/external/tensorflow/tensorflow/python/kernel_tests/ |
tensordot_op_test.py | 49 math_ops.tensordot(a, b, (a_axes, b_axes)) 57 output = math_ops.tensordot(a_ph, b_ph, axes_ph) 71 math_ops.tensordot(a, b, axes_value) 74 math_ops.tensordot(a, b, [[0], [7]]) 80 output = math_ops.tensordot(a_ph, b_ph, axes_ph) 98 np_ans = np.tensordot(np_a, np_b, axes_value) 102 tf_ans = math_ops.tensordot(tf_a, tf_b, axes_value).eval() 111 output = math_ops.tensordot(a, b, axes) 115 output = math_ops.tensordot(a, b, axes) 125 output = math_ops.tensordot(a, b, axes [all...] |
/external/tensorflow/tensorflow/core/grappler/costs/graph_properties_testdata/ |
large_graph.pbtxt.html | [all...] |
/external/tensorflow/tensorflow/contrib/signal/python/ops/ |
mel_ops.py | 114 The matrix can be used with @{tf.tensordot} to convert an arbitrary rank 119 M = tf.tensordot(S, A, 1) 120 # tf.tensordot does not support shape inference for this case yet.
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mfcc_ops.py | 61 mel_spectrograms = tf.tensordot(
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/external/tensorflow/tensorflow/python/ops/linalg/ |
linalg_impl.py | 52 tensordot = math_ops.tensordot variable
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/external/tensorflow/tensorflow/tools/api/golden/ |
tensorflow.linalg.pbtxt | 124 name: "tensordot"
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tensorflow.pbtxt | [all...] |
/external/tensorflow/tensorflow/docs_src/api_guides/python/ |
contrib.signal.md | 134 mel_spectrograms = tf.tensordot( 136 # Note: Shape inference for `tf.tensordot` does not currently handle this case.
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math_ops.md | 114 * @{tf.tensordot}
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/external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
hmc_impl.py | 173 loc=tf.tensordot(weights, factors, axes=[[0], [-1]])) 413 loc=tf.tensordot(weights, x, axes=[[0], [-1]])) 655 y = tf.tensordot(x, w, axes=[[1], [0]]) + noise 667 loc=tf.tensordot(x, w, axes=[[1], [0]])) [all...] |
layers_dense_variational.py | 244 # To handle broadcasting, we must use `tensordot`. 245 return standard_ops.tensordot(inputs, kernel, axes=[[-1], [0]]) [all...] |
/external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
kmeans_test.py | 327 self.true_score = len(self.points) - np.tensordot( 395 true_score = len(points) - np.tensordot(
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
kmeans_test.py | 335 self.true_score = len(self.points) - np.tensordot( 402 true_score = len(points) - np.tensordot(
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/external/tensorflow/tensorflow/python/layers/ |
core.py | 155 outputs = standard_ops.tensordot(inputs, self.kernel, [[len(shape) - 1],
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/external/tensorflow/tensorflow/python/ops/ |
math_ops.py | 101 @@tensordot 2796 def tensordot(a, b, axes, name=None): function [all...] |
image_ops_impl.py | [all...] |
/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
core_layers.py | 458 outputs = standard_ops.tensordot(inputs, self.masked_kernel,
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