 2.10992843e-02 1.68951054e-03 -2.10817903e-01 1.82722397e-02 2.80036649e-04 -3.02429032e-03] [ 4.98936288e-02 -1.35671616e-01 4.30598781e-02 -2.03503013e-01 -1.30834216e-02 3.27709056e-02 -1.76781729e-01 -1.26745075e-01 3.30273062e-03 8.26856645e-04 -1.91478714e-01 -1.52692785e-02 -1.50222676e-02 -6.11321963e-02 5.06785214e-02 2.08789602e-01 1.59569867e-02 1.20511942e-01 1.24984637e-01 1.49520561e-01 3.63251404e-03 9.30939540e-02 -1.23524189e-01 -8.07859004e-02 8.78013670e-03 2.93575902e-03 -5.14875501e-02 9.92892869e-03 -2.27976739e-02 1.68376639e-01 -1.59025669e-01 8.11227411e-02 -1.27910553e-02 -7.76148262e-03 1.63743198e-01 7.87618198e-03 -3.88860982e-03 1.68216869e-01 -1.50141856e-02 -1.38043305e-02 -7.34019801e-02 4.46966570e-03 5.71813202e-04 1.50619606e-02 -4.99153510e-03 -2.29985371e-01 4.11641598e-02 1.11325346e-02 1.21228639e-02 -1.01518640e-02 1.08909467e-02 -1.75583793e-03 -2.11184379e-02 7.31014647e-03 7.88330846e-03 -1.92066887e-03 1.33436903e-01 7.27251219e-03 2.12816577e-02 -6.17335970e-03 -9.77311805e-02 1.32393524e-01 -8.53899345e-02 6.58693304e-03 1.20797917e-01 -2.01808646e-01 2.88788951e-03 -3.52898519e-03 -9.79396235e-03 -4.38820459e-02 -5.15899807e-02 -3.03976107e-02 -2.05066812e-04 1.01145105e-02 -6.06460613e-04 2.99980715e-02 1.65479463e-02 -1.89948216e-01 -9.12513211e-03 -6.59143776e-02 8.40758625e-03 -1.30600072e-02 1.10312225e-02 -9.86885130e-02 -1.87518835e-01 1.62101641e-01 1.09011501e-01 9.71090887e-03 2.72433925e-03 4.76952307e-02 7.28841200e-02 -1.67361513e-01 1.62916910e-02 1.99696384e-02 -2.17274693e-03 -3.75737846e-02 4.57194261e-02 1.55353278e-01 -9.60850157e-04 -4.01527770e-02 -1.89995527e-01 5.64523898e-02 7.85479546e-02 -4.96274084e-02 -5.08055370e-03 2.20178664e-02 1.72780335e-01 -2.83655128e-03 1.54955648e-02 -1.63051173e-01 -4.15951237e-02 1.00477941e-01 -6.09395839e-03 -5.61589822e-02 -5.30474298e-02 1.06786057e-01 -5.84062189e-02 -1.11935333e-04 1.86711922e-01 -3.32810692e-02 3.64048081e-03 -9.58472714e-02 3.20127197e-02 -1.55187789e-02 -1.92331374e-01 1.01713076e-01 -1.55378906e-02 1.13686867e-04] Cos Similarity tf.Tensor(0.3817578, shape=(), dtype=float32) (128,) (128,) [-0.03134512 -0.08052389 0.04334343 0.11423828 -0.02855448 0.00951906 0.14479902 -0.16198663 0.01287403 0.00611772 0.07207376 0.01304143 0.01648417 -0.17822213 0.13144962 -0.00123588 -0.00063077 0.08722627 -0.16741619 -0.15462252 0.1671597 0.08604796 -0.01758482 -0.1850873 0.00957239 0.00967942 0.04259579 0.01811616 -0.09269197 0.08711758 0.16113538 -0.01494079 0.01069714 0.00994549 0.16639239 0.01101772 -0.0058451 0.17662366 0.00408508 0.12857743 -0.15817319 0.00078592 0.00563796 -0.01495017 0.06511603 -0.18302298 0.10118435 0.01748722 0.01706078 0.00539751 0.00439064 0.00567157 0.00121431 0.00696866 0.00085018 -0.00684357 0.16350329 0.00507573 0.00224423 -0.00058248 0.08532639 0.15867656 -0.0429613 -0.00321467 -0.1811779 0.10564916 0.00053919 0.13211735 -0.01259286 0.17458467 -0.10473651 -0.1554612 -0.00228799 0.00315799 -0.00976622 0.01328333 0.1511012 -0.1643534 -0.00269927 -0.03203923 0.00514374 0.01935023 0.00028353 -0.08989551 0.03726328 0.18930422 -0.06273388 0.00471032 -0.00593011 -0.07936282 -0.15698609 0.09248314 0.00952159 -0.00441101 0.0031876 -0.13124956 0.09702741 -0.16587865 0.00827051 0.00667933 0.15348683 0.11253129 0.07100464 -0.00101133 -0.0116665 0.00143268 -0.07431985 0.02275869 0.00705129 0.10253421 -0.1325916 0.01774808 -0.00100371 0.01890902 0.0088806 -0.03252919 -0.14028983 -0.00387162 -0.15448451 0.00685562 -0.01143365 0.19465907 0.00035897 -0.01679119 -0.09049831 -0.00813757 -0.00019754 0.00345637] [-6.97273239e-02 -8.94274861e-02 1.92494541e-02 1.26914695e-01 -1.21242274e-02 3.99035774e-03 1.65307239e-01 -8.04945901e-02 1.37203122e-02 9.76449717e-03 9.62470472e-02 1.13760345e-02 1.39601696e-02 -1.74737751e-01 1.22738615e-01 3.62313278e-02 -5.72984619e-03 7.17929155e-02 -1.78774118e-01 -1.62087411e-01 1.67270675e-01 9.28997099e-02 -6.72574490e-02 -1.90113857e-01 2.05715150e-02 1.05526047e-02 4.53032143e-02 2.42140032e-02 -9.79625210e-02 5.39015047e-02 1.62240624e-01 -4.90385480e-02 6.29721535e-03 2.70422711e-03 1.79661170e-01 1.30773922e-02 3.49258864e-03 1.81730792e-01 4.75650001e-03 1.34218410e-01 -1.51703209e-01 1.40793296e-03 3.95254092e-03 -1.57195404e-02 7.61413947e-02 -1.87788039e-01 1.06185913e-01 6.17843866e-03 1.42900785e-02 7.94052240e-03 4.53451741e-03 4.05617029e-04 2.69718422e-03 7.86090363e-03 1.10001666e-02 -5.08424127e-03 1.51254907e-01 4.67663491e-03 -1.42557742e-02 6.46730931e-03 1.45959303e-01 1.74517050e-01 -5.21444064e-03 -1.34235155e-03 -1.76255077e-01 7.99871981e-02 -3.83735824e-05 1.31243736e-01 -1.07355947e-02 1.80879712e-01 -8.18620697e-02 -1.62156701e-01 9.03433375e-03 -8.83178262e-04 -9.11907200e-03 7.09958561e-03 9.11180973e-02 -1.61541790e-01 -1.13547896e-04 -3.89908738e-02 4.56411717e-03 2.84775663e-02 -1.87402882e-04 -5.94366007e-02 8.75250474e-02 1.90109611e-01 -6.04099408e-02 7.41942925e-03 -8.55897367e-03 -1.02466039e-01 -1.37180656e-01 7.39095658e-02 -7.93577824e-03 -7.65230041e-04 5.29407803e-03 -7.15896264e-02 9.76880789e-02 -1.55386806e-01 1.20135760e-02 7.60792522e-03 1.74200490e-01 1.23072192e-01 5.02848364e-02 1.19361635e-02 -1.16154877e-02 -4.18557506e-03 -6.29799962e-02 2.05580704e-02 -1.23430917e-03 1.39397666e-01 -1.12232290e-01 1.18431989e-02 5.70182549e-03 4.27378006e-02 1.61495004e-02 -5.04069999e-02 -1.52281106e-01 9.99038480e-03 -1.39548555e-01 1.37959030e-02 -1.27216112e-02 1.95821688e-01 3.82271013e-03 -1.27357794e-02 -7.97614455e-02 6.47627236e-03 -5.39040891e-03 7.69780995e-03] Cos Similarity tf.Tensor(0.9784619, shape=(), dtype=float32) (128,) (128,) [-3.11545916e-02 -1.71001449e-01 -1.00024402e-01 -1.02663487e-01 -2.82022562e-02 5.95980994e-02 6.20931946e-02 -6.20130375e-02 1.15345446e-02 -6.21058792e-03 9.39969048e-02 -2.76795123e-02 -1.59233529e-02 -2.02845424e-01 -7.08341599e-03 1.60450578e-01 -1.22390240e-02 1.29818723e-01 8.28951448e-02 1.74903125e-01 1.07894041e-01 -1.47931802e-03 -2.95029283e-02 -7.41611049e-02 -8.98935460e-03 -1.36298026e-04 -7.15237483e-02 -7.46789342e-03 -4.36960496e-02 8.70618895e-02 9.32960659e-02 -2.66317446e-02 -5.17981639e-03 -2.36243214e-02 -1.48831993e-01 -4.30592196e-03 -8.02428182e-03 1.80722743e-01 -1.63499755e-03 -1.25970796e-01 1.81357518e-01 -2.44333409e-03 2.54402962e-03 -2.67409167e-04 -9.11984742e-02 -2.41569743e-01 -1.60870984e-01 -3.61509481e-03 8.86931363e-03 2.12044062e-04 6.93528447e-03 6.86041894e-04 -1.85185913e-02 -1.01978937e-03 -2.82649472e-02 -5.92650333e-03 -1.71811685e-01 -3.65328835e-03 1.36512169e-03 -2.42897831e-02 -8.84176698e-03 1.19657688e-01 -8.42459351e-02 -2.93770600e-02 -5.76498061e-02 5.97101599e-02 -3.49379070e-02 4.14919900e-03 -3.24777029e-02 -4.67624925e-02 -1.66232988e-01 -1.33059751e-02 2.79851607e-03 7.61599001e-03 -2.41651665e-02 3.72834690e-03 1.20763943e-01 -1.22530133e-01 -2.94748391e-03 -1.59761429e-01 -6.66143233e-03 1.21620804e-01 -6.23379461e-03 -1.00021496e-01 2.05513500e-02 -1.55857176e-01 -1.39387473e-01 -6.65543182e-03 -1.30942436e-02 -1.29430622e-01 -1.77031115e-01 1.08571112e-01 -2.54852753e-02 3.50345043e-03 -1.95775256e-02 1.19945399e-01 1.71708614e-01 9.12337899e-02 3.33861099e-04 -1.52735561e-02 -1.48114339e-01 6.25920817e-02 5.47898225e-02 2.22594682e-02 -1.34193655e-02 -2.29880083e-02 4.77261469e-02 4.96154055e-02 -2.29815003e-02 1.39190198e-03 5.86796328e-02 -7.89451003e-02 -1.72790233e-02 -1.97912350e-01 5.95198087e-02 5.87264039e-02 4.46081646e-02 -2.94227782e-03 -2.12522253e-01 -2.01387797e-02 -1.28717883e-03 -1.53194502e-01 7.42095197e-03 -8.61132424e-03 1.90409780e-01 -2.39495374e-02 1.89173967e-01 -1.31641729e-02] [-7.48256221e-02 -1.53121009e-01 3.33169475e-03 -1.40025690e-01 3.50969541e-03 -7.21170604e-02 1.62172109e-01 2.16562852e-01 1.41257588e-02 1.34681992e-03 1.59744203e-01 -7.35449977e-03 -1.94328371e-02 1.34977579e-01 9.07328427e-02 1.11484610e-01 -7.45457504e-03 1.49008930e-01 1.91104576e-01 5.26242657e-05 5.95266819e-02 -8.76735449e-02 3.81630547e-02 -4.03819531e-02 6.38377899e-03 6.89342711e-03 1.70632705e-01 -1.24131693e-02 -1.02734119e-01 2.45713275e-02 1.22910947e-01 -1.30595237e-01 -9.95732099e-03 -3.62484939e-02 -2.07270056e-01 -1.25550264e-02 6.04518875e-03 1.33201405e-01 -2.02326812e-02 2.73204818e-02 1.88436359e-01 1.07240546e-02 -1.33973244e-03 1.04610780e-02 1.47525653e-01 -1.03698283e-01 -8.09316953e-06 -8.76617711e-03 -5.15879039e-03 4.95930947e-03 5.81694627e-03 1.37599157e-02 -7.11054448e-03 7.37854789e-05 -1.12302825e-02 1.69064961e-02 -7.75737166e-02 -2.03920715e-02 -2.83440598e-03 -1.25730364e-02 -4.71874373e-03 7.30767846e-02 1.06827542e-01 -7.88317341e-03 -2.46964283e-02 1.65140286e-01 -1.46213975e-02 -1.32639764e-03 -1.44691323e-03 -1.94607414e-02 -9.57748070e-02 6.73212623e-03 6.08282629e-03 1.95701551e-02 -1.91847067e-02 -1.22034168e-02 9.81543735e-02 -9.16149616e-02 -2.77240970e-03 4.34504487e-02 -1.50544327e-02 -6.12330390e-04 9.66014341e-04 -6.36053011e-02 -1.64414763e-01 -1.99308440e-01 -4.33128066e-02 1.97733170e-03 -1.00321546e-02 -1.20412469e-01 -2.08631650e-01 1.77323028e-01 -2.13329978e-02 1.06633175e-02 2.22923141e-03 1.83458313e-01 -2.11970434e-01 9.65503678e-02 9.14466009e-03 1.05944313e-01 7.36421794e-02 -7.20468834e-02 -9.93838832e-02 -7.29152113e-02 -1.05818547e-03 -2.67687850e-02 -8.54042917e-02 2.58724056e-02 -1.44134099e-02 -5.47083840e-02 -5.49337231e-02 -8.61861371e-03 2.52492633e-03 -1.17035851e-01 1.27622113e-01 8.94248560e-02 -1.90301444e-02 -5.05804084e-03 -1.62248135e-01 -3.98973096e-03 1.96665269e-03 -1.18342310e-01 -5.38301980e-03 -2.33014002e-02 2.27323234e-01 -3.89017016e-02 1.09783463e-01 -1.10749027e-03] Cos Similarity tf.Tensor(0.48241746, shape=(), dtype=float32) (128,) (128,) [ 2.07044229e-01 -1.31173000e-01 -2.81828077e-04 -2.05806315e-01 1.08077377e-03 6.68245032e-02 -1.58609167e-01 1.20878294e-01 -9.98362433e-03 8.19030160e-04 9.80445743e-02 -2.25170273e-02 8.82641063e-04 8.94095525e-02 7.02886358e-02 -1.71002150e-01 -1.75112039e-02 7.06411898e-02 9.40014049e-02 -1.70894369e-01 6.91562891e-02 1.16341516e-01 1.30024552e-01 -3.85123082e-02 -3.12575861e-03 7.26592634e-03 2.39192888e-01 3.80257424e-03 -2.16924742e-01 -5.28683560e-03 8.16637054e-02 -2.09876057e-02 4.09269845e-03 -2.60351934e-02 -1.67319011e-02 -1.78829208e-02 -1.44210982e-03 -5.88874798e-03 -6.74463995e-03 -2.15443037e-02 1.94593236e-01 -8.04361887e-03 -1.18200444e-02 -1.13405641e-02 2.14994863e-01 -1.03083566e-01 -8.51355901e-04 6.16806466e-03 1.31554820e-03 2.29989248e-03 1.46672176e-03 2.26878049e-03 -9.56610590e-03 2.62705912e-03 -1.21119879e-02 1.37347085e-02 3.22960541e-02 -7.57465605e-03 5.10339066e-03 -5.54171018e-03 -8.27367157e-02 1.52391955e-01 1.95921063e-01 7.37229129e-03 -2.58728527e-02 1.49752289e-01 -1.37210861e-02 1.96046725e-01 -2.25000695e-04 -1.84257969e-01 -2.08295748e-01 -6.33108392e-02 -1.24463602e-03 -2.15684203e-03 -2.36491337e-02 7.20699085e-03 1.21501395e-02 5.76277301e-02 4.68938891e-03 1.46379024e-01 -8.10684916e-03 -4.27066498e-02 8.99898447e-03 -1.72565848e-01 1.60998806e-01 3.35790077e-03 7.78757334e-02 7.80694187e-03 -7.73738651e-03 -5.98094128e-02 -7.37166926e-02 -2.36507393e-02 -2.73462920e-03 9.39004123e-03 -9.12519079e-03 6.96904212e-02 4.54511195e-02 4.54125106e-02 1.39948970e-03 1.42500356e-01 5.48175015e-02 -9.64024588e-02 2.80530807e-02 -1.30744904e-01 -5.58996573e-03 1.57507532e-03 -8.57418031e-02 2.91228797e-02 -9.47880931e-03 -2.23326340e-01 6.03094883e-02 -1.23523362e-01 -8.97725695e-04 3.96859571e-02 -1.47285182e-02 3.59694548e-02 -9.56230052e-03 -3.22589874e-02 7.03489780e-02 -1.91199221e-02 9.63203888e-03 1.25963107e-01 -2.03371234e-03 -3.13681811e-02 -1.67775005e-01 -1.59198511e-02 -9.32843834e-02 -8.62411514e-04] [ 0.1325222 -0.05677497 -0.01362078 -0.20821705 -0.00544746 0.06004386 -0.18165064 0.04450747 -0.01261103 -0.00439853 -0.09781124 -0.02236127 -0.00071388 0.0265141 0.10295164 -0.07361765 -0.01142919 0.0534284 0.09641036 -0.1280381 0.02423753 -0.03579559 0.16626559 -0.10433895 -0.0049641 0.00269423 0.2169062 -0.00483566 -0.18433297 0.08285151 -0.13785857 0.06781888 0.00381235 -0.0228482 -0.03979325 -0.00957998 0.00065827 -0.13068873 -0.00445827 -0.02148536 0.12790139 -0.01012139 -0.01311753 -0.00435882 0.15198612 0.0155534 0.0047336 0.00894265 0.00411475 0.01643596 0.00252669 0.00295223 -0.00860715 0.00549927 -0.00401393 0.0127043 -0.05738702 -0.00125338 0.00711578 -0.00739662 -0.0373908 0.13480003 0.1798133 -0.00094885 -0.13550584 0.19935314 -0.02186835 0.11166608 0.00067214 -0.18416287 -0.16875923 -0.04372925 -0.00091178 -0.00086259 -0.01737601 0.01098416 0.14125122 0.07538247 0.00526125 0.17034353 -0.01093029 -0.06095329 0.01087802 -0.16892867 0.03867423 0.12166302 0.13352498 0.00792262 -0.00814395 0.12151666 0.0100668 0.13306242 -0.00073837 0.00175568 -0.00755847 0.17767267 0.03680825 -0.12385975 -0.00070269 0.08481842 0.12569378 -0.11069449 0.07911348 0.1209249 -0.00441483 0.00135671 0.08751341 0.02503762 -0.00632793 -0.22542058 0.0998522 -0.15562178 0.00033699 -0.01172368 0.003751 0.07789079 0.04336637 -0.02836881 0.14867753 -0.01240651 0.01276321 0.10939655 0.00373995 -0.03389689 -0.19917169 -0.01578492 -0.04186936 0.00068114] Cos Similarity tf.Tensor(0.738819, shape=(), dtype=float32) (128,) (128,) [ 1.84130877e-01 2.44204085e-02 1.02130435e-01 -1.43717319e-01 -6.88684732e-03 -2.14266237e-02 3.07376366e-02 -7.24843815e-02 1.80714130e-02 8.94342840e-04 1.21193051e-01 -5.69445826e-03 2.50364859e-02 1.17405310e-01 6.90631568e-02 -1.42797068e-01 -2.46661901e-03 1.34149313e-01 2.95361541e-02 1.56969577e-01 -1.76175281e-01 3.96679826e-02 1.63865253e-01 2.99880691e-02 -1.07561443e-02 7.69193983e-03 1.52780086e-01 -3.91730992e-03 5.07217497e-02 6.35559857e-02 1.35983638e-02 -5.08701801e-02 1.88529510e-02 4.18281136e-03 -5.81374317e-02 1.36648687e-02 1.18169589e-02 5.86532205e-02 -1.77104585e-02 9.21475589e-02 2.09531397e-01 -1.24689713e-02 -7.70779978e-03 -2.32194574e-03 1.23652920e-01 2.11279050e-01 1.94422677e-01 -1.17404200e-02 8.63706134e-03 3.38240806e-03 -2.34438130e-03 5.56824682e-03 8.44155846e-04 6.43898547e-03 4.01639380e-03 9.10569448e-03 1.93797871e-02 -1.16940420e-02 1.73676538e-03 -1.56917218e-02 -1.48598373e-01 1.96439922e-01 1.83139756e-01 -2.00530980e-02 -1.85979754e-01 4.99253981e-02 -1.73283531e-03 -8.45940709e-02 -4.40639909e-03 1.85553148e-01 -5.83269037e-02 -9.56996903e-02 -8.37705936e-03 1.47244222e-02 -6.87250448e-03 5.21763088e-03 -8.84446651e-02 9.52646695e-03 -1.10885296e-02 2.21530795e-01 -8.56060628e-03 -2.30441405e-03 7.64706731e-03 6.16111308e-02 -3.02454289e-02 -1.62981480e-01 -4.42205109e-02 9.61636659e-03 -1.23553409e-03 -1.24476552e-01 8.55304226e-02 -3.04795615e-02 -8.58167931e-03 2.30818940e-03 -1.15835778e-02 1.99260667e-01 3.94534543e-02 1.28545612e-02 -1.54979047e-04 -1.57261893e-01 -4.45256301e-04 -6.42094985e-02 -2.00081155e-01 -9.13861860e-03 -2.70984462e-03 -7.37234624e-03 1.80888399e-01 1.08248871e-02 -1.03869252e-02 -6.81165466e-03 7.91890323e-02 -1.85778037e-01 -6.29146025e-03 8.55550244e-02 -6.91453964e-02 7.05636367e-02 1.89090028e-01 -3.42177972e-02 -1.85080379e-01 -2.28429530e-02 9.43312328e-03 7.70716136e-03 -1.18611166e-02 -1.55652547e-02 7.93921947e-03 -4.78518399e-04 -5.00477068e-02 -7.19960872e-03] [ 1.37191743e-01 -3.82370725e-02 1.60476170e-03 -2.01818362e-01 -1.38962017e-02 -1.33661432e-02 1.62569240e-01 4.99073155e-02 2.48126741e-02 3.22432886e-03 4.99181561e-02 -1.35567971e-02 -1.11162930e-03 -7.91932493e-02 4.04090844e-02 -6.06980696e-02 -1.21016602e-03 1.78907380e-01 1.17206238e-01 1.84552372e-01 -1.50285900e-01 6.48236200e-02 8.55609104e-02 -2.26538014e-02 -1.73361581e-02 8.82479828e-03 -6.45349920e-02 1.37758476e-03 -6.80012107e-02 6.11218847e-02 1.25836954e-02 4.37131673e-02 -1.55662773e-02 -1.05206789e-02 -6.46925271e-02 -1.38932262e-02 3.82732879e-03 8.69049206e-02 -2.34389119e-02 -8.74141008e-02 2.24071205e-01 1.89413521e-02 -9.05132014e-03 6.59034762e-04 2.77912039e-02 1.76502764e-01 2.03846961e-01 -6.19431445e-03 8.89205374e-03 2.40602754e-02 3.93349025e-03 -2.31330260e-03 -6.93433266e-03 1.21460324e-02 -8.38801172e-03 4.92895953e-03 -1.36538789e-01 -6.84751756e-03 7.86403427e-04 -1.60253979e-02 -1.39816016e-01 1.35118321e-01 1.09619938e-01 -5.78716490e-03 -1.41523376e-01 -1.80328429e-01 -3.50314472e-03 -7.09428713e-02 -1.62967462e-02 2.04484135e-01 -1.14705332e-01 -3.34968083e-02 -3.43617960e-03 1.65465474e-02 -1.87302902e-02 1.18075581e-02 -1.33912740e-02 7.17043430e-02 -1.45920366e-02 2.28754535e-01 -5.34562254e-03 -2.67651444e-03 1.47596281e-02 4.31263931e-02 -1.78910747e-01 -1.48772299e-01 3.06468103e-02 1.15921488e-02 -5.61163435e-03 -1.26522169e-01 6.10705651e-02 -1.65203780e-01 -7.53504131e-03 7.41046667e-03 -2.90093459e-02 2.17514247e-01 1.35395840e-01 -6.41778931e-02 -4.83328663e-03 -1.66217666e-02 -1.19297266e-01 -1.23255946e-01 -1.66276917e-01 1.27124265e-01 1.68481813e-04 2.89232004e-02 1.84068769e-01 -2.16070488e-02 2.91567692e-03 5.86848110e-02 6.56496659e-02 -1.80188134e-01 -6.80908607e-03 9.65899602e-02 -2.65922714e-02 9.00891647e-02 1.36998951e-01 -2.50265636e-02 -5.71588278e-02 -1.99623611e-02 3.25741954e-02 -1.00203030e-01 -3.65803670e-03 -4.30620648e-03 -1.06285438e-02 7.94780382e-04 -4.20835055e-02 -7.01552304e-03] Cos Similarity tf.Tensor(0.7446619, shape=(), dtype=float32) (128,) (128,) [ 0.14570704 0.02807709 -0.08771978 0.00507469 -0.02505563 0.10655702 -0.00942519 -0.01604285 0.00487579 -0.00959106 0.06596046 -0.00262252 0.01685865 -0.2332251 0.12523024 -0.01530898 0.00206324 -0.16869368 -0.0182838 0.07609942 0.0075675 -0.15884854 0.1589956 0.00828305 0.01158263 0.00404324 -0.07614286 -0.02485535 0.23413496 -0.16096562 -0.06903245 -0.09156141 0.01092584 -0.01402631 0.10266984 -0.03068315 -0.00690947 -0.17024048 -0.00592012 0.06471357 0.127587 -0.00122473 -0.00930141 -0.00942055 -0.1252801 0.10918025 0.05459131 0.00975729 0.01333684 0.00030192 0.0106166 0.00786892 -0.00760717 0.0052497 -0.00217153 0.00191308 0.24307184 -0.01654442 0.00734424 -0.00704744 -0.0296102 0.18454525 0.13005733 -0.03810575 -0.1494896 0.08117811 -0.01735553 -0.02626911 0.01234682 -0.01988207 -0.0372095 -0.02560422 0.00227868 0.00366374 -0.01461039 0.0044592 0.16616721 -0.0091645 0.00276982 -0.05554563 -0.00103083 0.01494285 -0.00545595 -0.06952867 -0.02269774 -0.09714609 -0.18044521 0.0106803 -0.00229411 0.13422824 0.07285409 0.01490095 0.0061447 0.00179568 -0.00967684 -0.01123844 0.0655065 -0.14637196 -0.00395843 -0.22635302 -0.08174306 -0.09400722 -0.05331465 0.20400283 -0.00775035 -0.01327389 -0.20667951 0.03007592 -0.008893 -0.20484872 -0.0619666 -0.06480598 -0.00776004 0.24978082 -0.03832325 -0.08074097 0.18636674 0.00434042 0.00215375 -0.0118903 0.00060581 0.00454382 0.00692393 -0.01002216 -0.02408387 0.05603847 0.12779132 -0.01618152] [ 7.63061196e-02 1.46891857e-02 1.17490301e-02 -1.69286117e-01 -2.22407598e-02 -7.35027939e-02 -3.20815295e-02 1.79244932e-02 1.47910668e-02 -1.07786292e-02 1.73652604e-01 5.48959291e-03 -7.88008887e-03 -1.86028078e-01 9.19944271e-02 9.39450711e-02 2.49924185e-03 -9.99421924e-02 -6.96596280e-02 1.61961257e-01 -1.61556587e-01 -1.48213044e-01 7.30049685e-02 6.60128891e-03 1.55563094e-02 9.24265478e-03 -1.27387539e-01 -1.45777930e-02 2.48331949e-01 -7.09495554e-03 -1.57938898e-01 -1.91714048e-01 9.12617985e-03 1.37568655e-04 2.15163067e-01 -6.63365200e-02 -1.04138833e-02 -1.65661559e-01 -4.02226392e-03 2.93774214e-02 7.90662542e-02 -3.04408628e-03 9.04392975e-04 -2.89484416e-03 -1.40120145e-02 1.05521984e-01 1.72656663e-02 1.80680063e-02 1.09692942e-02 3.25882784e-03 1.39123574e-02 3.39740235e-03 -3.75356671e-04 7.88873155e-03 6.80731423e-03 3.95185733e-03 2.08750874e-01 -1.24534322e-02 9.47994087e-03 2.51934258e-03 -7.00073615e-02 5.27392216e-02 1.17639229e-01 -2.42402870e-02 1.40090242e-01 2.21222974e-02 -8.33147299e-03 -1.48351133e-01 3.46722919e-03 1.30599543e-01 6.18201010e-02 1.51735410e-01 6.76436909e-03 5.21314144e-03 -8.83225445e-03 1.23003758e-02 1.15465119e-01 -2.86179539e-02 5.44417603e-03 -1.77786455e-01 8.17377400e-03 -1.46616800e-02 6.41084788e-03 -1.50594324e-01 1.13340802e-02 5.31063415e-03 -1.36323914e-01 6.26722071e-03 -5.07664355e-03 -8.51137564e-02 -6.62997738e-03 -1.02038682e-01 1.29463654e-02 5.53376414e-03 -6.21216139e-03 -1.74313262e-01 6.77124336e-02 -4.64397222e-02 -3.52057116e-03 -1.95548877e-01 -5.06801531e-02 -8.76807496e-02 -5.05788885e-02 2.14390039e-01 -7.94940442e-03 -2.49840133e-02 -1.93652377e-01 2.88921539e-02 5.90908667e-03 -2.22273201e-01 5.85343270e-03 1.24860993e-02 -5.86338632e-04 -3.60802701e-03 -2.52735317e-02 -7.31856674e-02 7.53842592e-02 5.41223260e-03 6.93794340e-02 7.49913557e-03 -2.51738005e-03 3.25160250e-02 1.98071785e-02 -7.71563454e-03 -2.06700236e-01 3.15001085e-02 3.59817990e-03 -1.77304186e-02] Cos Similarity tf.Tensor(0.64450985, shape=(), dtype=float32) (128,) (128,) [-0.17616259 0.15491627 -0.0505647 0.1298998 -0.00452808 -0.20179242 0.05244208 0.0771905 -0.00031819 -0.03483993 0.1690983 0.00402708 0.0037828 0.12585625 -0.00259674 -0.13314557 -0.00529323 -0.08308072 -0.15747456 -0.15190096 -0.19677864 -0.0544125 -0.118544 0.03573432 -0.00767772 0.0058919 -0.0882865 -0.02796738 -0.08808032 0.10211536 -0.14808732 -0.05483717 -0.0007666 -0.01420404 0.23479676 0.04945735 -0.00221069 -0.15182428 0.00935311 0.06826082 -0.11913243 0.00966285 -0.00806055 -0.01031474 0.21576105 0.02665459 -0.00570055 -0.01880411 0.00275178 0.00718847 0.00361102 0.00365669 -0.00447379 0.01009315 -0.00513388 0.00891704 0.04739308 -0.01356257 -0.01949098 0.0050417 -0.00788604 0.12869535 0.06120719 -0.00588576 0.01802329 -0.18389578 -0.01334402 -0.0156924 -0.00850485 0.02643856 0.16125281 0.15653081 -0.0033185 0.0079188 -0.00847075 0.00191692 0.13521996 0.0141351 0.00770556 0.21058553 -0.01162773 -0.00103069 -0.0056576 0.11524549 0.06811057 0.02551105 -0.14151762 0.01169678 -0.0058517 -0.07825498 -0.17292006 0.149273 -0.01018682 0.00290042 -0.00797197 0.07073901 -0.05776811 0.16599078 -0.00754684 -0.08531915 -0.16725738 -0.16360444 0.12707889 -0.13011825 -0.00831138 -0.02125491 0.08767973 0.00392584 -0.00457344 0.01851151 -0.08250394 -0.10492671 -0.00110853 -0.1004985 -0.03946539 -0.07720585 -0.06153167 -0.00850887 -0.02628835 -0.00232437 -0.01279622 -0.09999857 -0.00782379 -0.00075456 -0.19487165 -0.05349667 -0.02717544 -0.00958056] [-1.49912283e-01 1.49090379e-01 -6.01716414e-02 1.94883555e-01 -6.70448504e-03 4.96850163e-02 1.92896768e-01 9.54672545e-02 -3.97082698e-03 -1.72156114e-02 1.40504077e-01 7.00712064e-03 1.17947180e-02 1.46147862e-01 -9.61870246e-04 -2.02523410e-01 -2.33005546e-03 -4.28438447e-02 -5.41733466e-02 -5.11489213e-02 -1.57338887e-01 1.01775266e-01 -7.90228918e-02 3.23194303e-02 -7.40600983e-03 7.41434423e-03 2.49422006e-02 -2.33118869e-02 -1.03003927e-01 1.73128143e-01 -1.77780822e-01 -2.65685860e-02 -4.18069249e-04 -3.69521300e-03 1.79910913e-01 5.08672632e-02 -1.78181275e-04 -1.73973054e-01 9.82861407e-03 1.00739375e-01 1.61859971e-02 5.05997892e-03 -8.03479645e-03 3.63399507e-03 2.03989595e-01 3.31411436e-02 9.14913267e-02 -2.04015151e-02 4.08145133e-03 5.88306133e-03 8.03730357e-03 3.77951120e-03 6.65322784e-03 1.10739889e-02 9.64453723e-03 1.06440298e-02 1.18142866e-01 -1.58064440e-02 -1.65834054e-02 5.80667658e-03 -1.52165275e-02 1.51972294e-01 8.92031938e-02 8.47841904e-04 1.16005361e-01 -1.88351274e-01 -1.14241857e-02 8.59494433e-02 -3.32729868e-03 1.00042313e-01 1.12291850e-01 1.50886044e-01 2.62228074e-03 1.03422077e-02 5.09082573e-04 -2.27052625e-03 1.28847137e-01 1.00680292e-01 7.99798686e-03 1.53682038e-01 -1.89389277e-03 -2.76996871e-03 -3.46143078e-03 1.09674871e-01 1.57768995e-01 2.86706220e-02 -1.49870411e-01 1.45683903e-02 -3.73569340e-03 -6.54377043e-02 -2.12186009e-01 1.41269192e-01 -1.20765558e-02 8.92019086e-03 6.78147050e-03 6.91708997e-02 -1.20844059e-01 1.15107998e-01 1.64226617e-03 -8.54206011e-02 -9.23171863e-02 -1.37154117e-01 2.04005808e-01 -1.78319976e-01 -3.01660202e-03 -2.27035191e-02 -1.89264081e-02 -6.74080430e-03 -7.52713019e-03 3.80518064e-02 -1.48167284e-02 -7.10049346e-02 2.20207614e-03 -1.44478366e-01 -2.53639091e-02 -3.55559997e-02 1.04963342e-02 -1.13635296e-02 6.40427042e-03 -2.10681907e-03 -7.64322327e-03 9.65374988e-03 -1.08464304e-02 -3.25431139e-03 -1.72851443e-01 -2.03970149e-02 -1.36145437e-02 -6.87798718e-03] Cos Similarity tf.Tensor(0.841975, shape=(), dtype=float32) (128,) (128,) [ 0.19814537 -0.05204623 0.03131659 -0.01821776 0.00082082 0.18339561 -0.07004143 0.10619573 0.00278234 -0.00613537 -0.10117461 0.001846 0.01658641 0.15754421 -0.06052351 -0.02882182 0.00128427 0.01638621 0.1087618 -0.09859558 -0.09480544 -0.0521998 0.08382267 -0.06342978 0.01015135 0.00149952 0.0471036 -0.02636314 0.14775439 0.0144156 0.04139806 0.07600947 0.02462068 0.00548978 0.14801776 -0.00887068 -0.00463958 0.07005627 -0.0037961 -0.0594653 -0.04548834 -0.00574481 -0.01101574 0.00103724 -0.1227959 0.10962114 0.17378394 0.00590565 0.00964067 -0.01007957 0.00243626 0.00583324 -0.00766822 0.00433147 -0.01192076 0.00870965 -0.06718875 -0.01422079 -0.00328157 -0.01317755 -0.02226728 -0.16562833 0.09608269 -0.01644911 -0.1847577 0.19018994 -0.01503479 -0.0509907 0.00157562 -0.10834282 0.1357867 0.08378979 -0.00588201 0.00388596 -0.01088437 -0.00044898 0.09782039 0.09744349 0.0051756 0.05327473 -0.0046368 -0.0042734 0.01841885 -0.18013498 0.10483476 0.07713588 0.10847012 0.00933701 -0.00148626 -0.04368394 -0.09799409 0.06321581 0.00618589 -0.00910275 0.00308796 0.03321427 -0.18496501 -0.04991814 -0.01230304 -0.26104033 -0.12596601 0.09443711 0.03793218 -0.1780574 -0.00703755 -0.00142114 -0.14251707 0.0110099 -0.00741545 -0.2412686 0.01536889 0.00271493 -0.00152604 0.11261871 -0.06618749 0.20128952 0.21597984 -0.02890084 0.10700635 -0.02274084 -0.00743703 0.20605315 -0.01822144 -0.00742286 -0.20162204 -0.04527454 -0.03086244 -0.00827466] [ 1.52913645e-01 4.21473421e-02 -2.54495908e-02 7.05672950e-02 -8.15607235e-03 1.72029853e-01 -1.13047294e-01 9.25708264e-02 6.62703812e-03 -1.77437086e-02 4.13460471e-02 5.57494629e-03 1.94538978e-03 1.50117040e-01 7.48089552e-02 4.78097685e-02 -1.42073748e-03 -1.30811453e-01 -4.51762453e-02 -8.32344741e-02 -1.31328955e-01 -1.41178044e-02 1.74932584e-01 3.41701843e-02 -1.07869720e-02 -4.45009246e-05 -1.50950029e-01 -2.31089406e-02 1.45216778e-01 1.59031630e-01 -2.71798261e-02 -1.74203552e-02 1.10775791e-02 -1.37951004e-03 2.21804589e-01 2.26143398e-04 -1.10576460e-02 -1.20389529e-01 -7.60230655e-03 1.50363132e-01 -1.12990588e-01 -2.87641771e-03 2.86613568e-03 -9.49661899e-03 -1.75430432e-01 -1.01289742e-01 2.13496596e-01 -1.30382674e-02 5.53242024e-03 -3.09540657e-03 6.81060739e-03 2.53572105e-03 -6.72979048e-03 1.06336211e-03 -1.52524998e-02 6.06098305e-03 -1.19380422e-01 -1.03758825e-02 -7.31859682e-03 -1.40542407e-02 -1.29242549e-02 -1.30428255e-01 -8.38829428e-02 -1.54380826e-02 -1.00539885e-01 1.53192684e-01 -4.82834782e-03 -5.71707543e-03 -6.94623124e-03 3.98444310e-02 9.58873555e-02 1.60390019e-01 -3.70746478e-03 6.32664002e-03 -1.51174199e-02 1.27780484e-03 -3.54452012e-03 1.82673082e-01 4.50756075e-03 -1.11166820e-01 -9.63823870e-03 4.03114886e-04 -1.22649679e-02 5.02342097e-02 1.95812196e-01 8.47850665e-02 1.36070075e-02 7.70078972e-03 4.53314860e-05 1.43438159e-02 -4.77600060e-02 6.62620887e-02 1.07985539e-02 -6.27963804e-04 -6.03444525e-04 -1.36361718e-01 -1.73522890e-01 -1.37832379e-02 3.09770840e-04 -1.78049728e-01 -4.33000103e-02 1.92017049e-01 -4.37562633e-03 -2.32654050e-01 -1.29855145e-02 -6.49589626e-03 -1.56480372e-01 1.43714249e-02 -1.81674138e-02 -1.47188865e-02 7.60118589e-02 -2.85945926e-02 -8.16913694e-03 1.60751700e-01 -9.12611112e-02 -5.33347614e-02 1.73948467e-01 -4.44892514e-03 -1.70303002e-01 -1.59708317e-02 -4.09518974e-03 -5.14053926e-02 2.98422528e-03 2.32690424e-02 -8.94843340e-02 -5.70735522e-02 1.58708408e-01 -1.43959615e-02] Cos Similarity tf.Tensor(0.53671074, shape=(), dtype=float32) (128,) (128,) [-0.22528628 0.08432731 -0.05871568 0.18644479 0.0093399 0.05838291 -0.07753123 0.20393781 0.00157727 0.00214232 -0.01487198 -0.00873459 0.00860165 0.11921203 0.01820235 0.19405763 -0.01492143 0.07635675 0.16821001 0.09361771 -0.14815396 -0.14537174 0.06124273 0.148836 -0.00952898 0.0010805 0.02506804 -0.01277473 -0.01200457 0.03757273 -0.02616114 -0.20578538 -0.00565591 -0.02694226 0.1467543 0.00304871 0.00771658 -0.1016174 0.00056083 0.12182668 0.14032897 0.01227025 0.00626118 0.00232011 0.11494412 -0.14623433 0.00629327 -0.01348403 -0.00299929 -0.00173382 0.00914344 0.0065195 -0.01492845 0.00513383 -0.00637817 0.00376865 0.10217129 -0.00056685 -0.01659942 0.00821484 -0.15702966 0.21123074 0.14067584 -0.00994296 0.06557543 -0.03531064 -0.01172573 0.16899344 -0.00683016 0.0743411 -0.08799794 -0.165422 0.00655711 0.00578947 0.00123566 -0.01248246 -0.09626821 0.00790341 -0.00382542 0.15995713 -0.02799761 0.07138766 -0.00657117 0.14602341 0.02396767 0.00624929 0.08757558 0.00331627 -0.00169551 0.08626475 -0.15903875 0.15450959 0.00148165 0.00271317 0.00113207 -0.13222668 0.15585242 0.06216248 0.00227264 -0.00137132 0.07703709 -0.0051634 -0.02266329 0.09125666 0.00513826 -0.02184834 0.19075108 -0.0077707 -0.03727565 0.1156681 -0.13944699 -0.15529692 -0.01506353 0.1544146 -0.00289838 -0.01086905 -0.12445444 0.00727808 0.0313606 0.00177761 0.00796247 -0.14418183 0.00495258 -0.01978451 -0.11016899 0.00691407 0.0888371 0.00135867] [-2.2761467e-01 7.9501964e-02 -9.5835678e-02 2.0125736e-01 6.3404096e-03 4.7150694e-02 -8.0919698e-02 1.9528969e-01 5.5774045e-04 1.9692217e-03 5.9862612e-03 -2.0443687e-02 -2.4332271e-03 -8.9899689e-02 4.1534550e-02 1.7921117e-01 -2.8492535e-02 1.0867897e-01 1.2828615e-01 -1.7917233e-02 -1.4840733e-01 -1.5899323e-01 1.4050658e-01 1.3787764e-01 2.9309948e-03 6.7442819e-03 1.1942925e-02 -2.3317004e-02 1.8004052e-02 7.1547806e-02 -3.0967904e-02 -1.8060955e-01 -1.8008564e-03 -4.6843033e-02 -6.0531173e-02 -1.6368542e-02 9.5653031e-03 -1.3429062e-01 -5.4902327e-03 9.5927820e-02 1.9921216e-01 1.2042089e-03 -1.7316520e-03 2.0763792e-02 3.7427709e-02 -1.2730044e-01 1.0597456e-02 -1.5045044e-02 -8.3043864e-03 7.3226227e-04 8.0671571e-03 5.1958305e-03 -7.2734044e-03 8.9521017e-03 1.2041961e-02 -1.6987085e-04 8.1218272e-02 -5.4202962e-04 -1.1761123e-02 4.2284243e-03 -1.7666011e-01 2.2914590e-01 1.5860890e-01 -9.9928444e-03 1.5243493e-01 -4.0973432e-02 -1.8542567e-02 1.8618920e-01 -8.0265217e-03 -1.8282227e-02 -5.0387803e-02 -1.7051351e-01 8.8087264e-03 3.4686048e-03 -5.5644028e-03 -8.6349994e-03 -4.4064682e-02 1.1467522e-03 -2.4075164e-04 1.9555894e-01 -3.1916194e-02 5.9590247e-02 -1.8437689e-02 7.7843457e-02 1.7589543e-02 3.3338379e-02 7.9491541e-02 8.1880363e-03 1.2842644e-03 8.5756592e-02 -1.7225726e-01 1.3604771e-01 -4.5806449e-03 5.9133498e-03 -3.9074663e-03 -9.6052527e-02 1.7038226e-01 3.5438305e-03 -5.0126208e-04 -8.6819679e-03 6.5018795e-02 -4.2677667e-02 -7.9350196e-02 9.3778528e-02 6.2658810e-03 -2.6629219e-02 2.0574930e-01 3.7251669e-03 -2.2649758e-02 1.1664894e-01 -1.5850700e-01 -1.8246733e-01 -1.9388739e-02 9.7860418e-02 -2.9654256e-03 1.4851982e-02 -3.9134789e-02 -3.2784946e-03 1.8660875e-02 5.0083743e-03 4.0323478e-03 -1.5355544e-01 7.0907879e-03 -2.8663499e-02 -1.3827072e-01 7.5097135e-03 4.7331084e-02 -1.0195268e-02] Cos Similarity tf.Tensor(0.90790844, shape=(), dtype=float32) (128,) (128,) [-5.86662721e-03 8.89465436e-02 -3.00524887e-02 1.30243778e-01 -4.61937487e-03 -9.80898440e-02 -7.31225405e-03 1.29380926e-01 -5.64174820e-03 -1.05277784e-02 -3.64674479e-02 -8.89469590e-03 4.80584428e-03 1.58430383e-01 9.51076671e-02 -1.62820980e-01 -8.34696461e-03 -1.25374924e-02 1.77504227e-01 -4.16537449e-02 6.75377296e-03 -8.82482678e-02 -4.99647893e-02 8.52167234e-02 -2.01503094e-03 1.52979866e-02 1.35127708e-01 -2.50205267e-02 1.90231636e-01 2.22413659e-01 -1.40679345e-01 1.11096285e-01 -2.27493253e-02 -5.99681074e-03 -3.21481265e-02 -8.90255254e-03 3.32728983e-03 -1.35054722e-01 -4.40333458e-03 2.78583709e-02 -2.19361745e-02 8.41030572e-03 -6.40645623e-03 -2.78638140e-03 1.43072620e-01 1.75236255e-01 9.63865779e-03 3.23453522e-03 5.45951584e-03 3.53923859e-03 9.01375824e-05 7.28537003e-03 -1.14761712e-02 7.37484265e-03 -5.07667474e-03 7.86965340e-03 -2.23523956e-02 -1.28034102e-02 -8.63042660e-04 9.06768627e-03 1.28877964e-02 -1.05561160e-01 1.46505907e-01 -1.25139058e-02 1.70982167e-01 1.17649082e-02 -4.33433475e-03 -5.10525249e-04 -1.16123380e-02 -1.67478174e-02 8.48797932e-02 -1.42576784e-01 6.09085150e-03 -8.65092559e-04 5.54558914e-03 -7.82502908e-03 -7.06101358e-02 1.82383031e-01 7.54590670e-04 -1.61770537e-01 -1.20746652e-02 -1.42454682e-02 4.51005064e-03 -5.67416400e-02 -1.79319784e-01 -1.00571044e-01 5.63451350e-02 4.14610934e-03 -1.11643728e-02 3.29404883e-02 -9.14509445e-02 1.46116421e-01 -2.37640403e-02 1.26294582e-03 9.93488077e-03 2.18415126e-01 6.36355504e-02 -8.26098621e-02 -1.31062297e-02 -2.04050709e-02 1.38101012e-01 9.50639173e-02 2.18072101e-01 3.46716382e-02 -1.15345148e-02 -3.06268246e-03 2.45980412e-01 -2.69716111e-05 -1.09541817e-02 -2.10885629e-01 1.23828813e-01 1.17888443e-01 2.22934922e-03 1.98638206e-03 1.98206697e-02 -2.40677502e-03 1.85487360e-01 -6.67663105e-03 7.95673281e-02 -7.56245153e-03 1.34778745e-03 -6.42371830e-03 1.47521570e-02 -4.64036353e-02 -2.71640778e-01 -9.37306136e-03 -3.15487920e-03 -1.80335492e-02] [-1.14815950e-01 2.92060375e-02 -7.73726553e-02 4.65504676e-02 3.92806530e-03 8.34579580e-03 9.55881551e-03 2.04282776e-01 9.97174764e-04 -1.38776163e-02 2.19468504e-01 -4.85052494e-03 -1.03597520e-02 1.23908356e-01 5.06992005e-02 -4.37377803e-02 -8.10419768e-03 8.33894536e-02 -1.84249058e-02 -1.52644843e-01 -9.05237868e-02 -1.59975469e-01 -1.03839904e-01 8.77728835e-02 -1.44269420e-02 4.45608282e-03 -1.53389731e-02 -3.55906063e-03 2.08804160e-01 9.87257436e-02 -5.56227192e-02 -1.61668316e-01 5.88969386e-04 -3.31062786e-02 6.92564249e-02 -2.44298130e-02 8.17725714e-03 -1.31347343e-01 4.80843056e-03 1.10817879e-01 4.14117314e-02 1.46311754e-02 -4.15142713e-04 -6.93642534e-03 1.45178616e-01 1.88570946e-01 1.86051145e-01 -1.76998731e-02 -5.65962121e-03 -2.55505176e-04 7.85993878e-03 1.05911195e-02 -4.08599293e-03 6.27219444e-03 -1.66089943e-04 5.70550608e-03 -3.00909746e-02 -1.22668222e-02 -2.42455094e-03 1.55143151e-02 1.14087261e-01 8.73066336e-02 8.51585269e-02 -1.26684932e-02 2.12300614e-01 -1.22092158e-01 -1.65065343e-03 4.17196075e-04 -5.38624870e-03 7.69349188e-02 -1.69833869e-01 -1.99835554e-01 9.45083611e-03 -2.02392484e-03 -3.97412572e-03 -7.40522379e-03 -1.65819027e-03 2.02850118e-01 1.17009776e-02 -1.59527123e-01 -1.37150725e-02 -5.99841960e-02 -1.36263296e-03 -1.43871874e-01 3.31260189e-02 -1.43937424e-01 -1.85565010e-03 3.31855938e-03 -3.05295829e-03 -1.57961741e-01 -2.05558658e-01 9.03648064e-02 -2.36447435e-02 -3.89540964e-03 -2.98421062e-03 -1.05011463e-01 1.91367030e-01 -6.95394501e-02 2.59817624e-03 1.12060390e-01 4.78342846e-02 -8.30972120e-02 4.86031957e-02 -2.92533096e-02 -1.15206009e-02 -1.86668932e-02 1.04471512e-01 -1.10230735e-02 -1.53978821e-02 1.82640031e-02 8.30335319e-02 5.55221178e-02 6.44685794e-03 -1.77804604e-01 7.82378390e-03 -9.08847526e-02 2.94188298e-02 -1.34859048e-03 -1.69949263e-01 1.24723427e-02 1.19789122e-02 -8.33921507e-02 8.39989539e-03 -4.27016839e-02 -1.93517521e-01 -3.78047973e-02 3.07559147e-02 -1.32437339e-02] Cos Similarity tf.Tensor(0.46199378, shape=(), dtype=float32) (128,) (128,) [ 0.21335544 0.03624949 -0.01344312 0.08615673 -0.00954322 0.14897649 -0.02235479 -0.05758951 -0.00906511 0.00717754 -0.17573775 0.004062 0.05004215 -0.17562567 0.01457979 -0.1622311 0.03591598 0.1421005 0.10172483 -0.06213302 0.11569116 0.07288004 0.06701516 -0.07248007 0.03035572 0.01504073 -0.03213809 0.02610469 0.22190094 0.01819144 0.00702173 0.16092935 0.01834783 0.04109064 0.08857612 0.01947922 0.01313607 0.03832673 -0.00616037 0.08765309 0.16363032 0.01458333 0.0067543 -0.01205184 0.19327696 -0.05467556 0.07743663 0.00995942 0.01565412 0.00478302 0.0119937 0.00313119 0.01558188 0.01693546 0.01713926 0.00653695 -0.17811191 -0.0085074 0.01956292 0.00998758 -0.04095712 0.05262632 -0.11442263 -0.00046468 0.19185533 -0.09131325 -0.0094986 -0.04968318 0.00776619 0.12423161 -0.00722626 0.02907333 0.01607498 -0.02114459 -0.00071929 0.019419 -0.05836865 0.09011586 -0.01207155 -0.08074344 -0.01447404 0.00167889 -0.00650951 0.07398403 0.10798965 0.23530786 0.22696675 0.00455657 0.00814856 -0.039029 -0.11685537 0.06285018 0.02127585 0.03868615 0.01647761 0.0792628 -0.16436428 -0.20674507 0.0041587 0.00379779 0.02432842 0.14580698 0.22716819 0.24805267 0.01439851 -0.0380605 -0.09829015 -0.00435756 0.0243188 0.09473472 -0.07131629 0.12498731 0.00991055 0.00247765 0.01585456 -0.13108493 -0.03300929 0.00542253 -0.05519119 0.00516712 0.01357547 0.11184075 0.00833212 -0.00086746 -0.14675584 0.04909984 -0.03294746 -0.02039001] [ 0.13597485 0.14297456 0.12522161 -0.0010732 0.013596 0.01971425 -0.06625398 -0.04007006 0.00215734 0.01494829 0.13166541 0.01724203 0.05996788 -0.14666694 -0.09676924 -0.10967543 0.03313761 -0.05382695 0.02280727 -0.10417058 0.02443941 0.115513 0.10079418 0.05811152 0.00943985 -0.03056435 -0.17489563 0.01719026 0.1115813 -0.16906427 -0.16431578 0.04226011 0.04143243 0.05278242 -0.071994 0.01697755 0.04254099 0.01341981 -0.06493205 0.15224543 -0.14632033 -0.00748871 0.00620622 -0.00078798 -0.0122345 -0.11085225 -0.11630004 0.0344363 0.04323377 0.00578913 0.01155903 0.00930022 0.05387698 0.01344948 0.05168625 0.03448605 -0.07025368 -0.01535329 0.04994636 0.01727945 -0.17711695 -0.105905 -0.0808358 -0.01040582 0.03356278 0.14240804 0.00450404 -0.1020554 0.04614348 0.14334908 0.01297285 0.13440599 0.02039285 0.01887911 0.0071271 0.01884411 0.16825931 -0.16784248 -0.00456969 0.15627006 0.02089996 -0.00236394 0.01954186 -0.17792924 0.08904616 0.16285661 0.11554886 0.04176077 0.01290086 -0.17698327 0.14179602 0.0714354 0.0395908 0.06828675 0.04398398 -0.03390406 0.07787276 -0.08818277 0.01110753 -0.01986659 0.04058938 0.13342337 0.22530456 -0.20665362 0.04825622 -0.01298819 -0.14873151 0.0217138 0.04763659 0.12701139 -0.1034112 0.00193346 0.00219187 -0.07844939 -0.06785759 0.08845405 0.13468431 0.00696955 -0.15281175 0.04456106 0.00280199 0.06533778 0.03045458 0.00770945 0.15340428 0.00557477 -0.01759187 0.00040523] Cos Similarity tf.Tensor(0.20109564, shape=(), dtype=float32) (128,) (128,) [-0.11122546 -0.01535909 0.07737908 -0.13914615 0.00027244 -0.0042479 -0.0996485 0.0486658 0.00345237 0.00038685 -0.11625604 -0.01866819 -0.00592296 0.03402312 0.08689571 -0.15944007 0.00425756 0.01578942 0.02370784 0.01990101 -0.15336348 0.14952175 0.13740556 0.0914249 0.00965105 0.01719528 -0.05674773 0.00877176 -0.12531397 -0.14046958 0.03754483 -0.14401196 -0.02150769 0.00355934 -0.15841164 -0.02691086 -0.01726773 0.09275192 -0.02026598 -0.06917489 -0.05471436 0.01647141 -0.0030928 -0.0264337 0.09612307 0.15390055 0.03364632 -0.00819099 0.01773618 0.00625424 -0.00231001 0.00221887 -0.00851986 0.01388417 0.01623283 0.00353606 0.18090071 0.01278188 0.01483114 0.003817 0.00515581 -0.17615132 0.17188929 0.0112857 0.17838766 -0.04729806 0.00385471 -0.03876314 0.01810019 0.18852475 0.03267931 0.15689531 -0.01003355 -0.00418871 0.00993843 0.0244189 -0.16776639 -0.11184836 -0.01758628 0.03531669 -0.01013743 -0.01623583 0.01036744 -0.07688429 -0.17869826 0.16248855 0.08266323 0.0074461 -0.01362975 0.18425031 0.07802451 0.06033785 0.00432301 0.02200869 -0.01144827 -0.1580928 0.12594323 -0.17517246 -0.00040871 0.13358612 0.06737582 -0.18364318 0.19512562 0.14918745 0.01823187 0.00066633 0.06449787 0.00025729 0.00595981 0.19837175 -0.05760581 0.15684867 0.00823773 -0.12070394 0.08012678 -0.08673313 -0.03784269 0.00362979 0.16895497 0.01437132 0.01699387 -0.10691154 -0.00483381 -0.02835825 -0.03186518 0.06574336 -0.00398525 0.01047814] [-1.54142842e-01 5.94745064e-03 8.52664933e-02 -1.65732145e-01 5.36712538e-03 -5.42402593e-03 -1.32264808e-01 5.60871474e-02 8.37228727e-03 -3.78659373e-04 -1.22572348e-01 -3.10487952e-02 6.20279927e-03 4.33752909e-02 9.75760445e-02 -1.22855067e-01 1.52172633e-02 -1.69852285e-06 2.53404193e-02 2.40982994e-02 -1.00820027e-01 8.03323537e-02 1.35667309e-01 8.88776854e-02 2.07073800e-02 1.48133254e-02 3.20242569e-02 1.80639867e-02 -6.20560199e-02 -1.70445904e-01 1.03648463e-02 -1.31872281e-01 -1.20023610e-02 1.49867488e-02 -1.57636866e-01 -2.90868059e-02 -1.97272990e-02 1.13723576e-01 -1.54429786e-02 -4.66511808e-02 -5.86504536e-03 2.53983345e-02 -3.58942803e-03 -2.18975898e-02 1.30688891e-01 1.66163728e-01 3.05935107e-02 -8.56723986e-04 2.08965242e-02 -1.31717389e-02 -2.80397758e-03 2.75324401e-03 8.33718758e-03 1.58554576e-02 2.49752179e-02 1.57948062e-02 1.54892251e-01 4.03288100e-03 5.94660826e-03 9.16935876e-03 5.21870293e-02 -1.74778834e-01 1.70997545e-01 1.68281123e-02 1.69682413e-01 -1.54619157e-01 7.24137994e-03 -2.21240707e-02 2.07816046e-02 1.71251252e-01 4.44678739e-02 1.48788750e-01 -1.15878228e-02 -8.93010013e-03 1.12527953e-02 2.67064683e-02 -9.96985063e-02 -1.23517826e-01 -1.77747458e-02 4.81207967e-02 -9.89248790e-03 -1.82541069e-02 8.17523152e-03 -7.63781518e-02 -1.80872172e-01 1.07727937e-01 4.78702672e-02 1.06748752e-02 -6.54660212e-03 1.79772973e-01 7.44844135e-03 -1.49686541e-03 -1.61306036e-03 2.05996037e-02 2.40378059e-03 -1.39884219e-01 1.29917070e-01 -2.05338731e-01 5.25518181e-03 1.85116887e-01 1.69489428e-01 -1.77911013e-01 1.98580027e-01 1.24065012e-01 1.83103625e-02 1.68107096e-02 5.72836287e-02 -7.45406083e-04 1.29338289e-02 1.99385718e-01 -1.93240345e-02 1.77026197e-01 1.15974313e-02 -1.05811395e-01 6.79940581e-02 -6.12218194e-02 -1.95610197e-03 5.62793575e-03 1.66411266e-01 2.57686879e-02 1.36654805e-02 -1.11147724e-01 5.43198735e-03 -3.16447839e-02 -9.62591246e-02 8.56977254e-02 -3.96832870e-03 1.46812433e-02] Cos Similarity tf.Tensor(0.95390177, shape=(), dtype=float32) (128,) (128,) [ 7.06358179e-02 9.63508114e-02 -1.47306649e-02 -2.03142419e-01 -9.26130731e-03 -1.22476079e-01 -7.77282268e-02 2.95601711e-02 9.49678756e-03 -6.77638827e-03 -2.31507011e-02 -1.06045930e-03 -2.76342384e-03 2.20445786e-02 6.67629167e-02 1.03949592e-03 2.06977013e-03 -1.10784784e-01 1.70955569e-01 3.43791246e-02 -1.42006809e-02 9.46304481e-03 1.17425621e-01 -1.06495366e-01 -1.53084118e-02 5.07973833e-03 1.93470761e-01 1.26653556e-02 8.70839208e-02 8.78725201e-02 -5.85927889e-02 9.79924873e-02 3.02410824e-03 7.17430189e-03 4.74951454e-02 -3.44062746e-02 -5.38560841e-03 1.62623525e-01 2.55644019e-03 2.39106134e-01 -1.78293765e-01 6.05672225e-03 -1.20977387e-02 1.14293974e-02 9.39855278e-02 -6.12769648e-02 1.35750890e-01 1.05438195e-02 1.22587243e-02 -1.92886291e-04 8.50000512e-03 7.74181623e-04 -2.79179998e-02 6.20413339e-03 6.04793802e-03 7.48749403e-03 1.93859890e-01 -3.71727394e-03 5.75014157e-03 -6.43653609e-03 -1.77456159e-02 1.30180761e-01 8.73737633e-02 -1.44842416e-02 -1.06194861e-01 1.57221302e-01 6.92832051e-03 -4.08821106e-02 -1.44361041e-03 2.47203082e-01 3.51590253e-02 -4.87495027e-02 -3.18224332e-03 3.46212764e-03 -5.10129565e-03 1.39569100e-02 3.42428405e-03 -1.05047800e-01 -3.62175447e-03 -2.09577307e-01 -7.13869871e-04 -7.82981738e-02 6.75632991e-03 4.13463898e-02 1.21548407e-01 1.91045552e-01 2.30286084e-02 1.34814652e-02 -5.91730932e-03 -6.14205096e-03 -1.15692690e-01 -2.07864314e-01 -2.01107771e-03 7.24448217e-03 -6.36827853e-03 -8.76796469e-02 -8.69346410e-02 4.91138063e-02 -9.21507087e-03 -1.88411117e-01 -1.48058802e-01 -1.74218878e-01 5.63450791e-02 2.48054221e-01 -1.20558869e-02 1.48046454e-02 -6.67026564e-02 5.79793425e-03 -2.90921722e-02 9.28313285e-03 -1.24546096e-01 3.25238816e-02 -1.02080237e-02 -8.74657258e-02 -2.07570493e-02 -3.25843389e-03 2.09451005e-01 -2.70291399e-02 6.45707920e-02 -1.77527387e-02 1.49804587e-03 -1.20800152e-01 -1.01347258e-02 -1.01004979e-02 1.56479806e-01 5.95767759e-02 3.21076699e-02 3.12923454e-03] [ 6.65624999e-03 5.92716113e-02 -3.83808017e-02 -2.13198468e-01 -2.05516927e-02 7.52325542e-03 -1.13729142e-01 9.03162174e-03 4.92097344e-04 -5.13558649e-03 1.52822316e-01 -6.55672373e-03 -9.89343040e-03 -1.86562672e-01 4.77478839e-02 1.55864656e-02 -4.22939705e-03 2.15321733e-03 1.79056883e-01 -4.17872099e-03 -4.28851061e-02 -1.08135648e-01 1.01757213e-01 -4.04022895e-02 -5.19125815e-03 8.95927753e-03 2.40829233e-02 4.10300540e-03 1.77300777e-02 1.90636054e-01 -5.32016903e-03 6.06121123e-02 9.69136506e-03 -2.81991833e-03 2.37432584e-01 -2.62982920e-02 5.67035610e-03 9.85646993e-02 3.17770755e-03 1.58922136e-01 -1.32228523e-01 7.70113571e-03 -1.24468771e-03 3.38601880e-02 -9.38046537e-03 -1.99197888e-01 -6.66429028e-02 -3.33541469e-03 7.95820728e-03 1.11030992e-02 1.09515954e-02 2.13331892e-03 -2.67822016e-02 1.00477515e-02 -2.02768538e-02 3.50564951e-03 1.20977402e-01 -1.48316426e-03 1.21478532e-02 -5.23912860e-03 -8.61079842e-02 9.01698545e-02 1.01324134e-01 7.80320400e-03 4.00594920e-02 -2.40281094e-02 -6.97176810e-03 -1.04021445e-01 -1.19163971e-02 2.29280367e-01 4.10105214e-02 7.23545626e-02 2.83389050e-03 -1.95904460e-04 -9.96206421e-03 1.67064499e-02 -2.08037551e-02 2.51901988e-02 -8.75381660e-03 -2.45764643e-01 3.05788359e-03 1.53046008e-03 4.96561825e-03 7.57050235e-03 1.21093526e-01 1.23024262e-01 1.74763232e-01 1.59660261e-02 1.74423354e-03 -9.21696052e-02 -1.14875376e-01 -1.63228884e-01 3.48385843e-03 1.71531029e-02 -4.70502023e-03 -1.94791034e-01 -5.45918830e-02 -1.32485107e-01 -3.00812349e-03 -4.85795476e-02 -1.01638548e-01 -1.60827219e-01 -3.12652998e-02 2.55476803e-01 -9.91704129e-03 6.34958211e-04 -2.23003584e-03 -2.06583855e-03 -1.64145045e-02 -1.91999495e-01 -2.06897542e-01 1.71185024e-02 -9.83716734e-03 6.51398301e-02 -4.47131246e-02 1.43864617e-01 1.02649853e-01 -2.02202424e-02 1.15137603e-02 -1.44857448e-02 -8.03217932e-04 -1.54538348e-01 2.47080941e-02 -4.68642265e-03 1.40737429e-01 9.05985609e-02 -2.53008436e-02 -8.15543905e-03] Cos Similarity tf.Tensor(0.67634094, shape=(), dtype=float32) (128,) (128,) [-1.99309349e-01 -7.75512531e-02 1.25002280e-01 1.66579992e-01 3.00161936e-03 -3.34870140e-03 -1.89623877e-01 8.70489515e-03 4.92313225e-03 -1.55095831e-02 1.78867221e-01 -1.67986436e-03 -4.57271561e-03 -3.88486087e-02 1.10639982e-01 -5.84455729e-02 -1.01949112e-03 1.65795013e-01 -2.28804588e-01 -1.12041673e-02 1.09461971e-01 1.54691383e-01 5.85292354e-02 -1.14594907e-01 -1.69094577e-02 2.07403558e-03 -6.40969574e-02 -1.49785737e-02 -9.13175568e-02 8.52941945e-02 1.99778900e-01 -1.29154608e-01 1.39244860e-02 -2.64149578e-03 9.41996723e-02 2.44265944e-02 6.52414886e-03 1.93296790e-01 -8.32352322e-03 -1.76207691e-01 -1.51643440e-01 1.29189603e-02 -6.48099603e-03 1.38109941e-02 -4.92969751e-02 -7.09387884e-02 5.66630140e-02 6.69151079e-03 8.85522272e-03 -6.48226636e-03 6.40611770e-03 2.09015608e-03 6.66135456e-04 2.26189964e-03 1.51593413e-03 2.98334332e-03 1.57351017e-01 -1.27591891e-02 -1.37993111e-03 -7.98080117e-03 8.39611664e-02 -7.54047185e-02 -1.55735537e-01 -7.80176930e-03 6.20824732e-02 6.67595584e-03 5.49750682e-03 -1.82222426e-01 -6.43553026e-03 6.46383315e-02 -9.39588398e-02 -1.72870494e-02 -3.00870137e-03 2.42482452e-03 -1.22954920e-02 1.55607685e-02 -5.18463552e-02 -5.90072721e-02 -1.45474289e-04 1.36491030e-01 -2.10379180e-03 -3.37741636e-02 7.25540100e-03 1.26907855e-01 -2.98022311e-02 -2.17307374e-01 -2.24541128e-01 3.28006945e-03 -1.11563895e-02 -1.63912237e-01 5.74825406e-02 3.37066725e-02 -1.51629196e-02 1.19180302e-03 2.42789974e-03 2.12846458e-01 -4.49779183e-02 -1.90565195e-02 6.95797196e-03 -1.08371951e-01 -6.85406700e-02 7.73594379e-02 -7.94002321e-03 3.41992453e-02 -6.99507724e-03 -1.65168394e-03 9.19569805e-02 -8.12652614e-03 -1.20648863e-02 7.83969909e-02 1.38921216e-01 2.09419280e-01 4.36509354e-03 1.02639117e-03 -7.56390244e-02 -1.01969630e-01 5.56030609e-02 -6.88354764e-03 -8.11823979e-02 -2.65178606e-02 -1.10721588e-03 -1.25451282e-01 2.02517211e-02 7.46136112e-03 1.54485151e-01 -4.28889394e-02 -2.14582253e-02 -5.39943669e-03] [-8.84105787e-02 -9.88875777e-02 1.19691938e-01 1.94555789e-01 2.88713002e-03 -1.00561308e-04 -1.26951844e-01 -1.45464763e-01 2.32602805e-02 -1.49401734e-02 1.68148324e-01 6.45990577e-03 2.00731903e-02 1.28747718e-02 1.90841824e-01 -1.98534235e-01 1.16439527e-02 1.94625258e-01 -1.88721910e-01 -5.42686544e-02 -1.07844807e-02 1.34884849e-01 9.32357833e-02 -3.50691676e-02 8.64879787e-03 1.62523407e-02 -8.89573842e-02 7.69529678e-03 -1.10027708e-01 3.35402563e-02 1.77499756e-01 -1.15236774e-01 -1.38258375e-02 -7.53345154e-03 -1.50789410e-01 -1.37097097e-03 -4.59113129e-04 1.49803951e-01 -1.14096771e-03 -1.77110750e-02 1.34936616e-01 9.39963851e-03 -1.17974905e-02 1.89229636e-03 -9.77451801e-02 1.01654930e-02 2.96385847e-02 2.50232843e-04 1.41344294e-02 -1.98546853e-02 -3.98843130e-03 2.22738745e-04 1.27106160e-03 5.48492046e-03 6.04317896e-03 -9.21487901e-03 1.28019303e-01 -3.71083361e-03 6.62467862e-03 3.19045107e-03 8.71813819e-02 2.92291418e-02 -1.64982840e-01 -1.14814043e-02 -1.12499818e-01 -7.20949471e-02 2.19813036e-03 -1.68201268e-01 -5.32234181e-03 -7.07392171e-02 -4.04746979e-02 3.37155499e-02 5.57058258e-03 4.80150990e-03 -1.34535935e-02 2.41020024e-02 -6.35795146e-02 -5.57787307e-02 7.13895715e-04 1.52007341e-01 2.35706801e-03 -2.36410964e-02 1.54441537e-03 -1.32796308e-02 -4.83931042e-02 -1.90044880e-01 -1.62764937e-01 5.25541510e-03 -5.15503297e-03 -1.90890282e-01 -7.52640590e-02 1.82497755e-01 7.04513770e-03 1.26805175e-02 -3.27355936e-02 1.93370804e-01 3.80418152e-02 -9.61076766e-02 3.37064709e-03 -1.63466260e-01 9.89224166e-02 1.06847368e-01 2.89803464e-02 7.31559396e-02 6.47381600e-03 -9.90969595e-03 8.95544440e-02 3.63714702e-04 5.78427548e-03 4.16598357e-02 1.18039317e-01 1.84876129e-01 -6.47222577e-03 6.74629360e-02 -6.33300543e-02 -1.45842940e-01 1.77102283e-01 1.02915224e-02 5.11027034e-03 -2.91632917e-02 -1.81691861e-03 -1.83218971e-01 1.97131820e-02 2.27931188e-04 -6.32559136e-02 -2.26419009e-02 -1.26437237e-02 -5.34346385e-04] Cos Similarity tf.Tensor(0.7216015, shape=(), dtype=float32) (128,) (128,) [-8.79822746e-02 1.43334270e-01 7.68417120e-02 -2.05404684e-01 -5.08886762e-03 4.48438078e-02 9.25589949e-02 -6.83955103e-03 6.35793153e-03 1.68779632e-03 -2.21726805e-01 1.68847630e-03 2.34029684e-02 -1.31171778e-01 1.32804051e-01 -1.68320268e-01 5.19267749e-03 1.07968245e-02 1.19785257e-01 7.86764324e-02 6.29541576e-02 -1.53115466e-01 1.90169692e-01 -1.08284444e-01 2.45556477e-02 -2.43184692e-03 -1.57087192e-01 -9.50710382e-03 6.15841523e-02 -2.26705242e-02 8.79353583e-02 9.80014056e-02 -1.93776414e-02 1.54884355e-02 -1.08708628e-01 -9.22985654e-03 1.43204378e-02 -1.24881463e-02 -2.49174833e-02 1.66965593e-02 1.04513459e-01 -6.70358492e-03 -2.95396778e-03 -1.52013097e-02 -7.76110440e-02 1.92583904e-01 -4.24184045e-03 1.99264307e-02 2.40162313e-02 3.58872078e-02 1.79108847e-02 3.74470372e-03 1.97360758e-02 8.02749395e-03 1.84764024e-02 2.04875302e-02 5.90415111e-05 1.19629363e-02 3.07984874e-02 -1.82549492e-03 1.58865497e-01 -1.61671206e-01 -4.68730778e-02 -3.38495523e-02 -9.64401066e-02 3.62301171e-02 -1.69731434e-02 -1.53724607e-02 3.38899270e-02 9.83230919e-02 8.37345943e-02 1.07323326e-01 5.65600069e-03 5.03862230e-03 9.05602891e-03 2.88411044e-02 5.02830260e-02 -1.45653620e-01 4.91855713e-03 -1.47024989e-01 2.29878183e-02 1.09089538e-03 9.36128851e-03 -7.40939379e-02 -8.17086026e-02 1.94651857e-01 8.68712366e-02 1.34236179e-02 -1.84388700e-04 9.88185853e-02 -6.51950017e-03 -5.01705669e-02 1.78291574e-02 1.19802104e-02 -2.53739604e-03 1.93401933e-01 -1.12114936e-01 -1.53265208e-01 -7.64118461e-03 -1.57863811e-01 5.49809411e-02 -4.01908308e-02 2.12801605e-01 1.50691882e-01 2.36200308e-03 -4.44273232e-03 1.25226632e-01 3.37761245e-03 8.02475400e-03 -1.74973696e-01 -1.50075048e-01 6.19683713e-02 -8.63952842e-03 2.03107968e-02 -9.95449815e-03 -4.43865284e-02 1.08040147e-01 -3.66253662e-04 2.12488800e-01 -2.28638407e-02 1.95025876e-02 1.86970055e-01 3.09603885e-02 1.83304795e-03 -1.02103516e-01 5.65665439e-02 1.32661328e-01 1.41317886e-03] [ 0.20057285 0.21780144 0.07329516 -0.00487489 -0.00460702 -0.07326807 -0.01305847 -0.05349367 -0.00386818 -0.00471763 -0.08544053 0.00495678 0.01181087 -0.10322166 0.14541368 0.06308579 -0.01284333 0.04310901 0.0660783 -0.03273961 -0.1412597 -0.07205729 0.14946719 0.06641727 0.01324617 0.00783891 0.06451593 0.00747078 -0.18558654 -0.0286634 -0.20335679 0.21700388 0.018833 0.00863648 -0.0247974 0.02807308 0.01200529 -0.0669906 0.00470522 0.0405306 0.04926534 -0.00452138 0.00045499 0.00450463 0.16382264 0.03274506 -0.01761552 0.01435784 0.0086282 0.00457414 -0.00127871 0.00477467 -0.0005564 0.00564451 -0.00475836 0.01897292 -0.02289125 0.00708103 0.00293069 0.00425268 -0.11221714 0.01971047 0.13084026 0.01650856 -0.2065541 0.19889838 -0.00763891 0.04144915 0.00344951 -0.06837627 0.13638699 -0.06126883 0.00647854 0.01142388 -0.00104531 0.02092051 0.05773459 0.02576019 0.00273353 -0.11593363 -0.00962319 -0.01722839 0.00297657 0.22156551 -0.13699597 0.14822276 0.09227634 0.0152234 0.00297649 0.0858611 -0.2065143 0.15869756 0.00578935 0.0212936 0.00218459 -0.05115014 0.0554405 -0.1152668 -0.01289323 -0.11790354 0.20784876 0.00537182 0.1829013 0.18269354 0.00226988 0.00224126 0.07882944 0.00596576 -0.00340388 0.06030195 0.03667571 -0.03219458 0.00490829 0.04726728 -0.04184754 0.2097585 -0.08418702 -0.02332187 -0.05099783 -0.00627967 0.00037808 0.21525596 0.00067669 -0.01534769 -0.18155567 0.01301066 0.00024808 -0.00482486] Cos Similarity tf.Tensor(0.24248871, shape=(), dtype=float32) (128,) (128,) [-0.19246183 0.08539824 0.08480045 -0.04502022 -0.01084877 -0.0213796 0.14283486 0.09735835 -0.00375133 0.00158249 -0.00228771 0.00916456 0.00848214 0.09849368 0.1007954 -0.18573938 0.0138815 0.06490599 -0.08478785 0.002278 -0.17800711 -0.17845324 0.03043335 -0.06814057 -0.00120624 0.00060178 -0.08330498 0.00823773 0.15175961 -0.13778804 0.1633853 -0.151822 -0.01411791 -0.01109944 0.18976611 -0.04360272 0.01196559 0.08661877 0.00780589 0.07562355 0.00362516 -0.00932862 -0.00425128 0.00555167 0.12240718 0.18691605 -0.00135812 0.00402039 0.01137341 0.00520535 0.0015432 0.00382609 0.01619556 0.00845632 0.01120741 0.01476526 0.10095062 0.00601837 0.00109304 -0.00060255 -0.01029322 0.05390116 -0.1408898 0.00630735 0.06366155 0.19650634 -0.01481643 0.18830882 0.00777642 0.14243968 0.19787042 -0.11968324 -0.00256711 0.01293771 -0.00657869 0.01448298 0.11747558 0.03071517 0.00873137 -0.16013004 -0.00559427 0.00102117 -0.00349999 0.0576635 -0.1290836 0.1933255 -0.05363775 0.01736509 -0.00866773 -0.04166929 -0.08471299 -0.14069422 0.00135118 0.01277557 0.02237597 -0.06708821 0.09506256 -0.0708978 -0.00025741 0.10263526 -0.01488529 -0.08678767 0.19843912 0.16659912 0.00182935 -0.0250216 -0.15505837 0.00271232 0.0075104 0.05268519 -0.08130874 -0.04961049 0.00477727 -0.08892965 -0.02681591 -0.03973001 0.19762035 0.01598004 -0.15483509 0.01328185 -0.00881595 -0.02070414 -0.00176257 -0.01648768 0.20192315 0.02148736 -0.08252139 0.00857117] [-1.26649424e-01 3.22455168e-02 4.44116965e-02 3.46219987e-02 -4.43730392e-02 -2.34004259e-02 1.01046167e-01 -2.14201853e-01 1.28350016e-02 -2.21533980e-03 1.72114894e-01 -9.52006551e-04 9.08377580e-03 -1.86127126e-01 6.80795908e-02 -2.97972094e-02 -5.00141969e-03 1.50521711e-01 5.84412999e-02 2.00078219e-01 -1.35599479e-01 -6.89800829e-02 -1.71390161e-01 -7.12699220e-02 -3.91089320e-02 4.20378568e-03 -6.87547401e-02 -1.72333932e-03 6.91215619e-02 -1.69475585e-01 1.42538801e-01 -8.60574469e-02 8.49062111e-03 7.72694778e-03 1.93608284e-01 2.03437489e-02 1.35018257e-04 1.31600246e-01 1.64916329e-02 -1.17059261e-01 -6.28737435e-02 -2.63403310e-03 8.24208779e-04 2.11519282e-02 -7.49484971e-02 1.64220855e-01 2.41043121e-02 1.39250420e-03 1.25177791e-02 9.09257215e-03 1.49999326e-02 -2.15676008e-03 -9.63351969e-03 6.40645344e-03 -1.41522549e-02 2.98629026e-03 1.38230264e-01 6.55271951e-03 -1.73244986e-03 -1.76383555e-02 1.08433343e-01 1.09521903e-01 6.63511753e-02 4.06954996e-03 -3.84001657e-02 1.85282044e-02 -5.42163791e-04 2.03212216e-01 -2.74307448e-02 4.51852567e-02 9.62017477e-02 -1.55738756e-01 -8.40989966e-03 3.77334352e-03 -1.53794643e-02 1.18352417e-02 1.12533689e-01 -2.90269684e-02 2.74464837e-03 -9.94144529e-02 -1.19837839e-03 8.26985668e-03 -1.15090990e-02 2.10045710e-01 -1.45352203e-02 2.01655373e-01 -2.27237716e-01 4.36896516e-04 -9.80485883e-03 -1.11718759e-01 -1.01784766e-01 -1.29644841e-01 -1.34740584e-02 5.91197563e-03 1.25624649e-02 -9.07921344e-02 6.19879887e-02 -5.44122308e-02 1.43703842e-03 1.06101952e-01 -2.86164526e-02 -1.64807871e-01 2.28768051e-01 8.44298601e-02 -2.46271770e-02 -1.21668447e-02 -7.34781995e-02 1.18236896e-02 5.07512083e-03 6.43967390e-02 -3.12262657e-03 -1.27500494e-03 -1.61648057e-02 4.66362759e-02 -6.56736493e-02 -2.02012621e-02 9.83453169e-02 -1.83780529e-02 -1.19837500e-01 -2.11089943e-02 -9.98225296e-04 1.14011794e-01 1.79597326e-02 -5.32860542e-03 1.84058085e-01 -2.71893647e-02 -1.41752809e-01 -5.30653214e-03] Cos Similarity tf.Tensor(0.6112145, shape=(), dtype=float32) (128,) (128,) [ 2.67604500e-01 1.15234636e-01 -8.02061036e-02 -5.54733560e-04 -2.62153056e-02 -8.66240636e-02 1.74846239e-02 -3.91775444e-02 -5.75178768e-03 -6.57226285e-03 -1.62678942e-01 -1.58326626e-02 -1.33170199e-03 -2.82729901e-02 9.10360068e-02 1.62045695e-02 -9.02902029e-05 -7.72905499e-02 1.57540843e-01 -7.05627054e-02 1.97747186e-01 -8.01113769e-02 1.18175410e-02 3.56648378e-02 -1.09140193e-02 2.94220098e-03 1.62428543e-01 -1.93837774e-03 7.38620907e-02 8.93732756e-02 -4.90996800e-02 1.29234076e-01 1.20211560e-02 4.46725311e-03 -3.30525190e-02 3.33410408e-03 -1.65801274e-03 3.77913937e-02 2.41597602e-03 -1.37318045e-01 -4.80702333e-02 -7.62068387e-03 -4.69678827e-03 -5.67770516e-03 -2.74898820e-02 -4.45707999e-02 -1.37970457e-02 8.40157457e-03 8.21875595e-03 1.45450542e-02 1.08415326e-02 2.08775653e-03 -8.10633227e-03 5.41334040e-03 -4.28050430e-03 7.13481149e-03 -9.19040218e-02 1.47060433e-03 -4.07184154e-04 -1.29803838e-02 1.53588191e-01 2.02339739e-01 1.02725975e-01 2.80166627e-03 -8.34622160e-02 -1.62245221e-02 -8.60800687e-03 1.23283630e-02 -1.04893548e-02 -1.01123098e-02 -7.61906728e-02 -1.73853293e-01 -3.55572440e-03 -1.06993585e-03 -9.64251347e-03 1.10629201e-02 1.76634088e-01 -5.91217764e-02 -4.59120609e-03 6.27211407e-02 -1.33197950e-02 5.81200272e-02 1.18524609e-02 1.26778871e-01 -1.66086286e-01 1.19828738e-01 1.30148321e-01 8.22980329e-03 -7.68203475e-03 1.78186223e-01 1.04110628e-01 6.10206686e-02 -1.56005351e-02 2.21582246e-03 1.78626622e-03 1.42804414e-01 5.91932274e-02 -1.65954486e-01 -1.23708248e-02 1.56880364e-01 3.54693159e-02 4.56269048e-02 1.59969568e-01 1.63878456e-01 -1.33345881e-02 1.00657530e-02 1.88519850e-01 1.25037367e-02 -4.02305089e-03 -1.73984230e-01 4.26858552e-02 -1.00205496e-01 9.80282854e-03 9.10584722e-03 -3.80853675e-02 2.34382987e-01 1.79739311e-01 -2.65885424e-02 8.09385329e-02 -2.36182716e-02 9.00256634e-03 2.04599798e-01 1.18357316e-02 -2.70737391e-02 -2.08506808e-01 -6.85913442e-03 -9.06399861e-02 -1.38758188e-02] [-1.23713920e-02 8.04593638e-02 -1.06364027e-01 1.14103846e-01 -6.91957772e-03 2.89725661e-02 1.16292769e-02 6.70725182e-02 -1.73061283e-03 -7.21765356e-03 -2.11535960e-01 -1.63970105e-02 -8.03429168e-04 2.35463873e-01 5.32919876e-02 -1.13642104e-01 -1.62203200e-02 1.67649105e-01 1.35151193e-01 -1.20096266e-01 1.77997410e-01 -1.18498102e-01 8.95680040e-02 1.49590103e-02 -4.23712330e-03 -4.17358335e-03 2.05134183e-01 -1.28266839e-02 8.65477398e-02 4.32918072e-02 -1.82277486e-02 1.44888356e-01 -1.35132791e-02 -6.07279874e-03 -1.84241347e-02 4.61068982e-03 3.39528848e-03 2.49052588e-02 -9.57717188e-03 -9.81709585e-02 -2.04292778e-02 -1.10391816e-02 -5.76262875e-03 -8.59733019e-03 -6.37968536e-03 1.08743057e-01 1.32531688e-01 -8.67688097e-03 -2.66828993e-03 1.38714323e-02 1.44594896e-03 7.85813760e-03 -1.19640194e-02 2.46117311e-03 -4.47243918e-03 4.59157070e-03 -1.86176300e-01 -6.81832805e-03 -5.80263615e-04 -1.50699029e-02 1.94287390e-01 5.99776162e-03 5.26070185e-02 -3.37002147e-03 -1.47436097e-01 1.05444640e-02 -8.63696635e-03 -1.25007266e-02 -8.36412422e-04 -8.99483170e-03 -4.82775737e-03 -1.87226787e-01 -2.77263927e-03 3.40376794e-03 4.37655952e-03 -7.77491296e-05 1.03301458e-01 1.67817213e-02 -4.94529260e-03 1.14331163e-01 -1.97843201e-02 -5.86794242e-02 2.67710607e-03 1.20564654e-01 -1.72860935e-01 9.48430151e-02 9.85408127e-02 4.67642164e-03 -1.70666631e-02 1.59167260e-01 3.51077393e-02 1.28653258e-01 -1.72267165e-02 8.74463120e-04 9.39428713e-03 1.26193836e-01 -6.34907484e-02 -9.74322632e-02 -1.65187307e-02 1.50880456e-01 2.09422000e-02 1.35592232e-02 1.73327789e-01 1.22334331e-01 -2.02163104e-02 -1.55098946e-03 1.92169636e-01 -5.88494178e-04 -1.87851936e-02 -1.40249342e-01 -2.09726822e-02 -1.60293970e-02 -8.57082545e-04 -8.63706023e-02 4.66079488e-02 1.67381287e-01 2.03456700e-01 -1.63406413e-02 5.43945096e-02 -1.76546127e-02 3.73018062e-04 2.46796221e-01 4.50753188e-03 -3.46575342e-02 -2.14320362e-01 -1.93192624e-02 5.21864779e-02 -1.33950738e-02] Cos Similarity tf.Tensor(0.7408601, shape=(), dtype=float32) (128,) (128,) [ 0.12885745 -0.14574835 0.07938194 0.05800914 0.00319367 -0.11789615 0.14712909 0.08941793 0.01449188 0.00361878 -0.00553145 0.00076188 0.00724171 -0.00260649 0.07023463 -0.08804229 -0.00089228 0.09951272 0.16345645 -0.04207676 -0.17343003 0.19020963 -0.15768628 0.09457143 -0.01829681 0.00614484 -0.04228679 -0.0032246 -0.10925477 0.14247325 0.00147019 0.17490867 0.00153433 -0.00193597 -0.0519946 0.01162421 0.00220231 0.17355661 -0.01252779 0.16678306 0.05622787 0.00470209 -0.00124176 -0.00740731 0.08808576 -0.06235121 0.12087364 0.00571582 0.01567648 -0.01785818 -0.00039328 -0.00338201 -0.01019025 0.00786955 0.00990944 -0.00313322 0.18090187 0.00998307 0.0054051 -0.00505146 0.15580317 -0.05259639 0.06986119 0.01489059 0.06698442 0.00831706 -0.00073474 0.20041329 -0.00237907 0.1605623 0.09522603 -0.05582669 0.01814269 0.01436412 -0.00312996 0.02292195 -0.11326324 0.07123395 -0.00234943 0.13053174 0.00289305 -0.00863114 0.00305066 0.16790995 -0.00554393 -0.18097861 0.0603083 0.0165203 -0.00407173 -0.16151863 0.13297036 0.21403037 -0.00217877 0.01760481 -0.01877751 0.10674188 0.03060929 0.0938724 -0.00494924 0.04267382 0.11891432 -0.06653751 -0.09895215 -0.09303118 0.00973453 0.02427617 -0.02081765 -0.00701076 0.00052135 -0.1768834 -0.15605134 -0.18074998 -0.0123529 -0.04770721 0.0203 0.19606139 -0.0338475 -0.01502042 0.20600913 0.00078566 0.01564015 -0.08481064 0.00190289 -0.00905304 0.14015897 -0.0202066 0.00177215 0.00496807] [ 0.07095673 -0.15765747 0.05431578 -0.08316527 -0.03489557 0.14116319 -0.15113997 -0.17743036 0.00679663 -0.00307012 0.17043453 -0.00470397 0.00931274 -0.17146924 0.12495372 0.17160395 0.00351487 -0.18549784 0.01654879 -0.08646655 0.0036169 0.1299679 -0.19352698 -0.08189829 -0.00095243 0.00546599 -0.08864758 -0.05805797 0.19445905 0.04455043 -0.05780768 0.08549913 0.0093492 0.00892866 0.00261797 0.00330151 -0.00056041 -0.05748679 0.00761426 0.05110773 0.02719295 0.00108001 0.01278959 0.00382093 -0.13875218 0.08623642 0.00381656 0.01128615 0.01616436 0.00331015 0.00227563 -0.00256525 0.00365062 0.00895767 0.0081578 0.00421481 0.12968878 0.00907663 0.00742423 -0.00753551 0.02587711 -0.07026515 -0.09833026 -0.00482969 0.11727304 -0.10657696 -0.00778875 0.13545054 -0.01209017 -0.1413453 0.08767986 -0.11482019 0.00908787 0.01050424 -0.00671427 0.00963722 0.12356272 -0.06921302 0.00647713 -0.0825112 0.00078086 0.01733593 -0.01122605 0.15504093 -0.17496476 -0.05715764 -0.19229063 0.00751336 -0.00076266 0.03168569 0.13993257 0.16272797 -0.02234183 -0.00344794 -0.01573492 0.17039868 0.00584204 0.1412128 -0.01589756 -0.13743159 -0.0165167 -0.16480806 -0.03110003 0.11144537 -0.01777473 0.00802713 0.1846995 0.04038059 0.00068706 -0.12103741 -0.14734738 0.12234946 -0.01923597 0.17369053 -0.06241727 0.14146505 -0.16477177 0.00078127 -0.00516718 0.00445854 0.00056516 -0.02624673 0.01954043 -0.01690269 0.08895808 0.05972226 -0.06000575 0.00030771] Cos Similarity tf.Tensor(0.16986036, shape=(), dtype=float32) (128,) (128,) [ 0.19525187 0.1651939 0.09387653 -0.03989238 -0.01093031 0.00145685 0.13123351 0.08909559 -0.00699417 -0.01108419 -0.20732205 -0.01041598 0.00883589 -0.01966255 0.04290168 0.08101863 -0.00515134 -0.01145561 0.16558386 -0.10686913 0.14370993 -0.04796039 -0.02461653 0.03212599 -0.01363682 0.00632351 -0.03884338 -0.01501429 -0.0454758 -0.09554933 -0.18090624 0.08366427 0.00236104 -0.00657097 0.1402283 0.00189528 -0.00338448 -0.1708082 -0.00159733 -0.06792799 -0.12787765 -0.00026706 -0.00293622 -0.0080388 0.04301359 0.21600519 -0.00373623 0.00123146 0.00586301 0.01370434 0.00597136 0.00099033 -0.00575169 0.00670564 -0.01102137 0.01297189 -0.05371509 0.00226554 -0.003737 -0.00705044 -0.04283787 -0.14794214 0.16594833 0.00726284 -0.10700274 -0.16232678 -0.00226397 0.07902795 -0.00311496 0.01780335 -0.00319642 -0.12617676 -0.00414503 0.00664608 -0.01573548 0.01183523 0.13143234 0.13456011 -0.00253202 0.215488 -0.00952753 -0.00510076 0.00667598 0.05607148 -0.21513204 0.07339523 0.2043638 0.00373788 -0.00856604 0.15076356 0.15994617 0.06630109 0.00536436 0.01535006 0.00517266 0.14420319 -0.12315666 -0.17694539 -0.00860463 -0.02497509 0.08729239 0.11609333 0.05076144 0.13705577 -0.02142453 0.00827696 0.12210481 0.00960815 -0.00814052 -0.21526335 0.02532992 -0.08087699 0.00026015 -0.00303524 0.02612767 0.01163625 0.20084092 -0.01322571 0.13849457 -0.01518443 0.0036944 0.095856 0.00589281 -0.01142647 -0.12095148 -0.00818594 0.0129352 0.00157335] [-1.91434212e-02 1.47406325e-01 -9.32205543e-02 -1.41606987e-01 -4.57305135e-03 1.16805024e-01 -1.25393316e-01 6.89506084e-02 7.62115605e-03 -4.49779024e-03 5.02071902e-02 -3.31500615e-03 -2.99647227e-02 -7.03069940e-02 -2.83003855e-03 1.32040873e-01 -1.25743821e-02 -8.24957713e-02 1.73151851e-01 -7.31986463e-02 -1.82765663e-01 1.39905140e-01 8.48223940e-02 -6.61736429e-02 -4.52396981e-02 3.91385006e-03 1.35192022e-01 -2.46743485e-02 -1.65999293e-01 1.67398453e-01 -5.41940220e-02 -8.27558264e-02 -7.31908437e-03 -2.75309794e-02 1.40892074e-01 -4.49660141e-03 -4.82525118e-03 -1.17372699e-01 -8.70347954e-03 -1.55520558e-01 1.87478676e-01 1.12879043e-02 -6.29913341e-03 -9.07874946e-03 3.73893902e-02 -6.00294322e-02 -1.77560337e-02 -1.04040468e-04 2.84604193e-03 4.07177256e-03 1.30962944e-02 1.75146223e-03 -5.83041040e-03 7.07861176e-03 -1.10421628e-02 1.67051833e-02 5.52050993e-02 6.58779778e-03 -8.58208910e-03 4.26810374e-03 -1.68761447e-01 -1.45237371e-01 -5.30030876e-02 -6.34362455e-03 9.86212119e-02 4.55103181e-02 -1.90508980e-02 1.41361102e-01 -7.16229994e-03 -4.41092178e-02 -1.22199945e-01 4.05047052e-02 3.63256945e-03 -1.93536549e-03 -1.44957555e-02 -3.39174154e-03 -1.77941650e-01 6.47122860e-02 -4.01616882e-04 1.68969065e-01 3.72779625e-03 2.73385979e-02 -1.11225620e-02 1.88403264e-01 1.32520989e-01 1.70460686e-01 1.93393946e-01 1.35272332e-02 2.22533732e-03 8.94443989e-02 8.90448987e-02 1.36822611e-01 6.96695223e-03 1.07896468e-02 -5.38402982e-03 -1.64556175e-01 -9.20744315e-02 -5.28146960e-02 -6.40817173e-03 3.94686237e-02 -1.07512407e-01 -9.80776772e-02 -1.89054623e-01 6.53531924e-02 -8.38385895e-03 -1.91252474e-02 -1.78229854e-01 -1.97778679e-02 -7.47077540e-03 -1.05175897e-01 -1.29736573e-01 -8.72868225e-02 -1.15055137e-03 1.34188727e-01 2.70035025e-02 1.29437089e-01 -3.97930965e-02 -8.90514720e-03 -1.14582047e-01 -1.40416306e-02 1.38463685e-03 -9.53542292e-02 2.31332239e-02 2.87573296e-03 1.80570334e-01 6.03074394e-03 8.54627565e-02 -8.03718716e-03] Cos Similarity tf.Tensor(0.040249124, shape=(), dtype=float32) (128,) (128,) [-9.56992358e-02 1.09093577e-01 7.92443752e-02 2.18426973e-01 2.65269838e-02 -9.83846560e-02 -4.96794246e-02 1.66923866e-01 2.51208141e-04 -1.21017487e-03 6.69875890e-02 -3.10670421e-03 2.67012436e-02 3.42784189e-02 5.35166450e-02 -1.59039423e-01 2.65888870e-02 6.64619952e-02 1.71652481e-01 -1.80691183e-01 -8.83648917e-02 -1.07296392e-01 1.57621428e-01 -2.25638766e-02 3.66124138e-02 -4.52622958e-03 -6.37247041e-02 1.91708002e-02 2.24569673e-03 1.77363098e-01 -1.55659243e-01 1.19402707e-01 -6.21992350e-03 1.72277894e-02 -1.57158390e-01 -2.19646618e-02 3.16794664e-02 1.01255048e-02 -4.38316427e-02 1.77018479e-01 -2.92547466e-03 1.23631572e-02 1.91391166e-03 -1.76817167e-03 2.02010080e-01 -4.82046679e-02 1.28906583e-02 -1.04939551e-04 1.89724173e-02 2.39339918e-02 1.48307709e-02 2.25450825e-02 8.63570441e-03 1.60971843e-02 1.35693867e-02 9.32507776e-03 1.24781594e-01 -1.08613744e-02 3.27331224e-03 3.08296960e-02 -1.58443168e-01 1.74583361e-01 -1.26311049e-01 1.07568502e-02 2.77588721e-02 -1.83324799e-01 1.25335129e-02 -7.45772198e-02 2.34964360e-02 2.17575148e-01 -6.74556866e-02 1.42625928e-01 -8.14041123e-03 3.37732546e-02 1.65736750e-02 1.05024381e-02 1.33258775e-01 8.70530531e-02 -9.66169871e-03 -1.22759238e-01 7.54951779e-03 3.17437248e-03 1.24486387e-02 -1.19920947e-01 8.40142295e-02 -1.41923621e-01 5.58200330e-02 8.70650075e-03 7.74433697e-03 9.36503559e-02 -8.89302269e-02 -1.17106251e-01 5.33343107e-03 1.33578200e-02 2.58307420e-02 1.09450236e-01 1.83367413e-02 -1.07084200e-01 1.99322253e-02 1.10981539e-01 -8.46786126e-02 -1.12214461e-02 1.80266321e-01 -3.47211845e-02 1.70013979e-02 -1.31860320e-02 8.21776614e-02 -1.45074604e-02 3.72698270e-02 2.06104845e-01 2.52374704e-03 1.14346154e-01 -1.20747825e-02 -1.20257862e-01 -3.32842581e-02 -4.05905396e-02 -5.34812100e-02 1.76564753e-02 -4.80245501e-02 4.76317890e-02 -1.26704536e-02 1.75929174e-01 2.63171294e-03 -4.41154512e-03 -1.69271901e-01 -2.76038405e-02 -9.61596668e-02 7.05348561e-03] [-8.35899636e-02 1.08404204e-01 4.64150384e-02 2.20391199e-01 2.95722634e-02 -1.05091497e-01 -4.04637717e-02 1.75833851e-01 4.88483161e-03 -9.56567191e-03 1.27313718e-01 -8.15160820e-05 1.88359246e-02 5.16709425e-02 1.79789197e-02 -9.79893133e-02 2.07204241e-02 4.06461395e-02 1.67799160e-01 -1.81838483e-01 1.66801736e-02 -1.19042382e-01 1.63216278e-01 -4.68114577e-03 3.42841968e-02 -1.55254537e-02 -4.57909033e-02 1.49541590e-02 1.57826897e-02 1.88368157e-01 -1.36010095e-01 6.55002370e-02 -1.91020649e-02 4.01555561e-03 -1.76985130e-01 -4.21373472e-02 3.26182544e-02 2.73635834e-02 -3.55235189e-02 1.69118077e-01 -3.80273238e-02 6.72617462e-03 1.80114375e-03 -1.77313096e-03 2.07864404e-01 5.66297360e-02 1.13630369e-02 -7.64870178e-03 1.77502800e-02 2.41095833e-02 1.13589913e-02 2.06290502e-02 -1.99608575e-03 1.31181926e-02 7.08642509e-03 2.53120624e-03 1.31834611e-01 -1.18881734e-02 1.08721491e-03 2.80346125e-02 -1.62744164e-01 1.76208690e-01 -1.19111337e-01 8.29026289e-03 2.72401199e-02 -1.84423879e-01 9.19422228e-03 -7.05747828e-02 1.73760150e-02 2.20204458e-01 7.78320283e-02 1.43100545e-01 -4.98015992e-03 2.97183320e-02 1.99025795e-02 6.92019984e-03 8.49734247e-02 9.26428288e-02 -9.81334597e-03 -5.38831577e-02 3.83485667e-03 2.55295774e-03 1.41199678e-02 -1.27853587e-01 1.05087124e-01 -1.31667614e-01 1.71968922e-01 8.40680487e-03 1.92889851e-03 7.53615424e-02 -7.74872005e-02 -8.52839798e-02 8.38252064e-03 1.03603853e-02 1.60082150e-02 6.00232184e-02 -7.82165956e-03 -6.23325594e-02 1.44777084e-02 -3.09152119e-02 -1.34685144e-01 8.38104412e-02 1.87179476e-01 -4.01265621e-02 1.39006153e-02 -9.28339921e-03 8.73452947e-02 -1.24276383e-02 2.82616317e-02 2.12470487e-01 2.30125082e-03 1.30947873e-01 -1.46038746e-02 -1.00249402e-01 -2.46257186e-02 -1.00352101e-01 -1.07227840e-01 2.30273772e-02 -4.39839177e-02 4.00061533e-02 -8.16625357e-03 1.88745260e-01 -4.23226599e-03 -5.06556779e-03 -1.82790115e-01 -2.03301944e-02 -8.92611220e-02 8.59076623e-03] Cos Similarity tf.Tensor(0.9349321, shape=(), dtype=float32) (128,) (128,) [ 0.02631917 -0.15819958 0.12876894 0.06371456 0.00107181 -0.01370593 -0.14120746 0.10172471 0.03337559 0.00954823 0.03822538 0.04039779 0.0190343 -0.12667611 0.13876918 0.00604568 0.02060074 0.05960836 -0.12791213 -0.0906523 -0.16106565 -0.06310176 -0.01142757 -0.15120843 0.02237774 -0.00087472 -0.10646265 0.00636472 -0.14301026 -0.14788118 -0.0034136 -0.02537264 0.02834282 0.01594705 -0.16920508 0.002101 0.02567955 -0.15047754 -0.04849524 0.10255265 0.06754752 0.01666157 0.01387681 -0.02094644 -0.00108468 0.09677099 -0.10625734 0.0262913 0.03820986 0.04174882 0.01212494 0.00684997 0.05015283 0.02506916 0.0190864 0.01930889 0.19416839 -0.00041689 0.0099328 0.02351664 0.12745441 -0.12967308 -0.17971249 -0.00647276 -0.14633662 -0.05938596 0.0136313 -0.10515805 0.02307029 0.12554947 0.05158029 0.16588417 0.00445138 0.04346586 0.00342234 0.01506874 -0.07945687 -0.15109703 -0.02540581 -0.10276371 0.00599873 -0.00050323 0.01056902 0.13206846 0.14030203 0.0646054 0.14892502 0.01087202 0.00655363 0.11498452 0.05940063 0.18382184 0.0155583 0.02287287 0.04541343 0.12644549 0.13916832 -0.03966718 -0.0131069 0.03568776 0.15030456 -0.19424132 0.16272524 0.13543274 0.0189924 0.02510378 -0.1785933 0.01711084 -0.00311774 0.13659872 -0.1705333 0.03972416 0.00687664 0.08192781 -0.01275333 0.13964777 -0.05940434 -0.0040971 0.14077322 0.03966766 0.03143689 0.11110084 0.04491874 0.00801601 -0.08849975 -0.01205766 -0.0015291 0.00550458] [ 0.14979903 -0.16556849 0.15891273 -0.1447245 -0.01245371 -0.05026442 -0.14980462 -0.01490464 0.011214 0.00206665 0.06740975 0.02461015 -0.00616568 -0.0235404 0.10929074 0.01373719 0.00249274 0.01937837 0.14134972 0.03192822 -0.05846192 -0.15194157 -0.14967498 -0.16080546 -0.02300632 0.0060116 -0.1289624 0.01212041 -0.17426012 -0.17855154 -0.13218626 -0.17092149 -0.02840045 0.00920169 -0.17026906 -0.00311951 0.00751933 -0.09908759 -0.03002631 -0.06638559 -0.10477002 0.00193427 0.00506948 -0.01736783 0.11046332 0.10917735 -0.11554258 0.01671708 0.01847075 0.03029641 0.00444544 -0.00110496 0.00929815 0.00657743 0.01011793 0.01884853 0.15853065 0.01597474 0.02273589 0.00356815 0.1447929 0.05720193 -0.12727065 0.01437564 -0.13618134 0.07097007 0.00777991 0.17134398 0.01119046 0.1298844 0.10752272 0.18529148 -0.00410039 0.0237248 -0.01481973 0.02370271 -0.06104484 -0.00164085 -0.01292272 -0.01442971 0.00067614 0.0020298 0.00865189 0.16379108 0.09157497 0.01538127 0.06381196 0.00810669 0.00259866 0.12671673 0.01640188 0.15391599 0.00803101 0.01002745 0.01611489 -0.03079361 0.09187839 -0.12112158 0.00591609 0.17326063 0.18374792 -0.17974688 0.07524709 0.12473274 0.00480119 0.01567308 -0.16941792 0.00624847 0.01277524 0.07650016 -0.02105766 0.04967651 -0.00478117 0.15806776 0.11719976 0.094033 0.08612578 -0.01337267 -0.1769619 0.01376477 0.01055684 0.02941525 0.01589181 0.0009397 -0.05314093 0.04915567 0.03985905 0.00717025] Cos Similarity tf.Tensor(0.61179745, shape=(), dtype=float32) (128,) (128,) [ 1.69052303e-01 9.50660035e-02 -8.25778544e-02 5.11820875e-02 -2.17542090e-02 -1.47352656e-02 2.30543148e-02 -1.57767013e-01 -4.44939639e-03 -1.57478673e-03 -1.24063194e-01 1.84630009e-03 8.09796527e-03 -1.61815137e-01 -2.00762525e-02 -1.76206827e-01 1.90896876e-02 1.72104035e-02 -1.04829922e-01 -1.81212902e-01 8.19807351e-02 -7.00445026e-02 -9.75267515e-02 -5.46110086e-02 7.31299724e-03 1.95507612e-02 2.26535484e-01 -1.21102827e-02 -1.83756337e-01 -3.65471281e-02 -1.28286391e-01 -1.11246280e-01 -1.06024658e-02 -4.79284936e-04 -8.39160308e-02 2.81697605e-02 -3.04905977e-03 1.45993814e-01 3.56998970e-03 -1.61816522e-01 1.93478435e-01 5.06306812e-03 -7.66448257e-03 2.61565838e-02 6.50077909e-02 -1.25625238e-01 -8.51252396e-03 -1.14051029e-04 1.81776267e-02 2.20419886e-03 1.12841679e-02 -6.99500844e-04 8.94932542e-03 1.57657322e-02 1.33997994e-02 2.38445401e-02 -2.70219557e-02 -9.50452406e-03 9.21852142e-03 -8.21143156e-04 1.32419039e-02 6.40386492e-02 4.33979481e-02 -1.00972801e-02 2.74058953e-02 -2.03301564e-01 -2.12948509e-02 2.20906302e-01 -2.30723768e-02 -9.07352269e-02 5.55366930e-03 -1.51956037e-01 -1.00902980e-02 1.32965362e-02 -9.64559987e-03 2.14818679e-02 -2.20134563e-04 -7.30972812e-02 -1.09020034e-02 4.56283130e-02 -1.19771836e-02 -9.28817596e-03 1.30570363e-02 -3.44706587e-02 1.62602320e-01 1.33848861e-01 -6.02490045e-02 2.13372596e-02 -1.75143534e-03 -1.73805252e-01 -2.16337934e-01 -7.08543956e-02 4.00664052e-03 2.14522872e-02 -2.69110338e-03 9.38871279e-02 3.58224032e-03 -1.89757183e-01 -1.16673077e-03 -2.05148719e-02 1.88967690e-01 9.34110582e-03 1.38608590e-01 6.10014722e-02 -7.42357399e-04 -9.50989872e-03 9.39838141e-02 2.35759597e-02 7.76357530e-03 3.54062766e-03 2.03892767e-01 -6.59508854e-02 1.55438129e-02 -1.18464537e-01 -1.11032851e-01 1.00562356e-01 1.80689245e-01 -1.09740207e-02 -1.81062564e-01 -5.01512848e-02 5.96895069e-03 -9.74753033e-03 3.41194794e-02 2.60169283e-02 -7.30062276e-02 1.94655894e-03 1.01998895e-01 -2.66289413e-02] [ 1.89249575e-01 1.14855692e-01 -1.36614844e-01 1.10256467e-02 -1.49641735e-02 -7.85604194e-02 5.84163815e-02 -1.36031270e-01 -8.60569824e-04 6.70452230e-03 -2.15105295e-01 -1.24587929e-02 1.77733433e-02 2.04095170e-01 -5.07392064e-02 -1.92512393e-01 1.07434066e-02 -1.28147081e-02 -2.82557793e-02 -1.34908035e-01 2.15189904e-02 8.15259144e-02 -3.56155029e-03 8.46845936e-03 2.33806223e-02 2.10976694e-03 2.05024347e-01 4.88596736e-03 -2.00999171e-01 -1.87992349e-01 -4.11850698e-02 -6.33537695e-02 4.10086429e-03 1.92568321e-02 -2.48223133e-02 2.43117064e-02 1.82190409e-03 1.69994369e-01 -1.59291290e-02 1.51501363e-02 1.04280002e-03 -1.90526701e-03 -1.05057787e-02 4.22910461e-03 1.93377808e-01 -1.41228661e-01 -2.92589143e-03 -1.20097166e-02 1.19208461e-02 1.52057847e-02 2.60056974e-03 -9.43223422e-05 -8.32352880e-03 6.35663327e-03 1.55040985e-02 2.15104409e-02 -1.37210518e-01 2.36137491e-03 2.30829115e-03 6.98933238e-03 -1.76103283e-02 1.43581793e-01 5.59263937e-02 -9.77533776e-03 -1.02246903e-01 -1.62488356e-01 -1.58110075e-02 5.93646839e-02 -2.84934090e-03 -1.80271551e-01 -3.32565904e-02 -1.11551113e-01 -8.17658007e-03 9.51192807e-03 6.08713541e-04 8.08072183e-03 -3.19302641e-02 -3.69006544e-02 -2.26270384e-03 1.28906578e-01 -1.44231888e-02 -1.26791708e-02 -4.47940547e-03 -3.42231896e-03 2.06984296e-01 1.24976426e-01 -6.65891245e-02 1.34701524e-02 -5.55776816e-04 -2.96905637e-02 -2.43418083e-01 2.12355312e-02 6.01282623e-03 2.60081664e-02 2.19392497e-02 -1.54510468e-01 7.14962138e-03 -4.82477546e-02 9.60895617e-04 1.47302940e-01 1.04495279e-01 6.71968237e-02 3.07986792e-02 -9.10446122e-02 -1.01892818e-02 -1.78409310e-03 6.17574491e-02 5.94410114e-03 2.79252441e-03 7.95694813e-02 9.64921564e-02 5.60626835e-02 -8.23405664e-03 -2.19777122e-01 3.89632490e-03 -1.24075003e-02 1.55309260e-01 1.31012034e-02 -2.39564404e-01 -3.02977078e-02 2.59692501e-03 1.29243255e-01 -8.90504103e-03 3.69297434e-03 4.25982438e-02 -1.90903358e-02 1.24938168e-01 -1.31906187e-02] Cos Similarity tf.Tensor(0.64204776, shape=(), dtype=float32) (128,) (128,) [-1.82573646e-01 8.87329280e-02 -9.19108018e-02 4.15344946e-02 1.07871192e-02 -5.30451536e-02 1.05841652e-01 1.24903411e-01 -1.07765282e-02 2.35998258e-03 -1.61735699e-01 -2.48676422e-03 -1.46490906e-03 2.05728799e-01 4.92075458e-02 -5.95227033e-02 -7.96674099e-03 3.06028686e-02 1.34449035e-01 1.05224252e-01 -1.11349896e-01 -1.00126684e-01 9.68269035e-02 -3.68483402e-02 -1.14390673e-02 -6.50442438e-04 1.27303764e-01 -7.28201400e-03 1.39551446e-01 2.56679673e-02 -7.79369175e-02 1.51372060e-01 -1.91956498e-02 -5.45760989e-03 1.46848693e-01 4.42717737e-03 -2.32813950e-03 -5.28379381e-02 -1.40099699e-04 -1.98193677e-02 3.33889350e-02 -1.31763155e-02 1.81412732e-03 -1.32250087e-02 1.95324227e-01 6.52787387e-02 -5.83303943e-02 -6.02522912e-03 -4.51377081e-03 1.47727765e-02 8.85598361e-03 8.71982984e-03 -1.81088950e-02 7.42726843e-04 -1.18974727e-02 1.44604715e-02 -9.15393978e-02 -1.52086467e-02 -1.18224055e-03 -1.36994617e-02 -1.00141935e-01 -1.61657095e-01 7.74574652e-02 5.08733792e-03 -4.33594584e-02 2.10765511e-01 -9.59423278e-03 -1.43832937e-01 -7.91704515e-04 1.04269817e-01 -4.92134839e-02 1.14298299e-01 6.69940980e-03 2.15269160e-03 4.25403379e-03 -3.69304721e-03 1.93344861e-01 1.25507176e-01 3.98824550e-03 1.98389202e-01 -2.62458343e-02 4.16864641e-03 -1.15275802e-03 3.58809307e-02 -1.24458976e-01 1.23004109e-01 1.29743904e-01 4.56375582e-03 -8.62403121e-03 1.24522641e-01 1.03183016e-02 2.29160354e-01 -1.47974994e-02 5.79368137e-03 1.42359743e-02 1.52687699e-01 1.59450006e-02 -3.26797813e-02 -7.53864832e-03 3.45050916e-02 6.84740674e-03 1.78315699e-01 1.62266940e-01 1.60018519e-01 -3.95448646e-03 -1.76564902e-02 7.93991387e-02 7.69834034e-03 -8.54538940e-03 -1.50660858e-01 1.81716625e-02 -2.06953250e-02 -1.66838418e-03 -2.27525428e-01 -1.03272041e-02 1.59141570e-01 2.10815325e-01 -1.03935665e-02 -2.23920401e-02 -7.65063521e-03 3.70931841e-04 1.44063517e-01 -2.72744219e-03 -2.47449521e-02 -4.47084494e-02 2.97212619e-02 1.75847579e-02 -4.69082780e-03] [-7.51267299e-02 2.95535550e-02 3.96105740e-03 -2.05916278e-02 -7.21395668e-03 -5.89103438e-02 9.31318849e-02 5.54935075e-02 2.00730119e-05 1.74336543e-03 -2.02565193e-01 -1.48209813e-03 1.32567296e-02 6.20461293e-02 -7.38938227e-02 -1.14385158e-01 -6.81980979e-03 5.42551689e-02 1.30870029e-01 -1.69407427e-02 -2.93130055e-02 -1.63849577e-01 5.02457619e-02 -9.02192108e-03 1.38946911e-02 -2.63842801e-03 1.48319781e-01 -2.38297116e-02 1.63279831e-01 -1.18769653e-01 -1.96295500e-01 2.03580365e-01 -6.39894838e-03 1.56950609e-05 2.79733613e-02 7.79047899e-04 -1.37623213e-03 -1.16349690e-01 1.02014316e-03 -6.79103658e-02 -4.78714965e-02 -4.82305093e-03 -8.32101144e-03 3.24057834e-03 3.95463780e-02 2.01173037e-01 -3.35313566e-03 1.05652502e-02 8.77114758e-03 2.73502748e-02 6.31154142e-03 6.35025697e-03 2.52294005e-03 5.11291996e-03 -2.97094020e-03 7.34521123e-03 1.40234351e-01 -8.55689030e-03 6.77255215e-03 -7.79518532e-03 -2.17606500e-02 -1.65075660e-01 2.60003991e-02 8.01766198e-03 -1.10123493e-01 3.71450223e-02 -1.96515378e-02 7.27431700e-02 4.94889682e-03 -1.20421322e-02 4.86699902e-02 -8.82797968e-03 -5.73644601e-03 2.74788565e-03 -4.05690959e-03 -1.95292861e-03 1.76129654e-01 2.91202758e-02 -7.17483181e-06 1.86910301e-01 -8.50757677e-03 -1.06551629e-02 9.50495526e-03 -1.84736401e-01 -2.11021528e-01 1.35898620e-01 9.34691504e-02 4.51670866e-03 -8.49968474e-03 1.29212573e-01 1.00913737e-03 1.20063111e-01 -6.48935605e-03 5.00561530e-03 6.12530950e-03 1.69273943e-01 -3.62889282e-02 -1.44164279e-01 -1.18888104e-02 -1.42468393e-01 1.26511052e-01 1.64839774e-02 1.22774415e-01 1.67305857e-01 -3.52298352e-03 -2.70557706e-03 2.10043848e-01 -1.40042068e-03 3.02065164e-03 -2.23588005e-01 2.42229924e-02 -3.75959091e-02 -3.58376390e-04 -5.18946461e-02 2.69295666e-02 1.72900438e-01 1.34475797e-01 -8.29978846e-03 1.40144423e-01 -2.50509870e-03 7.76854227e-04 1.89722404e-01 -7.66846631e-03 -3.04481369e-02 -2.11402237e-01 2.82453764e-02 -2.56888401e-02 -7.98351318e-03] Cos Similarity tf.Tensor(0.6553842, shape=(), dtype=float32) (128,) (128,) [-8.75945315e-02 1.27078235e-01 4.24118042e-02 1.97184104e-02 8.04484822e-03 6.62917048e-02 -3.13630886e-02 4.31371816e-02 3.78853455e-03 2.14928412e-03 -2.07896337e-01 -1.45863220e-02 1.80109404e-02 -1.13174900e-01 1.61826480e-02 1.12902068e-01 1.02615617e-02 1.76845059e-01 6.08206652e-02 -7.39305019e-02 9.35817063e-02 3.37683875e-03 -1.73271775e-01 1.42765911e-02 2.16535060e-03 3.09736497e-04 -6.48067072e-02 -1.43547868e-02 1.91185594e-01 1.41877457e-01 -8.47064704e-02 1.78897575e-01 -1.83749162e-02 -3.51593643e-02 -8.98888260e-02 6.37664972e-03 2.98775779e-03 -1.98316082e-01 -1.25963539e-02 4.32998948e-02 1.70007840e-01 1.01764752e-02 2.13515086e-04 -6.26199320e-03 -9.43043754e-02 3.22077237e-02 9.06710401e-02 5.42057538e-03 9.95386858e-03 2.72860136e-02 1.31820114e-02 9.70387552e-03 1.20059773e-02 9.68433730e-03 8.80157202e-03 7.87748210e-03 1.33571014e-01 -1.61248427e-02 5.48044406e-03 9.74973664e-03 2.29200665e-02 1.15798041e-01 2.00864032e-01 6.66899513e-03 5.81764504e-02 7.38199381e-03 3.08130798e-03 5.66928321e-03 1.93790514e-02 -8.34502578e-02 -6.43031672e-02 -5.71118183e-02 -4.42650076e-03 -1.22908631e-03 1.12542920e-02 7.03975325e-03 -6.40891027e-04 1.06473669e-01 2.15743599e-03 1.94298133e-01 -8.11098050e-03 -2.28902623e-02 8.23575631e-03 1.61773399e-01 -1.67859390e-01 -1.25182405e-01 1.61057562e-01 1.58653054e-02 -1.09188901e-02 2.95165367e-02 1.47434190e-01 1.39011621e-01 2.64725205e-03 4.25360166e-04 -2.28036754e-03 4.79710326e-02 -5.70623428e-02 -1.43160105e-01 -3.87845235e-03 -9.05532166e-02 1.89799547e-01 -1.04721144e-01 1.63902000e-01 1.43385559e-01 -6.20695949e-03 -1.68260448e-02 2.17313513e-01 -8.16367043e-04 1.86340255e-03 4.37999293e-02 -1.87100470e-01 -6.52201399e-02 -1.09708065e-03 1.07700557e-01 -1.59117896e-02 9.17014778e-02 4.44350690e-02 -1.16636127e-03 1.31381124e-01 1.15300091e-02 8.19558278e-03 1.92545712e-01 -2.22563907e-03 -1.50330383e-02 -2.08933920e-01 2.04676297e-02 -3.11918557e-03 3.43686785e-03] [-1.49064690e-01 4.60215881e-02 7.80089721e-02 9.54806525e-03 1.10124061e-02 -7.18054101e-02 -2.79017128e-02 4.15997133e-02 -4.35443735e-03 2.87116598e-03 -2.10895136e-01 -6.13421109e-03 1.89537518e-02 -9.52532440e-02 4.12516110e-02 -1.27452938e-02 1.25494050e-02 1.29275173e-01 1.65054739e-01 -7.90972188e-02 1.70843732e-02 -1.33597642e-01 -1.25529304e-01 9.60507803e-03 3.30432318e-03 -4.53066226e-04 7.54463896e-02 -1.09735811e-02 1.33911535e-01 4.72501032e-02 -1.72846645e-01 2.09462911e-01 -1.29801324e-02 -1.80773903e-02 -2.57002972e-02 1.44466069e-02 9.58618149e-03 -2.11960807e-01 -1.47024523e-02 -1.59035716e-02 1.09693497e-01 4.55900561e-03 -6.35728147e-03 -6.23036467e-04 -8.02260488e-02 9.42448229e-02 4.98673804e-02 8.40586610e-03 9.07630567e-03 2.74897721e-02 1.46044344e-02 1.10487752e-02 1.41527932e-02 1.08463522e-02 3.83223663e-03 8.83457717e-03 1.32269235e-02 -1.43171130e-02 1.27280294e-03 1.29693141e-02 3.63954785e-03 -1.33380100e-01 2.02656761e-01 7.98162539e-03 -1.45457193e-01 1.43086333e-02 2.75316113e-03 5.03972499e-03 1.91885754e-02 3.65791209e-02 -7.48075247e-02 -1.43399045e-01 -5.32034785e-03 -7.07346201e-03 9.64346621e-03 4.58281767e-03 -7.58769643e-03 7.98989832e-02 -2.59226747e-03 2.02956766e-01 -3.88797675e-03 -4.34683897e-02 9.15426668e-03 8.57963562e-02 -1.76957354e-01 6.39460310e-02 1.76229313e-01 1.21486541e-02 -1.51277995e-02 1.29348651e-01 2.89141499e-02 8.51284266e-02 2.05082446e-03 5.84346661e-03 8.85742530e-03 2.06984952e-01 -1.22076705e-01 -1.87217131e-01 2.13934178e-03 -1.49103934e-02 1.82794943e-01 -7.13723004e-02 1.31849855e-01 1.11783795e-01 -5.47382236e-03 -2.52294913e-02 2.20202878e-01 9.08616930e-05 8.49945471e-03 -1.65144697e-01 -1.46042824e-01 5.11911064e-02 4.94192878e-04 4.86127473e-02 -1.96546111e-02 3.93651389e-02 7.43698003e-03 -8.69493652e-03 1.41140908e-01 1.13226175e-02 8.36698432e-03 2.06336737e-01 -3.77560791e-04 -1.01713901e-02 -2.13372573e-01 7.18757361e-02 -7.66527653e-02 1.17656076e-03] Cos Similarity tf.Tensor(0.7638135, shape=(), dtype=float32) (128,) (128,) [ 1.86114222e-01 -1.68745279e-01 -4.60113544e-04 -1.93416715e-01 -1.92285050e-02 4.85941395e-03 -1.61350384e-01 8.56253952e-02 1.20158819e-02 1.50516268e-03 -1.49680898e-01 -1.21236639e-02 9.75594958e-05 1.14357499e-02 -3.26415822e-02 2.06535030e-02 2.04853136e-02 1.21646732e-01 -1.45264005e-03 8.85522459e-03 5.54086901e-02 -1.71410918e-01 -6.75228387e-02 -4.66643721e-02 1.90771930e-02 1.77931935e-02 1.86764479e-01 7.57423649e-03 4.26233076e-02 3.06623820e-02 1.49798214e-01 -2.07384899e-01 -1.34962390e-03 -1.20538683e-03 -1.47119984e-01 -2.43097711e-02 -1.15561886e-02 -3.68287601e-02 -2.95693111e-02 8.13521966e-02 1.59732103e-02 3.15633230e-03 -2.76957285e-02 -4.07513976e-03 7.85573572e-02 -1.82345986e-01 -2.14681700e-02 -5.12834638e-03 2.19958741e-02 -1.87445469e-02 3.74059193e-04 3.89842724e-04 -6.65376475e-03 1.35304276e-02 1.06325140e-02 1.70214623e-02 -1.19340166e-01 -3.04686883e-03 -4.10267239e-04 -9.46070359e-04 -6.74759299e-02 2.70089451e-02 1.38078287e-01 1.92923713e-02 1.29248127e-01 3.19728777e-02 8.54861082e-06 1.23296240e-02 -1.45220279e-03 -7.23830611e-02 1.60792902e-01 1.11424498e-01 -1.10390887e-03 2.58988664e-02 -1.76428687e-02 1.01635782e-02 -1.53450683e-01 -5.82945868e-02 -7.57566141e-03 -1.06272690e-01 -1.24384928e-02 -2.59449333e-03 1.15813902e-02 -4.54640463e-02 2.24709176e-02 -2.01386049e-01 9.54665467e-02 3.32792499e-03 -1.00995619e-02 -3.16704214e-02 1.43918350e-01 -5.03561273e-02 1.64402705e-02 1.73056629e-02 4.68578516e-03 -1.81781948e-01 -1.60844952e-01 -2.02195346e-01 3.38061899e-03 1.17077909e-01 1.87101096e-01 -2.32464820e-02 1.55189231e-01 5.97579256e-02 6.52467692e-03 2.89297421e-02 4.39782701e-02 -5.52683137e-04 1.18405689e-02 -1.83321774e-01 -2.02472791e-01 -1.95212319e-01 1.61173511e-02 4.05148342e-02 -5.89952059e-02 1.59648284e-01 1.30927086e-01 -1.32841235e-02 1.81775272e-01 -2.11067386e-02 2.19189376e-02 -3.32446471e-02 -1.33001180e-02 1.12687536e-02 -9.53525081e-02 8.01528469e-02 -2.70336363e-02 -2.46909400e-03] [ 0.00850014 -0.2051749 -0.09722859 -0.09301921 -0.03135898 0.1785741 -0.187 0.13987346 0.01654799 0.00217534 -0.08347055 -0.01813067 0.00429247 -0.01456611 -0.07209726 -0.02774141 0.00851057 0.03040688 0.11763836 -0.08861756 -0.01592314 -0.04617399 -0.02812976 0.08558902 0.00365529 0.01170944 0.16690144 0.00032865 0.09392051 -0.16936651 0.20200567 -0.23328544 -0.00401266 -0.0442305 -0.1448566 -0.03853191 -0.00216546 0.00113266 -0.01963479 -0.06124789 0.05547538 0.01870692 -0.02452207 0.00452965 -0.00903992 0.021959 -0.08633275 -0.011253 0.01327687 -0.01887496 -0.00199074 0.00228305 -0.01740619 0.00752545 -0.00077796 0.01370283 -0.08138712 0.00205114 -0.0060289 -0.01337288 -0.17847355 0.11687213 0.0615431 0.01631578 0.17660367 -0.0679851 -0.00262215 -0.0098132 -0.01053457 -0.01726249 0.17594953 0.19265337 -0.00386937 0.02401543 -0.00652058 -0.01026326 -0.21141586 0.06920966 -0.01019162 -0.06954614 -0.01132374 0.00365149 -0.00538438 -0.03474035 0.02865259 -0.16023606 0.14353676 0.00711216 -0.01440327 -0.14552942 0.21485786 -0.00321992 0.01328133 0.01792835 -0.00463567 -0.02403189 -0.18545589 -0.12771338 -0.00167138 0.07477454 0.17283742 0.10317988 0.06218771 -0.01352846 0.00391924 0.00754361 -0.02752356 -0.00469084 -0.00558948 0.05578222 -0.18603417 -0.238841 0.005389 0.187222 0.02075665 0.09814429 0.09536827 -0.01026974 0.12902646 -0.01487839 0.00291168 -0.01507434 -0.00755114 -0.01728076 0.0098932 0.00047395 -0.03416361 0.00198765] Cos Similarity tf.Tensor(0.7129382, shape=(), dtype=float32) (128,) (128,) [ 1.03900731e-01 1.78304985e-01 2.81836633e-02 2.36107111e-01 -5.44436555e-03 1.91359609e-01 8.81868824e-02 1.52403355e-01 -6.09703315e-03 -1.93530712e-02 -1.19963035e-01 -1.27811972e-02 -9.34768841e-03 2.25667059e-01 -2.56662443e-02 2.93678716e-02 -8.81113764e-03 5.98152690e-02 -6.52079582e-02 -1.40886903e-01 8.00073966e-02 -7.90716633e-02 6.93678111e-02 6.05590921e-03 7.06429966e-03 -9.27982212e-04 8.27564746e-02 3.15726269e-03 1.29255116e-01 2.98185670e-03 -1.83745027e-01 -1.60850704e-01 -1.38511229e-02 5.45774307e-03 1.93657249e-01 -1.72597505e-02 1.38498135e-02 1.37144566e-01 -1.26069942e-02 -3.28126065e-02 -4.41560857e-02 -1.69574320e-02 3.21354251e-03 -5.53141395e-03 -6.45868927e-02 8.55719298e-02 1.01864308e-01 -2.64074020e-02 -2.10867659e-03 -2.91225803e-03 -2.05484382e-03 8.56477860e-03 -6.70355791e-03 3.24691879e-04 3.90772911e-04 9.88176093e-03 -2.02579826e-01 -3.74881877e-03 -9.27393883e-03 -9.82609950e-03 -1.07190020e-01 1.86604455e-01 1.51241114e-02 -1.37248924e-02 -1.57629117e-01 3.14352773e-02 -2.78448220e-03 5.23265339e-02 -2.72981706e-03 2.40322769e-01 3.52618992e-02 2.34560519e-02 2.32566637e-03 4.55920817e-03 6.55655377e-03 1.06624737e-02 7.37066269e-02 -3.43293771e-02 4.30603832e-04 -2.05392763e-01 -1.55261969e-02 2.35260744e-03 3.10862553e-03 -2.29613599e-03 -7.98243284e-02 -8.76040831e-02 1.62343621e-01 5.08479599e-04 -1.16637684e-02 6.47484139e-02 -3.83619331e-02 -1.29937544e-01 -1.61445569e-02 8.94184504e-03 1.65550667e-03 2.82186735e-02 2.39100493e-03 8.39444846e-02 -5.68543887e-03 4.17706594e-02 -1.88183576e-01 -4.56069084e-03 1.07816860e-01 1.76591814e-01 -1.65848136e-02 -9.69630375e-04 2.45957337e-02 -1.21112755e-02 -1.99398194e-02 5.84505461e-02 2.61757314e-01 6.63841441e-02 1.51890354e-05 2.16920190e-02 -7.53183067e-02 -5.07907057e-03 -3.66797410e-02 1.07689202e-03 -2.06927121e-01 -2.11980827e-02 3.38440132e-03 5.24606220e-02 7.12884683e-03 -2.99491677e-02 -2.09775686e-01 1.09914336e-02 2.33906563e-02 -1.69402957e-02] [-9.22652036e-02 2.32433379e-01 7.26755932e-02 2.44388014e-01 -9.43588372e-03 -3.10956091e-02 -7.72674009e-02 1.75128892e-01 -1.64451008e-03 -2.82225888e-02 -1.89688593e-01 -1.47340558e-02 -1.19035887e-02 2.74338186e-01 -5.94475046e-02 1.37714967e-02 -1.73973776e-02 -1.57872647e-01 -7.72027895e-02 -1.12129688e-01 -8.86476934e-02 -9.67552736e-02 2.02812761e-01 6.30796049e-03 -6.60997070e-03 1.80163479e-03 3.40317190e-02 -1.35225402e-02 4.50152978e-02 -1.04000546e-01 9.19619948e-03 -1.08082835e-02 -1.36679178e-02 -4.10020165e-03 1.83778629e-01 -1.46030486e-02 6.93853060e-03 -3.41524091e-03 -8.83508287e-03 -4.93423119e-02 -1.65646188e-02 -1.80288665e-02 6.64886553e-04 -6.77462760e-03 1.11995228e-01 -1.90154359e-01 -1.32843526e-03 -3.44228558e-02 -4.73402115e-03 2.24094861e-03 -2.74646212e-04 9.66711063e-03 -2.25864109e-02 6.15059544e-05 -8.96504242e-03 1.15390429e-02 -8.44777450e-02 -7.27193803e-03 -1.50212292e-02 -1.53218117e-02 -8.99632722e-02 1.50133312e-01 2.90490966e-02 -2.78398525e-02 -1.87691212e-01 4.30961028e-02 -1.48436017e-02 3.82998004e-03 -1.99200213e-02 1.00576825e-01 4.62016873e-02 -1.47192448e-01 5.62006794e-03 5.77782746e-03 -6.35550218e-03 5.08946879e-03 1.00196689e-01 -1.70909777e-01 -1.24359468e-03 -5.51999770e-02 -3.08018103e-02 7.63122737e-02 -7.64225051e-03 -9.02332366e-03 -1.08666450e-01 -1.61681566e-02 2.09508941e-01 1.49392558e-03 -1.74999963e-02 3.85728851e-02 -9.39166546e-02 -1.86222047e-01 -3.46936248e-02 1.00011192e-02 5.89258084e-03 1.07489318e-01 1.92237319e-04 -1.11436427e-01 -1.64166708e-02 -7.31874034e-02 -1.51629373e-01 -7.35549405e-02 2.21187264e-01 -2.05087569e-02 -1.88383739e-02 2.80671957e-04 3.82908434e-02 -1.44623620e-02 -3.88018265e-02 8.23344439e-02 3.10216427e-01 1.85892843e-02 -1.15948366e-02 3.60890217e-02 -5.31069748e-02 5.05605042e-02 8.70164484e-03 -5.10723935e-03 -1.19295523e-01 -3.19409370e-02 9.39319655e-03 -1.13102037e-03 6.36635674e-03 -2.71247439e-02 -1.10107571e-01 2.98565673e-03 2.22988259e-02 -2.30346825e-02] Cos Similarity tf.Tensor(0.63734007, shape=(), dtype=float32) (128,) (128,) [ 1.69191927e-01 -1.88297704e-01 7.82535821e-02 -8.92027840e-02 -6.59012143e-03 2.34948136e-02 3.24672274e-02 -1.04719006e-01 1.11362152e-02 -2.93106306e-03 -2.12478295e-01 -1.00645749e-02 -2.66719870e-02 5.71385324e-02 2.36702431e-02 3.77596985e-03 -6.93423906e-03 8.86817202e-02 1.55916303e-01 1.62491903e-01 2.33916733e-02 -1.20721057e-01 -4.99281026e-02 -2.18869492e-01 -1.26381302e-02 2.31015030e-03 -2.04252228e-01 1.64961815e-02 -1.97596729e-01 -1.54453009e-01 -7.81310648e-02 -2.28530437e-01 -1.59161761e-02 -4.92111035e-03 1.96807403e-02 3.07457596e-02 -5.09389630e-03 -6.33749515e-02 7.67600862e-03 -1.29316434e-01 -6.40438348e-02 1.47322053e-03 -2.70916009e-03 1.57021414e-02 2.72447374e-02 -1.34914622e-01 1.51524320e-01 2.17221379e-02 9.96716227e-03 1.64639335e-02 1.41132185e-02 -2.06481828e-03 -2.06981804e-02 5.06397663e-03 1.07284244e-02 8.42832262e-04 -1.17716938e-01 4.65152599e-03 -2.50511366e-04 4.26112954e-03 -1.47582427e-01 1.86708957e-01 4.06068936e-02 -1.11973118e-02 -4.96659521e-03 -1.45500456e-03 2.83792871e-03 1.01046711e-01 -4.82683070e-03 6.42296672e-02 -9.61459475e-04 -1.51308164e-01 -3.74219706e-03 7.17681088e-03 -7.35082943e-03 2.29052529e-02 7.81000853e-02 -1.26212627e-01 -7.19225081e-03 -1.65221348e-01 6.47244044e-03 4.27129865e-03 1.00400876e-02 2.29307756e-01 9.71465632e-02 -9.55053326e-03 6.10615872e-02 1.11762714e-02 -7.48854363e-03 6.94281384e-02 -3.65056470e-02 -1.92766532e-01 1.29183345e-02 1.43894283e-02 -5.39764389e-03 2.02381626e-01 2.56687216e-02 1.19745106e-01 6.24780776e-03 -2.77704224e-02 -7.19014034e-02 -7.18969107e-02 9.00049284e-02 -8.96629021e-02 3.49521870e-04 1.20335799e-02 -1.20969377e-01 -2.58441619e-03 5.15832519e-03 -1.24474466e-01 6.56431913e-02 1.47479102e-01 -2.29199901e-02 -9.54479128e-02 -3.42335254e-02 -7.47206062e-02 2.22398803e-01 8.71745346e-04 -5.68528734e-02 -5.76155260e-02 5.32383239e-03 -7.71894073e-03 -1.22440324e-04 1.64322611e-02 2.13056747e-02 9.65756997e-02 -9.88202468e-02 2.89755268e-03] [ 1.55321687e-01 1.67464182e-01 1.57586470e-01 7.06657097e-02 -1.26286447e-02 -3.90408076e-02 -6.57027811e-02 1.66603625e-01 5.66081563e-03 -1.69394724e-02 -1.93674102e-01 1.28055476e-02 -8.56244378e-03 -8.04385692e-02 -3.59087177e-02 -2.22085029e-01 8.04650132e-03 -9.89700183e-02 4.73692343e-02 -3.64729762e-02 -2.23573163e-01 -1.35548741e-01 -1.43365458e-01 -3.52476686e-02 -2.20892206e-02 7.93136936e-03 3.24762170e-03 -1.10622318e-02 -3.93231772e-02 -1.57736570e-01 -1.49488345e-01 -8.53336155e-02 2.77905054e-02 2.90448833e-02 6.75766990e-02 4.85876687e-02 8.83193314e-03 -3.69254760e-02 -1.35017289e-02 5.01073673e-02 -1.73634619e-01 -5.29500516e-03 1.03332486e-03 1.11074178e-02 -1.39546901e-01 -3.16905007e-02 1.13001488e-01 9.26929060e-03 1.05056409e-02 8.96982197e-03 1.26767112e-02 -1.34830852e-03 2.50807013e-02 1.24418028e-02 8.14158190e-03 2.17611697e-02 1.54530615e-01 -7.18860980e-03 1.10254548e-02 1.11714751e-02 -1.55677339e-02 -1.49119586e-01 2.01744530e-02 -2.55843606e-02 1.47402614e-01 6.35025948e-02 2.67474283e-03 -1.61231607e-01 -9.01862141e-03 -6.77564889e-02 -1.87454507e-01 -9.70393792e-02 6.23974344e-03 2.42241798e-03 -1.32767195e-02 1.66506283e-02 1.34291261e-01 -3.08219120e-02 -2.26099812e-03 3.77067290e-02 -7.37453066e-03 -1.20887840e-02 7.32577685e-03 2.14835137e-01 3.48005965e-02 -2.05576550e-02 -3.29860821e-02 2.28187125e-02 3.07638291e-03 -1.78228170e-01 1.11906134e-01 -2.46713296e-01 8.81604850e-03 1.87903475e-02 1.01529323e-02 1.49078503e-01 -5.82840480e-02 -1.21256277e-01 -1.18717207e-02 5.72721399e-02 -5.24728559e-02 -2.04349965e-01 2.98245829e-02 5.62578887e-02 -6.46126224e-03 -6.03425037e-03 -3.19858715e-02 -6.29822863e-03 1.23988483e-02 -1.40196130e-01 5.26764430e-03 3.09636928e-02 -6.44699103e-05 1.03947178e-01 -1.11058109e-01 1.96265325e-01 1.72564715e-01 -9.77767911e-03 -1.11402415e-01 -1.51634682e-02 4.74677887e-03 -2.17533261e-02 1.67188421e-02 2.08538268e-02 2.43578502e-03 5.02269864e-02 5.75839393e-02 -1.83469225e-02] Cos Similarity tf.Tensor(0.24519897, shape=(), dtype=float32) (128,) (128,) [ 1.59844682e-01 1.59744874e-01 1.49594933e-01 6.70813173e-02 1.33162504e-03 -1.72907226e-02 -1.40730172e-01 7.46234460e-03 1.45072853e-02 -6.73428643e-03 -2.08584055e-01 8.51713866e-03 1.66954696e-02 5.75883575e-02 1.24315694e-02 -2.01191306e-01 1.17801698e-02 4.95386235e-02 1.28408790e-01 1.63679346e-02 -1.79848537e-01 -1.91609696e-01 3.12647484e-02 -1.61803633e-01 1.72690060e-02 7.93714949e-04 2.06258185e-02 -4.69866255e-03 8.49145725e-02 1.21488012e-01 -1.89825356e-01 1.01598892e-02 -1.31996470e-02 -6.90626027e-03 -1.98569208e-01 2.97631528e-02 1.48759894e-02 -1.38894618e-01 -7.22990138e-03 8.67387652e-02 -2.26574130e-02 -1.00041879e-02 -2.75332783e-03 -6.73506921e-03 -6.47317767e-02 1.86078697e-01 6.69194311e-02 1.53659303e-02 1.66725069e-02 2.94895023e-02 1.76547666e-03 8.79590772e-03 -2.98259925e-04 1.12952571e-02 6.98463200e-03 9.48499516e-03 -5.60913533e-02 -7.00227031e-03 -3.89724248e-03 -1.54579512e-03 -8.20361450e-02 -2.98122130e-02 1.06056713e-01 -1.55543303e-02 -1.89324141e-01 1.31931761e-03 1.17390906e-03 1.01611286e-01 8.98871012e-03 1.28710032e-01 -6.72600698e-04 -2.69041527e-02 -1.07151968e-02 9.21344943e-03 -1.26683898e-02 2.14321855e-02 -1.27429947e-01 -3.73800769e-02 -7.40602799e-03 1.76952377e-01 -3.85766686e-03 7.18387077e-04 1.67918447e-02 6.07361570e-02 -1.88067675e-01 1.04494326e-01 2.02644870e-01 7.33383140e-03 5.46415104e-04 -1.16186120e-01 9.33678895e-02 5.03465533e-02 2.60697566e-02 5.60615503e-04 -3.47278966e-03 1.95494100e-01 -1.91319942e-01 -1.90464854e-01 4.70420346e-04 7.26937950e-02 1.57877043e-01 2.71551199e-02 -8.37260857e-03 1.25286832e-01 6.67410204e-03 1.02624679e-02 1.88131958e-01 4.99928901e-05 1.38351861e-02 -1.10388026e-01 -7.29375705e-02 -2.15666611e-02 4.48696036e-03 9.72277746e-02 3.37234549e-02 1.16211198e-01 8.31458792e-02 -1.92737989e-02 -1.58844702e-02 -3.33157077e-05 8.40801094e-03 4.36383449e-02 -1.87125169e-02 -7.16905808e-03 -1.55855641e-01 6.05511852e-02 -7.31095672e-03 -2.96702725e-03] [ 0.17867559 0.06420136 0.07895839 0.1430815 0.0284337 -0.0507096 0.05972409 0.08140983 0.04224201 0.00681921 0.17251027 0.01666087 0.03447662 0.09314558 -0.03383887 0.02448465 0.02322018 0.13325743 -0.08230288 0.13628042 -0.11077006 -0.17528592 0.12378982 -0.01459464 0.0012906 -0.00055524 0.09603141 0.02333251 0.16379581 -0.1030427 0.11094177 0.17774577 0.03452421 0.03672228 0.09824377 0.03970947 0.01428116 0.02621925 -0.0377641 0.13156575 -0.16153957 -0.01560649 0.00794658 -0.00351321 0.02240785 -0.13003229 -0.00866922 0.02651345 0.01390111 0.02339186 0.00782445 0.00961397 0.02713386 0.01926502 0.02667334 0.02244973 0.172454 0.00331185 0.00678357 0.00516812 -0.00042101 0.06015885 0.14222685 0.02157303 0.06133268 -0.14108434 0.0118338 -0.1419947 0.01279183 0.14266144 0.15348959 -0.18068674 -0.00769339 0.04261201 0.00568601 0.03161424 -0.05836043 -0.00520469 -0.02955409 0.09365334 0.00136404 -0.00248518 -0.00299847 0.08804683 -0.18477133 0.14859542 0.02304718 0.01753403 0.01793901 -0.06433836 -0.15100037 0.17227934 0.00230648 -0.00129292 0.03669047 0.15893824 -0.11311386 -0.00816992 0.01136679 -0.15907353 -0.09640267 -0.15820776 0.14836764 -0.18597643 -0.00234354 -0.01085816 -0.13982683 0.00265092 0.0153845 0.14815077 0.14523107 -0.03197192 0.02859275 -0.07676012 -0.0015008 0.02620933 -0.17607197 -0.0238124 0.09835932 0.01063299 0.0059748 -0.00728714 -0.0196703 -0.00517423 0.12862188 0.07155156 -0.04851414 -0.0036893 ] Cos Similarity tf.Tensor(0.028838966, shape=(), dtype=float32) (128,) (128,) [-0.17629044 0.16790922 0.04865405 -0.0562931 0.01003287 -0.00505784 0.17338187 0.12955308 -0.01302591 0.00304877 0.02023842 0.00576505 0.01267618 0.02395775 0.12426534 0.01824379 0.02304991 0.18867089 -0.19038367 -0.06562723 0.09668808 -0.11912286 -0.10252611 0.01101305 0.02416556 0.02381147 -0.07461324 -0.00832587 0.02964381 -0.02448505 0.12503567 -0.14839274 -0.03702355 -0.01990131 0.16159165 0.0242956 0.01534468 0.11888799 -0.02878197 0.0820541 0.13803686 0.01745977 0.00724148 -0.03288982 -0.00795116 -0.19087397 -0.01928651 0.01793077 0.01289981 0.01375012 0.01070994 0.01235202 0.02360675 0.01320249 0.01382313 0.02403835 0.1273145 -0.01926436 0.01346658 0.02199594 0.0306121 -0.16854699 -0.03190311 0.01839444 0.1622463 -0.2076477 0.00255194 0.04425853 0.00206929 -0.04042304 -0.0002417 -0.00733564 0.01039555 0.019075 0.00497998 -0.01100097 -0.15811267 -0.06965137 -0.00294879 0.06474897 0.00302441 0.00109582 -0.00776227 0.00488114 -0.13309026 -0.05356466 -0.00162013 0.00997869 -0.0012154 -0.18758872 -0.02448083 0.14613606 0.00844485 0.02512193 0.03289017 -0.13819678 0.15111661 -0.18641411 0.01535645 0.18093026 0.19314063 -0.11853695 -0.17164196 0.1479611 -0.01187437 -0.02668154 0.00193403 0.02901269 0.0044385 -0.0563473 0.13135974 0.09416273 0.0279518 -0.08561619 -0.08228757 -0.21629721 -0.17424555 0.00735014 -0.01792898 0.03058426 -0.02361081 -0.04647603 0.04181902 -0.00385899 -0.16149707 0.0358655 -0.00791528 -0.00749117] [-0.13285854 0.16548705 0.07160939 0.01954872 0.00692239 0.00042417 0.17862895 0.14493108 -0.01104254 -0.00238857 -0.05726604 0.00615536 0.01460447 0.04659866 0.10291754 -0.00168811 0.02085276 0.17376357 -0.17408685 -0.04433453 0.13784559 -0.12781902 -0.11115099 -0.01352674 0.02122316 0.00330068 -0.04849605 -0.00253013 0.06413173 -0.07249814 0.11422019 -0.16419041 -0.01303037 -0.01068856 0.12695916 0.00539049 0.0097485 0.03003356 -0.01992851 0.07283469 0.13442346 0.01857735 0.00667316 -0.03761944 0.08520137 -0.1750303 -0.01021845 0.01865685 0.0176584 0.01493178 0.01730318 0.01328888 0.03160353 0.01524629 0.0255087 0.02459542 0.08869427 0.01586627 0.01523766 0.02297233 0.12876913 -0.10814066 0.01371648 0.01413142 0.11177372 -0.21440493 0.00427007 0.10772152 0.00102045 -0.07184304 0.09607697 -0.00702725 0.00023815 0.01795048 0.00499799 0.00330682 -0.1543386 -0.03492249 -0.00957319 -0.09161456 -0.00080724 -0.00027499 -0.00811488 0.07864512 -0.14878632 -0.04104076 -0.03719421 0.01349168 -0.00396601 -0.06900355 -0.02634482 0.03421874 0.01396926 0.02555624 0.03331216 -0.19649358 0.15367684 -0.19306056 0.01539507 0.19668527 0.20971839 -0.14569321 -0.01893477 0.15637739 -0.02428086 -0.0150967 -0.19076455 0.00891763 -0.00843343 -0.06101035 0.17503944 -0.03862058 0.02895885 -0.11352602 -0.03142091 -0.22013748 -0.17924643 0.00756156 -0.12895724 0.02523546 -0.01964784 -0.04270183 0.04102936 -0.00740894 -0.1277665 0.03833817 -0.0023437 -0.00507409]
Cos Similarity tf.Tensor(0.8793279, shape=(), dtype=float32) (128,) (128,) [ 1.91688523e-01 3.99157666e-02 -8.48074704e-02 1.71579748e-01 -2.62516867e-02 1.01582892e-02 1.94415748e-01 -6.89801993e-03 -1.42523169e-03 -1.27629470e-03 -1.92671940e-01 -4.60281409e-03 9.82097816e-03 1.87496454e-01 -6.93957806e-02 6.40635937e-02 -8.03835038e-03 -5.44234142e-02 1.32770583e-01 1.27139717e-01 8.51188414e-03 -1.53851017e-01 2.86512747e-02 -7.98773617e-02 1.59278270e-02 5.12208510e-03 1.00474477e-01 -1.14595541e-03 -7.04461476e-03 -4.91202474e-02 1.69587761e-01 1.70538828e-01 -1.61862131e-02 -3.86917056e-03 -1.96080133e-01 2.89397314e-03 2.06643972e-03 -4.40599397e-02 -5.21957409e-03 -1.08293280e-01 7.87731409e-02 5.11144102e-03 -1.44685397e-03 -1.77740064e-02 3.09589598e-02 4.76416051e-02 7.38202641e-03 -4.19521425e-03 -2.47564283e-03 -6.26260880e-03 -4.50691814e-03 8.29648506e-03 -1.55601185e-02 2.50977883e-03 -2.36362871e-03 1.17742838e-02 -5.96284531e-02 6.60303689e-04 1.01092225e-03 -2.16438901e-02 -2.17951238e-01 -4.21093963e-03 -1.13838181e-01 -2.59431023e-02 -8.31164941e-02 -1.59517542e-01 -1.44465016e-02 1.54631138e-02 -4.96778637e-03 6.65903464e-02 1.23493411e-02 1.69372842e-01 7.15491455e-03 4.37917467e-03 5.16818184e-03 6.92744739e-03 1.18225090e-01 -6.41041324e-02 -1.81369818e-04 -2.05850452e-01 -1.78612880e-02 -6.24794327e-02 -6.14675926e-03 -3.54539305e-02 -7.26365075e-02 1.88274994e-01 8.81925300e-02 5.74814063e-03 -1.23180794e-02 -1.53792994e-02 1.67812780e-01 1.92653909e-01 -1.11751184e-02 1.08820423e-02 -7.57444324e-03 1.72134548e-01 6.81142733e-02 -1.79943591e-01 -6.74227765e-03 1.36975080e-01 1.71163484e-01 1.75577685e-01 1.35696411e-01 -1.61108956e-01 -1.14001585e-02 7.35396938e-03 8.16021711e-02 1.01029244e-03 -1.11448774e-02 1.31716564e-01 1.54798672e-01 -9.56075415e-02 -4.40994138e-03 8.07285681e-02 4.30146530e-02 1.47783518e-01 3.46222259e-02 7.55952485e-03 -5.11864237e-02 -6.05450869e-02 2.48651952e-03 -6.55513108e-02 -7.76554272e-03 -4.62015755e-02 8.46224930e-03 6.91446709e-03 1.19923363e-02 -3.90174962e-03] [ 0.12395736 0.03253006 -0.04723723 0.17159903 -0.01803136 0.0095705 0.14649847 -0.07143886 0.00242584 -0.00372885 -0.10632017 0.00032144 0.00717326 0.1487999 0.00344066 0.15709168 -0.00542382 0.11590907 0.16902052 0.19634461 -0.05148745 0.05338773 0.02910255 -0.12932983 0.0160313 0.00500784 0.08775563 0.01792431 -0.1430359 0.16007128 0.1621812 0.14773816 -0.0156277 0.00144384 -0.14264736 -0.00371335 0.00366859 0.0453212 -0.00642008 -0.16308121 -0.0209655 -0.00180772 0.00305109 -0.01962077 0.06814555 -0.18467656 -0.15678486 -0.00303311 -0.00075566 -0.00085551 -0.00503479 0.0061028 -0.01941022 0.00477045 -0.00829866 0.01214968 -0.18408191 0.00524786 0.00061737 -0.0414604 -0.07114845 -0.00715574 -0.04195191 -0.0219139 -0.1075637 -0.08437739 -0.00724954 0.02110907 -0.00803044 0.0333532 0.0497906 -0.02787944 -0.00060599 -0.0002972 0.00276242 0.01227827 0.04537548 -0.02018344 0.00740265 -0.1964306 -0.00431783 -0.00034108 -0.00494466 -0.15758708 -0.15612045 0.20405887 0.14742334 0.00612185 -0.01306444 -0.02347176 0.0536072 -0.04923936 -0.01371201 0.0132814 -0.00732526 0.1956328 -0.03358347 -0.19347927 0.00287656 0.0100267 0.1751763 0.0547995 0.05655051 -0.19797553 -0.01222034 0.01470304 -0.12698403 0.00207889 -0.00980226 0.07809892 0.1703638 -0.14776368 0.00051091 -0.00052832 0.09993951 0.12105353 0.18829314 0.00507446 0.00983352 -0.04815045 -0.00241154 -0.05206192 -0.00971323 -0.02221154 0.14554818 0.00382757 -0.07599545 -0.00248619] Cos Similarity tf.Tensor(0.67354584, shape=(), dtype=float32) (128,) (128,) [ 2.68136319e-02 7.01509044e-02 -4.16196417e-03 -1.35303512e-01 1.01581088e-03 1.74437370e-02 1.34345695e-01 1.23949088e-01 7.40612717e-03 7.65786879e-03 7.05085462e-04 -1.65585205e-02 -4.59540915e-03 1.55691296e-01 3.91589552e-02 -1.62908077e-01 -1.59869660e-02 6.70359358e-02 -1.06500842e-01 2.55311397e-03 -2.23563060e-01 1.32833287e-01 1.08388051e-01 -2.33472213e-02 -3.67229022e-02 6.25861809e-03 2.07471371e-01 -5.24033755e-02 1.40570819e-01 1.01994112e-01 1.85013577e-01 1.45300373e-01 9.68478504e-04 -1.70234703e-02 5.13495803e-02 1.35967387e-02 8.42551887e-03 2.93314904e-02 -5.52266836e-03 3.52290496e-02 -1.47667661e-01 6.78000180e-03 6.01091050e-03 -4.41191485e-03 -1.76867828e-01 1.37071669e-01 7.20329508e-02 -2.09205281e-02 4.63134423e-03 1.50443912e-02 3.57332756e-03 5.65315539e-04 4.21486236e-03 -2.97110179e-03 -1.46556348e-02 1.87781174e-03 -7.86613747e-02 -2.29013991e-02 -3.57394922e-03 -6.89943088e-03 1.37272209e-01 3.21730860e-02 1.11267880e-01 -3.58136510e-03 1.21543512e-01 1.12050280e-01 2.47660372e-03 -4.36859317e-02 -4.10778262e-03 -2.51450129e-02 3.56891658e-03 -9.44251120e-02 5.64772543e-03 7.86568224e-03 6.78893737e-03 3.21498327e-03 2.42046900e-02 -1.19495176e-01 -2.76997732e-03 1.89797789e-01 -2.05079522e-02 -3.18460213e-03 -1.06215039e-02 2.71490198e-02 -1.34191766e-01 -1.40270740e-01 -9.65011045e-02 8.33929982e-03 -1.95626002e-02 -2.94603910e-02 1.54853150e-01 4.88720387e-02 -2.42964569e-02 7.57625978e-03 -6.21537957e-03 2.07294449e-01 9.80468933e-03 5.22384234e-02 -1.57258250e-02 1.90325938e-02 -9.61891264e-02 -8.70829970e-02 2.24891946e-01 2.67511215e-02 1.11132278e-04 1.60720833e-02 7.28930905e-02 -9.16136801e-03 -2.45191194e-02 2.11494416e-02 2.38178074e-01 1.84973925e-01 -5.47200534e-03 -1.41007364e-01 -1.00388333e-01 1.18761741e-01 -1.21336617e-01 -2.75996309e-02 2.32772246e-01 -4.68449853e-03 9.38222650e-03 -7.28729591e-02 1.09420260e-02 -1.19509427e-02 1.97715476e-01 2.74790190e-02 1.48236053e-02 -1.46803427e-02] [ 1.99951336e-01 1.45359728e-02 6.05185330e-02 -1.35365892e-02 -4.35985858e-03 -9.64645743e-02 -5.36714569e-02 7.34610856e-02 1.48711179e-03 5.50899276e-05 -1.40309289e-01 8.03543534e-03 2.32276004e-02 5.85929304e-02 6.39863685e-02 -1.49349511e-01 -7.53907766e-03 6.62886873e-02 5.98733239e-02 -1.74777843e-02 1.17128432e-01 -6.62452653e-02 -1.90444574e-01 1.07508302e-02 1.63402855e-02 9.72377311e-04 2.44842097e-01 -4.68120258e-03 5.84565848e-02 -6.31579990e-03 -1.02710195e-01 2.18540095e-02 1.57420784e-02 4.05300735e-03 5.42219132e-02 1.83128230e-02 -1.31979771e-02 -5.65907732e-02 2.77182553e-04 -6.64260164e-02 -4.56106439e-02 -4.87188436e-03 -6.99201273e-03 2.36519822e-03 -1.07558303e-01 1.25501409e-01 8.62608757e-03 1.44538265e-02 7.79175153e-03 -2.94736843e-03 3.40295071e-03 6.31556381e-03 1.74007422e-04 6.19017100e-03 -6.83801714e-03 5.72278444e-03 9.41457227e-02 -1.48329837e-02 -4.33252333e-03 -5.41871041e-03 1.81414150e-02 -4.66996506e-02 6.02564476e-02 -1.68967154e-02 -2.15411723e-01 -8.45292285e-02 -1.17843784e-02 2.25874588e-01 6.16007810e-03 -3.21766846e-02 -1.15058996e-01 -2.07059719e-02 1.84884993e-03 3.72315315e-03 4.37029172e-03 -1.25817163e-02 4.24732380e-02 6.56474456e-02 3.90983326e-03 -5.91291301e-02 -4.38647112e-03 -1.20564085e-02 6.52502431e-03 -1.68136358e-01 -1.80842414e-01 -8.86974633e-02 1.30490184e-01 1.27894571e-02 -3.07828467e-03 3.34850438e-02 -4.30541858e-02 1.64581209e-01 1.40227182e-02 -7.84004945e-03 4.03430033e-03 -1.44784927e-01 -8.52394402e-02 -1.08685963e-01 -5.32070920e-03 -2.50269085e-01 7.05636144e-02 4.92948964e-02 1.23424657e-01 9.21713039e-02 -1.41234091e-02 -6.92429207e-03 2.22385928e-01 1.05628818e-02 -4.90436889e-03 -2.41650507e-01 -1.50550216e-01 8.58242437e-02 2.30866089e-03 1.34793356e-01 2.09410377e-02 1.28167123e-01 1.66431144e-01 -7.05685280e-03 1.98568434e-01 -1.76664721e-02 7.19180517e-03 1.96437553e-01 -1.66041069e-02 -3.42448391e-02 -1.74391478e-01 4.29972447e-02 3.00788730e-02 -7.13137863e-03] Cos Similarity tf.Tensor(-0.027737541, shape=(), dtype=float32) (128,) (128,) [-1.15346033e-02 -1.27561018e-01 6.95209503e-02 -7.16495365e-02 3.88546265e-04 -6.84627565e-03 1.46452323e-01 5.73520735e-02 -7.54315732e-03 8.14942119e-04 1.51285022e-01 6.25682017e-03 1.07610533e-02 7.89330751e-02 1.09728396e-01 -9.60248187e-02 1.27764500e-03 1.03113793e-01 -1.31216243e-01 -2.15931442e-02 -1.53290033e-01 1.04464322e-01 -1.79256395e-01 -3.22488137e-02 1.37574933e-02 -2.63582729e-03 3.54536846e-02 -3.37373605e-03 -6.36471733e-02 -2.01421782e-01 -1.12127595e-01 1.70007870e-01 -1.28346384e-02 -3.90296690e-02 -1.77519411e-01 3.86167289e-04 -1.44107481e-02 -6.36276901e-02 -1.03222327e-02 -6.71786675e-03 1.40616640e-01 1.11977765e-02 3.85070546e-03 -1.49557507e-02 1.55697092e-01 -1.68413922e-01 1.35850161e-01 3.14469403e-03 -1.37346890e-03 1.48872714e-02 7.36499112e-03 1.17418729e-02 1.76456248e-04 1.14178751e-03 -1.37034152e-02 1.69909801e-02 9.83535275e-02 5.28844213e-03 1.91807456e-03 -1.17836971e-04 1.16404751e-02 1.27673745e-02 1.81009591e-01 -2.72839866e-03 -1.85243756e-01 1.61375120e-01 -1.50672924e-02 1.34328157e-01 2.66180048e-03 -1.96984053e-01 1.51559472e-01 -3.16571705e-02 8.23866017e-03 -9.03866778e-04 -7.28972722e-03 -1.85645968e-02 -1.49654895e-01 -9.16466583e-03 -8.14323593e-03 1.79130778e-01 -7.57200457e-03 2.50031386e-04 -3.71499127e-03 -1.46284968e-01 2.95088794e-02 -2.00972959e-01 -3.81772444e-02 1.32022882e-02 -1.52020482e-02 -6.28544167e-02 -1.15867905e-01 1.75104290e-03 -1.63394827e-02 1.78876910e-02 3.14458204e-03 1.82043761e-01 9.18055996e-02 5.03671765e-02 4.51741647e-03 4.96442243e-02 1.63172603e-01 1.65417358e-01 -6.39497936e-02 -1.29952049e-02 9.14978236e-03 -1.77860130e-02 -1.27003446e-01 2.55095959e-03 -6.50109025e-04 1.96436927e-01 -1.52125150e-01 -2.98052523e-02 -2.24203034e-03 7.95820504e-02 1.08855357e-02 -1.75120011e-01 -6.48027565e-03 -7.41832098e-03 1.74179047e-01 1.00538488e-02 -4.04520519e-03 5.05459495e-02 7.98672158e-03 -1.21683478e-02 2.17302684e-02 5.41518405e-02 -7.28365034e-02 8.82973056e-03] [-1.50853649e-01 -9.87993181e-02 1.78600512e-02 1.87625206e-04 -3.61494883e-03 -2.66989488e-02 -1.03901409e-01 6.63046911e-02 3.29800387e-04 1.24543987e-03 -1.65233463e-01 -4.83787851e-03 1.06503824e-02 -2.58444119e-02 9.10721496e-02 1.68157904e-03 1.39767432e-03 -1.85378373e-01 1.56199858e-01 7.72620812e-02 6.70690835e-02 9.83449221e-02 -1.83533192e-01 7.33905062e-02 1.44661393e-03 4.89096623e-03 -5.56876026e-02 -1.58179384e-02 -5.31400703e-02 -6.63191229e-02 7.65793025e-02 1.09430052e-01 -1.90868434e-02 -3.33865695e-02 -1.18583441e-01 -3.17719169e-02 -5.39296074e-03 1.47210285e-02 -7.16547808e-03 7.23611861e-02 2.04968736e-01 1.82548258e-02 -9.72143002e-03 -2.69159041e-02 -4.65038756e-04 -1.99304253e-01 -2.13979349e-01 -4.15010983e-03 -2.35592760e-03 -4.45954688e-03 5.26327349e-04 9.54769552e-03 -1.93016417e-02 1.32474070e-03 -3.75930639e-03 1.75966118e-02 4.16568294e-02 -7.95864966e-04 4.05991077e-03 1.45445135e-03 4.26548235e-02 -1.92409456e-02 1.75836205e-01 -2.26610131e-03 2.17612856e-03 1.30199000e-01 -1.57781858e-02 6.21211194e-02 3.75597994e-03 -2.17201427e-01 1.90440133e-01 -6.33309484e-02 -3.41033586e-03 5.91913378e-03 -1.18941041e-02 -1.56258680e-02 -1.82321951e-01 1.43198729e-01 -6.21716678e-03 1.37216315e-01 -1.42447250e-02 -1.70655698e-02 4.42869635e-03 -2.39809021e-01 8.00371543e-03 -2.11559802e-01 -1.82298765e-01 3.95703502e-03 -7.02432916e-03 -8.84677693e-02 1.43494338e-01 -5.55270314e-02 -2.78611220e-02 1.17683420e-02 -1.23302802e-03 -7.66676292e-02 -5.46628088e-02 1.29176825e-01 9.53387655e-03 7.22901821e-02 2.20525309e-01 1.47849977e-01 -9.76906046e-02 -2.80024391e-02 -5.83039364e-03 -2.65536308e-02 1.43373087e-01 1.60102695e-02 -9.95512400e-03 -8.38742591e-03 -1.75737083e-01 5.00723980e-02 7.95106683e-03 9.22806337e-02 4.75039519e-02 -1.67597562e-01 3.67579348e-02 8.00703000e-03 5.82133979e-02 7.90291466e-03 -4.27122228e-03 1.04701892e-01 1.56314094e-02 -2.42977161e-02 -6.30573258e-02 1.41922804e-02 -7.20303431e-02 7.60146743e-03] Cos Similarity tf.Tensor(0.4429737, shape=(), dtype=float32) (128,) (128,) [-1.92176551e-01 4.05083485e-02 -1.55724496e-01 -7.89362192e-03 1.29683847e-02 -3.31372507e-02 -2.71199122e-02 7.31841475e-02 -8.57006758e-03 -7.46379932e-03 -1.62085831e-01 -1.39195472e-02 4.19380609e-03 -1.12037724e-02 1.85955446e-02 6.33993894e-02 -2.71438546e-02 -4.23645377e-02 6.57484829e-02 -2.02078462e-01 1.04380637e-01 1.48562267e-01 -1.35179877e-01 8.70914832e-02 -2.62521883e-03 1.18751070e-02 -1.90847084e-01 -7.33707985e-03 2.13243008e-01 -2.20041409e-01 5.74161857e-02 1.68754593e-01 1.87033287e-03 -3.23527195e-02 -2.14182690e-01 -7.97164254e-03 -3.09840348e-02 -1.62389696e-01 5.72829194e-05 -1.22403376e-01 1.97395563e-01 6.47877995e-03 8.53073969e-03 -2.17496604e-02 1.51322916e-01 -1.06603704e-01 1.12677716e-01 -1.08476188e-02 -2.80299294e-03 2.13232636e-02 1.73574630e-02 5.87829109e-03 -9.84830130e-03 1.18864663e-02 -2.39948165e-02 1.23122372e-02 -1.25125214e-01 -1.48479431e-03 -2.65318435e-03 3.12096626e-03 -1.01740003e-01 -4.18929048e-02 -2.40774646e-01 -1.07967323e-02 1.48227643e-02 1.34445861e-01 -1.65823735e-02 -3.55209075e-02 2.90875207e-03 8.00181404e-02 2.83986125e-02 -1.24974430e-01 6.85506826e-03 -5.56918746e-03 -1.06039671e-02 2.64285877e-03 -1.68294445e-01 -1.25156730e-01 2.37761810e-03 1.44144192e-01 -1.38937235e-02 3.94241251e-02 -2.79261209e-02 -8.50444213e-02 -1.20271206e-01 4.71696854e-02 4.63372730e-02 1.64521523e-02 -6.40628161e-03 2.19191730e-01 -2.43896022e-04 -3.34801115e-02 -1.60276666e-02 1.73805375e-02 2.42094183e-03 -1.48405507e-02 4.47756751e-03 -1.26545250e-01 -3.94520769e-03 6.71995878e-02 2.53848862e-02 -5.63225485e-02 3.82666402e-02 3.86425778e-02 -7.79406540e-03 -2.02541593e-02 3.74960043e-02 1.17135262e-02 -2.35332064e-02 -3.89411338e-02 -5.46100251e-02 5.17420582e-02 -3.46146114e-02 -1.83265805e-01 3.34067717e-02 -2.42715687e-01 1.13789596e-01 6.85799122e-03 8.15948397e-02 -3.13928388e-02 1.01661263e-02 -1.37144756e-02 9.14406311e-03 3.58191493e-04 1.40385767e-02 8.08043480e-02 1.41869530e-01 -5.16007002e-03] [-2.46465504e-01 3.59514281e-02 -1.66516751e-01 -8.22601188e-03 4.84138681e-03 -2.44352203e-02 -2.91920435e-02 1.18389644e-01 -2.57819728e-03 -1.25935636e-02 -6.89200237e-02 -7.00959796e-03 1.78564034e-04 1.83266953e-01 -3.69139016e-02 -7.11466046e-03 -9.87441465e-03 -3.99360768e-02 2.28237342e-02 -2.38575622e-01 1.39822260e-01 1.03709936e-01 -2.04746142e-01 9.44734961e-02 -1.10600926e-02 8.97656195e-03 -1.49160817e-01 -1.08775608e-02 2.08601907e-01 -2.41205156e-01 1.65707134e-02 1.85589418e-02 -1.62840970e-02 -3.46873663e-02 -4.57583964e-02 -2.43093874e-02 -5.25609218e-03 -1.18974432e-01 3.39072477e-03 -1.94498003e-01 1.46143615e-01 1.67455338e-02 8.54486227e-03 -3.59405763e-02 2.33465672e-01 -2.73940433e-02 1.11875489e-01 -1.38622727e-02 -1.60869828e-03 1.31943813e-02 1.29404357e-02 6.28637243e-03 -1.89090427e-02 3.13175400e-03 -4.16099690e-02 7.40425289e-03 -1.11747555e-01 -1.23911444e-03 -3.79535109e-02 3.94994486e-03 -6.09522872e-02 7.28247613e-02 -2.11734429e-01 -1.56732835e-02 -1.45870760e-01 2.59838719e-02 -1.51605653e-02 7.83638470e-03 -7.99074117e-03 1.15042701e-01 7.64015839e-02 -7.53757209e-02 6.14559185e-03 1.97101082e-03 -8.82446207e-03 -6.78842468e-03 -2.67674357e-01 -4.83374484e-02 4.53704735e-04 2.43938752e-02 -2.95034871e-02 3.91732976e-02 -3.08124349e-02 -4.52510780e-03 -1.15458034e-01 4.43589017e-02 1.34915859e-01 4.36231820e-03 -1.92478541e-02 1.90782681e-01 7.03605590e-03 6.67603239e-02 -1.90677624e-02 6.54090429e-03 5.48319099e-03 -6.93318620e-02 6.73614629e-03 -2.09603421e-02 -4.98388335e-03 1.62949905e-01 -4.76667061e-02 2.94605531e-02 -1.14559680e-02 5.43212816e-02 -1.38099436e-02 -1.66502930e-02 -3.05417832e-03 -5.85140428e-03 -3.10036466e-02 -2.26827487e-02 -9.43422392e-02 5.44893774e-05 -2.52675414e-02 -1.06458947e-01 8.95153955e-02 -2.62201846e-01 4.81468579e-03 1.85316838e-02 -1.65795255e-02 -1.00919921e-02 1.10445227e-02 -8.69664624e-02 7.93951767e-05 -2.48304214e-02 6.17799759e-02 -1.01349112e-02 1.43975630e-01 9.88668646e-04] Cos Similarity tf.Tensor(0.81805336, shape=(), dtype=float32) (128,) (128,) [-0.148237 0.08922215 0.04859476 0.09193847 0.00889801 -0.15712999 -0.00606937 -0.1319085 -0.0007768 0.00311258 0.14203444 -0.00793506 -0.00980366 -0.16074885 -0.07778999 0.15719457 0.00811053 -0.12189841 -0.047262 -0.10965786 -0.13276318 -0.13757738 0.02614389 0.10220006 0.01073596 0.00291858 0.09651937 0.00618586 0.07374272 -0.04156886 -0.2051184 0.14997977 0.03186215 0.01249175 0.05696743 0.0112452 0.01765156 0.11920872 0.00919862 -0.09362992 0.11360507 0.00878538 -0.00049985 0.02087246 -0.01357394 -0.14159231 0.07046007 0.02905983 0.01882249 0.02229577 0.00624762 -0.00413009 0.01882341 0.01307676 0.02077655 0.00351336 -0.07473136 -0.01681828 -0.00959459 0.00310816 0.01153354 0.06066316 0.15934499 0.00084048 0.05556017 -0.1318698 0.00206799 -0.15101095 -0.0072333 0.10628423 -0.06575444 -0.186719 -0.00822335 -0.0115597 -0.00124437 0.02191358 0.15281464 0.08174758 -0.01264846 0.00692037 0.0034781 0.00398001 -0.00494244 -0.04005933 0.01546579 0.0522684 -0.20138456 0.01080912 -0.00246726 0.06351645 -0.11737714 -0.1419649 -0.01816291 0.00866622 0.00060491 0.20647961 0.17321776 -0.13973138 -0.00352226 -0.03971763 -0.0430967 0.02647193 -0.20291762 -0.13488302 -0.00180386 0.01749245 0.149954 0.00729796 0.00318219 0.03447532 0.1517851 0.20255142 -0.00951552 -0.0667859 -0.03268166 0.22279246 -0.14069383 -0.00616931 -0.03652523 -0.02691705 0.01090298 0.11533227 0.02012667 -0.00358991 -0.16884498 0.05426353 0.04976864 -0.021486 ] [-1.40399605e-01 5.33560589e-02 -3.42750140e-02 1.15968376e-01 5.49011584e-03 -1.60163984e-01 2.23778203e-01 -1.31010652e-01 -1.28443862e-04 3.73652205e-03 -1.86545938e-01 -3.27778957e-03 7.71106128e-03 -2.04796389e-01 -4.13011685e-02 1.94817260e-01 -1.20355720e-02 -1.58796996e-01 -6.40691295e-02 -2.42129397e-02 1.43254235e-01 2.30566468e-02 6.82537034e-02 -3.76900993e-02 2.28087325e-02 -3.54433840e-04 1.42436042e-01 -4.17392096e-03 1.99490618e-02 -6.57994673e-02 8.07315931e-02 4.59427014e-03 6.03795424e-03 -2.68575759e-03 -6.97547048e-02 7.41235167e-03 8.06481950e-03 1.07530907e-01 -1.95699185e-03 7.40848929e-02 1.71892121e-01 9.09914821e-03 -4.37631505e-03 -5.44378301e-03 1.90524023e-03 -1.33098513e-01 1.47830516e-01 -2.07163207e-03 1.28554627e-02 1.13636870e-02 3.18892533e-03 -2.74500228e-03 -2.16744933e-02 4.01015347e-03 -2.09597927e-02 -7.42819114e-03 -2.01144770e-01 -1.19440025e-02 -1.43678375e-02 5.10414084e-03 -2.17809707e-01 8.45250487e-02 1.94732472e-03 -1.35972975e-02 3.88682224e-02 -1.90582555e-02 -1.38208680e-02 -2.68446058e-02 -1.87053736e-02 2.92063933e-02 -4.58518304e-02 2.96039972e-02 -1.75111275e-03 6.27762289e-04 -2.18212837e-03 3.03401169e-03 1.16351709e-01 6.70838282e-02 -3.59756080e-03 -1.14673357e-02 -9.30721499e-03 7.36342520e-02 -1.40791060e-02 -5.09785376e-02 -7.64035508e-02 2.08592508e-02 -2.13907644e-01 5.81341004e-03 -4.56086965e-03 8.58134180e-02 -8.84370878e-02 -8.55976567e-02 -3.06025296e-02 6.99098269e-03 4.43330780e-03 1.61304757e-01 1.54937029e-01 -1.63082644e-01 1.38893281e-03 -5.83119877e-02 -1.93559319e-01 1.22772448e-01 8.23557377e-02 7.10787252e-02 -4.31182375e-03 -8.19886662e-03 -8.89162198e-02 -2.79222033e-03 -1.78492032e-02 -5.14336303e-02 2.12711394e-01 2.14079157e-01 -1.20125264e-02 -1.53590158e-01 -6.27382984e-03 1.82230636e-01 -1.20146967e-01 8.51428267e-05 -2.50261091e-02 -1.42092677e-02 6.54199766e-03 9.62255895e-02 4.57282644e-03 -9.91525594e-03 -1.61146447e-01 3.96730676e-02 1.02672927e-01 -2.51432974e-02] Cos Similarity tf.Tensor(0.5411916, shape=(), dtype=float32) (128,) (128,) [ 0.00926844 -0.18594629 -0.10212053 -0.19361174 -0.04357598 -0.014766 -0.06848788 -0.2179157 0.00880478 -0.00637561 0.15102877 -0.00377539 0.00190976 -0.0898147 0.00598476 -0.04986893 -0.00149982 -0.1596644 0.10769004 0.12516436 0.08462729 -0.22652899 -0.16611345 -0.06325108 0.00139549 0.00268268 -0.06504638 -0.02726997 -0.01908692 0.06762337 0.1493673 -0.14242838 -0.00336153 -0.026685 0.18276386 -0.00745213 0.00719446 -0.20604606 0.01073473 -0.15141469 0.03388064 -0.00128034 0.00079972 0.00108949 0.05394321 0.11164621 0.15538286 -0.00164547 0.01390782 0.01056198 0.01128125 0.0038357 -0.02347934 0.01057376 -0.02568905 0.00458133 -0.21635105 -0.00538332 0.00678497 -0.00556156 -0.05856217 0.09574546 0.09815876 -0.00474022 0.04425167 -0.08310475 -0.01618356 -0.00425195 -0.01226704 -0.12628229 0.17613925 -0.06385784 0.00038402 -0.00228091 -0.01056278 0.00664577 0.2110059 0.15760668 -0.00393887 -0.0502746 -0.01133735 -0.03336992 0.00285418 0.13645586 -0.04558304 -0.12539455 0.09101871 -0.00302928 -0.010501 -0.07214246 -0.05130983 0.10854061 -0.01432969 0.00719742 -0.02764789 0.11126951 -0.06759684 0.02921886 -0.00843686 0.15806404 -0.08421089 -0.17108612 0.04454768 -0.00603337 -0.01043901 -0.00547014 0.1912014 -0.00554349 -0.00886105 0.10028892 0.04327116 0.02060338 -0.03461514 0.15678309 -0.0200158 0.0470815 -0.12929143 -0.00531392 -0.15791152 -0.00363851 0.00643023 0.11238793 0.02661188 -0.01090827 0.03854895 0.08176672 0.0391148 -0.00788069] [ 0.00535465 -0.2004003 -0.08390617 -0.15351343 -0.04301826 -0.01018637 -0.15981212 -0.20733598 0.01108258 -0.00345086 0.1911231 0.0039945 -0.003493 -0.09531943 0.00202518 -0.06688113 -0.00190195 -0.1464544 0.04091217 0.10191366 0.09781522 -0.23054841 -0.17972118 -0.01943615 0.00503383 0.00829927 0.04501159 -0.02151402 -0.05507503 0.09914777 0.19659361 -0.10060474 0.00091856 -0.02312667 0.13507439 -0.00721154 0.00291948 -0.19670126 0.01451984 -0.12379507 0.05543571 -0.00116589 -0.00045018 -0.0017646 0.12393156 0.14790742 0.12682404 0.00108916 0.01763989 0.01182999 0.01117829 0.00366141 -0.01393179 0.00555852 -0.01710502 0.00944686 -0.20957848 -0.00464442 0.00876497 -0.00055614 -0.05771988 0.16414006 0.00446185 -0.00436747 0.06755932 -0.02922656 -0.01098135 0.12154486 -0.00659394 -0.00292634 0.13935019 0.02997323 -0.00053556 0.00138423 -0.0081179 0.01279889 0.20100754 0.14429152 -0.00313808 -0.03186635 -0.01051391 -0.06559159 0.00729528 0.09270604 0.00881082 -0.13141556 -0.03533243 -0.00177865 -0.01085731 -0.06420881 -0.02760023 -0.01939133 -0.0145259 0.00971797 -0.02746759 0.07301022 -0.05721939 0.03266824 -0.00307965 0.2115677 -0.14426963 -0.20168185 0.08879244 0.01467712 -0.00481477 0.00065762 0.17705642 -0.00996497 -0.00162009 -0.03106721 0.07017931 0.0273509 -0.0323694 0.14417855 -0.02599969 0.02782512 -0.11889295 -0.00361863 -0.21891664 -0.00045064 0.00095707 0.04763144 0.02966735 -0.01163564 0.1100845 0.07035443 0.03412215 -0.00781769] Cos Similarity tf.Tensor(0.9044633, shape=(), dtype=float32) (128,) (128,) [-0.1110922 0.16761489 0.07814638 -0.19103421 -0.01041551 -0.10288778 0.1066281 0.16571958 -0.00709356 -0.01037683 0.06772496 -0.01915397 0.00160941 -0.03858229 0.00396441 0.06955736 0.00263454 0.14739473 0.14427759 -0.18817212 -0.18235765 -0.04828885 -0.00230433 -0.07018524 -0.00716191 0.00742992 -0.15024127 -0.00259974 0.19691908 0.14010961 -0.15150557 0.11645648 0.00594612 0.00241824 0.10602535 -0.0138205 0.01359083 -0.02550539 -0.00948653 0.0922206 -0.0901474 0.00864571 0.00379351 -0.02591526 0.14122657 0.11642384 -0.00284692 0.00317424 0.00400294 -0.0042874 0.00619086 0.01162898 0.00702703 0.00451984 0.00703453 0.01064948 0.15681623 0.01104255 -0.00318132 0.00773637 0.12337208 0.14560652 -0.12903197 0.00374697 0.17681439 -0.19296613 -0.0054948 0.00097019 0.00123364 0.10539422 -0.18480362 0.17514014 0.01778689 0.01604749 -0.00801576 0.00397885 0.05880924 -0.07602573 -0.00803131 -0.05955307 -0.01270018 0.00284523 0.00554182 0.06925039 0.19926251 -0.15905191 0.05949892 0.00162502 -0.00345668 0.00792327 -0.08766664 0.07552625 -0.00535708 0.00695443 0.00416919 0.13041969 0.13135597 0.0369173 -0.00687239 0.02948151 -0.17598918 -0.00218706 0.14604767 0.08593202 -0.01913493 -0.00339664 -0.12899299 0.00210419 -0.01002672 0.07437664 0.06368679 -0.10688423 -0.00333351 -0.11641353 -0.01674421 -0.14361392 -0.16201979 0.00295564 -0.02758648 0.01335428 -0.00485187 0.11622326 0.01980535 -0.01012052 -0.15196115 0.00712091 0.00161088 0.00099281] [ 5.07402513e-03 1.74003690e-01 1.41300857e-01 -7.22232461e-02 -3.98994656e-03 -1.05673738e-01 -7.00858310e-02 1.57669708e-01 -8.90828483e-03 -1.67702194e-02 2.47839689e-01 2.99858209e-03 1.88148534e-03 8.58951658e-02 8.30861777e-02 1.18982401e-02 -1.32180797e-02 1.46996558e-01 3.11985482e-02 -2.33063892e-01 -1.20308876e-01 -1.03877664e-01 -8.66141394e-02 8.88301153e-03 -2.30291276e-03 3.21912090e-03 -8.09145272e-02 -1.10171456e-02 -1.11307047e-01 9.05088782e-02 -1.90447927e-01 2.47595638e-01 2.01544422e-03 -5.85553274e-02 -1.98685870e-01 -1.24652535e-02 -4.85286722e-03 -1.02619603e-01 -1.39929885e-02 4.45125252e-02 -5.75540401e-02 4.46659094e-03 -6.38330681e-03 -1.19776009e-02 1.47905275e-01 -2.09197085e-02 6.97089126e-03 5.90160629e-03 7.81512167e-03 -7.19682733e-03 4.16202657e-03 7.44074071e-03 -1.18815573e-02 7.83645455e-03 -8.47619399e-03 1.26511678e-02 9.41893309e-02 -9.87064652e-03 -3.23823624e-04 7.65119400e-03 -1.06344774e-01 5.06064519e-02 1.58996396e-02 7.30573339e-03 9.98312384e-02 -1.50143713e-01 -1.17718847e-02 6.74637500e-03 7.34729273e-03 -4.40691635e-02 1.84320465e-01 2.19334379e-01 1.61905419e-02 1.80244967e-02 -1.76338125e-02 -2.42882269e-03 -1.20149933e-01 -9.76871550e-02 -8.10729762e-05 8.32906142e-02 -5.83470706e-03 -8.38158652e-04 -3.37036652e-03 8.02038983e-02 6.59622326e-02 -1.55218899e-01 1.09224543e-01 1.21769402e-02 -1.31801469e-02 9.57215950e-02 -1.46509677e-01 1.79961458e-01 7.86809903e-03 4.47780266e-03 -2.22018803e-03 -1.22682936e-02 1.83310196e-01 -4.80415709e-02 -1.39980391e-02 8.89833644e-02 -3.18884552e-02 7.33804330e-02 -6.24640845e-02 -6.35983795e-02 -1.14590710e-03 -7.11974455e-03 -2.88286526e-02 9.23328660e-03 -1.76049788e-02 -8.86200815e-02 9.38810334e-02 -1.08087853e-01 -2.40939273e-03 4.70922552e-02 -4.49113809e-02 -3.64977047e-02 -6.54151663e-02 -6.63406961e-03 2.43667498e-01 -1.04199592e-02 -4.55169613e-03 1.06076203e-01 1.02292569e-02 -5.81405731e-03 -2.11223483e-01 4.11836877e-02 -1.13691144e-01 -1.17982598e-03] Cos Similarity tf.Tensor(0.46984124, shape=(), dtype=float32) (128,) (128,) [-0.16660301 -0.07947935 -0.09634247 -0.04008966 -0.01254268 -0.03255052 0.10180998 0.11729474 0.00698688 -0.01160023 -0.18643992 0.00977072 -0.01041022 0.11894269 -0.01024381 -0.02080792 -0.01060193 -0.21199916 0.1606123 -0.08522703 -0.05733968 0.01426251 -0.13484494 -0.01527726 -0.06415232 0.0018119 -0.04833173 -0.03389702 -0.11465719 -0.11418797 -0.13510172 0.20770966 -0.01627841 -0.01610546 0.2249238 -0.00324668 -0.01821977 -0.12431301 -0.00507127 0.05991136 0.16112664 0.00673985 -0.00504793 -0.02029415 -0.1260663 0.01871629 -0.04910712 -0.01541209 -0.00538772 0.00795936 0.01204833 0.0044464 -0.0295335 0.00026186 -0.01607306 0.01327768 0.13629016 -0.00239592 -0.01388164 -0.00363347 -0.20177661 -0.18118569 -0.24538377 -0.0111639 0.03487554 0.00050019 -0.01117183 0.00447792 -0.01569495 0.05347948 0.05282366 0.17198743 0.01040822 0.00895711 -0.0134148 -0.00975941 -0.18718137 0.18319154 0.00556647 0.1539274 -0.02013752 0.02846835 -0.01877025 0.23368195 0.07546435 0.02156383 0.04671786 0.00591707 -0.01365824 0.07046063 0.04961849 -0.10431498 -0.01773274 0.00777366 0.00171345 -0.01213688 0.08344923 -0.05339777 -0.01685493 0.04591716 -0.16905499 -0.09509533 -0.074223 -0.04216855 -0.02214597 -0.01008761 -0.12643522 -0.00571369 -0.02260527 -0.02526964 0.06146172 -0.24469738 -0.02507644 0.15374587 -0.02840385 -0.01337998 -0.02910973 0.00461979 -0.02347916 -0.02631575 -0.00284281 0.01318708 0.0138895 -0.00036088 0.18131484 0.03598874 -0.02829563 -0.01115605] [-2.25868553e-01 -6.62051737e-02 -1.85645521e-02 -4.23838310e-02 6.63975533e-03 2.30900105e-03 2.54743025e-02 7.34892860e-02 9.40657221e-03 -3.13752261e-03 -1.81101918e-01 2.37372350e-02 8.78646690e-03 1.35122821e-01 -1.71885081e-02 -4.76328693e-02 3.16104013e-03 9.74606425e-02 2.05051735e-01 -1.17874593e-02 -4.23940420e-02 2.36434434e-02 -1.12284422e-01 -1.38617707e-02 -2.63238102e-02 6.46752492e-03 1.36963934e-01 -1.14340065e-02 -1.29137710e-01 -1.25520900e-01 -1.23231754e-01 1.38903946e-01 -2.76303142e-02 2.37171189e-03 9.95895714e-02 1.41643360e-02 1.28020789e-03 -9.37733352e-02 -1.05958972e-02 1.77336827e-01 1.58083826e-01 1.99419004e-03 -3.66008817e-03 -2.52686106e-02 -1.11449569e-01 2.48391069e-02 9.20105502e-02 -4.23882296e-03 -3.13782226e-03 1.28507288e-02 2.03955639e-02 1.30198046e-03 -2.76178680e-02 8.69717449e-04 9.19392891e-03 2.73269508e-02 2.23797455e-01 -1.99115416e-03 1.99340214e-03 8.97844136e-03 -1.82447493e-01 -1.72979563e-01 -2.37457454e-01 -6.61921501e-03 -3.67019288e-02 3.10808159e-02 -4.28998796e-03 4.08385433e-02 -1.52597632e-02 5.37312850e-02 -8.17021430e-02 1.56139895e-01 9.52837057e-03 2.21796632e-02 2.54125521e-03 -1.03990845e-02 -1.22288801e-01 2.10830018e-01 1.11497650e-02 -1.44888386e-01 -8.70399643e-03 1.34203015e-02 -1.06639499e-02 2.09885567e-01 8.27875137e-02 1.45165743e-02 4.46701497e-02 1.51631366e-02 -4.49672202e-03 6.92655519e-02 2.12484784e-02 -1.46198077e-02 -1.96527019e-02 2.39313003e-02 4.93528275e-03 -2.28819177e-01 -1.37405798e-01 -2.06155721e-02 -3.80348670e-03 9.00717154e-02 -4.56560738e-02 -9.91199985e-02 -2.39036992e-01 -2.39727907e-02 -1.33005735e-02 -9.88005381e-03 -8.41941386e-02 -8.28350149e-03 -3.97335272e-03 1.05139397e-01 3.31589952e-02 -2.29173020e-01 -2.62525324e-02 1.32595107e-01 -5.64307496e-02 1.30506335e-02 9.63459257e-03 4.79448866e-03 -2.23289598e-02 -5.08884247e-03 -5.78588406e-05 2.10575648e-02 2.33123433e-02 -2.89262552e-03 1.81147724e-01 2.94341557e-02 -1.22510921e-02 2.16725236e-03] Cos Similarity tf.Tensor(0.7373611, shape=(), dtype=float32) (128,) (128,) [ 1.79804817e-01 1.47154391e-01 3.98158394e-02 -1.21850796e-01 5.11955936e-03 -7.64529556e-02 -3.11038475e-02 1.11883087e-02 5.47489012e-03 -3.55611108e-02 1.28671989e-01 7.29556708e-03 2.88508250e-03 7.99829438e-02 1.01842307e-01 1.66517034e-01 1.68275414e-03 9.27026346e-02 -6.20771796e-02 -1.12782449e-01 -1.62873656e-01 1.34518445e-01 -9.78218094e-02 -1.07803144e-01 -1.59518421e-02 8.71450268e-03 -1.61573395e-01 1.20795257e-02 -1.77721545e-01 1.00821994e-01 -4.78346683e-02 4.91642877e-02 8.50588828e-03 -1.07261669e-02 1.87979341e-01 2.93227211e-02 2.46601691e-03 -1.52868941e-01 -1.29348431e-02 8.12495872e-02 -1.49504165e-03 -1.08361309e-02 1.05213502e-03 7.36813599e-05 9.57086906e-02 2.30890717e-02 2.72775516e-02 1.12776412e-02 7.12178368e-03 1.01294527e-02 4.06218227e-03 3.89311858e-03 2.14743684e-03 5.90874674e-03 -3.64769995e-03 5.81008196e-03 3.49062048e-02 -8.70902278e-03 -2.23803613e-03 4.92377812e-03 1.18928343e-01 -1.32891729e-01 4.30591330e-02 -1.31241186e-03 -1.48833737e-01 1.79018512e-01 5.79573540e-03 -1.60647228e-01 -6.32534828e-03 -8.04950893e-02 -2.34758724e-02 -6.32205233e-02 8.66633654e-03 7.08003575e-03 -1.15119433e-02 -4.71219653e-03 -7.95205384e-02 -1.43055692e-01 4.08162083e-03 1.49152383e-01 2.24689743e-03 -2.87127099e-03 9.46633518e-03 1.28970951e-01 -1.21319272e-01 -1.47880509e-01 1.61872566e-01 9.39857960e-03 3.14663677e-03 -1.75340921e-01 -1.15662575e-01 1.00583792e-01 -9.19452214e-05 1.26299839e-02 3.53228906e-03 8.21784362e-02 -1.52901128e-01 -1.53325573e-01 -7.25363148e-03 -1.12186663e-01 7.39977285e-02 4.04920131e-02 1.08692721e-01 -1.52051479e-01 -1.11816823e-02 -4.00763657e-03 -9.84145552e-02 6.19509863e-03 -8.27011000e-03 1.82367891e-01 1.25666648e-01 1.27781793e-01 5.60774514e-03 -2.11125836e-02 -3.06020901e-02 -1.68348670e-01 1.81812063e-01 -2.36838181e-02 2.43858024e-02 -5.30872634e-03 -3.21056950e-03 1.39703542e-01 2.81883217e-03 2.58336719e-02 -1.63749397e-01 -9.35949907e-02 -7.63843358e-02 3.93931492e-04] [ 0.1688953 0.14186665 0.02290842 -0.05342047 0.00482519 0.07634236 0.03664365 0.01457553 0.00961625 -0.02852794 0.14775099 0.00267188 0.0040492 0.04111746 0.09127413 0.13938545 0.00156275 0.11565736 -0.05397888 -0.02338968 -0.11834618 0.16386324 -0.13397345 -0.06890327 -0.02641509 0.00795607 -0.11789669 0.01291372 -0.14292784 0.12059017 -0.04460164 0.00198033 0.00795276 -0.00254969 0.17420903 0.02352716 -0.00041497 -0.12573962 -0.00935971 -0.02520336 -0.01731724 -0.01227434 -0.00146328 0.00059425 0.14364356 -0.15115362 0.0943694 0.01063614 0.00587225 0.00848087 0.00240605 0.00473063 -0.00280033 0.00749565 -0.00860413 0.00690198 -0.01470683 -0.0109138 -0.00223273 0.00123485 0.14811046 -0.12211115 0.05382106 0.00115381 -0.12892416 0.17625098 0.00853415 -0.14315376 -0.00548098 -0.05757287 -0.09142207 -0.0286106 0.00549885 0.00923052 -0.0118811 0.00316386 -0.02500722 -0.1376461 -0.00022445 0.14876221 0.00642124 -0.00110122 0.0090528 0.14573914 -0.14750828 -0.1443615 0.14906432 0.01143028 0.00384181 -0.16156688 -0.06424626 0.15414937 -0.00540217 0.0007268 0.00890914 0.13185121 -0.08575097 -0.16816856 -0.00096964 -0.05595492 0.1670582 -0.00147534 0.16063431 -0.15924588 -0.0126772 -0.00170635 -0.12590152 0.00659592 -0.00869072 0.16868243 0.15628299 0.13785875 0.00859772 -0.10225493 -0.05192569 -0.15262671 0.16396756 -0.02868836 0.01729115 -0.00780494 -0.00952436 0.15484864 0.00427921 0.01844466 -0.16529515 -0.10710488 -0.03280365 0.00135724] Cos Similarity tf.Tensor(0.91885114, shape=(), dtype=float32) (128,) (128,) [ 8.89764875e-02 -4.71713319e-02 -1.51332512e-01 1.41342998e-01 -2.89850626e-02 -7.97789544e-03 1.58721685e-01 -2.73974508e-01 -1.59284449e-04 -1.37398830e-02 -1.40262201e-01 -4.60925605e-03 2.48417375e-03 2.56681945e-02 -8.07345845e-03 -1.04960404e-01 -7.95732625e-03 -1.70097947e-01 3.86525393e-02 2.75884420e-01 -1.63085945e-03 -6.70362636e-02 -2.20530331e-01 1.59263209e-01 -4.58297394e-02 -1.23412217e-04 -5.33596724e-02 -7.46386033e-03 -8.96324292e-02 -2.47675925e-03 -3.82517395e-03 -1.07040210e-02 5.19506400e-04 -6.32994482e-03 1.23166725e-01 2.54019275e-02 -1.58284754e-02 -1.31321490e-01 2.12903298e-03 -6.38639033e-02 7.78172573e-04 -6.77671423e-03 -1.15168828e-03 -7.79292593e-03 1.40860736e-01 -8.83209892e-03 5.70522211e-02 -4.47146269e-03 7.76681537e-03 4.76916227e-03 2.53486913e-03 2.21217913e-03 -2.73734797e-02 3.19959526e-03 -1.87786594e-02 -6.24075346e-03 -1.52235880e-01 7.02519959e-04 -5.72283566e-03 -1.13739958e-02 -2.46167257e-02 1.26856938e-01 9.47903171e-02 -2.02436466e-02 2.84507908e-02 -1.42107597e-02 -2.41433326e-02 6.09146152e-03 -2.79338434e-02 1.17328487e-01 -1.46943718e-01 -2.37012506e-01 -2.91353860e-03 6.36872090e-03 -1.01743443e-02 -2.42723341e-04 9.32011977e-02 6.64824769e-02 -1.17119197e-02 1.93570122e-01 -1.66430995e-02 -2.72648297e-02 -2.39836681e-03 1.29241887e-02 9.75366533e-02 -1.98106907e-04 1.83205903e-01 5.29127836e-04 -8.14781431e-03 1.75255552e-01 -1.26037328e-02 -8.50574151e-02 -1.23390108e-02 6.39778003e-03 4.45239386e-03 -7.64585808e-02 -7.21118471e-04 -1.18374219e-02 -8.32580682e-03 -1.54691070e-01 -2.26981148e-01 -4.30753678e-02 2.43237242e-01 5.80984093e-02 -2.76643988e-02 -1.94467865e-02 -3.43210064e-02 -3.17126489e-03 -2.47435719e-02 3.97411697e-02 1.66506786e-02 8.80093575e-02 -2.05609072e-02 -3.80414277e-02 -2.58951653e-02 -1.22274935e-01 1.65621504e-01 -2.14978848e-02 -1.80816799e-01 -5.33511527e-02 6.58670627e-03 1.72154665e-01 2.84125027e-03 -1.44770294e-02 -4.57223039e-03 6.80332556e-02 -5.28369173e-02 -1.79662965e-02] [ 1.93701863e-01 -4.99206185e-02 -1.11277886e-01 9.81892645e-02 -2.17220038e-02 6.13412634e-02 1.48122579e-01 -2.02770114e-01 3.91462864e-03 -1.48876226e-02 -1.73029497e-01 -7.96774309e-03 -8.46493617e-03 -1.27240986e-01 -9.66447592e-03 -1.62595287e-02 -1.59925898e-03 -1.77771393e-02 -2.81131268e-02 5.87999681e-03 1.06339890e-03 -1.29282817e-01 -1.51232556e-01 -1.06949963e-01 -2.86029130e-02 -1.20188226e-03 -1.50057763e-01 -1.39765479e-02 8.38055611e-02 1.69936419e-01 1.33777648e-01 4.39110249e-02 -1.31143222e-03 -9.30148177e-03 1.22938849e-01 4.45497632e-02 -1.15726190e-02 -1.99313730e-01 5.57871582e-03 -1.12001568e-01 -1.43185377e-01 -8.49745423e-03 1.93663873e-03 -1.66701991e-03 3.31593305e-02 6.43208772e-02 -1.69879496e-01 -3.81591357e-03 7.44441664e-03 9.75790247e-03 4.73542698e-03 -7.26014317e-04 -1.26644811e-02 6.80230604e-03 -1.96244065e-02 -3.15741939e-03 -6.21629395e-02 5.00736432e-03 2.69481388e-04 -1.22789228e-02 -4.00240384e-02 -1.17614612e-01 9.47640613e-02 -1.85785200e-02 6.20626323e-02 2.84526106e-02 -1.80071369e-02 -1.78667847e-02 -1.54993432e-02 1.08448431e-01 -1.01062477e-01 -1.98932856e-01 1.75975132e-04 5.87916141e-03 -1.77800991e-02 -6.03897555e-04 -1.38287008e-01 2.03837436e-02 -5.00727165e-03 1.80095613e-01 -1.08327251e-02 1.77248530e-02 1.79568119e-02 1.45124838e-01 1.14125781e-01 -1.60645679e-01 1.54430345e-01 5.25437016e-03 -1.17865466e-02 1.51093230e-01 1.29826605e-01 -2.20019557e-02 5.23088640e-03 7.63158174e-03 4.93773085e-04 1.19592026e-01 1.91844236e-02 -4.35552225e-02 3.79557954e-03 -3.66440006e-02 -1.33322641e-01 9.03818831e-02 2.15878814e-01 -6.21781722e-02 -5.35582332e-03 -6.48133736e-03 9.61686075e-02 -9.14919470e-03 -1.14704352e-02 -1.59033313e-01 1.80284455e-01 1.59623906e-01 -1.82951689e-02 -1.34593055e-01 -5.55511415e-02 -7.32819689e-03 -8.96239579e-02 -1.55798839e-02 -1.65343061e-01 -1.90169271e-02 1.23859672e-02 -1.42925188e-01 2.11884882e-02 1.86473057e-02 -1.44950002e-01 8.22924301e-02 2.98245251e-03 -1.60448458e-02] Cos Similarity tf.Tensor(0.48612618, shape=(), dtype=float32) (128,) (128,) [ 0.24495609 0.01990252 0.04290172 -0.21326861 -0.0086152 -0.02033983 -0.07385503 0.07891101 -0.00976145 -0.01137567 -0.09264604 0.00821086 -0.00295551 0.06401008 0.00746989 -0.06912451 -0.01751897 0.18382818 0.02269986 -0.19697018 -0.01969036 -0.0042396 0.11920403 0.04218022 -0.02505733 0.00261701 0.19779049 -0.02005926 0.0688596 0.01301007 0.06246763 0.1422598 -0.01040519 -0.00341899 -0.05973538 -0.03637187 -0.01313995 -0.01618115 -0.01555999 -0.13775721 0.02518186 -0.00220366 0.00216706 -0.00148536 0.14115417 0.06245288 0.02499675 -0.00060272 0.0016243 0.01209509 -0.00115469 0.00640716 -0.0177757 0.0038703 -0.0044023 0.01125117 -0.00273195 -0.00837053 0.00867967 -0.00769338 0.09544776 -0.08672301 0.16782567 -0.00041887 -0.20344783 -0.06642115 -0.00929249 0.08838013 -0.00412868 -0.21792014 0.22599286 -0.22604169 -0.00271999 0.00358367 -0.01992044 0.01037009 -0.00716653 0.13350306 0.00025128 -0.02134424 -0.01110603 -0.00813487 0.01280176 -0.01490245 0.14911807 0.03738671 0.10119686 0.01078356 -0.01523752 -0.15180601 0.19619036 0.06947934 0.00133784 0.00871511 -0.01499938 -0.13418797 0.18262216 -0.08632019 -0.00879796 -0.12666957 0.00836627 -0.16983338 -0.0831958 -0.09790539 -0.02126839 -0.00155348 -0.11018257 0.00612773 -0.01002132 -0.20779619 -0.11769514 -0.01824216 0.00076095 -0.00810796 0.04176179 0.13353758 -0.0030892 -0.03537856 -0.15241003 -0.02976475 0.00166653 0.09546742 0.00770842 0.00957025 -0.15843095 0.00319754 0.11955199 -0.00253337] [ 1.91724107e-01 3.45300250e-02 5.99590093e-02 -1.99803695e-01 -4.36621206e-03 -3.83123197e-02 1.10651784e-01 4.51235920e-02 -4.55668662e-03 -1.19066648e-02 7.20093623e-02 5.25012333e-03 4.52491781e-03 6.96261823e-02 3.67900841e-02 -1.26584182e-02 -1.23249805e-02 1.91787213e-01 -9.11278352e-02 -1.96195006e-01 -1.71274364e-01 -3.63773480e-02 9.22466516e-02 -2.94632837e-03 -3.28953192e-02 6.34486380e-04 1.90488651e-01 -3.99191976e-02 1.25433341e-01 4.52914312e-02 1.54066905e-01 1.75709039e-01 -1.16232419e-02 -1.24450419e-02 6.64383322e-02 -1.11373123e-02 -6.86408195e-04 -1.08808234e-01 -9.94898565e-03 -5.33062145e-02 -7.40586733e-03 -8.67849588e-03 -5.06044598e-03 -4.47126850e-03 -2.09792200e-02 -2.10041702e-02 5.94004728e-02 -5.60868345e-03 1.22106564e-03 1.34031819e-02 1.71598559e-03 6.87272428e-03 -1.10787218e-02 4.54873126e-03 -8.10457673e-03 6.92115119e-03 -9.72521007e-02 -4.90073394e-03 -2.70495401e-03 -6.33069547e-03 -7.91870803e-03 -2.06813812e-01 2.13579968e-01 -3.72295547e-03 -1.43010214e-01 1.58250071e-02 -5.92655782e-03 3.68131772e-02 -9.84042883e-03 -1.75213397e-01 9.79420021e-02 -1.41499132e-01 -2.97317235e-03 2.34201527e-03 -2.42321193e-02 8.18879064e-03 -6.85228733e-03 1.09842092e-01 7.68992992e-04 1.83091745e-01 -6.54923916e-03 -1.42257102e-03 5.14199119e-03 -1.02921231e-02 1.17802247e-01 2.45951395e-02 1.08904772e-01 9.82372090e-03 -1.12480829e-02 -1.12367265e-01 2.17814997e-01 1.81354582e-01 3.07132839e-03 6.57977397e-03 -1.51682552e-02 5.94380461e-02 7.13984966e-02 -1.42710954e-02 -9.20708291e-03 -1.73999175e-01 1.42840207e-01 -2.18701348e-01 -1.03994884e-01 -5.66224642e-02 -1.50786899e-02 9.25429413e-05 1.49350781e-02 6.25619804e-03 -1.85491759e-02 -2.08930165e-01 -2.16607228e-01 9.28297080e-03 -4.04793769e-03 -4.19130502e-03 4.38937992e-02 6.08636625e-02 5.24201281e-02 -3.84701006e-02 1.06679751e-02 -2.55378764e-02 4.56545223e-03 1.25705585e-01 3.11013637e-03 5.71507402e-03 -1.70923054e-01 -3.94061506e-02 1.22524716e-01 -1.80673334e-04] Cos Similarity tf.Tensor(0.76504016, shape=(), dtype=float32) (128,) (128,) [-1.77645639e-01 -3.55301537e-02 1.48889199e-01 2.04590276e-01 -1.50267165e-02 -9.86418594e-03 -1.95517167e-01 1.49015754e-01 1.59838318e-03 -2.01726938e-03 -1.23883866e-01 1.72695902e-03 6.78566284e-03 1.63646534e-01 -5.48026301e-02 -4.30427492e-02 6.11543143e-03 1.12365216e-01 -3.19646597e-02 -1.38334051e-01 -1.34616777e-01 -1.84404254e-01 3.22429501e-02 7.45890383e-03 1.84976980e-02 -3.34965385e-04 1.48669690e-01 9.40340292e-03 5.27172089e-02 5.48565120e-04 -1.66392207e-01 1.01198405e-01 1.06571475e-02 3.11928312e-03 -1.07863292e-01 -4.15434642e-03 1.59020238e-02 -3.27227265e-02 -1.88486632e-02 1.76615894e-01 4.85639684e-02 4.81439475e-03 3.33159487e-03 8.84044543e-03 -1.18171096e-01 1.42610565e-01 -1.73123274e-02 3.73227498e-03 4.78989678e-03 1.67829897e-02 8.36457685e-03 1.76603887e-02 -1.94258732e-03 1.69287389e-03 -1.25719351e-03 6.97577232e-03 -3.17484513e-02 -4.91163926e-03 2.40759552e-03 6.99522626e-03 1.86597332e-01 9.31058452e-02 -1.88974142e-01 -8.16327240e-03 1.99679613e-01 1.36827473e-02 -1.48304447e-03 -9.06149372e-02 1.65454186e-02 1.69979960e-01 2.82842759e-02 -1.61319360e-01 1.62710308e-03 6.42993581e-03 3.70551506e-03 -1.20095713e-02 1.71489924e-01 -1.62833735e-01 -4.15168097e-03 9.74583924e-02 -1.80823505e-02 2.64092488e-03 3.12570599e-03 -1.14743918e-01 1.44976512e-01 -7.58092105e-02 6.24785125e-02 7.61965709e-03 7.88806938e-03 -3.11128981e-02 6.19491376e-02 -1.15147904e-01 -1.78100616e-02 -4.74189961e-04 1.65840052e-02 1.01856194e-01 -1.36895761e-01 5.01111932e-02 -1.26711081e-03 1.70181423e-01 5.70838377e-02 -1.57108493e-02 8.49817023e-02 4.93247584e-02 -5.75337047e-03 -1.08335344e-02 -4.53943796e-02 -1.58207852e-03 1.58017676e-04 3.50543149e-02 -1.78304106e-01 -6.71616569e-02 1.74475778e-02 3.07968669e-02 -5.28705604e-02 1.85783267e-01 -1.09084055e-01 -1.09315393e-02 -1.60740882e-01 9.68554337e-03 6.98971655e-03 1.09983884e-01 1.33127319e-02 -2.48703919e-02 1.72749877e-01 7.61835873e-02 -1.08466886e-01 4.97568585e-03] [-0.1497192 -0.08031429 0.12464352 0.19498365 -0.01289659 -0.11180282 -0.19095522 0.13634081 0.00177229 -0.00067134 -0.02734917 -0.00371146 0.00497639 0.15606706 -0.07021029 0.02910671 0.0033589 -0.083496 -0.1369737 -0.12476989 -0.11783501 -0.17912094 0.03767542 -0.0083445 0.01427405 -0.00080947 0.16810578 0.01126833 -0.07559396 -0.01255336 -0.17669313 -0.10497028 0.01526141 -0.00384601 -0.18096693 -0.0070081 0.01046112 -0.12928656 -0.0180788 0.18751419 0.02862254 0.00025866 0.00164637 0.00709359 -0.10773728 0.03004247 -0.12003914 0.00824926 0.00434969 0.01749719 0.00900353 0.01733411 -0.00064239 0.00169248 -0.00357028 0.00729103 -0.0179225 0.00025817 0.00273763 0.0048594 0.19351429 -0.01150211 -0.15419912 -0.01153453 0.20839502 0.09130102 -0.00253338 -0.07877622 0.01794319 0.11360291 0.10366693 -0.07630909 0.00054369 0.00896118 0.00138713 -0.01025554 0.14687777 -0.16360591 -0.00669847 0.14782602 -0.01943853 0.00135431 0.00411466 -0.05056179 0.11481515 0.06211143 0.05619883 0.00930053 0.00834494 -0.06060366 0.06903906 -0.13851498 -0.01373664 -0.0103333 0.0141847 0.11517914 -0.13299754 0.07056931 -0.00301223 0.1733678 -0.09500414 -0.00500984 0.14106715 0.18860383 -0.00790019 -0.00467677 -0.14644703 -0.00116296 0.00314618 0.08106624 -0.1697905 -0.14583941 0.01471394 -0.04228328 -0.03486047 0.16956878 -0.06533931 -0.01009639 -0.0841184 0.00859921 0.0065653 -0.00383897 0.01312746 -0.01406052 0.05435639 0.09946828 -0.04983516 0.00302032] Cos Similarity tf.Tensor(0.82456934, shape=(), dtype=float32) (128,) (128,) [ 0.07943816 0.15721925 0.03866128 0.16823353 -0.00757759 0.1404897 -0.08133929 -0.20192781 -0.00087945 -0.00459905 0.18026808 -0.00544294 0.01060886 -0.08311597 -0.01721614 -0.07088031 0.004367 -0.05046635 -0.13901113 0.0708557 0.12871379 -0.20015697 -0.16079581 -0.17756522 0.01756679 -0.00313051 0.14926976 0.01602064 0.02208273 0.04739601 0.11930545 -0.16538085 0.01550145 0.00939001 0.12496242 0.01602496 0.00151005 0.15337849 0.00374139 -0.06655741 -0.12465801 -0.00619661 -0.00743723 0.00570263 -0.10811529 -0.0468384 0.14926152 0.0075972 0.01427203 -0.00199828 0.00624469 -0.00139125 -0.00879899 0.00478617 -0.00898072 -0.01038864 -0.0729622 -0.00394247 0.00522308 0.00031549 0.22122483 0.05083067 0.09555238 -0.00180932 0.16358404 0.19743776 -0.00071467 0.00392784 -0.01537816 0.09800898 -0.07079564 0.11253878 0.00274241 -0.00164168 0.00252643 0.00638134 0.06183938 0.11942682 0.00319807 -0.1219429 0.00338994 0.00679929 -0.0022135 0.07906011 0.01130348 -0.125028 0.09211535 0.00931275 0.00819122 0.14805736 -0.01349136 -0.10993432 -0.00077695 0.00216476 0.00298114 -0.01969352 -0.12316189 -0.0472465 0.00656289 -0.13214508 0.05795619 0.03284505 0.11751204 -0.23086375 -0.01221239 0.0146787 0.04586695 0.00486003 -0.00248007 -0.13146482 0.04650356 0.15460487 -0.00672317 -0.01937104 -0.03216858 -0.04793452 0.1439169 -0.00651613 0.14635289 -0.00665861 0.00321868 0.22064699 0.02619718 -0.00029591 -0.09358615 0.08889964 -0.00340413 -0.02127765] [ 0.11273434 0.01070779 -0.07574622 0.1702289 -0.00180278 0.1514524 0.05752071 -0.20164928 -0.00942759 -0.00709257 0.17085028 -0.0086268 0.01217001 -0.02810401 0.1254348 -0.04311707 0.00049734 0.14027531 -0.04112921 0.12657164 0.04628245 -0.12334459 -0.15891954 -0.16979955 0.00761666 0.0043392 0.00376208 0.02425806 0.02555876 -0.07654033 0.15308745 -0.20947254 -0.00438137 -0.00442126 -0.00315874 0.02415102 0.00063524 0.10926815 0.01033638 0.04437536 -0.09585733 -0.00554858 -0.0079314 0.01190332 -0.08508781 0.07678179 0.1607903 0.00756116 0.0133526 0.00666763 0.00482843 0.00169852 -0.00475822 0.00153243 -0.01772463 -0.00432164 0.04382457 -0.00830166 0.00510945 -0.00080129 0.16770793 0.01440311 -0.03586661 -0.00127925 -0.01053664 0.19838369 -0.00406507 -0.00525855 -0.01227344 0.04830322 -0.15530135 -0.00202769 -0.00278181 -0.00107913 -0.00463649 0.01174543 0.03330188 0.12994646 0.00581635 -0.16328497 -0.0066262 0.01299347 -0.00200373 0.21991867 -0.0165439 -0.15423217 0.06940806 0.00330945 0.00466913 -0.08082329 -0.09813937 0.03496833 -0.01106305 0.01689135 0.0047905 0.09778126 -0.10046373 0.02089624 0.01225997 0.09268411 -0.12420162 0.18804717 0.13180242 -0.2115751 -0.01742066 0.01328693 0.07227325 -0.0058092 -0.00174157 0.23829135 0.00116928 0.20987056 -0.01059501 -0.13210297 -0.03586769 -0.11605488 0.10784362 -0.00409957 0.06582974 -0.00698687 0.0011174 0.23165615 0.01930756 0.00490079 -0.03453331 0.0189245 -0.01357594 -0.01249443] Cos Similarity tf.Tensor(0.63620067, shape=(), dtype=float32) (128,) (128,) [ 1.67633772e-01 -1.29767671e-01 8.00886080e-02 1.56607792e-01 6.38609007e-03 1.28621295e-01 1.25957802e-01 -6.67553674e-03 -1.43720759e-02 -5.25896344e-03 1.34954797e-02 -6.00638706e-03 -3.78450518e-03 2.18450893e-02 4.24525477e-02 -1.31118491e-01 7.23187951e-03 1.29868537e-01 -4.22436669e-02 -1.00770973e-01 1.11326233e-01 1.97037786e-01 1.95846949e-02 1.00265346e-01 2.34742370e-02 1.08692078e-02 -1.38141870e-01 9.80015006e-03 -1.17528878e-01 -1.46706343e-01 5.51615208e-02 1.89841926e-01 -1.80679206e-02 1.03309071e-02 -8.33161399e-02 8.91180430e-03 -2.26209238e-02 -1.54879197e-01 -1.28080649e-02 1.04693972e-01 4.66295816e-02 4.93332557e-03 -2.70833867e-03 -2.23795380e-02 -6.57681972e-02 1.41550019e-01 -1.25688404e-01 1.38649484e-02 1.59908701e-02 8.76150373e-03 -3.63715197e-04 5.52709716e-05 2.48747990e-02 5.67167625e-03 1.19639030e-02 -9.02830099e-04 1.82291940e-01 6.08724030e-03 1.54183041e-02 2.14883611e-02 1.80079713e-01 -1.47466496e-01 4.62015718e-02 7.06344377e-03 1.07175998e-01 -1.42224297e-01 1.04053402e-02 1.51633799e-01 1.06799221e-02 1.85102642e-01 -1.64279535e-01 5.78186549e-02 1.04295705e-02 -2.03003921e-02 1.33311646e-02 1.72609128e-02 -5.77053316e-02 -1.23296887e-01 9.95959342e-03 -3.18730175e-02 1.80794168e-02 -1.08895518e-04 7.26049300e-03 -4.54705767e-02 9.58645865e-02 7.61658698e-02 -1.35914311e-01 1.40289878e-02 7.04451045e-03 2.29753889e-02 7.99775422e-02 1.00121148e-01 6.43360568e-03 -1.08248706e-03 1.70874950e-02 -1.41449809e-01 6.57667220e-02 -1.72290832e-01 -1.44893664e-03 1.57063633e-01 1.93046033e-01 5.87612204e-02 1.20728776e-01 -3.21495682e-02 8.26758891e-03 -1.14464546e-02 1.93708107e-01 -9.51881986e-03 3.63927172e-03 1.63927481e-01 -1.54343054e-01 1.44213781e-01 1.23624140e-02 1.06032722e-01 -3.98225673e-02 2.56811418e-02 1.34309828e-01 3.70507623e-04 1.59183577e-01 2.60126851e-02 -1.62112527e-02 -1.06846400e-01 2.81352755e-02 -2.14326475e-02 -4.40133596e-03 1.06636505e-03 -2.53114384e-02 9.35425982e-03] [ 0.17921926 -0.09546036 0.08767042 -0.00058578 0.006413 0.12560368 0.0793258 0.00842965 -0.02825398 0.00557536 0.07007439 -0.02525735 0.00525425 -0.04461143 -0.01730655 -0.14211164 0.01300848 0.07380418 -0.12255614 -0.09847788 0.12575789 0.1851176 0.04096765 0.06348553 0.04682202 0.02500692 -0.04000324 0.00993153 0.07267068 -0.08198309 -0.03220113 0.16523515 -0.00457253 0.02477684 -0.05465985 0.00420589 -0.00131457 -0.1735892 -0.01802909 0.0988111 -0.03963111 0.00985049 0.00254428 -0.02281211 0.06352995 0.10210998 -0.12158694 0.01572309 0.02008707 0.019371 0.01424474 -0.00028254 0.03846844 0.0173464 0.02935554 0.01528297 0.1664261 0.00485786 0.02080761 0.02168815 0.18113092 -0.0856333 0.1371956 0.0134881 0.18022761 -0.10760967 0.01247587 0.1399081 0.02522275 0.20946468 -0.13762362 -0.17674662 0.01002273 -0.02569671 0.02267227 0.02894458 -0.04417146 -0.09249812 -0.00375497 0.0184518 0.03290097 0.00047025 0.01304665 -0.18305123 0.0335466 0.09600462 -0.16974239 0.02161872 0.00683207 0.03227421 0.14681326 0.01122564 0.02317248 0.00618065 0.02355785 -0.1402763 -0.09172105 -0.19747083 -0.00195863 0.17108697 0.16038346 0.18711124 0.10059147 0.08350482 0.01081634 -0.00783925 0.1977669 -0.01045619 0.02020741 0.12666327 -0.12934111 0.12385765 0.02083149 0.11757276 -0.04879228 0.05458822 0.10083298 0.0007323 0.13778873 0.03773742 -0.03196917 -0.09942538 0.03274043 -0.01328159 -0.0703889 0.05068611 -0.00515321 0.00994436] Cos Similarity tf.Tensor(0.836083, shape=(), dtype=float32) (128,) (128,) [ 3.53626423e-02 2.00692236e-01 4.61409874e-02 1.50344774e-01 2.77900812e-03 -3.01245768e-02 1.68650374e-01 -1.08200833e-01 1.05852084e-02 1.04994066e-02 -8.06298554e-02 1.03082741e-02 2.43726578e-02 -6.14791512e-02 7.40644857e-02 -7.58290663e-02 3.04262284e-02 2.43205000e-02 -1.64042294e-01 -1.47107812e-02 -1.90521061e-01 -2.07246035e-01 -1.59617756e-02 9.79927257e-02 -1.26180509e-02 -2.80944398e-03 2.34617442e-02 6.68709446e-03 -3.34378355e-03 2.19366431e-01 1.40174985e-01 -1.58687428e-01 1.92553736e-02 2.39421241e-02 8.39836523e-02 3.76858450e-02 4.14873883e-02 2.14902759e-01 -6.01576781e-03 5.49355969e-02 2.22713766e-06 4.65453276e-03 6.87047467e-03 2.47673993e-03 1.23773880e-01 -1.72257461e-02 -2.35211160e-02 -4.16608294e-03 2.01104470e-02 -3.95207293e-02 -3.53439315e-03 4.82218433e-03 1.97660662e-02 6.56426931e-03 3.47925462e-02 -6.63731899e-03 1.03954226e-01 -1.64928511e-02 5.40699530e-03 4.29767976e-03 1.93772539e-01 1.46807373e-01 1.03887156e-01 -1.29839303e-02 1.69567540e-01 1.20927831e-02 -2.51087220e-03 -1.32978246e-01 -1.03423337e-03 -2.71990187e-02 -1.84224248e-01 -1.97668299e-01 3.80643387e-03 2.11945083e-03 -3.76154057e-04 3.41865569e-02 1.38294995e-01 6.28778264e-02 -1.95047120e-04 2.79828794e-02 -6.98042847e-03 2.39778291e-02 7.39289122e-03 1.81437701e-01 3.56997736e-02 -1.77257806e-01 1.49550006e-01 1.09022567e-02 7.48491148e-04 2.03692056e-02 1.44107446e-01 -7.18085393e-02 -3.91712319e-03 2.15499792e-02 -7.90656451e-03 -5.20670833e-03 2.29850277e-01 5.63452132e-02 6.58003241e-03 2.83223763e-02 8.56765509e-02 -4.73753773e-02 1.21954111e-02 -5.61592169e-02 1.71428639e-02 -2.41148248e-02 -5.65023981e-02 9.36975237e-03 1.43953124e-02 2.21611470e-01 1.61223650e-01 1.76243812e-01 9.74932965e-03 2.13698074e-02 -5.99976070e-03 8.69701430e-02 -1.50738433e-01 -1.02842001e-04 3.27344164e-02 1.26724076e-02 1.45008080e-02 8.15053433e-02 3.64775094e-03 3.22525017e-03 8.78567919e-02 1.91676691e-02 9.30378437e-02 -1.31579908e-02] [-0.07871948 0.18127444 0.0790908 -0.06825264 -0.02692443 -0.11253291 -0.00143826 -0.12382255 0.00468356 0.00101591 0.13082662 -0.02037347 0.01164746 0.02924132 0.07128756 -0.12614529 -0.00353727 0.08766209 0.03394491 -0.06147113 -0.17933683 -0.1873354 0.10435958 0.16334774 -0.00395698 0.00084112 0.05826378 0.00872962 -0.03740139 0.12921984 -0.12375765 -0.11185762 0.00245867 0.00203564 0.07446622 0.07169759 0.00315006 -0.11919653 0.0051429 0.14116178 0.17002414 0.00464526 0.00512125 0.00889623 -0.13646139 -0.18475172 0.09293435 -0.00822654 0.01331211 -0.01180873 0.00334522 0.00383077 -0.008314 0.00429576 -0.00802957 -0.00465272 0.00065399 0.00062803 0.00145701 0.00274672 0.13966987 0.10616983 0.08899911 -0.00889096 0.14153513 -0.07292419 -0.01153558 -0.08710852 -0.01438466 0.14324215 -0.18888393 -0.14601596 0.00024884 0.00453385 -0.00331636 0.00920118 0.07356408 -0.10338472 -0.00071575 0.18450317 -0.00460348 -0.04283633 0.00648198 -0.10374722 0.08014359 -0.10442621 0.08603495 0.00179349 0.00638346 -0.06031778 0.1452008 -0.10278544 0.00351297 0.00157496 0.00083311 -0.12819499 0.16553667 0.0789028 0.00352638 -0.1710006 -0.14431942 0.07844993 0.18704933 0.14018348 -0.00363546 -0.02292288 0.08095564 0.00242888 0.00043104 0.00519405 0.05748141 0.10392772 -0.00091762 -0.14892724 -0.01208729 0.01947913 -0.11479765 -0.01308457 -0.1751199 0.0002706 -0.0051542 0.17742927 0.01459789 0.00402149 0.15106657 -0.01372617 0.05215076 -0.0091721 ] Cos Similarity tf.Tensor(0.41827416, shape=(), dtype=float32) (128,) (128,) [-0.01180511 -0.05749625 -0.0130042 -0.11452319 -0.05302966 -0.13750796 -0.15043236 -0.18072258 0.01133746 0.00135939 -0.04604754 -0.00212831 0.01518263 -0.05428986 -0.07945873 -0.0964231 -0.0032011 0.02561393 0.03006295 -0.04229812 -0.01485645 0.13167511 -0.13930461 0.0313869 -0.01309201 0.00831527 0.17482805 -0.03752627 0.16031821 0.10290032 0.02711931 0.14155458 0.0111841 -0.00093033 0.14166838 -0.01818618 -0.01977069 -0.04434302 0.00274962 0.0904164 0.18247312 0.00040161 0.00506867 -0.01505469 -0.1416899 -0.158413 0.03733321 0.01073893 0.01254785 0.01321437 0.00747231 0.00293005 -0.01235355 0.00049833 -0.0105137 -0.00076196 -0.01160825 -0.00455585 0.0039913 -0.03541334 0.15350728 -0.18781406 0.173081 -0.01439702 -0.12961665 -0.15793858 -0.00467777 0.0249937 -0.03306944 -0.19380274 0.11123292 -0.03538864 -0.00302709 0.00366277 -0.00797107 0.00805033 0.04870756 0.01179112 -0.01058331 0.14123553 -0.00571928 -0.00033282 -0.00585783 -0.19058327 -0.1877088 0.05416109 -0.07486862 0.00780439 -0.0065173 0.15539879 0.1523626 0.13734698 -0.00491328 0.00303995 -0.00749341 0.04091431 0.1407471 -0.1876465 -0.00381634 0.11105436 0.09441999 -0.05025376 0.03776772 0.14867042 -0.02018174 -0.01433242 -0.15300474 0.02632776 0.00386762 0.10246304 -0.13462515 -0.1706397 -0.00902457 -0.13979866 0.11215587 0.10726319 -0.17025045 -0.01647788 -0.04527339 -0.00331622 0.00500547 0.14285317 0.01783991 -0.03404972 0.06167462 0.02938481 -0.01174142 -0.00662815] [ 0.10704232 -0.00589071 -0.06494614 -0.09497426 -0.03488746 0.10921872 -0.16445936 -0.13089573 0.00529638 0.00266188 0.11974631 0.00072608 0.01837014 0.01232538 -0.03589866 -0.15822059 0.00418778 0.01465324 -0.03523717 -0.0298463 0.17296903 0.16914368 -0.13201044 0.02783928 0.00988279 0.01839192 0.17159684 0.00070654 0.11351254 0.17585313 -0.0142272 0.08502365 0.00864178 -0.02340668 0.19530444 0.00315024 -0.00649128 -0.09612277 -0.00080708 -0.00609171 0.15290323 0.0068228 0.0067101 -0.00577365 -0.11560549 -0.03983871 0.0512045 0.0038208 0.01086657 0.00548282 0.00394065 0.00248779 -0.01565589 0.01042971 -0.00789088 -0.00326052 -0.02537103 -0.0005225 0.01097489 -0.01304039 -0.01056913 -0.17298985 0.15339103 0.00220584 0.03019248 -0.16716771 -0.01181346 0.02062228 -0.01090961 -0.02671859 0.00100465 -0.0238967 -0.00194156 0.0129483 -0.00118331 -0.00658637 0.1403885 0.05427613 -0.00865631 0.1655658 0.00029624 0.00056098 0.00758625 -0.17104958 -0.00148373 -0.07700244 0.1158569 0.00197712 0.00995797 0.12150625 -0.1174563 0.1764951 -0.00093566 0.00960293 -0.01241915 0.10166704 0.12767556 -0.19845484 0.01242611 0.1737346 0.15771414 0.09638587 0.07801028 -0.02508748 0.00586106 -0.01828269 -0.18407325 0.00168838 0.00998915 0.18499543 -0.12317669 -0.17159772 0.00027646 -0.10982514 0.05571562 0.18375061 -0.19543114 -0.02146415 -0.15510055 0.00585905 -0.00070342 0.00385596 0.02280639 -0.05573398 -0.12493823 0.01962403 -0.02135052 -0.01148251] Cos Similarity tf.Tensor(0.6836011, shape=(), dtype=float32) (128,) (128,) [-1.34666696e-01 7.99892917e-02 -1.61527649e-01 1.21130213e-01 1.22284249e-03 -1.35073662e-01 2.07503945e-01 1.69538967e-02 -1.02044223e-02 -5.88418962e-03 1.25812683e-02 9.65313613e-03 -3.74944811e-03 -3.94583493e-02 2.63430818e-04 9.25124884e-02 -2.64002965e-03 9.53279659e-02 1.08365901e-01 -1.73479617e-01 -7.79023841e-02 -9.95907038e-02 -7.45427143e-03 -9.48300064e-02 -8.90017860e-03 1.20591773e-02 -1.03108548e-01 1.69381183e-02 -8.75130370e-02 1.57430079e-02 -2.29124293e-01 -1.67537898e-01 2.31614988e-02 -3.30201723e-02 -9.05665830e-02 4.54565547e-02 1.02620060e-02 -1.62364787e-03 -8.45418591e-03 -1.08042888e-01 -1.87742725e-01 -2.46148487e-03 -4.45647817e-03 -1.83376123e-03 2.65302211e-02 4.35298719e-02 1.96873873e-01 1.40666924e-02 9.60581005e-03 1.56793874e-02 1.09561617e-02 1.38558429e-02 2.25788932e-02 1.22680124e-02 2.84569396e-04 1.63091999e-02 1.68415010e-02 -2.35876488e-03 4.26731212e-03 1.50956074e-02 -1.32389829e-01 2.27160484e-01 5.69201782e-02 1.62229836e-02 -4.91977334e-02 1.79263633e-02 6.20263210e-03 -1.01029746e-01 9.99173336e-03 -2.37485841e-02 -2.69706324e-02 -3.23425257e-03 -2.52760132e-03 2.93731643e-03 -1.79357696e-02 2.12168172e-02 6.28536642e-02 2.05724966e-02 -5.57687879e-03 1.84320003e-01 -3.83071625e-03 -7.25666294e-03 3.75920255e-03 1.99047714e-01 2.65435204e-02 -7.02790990e-02 -1.60004318e-01 1.59479305e-02 3.83777125e-03 -5.29744066e-02 -2.13777408e-01 9.27324221e-03 -3.17261298e-03 2.93416418e-02 1.25934845e-02 8.34093839e-02 1.50219798e-01 -1.35872051e-01 1.27710300e-02 7.25753158e-02 2.14412883e-02 -1.31674334e-01 2.04624310e-01 -1.06083177e-01 1.99863072e-02 -3.81414220e-02 -2.01747671e-01 6.07483229e-03 1.74960587e-02 -1.20663144e-01 2.06562907e-01 1.70451567e-01 7.35166323e-05 -1.41503304e-01 -3.27530652e-02 4.09752072e-04 9.55202430e-02 1.50912600e-02 9.81220081e-02 1.83981732e-02 -1.79879609e-02 1.57088354e-01 7.77736306e-03 7.78245833e-03 3.34785543e-02 -5.08429408e-02 -1.19868226e-01 -1.27138551e-02] [ 0.04325059 0.08149668 -0.1335532 -0.02619518 -0.02147902 -0.15392116 0.1654383 -0.20203085 -0.00929993 -0.01611591 0.01324195 -0.01414267 0.00466974 0.14214994 -0.00713335 -0.10437222 -0.00313404 0.16254953 0.1599259 -0.16137378 -0.18361315 0.16667663 0.09374839 0.02588058 -0.02281077 0.00452204 0.06122925 0.00391571 -0.04160349 0.14682955 -0.17400232 -0.13137878 0.00416767 -0.0160918 -0.11295625 0.00531707 0.00138291 -0.06133104 -0.00820207 -0.03847698 0.07064372 -0.00086704 -0.00564274 0.00674926 0.1393432 -0.17191185 0.14941493 -0.01476624 0.0078662 0.01316194 0.00371606 0.00414139 -0.0209454 0.00477488 -0.01409138 -0.00055582 -0.03543106 -0.00119561 0.00144818 0.00294942 -0.10896419 0.20205015 0.01595602 -0.00375086 0.08552826 -0.15209132 -0.01152093 0.0384128 -0.0258396 0.09749725 -0.05580987 -0.06083554 -0.00318915 0.00544427 -0.01805325 0.00400231 0.1601377 0.08715577 0.00147576 -0.04791024 -0.00477952 -0.00319949 0.00812197 0.02728729 0.11585177 0.01187348 -0.14852731 0.0012566 -0.0064437 0.07244227 -0.19157192 0.04485044 -0.00805007 0.00858236 0.00448038 0.15906984 -0.14104578 0.02034869 -0.00097105 -0.11731964 -0.08424464 -0.1428351 0.17993066 -0.12348957 -0.00597059 -0.00676673 -0.164735 -0.0010117 -0.01104684 0.02974718 0.17613506 0.1975796 -0.01416562 -0.12220912 -0.04508847 -0.02797079 0.14872932 -0.01847729 -0.00217958 -0.0126853 0.00299378 0.16054109 0.01032942 -0.00422576 0.06012411 -0.03372397 -0.06840525 -0.0135153 ] Cos Similarity tf.Tensor(0.53908217, shape=(), dtype=float32) (128,) (128,) [ 0.01340143 0.09749077 0.06627072 -0.18508753 0.00508694 -0.10212171 -0.03672933 -0.00123206 -0.00261588 0.0013015 -0.1538076 -0.00839759 -0.01056512 0.10650122 0.03689777 -0.16085626 0.00515441 0.07638471 -0.1530442 -0.00459089 0.1105238 -0.08704899 0.17498364 0.00909881 0.0016827 0.00822394 0.19721664 0.00517946 0.10226677 -0.00856394 -0.1440542 -0.10609782 0.02184679 0.02171792 0.19386238 0.05510177 0.01553395 0.0370499 0.0056401 0.1538349 0.05290028 -0.00382365 -0.00742619 0.00433636 0.19851561 0.15739447 0.07534981 -0.00639089 0.01107338 -0.00642739 -0.00141533 0.00081535 -0.00084024 0.01393712 0.01589354 0.02038736 -0.10706707 -0.00223317 -0.00904404 0.00380346 0.09602445 -0.14487268 0.17531857 0.01756741 -0.1829733 -0.19535998 0.00287806 -0.00874068 -0.00957472 0.01520496 -0.08819778 0.0362119 -0.00706046 0.01826387 0.01570554 0.01371992 0.03723026 0.10861062 -0.01343284 0.16847612 -0.02653801 -0.02995316 0.01287209 0.03810257 0.03979163 -0.1542813 -0.15094313 0.00176245 0.00385869 -0.14941436 -0.01315956 -0.04699484 0.01093748 0.02822047 -0.00533358 0.16261065 0.09429034 -0.1099643 0.00414411 0.09401555 -0.12670748 -0.09807096 0.06873955 -0.1414529 -0.0113214 -0.01520451 0.10151217 -0.00240422 -0.0057265 -0.16595857 0.20174177 -0.15756336 0.01022646 -0.08748405 0.01804946 0.13742952 0.18465583 -0.03013542 -0.11539609 -0.01360772 -0.00080641 0.06639738 -0.00994532 0.00404553 -0.10236116 -0.01001658 0.0280059 0.000446 ] [-0.03042707 -0.0768401 -0.08332918 -0.18161939 0.00760571 -0.11013899 -0.14853844 -0.03773278 0.01001902 -0.00672067 -0.02323654 -0.01506716 -0.00553963 0.09711349 0.06415135 -0.20507592 -0.00415213 0.15071957 -0.17231588 -0.0942587 0.05266936 0.06255139 0.07170936 -0.07206197 0.00074844 0.00505485 0.19370009 -0.00539379 0.16006932 -0.04808374 -0.01105078 -0.03393386 -0.01338666 -0.01557206 0.04131312 0.01079741 0.0017308 0.06671287 0.00281684 0.1458673 0.16027005 -0.00918365 -0.00058635 -0.00179093 0.19787402 0.18356264 0.04820638 -0.00639875 0.00483909 0.01128909 0.00161253 0.00475877 -0.00236681 0.01331275 -0.00108424 0.00434979 -0.1718931 -0.00960873 -0.00530738 -0.00362854 0.18674824 -0.1619058 0.17178403 0.01278431 -0.16573763 -0.19356233 -0.00269966 0.10519805 -0.01278632 -0.17743829 -0.06182652 0.05159852 -0.00834067 0.01546596 0.00448265 0.00493604 0.05084188 0.11801057 -0.00591521 -0.00086761 -0.03235188 -0.06940605 0.01593982 0.07258138 0.01704749 -0.17770024 -0.09716562 0.00805264 -0.00833994 -0.0925127 0.10362972 -0.16332507 -0.01278662 0.00975896 -0.00426331 0.19427395 -0.03693071 0.07291028 0.00557762 0.13735123 -0.0721297 -0.02439577 0.11262394 -0.03515591 -0.01008827 0.01540357 0.04615892 -0.01327957 -0.00072716 -0.0901987 0.12739265 -0.15178165 -0.00401365 -0.12626694 0.04453886 0.17814338 -0.01701727 -0.02908697 -0.07575271 -0.00692099 0.0118614 0.14670947 -0.00368534 -0.00293094 -0.11581739 -0.00756879 0.10472537 -0.01330429] Cos Similarity tf.Tensor(0.750834, shape=(), dtype=float32) (128,) (128,) [ 2.11640254e-01 6.79713488e-02 9.31508020e-02 -1.09845512e-01 -3.49112856e-03 1.25876859e-01 -1.88323781e-02 7.86964446e-02 -1.12573421e-02 -3.89507948e-03 -2.62690652e-02 1.37228342e-02 8.07691179e-03 -9.06356126e-02 -4.54590209e-02 -4.53998111e-02 -1.52882608e-02 1.39364928e-01 -8.15349966e-02 9.00203586e-02 -1.55888408e-01 1.71026513e-01 -1.23347595e-01 1.73251554e-01 -2.71123070e-02 1.25741847e-02 1.31269798e-01 -1.86425317e-02 -1.36694133e-01 1.59400523e-01 -8.77847746e-02 1.98480621e-01 6.32184558e-03 1.74314659e-02 -1.02755837e-01 8.38001724e-03 -5.81773138e-03 -1.16811655e-02 -1.49109662e-02 -1.31040335e-01 4.58124168e-02 3.12313763e-03 1.90341193e-03 2.25264952e-03 8.31515193e-02 -6.10881038e-02 -2.94944979e-02 9.37478244e-03 7.20132422e-03 -6.18433673e-03 3.35707190e-03 2.98812613e-03 1.15155010e-02 7.46041117e-03 1.17369555e-02 2.17574481e-02 1.53921783e-01 -1.31477537e-02 -6.14624843e-03 -7.73731340e-03 9.10683498e-02 1.05476432e-01 8.96201581e-02 -7.95300398e-03 -6.88191578e-02 2.00950503e-01 -4.34912788e-03 3.97430398e-02 4.44619032e-03 1.39169961e-01 1.78777263e-01 -1.93974540e-01 2.79664877e-03 2.49029603e-03 -1.16331251e-02 5.76428510e-03 1.99836448e-01 -3.54569778e-02 -3.87561304e-04 2.01643541e-01 -3.02118156e-03 -8.82886872e-02 8.40158947e-03 1.43563122e-01 -1.03372127e-01 5.24208276e-03 -1.99866429e-01 1.83925461e-02 -3.53198173e-03 8.99472088e-02 -1.02599323e-01 -1.72270924e-01 2.28784489e-03 1.72659419e-02 -3.11407191e-03 2.83068772e-02 -1.23454109e-01 -9.87079516e-02 -1.36088673e-02 -1.54578641e-01 -4.79111746e-02 -1.25849307e-01 -7.59961605e-02 1.79560874e-02 -5.47780329e-03 -5.31051774e-03 8.20652694e-02 -1.16695336e-03 -1.12599889e-02 -1.80406526e-01 -1.05577298e-01 7.32810497e-02 -9.69906861e-04 -7.82959461e-02 -9.02428664e-03 1.95039347e-01 -1.52149603e-01 -1.72747262e-02 -6.87233657e-02 -9.79925599e-03 3.35812918e-03 -1.52509641e-02 8.38495605e-03 1.63905090e-03 8.79452378e-02 -5.30561920e-06 -1.30014634e-03 -5.40220551e-03] [ 1.92638367e-01 2.39105728e-02 1.45101711e-01 6.85496554e-02 -3.88879515e-03 1.11849036e-03 1.21225923e-01 1.57260671e-01 2.74759554e-03 -1.11731896e-02 1.90749522e-02 6.50029629e-04 9.38429125e-03 1.00171966e-02 -1.77092869e-02 -1.64122581e-01 -1.52934548e-02 2.40452856e-01 -1.44922674e-01 -6.37376606e-02 1.73729733e-01 1.17647700e-01 -5.59022352e-02 1.23671032e-01 -1.07951844e-02 1.20026218e-02 1.10904194e-01 -7.22469715e-03 1.01268075e-01 1.74615040e-01 1.09764844e-01 -6.06901497e-02 6.85946411e-03 5.20956516e-03 4.59502265e-02 2.95112319e-02 1.13065541e-03 -1.99956402e-01 -1.33436322e-02 -9.10311863e-02 1.36581749e-01 1.42698567e-02 -3.82590981e-04 1.04199890e-02 4.52104136e-02 7.96248615e-02 -1.34525865e-01 1.08832261e-02 6.63694926e-03 2.09042616e-02 5.68606774e-05 3.04155448e-03 3.58469621e-03 5.58178779e-03 -8.47181026e-03 1.13609713e-02 1.16485193e-01 3.82535881e-03 1.68813986e-03 -1.59174926e-03 1.68114245e-01 -5.65805286e-02 -2.10574698e-02 -8.74594878e-03 -1.74275532e-01 1.05966233e-01 -1.89764146e-03 1.37584716e-01 4.64154466e-04 -2.30520591e-02 -1.41984493e-01 -1.54225245e-01 9.01611464e-04 3.35415150e-03 -1.11439740e-02 1.84498411e-02 1.89799890e-01 -9.04212669e-02 -4.36241040e-03 2.35375658e-01 -3.90442600e-03 -7.33698681e-02 7.90556800e-03 4.28499393e-02 -3.18458886e-04 2.11752385e-01 1.64965019e-02 1.27446521e-02 -9.86117171e-04 2.58188695e-02 -2.00901598e-01 8.19613412e-02 1.16072912e-02 7.16994144e-03 1.50441274e-03 1.19911909e-01 -1.26781479e-01 -4.05779295e-02 -5.06032724e-03 5.10940095e-03 3.37707140e-02 3.14433910e-02 9.22304839e-02 -7.02348277e-02 -1.67960059e-02 -1.25982100e-02 -1.88873187e-01 6.87611662e-03 -2.06330344e-02 -2.13929757e-01 -1.99537836e-02 1.97402969e-01 8.31543654e-03 3.59994397e-02 4.23017740e-02 1.97916254e-02 -9.33589414e-02 -2.97432113e-02 -1.14874296e-01 -9.17831715e-03 -5.78003703e-03 1.69313904e-02 6.82622101e-03 -2.29198597e-02 8.82044360e-02 -8.51502083e-03 -2.77112927e-02 -1.29379826e-02] Cos Similarity tf.Tensor(0.4073554, shape=(), dtype=float32) (128,) (128,) [-1.50921971e-01 -6.53892905e-02 1.54353050e-03 -1.68824092e-01 -5.04147680e-03 5.82914576e-02 1.28150657e-01 -1.44019857e-01 2.78271772e-02 9.86910425e-04 -5.21783344e-02 -3.21625872e-03 -4.58043441e-03 5.79121299e-02 -4.69913334e-02 -9.69223380e-02 2.98186131e-02 9.11192596e-02 -1.00548372e-01 -3.97725664e-02 2.81163361e-02 1.21914253e-01 -1.52337894e-01 -1.46041751e-01 5.69836376e-03 -1.17630800e-02 -1.61836118e-01 1.80905201e-02 1.55008554e-01 -1.48987934e-01 1.53738454e-01 -1.19925350e-01 -6.44248212e-03 4.37420058e-05 -9.29579586e-02 -4.86151911e-02 -1.91828404e-02 1.64964497e-01 -1.99362040e-02 1.28855869e-01 3.83540206e-02 3.01263435e-03 -8.54393467e-03 -1.79754924e-02 1.44021019e-01 1.55915216e-01 1.33391544e-01 6.93394849e-03 1.44145843e-02 8.41103680e-03 -2.38467660e-03 5.37607074e-03 4.60753264e-03 7.64738582e-03 1.11293504e-02 5.02959266e-03 1.43151283e-01 -1.38174219e-04 9.57027730e-03 -1.27853034e-02 1.59937546e-01 1.70160711e-01 1.05458029e-01 -4.74987272e-03 -1.55131102e-01 1.07642435e-01 7.97048304e-03 3.69738378e-02 -9.84898861e-03 1.22352056e-01 1.57157332e-01 1.54506564e-01 -6.92348345e-04 1.36363134e-02 -4.18475224e-03 1.35490093e-02 -1.28037170e-01 -5.44129424e-02 2.31166440e-03 -7.24256635e-02 -2.75056977e-02 -1.19312294e-03 1.02933822e-02 4.71055284e-02 1.45279765e-01 -1.48682192e-01 1.47272646e-01 -4.19226621e-04 -2.56430972e-02 6.12627082e-02 -7.73322657e-02 1.10077657e-01 -1.76754408e-03 6.77680550e-03 -1.19297644e-02 -1.24656409e-01 1.21323258e-01 9.21409875e-02 -3.12111853e-03 -9.50159505e-02 1.28070682e-01 -1.48116589e-01 1.49475619e-01 1.19021587e-01 8.52519087e-03 2.34251544e-02 1.71059012e-01 -1.86812691e-03 -1.46789080e-03 -8.80556852e-02 9.56918821e-02 -4.72923256e-02 -2.16911081e-02 -8.35169032e-02 9.78190377e-02 1.13161907e-01 -1.58229768e-01 8.66796914e-03 7.35184690e-03 7.20505184e-03 -2.10681814e-03 -3.39879356e-02 -7.78379804e-03 -1.47638107e-02 1.45532444e-01 -9.62310061e-02 -1.04891829e-01 3.56833916e-03] [-0.18435852 -0.10134047 0.00843522 -0.06576554 0.02976589 -0.01711644 0.00143513 0.05114435 -0.00614365 0.00198845 0.04819989 -0.00044927 -0.00332421 -0.03294772 -0.08322032 0.17015018 0.06555665 0.12299033 -0.11514343 -0.00536138 0.02728324 0.10654531 -0.14569822 -0.15230495 0.0193272 -0.00716641 -0.17704904 0.02189043 0.17615345 -0.11432954 0.14844121 -0.15794745 -0.03076397 -0.02187067 -0.17247684 -0.03624179 0.01697424 0.05658253 -0.02457458 0.12629962 0.10746972 0.02799734 -0.0105907 -0.02911052 0.08380793 0.17780323 -0.05719145 0.01044024 0.0337558 0.04138106 0.0032311 0.00654921 0.02482117 0.01558343 0.02900408 0.00711978 0.11743813 -0.00763838 0.0066963 0.00900987 0.1516226 0.1896739 0.18010224 -0.00640046 -0.1047437 0.07065125 0.00882012 0.12603554 0.01405773 0.13543093 -0.07989268 0.17077357 0.00515237 0.01482864 0.00120806 0.02211781 -0.10823064 0.08892496 -0.00404124 -0.07658622 0.00550119 -0.01655692 0.01063142 0.13836026 0.01371897 -0.16709602 0.1751422 0.00505608 0.00336198 -0.01438578 0.05531904 0.13975586 0.0210712 0.02727604 -0.0128241 -0.15822223 0.14445734 0.02987178 0.01243618 -0.0666142 0.16813786 -0.06670008 0.15347101 0.16763352 0.01154431 0.03018072 0.08850173 -0.00841946 0.019944 -0.06426322 -0.07345107 -0.12502675 -0.01327916 -0.11485587 0.09604076 0.0440173 -0.14739089 0.01909678 0.1126959 0.04035884 0.01682563 -0.04192175 0.01031059 -0.01876889 0.0871857 -0.10054484 -0.10720713 0.00538708] Cos Similarity tf.Tensor(0.7617658, shape=(), dtype=float32) (128,) (128,) [-9.75032374e-02 1.42419517e-01 -2.15836391e-02 -5.32158948e-02 5.57768624e-03 1.42230885e-02 -7.07076713e-02 -3.50761414e-02 -2.85690278e-03 3.81004368e-03 -1.34201720e-01 2.26331316e-03 -7.01451092e-04 8.10682401e-03 5.90921268e-02 1.57249793e-02 1.83933647e-03 3.40917073e-02 5.31072952e-02 -6.23327903e-02 -7.17596337e-02 -1.74740583e-01 1.68135434e-01 1.24825733e-02 3.03049665e-02 5.80552034e-03 2.10913628e-01 -3.22199948e-02 -8.36423710e-02 1.03740662e-01 -1.57655969e-01 2.08302051e-01 -1.40465936e-03 -1.87820960e-02 4.53938991e-02 -1.54519407e-02 1.36759859e-02 -6.89437240e-02 -4.62171994e-03 -6.22938946e-02 6.92531243e-02 -8.89477145e-04 -8.82443693e-03 -1.44105954e-02 1.65160984e-01 1.86667159e-01 1.77125372e-02 1.61920441e-04 3.12049128e-03 1.21692913e-02 1.48727354e-02 1.05370209e-02 1.52085151e-03 9.44888499e-03 1.35149586e-03 2.06661243e-02 -1.69180974e-01 1.49535749e-03 5.37962280e-03 -1.70222260e-02 1.00540183e-01 -1.08136170e-01 1.03821896e-01 7.63896760e-03 -2.21259907e-01 -4.18252684e-02 -1.80129614e-02 -7.42092310e-03 1.55011453e-02 -1.66833088e-01 9.40102413e-02 -7.85142183e-02 -2.53624935e-03 1.34526109e-02 1.12639032e-02 -1.44813824e-02 1.92033172e-01 1.36753172e-01 -5.40067069e-03 -7.02057406e-02 -1.66403446e-02 -1.88696645e-02 1.33937947e-03 -2.29229685e-02 -1.75470591e-01 4.39811274e-02 5.58763072e-02 1.19118327e-02 -1.01676825e-02 1.89217553e-01 4.06287648e-02 2.02912018e-01 -9.82861314e-03 1.26415361e-02 8.02199356e-03 1.82159215e-01 -3.34481969e-02 -1.35490000e-01 -5.42840967e-03 -1.99154228e-01 9.54132676e-02 9.44032371e-02 6.59938380e-02 7.41359890e-02 -2.15244028e-04 -7.65079074e-03 1.96999937e-01 -5.71372034e-03 -9.04604513e-03 -1.97815120e-01 5.78461308e-03 -1.09214336e-01 1.12850256e-02 -9.52285063e-03 2.38730535e-02 1.46485597e-01 1.25984833e-01 -6.90775644e-03 1.43585205e-01 -7.20726280e-03 1.29115228e-02 1.78348869e-01 1.76199544e-02 -1.71921309e-02 -1.14633583e-01 6.26351759e-02 4.59995531e-02 -1.52059393e-02] [-0.16191101 0.15458532 -0.12570336 -0.02344431 -0.00465278 0.05334731 -0.08698758 -0.01064476 0.01046496 -0.00794066 -0.00909452 0.00529776 -0.01122706 -0.03980371 -0.01926934 0.05970057 -0.01791693 0.09007915 -0.21286978 -0.09271304 -0.02322406 0.02200106 0.19562894 -0.00886837 0.00555394 0.00175908 0.19112629 -0.03728865 -0.23743549 -0.02309626 0.16021316 0.20995343 -0.00065309 -0.01716659 0.01228166 -0.00188449 0.00464369 0.10234271 0.0006438 -0.08191512 0.13877665 0.00254799 -0.01309843 -0.02349189 0.18869543 0.12693201 0.09593065 -0.01194682 -0.00227197 0.00437418 0.01118269 0.00349241 -0.00346415 0.00335937 -0.00860176 0.02045662 -0.22699931 0.00224945 -0.00344795 -0.01982747 0.10232321 0.00612892 0.01532984 -0.01764453 -0.2426748 -0.07374829 -0.02078403 0.02342479 -0.00287676 -0.19177376 0.19131605 -0.1119298 0.00259783 0.01220765 0.00212062 -0.01586009 0.14554627 0.06449258 -0.00038319 -0.13874762 -0.02447305 0.0278326 -0.023058 0.11688174 0.04677918 -0.11127731 -0.19124992 0.00982932 -0.01521284 0.17039347 0.03901997 0.02145053 -0.03494278 0.0060066 0.00207398 0.05589497 0.07320748 -0.007015 -0.0117052 -0.22430481 -0.11014476 -0.07610288 0.05974964 -0.05700855 -0.0079897 -0.00280555 0.09807324 -0.01408908 -0.03739689 0.02103036 -0.03762129 -0.00674646 0.00570346 0.01497969 0.06321535 0.13192113 0.01118322 -0.00863083 -0.20805089 -0.00753715 0.00777355 0.02477058 0.01024034 0.01214442 0.09789515 -0.00454118 0.1412949 -0.01390188] Cos Similarity tf.Tensor(0.4901135, shape=(), dtype=float32) (128,) (128,) [ 1.76058486e-01 -8.63056853e-02 -2.74527073e-02 -1.61102965e-01 2.73271394e-03 7.11559206e-02 2.04651609e-01 -4.54895794e-02 7.34872185e-03 3.57921282e-03 1.54380566e-02 -2.59767845e-02 6.36597350e-03 -1.23625780e-02 5.61091714e-02 -1.03988037e-01 5.36870537e-03 -1.84491187e-01 -1.61945894e-01 6.96147606e-02 1.14650466e-01 -2.20678542e-02 2.21643113e-02 5.81089109e-02 2.94850543e-02 2.99487787e-04 6.77706748e-02 -3.15273507e-03 -9.77408141e-02 -9.49724317e-02 6.80105463e-02 1.69473998e-02 9.89992637e-03 -8.49562290e-04 1.74223527e-01 1.14370771e-02 3.34949791e-03 8.70390534e-02 3.32553405e-03 5.60304672e-02 -7.54512921e-02 3.11413803e-03 -2.52242573e-03 1.50641031e-03 -1.72419585e-02 9.04154032e-02 -4.85276543e-02 -3.57157434e-03 1.58199817e-02 9.43794195e-03 -5.01289731e-04 7.04549253e-03 1.51838558e-02 5.52374125e-03 1.44757181e-02 5.90427406e-03 -1.76191643e-01 -1.24681098e-02 -8.80498119e-05 -9.59827157e-04 1.56605929e-01 -1.53460145e-01 1.94652677e-01 -3.82436276e-03 1.80713043e-01 -1.82200551e-01 -3.80762015e-03 1.49022445e-01 8.73636920e-03 1.41327083e-01 -1.43446028e-01 -3.59053016e-02 -1.06713623e-02 1.04138106e-02 2.20243912e-02 1.45327747e-02 1.56414747e-01 -1.00686736e-01 3.20850872e-03 1.76081374e-01 -1.96436490e-03 -1.30658061e-03 3.64994677e-03 -1.25884056e-01 1.64309427e-01 1.75038114e-01 1.33727595e-01 2.05142293e-02 1.98375969e-03 -1.65766120e-01 -1.13179818e-01 -7.29208216e-02 3.06671038e-02 1.00493822e-02 1.37585998e-02 1.36599392e-02 -1.01981223e-01 -1.83998290e-02 9.12064873e-03 1.06771104e-02 -6.55498654e-02 2.06998259e-01 1.83393076e-01 -1.30796224e-01 7.34305568e-03 1.51653746e-02 -1.62877858e-01 1.57082006e-02 -2.51127756e-03 1.80587068e-01 1.17900610e-01 4.03415188e-02 6.94330363e-03 1.14949457e-01 -5.28449044e-02 1.53293893e-01 -6.22748435e-02 -1.60736088e-02 -5.17211929e-02 -2.64108069e-02 4.28125355e-03 -9.63943154e-02 5.93126519e-03 3.84130003e-03 5.88016734e-02 6.02732077e-02 8.97743460e-03 -1.28421970e-02] [ 1.29492417e-01 -1.28440782e-01 -7.43570328e-02 -1.28800273e-01 3.65869422e-03 8.56578425e-02 1.84470266e-01 1.95855796e-02 4.45089675e-03 -7.81204365e-03 4.78675924e-02 -1.20805502e-02 -2.56635696e-02 1.30114168e-01 1.61057822e-02 -2.08429471e-02 -1.22763291e-02 -1.26625314e-01 1.57696456e-02 3.86593305e-02 4.95200306e-02 1.84385836e-01 3.10418550e-02 9.76852924e-02 1.47598432e-02 -3.23086884e-03 1.17674191e-02 -1.33748155e-03 -9.86322165e-02 -1.61127135e-01 8.91341493e-02 -4.61700708e-02 -1.38431955e-02 -2.25827675e-02 -1.30226716e-01 -2.03845147e-02 -2.25106510e-03 -8.27309638e-02 7.96158705e-03 5.46882162e-03 -1.14010029e-01 -7.95805547e-03 -5.32884058e-03 -1.00397617e-02 1.83246717e-01 1.57585368e-01 1.78166642e-03 -4.85014590e-03 1.59345160e-03 1.64379925e-02 -3.88201606e-03 7.70001439e-03 -6.07218966e-03 3.01820505e-03 -1.37705384e-02 6.18103379e-03 -1.86616495e-01 -3.91601911e-03 -1.19323293e-02 -1.66615788e-02 1.70234188e-01 -1.28117204e-01 1.43225849e-01 -4.37792018e-03 -1.19953007e-01 -1.57284513e-01 -1.84428075e-03 1.86079532e-01 -1.49959803e-03 5.05947880e-02 8.32316503e-02 -6.61504194e-02 -5.57347061e-03 6.51501492e-03 1.22173959e-02 4.30568494e-03 6.11530207e-02 -1.32978521e-02 -3.17834497e-06 2.83311792e-02 -8.79389420e-03 -4.76920046e-03 5.07226726e-03 -1.28358305e-01 1.38757542e-01 1.41939238e-01 1.48375168e-01 8.94411188e-03 -1.75261106e-02 -1.42384425e-01 -1.69406995e-01 -1.35978088e-01 -1.30184582e-02 4.77932487e-03 8.28664657e-03 1.64295927e-01 -1.17854893e-01 7.61541426e-02 2.20011524e-03 -1.15514174e-02 -2.05583841e-01 2.13269070e-01 1.51140347e-01 -1.03228770e-01 -9.69549932e-04 1.71852019e-02 -1.32770240e-01 -2.42413790e-03 -2.28907596e-02 2.13538557e-01 -1.91737283e-02 -6.62114322e-02 -1.43419588e-02 -1.00223131e-01 -5.16988821e-02 3.62765491e-02 8.58291462e-02 -2.95595434e-02 2.04166159e-01 -1.26410862e-02 8.56900308e-03 -1.70390740e-01 2.44292489e-04 -1.54209731e-04 5.67125455e-02 1.79447178e-02 -3.96998413e-03 3.02081672e-03] Cos Similarity tf.Tensor(0.61614585, shape=(), dtype=float32) (128,) (128,) [-0.06915007 -0.1281812 0.04589522 -0.13747755 -0.03328605 -0.02245104 0.18252793 -0.15615262 0.01300791 -0.00623823 -0.03675274 0.02068579 0.0009273 -0.00367885 0.00518765 0.14853618 0.00883775 -0.13984627 -0.19637862 -0.06335893 -0.14166282 0.17138405 -0.18740952 0.11747402 0.00690917 0.00858158 0.07136358 -0.00773597 0.0189842 0.18775578 -0.04073046 0.02411124 0.00533012 0.00819143 -0.19154705 0.02185982 -0.03194132 0.07461101 0.00701631 0.10288403 0.06027503 -0.00856742 0.01011966 -0.00640116 -0.02361616 0.07398994 0.18782526 0.01526297 0.01744209 -0.00281931 0.00260902 -0.00050853 -0.00059388 0.00051461 -0.00028509 0.00437605 -0.1990438 -0.00403504 0.00296065 -0.00748724 0.19445531 -0.1664773 -0.16816054 -0.00876562 -0.01656653 -0.04006583 -0.0020305 -0.07759882 -0.00727507 0.01225389 -0.00669658 0.16747381 -0.0031172 0.01642069 0.0017544 0.02107296 0.06217686 0.00693705 0.00231819 -0.08112226 -0.00764593 -0.02034734 -0.01134387 0.1896906 -0.15597455 -0.0158691 -0.11762755 0.01366941 -0.0018389 -0.18267208 -0.11271226 0.04189116 -0.00728819 0.00170766 -0.00088139 -0.18994032 0.12671863 0.04503258 -0.01936132 0.2045569 -0.09556624 0.14731558 0.08560817 0.01430264 -0.0026858 0.0102095 0.12792881 -0.00520967 0.01110082 0.01764077 -0.09719557 0.03416356 -0.01741492 0.06638101 0.03103692 0.13818373 -0.14220016 -0.0014229 -0.17849395 -0.02245173 -0.01010134 -0.05622922 0.01897697 -0.00747793 -0.12292273 0.01376454 0.08698303 -0.01301951] [-0.15840726 -0.12446976 0.04598169 -0.19058947 -0.0084294 -0.01845613 0.15599929 -0.11857576 0.01119095 -0.00257357 0.18057619 0.01943201 -0.01392379 -0.05104841 -0.0085104 -0.06448271 0.00634078 -0.10881343 -0.20294459 0.03585752 -0.11239338 -0.0530513 0.00967649 0.04946425 0.00432226 0.00297942 0.04414602 0.01043751 -0.16155082 0.18285318 -0.20231506 0.1277288 -0.00239777 0.01392944 -0.12264311 0.03751479 0.0056221 0.04880117 0.00803678 0.04365036 -0.06363392 -0.01082041 0.00208175 0.00351649 0.07580829 -0.14537686 -0.0870123 0.01802535 0.01252992 0.01406098 0.00223077 -0.00157979 -0.0032784 0.00820117 0.00549672 0.00393916 0.06501475 -0.0104595 0.02095314 0.00212954 0.18888995 -0.2017965 -0.01123728 0.01453668 0.18533096 -0.17464885 -0.00110805 0.0740539 -0.00508071 0.0597305 0.10170595 0.19821063 -0.00056449 0.01818829 -0.00541871 0.02235764 -0.129041 0.14150123 -0.00310813 -0.0282211 -0.00346759 -0.00023771 0.00496273 0.1839613 0.1483653 0.15299274 0.12545024 0.01834527 0.0012454 -0.11486323 -0.15814298 0.10634723 -0.00173427 0.00759851 0.00962793 -0.1273993 0.00714085 0.06886155 -0.00401245 0.10192408 -0.13390806 0.06950144 0.11507751 0.03634829 -0.00725977 -0.00843977 0.19526805 0.02923652 0.010967 -0.13426618 0.00246364 0.18726535 -0.01465757 0.0658589 -0.03583655 -0.04039597 -0.1105848 -0.00623907 -0.06652777 -0.00928908 -0.01525148 0.00526239 0.03927776 0.00192095 -0.10293442 0.0489751 0.04028096 -0.01106214] Cos Similarity tf.Tensor(0.4763497, shape=(), dtype=float32) (128,) (128,) [-1.33406609e-01 1.58549517e-01 -1.51618585e-01 1.85705870e-01 -2.81180837e-04 -1.57124847e-02 3.66827659e-02 2.52547441e-03 -1.99121539e-03 -1.82221495e-02 -1.50184333e-01 -1.35387480e-02 -1.45284245e-02 9.21402052e-02 1.09926509e-02 -3.58437450e-04 -1.53558785e-02 -6.93070367e-02 1.15383133e-01 -1.79330871e-01 4.28486289e-03 -1.56491667e-01 -1.84167773e-01 5.57134859e-03 -1.09266536e-02 -2.56761769e-03 -5.42965122e-02 5.84581494e-03 -1.29754752e-01 4.02747450e-04 -2.04293653e-01 -9.32322741e-02 1.30189853e-02 4.92374413e-03 -5.79808876e-02 7.40066916e-02 1.00153266e-02 -4.06934991e-02 -1.12814712e-03 -1.78478941e-01 6.10355586e-02 -4.67562908e-03 -4.36727831e-04 -1.17044430e-02 -4.97788973e-02 -3.98684591e-02 -1.85318694e-01 8.64319596e-03 5.33469347e-03 6.61398331e-03 1.09001026e-02 1.67116430e-02 1.26542430e-03 4.75321105e-03 -1.47840884e-02 4.64050053e-03 -2.74700625e-03 -8.84918310e-03 -5.17526595e-03 4.20499360e-03 -1.40592277e-01 2.01409087e-01 1.84854381e-02 -1.18487086e-02 -1.09161437e-01 9.25180409e-03 -6.88690599e-03 -2.07799926e-01 -4.96234838e-03 -1.47746071e-01 8.68588500e-03 -1.29150465e-01 1.06464410e-02 8.47448362e-04 -7.43792858e-03 5.80994179e-03 4.17093048e-03 1.16075212e-02 -4.31406312e-03 9.16812569e-02 -1.97618380e-02 -2.53993478e-02 -1.12632550e-02 2.23994195e-01 6.11528615e-03 -2.05655843e-01 -9.74645242e-02 1.27108106e-02 -3.27578909e-03 5.68221211e-02 -1.17216492e-02 -9.43181012e-03 -2.82922350e-02 5.24293119e-03 3.30721401e-03 -1.99334666e-01 -3.79102305e-02 2.31361599e-03 4.72961320e-03 3.90184708e-02 5.73100857e-02 1.99609380e-02 2.37746939e-01 -5.80486469e-02 -1.51995264e-04 -3.50350305e-03 1.55644149e-01 2.53270268e-02 -1.94282588e-02 -7.08418489e-02 1.01546638e-01 5.07893972e-02 -8.26117583e-03 -2.03959823e-01 2.15018466e-02 6.16320968e-02 4.69068363e-02 5.43269329e-03 -1.43900111e-01 3.95047991e-03 -5.99163491e-03 2.38858551e-01 4.61809710e-03 -3.54826101e-03 1.55181259e-01 7.89185390e-02 -1.54589042e-01 -1.15106981e-02] [-0.16077115 0.22583905 -0.16881971 0.21213317 -0.00501713 0.11480331 -0.03946886 0.03530809 0.00259347 -0.02487468 -0.23241861 0.00378495 -0.0305614 0.10487343 -0.00391355 -0.14724241 -0.00680137 -0.04380285 0.11841331 -0.16760246 0.18068805 -0.13950233 -0.10177897 0.00729191 0.00386873 -0.00132031 0.05642579 0.01170408 -0.18847974 0.06226349 -0.2274717 -0.16719851 0.00677777 -0.03780967 -0.04845209 0.02629437 -0.01239764 -0.00054371 -0.00377051 -0.06966484 -0.01631754 -0.00366246 -0.02068098 -0.00697865 0.0757627 0.0195311 0.04110123 0.01686276 0.01266924 -0.00144253 0.01701836 0.01539234 -0.00180231 0.00790993 -0.0055643 0.01306767 -0.05100516 0.00052209 0.00126827 0.00602839 -0.12980275 0.06969716 -0.06059802 -0.01195817 -0.03210255 -0.14524855 -0.00027471 -0.00555146 0.0107569 0.00141613 0.00365354 0.04309383 0.00025302 -0.00656943 -0.00586545 0.01727135 0.01713401 0.09427372 -0.01234133 0.17121086 -0.0123612 -0.003496 -0.00877522 0.10707052 0.13866393 -0.12058144 -0.02363517 0.01283047 -0.00954797 0.02360455 -0.14718394 -0.04049459 0.00908802 0.0132226 0.01043235 -0.19934642 0.14426862 -0.00745647 0.00512156 -0.19129628 -0.07593583 -0.14655356 0.17048548 -0.19721349 -0.00339114 -0.02008162 -0.21730305 -0.00457464 -0.01866833 -0.13957725 0.02763422 -0.07696906 -0.01623425 -0.06491699 -0.0383307 -0.02025631 0.13819827 0.00091092 -0.07661326 0.0013408 -0.00173319 -0.00593531 0.00441343 0.00390362 0.06959744 -0.00802011 -0.17665283 -0.03173218] Cos Similarity tf.Tensor(0.5549698, shape=(), dtype=float32) (128,) (128,) [-1.29642487e-01 1.68404534e-01 -3.22244391e-02 2.02256173e-01 -5.04228286e-03 5.27006814e-05 1.23655170e-01 1.18849417e-02 -7.89022818e-03 3.31378193e-03 -1.17461823e-01 -8.22214410e-03 -8.03775713e-03 4.87863310e-02 1.06896907e-02 2.01201662e-02 -6.91121211e-03 -1.41720220e-01 1.40265837e-01 -1.52171075e-01 -1.45485774e-01 -1.49566278e-01 -1.25111520e-01 2.23890599e-02 5.03818644e-03 1.12559777e-02 1.03101619e-01 -2.92249378e-02 -2.34676823e-01 -1.82908893e-01 1.17950015e-01 9.66377382e-04 3.28189321e-03 -4.29901807e-03 1.62351206e-01 1.84127670e-02 1.29268877e-02 3.38263474e-02 -3.97508359e-03 1.04345798e-01 1.92427933e-01 4.30541206e-03 -6.32996263e-04 1.03574395e-02 1.58993781e-01 2.14605778e-02 -9.63762682e-03 7.19530694e-03 -3.81293567e-03 1.26975803e-02 3.70414020e-03 4.18810965e-03 9.49681550e-03 -1.23719638e-03 3.73708317e-03 1.59436800e-02 -1.50773853e-01 -4.10778634e-03 -1.50975818e-02 -9.83983185e-03 1.02957316e-01 2.08494529e-01 -7.17610791e-02 -4.98961005e-03 -1.18032411e-01 -1.61936313e-01 -1.08278589e-02 6.37345836e-02 -1.36498585e-02 -6.26758784e-02 1.19533449e-01 7.28041679e-02 3.81994876e-03 1.68753974e-02 1.19955058e-03 -1.82705577e-02 4.05404679e-02 5.57807274e-02 -9.84684099e-04 -6.27623424e-02 -2.52114460e-02 7.87321404e-02 -2.35284567e-02 1.80752069e-01 -2.10490480e-01 1.90330949e-02 -9.68511552e-02 3.34555958e-03 -3.19186272e-03 1.72455385e-01 1.78769544e-01 -1.37514293e-01 -1.09703671e-02 8.85006506e-03 5.43823559e-03 1.09442599e-01 2.30892673e-02 1.07424565e-01 -2.31662504e-02 -1.70582250e-01 -1.26324013e-01 -1.55399233e-01 5.13324887e-02 1.26681089e-01 -1.90866180e-03 -3.06339376e-03 1.43550605e-01 -8.15198477e-03 -1.51659623e-02 -1.34048551e-01 -5.93378469e-02 -7.60774389e-02 8.11610837e-03 5.02157062e-02 -3.25704785e-03 1.27577886e-01 -1.24256775e-01 3.03121074e-03 2.58080661e-02 -1.09693976e-02 1.40871876e-03 8.92165899e-02 -5.31924050e-03 -1.28696859e-02 4.29838225e-02 1.73602905e-02 2.09456664e-02 -8.54108110e-03] [ 1.95340216e-01 -1.43773064e-01 1.12644978e-01 7.32822195e-02 3.21843885e-02 1.32001722e-02 -1.37812316e-01 1.46577984e-01 1.03423148e-02 1.05390968e-02 -2.38726661e-03 5.28706685e-02 4.01389897e-02 1.06088877e-01 6.66886717e-02 2.03341514e-01 3.77364121e-02 3.35342772e-02 1.61017552e-01 -1.09612256e-01 1.42963201e-01 -1.58632770e-01 -1.96776241e-02 8.72601569e-02 4.77478169e-02 5.48433512e-03 1.74826413e-01 1.54193910e-02 -2.00264663e-01 -1.20175317e-01 1.25845969e-01 -7.37656355e-02 2.68340530e-03 4.46675792e-02 -7.58227287e-03 -2.77420459e-03 3.92424092e-02 1.21457174e-01 -2.13938318e-02 1.24960028e-01 1.51702501e-02 1.32652884e-02 2.62785144e-03 -9.16372892e-03 1.75980046e-01 1.78166106e-01 4.26862650e-02 5.48741035e-02 3.14101130e-02 1.74541082e-02 -2.61966209e-03 6.22237334e-03 3.22821811e-02 2.42337417e-02 5.67004718e-02 4.02333476e-02 1.84078231e-01 -9.97180492e-03 -6.40384806e-03 2.69403290e-02 8.55350196e-02 -9.14452747e-02 2.33180840e-02 3.49073336e-02 1.76235497e-01 -1.50330171e-01 2.28421520e-02 7.03181699e-02 4.43563461e-02 2.27570720e-02 1.59898475e-01 -1.46833956e-02 6.87688217e-03 5.37103526e-02 1.67775806e-02 5.34116477e-02 1.89553708e-01 -1.49041176e-01 -1.12680355e-02 1.17215566e-01 -2.65486841e-03 -3.38162221e-02 1.15457755e-02 1.98268801e-01 -1.93558171e-01 -4.66984324e-02 -5.93721028e-03 7.24664051e-03 9.61642340e-03 9.35493037e-02 3.14021111e-02 2.42393068e-03 3.81974466e-02 4.61331494e-02 -9.87303443e-04 -9.22104120e-02 1.83195606e-01 -1.63221419e-01 -8.98018261e-05 -4.89365719e-02 -8.72486979e-02 -9.21244249e-02 1.68197006e-01 -2.60393564e-02 1.43404696e-02 2.22780146e-02 -5.29362485e-02 -1.89216412e-03 3.55483517e-02 -5.73579520e-02 -1.30408913e-01 -2.15217210e-02 1.96113866e-02 8.79717171e-02 3.16794477e-02 -8.80637467e-02 2.67500021e-02 4.16204380e-03 -8.70873258e-02 -1.29140690e-02 2.08469499e-02 1.43816963e-01 -2.03794101e-03 3.56256426e-03 -7.41964206e-02 -3.38501297e-02 -1.28607694e-02 -2.93101463e-03] Cos Similarity tf.Tensor(0.24275261, shape=(), dtype=float32) (128,) (128,) [ 0.1743449 -0.19101968 0.05499132 -0.0002364 -0.00618818 0.00460771 -0.10482723 0.11429127 0.02670121 0.01891753 -0.06410704 0.04747523 0.03076737 -0.01512798 0.07970419 -0.08773624 0.0282923 0.00604911 -0.13208641 -0.01025312 0.12783079 0.08419342 -0.09470297 0.13214487 0.02998368 0.01399171 0.0812009 0.01334933 -0.14080958 0.15751395 0.03116662 0.14480677 0.02378148 0.02536587 0.05490636 0.03395785 -0.01020049 0.10532622 -0.03752727 -0.05096964 0.03319976 0.00996413 0.00214175 0.00712575 -0.09318348 -0.2045701 0.01594609 0.0153725 0.02369617 -0.02201964 0.00995829 0.00125916 0.02439435 0.03141825 0.0442251 0.03002238 0.04547571 -0.02729878 0.00641849 0.01464123 0.1785569 -0.17746206 -0.1137832 0.02960311 0.06320793 -0.15909338 0.00194992 -0.00343545 0.03109328 0.03705085 0.00676056 -0.02269985 0.0086502 0.04061827 0.02130968 0.0606013 -0.11375933 0.16442284 -0.03228506 -0.17219906 0.00098944 -0.00432451 0.00107186 0.1745661 0.01854011 0.18652675 0.13685136 0.02574485 0.01552621 -0.0687547 -0.07914151 0.02633332 0.0187503 0.03004624 0.01913952 -0.13132413 -0.12742162 -0.07235568 -0.00612992 -0.13006139 -0.13203135 -0.17316715 -0.13503435 -0.21384633 0.02025437 -0.01277107 0.12786424 -0.00959025 0.0099801 0.15569606 0.06328071 0.00584079 0.02102329 -0.04161898 -0.04935557 0.19281688 -0.19939429 0.00071731 0.20410882 -0.01013613 0.01168742 0.1529312 0.02048175 0.02137721 -0.06946445 0.09500278 -0.01960935 -0.01433745] [-0.15338594 0.10957253 0.07835181 -0.1053442 -0.03278501 -0.02265722 0.12380525 -0.09277705 0.03391768 0.03043378 0.0289076 0.06414206 0.05310623 -0.19021401 0.08789931 0.02642805 0.01065309 -0.05622575 0.0837856 -0.08303463 0.09217252 0.05889677 0.07684603 -0.00862963 0.03458039 0.0250714 0.16592354 -0.02969721 -0.21213229 0.10416953 -0.1638208 0.08581293 -0.0047456 0.01893957 0.17805807 -0.01195266 -0.00061553 -0.07529986 0.01165152 0.17473526 0.19103041 0.0155095 0.01864759 0.0155464 -0.07327665 -0.09948203 0.01704352 -0.00985361 0.02196603 0.00584631 0.04250399 0.00072948 0.06081466 0.01145513 0.08827713 0.02806411 0.20677277 -0.02030762 0.03880262 0.05701905 -0.12842003 -0.07131017 0.07244603 0.01445158 -0.02804875 -0.0301097 -0.00973609 0.19714622 0.03284979 -0.11654317 -0.02170308 -0.24915728 0.01381095 -0.00950764 0.02308749 0.03342008 0.01947518 -0.05894079 -0.00453957 -0.25311026 0.03697708 0.00505465 0.00322571 -0.02561638 -0.05597136 -0.12513967 0.18205471 0.04248002 0.00535524 0.01711623 -0.04458475 -0.06669125 0.01477192 0.03299785 0.0083954 0.18940733 -0.03289413 -0.15369628 -0.00051391 0.07218034 -0.05794716 0.01122147 -0.08032261 -0.14308284 0.01774426 -0.05505039 -0.12986434 0.00712416 0.04618153 0.12274759 0.00410401 0.11210372 0.00696832 0.03271047 -0.01130925 0.09345282 -0.08989689 0.02481381 0.03868098 0.02535671 0.02701093 0.17077537 0.08953311 0.02878087 0.10911743 0.04750831 0.16872719 -0.02219961] Cos Similarity tf.Tensor(0.17469731, shape=(), dtype=float32) (128,) (128,) [ 0.14975044 0.0335633 0.02542948 0.15690179 -0.00299405 0.06233153 -0.13487841 0.09217532 -0.00103683 -0.00058584 -0.13782004 0.00602943 0.02400563 0.08514614 0.05887089 -0.07398304 -0.00581903 0.04183132 0.09016179 0.19598402 -0.05526851 -0.11206996 0.12413225 0.02964966 0.00406931 0.00323086 0.2287916 -0.00418369 -0.11345025 -0.03847449 0.07735897 0.12233375 0.01153804 0.00723891 0.13896109 0.02232621 -0.01926399 0.06597204 0.00279783 -0.12592892 0.07464055 -0.00224451 -0.00284625 0.00538756 0.11460264 -0.16943981 0.13991311 -0.00285342 0.00834466 -0.01527015 0.00655042 0.00679933 -0.01697316 0.00705407 -0.01273283 0.00521211 -0.10785037 -0.00986694 -0.00227804 -0.01017746 -0.00892092 -0.08813248 -0.03865597 -0.0245609 -0.02271318 0.17458184 -0.01096963 -0.15731099 -0.01007504 0.09525133 -0.18158633 -0.1718668 -0.00128407 0.00157523 -0.00065013 -0.00621055 -0.16132896 0.02334159 -0.00178878 0.16998531 -0.00577301 0.00050061 0.00406331 -0.05936006 -0.13390866 0.02595125 -0.12514521 0.01221066 0.0007941 -0.0387345 0.07080664 -0.11508338 0.00203367 0.00548277 0.00125655 0.11230262 -0.04431937 -0.08317333 -0.00167099 -0.23985532 0.11734799 0.1198731 0.07022469 0.09575697 -0.01437234 -0.00740603 0.16335401 0.00173671 -0.01421932 -0.18428326 0.14290401 -0.02167167 0.00203433 0.01524447 -0.04109002 -0.0627045 0.20545389 -0.00834872 -0.17423454 -0.03752845 0.01219715 0.21355616 -0.01500038 -0.00082994 -0.09309055 0.03628334 0.07997473 -0.01352359] [ 2.15235993e-01 2.66229846e-02 -7.77368024e-02 1.44605607e-01 -6.30145520e-03 8.05497542e-03 -1.66371629e-01 1.93699058e-02 -2.50596018e-03 2.69880565e-03 -9.16120037e-02 6.70163659e-03 1.89544223e-02 3.92599404e-02 3.09159998e-02 -4.63432595e-02 -3.01419059e-03 7.91233853e-02 1.10856354e-01 2.22216725e-01 -1.20238513e-01 -9.37177539e-02 -6.39508367e-02 3.97765897e-02 -2.65382044e-03 5.78299910e-03 2.08075106e-01 -2.98873964e-03 -1.90365791e-01 -3.72346379e-02 9.10559446e-02 7.61353821e-02 1.66919548e-03 1.47271445e-02 1.65856138e-01 3.09556704e-02 -2.49599218e-02 7.94864148e-02 -2.10528616e-02 -1.94002554e-01 1.17779985e-01 -8.98688682e-04 -1.86087855e-03 1.03806537e-02 1.13593444e-01 -1.89403221e-01 3.23351733e-02 -4.98021441e-03 1.35148363e-02 -1.26071144e-02 3.44718574e-03 -4.46338701e-04 -1.60540212e-02 1.04716737e-02 -7.49597978e-03 9.04377364e-03 -1.42711282e-01 -1.16765071e-02 3.09141236e-04 -1.86687883e-03 3.71898920e-03 -1.19995914e-01 5.31184897e-02 -8.27622786e-03 3.70294005e-02 1.39362916e-01 -3.14714690e-03 -1.69419602e-01 -1.08484607e-02 8.55813622e-02 -1.56429678e-01 -1.94773793e-01 -2.35418906e-03 -2.21921061e-03 -2.35111034e-03 3.29463772e-04 -1.71041220e-01 1.07964333e-02 -9.61708371e-03 1.87030613e-01 -2.04195292e-03 -1.58941951e-02 5.12055634e-03 -2.31484585e-02 -1.33202925e-01 4.25089337e-02 -7.59094208e-02 1.17684901e-02 3.14742583e-03 -5.08616902e-02 4.98531125e-02 -9.16565433e-02 3.57357312e-05 9.38750990e-03 3.05790734e-03 1.37881935e-01 -5.35401665e-02 -6.50840700e-02 8.22310918e-04 -1.83833659e-01 1.24565445e-01 1.25450462e-01 1.03651695e-01 9.52757895e-02 -6.29626168e-03 -1.19328210e-02 1.73624650e-01 2.66934722e-03 -4.75881482e-03 -1.06186733e-01 1.10355973e-01 3.00017744e-02 4.78760153e-03 1.43625528e-01 -7.21134171e-02 -8.12407304e-03 1.87083200e-01 -1.79924853e-02 -1.81048825e-01 -3.08537260e-02 5.19439438e-03 1.19612306e-01 2.12395657e-02 1.02371080e-02 -1.02603361e-01 3.92345861e-02 6.87428564e-02 -1.62111577e-02] Cos Similarity tf.Tensor(0.9137856, shape=(), dtype=float32) (128,) (128,) [-1.16819888e-01 -1.44275934e-01 1.68603472e-03 -1.56824768e-01 5.20969799e-04 3.54523249e-02 1.36981741e-01 -1.68136045e-01 1.53459450e-02 -6.61831058e-04 -1.18828624e-01 9.03561246e-03 9.14628711e-03 9.22551379e-02 -4.98956665e-02 -5.53207053e-03 3.88322175e-02 1.34858355e-01 -4.00520898e-02 -8.64451227e-04 6.43958002e-02 1.06049299e-01 -1.69617981e-01 5.03503792e-02 -1.06602432e-02 -4.43803234e-04 -1.45739064e-01 1.03605622e-02 1.07370950e-01 -1.49230167e-01 1.25902802e-01 7.77408332e-02 -1.46289961e-02 -1.43056661e-02 -7.35876933e-02 -4.49676774e-02 -3.13916318e-02 1.91205636e-01 -2.25840975e-02 9.11283940e-02 -5.07998699e-03 8.19558557e-03 -6.70082262e-03 -9.27570648e-03 1.69764951e-01 1.06852263e-01 -1.20085545e-01 1.19036324e-02 1.56008583e-02 1.97714418e-02 1.11635914e-03 7.94266991e-04 2.63005844e-03 6.94392202e-03 8.97069741e-03 1.16044749e-02 6.58547282e-02 1.81080960e-03 1.41949123e-02 -5.76720433e-03 1.21405751e-01 1.83154538e-01 6.98410124e-02 -2.18163384e-03 -1.35646120e-01 1.43058673e-01 5.04010217e-03 8.92066881e-02 -5.81910694e-03 9.82567891e-02 1.03810713e-01 1.46620616e-01 -6.27855305e-03 1.87305324e-02 -7.69606559e-03 1.90897454e-02 -1.39424264e-01 5.93251996e-02 7.65576959e-03 1.43127188e-01 -2.24231426e-02 4.95158834e-04 -4.34904499e-03 1.30324751e-01 1.24975212e-01 -7.94179365e-02 1.69272259e-01 8.32833722e-03 -1.65156042e-03 -1.06562003e-01 -1.18750080e-01 9.84363109e-02 1.77835356e-02 2.33231839e-02 -1.40986294e-02 -1.76312000e-01 1.39241025e-01 -1.79387666e-02 4.81289439e-03 -1.03326336e-01 1.75768420e-01 -1.72911450e-01 1.68753654e-01 5.33411168e-02 1.27447108e-02 -1.57769956e-02 1.81971654e-01 -5.50210988e-03 -4.00487697e-05 -1.41449720e-01 1.02438875e-01 -4.14153524e-02 -1.97054893e-02 -1.39645323e-01 1.15951665e-01 1.08996123e-01 -1.71401337e-01 9.05894954e-03 2.06587072e-02 1.68701112e-02 -4.90866182e-03 -1.12804100e-02 -1.94978099e-02 -8.64742976e-03 7.34630898e-02 -5.45853637e-02 -1.13188736e-01 -1.19757245e-03] [-0.18281205 -0.06003289 0.02123081 -0.18616973 0.00245654 0.10143161 -0.04739093 -0.07108415 -0.00089905 -0.00096185 0.03555244 -0.00679919 -0.02287998 0.03759275 -0.06949881 0.00737936 0.0278666 0.06351138 -0.09357956 -0.03283697 0.04907316 0.12245269 -0.17251857 -0.07995939 0.00635786 -0.00206324 -0.18290162 0.00593993 0.08130471 -0.14835842 0.13539675 -0.11658406 -0.02018985 -0.03327835 -0.1001061 -0.00402112 -0.00686104 0.09759254 -0.01780668 0.1234842 0.09820782 0.02324112 -0.01802225 -0.01760709 0.04526279 0.15924874 0.11737214 0.00569716 0.01843958 0.02211742 0.00153922 0.00512565 0.01153585 0.00830683 0.00905278 0.01538632 0.00666631 -0.01077513 0.01272354 -0.00501408 0.10284199 0.1944046 0.16093375 -0.01569447 -0.14859071 -0.00937086 0.01118819 0.1197238 -0.00413355 0.09566069 0.13350707 0.06647037 -0.00377574 0.01718854 -0.00550461 0.01607587 -0.15429562 0.01468173 -0.00119148 0.03128013 -0.01332156 -0.00921459 0.00091846 0.16990423 0.11989347 -0.12432281 0.17410085 0.00643214 -0.02601792 -0.0994515 0.090814 0.13081987 0.01175603 0.00994506 -0.03087229 -0.16821724 0.01191503 0.092902 0.00923701 -0.10942102 0.15826976 -0.17080826 0.1601475 0.04507447 0.00102847 0.02406875 0.18768375 -0.00601444 -0.00572591 -0.15520681 -0.1305 -0.04633787 -0.01768571 -0.13520356 0.12490838 0.14114986 -0.14377782 -0.03051585 0.16914909 0.00491332 0.01360062 -0.04894229 0.01466365 -0.01138175 0.1273862 -0.09999166 -0.10533521 0.00654388] Cos Similarity tf.Tensor(0.7583058, shape=(), dtype=float32) (128,) (128,) [ 1.61108628e-01 -1.33779317e-01 6.14743419e-02 1.38763621e-01 -1.26360115e-02 7.24263340e-02 1.09948911e-01 -1.95085537e-03 1.52602168e-02 -4.21809265e-03 -5.75800613e-02 3.16009135e-03 3.85933602e-03 9.60012674e-02 2.95654535e-02 1.79951280e-01 1.78243183e-02 -5.12182340e-02 -4.12930474e-02 -3.23875882e-02 -1.37732685e-01 -1.38591096e-01 3.99975814e-02 -1.49287045e-01 -9.07772314e-03 6.98607473e-04 -8.93398188e-03 1.22492891e-02 -9.20708701e-02 -1.69398293e-01 -1.55085936e-01 1.53588280e-01 2.07197480e-02 2.67139133e-02 8.30089748e-02 -8.18291679e-03 1.71906129e-02 8.75799805e-02 -1.01225758e-02 1.66238651e-01 -1.78091675e-01 -5.16871037e-03 3.77115118e-03 -4.56887344e-03 1.87693670e-01 1.69060841e-01 3.30245271e-02 1.31601803e-02 9.21887998e-03 -5.07308636e-03 7.33318273e-03 1.62984733e-03 3.66152311e-03 1.36248320e-02 1.31804142e-02 1.15784230e-02 2.51135565e-02 -1.26012191e-02 1.50822885e-02 -2.72749215e-02 1.30394340e-01 -3.74632068e-02 1.20489925e-01 -2.70935744e-02 -1.62656337e-01 1.70198172e-01 9.12566856e-03 -8.79652947e-02 1.24736084e-02 1.21094994e-01 1.11161448e-01 -7.65084699e-02 8.40375479e-03 -4.95958157e-05 -1.26103517e-02 1.60447303e-02 1.37317598e-01 5.02654463e-02 1.42164314e-02 -9.69698504e-02 3.47311929e-04 -2.58704014e-02 8.42582155e-03 -1.31075785e-01 2.41407715e-02 3.48896999e-03 1.44628078e-01 1.46292066e-02 5.85854007e-03 1.12702012e-01 1.40579879e-01 -1.01078898e-01 6.89196913e-03 2.04636268e-02 1.39283799e-02 1.39405191e-01 -1.10359021e-01 -1.66591734e-01 -4.26007435e-03 -1.56750038e-01 -1.81200132e-01 -1.23054110e-01 1.63992539e-01 4.17143293e-02 -1.01108209e-03 1.53351724e-02 -7.97556043e-02 5.68514317e-03 -3.39197082e-04 1.02519661e-01 1.74348876e-01 -1.49808064e-01 -8.11813213e-03 1.52014151e-01 3.83301564e-02 1.30783319e-01 -4.59674411e-02 -1.63976494e-02 -1.64228380e-01 -4.14358079e-02 -2.25633965e-03 -2.48690415e-02 -1.40981069e-02 4.50712489e-03 1.39079973e-01 -3.60537283e-02 -6.49998337e-02 8.33451096e-03] [ 0.18473655 -0.1429663 0.04240624 0.14111218 -0.00793779 -0.05987328 0.14505753 0.0354439 0.0108149 -0.00040263 -0.1437585 0.0064137 0.01519912 0.10407827 0.07356051 0.03931114 0.00597945 0.09852216 -0.09040058 -0.09774236 -0.13480179 0.12556164 -0.07931171 -0.11654833 -0.00386737 -0.0052643 0.10143752 0.02156111 -0.11345348 -0.16883822 -0.0531389 0.12753756 0.01115696 0.02282981 0.08318084 0.00505078 0.00731662 0.13115352 -0.02310982 0.13191962 -0.18154085 -0.00686275 -0.0067887 -0.00892381 0.18328045 0.06691983 -0.12771346 0.01668775 0.01037873 -0.01504632 0.00546311 0.00323429 0.00261245 0.01104941 0.01436225 0.01619845 -0.04656971 -0.00179526 0.00777662 -0.01476838 0.14072102 0.12635963 0.06842221 -0.01169914 -0.08325194 0.17471112 0.00941813 -0.12859903 0.00053917 0.1698048 -0.0485326 0.05616303 0.00186054 -0.00338109 -0.00590377 0.0079212 0.12665947 -0.06899008 0.01327996 0.10204828 0.00426525 -0.00403006 0.00708574 -0.16296762 0.12685812 -0.06196724 0.01051945 0.01582338 -0.00217099 -0.0004655 0.18302755 -0.09862831 0.00500259 0.01147801 0.01906308 -0.03029069 -0.08369914 -0.18127228 -0.00044508 -0.12816758 -0.14064531 -0.17045376 0.02061029 -0.07728531 0.00247632 0.01463474 0.0898767 0.00572737 0.00027553 0.11534518 0.19093303 -0.15615228 0.00349714 0.05254863 -0.00295747 0.1074587 0.1217996 -0.015539 -0.1799405 -0.02605321 -0.01319804 0.143812 -0.01563809 -0.00875999 0.17978486 -0.01685845 -0.09986043 0.00709074] Cos Similarity tf.Tensor(0.7037629, shape=(), dtype=float32) (128,) (128,) [-0.0209487 -0.00121201 -0.13649246 0.0473401 -0.01120076 0.0902836 -0.08913366 -0.13922036 -0.00302713 -0.00575969 0.13166405 0.00283918 0.00619144 -0.12101004 -0.05448212 0.16711363 -0.01608866 -0.11055712 0.00397243 0.18603662 -0.00864397 -0.04371411 -0.12183888 -0.01727191 0.00123262 0.01594488 -0.01578562 -0.01374504 0.15517294 0.13533844 -0.03826969 -0.03905738 -0.00260889 -0.03052238 -0.16435885 -0.01866138 -0.00518971 -0.23593505 0.00450692 -0.08399925 0.15900186 0.01618138 -0.01389329 0.02072365 -0.12737694 0.11182046 -0.16739672 -0.01468666 0.01414927 0.0010689 0.01225645 -0.01229054 0.00192032 0.01011123 -0.00975891 0.00102933 0.10697042 0.01465518 0.0075239 -0.02310427 0.10078388 0.16843578 -0.133301 -0.0292205 -0.16983178 -0.08257295 -0.01273204 0.11012994 -0.02910156 -0.20216253 0.12344076 -0.13026552 -0.00098086 0.004333 -0.0104251 0.01621901 -0.08727427 0.15611082 0.00124334 0.15209511 -0.02642836 -0.11602211 -0.04512309 -0.11919782 0.08673271 -0.08601845 -0.02492138 0.02070576 0.00175321 0.00442434 -0.14391974 0.09947116 -0.01424374 0.01001519 -0.01470365 -0.17954545 0.07728174 -0.12220468 0.00799872 -0.06660836 -0.15531182 -0.04325964 0.21703286 0.10319489 -0.01169874 0.00958684 0.09579883 0.0072301 -0.00959346 0.09357043 0.12693118 0.0260995 -0.02934564 0.00044732 0.08167069 0.00749033 0.07938071 0.00232265 -0.07324147 -0.02738416 -0.0072997 -0.02810541 0.02687617 -0.01554705 0.23551008 0.08217949 -0.10025958 -0.00388908] [-0.16522107 0.00052508 -0.11580438 0.19899553 0.0017328 0.01937659 -0.06616849 0.09645097 -0.00032592 -0.01142413 0.11818693 -0.01384329 0.00545955 -0.00689736 -0.04283974 0.1285512 -0.01111016 -0.09285443 -0.07721931 0.17222774 0.02896399 -0.04581603 -0.0382004 -0.0140844 0.00444203 -0.00142385 -0.07249306 -0.03429759 0.21801037 -0.02490661 0.12961474 0.07251213 -0.01171875 -0.0334931 -0.16611928 -0.01552016 -0.00410691 -0.20467436 -0.00832277 -0.06254322 0.0197873 0.01001425 0.00078102 0.00376092 -0.08576645 0.04196323 -0.16678488 -0.01969754 0.00509182 0.00690661 0.00532976 0.00410905 -0.00666138 0.00142516 -0.00736816 0.00757917 0.05047523 -0.00279519 0.00394318 -0.00471706 0.09632351 0.18186386 -0.13837592 -0.02707028 -0.13700356 -0.01749648 -0.01137577 0.09903179 -0.0006742 -0.19780262 0.14808169 -0.12605909 0.00902201 -0.00149529 -0.00497018 -0.00122947 -0.21489759 0.0052186 0.00345988 -0.0252699 -0.02583243 -0.0834993 -0.06343316 -0.10160685 -0.00202603 -0.0701808 -0.20591307 0.00753206 -0.01659509 -0.01540965 -0.1483572 0.1501411 -0.03866552 0.00225619 -0.00929885 -0.15713885 -0.00509531 0.16692677 -0.00043714 -0.06248266 -0.01950571 0.04921326 0.22155856 0.11683615 -0.00710766 -0.01599333 0.13247465 0.01166128 -0.03366601 0.09063816 0.08272687 -0.04111621 -0.02172885 0.03524073 0.14866471 -0.22153917 0.00623046 0.01742342 0.08274029 -0.00505279 -0.00129284 -0.11911587 0.01001359 -0.02885998 0.19536546 0.05350961 -0.07896882 0.00234354] Cos Similarity tf.Tensor(0.7021866, shape=(), dtype=float32) (128,) (128,) [-0.09103975 -0.05781233 0.101529 -0.06963507 0.01311509 0.00550885 0.07508489 0.06879664 -0.01479943 0.00053804 -0.20296638 -0.00414665 0.00228031 0.05737982 0.12944168 -0.09451003 0.02388249 0.16374551 0.1303146 -0.03110317 -0.19892827 -0.13874169 0.03355253 0.09316187 0.04207295 -0.01911922 -0.07219391 0.02384143 0.01536638 -0.09227819 -0.00411816 -0.14672779 -0.01067656 -0.00191342 0.01401319 -0.00792385 0.02557771 0.0388821 -0.03330483 -0.16201875 0.10529046 -0.01936195 -0.00398192 -0.01946614 -0.05053065 -0.08982937 -0.11386756 0.03568684 0.01349134 0.00865087 0.00981848 0.01121892 0.02779255 0.00970529 0.05090357 0.00939351 0.02596463 -0.00131801 0.01868629 0.01000039 0.21931307 -0.17457154 0.1319412 0.03271417 0.10944319 0.15459369 0.00109278 -0.07004734 0.03700984 0.09426984 0.06760337 0.00578133 -0.00212499 0.01471159 0.02060859 0.05520534 0.13327019 -0.01645328 -0.00974633 0.02822047 0.00472232 -0.06287935 0.00975392 -0.13108075 -0.17451645 -0.06152463 0.11426457 0.01463944 -0.00849797 0.15962557 -0.10636094 -0.11490979 0.02908564 0.0045387 0.03243804 0.1459293 -0.00968048 -0.180448 0.01113074 0.20560874 0.217648 0.1032213 0.0178287 0.03566593 0.01103976 -0.00164134 0.0845332 -0.00543476 0.03195579 -0.14530364 0.04064637 -0.1913715 0.02427218 0.01795305 0.0509585 0.21619615 -0.02013648 0.01032708 0.20834301 -0.05709843 0.01111886 0.0618495 0.01835044 -0.0240057 -0.15222923 0.14894406 0.0265248 0.01367226] [ 0.13560839 0.09598302 0.07096235 -0.00219454 -0.00073839 -0.07237047 0.20725569 0.1720119 -0.01239594 0.008341 -0.07759225 0.00178093 -0.00831484 0.03359246 0.13316299 -0.13858996 0.01498794 0.13686396 0.08774965 -0.0442785 0.12313056 -0.11915233 -0.04902587 -0.03521549 0.00645052 0.01577213 0.09097327 -0.00977292 0.17733665 0.08793137 -0.21164647 0.14943133 -0.01248968 0.00121599 -0.15413612 -0.02922313 -0.00937458 0.01275168 -0.00218926 -0.03730101 -0.00890917 -0.01117748 -0.00183114 -0.00797671 0.10255668 0.19475529 0.07373398 0.01900815 0.00603932 0.02653966 0.00131104 0.01556889 0.02489712 0.00704747 0.00773686 0.01947675 -0.06515856 -0.01623966 -0.00166119 -0.00716826 0.0732028 -0.00038708 0.14159493 -0.00349933 -0.10508228 -0.03002495 -0.00983713 0.1434202 0.01499092 0.05212922 0.00329405 0.08517864 0.01910038 0.01936271 0.00869074 0.01527842 0.18055068 -0.0495187 -0.00083424 0.04728179 -0.01703824 -0.02964792 0.00987931 -0.16472164 -0.19449317 0.09113749 0.00718739 0.01049617 -0.0122056 0.07859539 0.1776808 0.13122913 0.00659057 0.01171989 -0.00394685 0.1934573 -0.00039368 -0.12651035 0.00608404 0.14410482 0.02232234 0.14861219 0.05218446 0.19325252 -0.00227018 -0.01066947 0.19374554 0.00071849 0.00680629 -0.2169688 -0.07954413 -0.10410055 -0.0090969 -0.01319437 -0.01741661 -0.0672833 0.09593479 -0.00838564 0.23026173 0.00505258 0.01877072 0.11866997 0.01534727 -0.02384542 -0.1316637 0.05228373 -0.05313382 -0.00801749] Cos Similarity tf.Tensor(0.33952603, shape=(), dtype=float32) (128,) (128,) [-1.81593433e-01 -4.64377888e-02 -6.77932869e-04 -1.64261743e-01 -9.18467122e-04 3.83918248e-02 -5.99553548e-02 9.78774652e-02 -9.64221172e-03 2.75504519e-03 -6.25432804e-02 6.72113895e-03 7.72695523e-03 7.85964355e-02 -9.00831744e-02 -1.02920264e-01 4.15147236e-03 -1.25147909e-01 -1.40989065e-01 9.55190361e-02 6.17890656e-02 -4.74790037e-02 -5.06068356e-02 1.48994094e-02 -1.66837446e-04 -3.01738549e-03 9.34868231e-02 -3.12196580e-03 4.95698340e-02 -9.81618240e-02 1.75681248e-01 1.97291613e-01 -2.17437521e-02 -1.34565250e-03 1.95894733e-01 9.99594107e-03 1.23359719e-02 3.33163068e-02 -1.77103654e-02 1.01910420e-01 8.89669284e-02 8.55490286e-03 5.03768865e-03 -2.51604859e-02 5.75686656e-02 7.10313395e-02 -1.10163532e-01 -2.20742282e-02 5.00634080e-03 1.27968483e-03 1.30205229e-02 3.59103526e-03 -6.90156175e-03 3.90519458e-03 8.81406944e-03 1.88657828e-02 1.53112486e-01 -2.39684992e-03 1.11968508e-02 8.47121049e-03 -1.72393456e-01 3.19611952e-02 1.86088502e-01 7.84916524e-03 3.19201723e-02 1.81782365e-01 -8.55274219e-03 -2.14241445e-02 -1.17125660e-02 1.76183358e-01 -1.23455584e-01 -1.85180798e-01 6.70064194e-03 7.02858111e-03 1.13334144e-02 6.45466568e-03 -7.85275102e-02 8.77628326e-02 6.07709121e-03 -1.95133716e-01 -8.49440042e-03 -2.27538105e-02 2.12534913e-03 1.67780835e-02 1.18258148e-01 1.05529644e-01 -5.41315377e-02 2.95544439e-03 -3.84627632e-03 1.76227644e-01 1.38943359e-01 1.18343167e-01 -1.66438296e-02 1.34332264e-02 1.51920421e-02 1.56273037e-01 -1.50313348e-01 8.44383612e-02 3.07200779e-03 5.14701828e-02 1.38527304e-01 1.68407634e-01 -2.03194782e-01 -1.12968117e-01 -2.16913735e-03 -1.61252003e-02 1.46089733e-01 -9.72855557e-03 -3.83823575e-03 1.20795533e-01 4.03798260e-02 -2.03288525e-01 -4.44552582e-03 2.86883414e-02 -2.38432474e-02 -2.11114094e-01 1.08691901e-02 7.71164009e-03 2.91008055e-02 2.67319777e-03 -3.04469001e-03 -3.39604840e-02 2.77979914e-02 -1.26186050e-02 1.52504891e-01 -2.29815207e-02 -8.65330324e-02 1.11362757e-02] [-2.25228816e-01 1.17835356e-02 -2.36194860e-02 -1.91091761e-01 -5.26825804e-03 5.95537983e-02 -6.62067980e-02 1.14412978e-01 -8.38170014e-03 5.86857313e-05 -1.52003229e-01 1.08291786e-02 9.26839747e-03 9.41440165e-02 -7.60816634e-02 -9.31111276e-02 7.50645529e-03 -3.44415791e-02 -1.09062605e-01 1.19581468e-01 -4.24905568e-02 -1.16774507e-01 -5.49634211e-02 -4.43938076e-02 -1.70864130e-03 -3.82076250e-04 4.37697880e-02 -2.55436753e-03 7.42033198e-02 -2.01748535e-01 8.10913965e-02 2.18348846e-01 -2.01281980e-02 -7.35357963e-03 1.97412148e-01 3.42918374e-03 8.09980650e-03 -3.21526118e-02 -1.93367973e-02 4.23872024e-02 6.71844631e-02 1.09537998e-02 6.16066158e-03 -2.78020333e-02 1.71921268e-01 1.22834772e-01 -8.81309882e-02 -2.77787652e-02 5.56872645e-03 1.22712366e-02 1.77184474e-02 3.82214761e-03 -8.15034192e-03 4.40474506e-03 6.46521943e-03 2.12010778e-02 4.38141124e-03 -1.27876387e-03 1.01591852e-02 8.21358245e-03 4.48793266e-03 5.87746315e-02 7.08291754e-02 -6.74101897e-03 1.83358360e-02 1.21804990e-01 -3.48571897e-03 -1.95887331e-02 -1.86417066e-02 2.23664716e-01 -8.59068558e-02 -1.98597163e-01 3.43631650e-03 4.64430917e-03 9.62750893e-03 8.47435277e-03 -1.55822709e-01 9.61648598e-02 -2.94275954e-03 -1.70083523e-01 -1.27247414e-02 -5.82010150e-02 -2.16772873e-03 6.49626777e-02 -6.80772886e-02 1.28889009e-01 -1.19528428e-01 8.04192293e-03 -6.84925495e-03 1.60067677e-01 -3.25189754e-02 9.33798477e-02 -2.42551398e-02 1.48784025e-02 2.07922719e-02 1.02250457e-01 -1.68701947e-01 2.83497013e-02 2.25968147e-03 4.16362137e-02 1.61374688e-01 9.80256423e-02 -2.12755710e-01 3.66861820e-02 -1.08284978e-02 -2.14710906e-02 1.59002885e-01 -9.52770561e-03 -6.53144671e-03 1.92402571e-01 1.37290927e-02 -2.21734613e-01 -1.08204121e-02 2.59399973e-02 -1.62245296e-02 -2.18864113e-01 5.99084748e-03 -5.04126481e-04 -3.12609971e-03 -2.90904689e-04 7.04105943e-04 -4.19300888e-03 2.91389041e-02 -1.33122373e-02 1.84945911e-01 -2.23838259e-02 -8.07959512e-02 6.77126553e-03] Cos Similarity tf.Tensor(0.8535478, shape=(), dtype=float32) (128,) (128,) [-7.76922051e-03 2.67627910e-02 -3.31039019e-02 2.54881592e-03 -9.31616314e-03 4.23953170e-03 -4.54951078e-02 1.92020878e-01 -1.14975506e-02 -8.69613700e-03 -2.58877456e-01 -3.78570496e-03 -2.28409306e-03 -1.90644175e-01 1.49668187e-01 1.77075610e-01 -1.03276866e-02 9.03367326e-02 1.41250953e-01 -1.24804564e-01 -2.28980169e-01 -1.56003565e-01 4.28675227e-02 8.42805058e-02 2.39346735e-02 -7.77017034e-04 -2.09268972e-01 -1.56340860e-02 2.65659578e-02 -6.28904551e-02 2.13327438e-01 -1.57347634e-01 1.21171549e-02 -1.90727916e-02 6.44579306e-02 -2.01274771e-02 1.31367138e-02 -6.48759007e-02 2.40415405e-03 1.22682214e-01 9.82323363e-02 1.15400758e-02 1.11322373e-03 -4.50857021e-02 8.86679068e-02 1.22482507e-02 -4.59579797e-03 1.47928270e-02 5.84735628e-03 -4.82292846e-03 5.64019755e-03 1.09215770e-02 1.67920478e-02 9.27119423e-03 1.19314727e-03 1.52199436e-02 -2.31809597e-02 1.53314900e-02 -2.40305835e-05 4.96668182e-03 6.11962797e-03 1.32203013e-01 -1.06798373e-02 -1.07041448e-02 -9.14296731e-02 5.70193725e-03 -1.41526302e-02 -3.08450349e-02 -9.67772771e-03 -8.04485306e-02 1.24918453e-01 -1.18522920e-01 5.68196597e-03 7.92185136e-04 -9.28858574e-03 5.78672858e-03 3.46759590e-03 -2.03425232e-02 2.71403557e-03 -1.33558407e-01 -2.57538003e-03 -6.18891884e-03 -1.43185658e-02 -1.50443509e-01 5.95606640e-02 7.18468204e-02 -2.29886413e-01 1.25155495e-02 -3.83321219e-03 8.98029879e-02 -2.45125145e-01 -5.62312678e-02 2.17660679e-03 1.00774840e-02 -1.57535728e-02 6.88492879e-02 -5.92597574e-02 -6.02883436e-02 3.08142230e-03 2.17298329e-01 1.57916412e-01 -7.09043518e-02 -1.68543100e-01 9.57469270e-03 -6.58704527e-03 1.41170453e-02 -1.44817740e-01 1.54002314e-03 -1.23376092e-02 -7.66360313e-02 -1.48943797e-01 2.82009207e-02 4.66684811e-03 -9.98149253e-03 1.04759894e-01 -1.27891511e-01 -2.89551411e-02 7.45869102e-03 9.31742936e-02 9.39804036e-03 1.70426182e-02 1.69805452e-01 2.71005165e-02 1.18207438e-02 -1.30884945e-01 -1.81222637e-03 1.27364576e-01 -4.54829354e-03] [ 6.07032562e-03 5.20110689e-03 -1.15489349e-01 4.55685612e-03 1.33133922e-02 -2.03125700e-02 -1.13584727e-01 1.27606243e-01 8.64317175e-03 4.47809976e-03 -9.82308686e-02 1.06622679e-02 -1.12219388e-02 -1.23912044e-01 4.49617356e-02 2.19145343e-01 1.26551678e-02 8.97819325e-02 2.37757698e-01 2.80832616e-03 -8.22786838e-02 -2.04889491e-01 1.05035743e-02 -7.19440505e-02 5.12428209e-02 1.48179270e-02 -2.14733616e-01 1.65318921e-02 -2.11262796e-02 -6.05470166e-02 1.78794116e-01 -2.17933461e-01 1.34560214e-02 -3.03794313e-02 -6.92500547e-02 -9.08732042e-03 3.51316296e-02 -6.12744614e-02 -4.61017108e-03 6.06217980e-02 4.56878804e-02 2.48124320e-02 -3.05549870e-03 3.59153934e-02 -1.26607478e-01 -1.00853369e-01 4.96896803e-02 1.16728656e-02 2.92236116e-02 -2.17555724e-02 1.54577689e-02 5.19351242e-03 2.11222991e-02 1.17537482e-02 3.18221748e-02 3.45827639e-02 -1.61781572e-02 -1.74023770e-02 1.59786753e-02 2.81289611e-02 1.79484949e-01 7.35417455e-02 8.48413706e-02 2.60230945e-03 -8.63531828e-02 -1.52165785e-01 -5.18663833e-03 -2.54719355e-03 1.46681024e-02 -1.89603731e-01 4.16656137e-02 -3.57488021e-02 1.29717495e-02 2.15547606e-02 1.10097015e-02 2.45647579e-02 1.15037285e-01 1.59258768e-01 -2.28778413e-03 -2.23043352e-01 2.72024833e-02 1.50357848e-02 -1.96071531e-04 -1.78211451e-01 -1.30290508e-01 6.33018762e-02 -2.10254595e-01 2.57006325e-02 1.58614386e-02 -4.93874587e-03 -1.53163046e-01 1.03409931e-01 1.06685441e-02 2.12938059e-02 -4.11541238e-02 -1.31731153e-01 1.17273495e-01 -2.31335863e-01 1.40533177e-02 2.14391932e-01 -1.54525852e-02 -9.58488509e-02 -4.18650173e-02 5.59118353e-02 1.74650569e-02 1.87125169e-02 -1.52428225e-01 6.42306283e-02 1.85662378e-02 -1.84257030e-02 -2.39441614e-03 1.04991309e-01 2.57967561e-02 4.82735597e-03 9.58299935e-02 -1.38221344e-03 9.44237709e-02 2.60735694e-02 1.25797105e-03 4.81004380e-02 4.91028652e-03 1.25193641e-01 4.96145636e-02 2.12524943e-02 -9.12946090e-02 5.63254878e-02 -8.81296990e-04 -1.87182717e-03] Cos Similarity tf.Tensor(0.63567835, shape=(), dtype=float32) (128,) (128,) [ 1.02781273e-01 -1.82418764e-01 -4.01099436e-02 -1.20751411e-01 -1.80351902e-02 -3.16054188e-03 -1.51221201e-01 -1.72074929e-01 -6.64202170e-03 -6.96719531e-03 -1.86095968e-01 -1.40664047e-02 1.88870705e-03 -4.22272310e-02 3.94052342e-02 1.63376331e-04 1.01491064e-02 2.67576147e-02 1.65086746e-01 4.06167191e-03 -8.44777897e-02 -5.03674475e-03 9.51379389e-02 7.78397396e-02 8.95528588e-03 1.84387376e-03 3.44155692e-02 1.14617741e-03 2.73320489e-02 1.77303970e-01 -1.98282778e-01 1.91946715e-01 1.42681831e-02 2.67100055e-03 8.87323469e-02 -3.04685696e-03 -2.97675817e-03 -1.16923414e-01 9.43879131e-03 -1.51365578e-01 -2.21651290e-02 -3.86594911e-03 -4.28410340e-03 1.12355500e-02 1.45136667e-02 3.48781422e-02 -1.93711132e-01 1.20183500e-02 7.47593446e-03 1.49456756e-02 1.26470290e-02 -6.67974236e-04 -3.14806700e-02 9.38543864e-03 -1.56211304e-02 -2.35608686e-03 4.14305255e-02 7.06277206e-04 9.92840435e-03 -1.22376867e-02 3.13620381e-02 -1.33268774e-01 -3.83536182e-02 3.14292405e-03 1.13260247e-01 -1.17819004e-01 -9.43265948e-03 -7.71228671e-02 -2.37286836e-02 -2.00463720e-02 -4.30272892e-03 -1.37912616e-01 -7.04064267e-04 2.93796277e-03 -1.60454810e-02 1.18783051e-02 2.20940202e-01 -3.23700928e-03 -5.26819378e-03 -2.27383766e-02 -4.29873209e-04 -1.98359173e-02 2.55027916e-02 -1.06615741e-02 -1.38647169e-01 1.92209199e-01 1.45883083e-01 4.03456111e-03 -4.59171319e-03 4.36926223e-02 -4.96114641e-02 1.36120975e-01 -8.66479706e-03 8.52739438e-03 4.11060359e-03 1.58178523e-01 7.76801705e-02 -2.52495378e-01 -7.60830892e-03 1.54123574e-01 1.25553951e-01 -7.40512013e-02 1.74811706e-01 -1.46277010e-01 -1.22040883e-02 -4.16000094e-03 1.72878370e-01 1.89808514e-02 -1.61388167e-03 -6.23971373e-02 7.30737895e-02 6.11109510e-02 -1.69606749e-02 -4.23528701e-02 3.67168710e-02 2.14182615e-01 2.14041173e-01 -1.35280611e-02 -1.18468460e-02 -1.02018081e-02 8.71896837e-03 1.77310050e-01 2.13491004e-02 -2.68327612e-02 -9.17446613e-02 6.36701733e-02 -1.56159410e-02 -6.97790738e-03] [-7.06181452e-02 -4.83794361e-02 -7.50531331e-02 -6.33791238e-02 -4.72994475e-03 -3.05783330e-03 -7.34858960e-02 -1.23385586e-01 1.87629630e-04 -9.30828322e-03 -2.26368353e-01 -2.04634834e-02 -4.49374085e-03 7.18654841e-02 4.44047898e-02 6.17929623e-02 -8.69661942e-03 1.03238225e-01 1.83627039e-01 -2.91921385e-02 1.03333361e-01 2.27637142e-02 7.75996372e-02 8.75042528e-02 7.11486861e-03 -4.07932006e-04 -6.07442074e-02 -1.08237602e-02 7.21652135e-02 1.19665951e-01 -1.19914226e-01 2.16009244e-01 -1.05548445e-02 -1.67248230e-02 1.12205178e-01 -1.59133859e-02 5.37339924e-03 3.54605615e-02 -1.98501232e-03 -1.20861523e-01 -2.52204053e-02 -1.35390284e-02 -2.98898597e-03 -2.24128351e-04 3.50865871e-02 9.41271186e-02 5.35352565e-02 -1.18102906e-02 -2.78595113e-03 1.05629768e-02 5.19697880e-03 2.75735790e-03 -3.50477286e-02 2.48092250e-03 -1.01861516e-02 2.38454039e-03 2.05620658e-02 -7.81251863e-03 2.73277448e-03 -1.72111727e-02 2.78207585e-02 -1.15950428e-01 3.14319320e-02 2.28135078e-03 1.93703361e-02 -9.21778977e-02 -1.41729433e-02 -2.28374521e-03 -1.68535616e-02 -1.58537435e-03 1.72934067e-02 -1.01675354e-01 -1.74971507e-03 3.04910215e-03 -9.02299304e-04 1.58835959e-03 2.35681474e-01 -3.10276132e-02 -2.84823892e-03 8.17863643e-02 -1.43396808e-02 1.13602923e-02 1.85265597e-02 -4.10111509e-02 -1.37394652e-01 2.17730075e-01 1.98642895e-01 1.99532486e-03 -1.46978935e-02 6.41926080e-02 5.68590350e-02 1.86382592e-01 -3.06918360e-02 6.65662112e-03 4.48362250e-03 2.04389930e-01 -6.28987094e-03 -2.41884947e-01 -9.40863322e-03 7.52399489e-02 7.83971399e-02 4.53982316e-02 1.91852391e-01 -9.00707692e-02 -2.60492712e-02 -1.07573904e-02 2.22513288e-01 1.34408905e-03 -1.61148533e-02 -5.02808802e-02 6.02811165e-02 2.72049103e-02 -6.02448406e-03 -9.25953314e-02 9.59190074e-03 2.00215161e-01 2.39870638e-01 -7.61314714e-03 -6.61534891e-02 -1.66445989e-02 3.22099193e-03 2.53571630e-01 2.78934487e-03 -3.77080888e-02 -2.29261979e-01 5.99363334e-02 1.43919345e-02 -5.89612918e-03] Cos Similarity tf.Tensor(0.8166923, shape=(), dtype=float32) (128,) (128,) [ 1.30297691e-01 1.08316317e-01 2.47162115e-02 -2.17365399e-01 -1.32863102e-02 -2.82453210e-03 1.55476816e-02 1.03218742e-01 1.17464261e-02 -7.32774613e-03 -1.14728138e-01 -1.13500683e-02 1.71968609e-03 -2.87338421e-02 2.64252257e-03 2.05598384e-01 1.95969874e-03 -4.63382713e-02 -8.35522115e-02 2.77516320e-02 -1.61115557e-01 1.64385080e-01 9.56192538e-02 -1.04199797e-01 -3.73923965e-02 -9.38887533e-04 5.08252867e-02 8.24487675e-03 -4.31804657e-02 -7.74819357e-03 1.52386948e-01 8.24355334e-03 -7.60343112e-03 -1.72183644e-02 -1.11282222e-01 -2.12893123e-03 -1.04143061e-02 -1.30101696e-01 -8.99187010e-03 6.52124956e-02 -4.83646430e-02 -6.22581597e-03 -1.89481454e-03 -1.43379932e-02 1.54120713e-01 -9.29365978e-02 3.73787619e-02 -4.70245024e-03 7.42606912e-03 -1.37584214e-03 7.46141886e-03 2.05322565e-03 -1.48653137e-02 6.39811438e-03 3.41008278e-03 9.20614507e-03 1.94960013e-02 -1.28029042e-03 5.81993582e-03 -3.97809921e-03 1.15092635e-01 2.13289618e-01 1.20989084e-01 8.45023606e-04 2.19010428e-01 1.23428665e-01 4.62271506e-03 8.12868997e-02 -2.84950249e-03 1.97032854e-01 -1.86659023e-02 -2.04153731e-01 -1.51990820e-03 1.77083584e-03 -1.13639096e-02 1.38943205e-02 -8.34567696e-02 1.43487230e-01 4.54530772e-03 -6.29347377e-03 -6.19936734e-03 -1.68733895e-02 8.57018773e-03 1.71563596e-01 -2.55349930e-03 -2.72999723e-02 1.02249727e-01 1.26353772e-02 -3.96599760e-03 -3.52383144e-02 1.47398233e-01 2.00430717e-04 3.32450843e-03 1.24748871e-02 5.87149663e-03 -1.94450974e-01 1.83635265e-01 -1.65245414e-01 -2.62926961e-03 2.05377527e-02 -1.31532714e-01 -1.97142005e-01 1.69029728e-01 -8.30307379e-02 -1.95726212e-02 4.15300997e-03 9.35728699e-02 -4.01373347e-03 -1.03973178e-02 1.26388371e-01 1.97256394e-02 -1.93142608e-01 -9.99378506e-03 -2.06279401e-02 -3.87321524e-02 -5.86951077e-02 1.94657475e-01 -1.99010316e-02 7.38003552e-02 -2.07301565e-02 3.19103012e-03 6.28817976e-02 1.01879966e-02 -8.38282052e-03 -2.14232519e-01 -2.17858851e-02 4.22868356e-02 5.81638096e-03] [-0.01273947 0.08617864 0.05538143 -0.09411093 0.00528026 0.00921773 -0.07134158 0.14047779 0.00703091 0.00276958 0.0677781 -0.00292643 0.00352589 0.16518387 0.05963426 -0.09144128 0.00514022 -0.03396811 -0.14038049 -0.14499603 -0.05926364 0.10909548 0.1794963 -0.16357882 0.01277108 -0.01550701 0.17166568 0.02242476 0.04452243 0.05757921 0.11981419 0.00880444 -0.01173823 0.02319496 -0.11503741 -0.00329868 0.01398116 0.11141276 -0.01170276 0.1710142 -0.17136645 -0.0009339 0.00778176 -0.00470226 0.19099736 -0.17473301 -0.10231926 0.00190139 0.0134607 -0.0091452 0.00423782 0.01104188 0.0236891 0.00868061 0.00958659 0.00516026 -0.0899146 -0.0187983 0.00184818 0.01058158 0.18948036 0.19120122 0.13039295 0.00350044 0.04135514 0.09955118 0.01184048 -0.12197081 0.01668136 0.12201116 -0.18497096 -0.19480996 -0.01159748 0.01609593 0.01457269 0.00418527 0.13538574 0.17804967 0.02304401 -0.12944151 -0.00978328 -0.00390047 0.0062457 0.07571668 0.14488493 -0.08308227 -0.05859088 0.01046928 0.00489639 0.04931483 -0.00669279 0.01736065 0.00375028 0.00135534 0.02432797 -0.18455167 0.00408279 0.07427352 0.0108067 -0.00758097 0.07951396 -0.13969108 0.14310716 -0.17397484 0.00242909 0.0259323 0.11895131 -0.01409523 0.0094783 0.11287875 0.15611973 -0.11018137 0.0124576 0.01168449 -0.05806654 0.03746894 0.07172301 -0.00744743 -0.15567267 0.0231446 -0.01563799 0.04426777 -0.00197753 -0.0128787 -0.19704436 -0.05842368 -0.01412944 0.00487402] Cos Similarity tf.Tensor(0.52066505, shape=(), dtype=float32) (128,) (128,) [ 0.19310884 0.13819098 0.0592086 -0.02346402 -0.00620337 0.00026497 -0.14886634 0.08478934 -0.00597127 0.00324923 -0.18718584 -0.01290959 0.02821289 -0.02619682 0.11122619 0.05387713 0.01075227 0.13320623 0.15534088 -0.14970413 -0.11416456 -0.10194329 0.10273967 0.05268109 0.00321586 -0.00805292 0.11866376 0.01004394 0.04713693 0.06633312 -0.18435809 0.11627241 0.01890249 0.01591305 0.05571144 0.01588072 -0.01285413 0.07620101 0.00314022 0.00606325 0.18607448 -0.00623554 0.00728085 0.00397985 -0.13919568 -0.09062064 -0.14311929 0.01771743 0.01690978 0.01284903 0.0100623 0.00160273 -0.01132875 0.00999066 -0.0066119 0.00884911 -0.02809012 0.00254034 -0.00067773 -0.01219463 -0.09234998 0.01424699 -0.14222427 0.00250884 0.06439266 0.19316487 -0.01348349 -0.04744341 -0.00479441 0.07179909 -0.00768279 -0.00693194 0.00653719 0.01086853 0.00243437 0.02300555 0.03372668 0.00293723 0.00740657 0.15884234 -0.02204406 0.02464413 0.00728391 0.19518702 -0.12987193 0.16443521 0.15587066 0.0090634 0.00270286 0.02608671 -0.02391229 -0.13569818 -0.00077373 0.00805922 0.00930854 0.16589312 -0.04719349 0.09235249 -0.00688614 0.00102223 0.15127558 -0.01316211 0.14135748 0.20925122 0.00145002 -0.00394641 0.2013395 0.00341368 0.00852339 -0.12543532 0.01692835 -0.09957631 0.01185169 -0.05704607 -0.06734098 0.20132734 0.02760745 -0.00096501 -0.2089063 -0.0064654 -0.00960879 0.22151409 0.01925296 -0.0014247 0.15660983 0.03653196 -0.0309154 -0.00736769] [-0.02432237 0.00568453 -0.11882306 0.10168473 0.01345891 -0.00221121 -0.08955542 0.02006272 0.02668186 0.00119392 -0.10770735 0.00057019 0.01247696 0.02876625 -0.01759494 0.0546831 0.02046968 -0.15520728 0.15533039 0.0249349 -0.1898103 -0.2045001 0.05272111 0.03607752 0.00307416 0.02049055 -0.00072966 0.01481203 -0.02334797 -0.06247195 0.10463347 -0.17422877 0.01151147 -0.01014912 0.16530356 0.02403764 0.00739153 -0.07782438 -0.01153869 -0.17156552 0.14191207 0.00660356 0.0132174 0.02340774 -0.014135 -0.19646339 0.11206499 -0.00890498 0.01886979 0.00708309 0.00932407 0.0056211 -0.01477407 0.02460445 -0.01481419 -0.00624734 0.10829605 0.00486104 0.01472465 0.01149889 0.03152144 -0.03631548 0.03842796 0.01949937 0.20480466 -0.1378198 -0.00036179 -0.05557758 0.01442433 0.03655794 -0.04207757 -0.17933406 0.00093908 -0.00189334 -0.01118509 0.03343445 0.02902197 0.18333611 -0.01821291 0.13847601 0.00826512 0.00613497 -0.00538543 0.0783919 0.07886659 0.1512969 0.149414 0.01724425 0.01622687 0.04813123 -0.10412171 -0.18607245 0.01536448 0.02115648 -0.00253492 -0.12395335 -0.16676937 -0.07677997 0.01870457 0.18640256 -0.02800548 0.05885969 0.14158602 0.07667819 0.00816581 -0.01244638 -0.19027644 -0.01039943 0.02121034 -0.09540179 0.18019833 -0.04901518 -0.00151012 -0.14411153 0.08067407 0.17288105 0.13987605 0.01527089 0.06301775 -0.04048911 0.01060558 -0.1914072 0.02864534 0.00472266 0.17478216 0.10038693 -0.02231911 0.00572038] Cos Similarity tf.Tensor(0.16000476, shape=(), dtype=float32) (128,) (128,) [ 1.42824948e-01 1.80298403e-01 1.70288850e-02 3.88119929e-02 1.82086565e-02 -1.63323313e-01 8.85903686e-02 5.75597398e-02 -2.97896145e-03 4.09313617e-03 -1.43958211e-01 -2.90187895e-02 1.44151179e-02 1.32937521e-01 4.37655486e-02 -9.90741625e-02 -2.58665369e-03 -4.67986390e-02 9.16713104e-02 1.21630788e-01 8.50363299e-02 8.47464502e-02 -1.18539400e-01 2.01372225e-02 -4.78863763e-03 6.15577446e-03 8.17669109e-02 -1.12834685e-02 1.49372399e-01 1.81225270e-01 -1.37124941e-01 5.14964908e-02 1.62749272e-02 6.56405231e-03 -1.22656815e-01 -9.05830692e-03 5.66730415e-03 1.69761106e-01 -2.85852933e-03 -2.08358224e-02 1.57692492e-01 1.07580880e-02 1.97516126e-03 2.00595168e-04 -7.97023401e-02 2.19751149e-01 1.49841338e-01 9.92921274e-03 1.81230064e-02 1.18136359e-02 1.34530128e-03 1.07053043e-02 -3.80791314e-02 1.20488852e-02 -6.74447836e-03 1.46588273e-02 8.96650366e-03 -5.67281153e-03 6.03274070e-03 -5.37138153e-03 1.17067322e-01 -1.49290502e-01 1.68638095e-01 2.72605359e-03 5.57413809e-02 -1.21557668e-01 -6.83074724e-03 -1.34868994e-01 5.08275302e-03 -1.20530635e-01 -8.53891745e-02 8.74889735e-03 5.01518697e-03 -8.47519186e-05 8.14706180e-03 1.10417018e-02 1.62138939e-01 -6.29412336e-03 -4.15888196e-03 9.94073451e-02 -1.61761455e-02 -4.89584636e-03 8.13547429e-03 -1.01257309e-01 -4.53314260e-02 1.03241079e-01 1.92537799e-01 1.18442653e-02 -3.39348312e-03 1.03413969e-01 1.04092069e-01 1.32704973e-01 -7.00254133e-03 -2.42077367e-04 3.72520136e-03 -1.81402508e-02 -2.12159172e-01 -1.32987693e-01 -9.44068003e-03 -2.80850399e-02 1.90731749e-01 1.83927327e-01 8.64320770e-02 1.92729071e-01 -3.74503521e-04 -8.23272392e-03 1.36265516e-01 1.22054471e-02 -3.22171021e-03 -1.31965786e-01 4.09719609e-02 9.34140980e-02 1.09165406e-03 -1.54380202e-01 2.43088976e-02 1.01608679e-01 1.01754501e-01 -2.58325133e-02 1.55473337e-01 -5.86533919e-03 -1.77401397e-02 3.43508199e-02 1.50315790e-02 -1.67769976e-02 1.06254041e-01 -2.34791599e-02 2.74956487e-02 -8.21457244e-03] [ 4.67001200e-02 1.76161259e-01 2.01264434e-02 4.26145345e-02 4.39235568e-03 -1.58688024e-01 2.69511603e-02 3.36097069e-02 -2.02867363e-04 9.73179995e-04 -9.01190788e-02 -3.38670537e-02 8.41256510e-03 1.05590910e-01 5.85206300e-02 -2.98440009e-02 -1.46047175e-02 3.62919667e-03 -2.48254091e-03 8.38918164e-02 1.67485908e-01 1.08249851e-01 1.98254790e-02 4.30315956e-02 -5.70245599e-03 3.80590884e-03 3.13431746e-03 -2.87943427e-02 1.60497189e-01 2.02312648e-01 -1.33997440e-01 1.11232854e-01 7.15762144e-03 -3.15222656e-03 -1.19801842e-01 -1.23321554e-02 -3.17901978e-03 1.30595878e-01 -2.40863115e-03 -2.47997995e-02 1.46109447e-01 1.13561396e-02 -2.33285199e-03 1.36804848e-03 -1.59397453e-01 2.13743299e-01 1.48620009e-01 4.90544364e-03 1.29884230e-02 6.13637595e-03 5.12829609e-03 7.19690742e-03 -2.31127888e-02 8.16250313e-03 -6.57460093e-03 1.09925549e-02 -1.15185998e-01 -6.62390655e-03 5.61480178e-03 -9.95722599e-03 7.07967728e-02 -1.56938717e-01 1.86953411e-01 -6.69384259e-04 5.00480309e-02 -1.32657826e-01 -6.89556636e-03 -3.99057427e-03 8.70352436e-04 -1.89632967e-01 -9.13877785e-02 5.72467856e-02 4.21685539e-03 1.57099904e-03 3.17599578e-03 6.61503617e-03 8.47903192e-02 -5.41663868e-03 -1.86450477e-03 1.82169944e-01 -1.97492912e-02 -8.72313045e-03 5.80843305e-03 -1.70926824e-01 -3.64079326e-02 1.18992619e-01 1.05730943e-01 1.12934001e-02 -4.26197425e-03 1.07624739e-01 1.01481423e-01 1.61969110e-01 -1.18437037e-02 -3.86437314e-04 -8.44741240e-04 3.05674113e-02 -2.07617909e-01 -1.29484937e-01 -1.05634164e-02 -4.47574332e-02 1.52610317e-01 1.37747929e-01 1.31083757e-01 1.84560776e-01 -4.37976466e-03 -2.59691454e-03 1.37088344e-01 8.63691978e-03 -1.36325052e-02 -9.82332006e-02 1.69684976e-01 5.34962788e-02 -1.00115687e-03 -5.56185097e-02 2.64077764e-02 1.37463406e-01 1.53732270e-01 -2.33391728e-02 1.64084613e-01 -1.45974634e-02 -9.24046151e-03 1.50765911e-01 1.60243567e-02 -1.79096051e-02 8.51320773e-02 -2.13304404e-02 6.56735525e-02 -1.54669527e-02] Cos Similarity tf.Tensor(0.8958632, shape=(), dtype=float32) (128,) (128,) [-0.14014527 -0.01941267 0.0749424 0.09571525 -0.02978007 0.00037024 0.18049584 0.14458765 0.00232583 0.00973405 -0.10314438 0.01082533 -0.0011333 -0.01679436 0.11067835 -0.15693326 -0.0023717 0.00868799 0.08540488 0.04205002 -0.20985436 -0.16040134 0.13475043 0.06500772 0.00799835 0.01309639 -0.08272742 -0.02406718 0.07115244 -0.05032355 -0.20628493 -0.21255626 -0.02218258 0.0067684 0.10877458 0.01410422 0.00111373 0.13709803 -0.00881414 -0.15041628 0.06027853 -0.00225345 0.00314323 -0.0022468 -0.13724132 0.03887285 0.10190739 -0.00928776 0.00387912 0.01443359 0.0092377 0.00691101 0.00243065 0.00489998 -0.0006414 0.0036097 -0.03968908 -0.0069751 -0.00122564 -0.00453777 0.15069665 -0.03720779 -0.08813924 -0.00464149 0.19677134 -0.17041789 -0.00232065 0.19468778 -0.00646015 0.19910863 0.15125133 0.09606818 0.00517275 0.01614589 -0.0042604 0.01562471 -0.02893631 -0.07075148 -0.00319665 -0.15498783 -0.00642725 -0.00100303 -0.00138557 0.07777643 0.00651738 -0.01973945 -0.0678026 0.00548078 -0.00646737 -0.15272355 -0.01868505 -0.1411454 0.0057723 -0.00087881 -0.00873957 0.01225206 -0.06729674 0.00365515 0.00456848 0.04379819 0.14046651 0.09236263 -0.12047869 -0.13719264 -0.03119191 -0.01821416 0.10953832 0.02742379 -0.00240565 -0.16011898 -0.16464512 -0.03169578 0.0056184 -0.00580089 -0.01356687 -0.08472452 -0.16989775 0.00690851 -0.19472603 -0.00867504 -0.00535512 0.16178773 0.016279 0.00642165 -0.18332942 -0.03848034 -0.03149357 -0.01759124] [-0.13455169 0.16239454 -0.00266092 0.10328085 -0.02697989 0.0749016 0.1625655 0.08141837 0.00482739 -0.00151757 -0.19640766 0.02199942 -0.00519307 -0.06943217 0.07461988 -0.09170914 -0.00367253 -0.1417838 0.11602049 0.04223409 -0.17505361 -0.11705776 -0.11647937 0.01444153 0.01551826 0.00990738 0.02995095 -0.02581715 0.11023255 0.01818718 -0.18651743 -0.14292818 -0.02820726 0.01862978 0.07008234 0.01919113 0.01335589 0.15311009 0.0084096 -0.06344947 0.17692024 0.00171124 0.00683131 0.01422965 -0.18915811 -0.04622475 0.00281754 -0.01647203 0.01010451 0.01697038 0.01574951 0.00509382 0.00636028 0.00784027 0.01210663 0.00762838 0.00101781 -0.01941152 0.00582433 -0.00082497 0.14712483 -0.07667966 -0.10390472 -0.00483377 0.17693517 -0.1289971 -0.00407655 0.17668061 0.0003182 0.19448555 0.07562003 0.16266777 0.00725028 0.01952421 -0.00033826 0.02696261 -0.04645794 -0.05246517 -0.01112173 -0.1547075 0.01407518 0.00209457 -0.00778677 0.00551309 -0.00373404 0.1046106 0.1411047 0.00656513 -0.00857236 -0.16978917 -0.01344097 -0.16700761 0.01110256 0.0037371 -0.00078626 0.03918282 -0.05224109 -0.15961151 -0.00076317 -0.01847578 -0.07279108 -0.07727965 -0.2128669 -0.15900724 -0.03541263 -0.0253459 -0.03812585 0.01847482 0.00142455 -0.14392473 -0.18054737 -0.04181287 0.00708885 0.03475515 -0.00982203 -0.15095522 -0.19212705 0.01107567 -0.1474026 -0.00479495 -0.00164301 -0.0163228 0.0337947 0.01986428 -0.12935983 0.02154046 0.0172187 -0.01676025] Cos Similarity tf.Tensor(0.75129855, shape=(), dtype=float32) (128,) (128,) [-1.46881193e-02 1.81387961e-01 1.49345100e-01 2.07826406e-01 2.65286826e-02 2.89886817e-02 -1.57941997e-01 1.36179909e-01 -1.11529296e-02 7.23294273e-04 -1.24083757e-01 2.50321091e-03 5.60372416e-03 1.38348565e-01 1.48444008e-02 -7.96661377e-02 -5.28321648e-03 2.17297271e-01 1.67126134e-01 8.73684436e-02 -1.66431308e-01 -2.07047999e-01 3.84238660e-02 3.86427790e-02 2.49975361e-02 -4.78180917e-03 5.18914573e-02 5.36896661e-03 1.70444008e-02 -4.47249822e-02 -1.22208022e-01 1.14276253e-01 -1.80694833e-02 1.04334056e-02 -9.46348533e-02 3.52673717e-02 1.15983551e-02 -1.04815476e-01 -2.19916105e-02 2.94390917e-02 3.53954849e-03 1.55456634e-02 -1.79590541e-04 1.25391725e-02 -1.93021774e-01 1.85271412e-01 -2.83595491e-02 1.17203663e-03 1.97686232e-03 -1.66349579e-03 6.82784570e-03 1.64300967e-02 1.00966226e-02 1.24740908e-02 4.21981560e-03 7.76160182e-03 2.72541363e-02 -1.46236392e-02 7.30267027e-03 -5.79711795e-03 4.11132090e-02 -5.55103980e-02 1.76992223e-01 -3.40236188e-03 -2.02351764e-01 -2.36860383e-02 -5.70364995e-03 -6.59468677e-03 1.03487335e-02 1.67664364e-01 8.68598744e-02 1.38494253e-01 5.45408484e-03 2.23568659e-02 1.78487767e-02 -4.80744150e-03 2.26994995e-02 3.89866121e-02 -8.24983325e-03 2.38014702e-02 -9.66641493e-03 -4.08709329e-03 6.25448255e-03 -1.42299488e-01 1.70378253e-01 -1.10717513e-01 7.35983402e-02 7.44306017e-03 1.65596884e-03 -5.64078875e-02 1.87488675e-01 -5.79864159e-02 8.58466607e-03 1.73964761e-02 5.75456349e-03 5.26140854e-02 -2.23291487e-01 4.95818295e-02 6.76262705e-03 9.34343860e-02 -8.87197442e-03 2.32133195e-01 -1.13667533e-01 1.87967226e-01 1.23568177e-02 -1.18229091e-02 -7.34914243e-02 -7.12091150e-03 -1.06734131e-03 -6.20139092e-02 -6.87455991e-04 -3.84846367e-02 1.28550073e-02 -1.67344466e-01 -8.14388096e-02 1.62803873e-01 5.43638580e-02 -5.59702888e-03 -1.67192370e-02 1.29158990e-02 1.79522373e-02 -1.62807047e-01 1.19896019e-02 -4.32606973e-03 -6.80837631e-02 4.43100855e-02 -7.98134059e-02 1.34436460e-02] [ 2.0868568e-01 1.8786891e-01 6.7782730e-02 1.7509924e-01 -6.0664224e-03 3.8430259e-02 -2.0714620e-01 1.1140766e-01 -3.2614646e-03 -1.1022950e-02 -2.0152496e-01 -2.2984536e-02 -6.0478449e-03 -3.3209413e-02 7.0613786e-03 -1.3281380e-01 -2.2195336e-04 6.1352681e-02 -1.1436606e-02 1.5674166e-01 -3.4197196e-02 -2.0271485e-01 -5.5453565e-02 7.6868393e-02 -7.8160064e-03 7.3631224e-03 -1.1008094e-03 1.0175102e-02 -2.5864502e-02 -3.0339457e-02 5.6033537e-02 4.4956125e-02 -5.9667393e-03 4.8838225e-03 -1.0441157e-02 4.9956642e-02 7.7189092e-04 7.0682690e-02 -1.7135372e-02 -1.3104194e-01 1.4413300e-01 -1.5541626e-03 -4.3116626e-03 2.5497288e-02 -2.5224949e-03 1.6036707e-01 1.5664490e-01 -3.8168824e-03 1.0632226e-02 2.4778382e-03 2.7193883e-03 5.4686022e-04 -4.9012974e-03 1.0342862e-02 -6.3283872e-03 1.1993404e-02 -1.5123565e-01 -3.1557472e-03 2.3922287e-03 -7.1159070e-03 8.6068451e-02 -2.7668973e-02 1.9877915e-01 -7.0222518e-03 -7.4055202e-02 8.0068335e-02 -1.0049436e-03 5.6177750e-02 1.0413445e-03 1.8505009e-01 -1.5329961e-01 1.9687980e-01 -2.2177405e-03 8.2583791e-03 4.9746339e-04 4.2351540e-03 6.5258354e-02 8.4659196e-03 2.4768598e-03 1.7871929e-02 -1.7327969e-03 -3.3416741e-03 7.9233842e-03 1.1108869e-01 2.2382423e-01 -9.8991841e-02 4.9336229e-02 8.7563982e-03 1.0454071e-03 -1.3818578e-01 1.0185695e-01 -2.0411183e-01 8.9770956e-03 6.5194289e-03 8.8546472e-03 -1.2500349e-01 -2.1677394e-01 3.0478716e-02 3.8593721e-03 -1.0734014e-02 -4.1230749e-02 1.3470750e-01 -1.3772607e-01 -1.9436067e-01 4.7480087e-03 -1.3173563e-02 -1.5831465e-01 -4.7901710e-03 -1.3143753e-02 1.5101141e-01 -5.8930524e-02 1.0191818e-01 1.4849091e-02 2.5668912e-02 -4.7094304e-02 1.7212512e-01 7.9042621e-02 -2.0239599e-02 4.6200477e-02 -2.7946249e-02 -2.4021331e-03 -2.2849388e-02 1.0909209e-02 8.0380859e-03 -1.9561864e-02 5.9744779e-02 4.9992412e-02 -2.9698065e-03] Cos Similarity tf.Tensor(0.50767773, shape=(), dtype=float32) (128,) (128,) [ 0.12667443 -0.05570793 -0.02091433 0.00616958 -0.0073128 -0.12510683 0.15199275 0.13272196 0.00512719 -0.0103813 -0.07459605 -0.02077963 -0.01539843 0.17801571 -0.02799131 -0.06859541 -0.01674813 0.17813547 0.07738017 -0.05336667 0.02315008 -0.14734693 0.00654997 -0.01433787 -0.01386118 0.00511732 -0.11213322 -0.03349101 0.23531815 0.09312838 0.13105243 0.10231832 -0.01201853 -0.01625128 0.03433856 0.04523668 -0.01844407 -0.13840349 -0.00100308 -0.11247972 -0.11274169 -0.00615628 -0.0012472 -0.00254568 0.21372214 0.04800353 -0.16867611 -0.01207222 -0.00215251 0.0123034 0.00299457 0.00709579 -0.01678069 0.00117387 -0.01708984 0.00914124 -0.03375806 -0.01011345 -0.01432115 -0.00504643 0.02217083 -0.22421156 0.09592304 0.00065537 0.11745784 -0.12534373 -0.01318996 0.00356343 -0.01641116 -0.06034474 0.16275747 -0.15777697 0.00747692 0.00717888 -0.00595122 -0.00601441 -0.18317896 -0.02420884 -0.0003692 -0.09798253 -0.02049699 0.01341046 0.00231285 0.22063349 0.06765854 -0.19243537 0.10895445 0.00561882 -0.02148523 -0.09246036 0.1420025 0.11634281 -0.02353598 0.00638833 0.00251128 0.14129114 0.00360027 0.13884544 -0.0119727 -0.0698479 0.07073487 0.14067121 0.06410515 -0.12451275 -0.01600448 -0.00527826 0.10519826 0.00603622 -0.02366766 -0.21840088 -0.05468571 0.00753585 -0.00616646 -0.14231375 -0.05588405 0.08418569 -0.02335426 -0.00969179 -0.10879945 -0.01630333 0.00415254 -0.10540779 0.00276577 -0.00077316 -0.20548601 0.02038481 -0.01308367 -0.02112796] [ 0.06143532 -0.05424665 0.0192046 -0.00677102 -0.0024602 -0.02343025 0.16347836 0.13459107 0.01029488 -0.00820624 -0.09729812 -0.01993209 -0.01911027 0.08328389 -0.02815373 -0.0661265 -0.00613668 0.12664779 0.08909805 -0.03268727 -0.09198309 -0.14394279 -0.01193233 0.01206461 -0.00092366 0.00807783 -0.12116994 -0.02321485 0.24398857 0.03951557 0.10193118 0.09034976 -0.01759812 -0.02141459 0.06396577 0.04550596 -0.0157329 -0.17600295 -0.00163277 -0.0374007 0.01877142 -0.00702879 -0.00347038 -0.00379711 0.24819048 -0.11735661 0.05927232 -0.01278399 -0.00319322 0.01497756 0.00740909 0.01191545 -0.02147238 0.00155602 -0.01891345 0.01628259 0.01262589 -0.01346233 -0.00808092 -0.00071487 0.02893424 -0.22060819 0.02788426 0.0026315 0.11038451 -0.14401183 -0.01345623 0.04181664 -0.01185148 -0.03435623 0.203585 -0.2325724 0.00920019 0.0090188 -0.00491043 -0.01323931 -0.18145661 -0.01216618 -0.00282533 -0.20215993 -0.01181906 0.00863285 0.0036497 0.22438161 0.03657482 -0.23240776 0.1807471 0.00915081 -0.02011938 -0.13791747 0.11082727 0.06182607 -0.02692016 0.01076156 0.00696766 0.04254894 -0.01058655 0.08378512 -0.00564995 0.00111635 0.10187919 0.15260102 0.04901394 -0.07470016 -0.01458592 -0.01481624 0.07369911 0.00387049 -0.01417999 -0.2315201 -0.04616622 0.09483195 -0.00320797 -0.1401113 -0.03056401 0.03092552 -0.00578683 -0.00039759 -0.07309081 -0.01131591 0.00723397 -0.1142787 0.00897796 0.00924695 -0.23702295 0.04962399 -0.04873703 -0.01866727] Cos Similarity tf.Tensor(0.88244945, shape=(), dtype=float32) (128,) (128,) [-6.52027726e-02 1.24886490e-01 -1.02273606e-01 9.60719660e-02 -3.55109945e-02 -1.62638694e-01 -1.48115307e-02 -2.36058652e-01 -8.64810892e-04 -8.62455554e-03 -3.77450325e-02 -1.01413196e-02 1.01248911e-02 -1.64517730e-01 6.53814748e-02 -1.98121071e-01 -9.10520181e-03 -1.13598935e-01 1.64454624e-01 -2.03393653e-01 1.06501825e-01 9.05325785e-02 1.23861048e-03 1.66885722e-02 1.16743352e-02 1.45584496e-03 -1.03197806e-01 -2.18120143e-02 -1.47867844e-01 1.80176094e-01 1.49434268e-01 5.86410388e-02 -1.33860402e-03 -1.47574591e-02 -1.21086240e-01 5.21263387e-03 -3.29590193e-03 -1.78987592e-01 1.12663601e-02 -1.13671295e-01 2.47439649e-02 5.83775900e-03 -7.37054646e-03 -8.88563506e-03 -2.16982607e-02 -5.79124177e-03 1.71886995e-01 2.22304603e-03 1.23733506e-02 -7.89147615e-03 2.27497751e-03 7.13501358e-03 -2.27415115e-02 2.72092037e-03 -2.49503683e-02 -2.25775247e-03 -8.86221603e-02 5.60091063e-03 4.93992912e-03 3.21552530e-03 5.26185986e-03 -1.61142528e-01 -8.32285881e-02 -7.83393998e-03 1.80160299e-01 -5.50206751e-02 -2.99412403e-02 -4.64939000e-03 -3.56257446e-02 -1.72533646e-01 -3.84851731e-02 9.37898532e-02 8.01039394e-03 2.24932097e-04 -1.73271764e-02 5.02821989e-03 7.30929226e-02 -1.52675956e-01 -1.23805064e-03 -1.78970635e-01 -1.72288215e-03 7.14736506e-02 3.34731187e-03 -1.10512227e-01 1.54709682e-01 2.63929609e-02 -1.20938480e-01 2.04057735e-03 -1.23079156e-03 1.22458503e-01 -6.01069070e-04 1.80169106e-01 -7.02328095e-03 4.80868807e-03 -1.63813483e-03 1.27612516e-01 -1.71185896e-01 -1.35673791e-01 -2.25245487e-02 -7.15331212e-02 1.41036198e-01 1.92103609e-01 3.86933908e-02 1.01478025e-01 9.62180272e-03 -1.32164909e-02 -1.16558075e-01 1.87856480e-02 -1.46089653e-02 -2.17107981e-02 5.84821925e-02 1.57945335e-01 -1.04028601e-02 -6.23464631e-03 4.33811657e-02 -1.44346207e-01 -2.21877638e-02 -3.39304726e-03 -6.15622960e-02 2.63119093e-03 -2.36182223e-05 2.98419390e-02 1.27406651e-02 4.80461353e-03 -1.42540842e-01 1.93184298e-02 7.00276420e-02 -2.30802335e-02] [-0.01827906 0.13169874 -0.1374236 0.06823519 -0.02453064 -0.1562564 0.08331311 -0.18395 0.00714123 -0.01141818 0.07437876 -0.01726247 -0.00767627 -0.13964985 0.02432184 -0.16513999 -0.00748414 0.07421888 0.09927893 -0.20493644 0.01678096 0.06300049 0.0219867 0.06473528 -0.00187775 0.00476342 -0.10807041 -0.00182793 -0.15723875 0.07349267 0.02201988 0.07443257 0.00188971 -0.02362924 -0.1296702 -0.01643889 -0.01390249 -0.05411771 0.00102538 -0.11111426 -0.19599156 0.00810896 -0.00117393 -0.00453887 0.04629435 0.09910654 0.15200521 0.00529301 0.00902316 0.00692641 0.00540268 -0.00216747 -0.02322261 0.00674507 -0.02069605 -0.00601559 0.07710715 0.00295888 0.00640958 0.00394875 -0.0398883 -0.13983434 -0.12220921 -0.00442144 0.18659045 -0.02747312 -0.01169876 0.15721142 -0.02788427 -0.17554012 -0.17230766 0.18701246 0.00398216 0.00451496 -0.00866314 0.00705016 -0.11067361 -0.10153902 -0.00221629 -0.17659657 -0.00142962 -0.0086887 0.02645585 -0.184728 0.16225302 0.00058433 0.04889317 0.00391512 -0.0097852 0.10233264 0.1352962 -0.05716543 0.00381874 0.00189736 0.00322774 0.16045892 -0.00343727 0.05351286 -0.01468302 -0.10820603 -0.00148423 0.18195033 0.18100409 -0.02272504 0.00397608 0.00086946 -0.10265096 0.01657411 -0.01131195 0.18116793 0.19096228 0.17722683 -0.00863931 -0.00130544 0.09618446 -0.10871074 -0.01085939 -0.00352918 0.03537778 -0.00154652 -0.00309025 -0.09238381 0.01591608 0.01123493 -0.13515739 0.015324 -0.00736861 -0.01774678] Cos Similarity tf.Tensor(0.67466474, shape=(), dtype=float32) (128,) (128,) [ 1.70709372e-01 -1.87300488e-01 1.27597516e-02 -8.12114030e-02 -1.44563685e-03 5.68380952e-03 1.31339133e-01 1.01025581e-01 -4.62214323e-03 -1.01822596e-02 -1.41220137e-01 -1.80913992e-02 -2.83127464e-02 -4.24241237e-02 9.53827426e-02 -1.23446718e-01 3.40504688e-03 8.36095512e-02 -3.95000093e-02 -7.82128051e-02 1.01038039e-01 1.18215663e-04 -8.61000121e-02 1.47999808e-01 -1.80087984e-02 5.00032853e-04 1.22706808e-01 9.32156760e-03 3.60442847e-02 1.23982295e-01 -1.93018705e-01 -1.03068158e-01 5.46773430e-03 -1.82028282e-02 8.07369724e-02 1.73448271e-03 4.22683684e-03 8.19264948e-02 -1.32180732e-02 -1.06049739e-02 -9.41763371e-02 4.75656101e-03 -4.27535875e-03 -8.63090903e-03 -1.33696184e-01 1.40045702e-01 4.98943590e-03 6.07546885e-04 4.39052284e-03 1.44972028e-02 1.62028149e-03 -1.09177854e-04 -3.12257488e-03 5.26067615e-03 5.78693720e-03 6.56540878e-03 6.77973107e-02 3.32641974e-03 1.20804377e-03 2.12569926e-02 -1.85859665e-01 1.72055408e-01 1.10271804e-01 5.71808370e-04 1.06401898e-01 -9.71644074e-02 7.85195734e-04 3.12289968e-02 3.00060329e-03 5.94471730e-02 -1.04317956e-01 1.89634502e-01 5.15805511e-03 1.69625059e-02 -5.62913157e-03 1.93765592e-02 4.40107323e-02 -1.21321552e-01 -3.38617829e-03 -1.54218182e-01 1.88351143e-03 -2.95805763e-02 1.06311068e-02 2.00057402e-01 -1.61913991e-01 6.05886765e-02 1.75831646e-01 6.65914686e-03 -1.86642422e-03 -7.06271678e-02 -1.34825259e-01 -1.80148602e-01 5.99209266e-03 1.32919792e-02 -1.30132753e-02 -1.83034450e-01 4.03076597e-02 1.46689147e-01 -7.98196904e-03 -8.23785886e-02 -1.20436605e-02 -1.95894882e-01 1.72144800e-01 7.61086196e-02 -2.99704773e-03 -1.09827779e-02 1.90976247e-01 -4.60700272e-03 -3.58365895e-03 6.95620552e-02 6.19469434e-02 2.09755853e-01 -1.48673812e-02 1.94539484e-02 1.82739887e-02 -1.43901110e-01 -8.53154585e-02 -6.57551130e-03 1.58787847e-01 -3.17856483e-02 -7.12012686e-03 2.45903470e-02 2.94475048e-03 -1.41754337e-02 -1.50279135e-01 2.02126615e-02 -2.98559330e-02 -3.10312188e-03] [ 1.35638863e-02 -2.08307847e-01 -2.06069928e-02 -1.19839966e-01 -4.31009941e-03 -4.93075326e-02 1.95294157e-01 4.11709510e-02 1.38139855e-02 1.42501062e-03 -1.90470949e-01 -1.69446040e-02 -1.10634128e-02 -1.22489758e-01 8.82654861e-02 -2.44763251e-02 -4.79761697e-03 2.45009578e-04 4.98598889e-02 1.06054563e-02 1.09741040e-01 5.66591360e-02 -1.31564647e-01 1.36075756e-02 6.46598497e-03 -6.52151766e-06 1.29564062e-01 2.92758923e-04 1.64405882e-01 1.70407861e-01 1.46123767e-01 -1.42342538e-01 4.37544798e-03 1.34484109e-03 6.25867918e-02 -1.71193294e-02 1.08414935e-02 1.11350372e-01 -1.49123017e-02 1.47881910e-01 -2.21696515e-02 -4.86806175e-03 -6.65785093e-03 4.45308862e-03 -6.60331920e-02 1.85313061e-01 1.20746687e-01 7.43305637e-03 8.71666241e-03 2.77271532e-02 2.10898244e-04 7.02828774e-03 -2.11736909e-03 4.23916383e-03 4.43561375e-03 -2.18683295e-03 1.88726798e-01 -4.35342127e-03 9.74609517e-03 1.10940682e-03 1.09226570e-01 1.93488941e-01 -8.10032412e-02 6.02134736e-03 -2.28308532e-02 8.01513121e-02 -1.93232775e-03 8.88196677e-02 5.66232367e-04 3.68465371e-02 3.30955051e-02 1.76793709e-01 -5.75503043e-04 1.05232289e-02 -3.43391462e-03 1.16386544e-02 1.38589274e-02 -1.45941656e-02 -5.25419367e-03 -1.84955835e-01 -5.87559910e-03 -7.06247240e-03 8.34911782e-03 -2.82530617e-02 -1.06502339e-01 1.03978291e-01 1.67167664e-01 8.84728786e-03 -5.00511378e-03 -1.81432649e-01 3.63601930e-02 -2.17788652e-01 -1.90019365e-02 9.50695761e-03 1.02548031e-02 -1.56332821e-01 2.24762764e-02 1.29929334e-01 -7.62329844e-04 3.46787535e-02 -4.81116818e-03 -1.93242297e-01 2.05120832e-01 -1.11268602e-01 -2.15420797e-02 2.89061796e-02 -1.40906081e-01 -2.05186531e-02 4.47756331e-03 -1.43258765e-01 1.00870229e-01 1.97716877e-01 -1.65378656e-02 1.09363990e-02 -2.38930508e-02 -8.65516365e-02 1.83224715e-02 -2.85121403e-03 1.34660080e-01 -1.04383836e-02 -5.91323152e-03 1.20487593e-01 2.91478098e-03 -1.36883669e-02 -1.18618280e-01 -3.36185545e-02 -6.11512884e-02 -2.67621735e-03] Cos Similarity tf.Tensor(0.56979686, shape=(), dtype=float32) (128,) (128,) [ 3.71080963e-03 1.46571428e-01 1.20063625e-01 -1.63591266e-01 9.19267628e-03 8.89657158e-03 -1.69452727e-01 3.28784846e-02 6.31318707e-03 9.71678924e-03 -2.19597712e-01 2.11064909e-02 1.40866796e-02 2.33261641e-02 -8.47638175e-02 -7.29885772e-02 1.51408873e-02 -9.03689563e-02 1.14952333e-01 -2.22308170e-02 1.61086991e-01 -6.39137328e-02 -2.83561032e-02 5.26436903e-02 3.30199045e-03 4.13668156e-03 3.96777056e-02 1.67580470e-02 -1.50160164e-01 3.36589664e-02 9.51869860e-02 -2.17349529e-01 -4.29635793e-02 3.38434242e-02 1.78003967e-01 1.15683991e-02 4.05704156e-02 6.60575181e-02 -2.62136082e-03 1.98031530e-01 7.12906867e-02 -1.52326492e-03 6.10553706e-03 2.15342827e-02 6.99309483e-02 -1.15980189e-02 -6.41153827e-02 2.09024688e-03 3.57487053e-02 1.45359030e-02 -5.29651763e-03 7.16996565e-03 3.46476398e-02 1.82360411e-02 3.74186449e-02 3.17648388e-02 4.10047211e-02 -8.33618082e-03 2.33110338e-02 1.81759875e-02 8.61577615e-02 2.20498160e-01 1.02467589e-01 3.63806263e-02 -2.63098540e-04 1.01650357e-01 1.26007060e-02 -1.04260132e-01 1.46757392e-02 4.41603884e-02 -2.54306626e-02 -2.34197751e-01 -2.31548445e-03 -1.17365308e-02 2.33756425e-03 1.19715752e-02 1.76779270e-01 6.03096886e-03 4.20532981e-03 -2.11213559e-01 2.02155876e-04 -1.09563634e-01 9.55034327e-03 1.29595682e-01 -1.49785817e-01 4.11574505e-02 -6.66089207e-02 1.33577380e-02 2.09725760e-02 2.16731265e-01 3.68647687e-02 -1.81543633e-01 1.30088823e-02 2.04476584e-02 -1.07848868e-02 1.72694042e-01 2.03239292e-01 4.89965081e-02 -2.03464599e-03 -6.69734105e-02 -2.49045063e-02 -1.24559313e-01 -8.70632082e-02 1.66050211e-01 1.48516409e-02 1.61045202e-04 -7.89749473e-02 2.94086337e-02 4.55598868e-02 9.40103531e-02 1.00761533e-01 3.06280814e-02 3.07441019e-02 -1.22530907e-01 -5.83439693e-02 9.86931026e-02 1.52175188e-01 1.65424484e-03 -1.26019999e-01 1.57674197e-02 -5.70656406e-03 -7.45237023e-02 4.44281287e-02 -2.48873252e-02 -4.60980944e-02 6.46384582e-02 -1.21720992e-02 1.35915459e-03] [-0.01615535 0.11611018 0.07077817 -0.2007606 0.01114905 0.0202623 0.19177127 0.04900322 0.04183495 0.01485212 -0.0279273 0.0502337 0.0359082 0.03021149 -0.06597584 0.17862965 0.01913432 0.04509327 0.15208769 0.01620188 -0.04888322 -0.21756826 -0.12920915 -0.09887622 0.05543344 0.01035276 0.10562316 0.01853605 0.0083877 -0.19368716 0.07944245 0.15464711 0.04687466 0.03035529 0.04477004 -0.02474421 0.03917817 -0.02899865 -0.05213903 0.08890322 0.16363746 0.01114334 0.01604811 -0.0057628 -0.01304703 0.13277078 -0.06928425 0.04424447 0.04453075 0.03750643 0.02314651 0.00647046 0.04561184 0.02984829 0.05155344 0.03587764 0.06774818 -0.0212429 0.03618095 0.00332877 -0.03260866 -0.02075726 0.0892086 0.02118147 0.17195061 0.06542907 0.03193242 0.16453946 0.05712155 0.13749114 0.09630494 -0.17919967 0.02178812 -0.00953844 -0.00224532 0.07520931 0.01346715 0.03354893 -0.00415564 0.13974425 -0.00070828 0.00227862 -0.00760061 -0.13406788 -0.06613602 0.10230719 0.09991296 0.04242735 0.01568655 0.18821505 -0.15766291 -0.22931434 0.02153477 0.0360402 -0.01774264 -0.04051562 -0.05639181 -0.15507002 0.01503524 0.05894688 0.13873564 -0.19829567 -0.01884478 0.05739791 0.03158417 0.04533945 -0.15902105 0.03128364 0.05697608 -0.05094167 -0.07811138 -0.16395442 0.00720546 0.03553155 -0.03974309 -0.08765168 0.02593948 -0.02827587 0.16316006 -0.04356351 0.00753619 0.0298116 0.03006576 -0.0060272 0.1523129 0.18417063 0.02021485 0.00677093] Cos Similarity tf.Tensor(0.12531954, shape=(), dtype=float32) (128,) (128,) [-0.09629405 0.12726593 0.05881261 0.00813445 0.0069946 -0.01494875 -0.01842807 0.06933114 0.01088305 -0.00076363 -0.08695768 -0.01034247 0.01766291 0.09322833 -0.08665478 0.18619853 0.0181288 -0.00097559 -0.06456904 -0.00249868 -0.14817552 -0.12207373 0.13301228 0.03344372 0.02664426 -0.01460469 -0.15694577 -0.01000177 0.06860002 0.04009626 -0.04020213 0.13915862 -0.02805331 0.00573951 -0.11208545 -0.01612969 0.01461594 0.00994219 -0.04160012 0.13679144 0.06736104 0.0225955 0.00489036 -0.00968654 -0.00150424 -0.17285062 0.12435721 0.0160442 0.01836423 0.00058923 0.01023575 0.00364343 0.02921053 0.02692865 0.03728084 0.01842859 0.21135923 -0.01493707 0.03042097 0.01457775 0.07639862 -0.06741539 -0.08973511 0.02987336 0.08094213 -0.07988548 -0.00065261 0.04096475 0.01821195 -0.02693879 0.15138465 0.11933088 -0.00329958 0.02451027 -0.01176218 0.03514527 0.20366888 0.00032236 0.0049708 -0.12459356 -0.01080684 -0.00476081 0.01868783 0.13095531 0.0294597 -0.16449651 0.10602044 0.03217252 0.01236883 -0.20449969 0.14204262 -0.14179243 0.0023424 0.04149554 0.02652801 0.19913946 0.0973971 -0.01259279 -0.00491236 0.06094547 0.20035116 0.12388343 0.21461923 0.18609357 -0.00625347 0.06078283 0.14578709 0.0122363 0.03884375 0.09991402 -0.18709299 -0.12863648 0.01837541 -0.1033423 -0.00590305 0.09864952 0.19851135 -0.00685085 -0.12902017 0.03376358 0.01564767 0.06862389 0.03802064 -0.01484505 -0.1258811 -0.03098767 -0.07736228 -0.00146985] [-3.62653844e-03 -7.22244894e-03 -7.19740167e-02 1.72702283e-01 -2.08325442e-02 1.01019621e-01 1.10000446e-01 1.36369571e-01 4.85062692e-03 -6.90243393e-03 1.40308678e-01 -7.97096454e-03 5.78135112e-03 1.19465232e-01 4.87091579e-02 -1.46526366e-01 -1.08607244e-02 7.48022348e-02 1.00395344e-01 2.41837557e-02 -1.73526406e-01 1.71722293e-01 1.51620954e-01 -1.28415391e-01 -2.18535662e-02 -4.80263174e-04 2.01513506e-02 -1.91898830e-02 2.11953074e-01 -1.05991215e-01 1.44402802e-01 -1.98787406e-01 -1.43344281e-03 -1.04090730e-02 -1.69233307e-02 -1.39938314e-02 1.11789792e-03 -7.22117275e-02 -2.85649160e-03 -1.28388047e-01 -3.49719673e-02 1.57773937e-03 -3.95952258e-03 -1.17718372e-02 -1.63620085e-01 1.02799185e-01 -4.97033708e-02 9.24351392e-04 4.50546108e-03 5.94342453e-03 1.98119297e-03 2.62247119e-03 -3.83911957e-03 5.30017260e-03 6.84540160e-03 2.26531969e-03 1.13643058e-01 -2.27605575e-03 -1.87808997e-03 -2.07523014e-02 3.36059965e-02 1.48419127e-01 -1.44230202e-01 -5.31568332e-03 1.16045929e-01 1.46481335e-01 -6.26191869e-03 1.54030859e-01 -7.21882330e-03 1.04710840e-01 5.01533300e-02 1.73438981e-01 -1.80826010e-03 1.21481195e-02 -8.05239566e-03 1.36001362e-03 1.92495570e-01 1.13099001e-01 7.54551450e-03 1.95880517e-01 -2.25952268e-02 9.32259136e-04 -2.76797675e-02 -2.08105501e-02 1.56953968e-02 1.79560393e-01 6.10689595e-02 7.30733341e-03 1.52511511e-03 9.69621092e-02 7.16681704e-02 1.93543419e-01 3.79375461e-03 -4.33504721e-03 -7.07780058e-03 6.83807954e-02 -3.68075930e-02 1.47775427e-01 1.98733527e-03 -3.07353921e-02 6.16564304e-02 9.55466479e-02 9.19072554e-02 2.09210310e-02 -3.89746064e-03 -2.78986455e-03 -1.14527985e-01 -5.60932420e-03 -1.90694090e-02 1.83396533e-01 -9.98879969e-02 -2.86296420e-02 -3.52062983e-03 -1.25512391e-01 -6.56940565e-02 1.69110015e-01 4.54245210e-02 -9.25903488e-03 -1.19023360e-01 -4.47779335e-03 -5.15821250e-03 -1.45664364e-01 -2.21306155e-03 -3.49590145e-02 1.80284441e-01 1.48131037e-02 -4.16077934e-02 -2.35077787e-05] Cos Similarity tf.Tensor(0.028349683, shape=(), dtype=float32) (128,) (128,) [ 0.11060094 -0.06507436 -0.00390733 -0.04107446 -0.01502379 0.00178294 0.07035938 0.06036057 0.00061329 -0.00363035 -0.15724139 -0.02144044 -0.01015691 0.19338042 0.01746326 -0.09953936 -0.02281191 0.13349104 -0.01947547 -0.00895774 0.11621211 0.03061755 0.0068579 0.05527799 -0.00966232 -0.00204329 0.194916 -0.01027197 0.03764136 0.13326128 -0.12015033 0.22951426 0.00536651 -0.00487732 0.14672363 -0.0128788 -0.0187572 -0.02038661 0.00227162 -0.0347785 0.00394568 -0.00300966 -0.00246162 -0.00535891 0.14946476 0.20309344 -0.00443615 0.00820901 0.0008617 0.01041389 -0.00176705 0.00377692 -0.01076341 -0.00092941 -0.00518779 0.00383722 -0.1579452 -0.00118615 0.00400589 -0.01729491 -0.12659903 0.16223845 0.16883679 0.00177386 -0.12591511 0.06314863 -0.01195133 0.15842637 -0.0101567 -0.08048774 0.05035738 0.1078686 -0.00278883 0.00299021 0.00182759 0.00478036 0.1765656 0.06929589 0.00172335 -0.11894978 -0.02513717 -0.00294033 0.00380937 0.07898907 -0.04468791 0.2725624 0.09165151 0.00308591 -0.00455285 0.11752277 0.04232471 0.07217699 -0.00238811 0.00458173 0.00304814 0.19553697 -0.06525052 -0.11360906 -0.01161603 0.10034467 0.01672619 0.17377387 0.12949562 0.18787426 -0.0074401 0.00333472 0.1978022 0.01019473 -0.01314928 -0.08787509 -0.04113689 -0.06084645 0.00568341 0.0099488 0.01065136 0.24214055 0.08193171 -0.01765486 0.03856402 -0.01733569 0.00076387 0.17005165 0.00456198 -0.03532056 -0.16384129 0.02525918 0.02869233 -0.004336 ] [-0.14496888 0.07980029 -0.06253096 -0.02008786 -0.00839017 -0.01010622 -0.06298672 0.04591334 -0.00508329 -0.00837641 -0.20025861 -0.01680226 -0.00357952 0.19571999 0.06978922 -0.03902616 -0.01395572 0.20588085 0.14728528 -0.19857939 0.059759 -0.03863378 -0.05924005 0.08722869 0.00083883 -0.01044657 0.0784643 -0.01156927 -0.11669931 0.17161153 -0.21793765 0.07549834 -0.00330569 0.00306428 0.04597998 0.00296728 -0.00308397 -0.04280472 -0.00035354 -0.12474137 0.00870748 -0.00541764 -0.00942053 0.00301007 -0.10042441 0.09596784 -0.15452126 0.0090548 0.0028902 0.01573324 0.00517344 0.01360444 -0.00119503 0.00438503 -0.00840162 0.00593667 -0.07164426 -0.00779478 -0.00417757 -0.00801837 -0.01836791 0.04285381 -0.00698667 -0.00118944 -0.13099569 0.01272759 -0.02099211 -0.1599581 -0.00870853 -0.06617084 -0.04011406 0.04970802 -0.00836109 0.0004068 0.00212339 0.00673997 -0.07648367 0.05290528 -0.00159254 -0.07392767 -0.01906539 -0.0056384 0.00161602 0.12326641 -0.15895179 0.16662602 0.12707861 0.00450271 -0.01438651 0.10638002 0.04200908 0.19686106 -0.01103318 -0.00161479 0.01017389 0.11990194 -0.05302265 -0.173297 -0.01356517 0.07050598 0.02052816 0.04995862 0.18045126 0.14122891 -0.01709746 -0.00564569 0.20330879 0.00780345 -0.01394417 -0.14363222 -0.00588896 -0.1711376 0.00790771 -0.00819001 -0.01171592 0.17513746 0.1615912 0.00057021 -0.17639719 0.00024711 -0.00169545 0.2284406 0.00164005 -0.03226237 -0.15649201 0.03439831 -0.11493868 -0.00860162] Cos Similarity tf.Tensor(0.5960531, shape=(), dtype=float32) (128,) (128,) [ 1.4116414e-01 1.5923306e-01 9.6818477e-02 5.0410733e-02 -3.1734470e-02 -3.1539198e-02 2.0126244e-01 2.2207920e-01 -7.3299222e-03 -2.2587313e-03 1.7121029e-01 1.0048235e-02 1.3910627e-02 5.1759738e-02 -1.4280053e-02 -4.9771626e-02 -1.5531172e-02 -4.9692295e-02 -1.3287033e-01 -5.3569589e-02 4.4543087e-02 3.5632093e-02 -1.0897453e-01 1.2029840e-01 -4.5132083e-03 4.0818392e-03 2.3958401e-01 1.1088336e-02 -9.6184015e-03 -1.0444896e-01 1.5175045e-01 -1.8225512e-01 9.3409382e-03 1.1727816e-03 -2.8624488e-02 1.4779329e-02 -4.8389784e-03 -1.8315675e-02 1.4702982e-03 1.4002188e-01 -1.3829459e-01 3.8454349e-03 -5.4394472e-03 6.1321645e-03 2.3824418e-02 -5.7910874e-02 5.4383390e-02 9.6016414e-03 9.0032555e-03 1.7732009e-02 9.2768008e-03 -2.3061994e-03 -4.1638841e-03 3.3256359e-04 -2.5401700e-03 1.0653027e-02 -1.7369463e-01 7.8659514e-03 -5.6963629e-04 -9.8644132e-03 -4.7472376e-02 1.3377686e-02 4.2505704e-02 -8.8266386e-03 3.9002381e-02 -9.7872317e-02 3.2079238e-03 5.6842100e-03 -2.1160519e-02 1.8041886e-01 -1.5397310e-01 -2.0200279e-01 -1.3902151e-03 -7.6870029e-03 -1.5783176e-02 2.1320337e-02 1.7086416e-01 2.0488401e-01 5.8790212e-03 1.4698669e-01 -1.1748160e-02 2.5334498e-03 -2.2000329e-05 -1.3836513e-01 5.2073739e-02 1.5111630e-01 -4.7633365e-02 1.1378979e-02 7.6575909e-04 -1.2886573e-01 1.0732582e-02 -6.0960498e-02 1.9655579e-03 4.3996586e-03 4.6038846e-03 -1.6685331e-02 -1.8663450e-01 2.9918648e-02 9.6418819e-04 2.3272690e-01 -1.1373052e-01 1.4004117e-01 7.8896478e-02 2.2319196e-01 -5.7205004e-03 1.8308029e-02 -1.9058107e-01 1.1838755e-02 -7.1208831e-03 1.6566141e-02 3.8870573e-02 9.9476226e-02 7.9515012e-04 -1.6196464e-01 -6.9715758e-03 8.3201334e-02 -1.8721959e-02 -1.0563494e-02 -4.5526389e-02 -2.5460424e-02 -1.2850772e-03 3.9996434e-02 6.4630806e-03 -4.3522483e-03 1.2635717e-01 6.1891668e-02 2.0309120e-02 -1.5486957e-02] [-1.63232163e-01 1.28392011e-01 -1.62728019e-02 -1.74997121e-01 -1.02261193e-02 -1.25045106e-01 -9.99983847e-02 1.74378455e-01 1.49246643e-03 -2.23219721e-03 1.68306828e-01 6.09952677e-03 -1.41938282e-02 3.22966725e-02 4.00170713e-04 5.10956906e-03 -2.76249871e-02 -3.29756290e-02 1.78788275e-01 -1.37571782e-01 -1.01632409e-01 1.30158141e-01 -1.11799531e-01 -2.36966778e-02 -1.43005755e-02 5.08576445e-03 6.89584836e-02 6.83801575e-03 -2.52885576e-02 8.47930834e-02 6.29997328e-02 -7.57634863e-02 -1.72355631e-03 -4.72628837e-03 1.86545998e-01 -1.06035220e-02 1.21210283e-02 9.36485752e-02 -4.56782011e-03 6.78366274e-02 1.48685738e-01 -3.46110621e-03 6.10733230e-04 5.94477123e-03 1.83002070e-01 2.74374448e-02 1.90740630e-01 1.98424631e-03 -5.06906072e-03 1.23105673e-02 -3.14829638e-04 5.29509969e-04 -9.80859157e-03 3.22258123e-03 3.69221414e-03 1.10080084e-02 -5.94820492e-02 -2.30577402e-03 -4.97011049e-03 -5.64600807e-03 3.97320725e-02 1.67591851e-02 -1.93013981e-01 -3.45008494e-03 -1.91681176e-01 7.80285522e-02 -5.54296654e-03 -9.47735235e-02 -1.51527505e-02 1.87285304e-01 1.14479318e-01 1.61006987e-01 8.27421027e-04 1.61255747e-02 -1.45194284e-03 -1.48362825e-02 2.99136769e-02 -4.27938141e-02 2.69058310e-05 -1.03934914e-01 -1.38788363e-02 2.61675250e-02 -1.09870527e-02 -2.65161358e-02 5.03184013e-02 9.73581225e-02 -6.99364170e-02 1.72364176e-03 -2.28983779e-02 1.19189680e-01 -8.87936950e-02 1.19879849e-01 -3.50108114e-03 3.30192363e-03 -1.93840917e-03 -1.52582854e-01 1.92282140e-01 -1.62020132e-01 -9.56047233e-03 -1.43539049e-02 -1.40233397e-01 -7.98583999e-02 -1.54593766e-01 -8.52094367e-02 -2.38026259e-03 3.55779403e-03 1.50357649e-01 -1.35872727e-02 -2.58068163e-02 1.59756616e-01 5.40708005e-02 -1.12107560e-01 -1.73742082e-02 -3.65100354e-02 -4.39178571e-03 1.64796203e-01 -2.03544080e-01 -4.37215902e-03 1.91065699e-01 -1.72059471e-03 -7.58410012e-03 -3.02422438e-02 1.09792985e-02 -1.75518822e-02 1.66144401e-01 -4.92293481e-03 6.25434332e-03 1.33711519e-03] Cos Similarity tf.Tensor(-0.056281, shape=(), dtype=float32) (128,) (128,) [-3.44411358e-02 -7.79474899e-02 5.97673915e-02 3.18019390e-02 -5.26342168e-03 1.68677881e-01 1.92684352e-01 4.34666872e-02 4.68771392e-03 -9.29166283e-03 -1.26539007e-01 -1.72816347e-02 -1.26755657e-02 1.63479030e-01 -4.51792069e-02 -2.28189379e-01 -1.76796932e-02 1.39752388e-01 4.49645892e-02 3.82043719e-02 1.74113899e-01 1.92087129e-01 1.73688665e-01 -1.20853335e-01 -6.04963722e-03 -3.50279571e-03 7.11778179e-02 4.74133948e-03 -8.66315141e-02 1.23676755e-01 -1.14318728e-01 7.38557428e-02 -8.66822060e-03 -3.13009857e-03 -5.51484972e-02 -1.02068959e-02 -2.00521033e-02 1.51678726e-01 -5.57863852e-04 9.08686668e-02 1.21551834e-01 2.68646586e-03 9.25365530e-05 -8.82468186e-03 1.33156970e-01 9.66482982e-02 1.31460458e-01 3.74166132e-03 5.32275857e-03 1.53203392e-02 2.85447277e-06 3.92756891e-03 -1.04802903e-02 -3.45666474e-03 -9.87263862e-03 4.45438037e-03 1.73244357e-01 1.79090793e-03 4.66738269e-03 -6.59235241e-03 -2.74042273e-03 1.79141104e-01 2.69760918e-02 -6.42100535e-03 -8.16823263e-03 8.77104979e-03 -1.03057511e-02 -1.60957769e-01 -9.05153435e-03 1.81307718e-01 1.02960467e-01 5.71238324e-02 -3.14175093e-04 7.71132624e-03 1.96492882e-03 4.21209168e-03 2.03303188e-01 -7.63641000e-02 1.33002875e-03 -2.22604144e-02 -9.53042042e-03 -4.54702793e-04 2.04385612e-02 4.98056784e-02 8.25684518e-02 1.29926741e-01 -8.22035745e-02 5.35645476e-03 -8.56309012e-03 -1.72026083e-01 -1.13009706e-01 -1.51574820e-01 -1.13032209e-02 4.86918073e-03 6.01509167e-03 1.57257631e-01 -1.29350334e-01 2.01096386e-01 -4.48661922e-05 -5.92913367e-02 -8.73374417e-02 1.07222073e-01 1.73033759e-01 5.41616753e-02 -6.72592840e-04 -4.65414108e-04 -1.30277410e-01 -6.21237699e-03 -1.70505773e-02 1.23463251e-01 1.39304504e-01 1.98594987e-01 -1.43966381e-03 1.03241675e-01 -1.36681534e-02 6.56947717e-02 1.80174150e-02 -1.63457580e-02 -2.02847477e-02 -1.94714610e-02 -3.08225653e-03 -1.20000660e-01 1.31833749e-02 -2.34178696e-02 -5.00351079e-02 3.24310325e-02 6.39200443e-03 -2.11614603e-03] [ 0.05748862 0.20248204 0.07951232 0.03863949 -0.01007762 0.10709669 -0.10538144 -0.17955841 -0.0049804 -0.02325206 -0.1070914 -0.01532262 0.00210023 0.16629258 -0.03301537 -0.18533169 -0.00884566 -0.07758914 0.18600455 -0.12898022 -0.12657179 0.11808573 0.16216756 -0.13219498 -0.00410667 -0.00471007 0.02976141 -0.00316315 -0.01064623 0.04986874 -0.1732473 0.0116318 -0.0067813 0.00471395 -0.12280037 -0.01140788 -0.01092805 0.16153498 -0.00409434 -0.0426304 0.09705503 -0.00602673 -0.003256 0.00124197 0.11405694 -0.10013989 0.00584898 -0.00732291 0.00690395 0.00935522 0.00708962 -0.00153717 -0.01783914 0.00639888 -0.0106931 0.00195043 0.13523921 -0.00083576 0.01029802 -0.00928092 0.15795015 0.08921394 0.06692149 -0.02128484 0.05435642 0.07343999 -0.01806125 -0.14690854 -0.01201113 0.16257848 -0.02545619 0.05469984 0.00038268 0.00937103 -0.00803331 0.00901462 0.19971147 -0.14808817 -0.00069958 0.07457153 -0.01048968 0.01032292 0.01561462 -0.04889188 0.09846634 0.02840274 -0.1372486 0.00199599 -0.00489171 -0.14530149 -0.1543601 -0.05430188 -0.01489565 0.0028733 0.00338025 0.15284042 0.00300128 0.21606907 -0.00063786 -0.1726906 -0.12655134 0.09275664 0.1850314 0.029192 -0.00399461 -0.01006529 -0.06111846 0.01043739 -0.01580363 0.03445948 0.16750215 0.13313046 -0.01107235 0.08403268 -0.07126401 0.0319285 0.10674795 -0.01939861 -0.20604038 -0.018287 -0.00106485 -0.1482595 0.01566691 -0.02401191 0.01301451 0.06043414 -0.07868738 -0.00923494] Cos Similarity tf.Tensor(0.62643105, shape=(), dtype=float32) (128,) (128,) [ 0.02353226 -0.08412027 -0.05754526 -0.00331798 -0.02691047 -0.03674034 0.05718787 -0.15465741 0.01481222 -0.00407028 -0.00369726 0.01773646 -0.00660229 -0.19839483 0.0092956 0.10542113 -0.00146268 -0.08157542 -0.14143746 -0.05535979 -0.09616867 0.01958723 -0.17015347 -0.04380899 -0.02442041 0.00569941 0.09124808 -0.01804021 -0.11948016 0.1718193 0.11025245 0.01592358 0.0040205 -0.02268658 -0.10435877 0.00310874 -0.01125386 -0.228368 0.01031718 0.02360374 0.17685333 0.01005889 -0.00133587 -0.00491275 0.17343988 -0.21985227 -0.17936812 -0.0063423 0.0145209 0.00402092 0.01722341 0.0027722 0.00743595 0.00568234 -0.02033433 -0.00640787 -0.17052601 0.00610393 0.00719686 0.00190606 -0.16335899 -0.00397928 -0.16809522 -0.02071478 -0.14379008 0.12983684 -0.01794118 -0.00587665 -0.01014717 -0.14858153 0.03437069 0.01839643 -0.00392676 -0.00612841 -0.01452426 -0.0071698 -0.15577719 0.11722261 0.00573618 0.03924978 -0.00626198 0.00838538 -0.01833763 -0.06826898 0.09298086 -0.11768135 -0.09243346 0.00796824 -0.01536303 0.06804904 0.19038029 -0.0875479 -0.0006472 0.01252416 0.00077131 -0.13525723 0.17806366 0.09386729 0.00156495 -0.03126901 0.16820025 0.00529755 0.06230438 -0.13468726 0.01289029 -0.00309348 0.11017592 0.03919329 -0.00417072 0.09689211 -0.09514719 -0.21695098 -0.01756436 -0.0271711 -0.05025247 -0.03114541 0.13612854 -0.00155884 0.14069158 0.01349745 0.00505614 -0.0776152 0.03360086 0.01530783 0.17335795 0.01217305 0.15505324 -0.00371146] [-3.83699313e-02 -7.20849931e-02 -4.74692881e-02 7.48606445e-03 -1.76999290e-02 -5.36639653e-02 6.42175972e-02 -1.00119688e-01 1.27542950e-02 -1.45470654e-03 -3.33383605e-02 5.22926683e-03 -8.16308055e-03 -1.79991424e-01 -2.02995278e-02 1.31374583e-01 -1.27707599e-02 -9.22312438e-02 -1.35642514e-01 -4.27469723e-02 -9.10626277e-02 2.92553958e-02 -1.61465332e-01 -3.06688342e-02 4.67793550e-03 8.59036017e-03 6.70979470e-02 -1.47689348e-02 -1.10260338e-01 1.58948541e-01 1.17949583e-01 2.16352325e-02 -4.94192238e-04 -3.42762768e-02 -1.06206566e-01 1.16504943e-02 -4.66939434e-03 -2.17197761e-01 2.50226771e-03 1.07932806e-01 1.51180074e-01 1.41650056e-02 -9.06686112e-03 -1.16460202e-02 1.15535803e-01 -2.06373289e-01 -1.67907581e-01 -1.63317323e-02 -2.77580717e-03 -2.15220425e-04 9.77224018e-03 2.15596217e-03 -4.82760975e-03 3.52841103e-03 -7.89183285e-03 -2.79618456e-04 -1.58551097e-01 -6.29470591e-03 -1.57062393e-02 -1.00430418e-02 -1.98585153e-01 8.61916319e-02 -1.55570999e-01 -2.39121784e-02 -1.02341332e-01 1.70187786e-01 -1.59306228e-02 -8.93353671e-03 -1.27158845e-02 -1.51677355e-01 1.07537851e-01 3.63397673e-02 -1.05110393e-03 3.25539405e-03 -8.35684314e-03 -1.16490126e-02 -1.79694846e-01 1.13126628e-01 5.95639111e-04 1.94517500e-03 -1.14161577e-02 2.82795727e-02 -2.24232432e-02 -1.20676994e-01 1.56299502e-01 -1.68290094e-01 -9.49409083e-02 7.75321387e-03 -1.98688004e-02 6.93816915e-02 1.82697058e-01 -6.14582412e-02 -9.31640342e-03 7.28668692e-03 1.73012028e-03 -1.51557490e-01 1.69464409e-01 1.04041144e-01 4.78269532e-03 -1.22855371e-02 4.27485183e-02 3.20400298e-02 2.22137049e-02 -1.57356694e-01 2.47616344e-03 8.95618359e-05 1.05347328e-01 2.18714345e-02 -1.23145916e-02 8.14865306e-02 -8.52937177e-02 -1.91517562e-01 -1.55410413e-02 -4.84228767e-02 -4.45427559e-02 1.56218007e-01 1.83451429e-01 1.47661180e-04 1.39262959e-01 2.80846003e-03 -5.39367553e-04 -7.10098967e-02 1.03374030e-02 9.88744944e-03 1.55831888e-01 8.98193289e-03 1.33627802e-01 -4.83814219e-04] Cos Similarity tf.Tensor(0.9407178, shape=(), dtype=float32) (128,) (128,) [-0.16058639 0.09975609 -0.09185448 0.08010537 -0.00617125 -0.1679368 -0.12559459 -0.08892421 0.00166659 -0.00349254 -0.22461013 -0.00490612 0.00096459 -0.18512443 -0.03214661 0.13101186 -0.00704632 -0.13883436 0.1413159 -0.10278669 0.14120759 -0.06238635 0.11666909 -0.07449628 0.00835797 -0.00235177 0.07226644 -0.01446741 0.13705693 0.1682149 0.14052941 -0.04508569 0.00241003 -0.01723631 0.15801881 0.00830649 0.01450109 -0.18229195 -0.00119511 -0.10336512 0.19130374 0.0066738 0.00045734 -0.00155102 0.16693906 -0.15155552 -0.04310328 -0.02553262 0.0071887 -0.00092627 0.00334952 -0.00379467 -0.02404085 0.00507708 -0.00637056 0.00264444 -0.21351583 -0.00242596 -0.0098684 -0.00181582 -0.05382469 0.20274778 -0.1537353 -0.00628781 -0.0753671 0.10880413 -0.00951644 0.0048046 -0.01760475 -0.00225053 0.00835811 0.07344925 -0.01156228 -0.00263624 0.00073626 -0.00723615 -0.16210629 0.07173722 -0.00135234 0.07933822 -0.01758635 -0.05380125 -0.01527902 0.04418731 -0.03564522 -0.16003723 -0.05184896 0.00531711 -0.00298396 -0.03204697 0.15102622 -0.03343583 -0.01427045 0.00591328 -0.00448334 0.16497612 0.20191643 0.00956779 0.00237955 -0.07362232 0.1989009 -0.04313554 -0.07509201 -0.11826379 -0.00674935 0.01313915 0.10945481 -0.00766115 -0.01687401 -0.13417651 -0.00577654 -0.07179505 0.00098347 -0.01037864 -0.02714697 0.15333083 0.17318752 0.00345867 -0.05230313 -0.00473399 0.00307644 -0.03566976 0.01131816 -0.0151311 -0.04466968 -0.01317081 0.02463482 -0.01960214] [-6.7732879e-03 1.5136115e-01 -8.3885930e-02 1.0961813e-02 -1.5146305e-03 -1.7443195e-01 -8.1118502e-02 -7.8091741e-02 3.7700271e-03 -4.4539808e-03 -2.2960752e-01 -5.6474297e-03 -1.3592781e-04 -1.8963280e-01 -4.0738545e-02 1.3938639e-01 -1.0116854e-02 -1.8364507e-01 1.2113974e-01 -9.6123300e-02 1.4640896e-01 3.4534752e-02 1.1741015e-01 1.6138503e-02 1.6339337e-02 -1.6748760e-04 1.1349415e-01 -9.4626024e-03 1.2543757e-01 1.8065849e-01 3.3908457e-02 -2.3748426e-02 -1.6127776e-03 -1.9015860e-02 9.5279619e-02 -1.7455447e-02 1.0851619e-02 -1.8719554e-01 5.2654492e-03 -1.0521768e-02 1.8350926e-01 4.8673991e-03 3.4757622e-03 -1.5711149e-03 1.8620145e-01 -1.8221520e-01 -6.8750650e-02 -1.7449036e-02 -1.4749074e-03 3.1640942e-03 4.9198577e-03 -4.5452011e-03 -2.7148027e-02 2.6874621e-03 -1.0040146e-02 2.2514756e-03 -2.1550491e-01 -4.1203839e-03 -7.9985484e-03 -3.0345442e-03 -1.5444271e-01 2.0339824e-01 -1.8155622e-01 -2.9461489e-03 1.2186954e-02 1.4626479e-01 -9.1430461e-03 4.0294562e-02 -1.3516759e-02 -4.3811139e-02 1.4898868e-04 5.3461656e-02 3.9172336e-03 -2.2463023e-03 2.7235309e-03 -1.5818878e-03 -1.5140104e-01 8.5551620e-02 1.8748628e-03 1.0724415e-01 -1.4122915e-02 3.8491918e-03 -6.5409308e-03 -6.3806144e-03 -5.2927233e-02 -1.5498406e-01 9.7927973e-02 6.6296797e-04 -3.1441154e-03 -2.3206381e-02 1.5459791e-01 -7.0139125e-02 -2.4289358e-02 4.7525815e-03 -9.4310666e-04 1.6261072e-01 1.6878280e-01 1.8801495e-01 -3.4563784e-03 -9.4149798e-02 1.0013884e-01 -4.6445560e-02 -8.2827769e-02 -9.1193050e-02 -9.0343701e-03 1.8196974e-02 9.9989802e-02 8.1228148e-03 -1.9723374e-02 -1.1196594e-01 1.9842951e-02 -8.9651510e-02 -1.0275344e-02 6.1016125e-03 -2.9927243e-02 1.3155206e-01 1.8157315e-01 5.7942923e-03 -9.1147169e-02 -6.8313284e-03 3.1270331e-03 -4.4923708e-02 1.2083022e-02 -1.5703881e-02 5.7934240e-02 1.7659625e-03 3.1099711e-02 -2.0767674e-02] Cos Similarity tf.Tensor(0.9013152, shape=(), dtype=float32) (128,) (128,) [ 1.75566524e-01 4.75755800e-03 1.03621036e-01 8.10580626e-02 4.09739763e-02 -5.53080719e-03 -1.04630545e-01 1.93189278e-01 1.33725060e-02 9.14275821e-04 -6.55913875e-02 2.78347488e-02 5.21196425e-03 3.75928134e-02 1.48091823e-01 -5.06874919e-02 4.56228741e-02 9.86156240e-02 -1.46147326e-01 -6.50736541e-02 -1.44624174e-01 -6.25969172e-02 3.89584862e-02 1.10237099e-01 3.76680121e-02 -1.64771341e-02 9.76282209e-02 1.00728879e-02 -1.58144951e-01 1.71663538e-01 2.08566278e-01 -1.37794957e-01 -9.16051399e-03 4.11526263e-02 2.05730021e-01 -4.79663797e-02 6.30958006e-02 6.90180063e-02 -5.67070991e-02 1.75136745e-01 7.62888193e-02 3.46098244e-02 1.28599796e-02 -7.81834405e-03 1.50577247e-01 2.15242639e-01 -4.52570766e-02 5.95517829e-03 3.90620232e-02 1.17602991e-02 -4.37864289e-03 8.01635720e-03 1.06728962e-02 1.07512968e-02 3.21980156e-02 3.68882604e-02 9.31024477e-02 1.09583978e-02 2.16439739e-02 3.14066671e-02 -2.48622540e-02 -1.80369526e-01 -1.06061764e-01 5.38181588e-02 1.37940899e-01 -1.33871660e-01 1.02993874e-02 -1.09471358e-01 3.18689048e-02 -1.15107372e-02 -1.25536546e-02 1.37324948e-02 2.34206184e-03 6.11180775e-02 9.29302303e-04 2.29265355e-02 1.65851697e-01 1.83135122e-01 -7.62323849e-03 -1.11251347e-01 -9.58643388e-03 -1.90927126e-02 1.38826286e-02 -6.38313442e-02 1.62988797e-01 -2.41120774e-02 1.07720509e-01 -2.48925295e-04 2.72493437e-02 8.84678736e-02 -7.06832483e-02 -1.22725762e-01 1.62012205e-02 3.36681716e-02 2.03005299e-02 8.07268731e-03 2.75506489e-02 2.11683466e-04 7.34324148e-03 -1.80030778e-01 1.34783108e-02 1.88514534e-02 8.41082186e-02 2.03892082e-01 2.54805014e-02 2.80158445e-02 -2.08653554e-01 3.42207961e-02 2.06706896e-02 -3.95989493e-02 -8.37072134e-02 2.06748039e-01 3.42165232e-02 -8.27949196e-02 4.25426476e-02 -1.67386636e-01 -8.11043952e-04 2.58167693e-03 2.34059058e-02 3.82626094e-02 6.11498440e-03 1.20201532e-03 2.91838888e-02 1.92181673e-02 1.12623714e-01 2.41072197e-02 -1.52678890e-02 3.46903130e-03] [ 1.54080227e-01 -1.18587583e-01 5.53786904e-02 4.32436261e-03 8.50096066e-03 1.26583755e-01 -6.55490756e-02 1.70114189e-01 -2.03516451e-03 -8.82141292e-03 -9.29079503e-02 -1.98407914e-03 -1.66851059e-02 -1.62496250e-02 4.73645702e-02 5.31975515e-02 1.76837947e-02 1.62947223e-01 -1.41551748e-01 -1.71561837e-01 5.66662699e-02 -1.32860646e-01 7.29322359e-02 9.80742183e-03 1.38665484e-02 1.01290802e-02 1.46501571e-01 5.41637186e-03 -2.05191895e-01 1.60152540e-01 1.54376298e-01 -2.03267425e-01 -2.30690818e-02 -5.91121055e-03 1.08193375e-01 2.68840231e-03 1.17695134e-03 8.52591917e-02 -1.82493310e-02 1.07726417e-01 2.15160161e-01 7.90821668e-03 -1.28488634e-02 -1.93337426e-02 5.42436279e-02 -1.09811276e-02 -2.25035753e-02 -3.61919636e-03 2.17704773e-02 1.03658596e-02 1.81611464e-03 1.39011082e-03 -1.45688318e-02 6.36193668e-03 8.32706504e-03 1.32632265e-02 -7.92418271e-02 9.69517138e-03 -7.95148592e-03 -6.20440056e-04 1.48504630e-01 -8.09952989e-02 7.79036358e-02 -5.97210601e-03 1.99453115e-01 -1.95768863e-01 -1.95480953e-03 -9.04014260e-02 1.07639292e-02 -1.28199250e-01 -1.02625322e-02 -1.39878541e-01 3.66289006e-03 2.15331800e-02 -1.25795277e-02 1.33187016e-02 5.46281971e-02 1.68579414e-01 -6.39954349e-03 1.23781756e-01 -1.08968467e-02 -1.91339944e-02 -1.62253229e-04 -3.54989432e-02 1.53280258e-01 -3.74162346e-02 1.34942323e-01 7.73791049e-04 2.01690254e-05 7.16956258e-02 1.20768778e-03 1.17709283e-02 1.39122531e-02 2.25653197e-03 3.91025841e-03 -1.31084785e-01 -5.51010342e-03 -1.41650096e-01 9.41455550e-03 -1.99472368e-01 5.16730249e-02 -4.58123945e-02 1.94469407e-01 8.63621086e-02 -1.33470371e-02 -2.08093189e-02 -2.46311128e-02 2.85707936e-02 -3.96231096e-03 -1.01515606e-01 -1.23370133e-01 1.36127681e-01 1.68022234e-02 -1.87162429e-01 4.95513603e-02 -1.13274321e-01 -6.83851689e-02 -1.00707989e-02 -1.99112207e-01 -1.25247445e-02 1.43818846e-02 4.58469614e-02 1.42231705e-02 2.41835751e-02 7.81457201e-02 1.24832638e-01 1.52341146e-02 1.87847170e-03] Cos Similarity tf.Tensor(0.637732, shape=(), dtype=float32) (128,) (128,) [-0.14541917 0.01860935 -0.04362422 0.02961615 -0.01201979 -0.00398208 -0.06242371 0.18438268 -0.00489551 0.00160515 -0.15958619 -0.00506709 0.01366126 -0.10421072 0.00743065 -0.0982307 -0.01185207 0.09205412 0.16421032 -0.03517804 0.15058297 0.08167655 -0.16830446 0.12118147 -0.02414107 0.01336295 0.09372572 -0.00686245 -0.00125249 0.11073729 0.14844571 0.09996137 0.00136554 -0.04744752 -0.05386083 0.0081002 -0.01314642 -0.08436458 0.00503205 -0.03867058 0.1942804 0.01437378 0.00220196 0.01435552 0.01808107 -0.14669393 0.21740295 -0.00848036 -0.00847085 0.0191497 0.02099201 0.00522731 -0.02219474 0.00885646 -0.0032574 0.02007139 -0.1733324 -0.00538595 0.00532805 -0.00243566 -0.2393008 0.01950607 -0.15915222 -0.00113723 0.12485445 -0.0215874 -0.01159754 0.02161288 0.00764863 0.02054908 -0.08591768 -0.03566327 0.00927895 -0.00673314 -0.0060553 0.00573915 -0.17222464 0.09132448 -0.00301115 0.18394059 -0.00779012 -0.05829287 -0.01394096 0.12953179 0.00250513 0.02590548 0.22544615 0.01037743 -0.01329788 0.04443764 0.00957542 -0.12819849 -0.01268556 0.01629205 0.00364559 -0.00937323 0.04313339 -0.17224234 -0.00502135 0.12212773 0.12460045 -0.12387075 0.02580581 0.12991318 -0.00193617 -0.02460379 0.12993784 -0.01855888 -0.00674238 0.12212227 0.0051826 -0.1390862 -0.01351066 0.0457 0.01089744 -0.17764656 -0.16868189 0.00054295 0.20841368 -0.02552824 0.00622469 0.186575 0.02244597 -0.01152916 -0.02732234 0.04598563 0.10460525 -0.0088716 ] [-1.35109290e-01 3.03450506e-02 7.59250075e-02 1.13216818e-04 -3.44336848e-03 -9.61625949e-03 -9.32764634e-02 6.85677901e-02 -9.17931739e-03 -2.13641743e-03 -2.27650955e-01 9.65521846e-04 1.55226951e-02 -5.05117811e-02 9.92370769e-03 -1.49686486e-01 7.39019550e-03 1.20052353e-01 1.68524459e-01 -1.35859773e-01 6.61628023e-02 -1.85779065e-01 -1.60141036e-01 9.51648951e-02 -3.97511059e-03 9.17632412e-03 1.39692068e-01 -1.81479249e-02 3.50159071e-02 2.17850730e-02 -2.48694550e-02 2.07847729e-01 -3.67588317e-03 -4.92901392e-02 -3.44972126e-02 6.41035289e-03 -2.61435099e-03 -1.35921851e-01 -7.90953171e-03 6.98912665e-02 5.21034338e-02 1.50845330e-02 -7.49640458e-04 -7.87605159e-03 -6.25875071e-02 8.50601867e-02 1.84257865e-01 -2.27540429e-03 -2.22846618e-04 2.00104993e-02 1.64107457e-02 9.23083629e-03 -1.94135047e-02 5.71941352e-03 -1.47614311e-02 1.53886182e-02 -5.43075521e-03 -1.60579380e-04 1.78948976e-03 8.33845884e-03 -1.44630983e-01 -2.00106159e-01 -8.07729363e-02 -1.54984067e-03 -5.04088402e-02 -3.07427403e-02 -1.44115426e-02 3.77416350e-02 9.22888238e-03 5.95989265e-02 -1.10855520e-01 -2.50588097e-02 5.19476552e-03 8.12473358e-04 -2.24488229e-03 -2.90912692e-03 -2.18785256e-01 1.16457343e-01 -6.49209227e-03 1.47307903e-01 -1.06813256e-02 -6.05947748e-02 -2.14878609e-03 1.58348054e-01 -1.70615882e-01 8.08845013e-02 2.14709193e-01 4.21745284e-03 -9.12087411e-03 1.10634364e-01 7.21722394e-02 -1.40554307e-03 -5.62112685e-03 1.28978323e-02 9.14266333e-03 1.95627958e-01 -7.58421782e-04 -1.75475359e-01 -1.08559458e-02 -7.37760738e-02 1.37543350e-01 -5.53740235e-03 6.94598109e-02 9.96752381e-02 -1.92691525e-03 -2.00016014e-02 1.58308446e-01 -1.82643384e-02 2.95579666e-03 -8.97055492e-02 5.94693609e-02 -1.18004553e-01 -5.56740398e-03 7.37739205e-02 9.51875001e-03 -1.15369111e-01 -1.55244216e-01 3.87904630e-03 2.18036532e-01 -1.51768448e-02 7.38114445e-03 1.39771372e-01 1.87453087e-02 -6.26019854e-03 -1.81620389e-01 3.66732217e-02 3.84343974e-02 -1.67437887e-03] Cos Similarity tf.Tensor(0.6729725, shape=(), dtype=float32) (128,) (128,) [-4.17263433e-02 -1.04189605e-01 5.43296114e-02 2.39038896e-02 -5.92444558e-03 -3.34133673e-03 8.07050765e-02 6.08018506e-03 -3.51848989e-03 -1.60220992e-02 2.38326062e-02 -1.46727052e-05 -4.11843620e-02 2.38544252e-02 1.96258232e-01 1.36858463e-01 1.67858135e-02 1.71259776e-01 -2.47033611e-01 -2.03594759e-01 9.33075622e-02 1.13537498e-01 -2.34681019e-03 4.96069118e-02 1.92679632e-02 2.37365589e-02 -1.76255003e-01 1.20480191e-02 -2.35262141e-01 -1.84311092e-01 -1.00146674e-01 6.75805286e-02 3.26568969e-02 3.20050516e-03 -1.01797789e-01 -6.54152303e-04 -1.07131777e-02 -2.67923865e-02 -2.16127690e-02 -4.44358177e-02 -1.59722432e-01 -2.12891889e-03 -4.61871829e-03 -1.57278944e-02 1.84453130e-01 3.08674593e-02 1.62071828e-02 2.57241949e-02 2.25637611e-02 -1.48378061e-02 8.17791931e-03 5.65608963e-04 3.12004064e-04 1.99357066e-02 7.79810711e-04 2.25758459e-02 -7.33805820e-02 5.03137708e-03 -6.19221758e-03 2.35448824e-03 1.77292973e-01 -1.19425796e-01 2.37599295e-02 7.31424429e-04 -1.42229116e-02 -1.53043211e-01 1.15850160e-03 9.41730477e-03 -1.19433971e-02 3.82106751e-02 -4.67632003e-02 1.11364149e-01 -1.33979553e-03 -9.47808288e-03 -1.09771052e-02 5.40082110e-03 7.86946043e-02 -1.31310582e-01 -6.00187620e-03 -2.56527692e-01 -6.66927360e-03 -1.09591680e-02 1.35652088e-02 1.59694497e-02 -3.47421784e-03 1.22739300e-01 -1.18936405e-01 9.18028224e-03 -2.07836201e-04 -1.18919216e-01 -2.91853976e-02 -1.73201501e-01 6.22515799e-03 4.67370218e-03 4.88853781e-03 -1.04866892e-01 3.43360156e-02 -1.71049051e-02 -1.19804936e-02 -8.92232731e-02 2.29630440e-01 4.91168015e-02 -1.84913039e-01 -3.19261290e-02 -1.56425347e-03 1.98999960e-02 -2.12666705e-01 1.16805942e-03 -5.41338325e-03 -6.27343580e-02 6.17327914e-02 1.55059174e-01 2.85942797e-02 -1.62252322e-01 3.72518077e-02 9.83416103e-03 1.63964167e-01 -1.34763112e-02 -1.92673355e-01 -6.74623344e-03 2.38286378e-03 -4.11152355e-02 2.03326661e-02 1.55915702e-02 -3.86676230e-02 -2.58280355e-02 -6.84388876e-02 -7.51396595e-03] [ 0.16768484 0.1990143 0.02548542 -0.20898144 -0.04191687 -0.03922677 0.21552788 0.01021649 -0.01265922 -0.00904198 0.13100491 -0.00675914 0.00261082 0.01869809 0.13738151 0.00141767 0.00411084 0.1184418 -0.1596837 -0.08326721 0.03199392 -0.00370677 -0.06616908 -0.10696106 -0.00762568 -0.00153937 -0.03220892 0.00443014 0.04905153 0.01314672 -0.22484861 -0.01359754 0.01445335 -0.00861818 0.16050446 0.00437232 0.00130466 -0.06906596 -0.01598808 0.11487941 0.13780601 -0.00777266 -0.00578826 -0.00141838 -0.06120778 0.01050316 -0.12549667 0.00708387 0.01460332 -0.00379955 -0.00128654 0.00120592 0.00045806 0.01048532 -0.00724824 0.0156838 -0.09567024 0.01604568 -0.00146762 -0.0125757 0.12862341 -0.0989256 0.02945349 -0.00623868 -0.02664386 -0.17683807 0.00287865 0.06488736 -0.01811048 0.23505828 0.16688877 0.12207098 0.00321517 0.00881594 -0.02122455 0.02293868 0.10404732 0.02582965 -0.0028432 -0.05541766 -0.01739218 0.00050513 0.00394377 0.00701502 0.0031036 -0.14347246 -0.04210166 0.00993081 -0.00627618 -0.01440959 -0.0600647 -0.17602114 -0.00500041 0.00632471 -0.00156038 -0.04459288 -0.21730433 -0.15865028 0.00520886 0.15024914 0.20318913 0.012573 0.17051783 0.00201507 -0.01574104 0.00309788 -0.16480307 0.00674946 -0.01257358 0.16682154 0.06346845 -0.08372316 0.00907432 0.04852738 0.01745815 -0.16744156 0.13530411 -0.02631834 0.01474178 -0.01910213 0.00726861 0.08704162 0.00128267 0.02224866 0.21601906 -0.12222557 -0.03399964 -0.00427511] Cos Similarity tf.Tensor(0.20145199, shape=(), dtype=float32) (128,) (128,) [ 2.11562008e-01 -1.80752710e-01 -2.92377453e-02 6.04415163e-02 3.12252645e-03 -1.51841864e-01 -7.45244399e-02 1.76869720e-01 -1.62959925e-03 8.95786844e-03 -9.23829675e-02 -1.14095444e-02 -1.33406008e-02 -1.61352485e-01 9.00593549e-02 -5.38534485e-02 -1.06834471e-02 -3.68172936e-02 -4.08022180e-02 1.18544474e-01 1.57264680e-01 8.80956799e-02 -1.28800333e-01 -8.04450586e-02 -3.06919403e-03 4.21567541e-03 4.65065381e-03 1.43664163e-02 6.82655871e-02 -2.47407593e-02 -1.35094211e-01 1.94133759e-01 -1.93125084e-02 1.38335919e-03 1.43474983e-02 1.43719055e-02 -1.02126673e-02 2.41105966e-02 -3.70665337e-03 1.06344089e-01 2.12807789e-01 8.89651198e-03 5.36169158e-03 6.85330899e-03 8.38740766e-02 -6.32681251e-02 5.11951670e-02 1.50860725e-02 -3.95853445e-03 2.10878141e-02 1.60542398e-03 7.78537150e-03 -5.79157937e-03 9.07711033e-03 -3.34041263e-03 3.75499297e-03 9.82505158e-02 4.98930411e-03 2.00487673e-02 1.61781274e-02 2.26849794e-01 -5.73696867e-02 -2.07363054e-01 1.42297577e-02 1.47066876e-01 -1.62259474e-01 -7.42071355e-03 1.56893030e-01 9.56792291e-03 -9.90494043e-02 -7.70573989e-02 -7.59137571e-02 9.80824698e-03 3.85144120e-03 5.35696000e-03 6.64744712e-03 2.13988334e-01 5.83686028e-03 -2.63835973e-05 -1.58530220e-01 3.78992921e-03 -6.60868036e-03 6.46256190e-03 1.71791613e-01 1.85676426e-01 5.12514263e-02 1.46024093e-01 1.21838637e-02 8.69124010e-03 8.34236518e-02 7.30680823e-02 -1.08305521e-01 -1.20907295e-02 1.06727062e-02 8.04070942e-03 -8.75896122e-03 1.36604458e-01 8.37060288e-02 4.04851651e-03 4.13952656e-02 1.74250990e-01 1.71128944e-01 4.20110449e-02 -5.57124652e-02 -1.36411991e-02 1.84867382e-02 3.11921276e-02 -3.31100635e-03 6.53070258e-03 1.37334928e-01 9.33625400e-02 1.84392184e-01 9.47764027e-04 -1.16575897e-01 -3.69216353e-02 8.07305723e-02 -8.74922350e-02 8.56102072e-03 1.38212308e-01 -1.45940566e-02 2.54776469e-03 6.74148742e-03 7.02315802e-03 -1.25179999e-02 -1.04701117e-01 5.73679507e-02 2.63623074e-02 -8.07527732e-03] [ 1.72304720e-01 1.16489399e-02 5.06276637e-02 -1.51777789e-01 5.73154422e-04 1.15571253e-01 -1.67321607e-01 1.26820385e-01 -1.27100190e-02 1.10775111e-02 -1.37699887e-01 2.11051609e-02 1.27986632e-02 -3.25269960e-02 1.22756518e-01 -4.82665300e-02 4.14338056e-03 1.79582328e-01 -8.77166092e-02 -4.63901870e-02 6.80483282e-02 3.39777283e-02 1.16645023e-01 -1.13598444e-02 3.04932874e-02 6.86232327e-03 1.22837685e-01 2.10914705e-02 -1.16695493e-01 -1.71019047e-01 1.81014284e-01 -1.03744000e-01 -1.09892655e-02 6.04634825e-03 4.47176062e-02 8.14806949e-03 -1.56877823e-02 -5.16887903e-02 -1.06079346e-02 -5.38009182e-02 1.94292456e-01 1.41751384e-02 4.42312844e-03 -1.20253507e-02 1.47551998e-01 -4.82533760e-02 -2.39683893e-02 3.14328894e-02 9.83961485e-03 2.33197659e-02 1.65074933e-02 2.33536493e-03 1.71079375e-02 1.88045297e-02 1.85886379e-02 2.76922435e-02 1.83681473e-01 1.26076080e-02 2.39695329e-02 9.82232857e-03 1.57804072e-01 -1.55804515e-01 9.00765359e-02 2.82168221e-02 -1.02671295e-01 4.72580869e-04 -6.77052327e-03 -3.07130325e-03 1.85125750e-02 1.04252510e-02 1.44382551e-01 1.27715588e-01 2.89689307e-03 5.83907217e-03 1.22010969e-02 1.89668667e-02 1.89445004e-01 1.69277608e-01 -7.96193350e-03 -3.74544674e-04 1.56394707e-03 -2.39351541e-02 1.70434415e-02 1.58114091e-01 4.66478169e-02 7.13343248e-02 -4.43726219e-02 1.70778707e-02 3.67001537e-03 1.67856202e-01 -1.01743691e-01 -1.46904483e-01 1.71853490e-02 1.44410031e-02 2.54333243e-02 8.65783840e-02 4.28595543e-02 -6.55369014e-02 1.21650500e-02 1.82975620e-01 -4.88051996e-02 4.36571129e-02 1.76753178e-01 1.92911163e-01 2.27264548e-03 3.62259671e-02 -1.10224694e-01 1.85981560e-02 2.21041460e-02 -1.93968430e-01 1.67725474e-01 -3.85701619e-02 2.22927216e-03 -5.78930415e-02 -6.83963392e-03 1.41855076e-01 7.66072497e-02 -1.06504979e-02 -1.61340654e-01 -8.51713959e-03 2.10968368e-02 -3.96568924e-02 4.19220664e-02 7.97532994e-05 1.65843844e-01 1.08791776e-01 -8.19399357e-02 -3.95164452e-03] Cos Similarity tf.Tensor(0.13106543, shape=(), dtype=float32) (128,) (128,) [-9.93863642e-02 1.16628721e-01 -2.81238724e-02 -1.20783158e-01 -3.07133533e-02 -1.60316721e-01 1.66356251e-01 8.99044052e-02 7.75085762e-03 -1.18058464e-02 -6.70580357e-06 1.35390786e-02 4.53303661e-03 -1.80181578e-01 8.15287139e-03 4.56254631e-02 -6.30094158e-03 -1.78865552e-01 7.43793100e-02 -9.17426497e-02 1.10197425e-01 2.25882623e-02 -2.10903287e-01 -1.24735475e-01 1.78130099e-03 3.09762149e-03 2.22506776e-01 -3.13810930e-02 1.63214460e-01 9.50648934e-02 -3.89237120e-03 6.12473935e-02 -2.67820116e-02 -5.05282590e-03 -3.13271508e-02 1.10622554e-03 6.55016629e-04 -1.08815283e-01 -3.92816775e-03 9.45127476e-03 -1.62349436e-02 1.06957266e-02 -1.24617741e-02 7.81540386e-03 -1.47377267e-01 3.69309150e-02 9.95274335e-02 -6.51507173e-03 6.36913488e-03 1.39205726e-02 6.77391561e-03 4.14637820e-04 -8.13942403e-03 3.45362537e-03 1.06426626e-02 4.25172318e-03 2.01131925e-01 -1.31300036e-02 7.30971759e-03 2.67458451e-03 -2.30982006e-01 -9.07308757e-02 -1.28281817e-01 -2.26655230e-02 3.78249660e-02 -1.86265066e-01 -9.94669180e-03 -1.13407478e-01 -1.49122039e-02 -2.48362664e-02 -2.32132338e-02 -9.43812355e-02 -3.11555981e-04 4.54063248e-03 -4.01470577e-03 4.40007308e-03 1.44712389e-01 1.39088780e-01 5.19131683e-03 -1.94589064e-01 6.53200969e-03 2.13381788e-03 5.17444406e-03 1.32095758e-02 3.54031697e-02 -1.27058193e-01 -1.06370710e-01 1.25130052e-02 -1.80724598e-02 -9.07484666e-02 -1.53057426e-01 -1.67774349e-01 -3.63990441e-02 -3.85338068e-03 9.94739123e-03 2.07339019e-01 -1.14015136e-02 -5.05674183e-02 -1.02889594e-02 -6.77229613e-02 -1.25607550e-02 1.51424795e-01 1.50990605e-01 7.37429112e-02 -2.57987902e-02 1.10451225e-02 1.55329213e-01 -4.21452615e-03 -4.52333828e-03 1.26388788e-01 7.61005701e-03 -5.65229468e-02 -1.58748217e-02 6.57235086e-02 -4.20960635e-02 1.45979270e-01 1.14445440e-01 -6.54236320e-03 -2.16517657e-01 -1.15386257e-02 -2.52283574e-03 6.19517900e-02 1.08195813e-02 -8.57013650e-03 -1.46235973e-01 9.39346477e-03 -4.95470408e-03 -2.36038733e-02] [-1.97891835e-02 4.78996076e-02 -1.01095647e-01 1.73578084e-01 -4.57329303e-02 -4.24389401e-03 -8.36411193e-02 -2.62707174e-01 3.26188025e-03 -3.08652828e-03 -1.84167579e-01 2.99015646e-05 9.06178355e-03 -2.23262995e-01 1.24858031e-02 -6.68435870e-03 -4.10047872e-03 -2.36157566e-01 1.07046679e-01 -5.93018942e-02 -1.23429649e-01 -1.01137035e-01 1.44860456e-02 9.93610453e-03 5.43820905e-03 1.36735616e-03 7.80066177e-02 -1.63498111e-02 -1.61053330e-01 1.63195759e-01 2.99261585e-02 -1.79202586e-01 1.04924915e-02 -3.22207320e-03 1.85862839e-01 1.87500764e-03 6.60127215e-03 -8.86669904e-02 8.40615295e-03 -7.29720145e-02 -1.59924045e-01 2.64089159e-03 -2.18193848e-02 1.02595042e-03 -9.15531963e-02 -1.56080455e-01 -5.66289946e-03 -7.91635364e-03 1.39769586e-02 7.20933836e-04 4.22643730e-03 4.28332482e-03 -1.88374482e-02 3.88942962e-03 -1.33847948e-02 1.89651409e-03 -1.68933809e-01 -1.76324358e-03 5.20501286e-03 -3.86830745e-03 3.32746841e-03 5.79717755e-02 8.20617825e-02 -1.50546348e-02 8.44207555e-02 -2.71730255e-02 -2.83533484e-02 -1.15279257e-02 -4.38357554e-02 -1.60785928e-01 4.08235341e-02 -1.10095881e-01 1.49545551e-03 -1.47631217e-03 -1.77112073e-02 7.71439821e-03 2.47623008e-02 4.43309965e-03 -2.33962946e-03 -8.21923092e-02 -3.89341358e-03 1.82080790e-01 -1.91517752e-02 -1.18303061e-01 7.98185617e-02 1.31808361e-02 -1.64091945e-01 1.35447155e-03 5.72251203e-03 7.50565603e-02 7.98783358e-03 1.06244197e-03 -4.93905274e-04 8.50127358e-03 -4.96845273e-03 -5.87818064e-02 -1.99184224e-01 -2.01490253e-01 -1.13547519e-02 1.37292426e-02 -2.14961264e-02 3.79148498e-02 -1.75045624e-01 6.44473061e-02 -8.39874521e-03 -8.84639006e-03 -1.61360130e-01 2.83168629e-02 -8.07451084e-03 -1.61252040e-02 -1.07315958e-01 -9.47218761e-02 -1.44855520e-02 6.11703028e-04 -4.07885574e-02 -6.83656558e-02 9.56694707e-02 4.19852976e-03 -9.36553255e-02 -1.63743217e-02 6.06862037e-03 2.40273908e-01 1.57484822e-02 2.32293140e-02 -2.21650079e-01 2.95809153e-02 1.10118136e-01 -2.75260564e-02] Cos Similarity tf.Tensor(0.074061126, shape=(), dtype=float32) (128,) (128,) [-0.1304132 0.18068513 -0.0455656 0.04797805 -0.00763403 -0.01409236 0.03398456 0.0025143 0.01176579 -0.01374112 -0.00530523 -0.00152956 0.00311025 0.16341251 -0.00955911 0.09905502 -0.0150475 0.05499131 0.00048982 0.07730033 -0.13428205 0.20735757 0.09467031 0.07848542 0.01799543 0.00732197 0.12836923 0.01156696 -0.19253235 0.15418449 -0.06356452 0.1204122 -0.02557542 -0.00924878 -0.22161777 -0.01649773 0.00761805 0.10045073 0.00637724 -0.03200636 0.1453654 0.00276441 -0.00776026 -0.00751904 0.09705546 0.01208646 0.02997755 -0.01058628 -0.00327196 -0.00407211 -0.0052053 0.00850686 -0.01192571 0.00772948 0.00981783 0.01036817 -0.05132216 -0.00697923 -0.00074779 -0.00451111 -0.23636666 0.03741946 0.06210466 -0.01194455 -0.15346831 0.03028491 -0.01944745 -0.02155722 -0.00674372 0.05044234 -0.05717089 -0.06949798 0.01023326 -0.00867837 -0.00108895 0.01078355 0.0732872 -0.05597291 -0.00229357 -0.17220236 -0.00057949 -0.00675611 0.00720736 -0.20370199 0.21533209 0.19797434 0.16518159 0.00980715 -0.01656963 0.14870834 0.04662174 -0.04770521 -0.01698008 0.01211058 0.00116644 0.21296316 0.08627283 -0.22832023 -0.00165755 -0.0450379 -0.01659787 -0.10762608 0.01542413 -0.18380585 -0.01260495 0.00201763 0.11428138 0.01008043 -0.00846686 0.09768537 0.07581955 0.14329036 -0.00148386 0.10811736 0.04259439 0.10747766 0.20532568 0.00969653 -0.13523324 -0.04035223 -0.00172023 0.02199483 -0.01137069 -0.02954842 0.10059661 0.02882335 0.10058658 0.00599462] [-0.11561847 0.06432279 -0.0280907 0.06530598 -0.01191208 -0.01098487 0.06524276 0.00670203 0.0081793 -0.0123467 0.07873235 0.00088232 0.00983192 0.16591561 -0.00840754 0.04803961 -0.01006301 0.04906122 0.03997351 0.09154063 -0.12183718 0.19353542 0.10164411 0.08437963 0.01532707 0.01116243 0.18304992 0.00883636 -0.16907637 0.05036497 -0.11655589 0.143137 -0.01694663 -0.00144096 -0.22530219 -0.02264035 -0.00168132 0.12732558 0.01401996 -0.05824497 0.12810634 0.0050164 -0.00959222 -0.01365949 0.12093614 0.08103328 0.02123214 -0.01001863 0.00083089 0.00615041 -0.00437663 0.00902926 -0.00134354 0.01299103 0.01546959 0.02008189 -0.04884433 0.00232102 0.00329784 -0.00334216 -0.23162453 0.03397105 0.09320167 0.00622676 -0.1203986 -0.08582238 -0.01225005 0.04117884 -0.00755735 0.01707563 -0.04897413 -0.08467969 0.00942908 -0.02266387 -0.00506989 0.02077797 0.12474835 -0.07716291 -0.00072504 -0.15769129 0.0084656 -0.00713575 0.00751553 -0.22114243 0.20821068 0.18434308 0.16348596 0.01345208 -0.0200763 0.11335859 0.07229941 -0.07164189 -0.00958218 0.01911738 0.00370862 0.22916257 -0.08665966 -0.25092548 -0.00205591 -0.02732614 0.10944925 -0.09352345 0.03282165 -0.20759235 -0.0167798 0.00685735 0.06999768 0.00947181 -0.00869998 0.12189895 0.07307515 0.00759922 -0.00350238 0.13722849 0.05960991 0.04911936 0.22079141 0.00944642 -0.13642639 -0.04421409 0.00119801 0.00614219 -0.01032931 -0.03148501 0.05526536 0.03135796 0.07824497 0.00881297] Cos Similarity tf.Tensor(0.9211011, shape=(), dtype=float32) (128,) (128,) [ 0.09567084 0.2221916 0.08239185 -0.15660174 -0.01348483 0.08395887 0.07021455 0.09074809 -0.0078181 0.00580852 -0.19036973 -0.00615486 0.02431716 -0.03360412 0.04641675 0.21710852 -0.00368129 0.08806829 0.19836745 -0.11799335 -0.2542144 -0.16062021 -0.06148602 -0.00958265 0.0041855 0.00769658 -0.12097119 0.00731676 -0.2013535 0.07304969 0.17709501 0.03218975 0.02200552 -0.00368539 0.20343758 0.01302184 0.01183066 -0.06011488 -0.00778645 -0.00151813 -0.19111717 0.00437935 0.00913555 -0.00760196 0.05120619 0.05193521 -0.00978316 0.00570783 0.01373119 -0.00203744 0.01006724 0.00203249 0.00610086 0.01381011 -0.00929873 0.00347314 -0.14171919 0.01037476 0.00431381 0.0017185 -0.1710288 0.10811576 0.01422413 0.01551367 0.01632528 0.15988684 -0.00246198 -0.09733599 0.00438483 0.09993081 0.10710614 0.00963634 0.00451993 0.00620216 -0.01879455 0.03048223 0.0585415 -0.03939542 -0.00285911 0.04207192 -0.00182657 0.00198998 -0.00591958 0.1343025 -0.01724562 0.18112329 0.08053177 0.02037481 -0.00282536 0.07982023 -0.19298635 -0.10024721 0.01546939 0.01735517 0.00463501 0.0834161 -0.13072948 0.00596237 -0.01626208 0.0994933 0.2228141 -0.03553879 -0.10991684 0.1117918 -0.00045448 -0.00596057 -0.11986937 0.00218779 -0.01855736 0.11581363 -0.07684787 -0.11505871 -0.01030141 0.03746438 -0.03462825 0.02560357 -0.10989556 -0.00685588 0.0072157 -0.03196973 -0.00085451 0.20843492 0.0210196 0.00455927 -0.00843841 0.09412304 -0.00476125 -0.00338338] [-0.11271457 0.18505053 0.02618364 -0.14667079 0.0301804 0.06935211 0.00221004 0.05025218 0.00296648 0.03839535 -0.21930352 0.05135488 0.07967785 -0.03843306 0.05914858 0.10543457 0.01596144 -0.04988401 0.1550996 -0.01271451 -0.2553256 -0.18628244 0.02409702 -0.0047787 0.04688999 0.04464529 -0.15798946 -0.00364881 -0.04282651 0.00112334 0.21617568 0.05739382 0.00600367 0.019764 0.22919428 0.03225543 0.0542012 -0.06540833 -0.07353223 -0.14308271 -0.10647032 0.01624406 0.02099262 -0.03232836 0.0542209 0.02979269 -0.04890494 -0.01595188 0.05880811 0.0125029 0.02805594 -0.00701621 0.04873548 0.04235248 0.05327824 0.04878813 -0.02788767 -0.03237048 0.04544079 0.02468101 -0.16210154 0.06381157 -0.01474546 0.07397459 0.11596709 0.16783267 0.01000393 -0.08050378 0.06689909 -0.04584136 0.12760805 0.11998472 0.00125914 0.03902999 0.03594583 0.06858604 0.05478774 -0.03807681 -0.02121139 -0.11172283 0.00418002 -0.03773852 0.00809187 0.13247491 -0.00775488 0.21788794 -0.14185157 0.04887818 0.00346718 0.10596219 -0.21604459 -0.14833099 0.03016007 0.06432389 0.01087156 0.16208945 -0.00275824 0.03164627 0.00501159 0.00211025 0.10740333 0.05114761 -0.19774531 0.03516322 0.01797239 -0.05476769 -0.00858374 0.00279922 0.02488943 0.17971623 -0.07435324 -0.11824822 -0.0077787 0.04222805 -0.0149286 0.10480095 0.00141389 0.04186458 0.0056923 0.00821377 -0.00936116 0.16581802 0.07755811 0.02969569 0.02930429 0.0386714 0.06694875 -0.00587684] Cos Similarity tf.Tensor(0.7537297, shape=(), dtype=float32) (128,) (128,) [-2.62969792e-01 3.97922397e-02 -4.73720916e-02 7.16105998e-02 8.96568783e-03 6.59468409e-04 6.34114146e-02 1.89979777e-01 -5.31852851e-03 -1.04170749e-02 2.09986605e-02 -1.68521460e-02 -4.11054073e-03 2.12865949e-01 5.41722849e-02 4.98694479e-02 -1.82456374e-02 4.65661027e-02 1.68500319e-01 1.85324118e-01 6.70584068e-02 -2.88637560e-02 1.11150950e-01 -3.47392708e-02 -3.47288810e-02 9.59926564e-03 8.24292600e-02 -1.59689430e-02 -2.75632273e-02 1.12528816e-01 8.96204859e-02 -2.13079639e-02 -1.91013385e-02 -6.66125864e-03 1.78356677e-01 1.51245324e-02 -7.67592154e-03 8.92188922e-02 -4.37793555e-03 1.82777315e-01 1.34866968e-01 5.05337352e-03 -1.46412826e-03 -3.79847409e-03 2.44407952e-01 -1.68467253e-01 -1.00485992e-03 -2.53145806e-02 1.89101766e-03 1.31136654e-02 4.01114486e-03 7.35163782e-03 -1.51483770e-02 -4.16257681e-04 -4.89821425e-04 8.07752181e-03 -1.03570305e-01 -1.44425258e-02 -2.03522742e-02 -1.36142299e-02 -9.06833857e-02 -9.76178497e-02 2.22052112e-01 -8.74212536e-04 9.16370936e-03 1.63111717e-01 -4.65568295e-03 -4.99573871e-02 -1.63915474e-02 5.45458198e-02 4.57635336e-02 -1.85476437e-01 1.61749762e-04 1.96394827e-02 1.17257587e-03 -7.69774802e-03 1.39264688e-01 8.78208550e-04 5.77012962e-03 -1.28280595e-01 -1.75044201e-02 -2.40547284e-02 -3.08339088e-03 1.65113330e-01 -1.22471340e-01 -2.14425717e-02 -1.76885352e-01 6.95115421e-03 -1.58492215e-02 1.64044976e-01 -8.98273848e-03 1.15587145e-01 -3.54688056e-02 -6.95991272e-04 1.07257767e-02 1.80855561e-02 7.74519295e-02 1.21597305e-01 2.89901998e-03 -4.80083413e-02 3.91120352e-02 1.58366904e-01 5.65005988e-02 -1.84729751e-02 -1.62903368e-02 -1.42909475e-02 1.26060665e-01 -1.90558862e-02 -2.67921388e-02 1.59327369e-02 2.50648800e-02 -1.92139167e-02 3.99732077e-03 -1.86524168e-01 3.55118129e-04 -1.62172720e-01 1.75979063e-01 -2.81050755e-03 3.33777964e-02 -1.68271344e-02 -1.11561944e-03 -7.43280575e-02 1.41008552e-02 -3.22161913e-02 1.82186216e-01 -1.05333291e-01 -1.28896967e-01 -8.04547593e-03] [-1.44186467e-01 -1.94185048e-01 -8.01462084e-02 -1.92445368e-01 -1.17392605e-02 -1.33208588e-01 2.09076721e-02 2.81458534e-02 1.71393878e-03 -2.68988707e-03 8.66196454e-02 -3.88320768e-03 -3.77647090e-03 1.89232618e-01 7.18471175e-03 1.13487966e-01 -2.66141817e-02 1.87426373e-01 1.61698312e-01 -9.36556458e-02 2.75316741e-02 -1.20083988e-02 -8.73053372e-02 -1.85555697e-03 -4.74488139e-02 5.85750490e-03 -4.77774553e-02 -2.41140425e-02 -3.84231396e-02 -5.33784032e-02 -1.52468272e-02 -3.78056876e-02 -1.10156685e-02 -3.81711386e-02 7.09492639e-02 1.22525338e-02 5.97488647e-03 -1.37208343e-01 -2.38026935e-03 -9.46878735e-03 1.81595311e-01 -3.51789338e-03 -8.71909130e-03 -3.82875465e-03 -6.65236041e-02 7.91617930e-02 -1.58624813e-01 3.82010895e-03 -7.63142575e-03 9.33316536e-03 6.53926108e-04 2.87739886e-03 -1.46278944e-02 1.39671471e-03 1.20501174e-03 8.27610213e-03 4.27307328e-03 -9.03027598e-03 -4.58205258e-03 -7.13414187e-03 -2.31725588e-01 1.02637567e-01 9.25909206e-02 1.59414788e-03 -1.79596975e-01 1.56648576e-01 -1.59544330e-02 2.15356246e-01 -4.76717623e-03 -1.19949050e-01 -1.69275194e-01 -1.51832208e-01 -1.68598827e-03 1.23450151e-02 -9.52433888e-03 -9.26543772e-03 1.83419287e-01 7.44168786e-03 -7.71146908e-04 2.33668208e-01 -1.72527060e-02 2.89287400e-02 -2.59164651e-03 1.96913481e-01 -7.96406269e-02 -9.79445316e-03 7.47471601e-02 5.85214468e-03 -1.47914076e-02 1.41887173e-01 1.32730916e-01 7.71174580e-02 -4.63158265e-03 4.05732309e-03 -9.66214482e-03 -6.31983429e-02 2.74176672e-02 -1.01314358e-01 -8.99425894e-03 -4.18523960e-02 6.26138449e-02 1.58427656e-02 -1.61943749e-01 1.44708842e-01 -5.50079159e-03 2.96267081e-05 7.47547746e-02 -4.21431789e-04 -1.41263288e-02 8.84297565e-02 1.78407088e-01 -1.13256695e-03 -9.09699500e-03 3.35287340e-02 5.77518903e-03 1.64245561e-01 -1.59963012e-01 -3.35721299e-03 -9.98584181e-03 -9.87443980e-03 -1.61756948e-03 1.66282967e-01 -2.60759785e-04 -1.63123216e-02 1.17560357e-01 2.13602707e-05 2.30101030e-02 -3.72233242e-03] Cos Similarity tf.Tensor(0.13358374, shape=(), dtype=float32) (128,) (128,) [-2.03642309e-01 -1.28861338e-01 -9.85842012e-03 -1.62015706e-01 -1.94125902e-02 1.32222638e-01 1.08531371e-01 -7.99618736e-02 3.57245398e-03 5.51679591e-03 9.75391045e-02 -2.29479223e-02 -3.35922511e-03 5.15131615e-02 -3.06192804e-02 2.93865725e-02 -1.81933073e-03 7.37724379e-02 -2.76354402e-02 1.16289973e-01 -2.33106762e-02 -5.99193573e-02 8.98869336e-03 1.96617655e-02 -3.00493427e-02 -1.59443798e-03 2.15677574e-01 -2.00718865e-02 1.87022954e-01 1.71781778e-01 -1.77359700e-01 2.01674521e-01 -5.65315131e-03 -6.01681927e-03 9.57008600e-02 8.68627429e-03 -1.02433376e-02 1.64551288e-01 9.14409943e-03 -8.63498002e-02 2.02868491e-01 -2.34724279e-03 -8.48142058e-03 1.04221376e-02 -1.31597564e-01 -2.04127833e-01 1.46932200e-01 -1.27360700e-02 2.14527454e-03 8.26688111e-03 3.48410080e-03 2.67740176e-03 -5.16593270e-03 2.82841362e-03 -1.41179767e-02 4.12787870e-03 -2.01618776e-01 -8.14904831e-03 3.39929480e-03 -1.08769694e-02 9.87709314e-02 2.15920936e-02 1.77279070e-01 1.65297723e-04 1.26723543e-01 -1.49983272e-01 -1.97600257e-02 -1.71530649e-01 -2.27765758e-02 1.59765556e-02 -4.05324018e-03 -1.11913607e-01 -9.69698559e-03 5.90866338e-03 -5.05338330e-03 1.38796237e-03 -1.27247587e-01 1.26064569e-01 3.60197504e-03 -8.71831328e-02 -1.13179209e-02 4.20921296e-02 -1.64746251e-02 -1.67449117e-02 1.36436597e-01 9.77231711e-02 -3.42413597e-02 1.00750737e-02 -5.14283730e-03 1.56101525e-01 -1.75177395e-01 1.10994875e-01 -3.72736268e-02 4.18765936e-03 7.63547467e-03 7.53350044e-03 7.68048391e-02 7.16673210e-02 1.82785746e-03 -1.82385802e-01 6.43569008e-02 -1.65051669e-01 -2.92723048e-02 -2.17315853e-01 -1.09534357e-02 -1.90053955e-02 -4.47632000e-02 1.87443141e-02 -8.45774077e-03 2.12470498e-02 -4.95813265e-02 1.27143323e-01 -1.28411343e-02 -3.94057631e-02 -4.54644039e-02 -4.56865784e-03 -3.32914367e-02 2.95441365e-03 6.34272620e-02 -1.94274466e-02 -1.10477442e-03 -6.28935471e-02 -1.33114005e-03 -1.52045675e-02 -8.76990184e-02 4.92417626e-02 1.22976303e-01 -2.05807369e-02] [-1.17167808e-01 -1.38524443e-01 -1.73966028e-02 -1.54564694e-01 -1.74660888e-02 1.40687674e-01 8.75282213e-02 -1.64098218e-01 2.74332101e-03 -1.10587571e-03 1.03136145e-01 -2.39764713e-02 -9.39007849e-03 -1.57523397e-02 -2.89221294e-02 2.27734298e-02 6.37105061e-03 5.52237295e-02 -1.91592854e-02 7.40836337e-02 5.88808535e-03 -6.62664324e-02 -3.34223472e-02 7.97403790e-03 -3.04993466e-02 -1.15145347e-03 2.13713795e-01 -1.53858084e-02 1.93801045e-01 1.73793167e-01 -1.88171729e-01 1.86415613e-01 -1.11445936e-03 8.73975281e-04 4.55476269e-02 9.24393721e-03 -1.92574486e-02 1.78936124e-01 3.73497838e-03 -7.15348944e-02 2.06300840e-01 -7.44245714e-04 -1.04613816e-02 4.90871677e-03 -1.55777454e-01 -2.18481481e-01 1.52616024e-01 3.68805416e-03 5.13248611e-03 3.69686563e-03 7.39405584e-03 -2.68183928e-03 -1.90581772e-02 3.07811378e-03 -1.26600219e-02 -2.30778148e-03 -2.04222098e-01 1.68744510e-03 4.52463096e-03 -6.63882960e-03 1.09059520e-01 2.31847111e-02 1.55867949e-01 6.43810607e-04 1.22542433e-01 -1.54042006e-01 -1.26444977e-02 -1.71363011e-01 -3.24126333e-02 8.84474069e-03 -8.58241320e-02 -4.91106398e-02 -7.49078440e-03 7.52598373e-03 -1.14580477e-02 5.31630870e-03 -1.23159334e-01 1.10009409e-01 6.78697834e-04 -9.17331055e-02 -1.16345221e-02 4.67793159e-02 -1.64045598e-02 -1.63643900e-02 1.29667729e-01 1.13781199e-01 -8.56872946e-02 -3.85520607e-03 -3.44550656e-03 1.59873903e-01 -1.72623843e-01 1.34735256e-01 -2.66420860e-02 3.18511762e-03 -1.21371052e-03 -2.72972398e-02 1.15857497e-01 1.08335912e-01 3.31978546e-03 -1.93749249e-01 6.97056651e-02 -1.64375186e-01 4.10050526e-03 -2.04012945e-01 -1.53414626e-02 -5.42561989e-03 -2.04927623e-02 2.34711152e-02 -4.88975178e-03 5.69300214e-03 -6.81323856e-02 4.39687669e-02 -1.88858937e-02 -4.54678247e-03 -3.68806906e-02 2.07045861e-02 -5.14990278e-02 -6.71188720e-03 5.35114035e-02 -1.97568722e-02 8.06091630e-05 -5.59921972e-02 1.11825932e-02 -1.80605948e-02 -1.16419107e-01 5.26165143e-02 1.28563374e-01 -2.00003814e-02] Cos Similarity tf.Tensor(0.9683239, shape=(), dtype=float32) (128,) (128,) [-0.19916868 0.05216433 -0.02953445 -0.08052636 0.01767798 0.05885752 0.03934609 0.11409952 -0.01851048 0.00519197 0.05703428 -0.01823607 0.00477799 -0.08563914 0.13336939 0.10883461 0.02157612 0.0446809 -0.10657649 -0.02456655 -0.03631135 -0.16536665 0.14604202 -0.00069753 0.01666624 0.00501316 0.04831916 -0.00155082 -0.19701466 -0.19237563 0.10000972 0.16228457 -0.01341003 -0.01295965 -0.10503391 -0.02365032 0.03675759 0.18951233 -0.01658018 0.15357012 0.044872 0.02516064 -0.0112271 -0.00953854 -0.18001838 0.21408585 0.06391136 0.00232123 0.0137398 0.00818393 0.01733067 0.00491513 0.02592135 0.00723146 0.00951615 0.02252091 -0.03336234 -0.0170152 0.01477818 0.01559139 -0.0572831 -0.03545482 0.14153345 0.0089386 0.03278829 0.21337609 -0.00978895 -0.16814433 0.00935711 0.00261355 -0.1195938 -0.07253658 0.00579402 0.00072269 0.01479153 0.00279673 0.04364259 0.1811962 -0.00190236 -0.20556137 -0.01848074 0.02865414 0.00966121 -0.18827105 -0.02275628 0.19357282 0.08149895 0.01377204 0.02448585 0.18655875 0.1463772 0.03193393 -0.0058396 0.03310641 0.01600588 -0.14535451 0.19756898 0.18759325 0.00269876 0.12990075 -0.07632512 -0.00529044 0.08019354 -0.13407353 0.01667197 0.00533433 -0.0494226 -0.00671055 0.00583851 -0.01645198 0.0802625 0.08130347 0.00164794 -0.00792221 -0.01392256 0.08649208 0.06472991 0.00397617 0.06349048 0.02838043 -0.00551446 -0.00301429 0.03128896 -0.01496927 -0.16534169 -0.05511496 -0.07336071 0.00049556] [-2.14083493e-01 -1.05517916e-01 5.84279932e-02 -4.41460982e-02 4.60395589e-03 8.02227333e-02 -4.15422656e-02 1.79935634e-01 4.19657538e-03 6.55389763e-03 -8.65923315e-02 -1.43270129e-02 -1.33133512e-02 -9.14767161e-02 -1.92321576e-02 -3.22348252e-02 1.48121323e-02 -1.00565419e-01 -2.40531385e-01 -1.22844480e-01 1.04071908e-01 -5.08581363e-02 -1.35045439e-01 1.54698202e-02 1.91354044e-02 1.65911973e-03 1.97401285e-01 1.95124615e-02 -1.53076842e-01 -4.39912342e-02 5.96456937e-02 -1.67505294e-02 -3.37002659e-03 -3.47488304e-03 -5.72600104e-02 -8.35783593e-03 -6.65132422e-03 2.24584252e-01 7.28029234e-04 1.05131648e-01 1.55667305e-01 3.80965532e-03 -1.06787356e-02 -5.32240560e-03 -1.30879566e-01 2.36258477e-01 3.57857160e-02 1.70030277e-02 1.50494194e-02 1.44096194e-02 4.40614158e-03 5.83952339e-03 1.20851891e-02 5.31602604e-03 7.86595047e-03 1.47821105e-04 1.27329901e-01 -8.91297217e-03 1.32738929e-02 -9.57819354e-03 1.41970336e-01 6.15080856e-02 -2.47207247e-02 -2.00085286e-02 -1.03056729e-01 5.55870049e-02 -1.71249954e-03 -1.77297220e-01 2.20392738e-02 5.75646583e-04 -1.16990671e-01 -3.07481978e-02 -2.67087156e-03 6.34745555e-03 4.68424894e-03 1.01111578e-02 1.51167452e-01 1.16862975e-01 3.74870398e-03 -2.18560725e-01 7.82077434e-04 -1.76936984e-02 8.89937859e-03 -1.18133299e-01 -2.63364278e-02 1.00831538e-01 8.38729590e-02 1.16469879e-02 1.00971814e-02 1.69182196e-01 -3.00449245e-02 -7.98182189e-02 -1.07703321e-02 1.56593360e-02 3.01431417e-02 -1.84085399e-01 1.65422186e-01 -1.48325652e-01 5.69745293e-03 2.12426409e-01 1.89565346e-01 1.25470862e-01 7.72010535e-02 -9.80717130e-03 1.81446318e-02 2.02773754e-02 -1.24821357e-01 -9.42749716e-03 1.62506383e-02 8.18573982e-02 -3.03429738e-02 1.69355690e-01 4.99976426e-03 9.57152434e-03 -7.11037815e-02 5.20775914e-02 3.87604199e-02 -1.13782808e-02 1.84752271e-02 1.16397617e-02 -3.38469725e-03 5.62705547e-02 2.47964412e-02 -3.03929392e-02 -9.59026515e-02 -4.64753844e-02 -9.82861593e-02 5.07455040e-03] Cos Similarity tf.Tensor(0.5588021, shape=(), dtype=float32) (128,) (128,) [-5.58201298e-02 1.22052044e-01 -1.61389485e-02 1.68630388e-02 -2.47280430e-02 1.05896711e-01 -2.64249984e-02 -2.43228599e-01 -1.22331763e-02 2.04298645e-03 -6.59285560e-02 -1.10475952e-02 2.10044384e-02 -5.09949885e-02 2.06327587e-02 4.29306924e-02 1.15726970e-03 1.70647487e-01 6.26123026e-02 -7.29516447e-02 5.53816147e-02 -7.99474642e-02 2.00609475e-01 -4.45675217e-02 9.48733091e-03 2.24872329e-03 1.46103784e-01 -4.42691520e-03 1.34787664e-01 -9.94618908e-02 -1.79694876e-01 2.04820648e-01 -1.34546952e-02 8.19039159e-03 4.24714945e-02 -2.71048234e-03 -6.60469197e-03 -8.36059302e-02 -1.19300503e-02 -1.01462394e-01 -1.94012001e-01 -4.65604418e-04 -6.92931935e-05 -4.02509468e-03 -9.07275081e-02 1.46399647e-01 -7.64833465e-02 1.25245387e-02 1.44623956e-02 2.33047437e-02 8.83116387e-03 -8.76926468e-04 -1.01478808e-02 2.86398409e-03 -1.40999742e-02 6.96640491e-05 -3.02443393e-02 8.54031835e-03 5.93234971e-03 -8.53797980e-03 -7.90981948e-02 -7.36135468e-02 1.06447473e-01 -2.41028471e-03 -8.13583955e-02 -1.16482088e-02 -2.19038874e-02 -6.94259405e-02 -1.80450846e-02 1.73376918e-01 -8.64460021e-02 1.62692502e-01 2.15372723e-03 7.69564742e-03 -2.70299660e-03 1.28177265e-02 -1.27702996e-01 6.84411749e-02 -8.34493339e-03 -1.96371704e-01 -6.70379959e-03 7.04235677e-03 -4.81036585e-03 -1.29284948e-01 -2.01910004e-01 1.37550384e-01 -4.70620058e-02 2.24753702e-03 -2.81698041e-04 1.14529252e-01 2.01800335e-02 1.69186220e-01 -6.18367735e-03 7.36930966e-03 3.94835253e-04 7.59595037e-02 -4.44521643e-02 -2.22731173e-01 3.02044838e-03 1.54815137e-01 5.46128340e-02 8.19698796e-02 1.42985985e-01 2.24020109e-01 -1.01206463e-03 -5.80314547e-03 2.37181231e-01 2.85675880e-02 5.64338081e-03 -1.64483309e-01 -5.89054078e-03 1.28867999e-01 -7.48354616e-03 -4.03850339e-02 -7.24268192e-03 -1.30032003e-01 1.27814993e-01 -1.78998488e-03 -1.00077257e-01 -5.49560995e-04 -1.13727329e-02 1.04093477e-02 2.03028340e-02 -3.25447433e-02 -1.94054097e-02 1.86805148e-02 2.55939718e-02 -9.50210169e-03] [-6.72473013e-02 1.14519119e-01 3.56714204e-02 2.89110541e-02 -1.46218305e-02 -8.37387815e-02 -7.17368498e-02 -2.01291293e-01 -9.71067604e-03 9.03109089e-03 -1.90907151e-01 -2.97555625e-02 2.14988813e-02 -8.28442425e-02 6.84453845e-02 -4.20627519e-02 3.01307708e-04 3.46017107e-02 1.68823972e-01 -2.09853183e-02 6.80705160e-02 -1.91095844e-01 1.53698921e-01 -1.97685864e-02 8.77153222e-03 3.26067931e-03 1.61470816e-01 -3.84301320e-02 1.28748462e-01 -3.33489925e-02 -1.99596047e-01 1.70216843e-01 -4.19002306e-03 3.87903745e-03 4.63660136e-02 -2.67107273e-03 8.06078780e-04 -1.34349182e-01 -1.19477278e-02 -9.59477276e-02 -6.81056380e-02 3.76525754e-03 -4.17351443e-03 5.60452184e-03 -5.56704141e-02 1.94345444e-01 -1.30603435e-02 -2.42699939e-03 1.20749278e-02 1.84769593e-02 1.30945230e-02 6.22712105e-05 1.46634251e-04 6.57264981e-03 3.67804896e-04 1.62315164e-02 2.62911953e-02 -1.61315675e-03 8.06115288e-03 1.90054893e-03 -4.18618359e-02 -1.73623338e-01 1.31213546e-01 3.13145877e-03 -8.11103135e-02 9.06815403e-04 -1.91517659e-02 4.32044193e-02 -5.77550661e-03 1.32395223e-01 -6.28691241e-02 9.49046463e-02 3.47185531e-03 -3.04744486e-03 -1.56769960e-03 4.02437989e-03 -1.37386158e-01 5.64905740e-02 -2.37038964e-03 -1.19164921e-01 -1.17254825e-02 4.56132228e-03 4.63957898e-03 -1.03960507e-01 -1.83281362e-01 1.50779992e-01 -7.11170137e-02 1.07016740e-02 2.44530966e-03 1.49688751e-01 7.46843740e-02 1.92569628e-01 1.04212994e-02 1.16488412e-02 -2.02056137e-03 1.70817733e-01 3.34090889e-02 -1.83178633e-01 -5.10589732e-03 1.04570538e-01 6.56963661e-02 3.17260139e-02 7.30683208e-02 2.03730032e-01 2.80810590e-03 -6.70290925e-03 2.15395778e-01 1.58838499e-02 4.96826461e-03 -1.99880913e-01 3.23859788e-02 -6.42794371e-02 -2.80751986e-03 2.17427462e-02 3.03458329e-02 7.60429427e-02 1.42533451e-01 -3.37735779e-04 1.65562436e-01 -2.29271743e-02 -6.26647437e-04 1.05792634e-01 1.84697397e-02 -2.97115669e-02 -1.94375008e-01 4.01708186e-02 2.50812415e-02 -1.67230163e-02] Cos Similarity tf.Tensor(0.7861159, shape=(), dtype=float32) (128,) (128,) [ 3.32285976e-03 -1.59762383e-01 3.47341634e-02 -1.41108796e-01 -2.98328958e-02 -1.35454327e-01 -1.41684905e-01 1.27634361e-01 -5.75683545e-03 6.95225270e-03 -1.03951044e-01 -1.93841998e-02 1.09974174e-02 -1.29278272e-01 1.97066162e-02 9.41631421e-02 3.66396853e-03 8.64521712e-02 8.11675638e-02 8.51497278e-02 -1.49674967e-01 1.33009702e-01 -4.55935933e-02 -1.35382742e-01 -1.41268913e-02 1.03183230e-02 1.47392184e-01 7.19159667e-04 1.38658613e-01 -2.57244473e-03 -1.59669518e-01 1.14071108e-01 1.44157570e-03 1.15750553e-02 1.76653042e-01 9.69308242e-03 -7.53217470e-03 9.50916260e-02 -5.47881064e-04 9.92618874e-02 1.74099877e-01 8.06551892e-03 9.54378556e-05 2.16202028e-02 -1.65656116e-02 1.50943875e-01 -1.31281704e-01 7.47272186e-03 1.17328167e-02 1.35755930e-02 1.86347088e-03 2.02988827e-04 -1.32138943e-02 7.89417792e-03 -2.68455944e-03 7.70359160e-03 1.83057889e-01 -4.97525267e-04 7.21421372e-03 -8.48305691e-03 -1.86744297e-03 -1.75021425e-01 4.64775600e-02 1.15073845e-03 1.64987341e-01 -1.69558182e-01 5.42381033e-03 1.26465663e-01 -1.57211721e-02 1.67092711e-01 -3.03009674e-02 -9.93099138e-02 -4.02163016e-03 6.59897784e-03 -2.63352762e-03 1.01841465e-02 8.96042772e-03 -1.10628314e-01 1.98051496e-03 4.94820252e-02 -1.65977457e-03 4.32961248e-03 1.37714250e-02 -1.72904152e-02 1.79061338e-01 5.69159314e-02 6.71239197e-02 5.60762826e-03 -3.66535154e-03 3.90105061e-02 9.81702060e-02 -1.24275357e-01 -1.02985452e-03 1.87573128e-03 1.47745863e-03 1.52737468e-01 -3.56113464e-02 -1.66853443e-01 1.17101801e-04 5.85040003e-02 1.82099819e-01 1.21924289e-01 1.29247144e-01 1.27678141e-01 -1.96661730e-03 -9.70077701e-03 1.64106995e-01 4.99054370e-03 -1.96143193e-03 1.47668645e-01 9.57231522e-02 1.62286133e-01 -9.89147741e-03 -5.95425814e-02 -5.29549681e-02 1.65752262e-01 -1.64480388e-01 -1.95204336e-02 1.00774035e-01 -1.20787239e-02 -6.44491008e-03 7.75848925e-02 1.47085981e-02 -8.71995836e-03 -8.82431418e-02 -6.08244427e-02 -8.08806643e-02 9.98300500e-04] [ 9.21848416e-02 -1.15934782e-01 3.46063338e-02 -1.11818701e-01 -3.39943469e-02 -7.59249553e-02 -1.39653593e-01 1.81448206e-01 -5.82379615e-03 -1.04333751e-03 -9.96424481e-02 -1.89606566e-02 2.16538180e-03 -1.64850399e-01 -1.52845774e-02 1.99149013e-01 -3.68895871e-03 1.82900026e-01 1.28380030e-01 1.49204910e-01 -1.47561088e-01 -2.12101545e-02 5.13456576e-02 -8.88386220e-02 -1.07917897e-02 8.00987892e-03 1.32258341e-01 -1.37189543e-02 1.34798095e-01 1.14909351e-01 -1.91257834e-01 1.05798513e-01 -8.89576133e-03 -3.91815696e-03 1.69891715e-01 7.03673158e-03 -6.99502043e-03 1.85674820e-02 -4.84799501e-03 -1.24667501e-02 1.93802416e-01 6.31819665e-03 -4.33037244e-03 1.02543095e-02 -7.43054673e-02 9.68759283e-02 -2.48204675e-02 -1.42044574e-03 9.52756032e-03 1.18509866e-02 4.98439511e-03 -2.56058265e-04 -1.95786413e-02 4.45787096e-03 -3.55734420e-03 9.88456048e-03 1.75747588e-01 6.17086329e-03 8.33920494e-04 -1.28579363e-02 -9.63434950e-02 -1.19864568e-01 -1.15449071e-01 -4.68905549e-03 8.23713616e-02 -1.72076881e-01 -1.65327732e-03 7.11891651e-02 -3.20582166e-02 1.76242501e-01 2.51328629e-02 -5.32060340e-02 -1.86141743e-03 5.10620326e-03 -5.41910063e-03 1.39794014e-02 -1.02297232e-01 -3.14128920e-02 -5.14228502e-03 -2.57964544e-02 -4.13641473e-03 1.69306947e-03 8.31748638e-03 -6.21239394e-02 1.36841103e-01 1.58871248e-01 -1.22690581e-01 4.24500974e-03 -7.49578374e-03 -1.14522085e-01 -8.11659843e-02 -6.22509867e-02 -1.38977142e-02 -4.94526513e-03 -1.25445798e-02 1.01951152e-01 -1.21084198e-01 -1.70332655e-01 1.01786829e-03 1.66973054e-01 1.61153361e-01 1.23720720e-01 7.43690804e-02 1.45240366e-01 -5.43980626e-03 -1.12771904e-02 1.71611488e-01 -6.06206665e-03 -8.32236931e-03 1.31107599e-01 9.52204615e-02 9.11109671e-02 1.48693667e-04 -9.09594297e-02 5.54203279e-02 1.62473649e-01 -5.33815324e-02 -2.39674933e-02 1.46762758e-01 -2.51523722e-02 -5.10355178e-03 5.69788227e-03 9.95593797e-03 -8.05822946e-03 -1.38574541e-01 -2.06100959e-02 -1.52909327e-02 -6.27900939e-04] Cos Similarity tf.Tensor(0.80254936, shape=(), dtype=float32) (128,) (128,) [-0.02134751 -0.07558009 0.05612618 -0.1112195 -0.01225371 0.02741732 -0.17855227 0.05117799 -0.00371798 0.02093242 -0.17135334 0.06260228 0.04312253 0.00200417 0.08077762 0.03111708 0.05206987 0.0760314 0.15835351 0.10115363 -0.13968663 -0.11451001 -0.1340341 0.02874241 0.06089219 -0.00079796 0.17719494 -0.00407232 0.04561858 0.05281606 -0.19394347 0.16044334 0.00761533 0.07700256 -0.08448911 0.04034978 0.05211416 -0.05524871 -0.05229838 0.04605555 0.10240053 -0.00073137 0.02182944 0.01918822 -0.13109675 -0.08876517 -0.07621296 0.03190251 0.03769401 0.04659612 0.04272776 0.0194525 0.06441709 0.02685934 0.04324883 0.02911884 -0.12019596 0.01425434 0.06060031 0.01181686 0.1589679 -0.16402563 0.15400991 0.05539011 -0.06377582 0.03646098 0.01702467 0.12320301 0.03007245 -0.15599433 0.13269863 0.10154734 -0.02721294 0.03227808 0.04016203 0.01811558 0.07524451 0.10912038 -0.03169888 -0.00312841 0.02522963 -0.00828752 0.02905601 -0.00942491 -0.16020465 0.13472793 0.00394525 0.02709141 0.01615322 -0.00899222 0.0809269 -0.02010418 0.01223398 0.04775175 0.06373796 0.18797082 -0.01730071 -0.15259705 0.01987482 0.16194022 0.19057351 -0.14642501 -0.00785697 0.16159663 0.02420944 0.04223173 0.18362804 -0.01142449 0.05518559 -0.16763748 -0.17371088 -0.03847802 0.04160706 -0.04158908 0.03019681 0.14239766 0.06874496 -0.00656069 0.15971667 0.08243524 0.06008343 -0.03361986 0.05487112 0.00398409 -0.15689948 0.05362568 -0.00065426 0.00625159] [-1.6460402e-01 -5.7143301e-02 -2.6570948e-02 9.0698883e-02 -4.0057138e-02 -1.3093680e-01 -1.3310426e-01 -2.0381521e-01 2.3281961e-03 -7.4986317e-03 1.6653845e-01 4.6544508e-03 1.7529940e-03 -2.6092188e-02 -7.0663154e-02 -6.2703572e-02 -1.4904578e-03 -1.6651370e-01 -1.7655326e-01 -1.5835335e-02 -1.7621894e-01 -1.7282206e-01 -1.4373589e-01 2.5736347e-02 -2.1429922e-02 1.2880756e-03 1.3904667e-01 -4.2144973e-03 7.8818783e-02 5.7073079e-02 -2.3660761e-01 1.3179220e-01 6.1764492e-04 5.2810581e-03 -1.5003905e-01 6.9427844e-03 -1.1389325e-02 8.9642555e-03 6.7276582e-03 1.1608380e-01 -4.9567692e-02 -9.5586479e-03 1.0238496e-03 9.2617264e-03 -1.5142164e-01 -3.0708080e-02 1.8456045e-01 3.5220708e-03 8.8182613e-03 1.4846452e-03 4.4189407e-03 1.8387759e-04 -1.3787533e-02 4.3975865e-03 -1.1988325e-02 -3.9368984e-03 3.1178640e-02 -6.2665122e-04 2.1647776e-03 -8.2549741e-03 1.1505043e-02 -3.6130853e-02 1.5863296e-01 -1.3752717e-02 -1.7419349e-01 9.2660107e-02 -1.3920334e-02 -2.0506638e-01 -2.3314800e-02 8.4344059e-02 3.4743972e-02 1.5376003e-01 -3.8203797e-03 5.0877579e-03 -9.2569031e-03 1.7691839e-03 1.4503160e-01 1.7998364e-02 -3.7771496e-03 -4.7687411e-02 -9.1987364e-03 -8.4772080e-02 -1.7498778e-03 7.0103556e-02 7.2679684e-02 4.6249256e-02 -7.5209945e-02 3.8155557e-03 -5.6831646e-03 1.4776775e-01 2.5191305e-02 -7.4366517e-02 -1.4607740e-02 4.5148237e-03 -9.5612016e-03 1.4978044e-01 -6.2502841e-03 8.7370448e-02 -7.0888898e-03 5.2648365e-02 -1.4130639e-01 -3.6192802e-03 1.3321739e-01 2.0859323e-01 -8.3735520e-03 -8.7735513e-03 -1.6845521e-01 -1.4547333e-03 2.6934284e-03 7.8445330e-02 -6.2631160e-02 1.8806541e-01 -7.6802871e-03 -2.7818613e-02 7.0716175e-03 5.1366545e-02 -1.4367296e-01 -1.3313205e-02 -1.9633116e-01 -1.0861128e-02 4.5921090e-03 1.5329227e-01 1.0117067e-02 -1.4639799e-02 2.0624660e-02 2.2592690e-02 -9.3296692e-02 -1.7800996e-02] Cos Similarity tf.Tensor(0.09018658, shape=(), dtype=float32) (128,) (128,) [ 0.147364 -0.0636592 0.08323376 -0.17915833 -0.00706181 -0.00049445 0.19213073 0.18996434 -0.01725291 0.00214307 -0.18254039 0.01390902 0.01261632 0.15767206 -0.0473224 0.12027078 0.00843593 0.04951999 0.04496732 0.0345425 -0.01592399 -0.16510421 0.17341387 -0.00435143 -0.00308796 0.01489545 0.20158066 -0.00378702 -0.21382326 -0.17255771 0.0445914 -0.09862944 -0.00247155 0.02306821 0.1373076 -0.00906815 0.01703093 0.09901345 -0.02224491 0.07732648 0.2126102 0.00606939 0.00117581 0.00363662 0.13839671 0.20012994 0.17126928 0.00440398 0.00689122 0.01341607 0.0031061 0.0103618 0.01226586 -0.00304711 0.01513414 0.02084742 -0.03727743 -0.00639724 0.00085163 -0.00277106 -0.03600559 -0.05812416 -0.17185579 0.00330455 -0.10971382 0.11172654 0.00353789 0.12284354 0.00132856 0.10405383 0.16188395 -0.14058322 0.00631516 0.01473794 0.00766272 0.02207131 0.03082087 -0.04221113 0.00068309 -0.05090915 -0.01751398 -0.04354076 0.00855757 -0.02232406 -0.07452141 0.16250817 -0.09313031 0.0095915 -0.00644068 -0.03247466 -0.0840705 -0.00477925 0.00785718 0.02376859 0.01446278 0.1311935 0.05882267 -0.14971888 -0.01231855 0.146557 0.01796027 0.06390861 0.1727644 0.15157285 -0.01152433 -0.0024517 -0.13905318 -0.00845641 -0.01902008 0.1885158 0.03138356 -0.01183957 0.00167923 0.13180143 -0.00735239 0.09668674 -0.03024425 -0.01800511 0.01721763 -0.02725048 0.00147555 0.15694338 0.00673521 -0.01160539 0.01079826 0.02922968 -0.00365198 -0.00724443] [-1.54507235e-02 1.31724924e-01 -1.07296249e-02 -5.05838282e-02 -9.93458182e-03 6.44083172e-02 1.03678145e-01 -2.01093972e-01 1.35160312e-02 9.71696246e-03 -1.35577798e-01 -4.29996587e-02 1.72110833e-02 -1.21361084e-01 7.61823133e-02 1.45776585e-01 1.17806159e-02 -9.96588320e-02 2.78590638e-02 5.02519943e-02 1.51802436e-01 -1.84591785e-01 6.92941248e-02 6.37775287e-02 3.62586565e-02 2.45038117e-03 1.51287943e-01 -2.75658518e-02 3.23694129e-03 -3.61108668e-02 -2.54733622e-01 2.49137208e-02 6.03491813e-03 -5.96813764e-03 1.28910830e-02 -1.99944386e-03 1.93469450e-02 -3.32286358e-02 -5.75829716e-03 -4.51089665e-02 1.12440288e-01 3.12624313e-03 -1.24532823e-02 2.05956083e-02 -4.00149301e-02 -1.56540662e-01 4.62304242e-02 6.62888074e-03 2.04192195e-02 9.07041971e-03 3.91813694e-03 8.71707685e-03 1.64906196e-02 9.91740916e-03 2.41682045e-02 1.54851079e-02 -7.08755925e-02 -1.02446256e-02 -1.07308999e-02 -1.44276759e-02 -2.67717261e-02 -1.07892796e-01 1.54539958e-01 -2.06690151e-02 7.30524287e-02 7.50180930e-02 -2.31883731e-02 2.19984099e-01 2.50540138e-03 -5.12534045e-02 -6.27401145e-03 1.65355027e-01 -2.48364708e-03 5.06980158e-03 2.08995794e-03 1.34496950e-02 1.28378496e-01 9.80666131e-02 -1.32292428e-03 -1.43873394e-01 -6.83208462e-03 7.73201510e-02 3.60231241e-03 -1.74619332e-01 8.41294304e-02 1.79886788e-01 -2.58640870e-02 2.03113742e-02 1.83840853e-03 8.25315490e-02 -3.25628705e-02 1.62255794e-01 1.09315263e-02 6.13352936e-03 4.82044416e-03 2.39383802e-01 1.34052053e-01 -8.85721296e-02 6.04683487e-03 -4.00982648e-02 -8.80285427e-02 1.97579816e-01 7.44297802e-02 -5.81124313e-02 1.48729305e-03 -2.12716628e-02 1.77916884e-01 9.57030430e-03 1.28579764e-02 -1.41004562e-01 3.67835946e-02 -7.70310685e-02 1.90067990e-03 -1.04323260e-01 -1.05275214e-02 1.90318644e-01 1.39436871e-01 3.18034575e-03 1.77280530e-01 -2.31215749e-02 3.35299155e-05 1.92747429e-01 1.08042173e-02 -2.59620231e-02 -6.12877682e-02 5.16045913e-02 9.82851386e-02 -1.82669610e-02] Cos Similarity tf.Tensor(0.11195116, shape=(), dtype=float32) (128,) (128,) [-1.66784033e-01 4.11580456e-03 -8.79619196e-02 1.04319461e-01 -8.20374861e-03 2.89656427e-02 9.57463831e-02 2.42402535e-02 -9.66897886e-03 -8.66361894e-03 9.41621065e-02 -2.41530817e-02 5.41663170e-03 9.98515543e-03 8.25320464e-03 1.55246228e-01 -6.89625461e-03 1.14694752e-01 1.10850623e-02 -2.18866795e-01 -5.03423251e-03 -8.27593654e-02 1.35446964e-02 3.52367833e-02 1.43710990e-02 4.85937623e-03 -1.40681505e-01 6.63541211e-03 -1.67288989e-01 -1.58245325e-01 6.22417703e-02 -1.84618011e-01 3.88576393e-03 -5.09981066e-02 -9.28081423e-02 4.85425768e-03 8.41966923e-03 1.01404682e-01 -1.32884979e-02 -2.82549474e-04 1.70052081e-01 5.16376039e-03 -6.27209805e-03 -1.49000259e-02 2.94032339e-02 8.20796713e-02 2.60997899e-02 -9.34366416e-03 4.54401178e-03 1.07340077e-02 3.92768672e-03 1.60046406e-02 -1.49113196e-03 4.64161346e-03 -3.98716744e-04 9.26813018e-03 9.56110507e-02 -1.30556314e-03 -9.05373879e-03 3.67048034e-03 4.18667383e-02 1.47535384e-01 2.04031914e-02 -8.26287642e-03 -5.56216091e-02 1.02905415e-01 -8.96020140e-03 -1.27768377e-03 -5.25174476e-03 -1.54351264e-01 1.69364214e-01 -1.63384870e-01 1.32763665e-02 2.17736978e-03 -5.88960620e-03 -1.03981839e-02 -1.70494482e-01 9.29832086e-03 1.35897112e-03 -1.32582888e-01 -2.57081129e-02 -8.69651735e-02 -7.18738232e-03 1.06911100e-01 1.27178416e-01 -1.62786260e-01 -1.56323031e-01 7.34816119e-03 -1.39149586e-02 -1.65433623e-02 -3.77145526e-03 1.51322082e-01 -3.07714604e-02 5.51619893e-03 7.13410927e-03 -2.24227205e-01 1.81797035e-02 -8.65430385e-02 -1.63724166e-04 1.10282019e-01 1.60203159e-01 1.48644283e-01 1.48720875e-01 1.87053427e-01 5.30442549e-03 -1.23316208e-02 1.81750864e-01 7.99111277e-03 -2.31946260e-02 1.30221412e-01 1.74998388e-01 4.01386805e-02 2.24490231e-03 -9.17540118e-02 1.55160010e-01 -1.48244828e-01 -6.99529499e-02 1.58835277e-02 1.64902553e-01 7.37446966e-03 -9.38951038e-03 1.87414765e-01 5.89696551e-03 -7.10882246e-03 1.36650056e-02 3.29011753e-02 -4.83422503e-02 5.50850062e-03] [-1.70773670e-01 -5.28962389e-02 1.92931402e-04 5.77617697e-02 4.74632997e-03 3.56264301e-02 1.66441604e-01 1.55844614e-01 -6.69421570e-04 -3.59468418e-03 1.24411300e-01 -2.50372346e-02 -9.40805674e-03 -5.33691188e-03 5.61920665e-02 8.59546140e-02 1.63844880e-03 1.70197457e-01 6.96828067e-02 -2.07381427e-01 8.00764281e-03 -9.78754601e-04 -1.24965459e-02 1.84137195e-01 6.74512843e-03 1.47505046e-03 -6.67996854e-02 4.77480795e-03 -7.95585737e-02 -9.20316353e-02 6.14030212e-02 -2.19127774e-01 5.68372337e-03 -1.43319126e-02 -8.80395472e-02 5.95875876e-03 1.09223435e-02 1.15923602e-02 -1.03863534e-02 2.73141284e-02 1.93982244e-01 3.84177524e-03 -5.42100694e-04 -1.06342798e-02 3.80099714e-02 1.25213698e-01 6.49012253e-02 3.42108263e-03 7.66927097e-03 1.25948219e-02 4.05044714e-03 1.65228769e-02 1.71839725e-04 6.76189549e-03 -3.92535527e-04 4.80069546e-03 1.08971603e-01 -9.74479190e-04 -8.68537184e-03 4.80529293e-03 1.30686283e-01 1.15232058e-01 1.13532946e-01 1.28883235e-02 -1.92911342e-01 -6.22310909e-03 -2.33585737e-03 -7.34762102e-02 -8.91898107e-03 -2.14360669e-01 7.11773559e-02 -1.15074590e-01 5.43412240e-03 2.64873309e-03 -6.03271229e-03 -1.27401762e-03 3.02591291e-03 -3.61038628e-03 3.54928710e-03 -1.39531106e-01 -1.81920938e-02 -8.57733935e-02 -5.39384270e-03 1.96957901e-01 -4.29291092e-02 -1.19935058e-01 3.58062014e-02 7.42160436e-03 -8.25199299e-03 3.37323770e-02 -5.07862028e-03 -1.07356980e-01 -2.28820536e-02 1.02706738e-02 -5.17496746e-03 -1.91956684e-01 -2.15237260e-01 -6.62709475e-02 9.60288383e-03 1.81869358e-01 1.93191350e-01 -5.70866950e-02 1.39237866e-01 -1.46521881e-01 -2.71582953e-03 1.61610462e-03 2.13718966e-01 2.84080906e-03 -1.79859251e-02 1.51998952e-01 5.29106297e-02 7.65791759e-02 1.35911431e-03 -1.10491157e-01 1.05205573e-01 -1.44441381e-01 1.04911767e-01 1.03749642e-02 -1.46113206e-02 4.31016507e-03 -8.76400061e-03 1.91951647e-01 -6.36074087e-03 -6.52541732e-03 2.04319954e-02 2.43852735e-02 -2.88962685e-02 3.85311141e-04] Cos Similarity tf.Tensor(0.6698617, shape=(), dtype=float32) (128,) (128,) [ 1.04375936e-01 -6.94279280e-03 -8.88078436e-02 6.29633963e-02 -2.99089332e-03 1.24642484e-01 1.45108076e-02 2.37122655e-01 4.10675863e-03 -1.14456015e-02 1.64080247e-01 -1.06377369e-02 1.68106693e-03 -1.65816527e-02 -1.92384236e-03 1.56466126e-01 -4.42743162e-03 1.45829752e-01 -6.70024976e-02 -1.78319007e-01 1.53405473e-01 -1.00171015e-01 3.39636467e-02 5.50354123e-02 5.88343386e-03 -3.79359350e-04 -7.61448443e-02 -5.97014278e-03 -1.57575622e-01 3.42391096e-02 5.15332818e-02 2.51208507e-02 -6.32644072e-03 -2.87530273e-02 1.11577446e-02 -2.54575331e-02 -3.87876038e-03 -8.48393794e-03 -9.49049555e-03 2.86689471e-03 -1.15520045e-01 7.64456019e-03 -1.28310896e-03 1.22363977e-02 2.94831749e-02 7.26578385e-02 -1.64702088e-01 -7.64501747e-03 5.93131222e-03 8.01033806e-03 7.26173772e-03 -3.90305533e-03 -6.45551411e-03 1.41834817e-03 -5.32837911e-03 1.57814975e-05 1.77232221e-01 1.39115623e-03 -7.49551516e-04 -4.66965139e-03 1.18230807e-03 3.84550579e-02 1.66058093e-01 -1.90179776e-02 -4.44000736e-02 -1.00333504e-01 -1.85193177e-02 -3.95762967e-03 -1.75561570e-02 -1.38363704e-01 -2.21425027e-01 -1.02902301e-01 -3.85155506e-03 5.65569522e-03 -1.54432617e-02 5.04993694e-03 -3.01421378e-02 1.52331263e-01 7.43513519e-04 5.12330383e-02 -1.67336827e-03 1.27440691e-02 -2.89255590e-03 7.45379329e-02 1.74019277e-01 1.65598333e-01 1.38358876e-01 7.78241921e-03 -2.00972217e-03 3.79390195e-02 -1.70974493e-01 1.74310803e-01 -4.98184236e-03 5.72287897e-03 9.77024436e-03 -1.71148822e-01 -2.29695007e-01 1.12532049e-01 -5.80675341e-03 6.64136484e-02 -1.21581919e-01 1.00802027e-01 -2.23598748e-01 1.21191464e-01 -8.41096509e-03 -5.89423394e-03 -1.23836488e-01 -1.39200082e-02 -2.14637890e-02 2.18559146e-01 -7.74248391e-02 1.65016979e-01 -4.98536043e-03 1.01726793e-01 7.33058080e-02 1.63725555e-01 2.05968972e-02 -2.19634315e-03 -4.41484638e-02 -1.18351458e-02 5.75127034e-03 -1.10776462e-01 1.48612307e-02 -1.46723958e-03 -6.98050559e-02 8.77057202e-03 4.60643135e-02 -8.79607536e-03] [ 1.91892967e-01 5.42487018e-02 7.42145702e-02 1.56697214e-01 -1.17807358e-03 5.37056178e-02 -1.55064255e-01 1.83097780e-01 3.77804530e-03 -5.19053731e-03 1.23484232e-01 -5.47593320e-03 4.26985184e-03 -4.15670639e-03 1.59595143e-02 5.01398556e-02 -3.70914699e-03 4.54222299e-02 8.10909942e-02 -9.85589325e-02 1.94699511e-01 7.44918510e-02 -9.30128098e-02 1.11628026e-01 -9.53436771e-04 -2.34806072e-03 -1.87558174e-01 5.24215121e-03 -2.12054029e-01 1.33547843e-01 -1.08586989e-01 1.25417151e-02 -2.89537059e-03 -2.04393035e-03 1.69711515e-01 -1.22207198e-02 1.66520791e-03 9.88916382e-02 -1.99553953e-03 -1.07301377e-01 -1.68790102e-01 9.78703238e-03 -3.55301052e-03 1.56930275e-02 1.19176701e-01 4.84447405e-02 -1.60193160e-01 7.64502306e-03 1.68674334e-03 3.21025169e-03 1.90274650e-03 1.00595795e-03 -5.52344928e-03 -2.87555018e-03 -6.43585855e-03 7.46542634e-03 1.97496921e-01 1.08346983e-03 8.22519790e-03 -2.07889196e-03 1.16790168e-01 6.77167997e-02 1.20059974e-01 4.11111582e-03 8.88855979e-02 1.70759812e-01 -3.03901522e-03 5.31521216e-02 6.29820302e-03 -9.85157117e-02 -2.15484935e-04 1.12113640e-01 -6.93219807e-03 4.97943489e-03 -1.51341865e-02 1.48600778e-02 1.61857575e-01 1.16276093e-01 7.46558141e-03 2.15877853e-02 -7.43460841e-03 -9.76123963e-04 2.59282184e-03 1.66045740e-01 7.80676380e-02 1.47842035e-01 1.28186941e-01 -1.40140136e-03 1.47358282e-03 1.35981500e-01 -1.62345752e-01 2.85350550e-02 2.28926307e-03 9.59660579e-03 1.12623088e-02 -1.08989082e-01 -2.16592908e-01 -3.88822705e-02 -5.31520369e-03 1.14476420e-01 1.88514769e-01 1.79788083e-01 -2.16619134e-01 1.69133749e-02 -7.85129145e-03 1.47875492e-03 -1.69216499e-01 1.67144667e-02 -1.34438730e-03 3.49379629e-02 -2.22652871e-02 -6.58518821e-02 1.18730962e-03 -2.09801900e-03 1.71014816e-02 -2.68580765e-03 3.26693617e-02 -3.34897288e-03 5.35891242e-02 -5.61614661e-03 -6.86830282e-03 5.41740544e-02 1.59726795e-02 -9.68930032e-03 -9.15732086e-02 6.55391887e-02 -2.64387224e-02 3.33581772e-03] Cos Similarity tf.Tensor(0.5390661, shape=(), dtype=float32) (128,) (128,) [ 3.87465879e-02 2.10153520e-01 1.37051165e-01 1.78426847e-01 -1.17359404e-02 -2.60844547e-02 8.69101509e-02 -2.24395320e-01 2.86696886e-04 2.44444492e-03 -8.00408144e-03 1.07116746e-02 3.17861214e-02 1.03998080e-01 1.08335517e-01 -7.07485005e-02 -1.14341136e-02 1.35425135e-01 1.54225901e-01 -3.27144936e-02 -1.72070175e-01 -1.79123938e-01 1.67672008e-01 -9.23526883e-02 -3.24282725e-03 1.01327719e-02 1.84236184e-01 -6.85801590e-03 -1.45458907e-01 -1.86767280e-02 -1.63533315e-01 1.14998266e-01 2.12643389e-02 -2.36864085e-03 3.76225561e-02 -9.92656127e-03 1.34968245e-02 1.51671365e-01 3.46747506e-03 -7.75998309e-02 2.20732495e-01 -7.87459407e-03 7.31778704e-03 2.53035431e-03 -1.84177816e-01 -2.18332216e-01 1.66338496e-02 -2.37700436e-03 1.58705562e-02 -7.61894742e-03 8.66016466e-03 2.43473984e-03 4.81249648e-04 1.30483620e-02 1.60188254e-04 -1.62861974e-03 -2.20241249e-01 -5.38625638e-04 1.89895853e-02 4.50413255e-03 1.94373913e-02 -1.83293089e-01 9.88726988e-02 -2.09457278e-02 -3.93930189e-02 1.21405823e-02 -2.49696579e-02 -7.22744763e-02 2.32327264e-03 -1.83026884e-02 4.38938737e-02 -4.23930995e-02 -4.26640362e-03 -4.01458843e-03 2.90034153e-03 1.99496243e-02 1.04445070e-02 6.87493533e-02 -5.03730225e-05 1.12155266e-01 1.39237160e-03 -2.59811841e-02 1.80321094e-03 3.23690660e-02 9.37916189e-02 2.16691166e-01 -2.37784669e-01 1.24560148e-02 2.70408811e-03 8.55631903e-02 -4.01728638e-02 -3.26836072e-02 6.72988966e-03 4.37045004e-03 -2.45423596e-02 2.11529836e-01 -2.64280029e-02 4.46459055e-02 1.51704913e-02 6.10693246e-02 -8.59874338e-02 6.00901321e-02 2.65671425e-02 1.33794904e-01 7.95577932e-03 -2.15616915e-03 1.49704352e-01 4.99832164e-03 1.02777854e-02 -7.92457350e-03 1.18506446e-01 5.41154295e-02 -5.01981890e-03 5.75758480e-02 -2.44218223e-02 2.04189289e-02 -2.91395094e-02 -2.84451386e-03 -9.52046067e-02 -2.90794373e-02 9.48961172e-03 -8.63658860e-02 2.81226151e-02 8.04830343e-03 -1.36762798e-01 7.39566982e-02 1.95783488e-02 -1.98157411e-02] [-2.00372770e-01 -2.75719855e-02 -1.17396777e-02 -1.44315168e-01 -8.31783097e-03 1.06926285e-01 2.64956169e-02 1.23554394e-01 -4.90929885e-03 -3.18504707e-03 -1.84345767e-01 1.31629431e-03 1.60661042e-02 9.88517553e-02 -1.32845610e-01 -7.37153441e-02 -2.75983033e-03 9.23449025e-02 6.64367005e-02 1.38996094e-01 1.79027304e-01 -5.07243313e-02 3.31557356e-02 -1.09060137e-02 2.39654817e-02 1.25972433e-02 -1.49970338e-01 -2.56078318e-02 9.49767232e-02 -1.53619889e-02 -1.94399729e-01 1.09040551e-01 5.21535007e-03 -4.94431844e-03 9.22111869e-02 -3.65522131e-02 1.10020558e-03 -6.52842149e-02 1.32920416e-02 5.59788682e-02 -1.26929671e-01 -8.18111189e-03 -7.49191362e-03 -3.07538523e-03 1.65436745e-01 1.24761783e-01 -1.51563123e-01 -1.78919360e-03 4.76351427e-03 2.71893609e-02 6.51535997e-03 8.39146692e-03 1.08802812e-02 1.12156020e-02 2.42982688e-03 1.47746652e-02 -5.12420870e-02 -1.77758764e-02 -8.89755040e-03 -1.86609570e-02 9.61953029e-02 -1.73637018e-01 -1.08876981e-01 -2.69933324e-03 -1.60475969e-01 1.18387409e-01 -1.49324210e-02 -3.63479406e-02 -1.23687292e-04 -2.54036766e-02 1.71264812e-01 -9.08063650e-02 -9.56867996e-04 1.07112853e-02 4.83057136e-03 -1.36689777e-02 1.87429324e-01 2.87315510e-02 5.07322652e-03 -1.98625010e-02 -7.46430783e-03 6.37650443e-03 1.16946902e-02 -1.72855690e-01 -2.06397682e-01 1.24834977e-01 8.36923718e-02 9.59595293e-03 -5.26178279e-04 -1.44655332e-01 1.61520287e-01 3.50258686e-02 -7.23986840e-03 -3.07234866e-03 5.77396294e-03 1.79361284e-01 3.16660106e-02 -9.16480795e-02 -7.44188437e-03 -1.56127021e-01 1.65904224e-01 1.74597800e-02 3.43421511e-02 8.27044249e-02 -1.07896356e-02 6.97258255e-03 1.97709739e-01 -4.47003637e-03 2.84845824e-03 5.12516499e-02 -2.90403422e-02 -1.73658371e-01 -5.03791822e-03 -1.58610288e-02 -2.73613725e-02 1.65201306e-01 1.63428590e-01 -1.08115505e-02 1.10059351e-01 -4.96852351e-03 -1.12593472e-02 -1.33570340e-02 1.35208061e-02 -3.47384475e-02 -1.81043461e-01 -1.96566619e-02 1.12681119e-02 -3.08278832e-03] Cos Similarity tf.Tensor(-0.08667227, shape=(), dtype=float32) (128,) (128,) [ 1.92704529e-01 4.32185642e-03 4.80236448e-02 -1.53911129e-01 -1.52506819e-02 -1.25128686e-01 4.44654748e-03 -5.42165898e-02 3.79039739e-05 6.98155724e-04 1.07553273e-01 -6.87971292e-03 7.01955659e-03 1.03042193e-01 7.00292811e-02 -4.06098664e-02 -7.98679236e-03 -1.17941245e-01 1.73354536e-01 1.81498691e-01 -1.60341933e-01 -1.64530501e-01 1.48708135e-01 9.10165980e-02 -1.03388801e-02 5.94740873e-03 -9.95837748e-02 6.67707436e-03 1.60337240e-02 7.83051252e-02 -1.67298317e-01 1.90620542e-01 9.01208911e-03 8.73455871e-03 2.00193912e-01 -2.36055683e-02 -6.35567121e-03 -1.41349835e-02 -2.96255783e-03 4.62698899e-02 -3.54199857e-02 -5.85140474e-03 1.77004654e-03 4.16549668e-03 1.89213723e-01 -1.76408067e-01 -8.89169648e-02 1.28038526e-02 6.40522828e-03 -3.58120934e-03 1.09722198e-03 4.73004207e-03 -9.19415988e-03 3.09663446e-04 -1.19568605e-03 3.52667226e-03 -2.07410038e-01 -1.13828322e-02 4.23723552e-03 -1.40201263e-02 1.83007315e-01 1.83607876e-01 1.56975403e-01 -1.23666925e-02 -6.73056692e-02 1.32322475e-01 -1.12388534e-02 1.46025673e-01 2.27813376e-03 5.07329516e-02 5.67354215e-03 -1.98854983e-01 -6.73778029e-03 7.47250719e-03 -1.93369295e-02 5.73988538e-03 1.74476683e-01 3.43424566e-02 1.20749185e-03 1.23834118e-01 -5.17240074e-03 -3.16100870e-03 3.15831485e-03 -1.94194347e-01 1.90343633e-02 -1.57521620e-01 6.45902455e-02 1.14929266e-02 -2.21925159e-03 -1.19622219e-02 -6.25722408e-02 -1.30021989e-01 1.98153453e-03 3.62259615e-03 1.85478001e-03 -1.05338842e-02 7.02801719e-02 -4.31602784e-02 5.26952208e-04 -1.43847391e-01 -1.42697185e-01 1.17017888e-01 3.89707908e-02 1.73842430e-01 -1.40141249e-02 -1.86915174e-02 1.93944052e-02 1.36197768e-02 -1.19418139e-03 1.50250727e-02 -5.86026534e-02 -1.27064697e-02 -3.75239854e-03 -1.26334772e-01 5.64622402e-04 1.59795396e-02 -7.92116821e-02 -1.72434561e-02 -1.13854878e-01 -1.68119390e-02 -5.43590356e-03 1.51790470e-01 -1.26541769e-02 -1.31387766e-02 -4.98246886e-02 4.59196679e-02 -9.72851664e-02 -3.16639734e-03] [ 0.18203525 0.08346728 0.02430213 0.08969755 -0.01053207 -0.12357844 0.06058985 -0.00675384 0.00259077 -0.0037146 -0.15027183 -0.00767643 0.01146785 0.07482429 0.06700563 0.13485557 -0.01574552 0.12220486 0.18932623 0.00812907 0.01447826 -0.15463021 0.17652687 -0.06760101 -0.01185306 -0.00130331 -0.00246519 -0.0026755 0.16407505 0.16119596 -0.187292 0.15224116 0.01372286 0.00991209 0.17694074 -0.01180607 0.0024182 -0.14586617 -0.00551683 0.06387642 -0.0549651 -0.00978923 0.00034632 0.00706207 0.14280815 -0.06917651 -0.1088705 0.01419064 0.00444338 -0.00131854 0.00338013 0.00226619 -0.00513849 0.00228554 -0.00065319 0.00164616 -0.14264917 -0.00863931 0.00328654 -0.00485991 0.14804222 0.15417351 0.16972852 -0.00827378 -0.16423225 0.17248209 -0.0034321 0.0248263 0.00206747 -0.08770356 0.0511259 -0.09119952 -0.00303391 0.00678578 -0.01146483 0.00488515 0.18134442 0.01745165 0.00417186 0.1404234 -0.00663434 -0.00614621 0.00310348 -0.11980119 -0.17090498 -0.0879785 0.15441029 0.00633667 -0.00246914 0.13021463 0.1468638 0.07042662 0.00655892 -0.00055022 0.00400116 0.14605875 0.09698556 -0.04969302 -0.00410494 -0.0892139 -0.05579151 0.12861797 -0.09910086 0.16431002 -0.01359738 0.00636977 0.01679953 0.01468616 -0.00096987 -0.16504914 -0.01973189 -0.14063938 0.00331601 0.03838082 0.01745863 -0.04004453 -0.11839884 -0.01252912 0.101933 -0.00899006 0.00060383 0.07599333 -0.0043811 -0.02775456 -0.1887801 0.00778586 -0.04606622 -0.00744104] Cos Similarity tf.Tensor(0.5866722, shape=(), dtype=float32) (128,) (128,) [ 0.01659905 0.09420787 -0.05073688 -0.01344998 -0.0235538 0.03424075 0.04695651 -0.19119507 0.00379443 -0.00291451 -0.18606122 -0.00956387 0.0157375 -0.10499922 0.11003628 0.01516577 0.00678652 0.09038027 0.21952464 -0.026051 -0.12902783 -0.16420926 -0.15277356 0.08308877 0.01138738 0.00771045 0.12762876 -0.02081889 -0.01522235 0.03861298 -0.09353118 0.15093917 0.00309337 -0.00051952 0.04929478 0.02186509 -0.01758669 -0.04778163 0.01125798 -0.06053251 -0.00191464 -0.0025551 -0.0054654 0.01143275 -0.16332948 -0.19582114 0.08942655 0.0024135 0.00969602 0.00315619 0.00887109 0.00091109 -0.01971185 0.01032439 -0.00391531 -0.00220842 0.09764337 0.00252175 -0.00055135 -0.02086277 0.04741606 -0.15289477 0.08281544 -0.00990114 -0.17716883 -0.09958694 -0.01672504 -0.06067523 -0.02620487 -0.01426985 -0.04595555 -0.10364564 0.00049104 -0.00435108 -0.00547352 0.01043211 0.11340909 0.03608148 -0.01046905 0.07650277 0.00168369 0.01576859 0.00474138 -0.15067078 -0.20664088 0.12548509 0.00431178 0.00129131 -0.00495227 -0.0703106 0.12949085 0.15858172 0.00533525 -0.00555694 -0.00917785 0.057206 0.02029243 -0.23680376 -0.01179736 -0.19011842 -0.15626885 0.02785855 0.09343767 0.13757059 -0.02169806 -0.00620964 0.22611809 0.00495239 0.00322573 -0.02704751 0.16247135 0.07488403 -0.00539977 -0.13429442 0.03673358 0.05925011 -0.02363951 -0.00139297 -0.00668695 -0.02205755 0.00188991 0.24944036 0.01152765 -0.00654146 -0.21409819 0.0880814 -0.03630045 0.00028163] [ 1.14630394e-01 1.52982011e-01 -6.41618744e-02 1.03040799e-01 -1.05541535e-02 -1.09967440e-01 -9.50408578e-02 -2.27533758e-01 -4.91097476e-03 -7.10009085e-03 -1.75355956e-01 -1.01121226e-02 1.75991636e-02 -7.46161863e-02 1.27416790e-01 -2.39515454e-02 -6.67208806e-03 1.63539842e-01 1.86238259e-01 1.64618138e-02 -1.28931388e-01 -5.08104451e-02 1.15499496e-01 5.52798845e-02 -2.77807820e-03 4.36465396e-03 1.72016099e-01 -3.55810896e-02 1.24151863e-01 4.75512818e-02 -1.11447655e-01 1.23136029e-01 -1.10112512e-02 3.16152442e-03 4.90325950e-02 1.58176310e-02 1.28277892e-03 -8.56395140e-02 -1.26625632e-03 -1.42476872e-01 -6.07511885e-02 -2.29541259e-03 -6.49016816e-03 7.67306052e-03 -1.63511798e-01 -5.37414625e-02 4.62770611e-02 5.92740893e-04 1.00551173e-02 9.37461480e-03 5.09552471e-03 4.25893842e-04 -2.01557912e-02 3.52505618e-03 -2.18661558e-02 -5.11428993e-03 -6.19770326e-02 -4.24394129e-05 -1.57742470e-03 -6.02831878e-03 2.36122701e-02 -9.94733348e-02 1.74331024e-01 -1.27199572e-02 -1.80975780e-01 5.09912372e-02 -1.09180091e-02 1.77809189e-03 -3.30289192e-02 1.34873390e-01 -2.36576088e-02 4.44233641e-02 -1.77826814e-03 8.33551283e-04 -2.85913702e-03 2.48968066e-03 -1.43855304e-01 7.68874064e-02 -3.65127926e-03 -3.46885324e-02 -1.68855744e-03 3.41097154e-02 -2.52058404e-03 -5.05483635e-02 -1.51071176e-01 9.70075652e-02 -2.12135836e-01 -5.72483114e-04 -6.73994282e-03 -3.00869849e-02 8.73606801e-02 1.64243624e-01 2.22199387e-03 -7.47318380e-03 -1.70873981e-02 7.91351572e-02 -1.36423916e-01 -2.39631921e-01 -3.63163743e-03 -1.43354535e-01 -5.64415865e-02 3.95846404e-02 9.80197042e-02 1.06839478e-01 -7.32940249e-03 -6.54376252e-03 2.28371322e-01 2.72256043e-02 -1.37908338e-03 -5.02088033e-02 1.10271694e-02 1.29007399e-01 -1.32663520e-02 -1.80634305e-01 4.59071100e-02 3.92760970e-02 -7.90458638e-03 -6.72212150e-03 1.93462834e-01 1.55027222e-03 -7.12738838e-04 1.45378634e-01 1.21318400e-02 4.55552572e-03 -1.85907319e-01 1.44266048e-02 5.98785877e-02 -5.87699283e-03] Cos Similarity tf.Tensor(0.6932039, shape=(), dtype=float32) (128,) (128,) [ 1.69894606e-01 -6.17085723e-03 1.63594663e-01 9.04181898e-02 -2.06779595e-02 -1.48645565e-01 1.31319717e-01 -1.66856810e-01 6.90733595e-03 2.08884082e-03 1.50676727e-01 -1.57174165e-03 1.40012596e-02 -1.47453561e-01 -2.38806978e-02 1.34846419e-01 -1.86849339e-03 1.28016651e-01 1.43299744e-01 1.73666552e-01 1.72178328e-01 5.24562672e-02 1.04344763e-01 -1.53956339e-01 4.53131832e-03 -1.01669203e-03 1.22662567e-01 -5.58194378e-03 -1.66008428e-01 -6.98681399e-02 1.18681602e-01 1.00699319e-02 -1.81970019e-02 -2.92222463e-02 -5.31914644e-02 8.12972616e-03 3.29107395e-03 -1.82922184e-01 -4.72818501e-03 -8.44463408e-02 -9.40276012e-02 1.19630285e-02 1.55182683e-03 6.88108429e-03 -1.94937631e-01 -3.05387676e-02 -8.65158066e-02 1.09868487e-02 1.27872676e-02 1.60966534e-02 8.97663459e-03 9.54731368e-04 -1.31486785e-02 2.07285350e-03 -8.61542765e-03 -4.17018775e-03 4.78261057e-03 -2.37794453e-03 6.23681676e-03 -1.43258483e-03 1.31401554e-01 9.34987813e-02 -1.76162884e-01 -4.84129327e-04 -1.36558667e-01 1.39894299e-02 -2.26576463e-03 1.66225120e-01 -3.00554894e-02 -1.74186453e-01 -6.73957691e-02 -6.60229549e-02 1.87881713e-04 -1.03625925e-02 -4.07965435e-03 1.06143234e-02 -1.29687890e-01 -6.70333132e-02 3.80905461e-03 1.60475120e-01 3.49720917e-03 -3.92563120e-02 -4.80139535e-03 -1.08202867e-01 5.04116416e-02 -1.24473929e-01 -1.77099016e-02 8.81550740e-03 2.95811496e-03 -1.59285247e-01 -8.87659863e-02 1.15913823e-01 6.86219940e-03 4.75720037e-03 1.65040162e-03 9.70395003e-03 1.45334288e-01 1.06855981e-01 1.23503632e-04 4.49567996e-02 1.91205800e-01 1.81621879e-01 -7.95006230e-02 8.04761704e-03 -4.00552480e-03 1.03254924e-02 -1.88076064e-01 2.55916244e-03 3.31936846e-03 7.42991921e-03 4.34181541e-02 -1.10137857e-01 1.32534435e-04 -1.70816369e-02 5.47720306e-02 2.62649730e-03 -1.53081104e-01 -5.77091426e-03 -4.23175795e-03 -1.01123815e-02 6.02283003e-03 1.82147786e-01 1.19857723e-02 -1.31625654e-02 -8.66265073e-02 4.35526222e-02 -9.33886170e-02 -2.59450101e-03] [ 0.17285544 -0.00755117 0.06035195 0.10386235 -0.02552978 -0.0009445 0.14776097 -0.16289334 0.00605069 0.00477968 0.15898934 0.00751962 0.01826066 -0.14599258 0.01320451 0.06895015 0.00390359 0.13143688 0.15383798 0.11794198 0.20056073 0.05481396 0.06567741 -0.14109701 0.01165374 0.00050126 0.12961572 -0.01058557 -0.17197832 -0.06424548 0.155118 0.01803304 -0.02447353 -0.03686612 -0.07754683 0.00685922 0.00093443 -0.16402052 -0.00859117 -0.08481294 -0.10509632 0.01527764 0.00307676 0.00367572 -0.20395887 0.01634555 -0.00132761 0.0123665 0.01748383 0.02373114 0.01174089 0.00136245 -0.00312402 0.00267383 -0.00605225 -0.00688879 0.09941941 -0.0076451 0.00792046 -0.00218668 0.13699959 0.09727168 -0.17691666 0.00955256 -0.1412965 0.01163847 -0.00246799 0.15459563 -0.02571564 -0.17663391 -0.06549449 -0.05717926 -0.00288487 -0.01402749 0.00042059 0.01540131 -0.13408472 -0.06606195 0.00218784 0.16907395 0.0083494 -0.07043598 -0.00646433 -0.11149856 -0.07024315 -0.13320385 -0.108936 0.01111399 0.00386659 -0.19340809 -0.07098071 0.04118301 0.01304132 0.01191065 0.00032894 0.04490975 0.149712 0.04451992 0.0005784 0.09538462 0.20010585 0.15023774 -0.08360043 0.02940268 -0.0016789 0.01396058 -0.18616663 -0.00514986 0.00976583 0.0158485 0.03921371 -0.1728887 0.00198194 0.09439234 0.03590845 -0.09378519 -0.14827241 -0.00284936 0.10262804 -0.00987212 0.01196073 0.15653847 0.01891257 -0.00981829 -0.08895353 0.04426462 -0.01610402 -0.00115227] Cos Similarity tf.Tensor(0.9242598, shape=(), dtype=float32) (128,) (128,) [-2.80261077e-02 -1.45208672e-01 -9.96405333e-02 5.69529086e-03 -3.30096968e-02 5.99956326e-02 7.40298210e-03 -3.85108031e-03 -1.81212265e-03 -1.24113904e-02 2.09239349e-01 -2.66524754e-03 5.88406064e-03 -7.01854080e-02 5.78999184e-02 -1.12620085e-01 -1.27004432e-05 -1.08271182e-01 6.87944666e-02 -8.71710405e-02 -1.02926552e-01 -7.99822807e-03 -9.43942741e-02 9.37760901e-03 1.13987864e-03 1.09850662e-02 -1.35500222e-01 -6.86429022e-03 -3.52859981e-02 1.72376201e-01 9.69762579e-02 1.63671613e-01 -2.55344273e-03 -1.88530944e-02 -7.33172428e-03 -2.48704683e-02 -1.34027265e-02 3.11802700e-02 1.06934682e-02 -4.15115133e-02 1.85303763e-01 1.49030425e-03 -6.15945691e-03 1.33238519e-02 1.54014481e-02 -2.15737164e-01 2.84679886e-02 -3.18426592e-03 7.79659254e-03 1.29429158e-02 1.51902055e-02 -7.63430900e-04 -2.57592406e-02 3.18616861e-03 -8.99669621e-03 3.41502577e-03 8.92498791e-02 3.01712193e-03 1.09844292e-02 -2.60361414e-02 1.67038232e-01 -1.13374375e-01 -2.34863445e-01 -4.98859305e-03 2.30882853e-01 -2.75371280e-02 -1.74134392e-02 2.63001248e-02 -1.71699245e-02 -5.00205606e-02 -6.57842085e-02 -1.35034248e-01 -3.13259498e-03 -9.79837147e-04 -2.70865653e-02 8.66599660e-03 3.53912972e-02 9.08315033e-02 7.89485220e-03 1.55852258e-01 -5.71763562e-03 1.92993879e-02 -3.40063008e-03 -1.95183322e-01 1.95294112e-01 -4.26803790e-02 8.59722495e-02 8.42892472e-03 -4.73886402e-03 5.60496449e-02 1.37393002e-03 2.15457112e-01 -2.55710707e-04 -3.76179907e-03 -1.53192775e-02 4.47562076e-02 1.34434402e-01 -1.17366917e-01 -1.80394202e-02 -1.73157990e-01 -1.48288712e-01 1.56322479e-01 1.90974504e-01 2.94801518e-02 -1.03688994e-02 1.81777240e-03 5.44020068e-03 2.26606037e-02 -3.18725519e-02 1.34981975e-01 -1.09651759e-02 -1.77773625e-01 -2.71891449e-02 6.46084026e-02 9.03738110e-05 1.09096028e-01 1.96471915e-01 -1.98257901e-02 8.73864815e-02 -3.48511599e-02 2.76667997e-03 1.04015306e-01 2.54115276e-02 -6.71807816e-03 1.88055024e-01 3.67883779e-02 1.16673633e-01 -6.39583543e-03] [ 0.09043022 0.12014806 0.00733322 0.03400922 -0.03861085 0.00506541 -0.03471864 -0.19775875 0.00699172 -0.00169692 -0.16457778 -0.01534154 0.0085869 -0.17869207 0.02437905 0.05785591 0.00206637 0.02878012 -0.06532814 0.05581299 0.03466764 -0.01795798 -0.1719156 -0.1193819 -0.01682835 0.00074147 -0.18402812 -0.03806453 0.08879285 0.08477657 0.08466946 -0.04063122 -0.00861803 -0.01998519 0.02948228 -0.01198647 -0.02139905 -0.1523357 0.00521904 -0.12452596 -0.12484793 -0.00775848 -0.00972413 -0.01007225 -0.18174711 -0.23370205 -0.1786203 0.0014009 0.01183713 0.00682536 0.00879277 -0.00285105 -0.01820538 0.00056707 -0.01679469 -0.01259484 0.08998613 0.00501605 0.00874933 -0.02916696 0.06120032 -0.19271341 0.07827645 -0.01886932 0.21440335 0.17427735 -0.01342981 -0.00254064 -0.02909673 -0.02193196 -0.08877841 0.14619398 -0.00273483 0.00260217 -0.0042189 0.00598884 -0.16421986 0.06793388 -0.00439634 0.12864785 -0.01009066 -0.00322487 -0.00196923 -0.06920306 0.08682512 0.08907844 0.14044404 0.00803469 -0.00546704 -0.08659788 0.22469303 0.15340307 0.00417342 0.00600384 -0.00626797 0.14773889 -0.00358767 -0.06921705 -0.01164242 -0.02746486 0.15630746 -0.04929339 -0.03508343 0.20874263 -0.005528 -0.00894679 0.1374574 0.0018278 -0.01474291 0.17024972 0.00289515 -0.1497847 -0.00942835 0.07972626 -0.00824997 0.12329878 0.1179266 -0.01198119 0.1661122 -0.0184686 0.00494029 0.03391965 0.01034438 -0.00891605 0.08348292 0.05267208 0.05069483 -0.00937093] Cos Similarity tf.Tensor(0.28032097, shape=(), dtype=float32) (128,) (128,) [-0.13696119 0.18475643 0.05290963 0.0806937 0.00132754 -0.14205612 0.03233473 0.1660549 -0.00319044 -0.00662348 0.07038505 -0.01306727 -0.0009517 0.09000988 0.00730917 0.17277716 -0.00449595 0.16421725 0.10991028 -0.17607273 -0.18812701 -0.056892 0.14863046 0.02963226 0.00632938 -0.00640805 0.17951447 0.00873445 0.05813086 0.12126892 -0.04506528 -0.11079656 -0.01377022 -0.024628 0.16282684 -0.03148143 0.01392377 0.14440557 -0.00836768 0.07602163 0.09748288 -0.01289409 -0.00289115 -0.00106037 -0.02909991 0.04580745 0.04965732 -0.0049382 0.00430679 0.00110253 0.00059411 0.00740481 -0.00403091 0.00371278 0.00766686 0.00444725 0.07290033 -0.00374258 0.00346606 0.00753317 -0.11543026 0.15337001 0.07629746 0.00899226 -0.15974844 -0.15339376 -0.00534903 -0.18360396 0.0030703 0.10682566 0.19122744 0.02346597 0.00206744 0.01513281 0.00627474 -0.0016831 0.15767899 0.00094491 0.00271753 0.19992143 -0.01138515 0.00034775 0.00029038 -0.17486912 -0.03526222 -0.13954972 0.15910359 0.00466477 -0.01284696 0.05217623 0.02128957 0.02647808 -0.01185155 0.00342392 0.01182873 -0.00693017 0.17092206 0.06608428 0.00768385 0.10615494 0.00831314 0.12561695 0.10876036 0.01493852 -0.00541315 -0.00242748 0.17676286 -0.00135849 -0.00114205 -0.09603143 0.06430327 0.10563392 -0.00331417 -0.08080739 -0.05734034 -0.15530519 0.12135395 -0.00128251 0.17657164 -0.01215122 -0.00610002 0.14167283 0.00855595 -0.02017749 0.06801816 -0.02233204 -0.1371446 0.0022905 ] [-3.90792191e-02 -9.87961441e-02 1.87045359e-03 -2.47906312e-01 -2.42518466e-02 -3.20060700e-02 5.31585403e-02 1.63074121e-01 -6.06814539e-03 1.60528850e-02 8.08792487e-02 -1.38038062e-02 8.73328000e-03 -6.75284266e-02 6.09225733e-03 -9.16825682e-02 1.62879545e-02 2.46496573e-01 -6.71810424e-03 -2.10153013e-01 3.09324674e-02 -1.18846729e-01 8.81412551e-02 5.49017005e-02 2.95180269e-02 -5.86094859e-04 -1.96451202e-01 1.52001400e-02 -1.06256641e-01 -3.01314816e-02 2.98006311e-02 1.11682974e-01 2.97717620e-02 2.27988162e-03 8.66479278e-02 -1.92830190e-02 1.60671789e-02 1.78050473e-01 -2.08741259e-02 9.92661342e-02 1.34306923e-01 -2.21295908e-04 1.84978999e-03 1.48976175e-03 -1.18952021e-01 4.16201465e-02 2.08088562e-01 3.13526057e-02 2.78114527e-02 2.29370911e-02 9.47734155e-03 2.30793259e-03 2.90368274e-02 1.33198835e-02 2.33211904e-03 6.97738910e-03 9.17131901e-02 1.66434888e-02 6.68318104e-03 1.79638863e-02 -6.76451325e-02 1.93277612e-01 1.54501423e-01 6.35434873e-03 -8.45205486e-02 -3.22652981e-02 -1.41294114e-02 5.75728230e-02 1.02660023e-02 9.62339342e-03 2.56299041e-02 -1.51983559e-01 8.49932618e-03 -3.45549290e-03 -1.62922137e-03 1.81667488e-02 1.64855585e-01 1.02649920e-01 7.02602649e-03 -5.88372089e-02 2.61021289e-03 6.87274791e-04 7.13964552e-03 -1.43711776e-01 7.92490318e-03 -8.08903351e-02 2.03136846e-01 2.14448255e-02 7.07296981e-03 2.00123832e-01 1.72230154e-01 -8.41193572e-02 5.64356288e-03 -1.03305122e-02 2.34898329e-02 -6.68338910e-02 1.22775197e-01 -2.48855166e-02 -4.84978314e-03 3.82163748e-02 -3.82697396e-02 -2.39180252e-02 1.59741327e-01 2.01398134e-01 -1.28399406e-03 -2.76813805e-02 -4.54292959e-03 -5.89331426e-03 1.68960877e-02 -6.84510767e-02 -1.00224443e-01 1.40808066e-02 1.10816513e-03 8.16414654e-02 -1.72049068e-02 -1.79357961e-01 1.37464907e-02 6.43838942e-03 -1.23532027e-01 -1.23273972e-02 -1.40932174e-02 2.06360206e-01 1.60924569e-02 -8.03447049e-03 1.06154755e-01 -9.40835010e-03 -1.85049772e-01 3.90995666e-03] Cos Similarity tf.Tensor(0.36258352, shape=(), dtype=float32) (128,) (128,) [ 2.49322817e-01 2.55743656e-02 -8.82392079e-02 5.08022308e-02 -9.41978395e-03 2.07372740e-01 -2.23467480e-02 1.32640287e-01 -8.13940261e-03 -1.34222927e-02 2.50303954e-01 -5.19323722e-03 -3.27372644e-03 7.21776346e-03 1.40750632e-01 -2.59090513e-02 -2.30286438e-02 -5.56464605e-02 2.64721867e-02 -1.67347625e-01 1.13219708e-01 9.08675119e-02 -1.20462710e-02 2.82753780e-02 -1.57437548e-02 7.69946910e-03 6.00820919e-03 -1.37347225e-02 -4.60162163e-02 1.66318968e-01 2.04888254e-01 9.76074114e-02 -1.44956983e-03 -5.59963025e-02 -2.34657124e-01 -2.22793054e-02 -1.49465427e-02 9.45757180e-02 -4.99398261e-03 -1.33082762e-01 5.21807582e-04 5.63067198e-03 1.38331053e-03 -1.82614028e-02 -7.07605854e-02 -7.80445151e-03 1.46545358e-02 -3.67763848e-03 2.97366735e-03 1.50344279e-02 5.88938920e-03 2.32938863e-03 -2.20975839e-02 3.07901204e-03 -2.95504946e-02 1.30076590e-03 1.59319744e-01 -1.06806429e-02 3.99875164e-04 -1.92674324e-02 -3.98057513e-02 6.06493764e-02 7.45501071e-02 -5.75637771e-03 7.62246922e-02 -3.07284538e-02 -1.35730654e-02 4.67691198e-02 1.69403607e-03 -1.49588525e-01 -3.47520746e-02 2.88513657e-02 2.12676008e-03 3.22065246e-03 -3.32328118e-02 1.71959009e-02 -1.16158100e-02 9.03445706e-02 -9.65485815e-05 1.09751619e-01 -7.20160594e-03 -3.03870323e-03 -1.36834243e-02 1.94651917e-01 -1.97679490e-01 1.27341017e-01 1.80004045e-01 3.38637573e-03 -1.00731505e-02 -1.20802723e-01 -1.43408179e-01 -3.46594416e-02 2.84828688e-03 6.94700330e-03 -1.35849109e-02 1.77016050e-01 1.96360447e-03 -1.69789270e-01 -2.20260434e-02 6.98508620e-02 -3.73901166e-02 2.04584748e-02 -1.85277909e-01 3.66938338e-02 -1.35616418e-02 -8.37602094e-03 -1.06239639e-01 -5.90004539e-03 -2.58906987e-02 1.21489935e-01 -4.46530944e-03 -2.56583959e-01 -7.28250807e-03 1.61354110e-01 4.29892130e-02 -2.36623660e-01 6.69935197e-02 -1.13240792e-03 7.50931650e-02 -3.24837342e-02 -8.40021111e-03 -7.15019107e-02 9.03613307e-03 -1.15595562e-02 1.87633932e-03 2.44322214e-02 3.80181521e-02 -8.24578106e-03] [ 2.55730718e-01 -1.47987660e-02 -1.06260052e-03 -1.39341980e-01 -9.35602095e-03 5.60192950e-02 7.33045340e-02 2.05984518e-01 -1.84523221e-02 -2.08312544e-04 -7.16621280e-02 1.15614869e-02 -3.35381972e-03 -1.72093838e-01 -3.74877602e-02 2.09767148e-01 7.53696728e-03 -2.13581011e-01 -1.49746954e-01 -8.88469741e-02 1.63010895e-01 -6.57945648e-02 -3.13253216e-02 3.38852480e-02 -7.93934427e-03 1.11544514e-02 7.27715492e-02 -7.79314619e-03 1.30874952e-02 1.28958926e-01 -1.04508020e-01 1.08719066e-01 6.64209109e-03 2.27257777e-02 -8.11225101e-02 1.11297425e-02 4.51277243e-03 -8.17053467e-02 8.96011852e-03 -2.45694965e-01 7.95000046e-03 1.56225183e-03 8.77507590e-03 2.58745253e-02 1.32337688e-02 -1.11986123e-01 1.26320586e-01 3.08011230e-02 6.60430128e-03 1.65954307e-02 2.40593012e-02 5.55650285e-03 6.30077068e-03 5.96668059e-03 -1.28757283e-02 2.33496744e-02 1.63904712e-01 -2.66673006e-02 1.52911907e-02 -1.13412188e-02 5.64647764e-02 7.60348439e-02 -1.13673039e-01 1.23005314e-02 4.02350649e-02 -7.21765906e-02 -4.06839885e-03 1.35179773e-01 -1.83710887e-03 -2.68894061e-02 -1.48595303e-01 -1.82257131e-01 9.62577760e-03 4.30355314e-03 -3.99062363e-03 1.46223614e-02 1.81391791e-01 -9.54716280e-02 -1.59762632e-02 6.23500682e-02 4.65159654e-04 -7.74225127e-03 1.00222388e-02 1.25145659e-01 -1.35168478e-01 -2.94622499e-02 2.75767110e-02 2.71971151e-02 4.64228541e-03 2.39752494e-02 1.83717072e-01 -1.70252308e-01 -6.34333352e-04 1.66689865e-02 1.19748665e-02 -3.71990018e-02 3.50341424e-02 1.66709512e-01 -1.65685508e-02 -1.17095441e-01 -1.00969546e-01 -6.08711913e-02 -4.45971824e-02 -5.60478047e-02 -2.85132788e-02 -1.89201888e-02 -3.15205455e-02 4.52179601e-03 -2.53489483e-02 1.26337960e-01 1.09428152e-01 -9.79430228e-02 -4.95950505e-03 1.91293165e-01 -7.61199594e-02 1.54738769e-01 7.75628760e-02 -1.28175961e-02 -2.02210456e-01 -5.75521849e-02 -1.76520494e-03 -1.27999023e-01 3.96362841e-02 6.09111739e-03 2.93134974e-04 6.50146678e-02 4.47713882e-02 -6.60634646e-03] Cos Similarity tf.Tensor(0.22324726, shape=(), dtype=float32) (128,) (128,) [-1.10933319e-01 -1.44417450e-01 8.04452449e-02 -3.19982544e-02 -1.51775694e-02 5.26185380e-03 1.54695228e-01 -1.12719938e-01 4.67350101e-03 -2.18515890e-03 -1.72062784e-01 6.56464789e-03 7.39273196e-03 3.11821569e-02 5.23655266e-02 -2.95088366e-02 1.37052359e-02 9.84377880e-03 1.14203200e-01 -1.23103328e-01 -1.02632739e-01 -5.88520877e-02 4.75482754e-02 3.77495051e-03 6.28154445e-03 1.08599430e-02 1.44463763e-01 3.65351036e-04 4.34709154e-02 1.86079726e-01 1.57396659e-01 1.36560112e-01 1.05867060e-02 7.40552612e-04 3.95424366e-02 -4.27601580e-03 4.86023910e-03 1.45873457e-01 -1.37789100e-02 1.61071308e-03 1.35941654e-01 -5.09318352e-06 -1.11055775e-02 -4.58226725e-03 1.74823642e-01 1.27371669e-01 1.57526776e-01 6.22766512e-03 1.67992897e-02 1.10078491e-02 4.46550315e-03 5.48851490e-03 -1.21615203e-02 3.18603055e-03 8.19637068e-03 1.21699134e-02 2.78221760e-02 -1.13285668e-02 6.18925691e-03 -1.67575683e-02 -5.05094565e-02 -6.82106763e-02 8.85931924e-02 5.51561918e-03 -1.29603475e-01 -1.49411798e-01 9.43630934e-03 -7.54601741e-03 -6.45240583e-03 -7.90834874e-02 1.79890404e-03 -1.27399385e-01 -1.48024783e-02 -3.90227418e-04 -1.03883387e-03 1.91251524e-02 1.12491883e-01 -2.81732772e-02 -2.86822603e-03 2.00165942e-01 -6.49633445e-03 -1.36295601e-03 1.30940331e-02 -1.47065565e-01 -1.51305005e-01 -1.14327639e-01 -3.74072492e-02 9.58282314e-03 -8.92821327e-03 -1.74769923e-01 -8.69876519e-02 -1.99106872e-01 3.30948341e-03 2.36825757e-02 5.33301092e-04 1.54938832e-01 2.14230910e-01 -1.35831922e-01 -1.47753274e-02 -8.88410136e-02 -7.00585097e-02 -4.06178981e-02 3.87230404e-02 -1.40368238e-01 -4.21918230e-03 9.34539083e-03 1.06015794e-01 2.91717052e-02 -2.56432756e-03 -1.48610607e-01 -1.43974662e-01 -1.04114823e-01 -1.26872137e-02 4.97217402e-02 -3.11340615e-02 1.66746795e-01 1.75472558e-01 -3.18731219e-02 -2.03780368e-01 -3.02131865e-02 -7.15901726e-04 1.90989643e-01 8.93860962e-03 -2.55685598e-02 -1.57804608e-01 1.49985151e-02 9.69063584e-03 -7.26584531e-03] [-0.21359195 0.1470907 0.04801271 0.08346061 0.00783117 0.05044249 0.04019253 0.17528082 0.00423916 -0.00450814 0.07039016 -0.00541499 -0.00201362 0.0412011 -0.00378152 0.17448914 0.01531628 -0.10921486 0.15074368 -0.0286563 -0.16053468 -0.17903255 0.03904988 0.0996452 0.00044093 -0.00032151 0.16532582 -0.00214614 0.14504273 -0.05713389 0.09880928 -0.10456988 0.0133508 0.0050696 0.20138715 -0.04596574 0.02026114 0.12711765 -0.01462767 -0.02101456 0.1734328 0.0080396 -0.00645578 -0.00779937 0.16862437 0.06184805 0.03972895 0.003465 0.00437576 0.00517501 0.00823119 0.00445191 0.00073099 0.00676296 0.00753842 0.01132782 0.16174582 -0.00101545 0.00341896 -0.00540002 0.04101629 0.04975316 0.11559066 0.01909975 -0.1849158 -0.095424 -0.00167243 -0.18026002 0.00508236 -0.08820054 0.10502893 0.07926124 -0.00161491 0.01143907 0.00554618 -0.00066789 0.04133762 0.02697129 -0.00025546 -0.11342686 -0.01355243 -0.00089423 -0.01027024 -0.12955737 -0.09951118 0.02959173 0.11313208 0.00643161 -0.00437894 0.15981245 -0.1614623 0.1622994 -0.01237258 0.01786236 0.01223644 0.01771788 0.17008728 -0.04557921 -0.0012646 0.02766939 0.19648014 -0.1849281 0.08419102 -0.05202694 0.00298322 -0.01509437 -0.17483337 -0.00212212 -0.00530373 -0.14179112 -0.13785408 0.01181157 0.0015099 0.09790619 -0.0261546 0.07266778 0.18495813 0.00234583 -0.03369325 -0.01684792 0.00113107 -0.07442211 0.01708491 -0.02808813 -0.14455655 0.06519576 -0.04451454 0.00046954] Cos Similarity tf.Tensor(0.28262123, shape=(), dtype=float32) (128,) (128,) [-0.13117164 -0.16986033 -0.05455984 -0.18782118 0.00268107 0.03667995 0.0408338 -0.03852613 0.00502796 -0.0109342 -0.09500857 -0.01483697 -0.00739063 0.14476815 -0.00042829 0.12096037 0.00598383 -0.06813818 0.16438265 -0.08624405 0.03977724 0.1730619 -0.05436422 -0.04113516 0.01420686 0.00783246 -0.15108076 0.01417313 0.11034028 0.13368292 -0.12129954 -0.03822883 -0.01788217 -0.01142493 -0.08833718 -0.0047336 0.0110797 0.04226857 -0.01678816 0.0641242 0.20948204 -0.00288632 -0.00127292 -0.00157851 0.17291375 0.06442771 0.00695352 -0.01080867 0.00604207 0.01151062 -0.00240362 0.00528591 -0.01172149 0.00294461 0.00996994 0.01290908 -0.0368162 -0.01837705 -0.02405533 -0.00798557 0.20956649 0.22820707 0.15905087 -0.00243572 -0.0622956 -0.10370553 -0.00261143 -0.00775827 0.00204178 0.03417644 -0.02746263 0.10509596 0.00285155 -0.00229084 0.00369399 0.00284477 0.13755782 -0.11893605 0.00490775 -0.13815747 -0.01223215 -0.04847996 0.00758696 -0.09293136 -0.04483862 -0.21558163 0.09065952 0.00621697 -0.01016531 -0.08686294 -0.15785064 0.09156095 -0.02102344 -0.00300655 0.00589077 -0.21685083 0.06585812 -0.13314486 0.00163489 0.00175473 -0.01476329 0.0767549 -0.03582967 -0.17145444 -0.00577985 0.00097633 0.16432776 0.0201135 -0.02013124 0.23081489 -0.0518161 0.07609617 -0.00033291 -0.14203238 0.02275238 0.20853408 0.00979505 0.01071682 -0.17141156 0.00892873 0.00339073 0.10546549 -0.01306876 -0.04405318 -0.04354593 0.08215051 0.06181475 0.00854893] [-0.06420276 -0.13904765 -0.04320852 -0.07031462 -0.01283663 0.00416758 0.06682272 -0.03272822 0.00771022 0.00076845 0.08914839 -0.00514376 -0.00191136 0.1302225 0.07562487 0.12505452 0.00203387 -0.05930436 0.16178814 -0.12282377 -0.04377203 0.1569961 0.01620037 0.08455632 0.02006144 0.01816135 -0.07447974 0.00725841 -0.05825654 0.1795647 -0.14744022 -0.02840569 -0.01992872 -0.00333671 -0.08406638 -0.01795305 0.00997442 -0.02447883 -0.00934801 0.06268346 0.2013168 -0.00206749 0.00206889 -0.01803979 0.12327537 0.11438711 -0.06398517 -0.00320749 0.00082739 0.00587813 -0.00277419 0.00746433 0.00359083 0.0045244 0.01100821 0.01257351 0.19683275 -0.01674576 -0.00248983 -0.00814332 0.13260098 0.1540458 0.14653212 0.01486136 -0.16007282 -0.18552698 -0.00908783 0.00110855 0.00127548 -0.03754542 0.08354708 0.09712538 0.00907861 0.00819852 0.00159644 -0.00380442 0.17172948 -0.17527401 0.00597294 -0.173601 -0.00757886 0.00709358 0.00751198 -0.15729176 -0.00285431 -0.16834515 -0.01580109 0.0069087 -0.00762003 -0.10704426 -0.01807845 0.17890348 -0.01168585 0.00715822 0.00264482 -0.17614833 0.11068854 -0.14815506 0.00453907 0.12796916 0.17206973 0.17137326 -0.08256188 -0.16873202 -0.00138992 0.00137164 0.12562248 0.00492079 -0.00328626 0.16558824 -0.03177977 0.03096744 0.00651593 0.04365571 0.04791781 0.19422361 0.08910199 0.01153343 -0.1909858 -0.00421522 0.00271773 0.00185321 -0.01080344 -0.04574678 -0.09302695 0.02535877 -0.02838035 0.00776599] Cos Similarity tf.Tensor(0.77887785, shape=(), dtype=float32) (128,) (128,) [ 2.01725990e-01 9.36747789e-02 5.83630651e-02 1.68094054e-01 -1.56368114e-04 1.08066173e-02 -1.30485855e-02 1.38024956e-01 3.98535840e-03 -1.31449942e-02 -3.46496925e-02 -3.39740179e-02 1.34277344e-02 1.38752073e-01 2.96904650e-02 1.34065211e-01 -5.04149590e-03 8.54511261e-02 7.43064135e-02 1.05197206e-01 -3.58502455e-02 -1.03095107e-01 1.12385780e-01 -1.47655889e-01 -2.62424927e-02 -4.45139455e-03 1.91165492e-01 -1.48233483e-02 4.47230190e-02 -1.28029615e-01 -1.68658718e-01 -7.40281045e-02 1.88585427e-02 -2.38800491e-03 -7.95408431e-03 1.72394644e-02 -1.34787208e-03 6.96883574e-02 -6.03790069e-03 8.10578242e-02 4.02669981e-02 -7.58363400e-04 -1.01476638e-02 -7.77156383e-04 -1.14067830e-01 3.96214761e-02 -3.16826776e-02 8.05841014e-03 9.49155632e-03 -6.61777100e-03 1.03318477e-02 9.77472286e-04 -1.80815067e-02 7.22943107e-03 -1.21479854e-02 9.75155085e-03 6.47570789e-02 -5.29401843e-03 7.38216890e-03 -8.54484085e-03 2.99671739e-02 1.77653208e-01 1.92292333e-01 -2.09112093e-02 1.40466884e-01 -2.52480302e-02 -7.12834205e-03 -3.17460671e-02 -4.81759990e-03 -9.45518201e-04 -1.63958848e-01 3.17285657e-02 1.48501748e-03 4.62110760e-03 -7.94406887e-03 -1.61237502e-03 1.19684644e-01 -9.32071507e-02 -4.44711326e-03 1.75810024e-01 -1.39576402e-02 -3.92889930e-03 1.61717087e-03 4.85265516e-02 2.08654813e-02 1.50054559e-01 -2.52765626e-01 6.33854559e-03 2.31803558e-03 -1.04493879e-01 7.79630244e-02 -8.25411230e-02 -5.25658671e-03 3.60361673e-03 1.11195247e-03 1.62953600e-01 2.31583533e-03 1.93491474e-01 7.72798015e-03 -2.57757843e-01 -2.28428394e-01 1.42862918e-02 1.96511120e-01 -3.79055664e-02 -1.74824204e-02 -2.11528828e-03 2.28468943e-02 1.03626596e-02 -1.77579708e-02 -6.26718476e-02 3.24648768e-02 -4.09926437e-02 -4.37862566e-03 -1.96859673e-01 -5.01455134e-03 -1.80644989e-02 -5.73532619e-02 -2.19587944e-02 -2.23234728e-01 -2.03006938e-02 -7.92701170e-03 -4.04180661e-02 2.85675144e-03 -1.45550743e-02 1.71405300e-01 1.12233991e-02 1.47999048e-01 -2.15333095e-03] [ 2.78203879e-02 7.06102252e-02 1.47254586e-01 1.72326311e-01 2.23587360e-03 -4.54041399e-02 -1.19633093e-01 1.19909145e-01 5.93398884e-03 -1.65959746e-02 -1.14883527e-01 -2.16072742e-02 1.35754542e-02 3.38954143e-02 2.90902909e-02 3.44903246e-02 -7.20896572e-03 9.84456614e-02 4.14255708e-02 -1.08053230e-01 2.85224803e-02 -7.02502877e-02 6.55990392e-02 -1.75264299e-01 -1.03353546e-03 -1.75861118e-03 2.23353595e-01 -2.02845549e-03 9.90444981e-03 4.75014597e-02 -1.16963431e-01 3.18240263e-02 -1.61074870e-03 2.35322444e-03 -6.83807060e-02 8.60046502e-03 -1.42316869e-03 -1.22304663e-01 -5.79354819e-03 1.56906754e-01 9.28015932e-02 -4.47932119e-03 -3.52107408e-03 -3.47442226e-04 1.96042657e-01 1.80788830e-01 -8.57488066e-02 2.68140715e-03 1.13154976e-02 4.59417747e-03 6.58689719e-03 6.36370666e-03 -1.07090222e-02 3.54008400e-03 -1.03440722e-02 7.52632506e-03 1.26944304e-01 1.32669392e-03 6.05730433e-03 -2.20575603e-03 6.80859089e-02 2.43417472e-01 -6.05275631e-02 -3.29724364e-02 1.74087629e-01 -8.51532891e-02 -1.88134909e-02 2.78991591e-02 -5.00666630e-03 5.03108688e-02 -8.47511366e-02 5.86690791e-02 -4.10104374e-04 3.95942014e-03 -6.97987620e-03 -5.66221029e-03 2.39615947e-01 -1.46825582e-01 1.06579356e-03 1.11157201e-01 -1.83874071e-02 -1.33333746e-02 6.19835220e-03 5.25560006e-02 1.08186848e-01 6.49035303e-03 -1.03813618e-01 9.15423222e-03 -3.90310423e-03 -9.39402729e-02 4.26411405e-02 7.18171448e-02 -1.23061771e-02 3.27636441e-03 1.29630462e-05 8.99502411e-02 -1.00937746e-01 1.15815222e-01 1.29540823e-03 -2.25524485e-01 -2.36508563e-01 2.00202078e-01 2.12832093e-01 1.11558037e-02 -6.83033653e-03 9.42676235e-03 6.67697117e-02 1.39617883e-02 -2.66815759e-02 -3.89253460e-02 3.53584476e-02 -5.09059392e-02 -1.13304630e-02 -1.94348350e-01 -3.61552797e-02 -6.09091222e-02 -5.81721961e-02 -1.98315345e-02 -2.12383896e-01 -5.31156501e-03 -9.18235723e-03 -9.67448577e-02 1.16847027e-02 -2.23881546e-02 1.52756095e-01 4.10779752e-02 1.05515532e-02 3.52182542e-04] Cos Similarity tf.Tensor(0.6841049, shape=(), dtype=float32) (128,) (128,) [ 0.08895999 0.11486552 0.11440799 0.02584407 0.02049886 -0.09986307 -0.04238768 0.12987104 -0.00660848 -0.00329286 -0.19162802 0.02490625 0.00616465 0.02220134 0.09466815 -0.01049474 0.03585907 0.00635908 0.16499496 0.01723049 -0.19999886 -0.11180027 0.16610697 -0.03751775 0.00441998 0.01165063 -0.07177273 0.0271051 0.01570667 -0.07557585 -0.15809771 0.03618601 -0.00951939 0.03192025 0.04009371 0.00641301 0.03843632 0.14247452 -0.02733546 0.06992717 -0.04188327 -0.01925376 0.00408077 0.01304004 0.06887011 0.04684263 0.00783408 0.04632876 0.01739269 -0.00144144 0.00063812 0.00913017 0.01102736 0.00923537 0.02169329 0.00734443 0.12171852 0.00921933 0.03300621 0.01483995 0.14551866 0.01344817 -0.13459705 0.03615941 0.01888549 0.20365392 0.02344508 0.16419512 0.02108741 0.19115506 0.10074334 -0.04808316 0.00572692 0.01604037 -0.002353 0.02461167 -0.04657698 0.14898029 0.00535898 0.15133664 0.00323107 0.00931993 0.017198 -0.0097208 -0.07786254 0.09904492 0.1819055 0.00856836 0.00023477 -0.03682891 -0.17558232 0.13869108 0.02836196 0.01683971 0.01919101 0.16679339 0.03437895 -0.11803205 0.01471318 -0.06673045 0.19553113 -0.13381684 0.21111098 -0.04456073 0.01452763 0.01726156 0.20488319 0.0157653 0.03607023 -0.16573207 -0.14181598 0.12811117 0.01779907 -0.0113059 -0.08776799 0.2044874 0.14243196 -0.01750972 -0.1322426 -0.01047383 -0.01133184 -0.13661245 0.03458156 -0.00774545 -0.06172191 0.0157457 -0.02629539 0.00588303] [ 0.17237505 -0.05002405 0.06179872 -0.13464648 0.01859644 -0.00957103 -0.07529655 0.10712054 -0.03279437 0.00477332 -0.16270722 0.01933323 0.02482686 0.02225143 0.09672359 -0.05289664 0.03255869 0.05243879 0.18533409 0.091225 -0.11566699 -0.10154467 0.0318072 0.08375986 0.04217147 0.0108896 0.1246366 0.02126011 0.07581979 0.03515536 -0.16594715 0.17904559 0.00710116 0.04118638 0.03580948 0.01253882 0.03326868 -0.03970667 -0.01702404 0.09508087 0.03804296 -0.01525711 0.01000599 0.00367441 0.07460432 0.16629782 -0.09388358 0.04690968 0.02662301 0.04964991 0.00568428 0.02428713 0.01886333 0.02417371 -0.01344729 0.01661949 0.09011345 0.00170324 0.0130187 0.01275156 0.01539236 -0.09865578 -0.13418385 0.02875454 -0.12383925 0.1170479 0.00948579 0.1369754 0.02899335 0.13043408 -0.08260994 -0.107688 -0.00415475 0.00697159 0.0019045 0.02913245 0.17322914 -0.04915595 -0.00461446 0.04321633 0.01038138 -0.02770102 0.02621722 -0.15804161 -0.17301758 0.05264256 -0.03992605 0.00682961 -0.00206071 0.08456297 -0.1477642 0.15458582 0.03506305 0.01739944 0.02142122 0.17269048 0.17231715 -0.1789615 0.01331321 0.12834483 0.09834249 0.16132581 0.12456791 -0.02011786 0.00952518 0.03332802 0.18569712 0.01920424 0.02630643 -0.18938072 0.02411344 -0.16303617 0.01205606 -0.02039373 -0.01978737 0.1721743 0.1547609 -0.01807838 0.15140581 0.01420838 -0.0005168 0.13859002 0.02824705 -0.03711851 -0.137401 0.02069363 -0.08505607 -0.00576438] Cos Similarity tf.Tensor(0.4885413, shape=(), dtype=float32) (128,) (128,) [ 0.16888008 0.1243185 -0.09058465 -0.07305957 -0.00726647 0.0323911 0.10206312 0.03248087 -0.02111121 0.01090945 -0.18287079 0.03301555 0.03010717 0.07138903 0.08092295 -0.1035006 0.02520456 0.18236347 0.13131692 -0.09332347 -0.00663536 -0.1278286 -0.05840336 0.05638932 -0.00334106 0.0186096 0.16813846 0.00313055 -0.19099794 0.06518608 -0.18985724 0.18524818 -0.03587536 0.03212855 -0.02188008 0.03244077 0.01160375 -0.06713494 -0.03977033 -0.06751621 0.05731296 -0.01628975 0.01021123 -0.01003883 0.1998412 0.05960464 0.00045828 0.0263696 0.01772846 0.02136659 -0.00148846 0.00779626 0.01872052 0.01257266 0.02036413 0.03424181 -0.01041553 -0.00871323 0.02115137 0.0041716 0.07683989 -0.03325023 0.1746537 0.03442719 -0.05507281 -0.04152063 0.00140919 0.14774987 0.02207062 -0.04123626 0.00642611 -0.02414174 -0.01979587 0.03925972 0.01061409 0.01700982 0.08211549 0.01878566 -0.02516689 -0.09577331 0.0004984 -0.02202471 0.00793187 0.08560165 -0.19148982 0.02058099 -0.05412886 0.01552116 -0.00393476 0.0214375 -0.12182234 0.197101 0.01402168 0.02692872 0.03921727 0.16774584 0.02214499 -0.14359899 0.00438993 -0.05926905 0.19651558 0.17795709 0.20846479 0.13726605 0.00472949 -0.03406194 0.2145983 0.01272213 0.0215678 -0.19425657 -0.11473682 0.09855457 0.0075571 -0.01623738 -0.02905867 -0.07270384 0.16117276 -0.0084759 0.14668994 -0.0182739 -0.03329843 -0.04517449 0.03301342 0.00696064 -0.16514172 0.01946056 -0.10269123 -0.00821708] [-1.79819524e-01 -9.93613973e-02 -3.82265188e-02 1.15006424e-01 -3.25013581e-03 2.76509181e-05 -1.11979984e-01 -1.05359964e-01 3.18426872e-03 -3.92037956e-03 5.82883023e-02 -9.69884626e-04 -2.54247361e-03 1.77823588e-01 7.42153823e-02 2.66789347e-02 2.74668448e-03 1.77453339e-01 -1.60795301e-01 -1.90163493e-01 1.26803890e-01 -1.89271104e-02 4.60718572e-02 -1.50914386e-01 1.25305364e-02 -8.32295697e-03 1.08103029e-01 5.97191369e-03 -1.85783625e-01 -4.82009053e-02 3.35146561e-02 9.76026729e-02 1.50532846e-03 -2.12625731e-02 8.64365473e-02 4.32541012e-04 4.43345821e-03 1.75675035e-01 -1.54019566e-02 1.43405989e-01 1.83881387e-01 4.83724230e-04 -1.96980895e-04 3.96755757e-04 1.49100959e-01 1.10272020e-01 1.19446978e-01 -2.19476558e-02 4.32117656e-03 6.22847490e-03 -4.05103841e-04 8.16503819e-03 -1.46570439e-02 3.33631993e-03 -8.69415980e-03 1.18027329e-02 -1.29122078e-01 -4.30599088e-03 -1.08315395e-02 -4.00057109e-03 -5.18369339e-02 1.95162699e-01 1.71312079e-01 -1.07312361e-02 -2.17852257e-02 1.44867018e-01 -4.61325934e-03 1.31414980e-01 -5.34131192e-03 1.06025979e-01 -3.48399654e-02 -1.29518971e-01 -8.46333615e-03 3.36503936e-03 4.65801459e-05 -1.11692748e-03 -5.79225831e-02 5.50866909e-02 5.12191607e-03 -1.50156930e-01 -1.68143418e-02 -1.35625275e-02 -2.37784887e-04 -2.55881660e-02 -1.69963226e-01 -1.50774151e-01 -1.29005417e-01 5.18284272e-03 -6.18184125e-03 -6.65492788e-02 -4.08113077e-02 -7.69943967e-02 -6.17293874e-03 8.12636688e-04 4.20851540e-03 1.32140502e-01 9.27935094e-02 -1.10357806e-01 1.82428081e-02 -1.34421796e-01 1.07645705e-01 1.25187680e-01 1.05471909e-01 -1.19456694e-01 -5.25680324e-03 5.36891958e-03 -1.03391528e-01 -2.17941925e-02 -8.46819486e-03 -5.64778363e-03 -1.20483138e-01 -1.71246752e-01 2.49677338e-03 -1.61164880e-01 3.14091668e-02 -7.74507001e-02 -1.43363982e-01 -9.96465050e-03 6.97920397e-02 5.16010169e-03 -1.35597102e-02 6.42339140e-02 8.59260280e-03 -3.29076499e-02 1.74854621e-01 -5.85565567e-02 -1.12492643e-01 -2.44236179e-03] Cos Similarity tf.Tensor(0.16038002, shape=(), dtype=float32) (128,) (128,) [ 0.04620707 0.16560568 0.00707358 0.01479484 -0.00208275 -0.01547212 0.20510164 -0.13175875 0.00364992 -0.00530476 0.02694982 0.013702 0.01182762 0.17136285 0.05149397 -0.18710752 -0.01242562 0.04803839 0.18021926 0.04222241 -0.07204953 0.0279964 0.19605103 0.10044152 0.00642544 0.00714877 0.2018569 -0.01405874 -0.14610696 0.07375515 -0.17389657 0.02916905 -0.02345497 -0.01747976 -0.221568 -0.01251052 0.00697596 -0.02005844 -0.00088067 0.05432698 -0.0379302 0.00578468 -0.00064389 -0.00484121 0.01739427 0.06947087 0.11002359 -0.00317431 -0.00276077 0.00266884 -0.00760133 0.00858777 -0.00168842 0.00098164 0.00561775 0.01005283 0.01095015 0.00794964 0.0101663 0.00282678 -0.12177502 0.0174999 0.17275241 -0.01149091 -0.21754728 -0.21563964 -0.02023334 0.08403388 -0.00157762 -0.16039829 0.11391668 -0.17951375 0.01080961 -0.00076905 0.00173943 0.01249337 0.0362812 -0.02723936 0.00388648 0.16886736 -0.00104216 0.00272841 0.00458913 -0.16770951 0.08569455 0.02482487 -0.17494684 0.01748762 -0.01013348 0.06531182 0.00144144 0.17103435 -0.01685926 0.01394211 0.00735102 -0.10905931 -0.10859179 0.15485483 0.01021992 0.00467865 0.08250856 0.04464283 -0.14902638 -0.05248083 -0.00677583 0.00851214 -0.04728487 0.00313668 -0.00195819 0.20459299 0.07142762 0.20223942 -0.00609856 0.05435123 0.0027399 -0.18176027 0.02533012 0.01164222 0.11671161 -0.01522563 -0.00671443 -0.04455109 0.00151305 -0.00596956 0.06251042 0.03878513 -0.0024996 0.00934461] [ 0.05595735 0.09546234 -0.00441097 -0.09043021 0.00507267 0.00389795 0.16636448 -0.09083124 -0.00133659 0.00148644 0.04208716 0.00553004 0.0099681 0.12983368 0.12533326 -0.17724083 -0.0168834 0.1565218 0.18033597 -0.07535142 -0.08856504 0.16048537 0.15895651 0.14999767 0.02467921 0.01624411 0.140236 -0.01578599 -0.16611455 0.10722601 -0.1719399 0.05057048 -0.01803192 -0.02952294 -0.16788982 -0.01540505 0.01463236 -0.17472704 0.00315259 -0.01671832 0.08781407 0.00401689 0.00860447 -0.00423029 0.0285252 0.08857922 0.13134852 -0.00024502 -0.00058139 0.02559215 -0.0071473 0.01172731 -0.00326649 0.00041743 0.00924701 0.01247796 0.10148344 -0.00776086 0.01220272 0.00310419 -0.081614 0.06130886 0.15729873 0.00111626 -0.1828726 -0.15149339 -0.00785747 0.08410114 0.00685031 -0.16531636 0.08260839 -0.13147973 0.01651177 -0.00182297 0.01049076 0.00606251 0.11926986 -0.04765539 0.00162114 0.0257131 -0.00643819 -0.06267078 0.01088656 -0.17167738 -0.07480334 0.12839875 0.02464057 0.00985662 -0.01245862 0.05324316 -0.15128687 0.1704711 0.00421686 0.01522464 -0.01017745 -0.07666437 -0.06386963 0.13172023 0.00698767 -0.0065577 0.14281774 0.14139786 0.01357609 0.02108539 0.00439763 0.03009959 0.15995498 0.00340597 0.00999718 -0.15822461 0.16654359 0.12688702 -0.0028224 0.1573213 -0.01668234 0.11156936 -0.11801119 0.01200707 0.17140594 0.00991947 -0.00602578 -0.04905192 -0.00661879 -0.01549867 0.09066462 0.00425848 0.00634037 0.00255721] Cos Similarity tf.Tensor(0.67663956, shape=(), dtype=float32) (128,) (128,) [-2.49168769e-01 1.29889429e-01 -9.61450338e-02 -2.94222068e-02 -3.53350816e-03 -1.50435865e-01 1.51736587e-02 3.14037222e-03 -1.92678161e-03 -1.18361386e-02 -1.91413924e-01 -1.44671528e-02 -6.04340248e-03 2.15159103e-01 4.69240211e-02 3.91159914e-02 -7.64070498e-03 2.05533281e-02 1.15867086e-01 -5.65258563e-02 1.96839049e-02 -3.75647321e-02 3.36017236e-02 3.95543315e-02 1.00173037e-02 -2.26907386e-03 1.49058819e-01 -1.22058028e-02 1.10010080e-01 1.23635560e-01 -2.07575813e-01 6.85808137e-02 -1.42705040e-02 -1.53597351e-02 -6.35806099e-02 -3.95178795e-02 1.40037192e-02 -1.81809038e-01 -1.85156404e-03 -3.44094969e-02 -1.24868758e-01 -1.48710776e-02 -9.02094878e-03 -4.08084923e-03 3.31238098e-02 1.11685134e-01 5.94554469e-03 -5.55234635e-03 5.67356823e-04 5.11217909e-03 5.13888104e-03 5.13123209e-03 -2.11889856e-02 1.57080928e-03 3.00121936e-03 9.56101995e-03 -5.84448427e-02 -7.77545152e-03 -2.25743954e-03 -8.62148125e-03 4.19898219e-02 1.66586414e-01 2.29285598e-01 -1.12650252e-03 -1.85977101e-01 6.91479743e-02 -1.22896694e-02 -2.61947811e-02 -4.26108530e-03 1.65004939e-01 3.30195986e-02 -1.42167658e-02 -3.08535015e-03 2.97956029e-03 4.61588753e-03 -5.05646109e-04 1.09616101e-01 9.58796516e-02 1.47089409e-03 2.44697798e-02 -2.16231048e-02 8.71072616e-03 7.01853307e-03 -1.61947057e-01 -1.77003324e-01 -1.00916170e-01 1.98019639e-01 4.26582992e-03 -1.55484490e-02 1.10798888e-01 -5.26727457e-03 1.56518355e-01 -1.67062841e-02 6.44948985e-03 1.09904725e-02 -4.18628268e-02 -9.31035280e-02 -1.36034504e-01 -8.80408008e-03 -4.96496446e-02 -1.00095458e-01 1.54584005e-01 1.02754086e-01 1.75255477e-01 -1.10431984e-02 1.11273900e-02 1.67571813e-01 -4.70832968e-03 -1.20193493e-02 -1.32779196e-01 1.60438027e-02 -5.77754304e-02 -3.95688432e-04 1.38907153e-02 -2.23351549e-02 1.09145537e-01 1.20542280e-01 3.47984169e-04 1.71362430e-01 -3.30616203e-05 5.17092878e-03 1.67789742e-01 1.06834648e-02 -4.54867333e-02 -2.14346230e-01 1.64088339e-03 2.38879956e-02 -6.93065161e-03] [-1.15308195e-01 1.21640846e-01 -6.78396896e-02 -6.24984279e-02 -1.38411988e-02 3.20771593e-03 7.74097294e-02 5.59725240e-02 -3.28111858e-03 -1.08032515e-02 -2.26081967e-01 -2.37449910e-02 -3.94026004e-03 2.25329593e-01 8.34394842e-02 -3.76948295e-03 -2.21042931e-02 2.48831868e-01 1.27984196e-01 -6.37371242e-02 3.81179899e-02 1.55941565e-02 -1.56142414e-01 -4.35161358e-03 -1.17734345e-02 -1.01208896e-03 1.68176591e-01 -3.18108946e-02 1.01555966e-01 1.26924887e-01 -2.29840711e-01 -1.98249575e-02 -1.30589427e-02 -1.63481925e-02 -1.15889385e-01 1.21805133e-04 -7.56304478e-03 -1.02584131e-01 -2.64289766e-03 -1.46219850e-01 7.53924176e-02 -1.38838869e-02 -6.63563982e-03 -1.65145402e-03 2.02648658e-02 -2.97709163e-02 9.58600417e-02 2.98968586e-03 -6.26200694e-04 1.33853033e-02 2.61351606e-03 4.62858751e-03 -9.74625163e-03 1.93413591e-03 -2.88150180e-03 1.59045542e-03 -1.00146912e-01 -7.09193433e-03 -2.89503695e-03 -1.68696921e-02 9.76579785e-02 5.72563000e-02 1.78340107e-01 -7.11830053e-03 -1.45378634e-01 3.23273018e-02 -1.82811040e-02 4.05835770e-02 -6.37095608e-03 -5.70626520e-02 -9.44255851e-03 -7.07919374e-02 -1.99559750e-03 9.22967400e-03 -4.68052429e-04 8.96045705e-04 1.60639331e-01 7.37752691e-02 8.13789593e-05 9.75013301e-02 -1.92586128e-02 -1.84152194e-03 3.63913737e-03 -1.01318210e-01 -1.97218373e-01 1.55956984e-01 5.87673634e-02 6.29067421e-03 -2.05972716e-02 1.07511006e-01 6.88620955e-02 1.66583702e-01 -2.72535235e-02 4.51822765e-04 5.00440085e-03 1.64845809e-01 -1.36094838e-01 -4.25290018e-02 -9.28526092e-03 1.79294214e-01 -4.36361693e-02 -6.60582557e-02 1.29477173e-01 1.24232769e-01 -2.38568857e-02 2.09611165e-03 2.20898554e-01 5.03963791e-03 -1.77243855e-02 -1.30106702e-01 3.85362692e-02 -5.66289611e-02 -1.27521460e-03 3.39074805e-02 4.25397651e-03 1.73537105e-01 1.56750590e-01 -8.17696098e-03 1.37075916e-01 -1.40941665e-02 -5.28371369e-04 -8.99203122e-03 5.21314098e-03 -4.24283333e-02 -1.89780906e-01 3.00501082e-02 9.73941982e-02 -9.89599433e-03] Cos Similarity tf.Tensor(0.676798, shape=(), dtype=float32) (128,) (128,) [ 1.21475868e-01 1.14601262e-01 7.34315813e-02 -7.31116012e-02 -5.24678221e-03 -1.16373554e-01 5.88045307e-02 1.22152172e-01 -2.91355210e-03 -1.08961929e-02 -1.23097219e-01 -6.24093320e-03 -9.03576054e-03 1.60027936e-01 4.84234327e-03 -3.42960358e-02 1.48995931e-03 4.98373657e-02 1.54962212e-01 -1.92588404e-01 -1.76923489e-03 -1.87374383e-01 -2.53447592e-02 2.83687636e-02 -9.65588260e-04 1.49213988e-03 1.60304964e-01 -1.15546044e-02 4.36135679e-02 1.68071508e-01 -2.01483175e-01 2.01736003e-01 1.49761252e-02 -5.51375095e-03 4.95813489e-02 -1.55200763e-02 3.38762603e-03 -1.22198522e-01 3.36280745e-03 3.69042568e-02 -1.43763527e-01 7.63679761e-03 -9.29858442e-03 -1.05221625e-02 2.30456620e-01 2.01684967e-01 3.67059693e-04 -2.47389195e-03 4.07095021e-03 5.45740779e-03 6.39626523e-03 6.85412623e-03 -3.00506828e-03 6.01039594e-03 2.29493156e-03 6.42758422e-03 -1.17198519e-01 1.15462206e-02 -3.67170363e-03 -3.40262521e-03 1.10083878e-01 1.56541204e-03 1.54650703e-01 2.04526470e-04 -6.89580590e-02 -1.46431401e-01 -3.64518678e-03 1.24438636e-01 3.86457564e-03 2.42565060e-03 -4.65010628e-02 5.55512011e-02 1.08508347e-02 6.95249997e-03 9.37282108e-03 -8.55775434e-04 -1.44568175e-01 3.36650573e-02 8.96180572e-04 -5.36742769e-02 -2.46134400e-02 -6.11732528e-03 1.17246043e-02 -5.29660285e-02 -1.42377475e-02 1.04900692e-02 5.59403524e-02 5.19437203e-03 -7.75360176e-03 1.59801245e-01 1.31678328e-01 1.63777426e-01 3.12931603e-03 3.38084577e-03 4.29806486e-03 1.34637892e-01 1.15182385e-01 -4.34644371e-02 -6.28873473e-03 9.69778448e-02 -7.19528198e-02 -7.48108700e-02 1.14371248e-01 -9.85892043e-02 -5.37080364e-03 8.68319534e-03 1.93973452e-01 -1.42539700e-03 -1.00546330e-02 -1.48998588e-01 1.07346565e-01 -1.41720206e-01 6.40632445e-03 1.70992449e-01 -2.49313470e-02 -6.22331724e-02 -8.71344209e-02 -7.45771360e-03 1.91238657e-01 -7.36434769e-04 1.09572324e-03 1.19619474e-01 1.05114123e-02 -2.09148619e-02 -2.19724521e-01 3.80037092e-02 -7.82911256e-02 2.14904803e-03] [ 1.25386640e-01 1.33721188e-01 9.40568075e-02 -1.08925283e-01 -1.99680161e-02 -1.16566017e-01 -1.68556750e-01 -4.96648550e-02 -1.27580622e-02 -3.32180760e-03 1.92290202e-01 2.80782487e-02 2.30973996e-02 -3.14099230e-02 1.00001297e-03 -1.97300836e-01 9.36959311e-03 4.91806231e-02 -1.21027082e-01 -1.64734945e-01 7.05829263e-02 -1.21697225e-01 -1.19737908e-01 4.49420698e-02 1.46661978e-02 2.01575831e-02 1.56285241e-01 -9.24525375e-04 -1.08889833e-01 1.71672031e-01 1.20924868e-01 -4.64710817e-02 -5.94204850e-03 -4.25271271e-03 -1.94052801e-01 1.63073540e-02 1.57802887e-02 -1.49322271e-01 -1.45302070e-02 -6.75338283e-02 1.35089785e-01 1.55410217e-02 -1.19526740e-02 2.59272531e-02 1.52258575e-01 1.57063320e-01 3.36387707e-03 1.34867150e-02 1.76497586e-02 1.46078253e-02 1.77641530e-02 -2.90521048e-03 1.36991329e-02 7.39041483e-03 9.12797544e-03 1.04970150e-02 -3.04159857e-02 2.34190430e-02 1.67946685e-02 1.27657484e-02 1.21203385e-01 1.64769411e-01 2.08316520e-02 -9.38071986e-04 -1.23637468e-01 -5.78871146e-02 -1.19819455e-02 1.37162372e-01 4.16898401e-03 1.05262853e-01 5.05256131e-02 1.72958389e-01 -1.01729995e-03 1.97112318e-02 -7.63393706e-04 1.19440146e-02 -2.63970252e-02 -5.88191338e-02 -2.56616343e-03 7.21923113e-02 -1.14389919e-02 8.95091580e-05 5.23572136e-03 6.85695112e-02 2.03199700e-01 1.00687183e-01 -9.66047421e-02 6.86954800e-03 -6.49035024e-03 -1.73298344e-01 2.41102725e-02 4.94255349e-02 1.55635495e-02 2.02772506e-02 -8.59967060e-03 4.57023084e-02 4.60873730e-03 -1.40652910e-01 -8.55893269e-03 2.06475452e-01 1.26370296e-01 -1.01364613e-01 -5.57019301e-02 -1.00855611e-01 1.35399438e-02 -1.54071096e-02 1.76329970e-01 -3.75176955e-04 9.59993165e-04 -1.55429035e-01 4.71162470e-03 -1.87599286e-01 -8.50161188e-04 1.48291722e-01 -1.91533770e-02 -2.01933876e-01 -9.67917219e-02 -6.31920435e-03 -7.03686327e-02 1.70834735e-02 -1.54849689e-03 4.91724163e-02 3.53146344e-02 8.61273240e-03 -5.91403879e-02 4.32598330e-02 -9.01759267e-02 1.08819576e-02] Cos Similarity tf.Tensor(0.34603024, shape=(), dtype=float32) (128,) (128,) [ 0.18369575 0.14874633 0.14241397 0.01898078 -0.01376878 0.01366474 0.09562034 0.08115721 0.00201126 -0.00527741 -0.01153946 0.00410252 -0.00592164 -0.14735623 0.0690929 -0.09919067 -0.00054625 0.07285758 0.09187106 -0.04880522 0.17409718 0.11692086 0.1583131 0.07658514 -0.00181143 0.00316063 0.17120928 -0.00131794 0.04452404 0.01254296 0.20514174 0.05597588 -0.00829007 -0.00287767 -0.1389184 -0.02096337 -0.00877314 -0.11659028 0.0070738 -0.17317417 -0.11831831 -0.00231483 -0.00342066 -0.0067135 0.1375479 -0.09504162 0.10927256 0.01256909 0.00833347 0.01256534 0.00964773 0.00070025 0.00264594 0.0036675 0.00676034 0.01184326 -0.14978564 -0.00277661 0.00724901 -0.00191329 0.19689958 -0.17857464 -0.19266108 -0.00936396 0.11567174 0.19389574 -0.00096352 -0.16374432 -0.00021941 -0.04893347 -0.0409835 -0.06133257 0.00745251 0.00492573 0.0016405 0.00783301 0.14397058 -0.05942579 0.00210814 -0.18503377 0.00203814 -0.11329432 -0.00355671 -0.12111333 0.15810451 0.07973 -0.04419128 0.01053585 0.00044562 0.16498479 -0.04953301 0.07486893 -0.00328476 0.00922326 0.01299234 0.18644105 0.06947457 -0.02207638 -0.01697882 -0.06202848 0.10051923 0.0069484 0.174346 0.07047857 -0.00830753 -0.00184007 -0.15634996 0.00476963 -0.01314087 -0.10632768 -0.13646671 0.13650668 0.01361555 0.04243672 -0.01434538 -0.03001405 0.09292599 -0.02448272 0.168751 -0.0336298 0.00637175 0.05220011 0.02166611 -0.00651205 0.01778016 0.06866135 0.02309584 -0.00758657] [ 1.72979832e-01 9.82227400e-02 1.72662303e-01 4.92815413e-02 2.55422876e-03 1.05576878e-02 -4.27647866e-02 9.97102484e-02 8.42250045e-03 -2.86997389e-03 1.67633653e-01 3.79357785e-02 5.27840899e-03 -1.61505058e-01 1.74479917e-01 2.68489122e-02 2.18084324e-02 8.41948539e-02 1.00877278e-01 1.03781238e-01 7.79960901e-02 -4.97671124e-03 1.71632301e-02 -5.60749613e-04 2.51868069e-02 1.04209566e-02 1.41160592e-01 1.82687026e-02 -1.50350019e-01 -6.27697166e-03 1.77927256e-01 -3.46400887e-02 3.65284607e-02 1.55293150e-02 -1.74858645e-01 -2.74788272e-02 3.73722869e-04 -1.65527046e-01 -4.25349362e-03 1.58261303e-02 -1.72274426e-01 -9.61714797e-03 7.02801906e-03 -1.15072448e-02 -6.52833432e-02 -1.67744309e-01 -7.60154873e-02 3.43062878e-02 3.30458134e-02 2.72510089e-02 2.34015323e-02 6.21569064e-03 5.16549833e-02 1.87331457e-02 4.98008952e-02 3.72444764e-02 4.77534346e-02 8.72625876e-03 2.17644591e-02 2.48105787e-02 2.01861501e-01 -1.45343155e-01 -2.09147796e-01 -4.29329369e-03 -9.56795663e-02 1.80690393e-01 1.06942961e-02 -7.49450773e-02 2.65390556e-02 8.67772177e-02 3.49604338e-02 -7.53502920e-02 1.35574220e-02 2.23055482e-02 1.04561411e-02 1.66921355e-02 1.61757201e-01 6.19566478e-02 8.11115280e-03 -1.77838966e-01 1.60469245e-02 -3.17243412e-02 5.29760309e-03 -4.22722585e-02 1.08285144e-01 1.20471545e-01 5.09670489e-02 1.62703544e-02 2.07985211e-02 6.55010343e-02 -1.47530481e-01 -1.22627825e-01 9.85135138e-03 3.44666876e-02 2.80304588e-02 -3.63166928e-02 1.76604435e-01 -3.78780849e-02 3.09472275e-03 1.90075353e-01 1.97495773e-01 -5.75766154e-03 2.02608645e-01 3.66089609e-03 2.20310949e-02 2.79715359e-02 -5.73850125e-02 3.01983990e-02 4.09576260e-02 8.46676454e-02 -1.72092929e-01 1.16490729e-01 5.62694259e-02 7.15556145e-02 -4.06038165e-02 -7.49942064e-02 1.01833701e-01 -2.18934417e-02 7.66395256e-02 6.20322600e-02 9.63865407e-03 -1.95473842e-02 6.36658743e-02 1.69022568e-02 -1.36917591e-01 -2.47521736e-02 2.26605441e-02 -2.04411670e-04] Cos Similarity tf.Tensor(0.59055936, shape=(), dtype=float32) (128,) (128,) [-1.83046833e-01 8.96920115e-02 -5.82469581e-03 6.40183240e-02 1.31381946e-02 -4.42095706e-03 -8.46011266e-02 -7.38645196e-02 -1.26836067e-02 3.57873994e-03 -1.71396226e-01 1.81433409e-02 -6.35413360e-03 -1.49130359e-01 2.08390132e-02 -5.36143295e-02 2.92035425e-03 2.10692566e-02 2.09910497e-01 -5.46841398e-02 3.30676585e-02 -6.14408366e-02 1.53359562e-01 -3.28293703e-02 2.44505107e-02 6.66741282e-03 5.18387221e-02 -2.06331573e-02 5.82961291e-02 1.20127961e-01 -1.13037072e-01 1.98281616e-01 -2.70113200e-02 -2.25333220e-04 -3.98280248e-02 -9.03499685e-03 2.14416850e-02 -8.23365375e-02 -4.42324318e-02 -1.08998232e-01 -1.03443660e-01 1.61252648e-03 3.03348177e-03 -1.61440689e-02 -9.81965438e-02 -3.53976078e-02 -2.67764530e-03 1.54461898e-02 2.63576359e-02 4.25349995e-02 1.77289639e-02 5.95852360e-03 3.37651484e-02 1.13870297e-02 1.62884220e-02 3.78787634e-03 -6.32380322e-02 8.51412583e-03 3.52719314e-02 2.63852309e-02 1.70913860e-01 -1.66165978e-01 1.75347596e-01 1.84743684e-02 -1.14162214e-01 -5.67066744e-02 3.63812968e-03 -1.00617250e-02 2.19941121e-02 1.20012656e-01 1.62386652e-02 5.80438934e-02 1.94138545e-03 2.28449423e-02 1.13676339e-02 1.52134169e-02 -1.04878977e-01 7.16423942e-03 -1.46556832e-02 -1.74873129e-01 2.76293028e-02 -6.41635200e-03 -1.31650525e-03 -1.79552492e-02 -1.44725069e-01 2.07200572e-01 -6.39465675e-02 2.05235258e-02 -3.68296471e-03 1.72348723e-01 7.35571384e-02 1.78625897e-01 -4.41637385e-05 9.66862030e-03 1.64886080e-02 6.82429150e-02 -1.22403562e-01 -2.03085408e-01 1.14753516e-02 8.22477415e-02 2.12070599e-01 7.88822994e-02 1.93781421e-01 4.54107113e-02 4.90655517e-03 -2.13177279e-02 2.19950721e-01 1.54677089e-02 1.90427378e-02 -1.49540991e-01 -1.46405831e-01 -7.11621270e-02 3.36348750e-02 -1.41654566e-01 -5.31276464e-02 -6.79964051e-02 1.46840483e-01 -7.66277127e-03 1.75883994e-01 2.70118676e-02 1.04255648e-02 4.67017181e-02 4.91697565e-02 -3.44926910e-03 -1.58611268e-01 7.50551075e-02 5.00542670e-02 -9.71553661e-03] [-0.06804485 -0.11684632 -0.00788611 -0.14920978 0.00052422 0.03204927 0.03524896 0.12840462 0.00477325 -0.0054789 -0.12236268 -0.01967456 -0.00659404 -0.03243015 0.06406436 0.1366057 0.00700947 0.13434173 0.08029452 -0.19515795 -0.11598985 0.02304374 0.08235516 0.00399343 0.01902342 0.00938838 -0.0948793 -0.02366679 -0.00278611 0.15565471 -0.16520156 0.18180493 0.00045887 -0.01948881 0.09278397 -0.00163805 0.01301305 -0.09968932 0.00377427 0.03465217 0.07305921 0.00128727 -0.01168031 0.0084932 -0.08413779 0.0944632 0.16041124 0.01538396 0.01843567 0.02023107 0.00257952 0.00756311 -0.00258253 0.01324313 -0.02501027 0.00997561 -0.09351248 0.00378408 -0.00588637 0.00621622 0.06960814 -0.09529436 0.11350867 0.00605958 -0.2259152 -0.09112891 0.00148774 0.00248717 0.00091209 -0.17649962 0.05284483 0.05070334 -0.00327139 0.0196675 -0.0183921 0.00797382 0.17713699 -0.04177551 -0.00377348 0.16123158 -0.01113152 -0.00032656 0.00828806 -0.05822089 -0.01805784 0.11733304 0.14398411 0.00265016 -0.00917585 0.13009542 -0.20738365 -0.07664691 -0.0036431 0.00446156 0.00733551 0.19963042 -0.18294589 -0.14111105 -0.00922063 -0.13085914 0.1392449 -0.11114302 0.12317196 -0.12349978 -0.00028599 0.00983621 0.12557267 0.01678298 -0.00933057 -0.14635293 0.03359507 -0.02905858 0.00153451 0.09465031 -0.03212626 0.12971285 0.16755046 -0.02510048 0.21645154 -0.00157288 -0.00707471 0.16022249 0.01422889 -0.00861683 0.12557252 0.01493686 -0.03496923 -0.01036106] Cos Similarity tf.Tensor(0.30739886, shape=(), dtype=float32) (128,) (128,) [-0.02021736 0.06795046 0.03055968 0.16640925 0.00946801 0.15184493 -0.03837711 0.17193863 0.00727837 0.00241695 -0.01703809 -0.00689442 0.01153872 0.14266965 0.1818621 -0.2444708 -0.00094658 0.25298268 -0.01408562 0.00423643 -0.06188734 -0.13810553 0.06286475 0.11706852 0.01985032 0.00471633 -0.01873171 -0.01092126 0.1324708 -0.17362407 0.13136666 0.09309365 0.00056622 -0.02575624 -0.13722582 -0.00276126 0.00816789 0.03795232 -0.00998733 0.04958863 0.20407133 0.00165867 0.00122792 0.0026563 -0.16070399 0.04853341 0.168401 -0.00794428 -0.00208026 0.00924951 0.00054308 0.0120194 -0.00209441 0.00383353 -0.00440449 0.00564329 -0.00960239 -0.01643653 -0.0021766 -0.0253097 -0.02362903 -0.06451581 0.06326815 -0.02501887 0.09718805 -0.02443419 -0.00279933 -0.00492909 0.00388046 0.10763096 0.05026167 -0.09356014 0.00120277 0.00270593 0.00559865 -0.01062523 0.09025314 0.0343017 0.00829248 0.06031417 -0.02478385 0.00096551 -0.00057529 -0.01088852 -0.03098831 0.23964126 -0.1911003 -0.00026801 -0.00876923 0.10357751 0.12013312 0.15220042 -0.0084849 0.00670637 0.01474686 -0.12367895 -0.06622318 0.02897882 0.0003972 -0.07562862 0.17793782 -0.04354187 -0.20755713 0.13731308 0.00566226 -0.01769276 0.06446302 -0.00240359 -0.00574859 0.12191515 -0.05139374 0.04341827 0.00399111 0.00533839 0.02234261 0.20115769 0.1389663 0.00734283 0.12569275 -0.00284125 -0.00288448 0.23511392 0.00937128 -0.02464505 0.12429686 0.04583913 0.02791372 -0.00056702] [ 1.64539684e-02 3.68169211e-02 8.17888603e-02 -2.69135628e-02 -3.60970781e-03 -3.82526033e-03 1.07102439e-01 1.38738468e-01 6.78975834e-03 2.29167799e-03 1.63157821e-01 3.30784428e-03 9.39234253e-03 2.03461170e-01 1.51703134e-01 -2.29978964e-01 -4.91756108e-03 2.29091674e-01 -1.20039724e-01 -2.00169474e-01 -8.70633125e-02 -1.49973005e-01 1.68887571e-01 5.46099581e-02 1.23978080e-02 3.88274272e-03 1.12510696e-01 -2.18144283e-02 4.28889580e-02 -1.06331721e-01 1.04778320e-01 1.88663483e-01 -2.71963631e-03 -4.21997644e-02 -1.82212383e-01 -1.58786811e-02 7.56249065e-03 1.54141402e-02 -7.44318310e-03 5.40545769e-02 2.02126592e-01 1.89043116e-03 -5.14463347e-04 -5.44299092e-03 -6.04259782e-03 2.99543254e-02 1.52452916e-01 -1.09753227e-02 -1.97081198e-03 8.18490610e-03 7.38041010e-04 1.11128492e-02 -1.65316218e-03 3.87669611e-03 -1.27820875e-02 7.14017404e-03 -1.01447545e-01 -1.56437699e-02 -2.34984630e-03 -1.45658422e-02 -3.27391103e-02 -8.88257697e-02 3.76426019e-02 -1.63408183e-02 -6.16862439e-02 -9.89135727e-02 -3.52958776e-03 2.86877737e-03 -9.48175380e-04 7.77592137e-02 1.17634341e-01 -1.79668650e-01 -3.21563403e-03 3.13773868e-03 -4.11652261e-03 -1.06003042e-02 8.12880695e-02 7.70188197e-02 2.67736148e-03 1.52582034e-01 -3.00105084e-02 -3.09321145e-03 5.31953899e-03 4.25232723e-02 -8.86404365e-02 8.04732293e-02 -1.23919971e-01 3.62069136e-03 -1.01408819e-02 -7.86983818e-02 1.27540186e-01 3.69905792e-02 -9.80251562e-03 4.27171867e-03 1.08192274e-02 1.58002540e-01 1.35653585e-01 -2.88509037e-02 -6.65425230e-03 -5.71718700e-02 2.08070502e-01 2.98464810e-03 -1.95079476e-01 1.52259558e-01 4.89992183e-03 -1.83698237e-02 1.25972405e-02 -2.92246789e-03 -9.79564502e-04 -1.23323731e-01 2.25925595e-02 -1.35779247e-01 -9.81155084e-04 -2.16405801e-02 -4.31656081e-04 1.48088858e-01 1.12574585e-01 -1.28711835e-02 5.53198457e-02 1.74578396e-03 6.95556446e-05 2.18837291e-01 8.08528159e-03 -1.55973863e-02 -9.08768252e-02 2.34612986e-03 -9.55101773e-02 -6.57616416e-03] Cos Similarity tf.Tensor(0.6439915, shape=(), dtype=float32) (128,) (128,) [ 1.51150182e-01 1.77911341e-01 2.20065638e-02 -9.11829397e-02 -2.86571532e-02 -1.34118544e-02 1.97434187e-01 -6.86220974e-02 1.99071039e-02 -4.79185348e-03 2.70941630e-02 -6.67598844e-03 7.69307604e-03 -1.67060494e-01 -2.72276942e-02 -1.06919959e-01 1.62432455e-02 4.17280383e-02 -2.60768384e-02 -4.60576862e-02 1.17123820e-01 7.46977329e-02 -1.10627599e-01 -1.05218356e-02 2.40287669e-02 1.86658017e-02 1.29625835e-02 2.96171824e-03 -8.04412216e-02 1.36088297e-01 1.03113532e-01 4.99516129e-02 1.74665060e-02 -5.01907282e-02 -1.14536919e-01 2.16782559e-02 1.72090027e-02 -1.37790088e-02 -5.80732711e-03 1.44333392e-01 2.26887494e-01 2.36080550e-02 1.23584003e-03 -1.78903248e-03 -1.09855764e-01 3.89731526e-02 3.21014076e-02 8.26610811e-03 2.40478292e-02 2.27217767e-02 6.76967809e-03 2.06515164e-04 4.87677939e-03 1.66167878e-02 1.44406466e-03 2.01154295e-02 -1.78376004e-01 -1.70456357e-02 4.35556425e-03 5.39167132e-03 -6.38314411e-02 -4.69862856e-02 -2.36879196e-02 1.47669781e-02 9.49430838e-03 -1.88952222e-01 7.47480709e-03 1.30601749e-01 3.09672416e-03 -1.19745754e-01 -4.23277318e-02 -7.50563815e-02 -1.62996724e-02 -6.95783319e-03 9.22734325e-04 1.09769618e-02 1.04358934e-01 -1.17915921e-01 8.18759855e-03 6.69772848e-02 6.32335246e-03 -8.43242463e-03 1.06062535e-02 -8.99971277e-03 1.18628561e-01 -1.34287193e-01 1.01860866e-01 1.29488828e-02 5.45384688e-03 -1.41284913e-01 2.02293500e-01 -1.07268184e-01 2.16239914e-02 5.65175992e-03 1.13823647e-02 -4.43180539e-02 2.05065042e-01 -1.89675227e-01 -1.00030731e-02 7.60382190e-02 2.10939512e-01 -1.19683333e-01 -2.23550573e-01 -2.23732702e-02 6.84271380e-03 1.57335103e-02 -1.89405739e-01 3.45486659e-03 1.59876291e-02 -1.25140876e-01 1.10222541e-01 -6.43163770e-02 1.35604050e-02 -4.10670862e-02 -6.50344566e-02 1.60232276e-01 3.01362891e-02 -2.52944939e-02 2.01500759e-01 6.75615016e-03 -4.05111350e-03 1.66485235e-01 4.13627625e-02 2.24834066e-02 -2.03422710e-01 -8.51706602e-03 5.71414642e-03 -4.31194017e-03] [ 4.72710468e-02 -6.74801618e-02 4.19493690e-02 -5.09154499e-02 1.56225986e-03 -1.37283176e-01 8.91610235e-02 -1.26766086e-01 1.92493498e-02 -1.09232590e-02 -4.72382344e-02 -1.47493836e-03 1.82322767e-02 -9.36419740e-02 4.46089096e-02 1.91358864e-01 3.20941471e-02 5.62997675e-03 -5.25682159e-02 5.26858307e-02 -1.31071389e-01 8.10777321e-02 -1.34675771e-01 2.05534305e-02 -1.50612611e-02 2.90578417e-02 -1.26978725e-01 2.14884691e-02 -1.82417184e-01 1.26414925e-01 -1.63406268e-01 1.36493832e-01 2.69573834e-02 7.92562775e-03 1.35251656e-01 3.65386680e-02 8.97973223e-05 -2.28232611e-02 9.04375280e-04 1.47542998e-01 1.47516802e-01 -6.50498783e-03 -8.63988046e-03 -1.87295135e-02 -6.56597838e-02 -4.19837274e-02 -1.36414751e-01 1.02552781e-02 1.77457556e-02 5.11859497e-03 1.10841878e-02 -6.01115078e-03 1.48301723e-03 1.36001501e-02 1.08706988e-02 2.13061385e-02 2.00817809e-02 -4.80819354e-03 -2.12817397e-02 1.73310619e-02 1.57577634e-01 -1.31230101e-01 -3.57229970e-02 9.24236886e-03 9.95816961e-02 1.59804523e-01 8.82991124e-03 -1.67858303e-01 3.03639169e-03 -5.49930744e-02 -1.61941141e-01 1.88378721e-01 -7.79492175e-03 -5.96342143e-04 -1.37000466e-02 3.57098877e-02 -2.45939363e-02 3.70866768e-02 5.99342911e-03 1.83163479e-01 2.32897382e-02 1.64824785e-04 1.08656762e-02 1.95219800e-01 1.47660449e-01 -1.68883875e-01 1.90654799e-01 1.30794300e-02 7.21229799e-03 -1.91199139e-01 -7.34851435e-02 -1.56768262e-01 2.04084162e-02 2.24930290e-02 2.59666797e-02 -9.46898162e-02 -8.57869908e-02 -1.90029219e-01 7.12724868e-03 3.83879803e-02 5.87940663e-02 -1.13619767e-01 2.08850771e-01 1.22530274e-02 -6.73207594e-03 -4.05054241e-02 -3.05503346e-02 1.03179067e-02 2.45196633e-02 -1.29718795e-01 1.01145886e-01 -6.47810241e-03 1.60534435e-03 -9.65140611e-02 -3.39822993e-02 1.03958704e-01 5.18333875e-02 -1.53662460e-02 -1.12760484e-01 -8.16976279e-03 -2.62166895e-02 1.58877179e-01 4.15112674e-02 1.60804540e-02 1.52722433e-01 7.60075301e-02 -3.07282843e-02 4.00714669e-03] Cos Similarity tf.Tensor(0.16296415, shape=(), dtype=float32) (128,) (128,) [ 6.99527413e-02 1.31102741e-01 2.02336982e-02 1.01714291e-01 -3.83263291e-03 1.31522894e-01 9.79189128e-02 -1.16574489e-01 5.43258444e-04 -8.47922580e-04 3.15141515e-03 1.46931875e-02 1.05889197e-02 1.38678670e-01 8.66942629e-02 -7.44358599e-02 -9.43610724e-03 1.20416675e-02 -1.62132382e-01 1.71771437e-01 -1.75315216e-01 1.59581780e-01 1.79212242e-01 8.15367252e-02 6.24790974e-03 1.08279912e-02 1.41348973e-01 5.18056285e-03 -1.62456021e-01 1.37001634e-01 -5.96592389e-02 3.72459888e-02 -1.91003140e-02 2.20534648e-03 -1.03208102e-01 -1.85573287e-02 -6.13683322e-03 1.47256032e-01 2.12435843e-03 8.74118954e-02 1.68124512e-01 -4.50482452e-03 -1.49369892e-02 -1.02611724e-02 1.25570834e-01 1.38201609e-01 -4.59298380e-02 2.88903085e-03 -5.65185546e-05 -1.23709869e-02 -9.64997977e-04 6.94697164e-03 4.26414749e-03 5.60103450e-03 1.37899918e-02 8.54324643e-03 -1.68453962e-01 4.52939793e-03 7.50367017e-03 -1.93562843e-02 -3.70912664e-02 -7.35830292e-02 1.08304963e-01 -1.17835216e-02 -1.82989895e-01 7.39491731e-02 -8.32252391e-03 7.40559027e-02 3.07860877e-03 2.80495044e-02 1.10347100e-01 -6.79643154e-02 5.94325829e-04 -4.20709467e-03 4.92835417e-03 5.91702247e-03 1.58484817e-01 1.31743923e-01 6.70387968e-03 9.97550562e-02 -8.67716316e-03 3.43775167e-03 1.07073656e-03 -1.54026955e-01 1.60661370e-01 1.77627236e-01 -1.64257392e-01 1.05889216e-02 -5.92455594e-03 1.11512661e-01 1.72986835e-01 1.75209537e-01 -1.20140752e-03 1.03590200e-02 -1.55643246e-03 -1.54517978e-01 1.83595181e-01 -1.14062585e-01 4.05164808e-03 -1.21004276e-01 1.40491575e-01 -8.08724388e-02 -2.81628929e-02 3.12133450e-02 -3.39742168e-03 3.78288794e-03 1.83862165e-01 3.08089657e-03 -5.92880789e-03 9.60823447e-02 2.54279971e-02 4.77689039e-03 -6.49533467e-03 6.84609041e-02 -2.53890920e-02 4.65274118e-02 1.30735725e-01 5.37424674e-03 1.72159702e-01 -2.48892214e-02 -6.18874282e-03 -9.48511139e-02 -1.83025785e-02 -2.37173643e-02 1.20653100e-02 -9.02791880e-03 -1.22174490e-02 5.05961757e-03] [ 2.69268849e-03 1.52226284e-01 1.71472356e-02 1.61157548e-01 1.44892780e-03 1.45998478e-01 8.20911154e-02 -1.46167979e-01 7.44825741e-03 -6.18134765e-03 8.10150653e-02 1.18760262e-02 6.97951065e-03 1.39145628e-01 7.64147490e-02 4.71133403e-02 -5.64878201e-03 -1.27732595e-02 -1.49265438e-01 1.36837229e-01 -1.43650249e-01 1.35525852e-01 1.84255555e-01 1.19633600e-01 1.04364436e-02 1.22480746e-02 8.13043341e-02 1.32941576e-02 -1.08109914e-01 1.08851813e-01 -1.33187920e-01 5.55455200e-02 -3.04808039e-02 -7.84939062e-03 -1.44146785e-01 -5.56140207e-02 2.39689066e-03 1.79697886e-01 -3.73996538e-03 1.11019775e-01 1.75154567e-01 -2.66195065e-03 -7.31535209e-03 -1.18964808e-02 1.33883908e-01 1.54819176e-01 4.26706206e-03 1.22553518e-03 -1.48510642e-03 -1.56785585e-02 -1.91487267e-03 8.95707775e-03 -1.70066755e-03 5.43507375e-03 1.88694894e-02 8.84516630e-03 -1.58331260e-01 -5.25887497e-03 3.69615178e-03 -8.90207663e-03 1.95894912e-02 1.17330439e-01 1.47663012e-01 -8.71499721e-03 -1.72245279e-01 -2.24802699e-02 -6.37338404e-03 5.13953082e-02 1.24219256e-02 4.00129370e-02 1.08761072e-01 -8.46097246e-02 2.14710925e-03 -9.94686503e-03 1.39420964e-02 9.15908534e-03 1.52159661e-01 9.02705640e-02 3.28034465e-03 8.78097564e-02 -3.73348384e-03 3.42266308e-03 2.45202263e-03 -1.57843158e-01 8.31826627e-02 2.83508543e-02 -1.74644575e-01 1.46958856e-02 -6.71983510e-03 2.45200358e-02 1.60769269e-01 7.04986453e-02 -8.59182049e-03 8.62860028e-03 -1.47956191e-04 -1.22190528e-01 1.98845044e-01 -1.42961694e-02 7.13460473e-03 -1.02924578e-01 6.84726015e-02 -1.21018849e-01 -8.78812373e-02 1.27050877e-01 -4.77288850e-05 9.37288534e-03 2.01880306e-01 2.87864171e-03 2.12085689e-03 1.64578110e-01 -2.47904602e-02 7.20688477e-02 -5.23818471e-03 7.65694603e-02 -4.29162420e-02 1.06153199e-02 1.54027909e-01 1.52503019e-02 1.96251005e-01 -1.85374245e-02 -2.91653862e-03 -1.28147066e-01 -1.83553286e-02 -2.55854316e-02 -1.53383225e-01 1.48270484e-02 -1.97884031e-02 1.38952844e-02] Cos Similarity tf.Tensor(0.88306975, shape=(), dtype=float32) (128,) (128,) [-1.60437122e-01 -1.18990891e-01 -1.59506857e-01 2.22362094e-02 -5.36565995e-03 -7.70763436e-04 3.97367105e-02 1.06808610e-01 1.29411072e-02 -9.20210406e-03 -1.59751698e-01 -1.36913443e-02 -1.13603780e-02 -2.66212747e-02 -5.70065677e-02 -9.61372778e-02 -1.75433811e-02 -1.20121986e-01 2.24029824e-01 -5.99103421e-02 3.85048054e-02 2.73443907e-02 5.61944256e-03 -3.85284275e-02 -1.35498280e-02 3.39416275e-03 7.39079341e-02 -4.64036502e-03 -9.19770598e-02 -1.78415477e-02 -3.22874333e-03 -2.11583421e-01 -1.80789344e-02 -4.83176671e-02 -1.29700139e-01 -4.83948458e-03 1.44092063e-03 3.57458182e-02 -1.53779034e-02 -1.42862782e-01 1.84239466e-02 7.76861049e-03 -7.20790401e-03 -1.35389424e-03 -1.55241445e-01 -2.46809199e-02 -2.21457541e-01 -2.15657726e-02 -3.03862762e-05 1.32790376e-02 8.77882168e-03 1.52675062e-03 -2.24670637e-02 3.21096764e-03 2.85946275e-03 -1.56609074e-03 -1.21689074e-01 -1.17649259e-02 -2.11255122e-02 -6.93734689e-03 -1.93967029e-01 3.04959357e-01 -2.22683847e-01 -1.87436044e-02 1.35676190e-02 8.00273567e-02 -1.05215097e-02 1.03340065e-02 -1.47171067e-02 1.19909853e-01 7.42449844e-03 1.19070455e-01 -4.09102719e-03 3.71879758e-03 -9.33655445e-03 6.76308619e-03 2.44166441e-02 1.47258878e-01 -1.14906030e-02 1.02878354e-01 -1.37277329e-02 1.56044737e-01 -3.13555524e-02 1.48787066e-01 1.73983667e-02 -4.22332212e-02 -1.31654248e-01 9.86955129e-03 -1.54264653e-02 -1.40612125e-02 -1.75861700e-03 -2.22866446e-01 -1.01574063e-02 8.13482329e-03 -1.47946330e-03 1.50321007e-01 -4.81970720e-02 1.40229827e-02 -2.46694568e-03 -2.90813632e-02 -9.73068699e-02 1.60971731e-02 -6.63432106e-02 -1.55299027e-02 -4.62250132e-03 -2.50908430e-03 -1.37312427e-01 -1.31240962e-02 -2.90312916e-02 -4.67454344e-02 1.07969582e-01 -1.85488746e-01 -1.39041636e-02 -2.06269518e-01 -6.63094074e-02 2.15752289e-01 3.78495604e-02 -3.74135096e-03 6.19988330e-02 -2.13170033e-02 8.98156781e-03 5.90232573e-02 7.45768147e-03 -4.73309122e-03 1.87333182e-01 6.54447079e-02 -1.20831197e-02 -1.18336761e-02] [-1.54750437e-01 -1.57188028e-01 -1.47327065e-01 1.42157925e-02 -1.22110061e-02 -1.28097031e-02 6.94017559e-02 1.56407297e-01 8.25192966e-03 -1.26435272e-02 -1.73978612e-01 -1.23951035e-02 -1.11121852e-02 2.66398907e-01 9.01109353e-03 -4.90653515e-02 -2.43184194e-02 -1.29739821e-01 2.27531999e-01 -9.83036080e-05 3.04971412e-02 2.20899992e-02 1.42750442e-02 -1.02199875e-02 -3.39309797e-02 2.18171533e-03 1.36142254e-01 -2.49700528e-02 1.37520535e-02 5.11479937e-03 1.74495846e-03 -4.30249982e-02 -1.80996973e-02 -2.81889737e-02 -1.41985312e-01 -2.84333676e-02 -2.67490651e-03 3.06233056e-02 -6.26727380e-03 -1.59114942e-01 -5.19395713e-03 -4.54446394e-03 -2.39416119e-03 -1.53897679e-03 -7.12460130e-02 1.67454839e-01 -1.78279817e-01 -2.40042899e-02 -3.18352715e-03 1.61435790e-02 5.21835824e-03 4.22482705e-03 -2.36419011e-02 1.78290764e-03 -1.05372192e-02 3.02020647e-03 1.05596609e-01 -9.01879370e-03 -3.41707142e-03 -1.67869795e-02 -1.82627290e-01 2.38927692e-01 -2.27630094e-01 -1.03347260e-03 -4.82218759e-03 7.77915493e-02 -1.14710424e-02 3.11252382e-03 -1.20184664e-02 1.72664389e-01 1.00659214e-01 1.35014772e-01 -2.32523610e-03 6.53970940e-03 -5.63111436e-03 -1.43430603e-03 6.09387830e-02 8.64255056e-02 -4.60401177e-03 9.63093042e-02 -2.62199510e-02 9.94132683e-02 -1.62967704e-02 1.77576676e-01 -1.21256867e-02 -8.45702656e-04 2.14008410e-02 6.52678311e-03 -1.99593455e-02 1.40920337e-02 2.73651886e-03 -2.24850640e-01 -2.46763527e-02 8.59232061e-03 2.91809905e-04 1.06904767e-01 -7.21477941e-02 1.53850719e-01 -1.96876172e-02 -5.21848015e-02 -1.51376486e-01 8.81502114e-04 -1.56057235e-02 -4.18247655e-03 -1.33151207e-02 5.56887593e-03 -1.38585523e-01 -8.12771637e-03 -3.48716378e-02 -7.67766014e-02 1.02038391e-01 -2.04208419e-01 -2.22559739e-02 4.85406164e-03 -4.91704121e-02 7.40148276e-02 2.36113146e-01 -1.13025131e-02 6.84207082e-02 -2.68580429e-02 3.17775831e-03 -2.72719879e-02 3.13111464e-03 -2.81153843e-02 1.86984956e-01 4.29991931e-02 -1.07097523e-02 -1.31804207e-02] Cos Similarity tf.Tensor(0.77763927, shape=(), dtype=float32)
In [9]:
Copied!
print(f'The accuracy of the model is: {accuracy}')
print(f'The accuracy of the model is: {accuracy}')
The accuracy of the model is: 0.7421875
This implementation with the for loop is great for understanding exactly what is going on when you are computing the accuracy, however you can implement this in a more efficient way using vectorization. You will do this in the assignment.
Feel free to add a new cell and try it out with this small dataset, and check that you are getting the same results. You can do this with exactly the same functions you used in the cell above.
Congratulations on finishing this lecture notebook!
Now you should have a clearer understanding of how to evaluate your Siamese language models using the accuracy metric.
Keep it up!
In [ ]:
Copied!