Searched refs:l2_normalize (Results 1 – 20 of 20) sorted by relevance
/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
D | clustering_ops.py | 218 clusters = nn_impl.l2_normalize(clusters, dim=1) 222 inp = nn_impl.l2_normalize(inp, dim=1) 253 clusters = nn_impl.l2_normalize(clusters, dim=1) 323 output.append(nn_impl.l2_normalize(inp, dim=1)) 375 cluster_centers = nn_impl.l2_normalize(cluster_centers, dim=1) 414 cluster_centers = nn_impl.l2_normalize( 533 new_clusters_centers = nn_impl.l2_normalize(new_clusters_centers, dim=1) 613 inp = nn_impl.l2_normalize(inp, dim=1) 659 new_center = nn_impl.l2_normalize(new_center, dim=1) 680 newly_sampled_center = nn_impl.l2_normalize( [all …]
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/external/tensorflow/tensorflow/python/ops/ |
D | clustering_ops.py | 219 clusters = nn_impl.l2_normalize(clusters, dim=1) 223 inp = nn_impl.l2_normalize(inp, dim=1) 254 clusters = nn_impl.l2_normalize(clusters, dim=1) 324 output.append(nn_impl.l2_normalize(inp, dim=1)) 376 cluster_centers = nn_impl.l2_normalize(cluster_centers, dim=1) 415 cluster_centers = nn_impl.l2_normalize( 534 new_clusters_centers = nn_impl.l2_normalize(new_clusters_centers, dim=1) 614 inp = nn_impl.l2_normalize(inp, dim=1) 658 new_center = nn_impl.l2_normalize(new_center, dim=1) 679 newly_sampled_center = nn_impl.l2_normalize( [all …]
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D | nn_impl.py | 385 def l2_normalize(x, axis=None, epsilon=1e-12, name=None, dim=None): function
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/external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
D | spectral_normalization_impl.py | 83 v = nn.l2_normalize(math_ops.matmul(array_ops.transpose(w), u)) 84 u = nn.l2_normalize(math_ops.matmul(w, v))
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/external/tensorflow/tensorflow/contrib/kernel_methods/python/mappers/ |
D | random_fourier_features_test.py | 140 normalized_points = [nn.l2_normalize(point, dim=1) for point in points]
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | merge.py | 523 x1 = nn.l2_normalize(x1, axis=axes[0]) 524 x2 = nn.l2_normalize(x2, axis=axes[1])
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/external/tensorflow/tensorflow/python/keras/ |
D | losses.py | 923 y_true = nn.l2_normalize(y_true, axis=axis) 924 y_pred = nn.l2_normalize(y_pred, axis=axis)
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D | backend.py | 4089 def l2_normalize(x, axis=None): function 4099 return nn.l2_normalize(x, axis=axis)
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.linalg.pbtxt | 128 name: "l2_normalize"
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D | tensorflow.nn.pbtxt | 180 name: "l2_normalize"
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D | tensorflow.math.pbtxt | 204 name: "l2_normalize"
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D | tensorflow.keras.backend.pbtxt | 248 name: "l2_normalize"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.linalg.pbtxt | 128 name: "l2_normalize"
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D | tensorflow.math.pbtxt | 204 name: "l2_normalize"
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D | tensorflow.nn.pbtxt | 224 name: "l2_normalize"
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D | tensorflow.keras.backend.pbtxt | 252 name: "l2_normalize"
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/external/tensorflow/tensorflow/contrib/keras/api/keras/backend/ |
D | __init__.py | 81 from tensorflow.python.keras.backend import l2_normalize
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/external/tensorflow/tensorflow/lite/g3doc/guide/ |
D | ops_compatibility.md | 55 * [tf.nn.l2_normalize](https://www.tensorflow.org/api_docs/python/tf/nn/l2_normalize) -
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/external/tensorflow/tensorflow/lite/testing/ |
D | generate_examples.py | 1663 out1 = tf.nn.l2_normalize(input_tensor, parameters["dim"], epsilon=epsilon) 1664 out2 = tf.nn.l2_normalize(input_tensor, parameters["dim"], epsilon=epsilon) 2078 out = tf.nn.l2_normalize( 2081 out = tf.nn.l2_normalize(input_tensor, parameters["dim"])
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/external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
D | rnn_cell.py | 2920 return nn_impl.l2_normalize(weight, axis=0) * g
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