/external/tensorflow/tensorflow/python/keras/layers/ |
D | convolutional_recurrent_test.py | 112 out1 = model.predict(np.ones_like(inputs)) 115 model.train_on_batch(np.ones_like(inputs), 117 out2 = model.predict(np.ones_like(inputs)) 125 out3 = model.predict(np.ones_like(inputs)) 130 out4 = model.predict(np.ones_like(inputs)) 134 out5 = model.predict(np.ones_like(inputs))
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/external/tensorflow/tensorflow/python/eager/ |
D | tape_test.py | 46 math_ops.matmul(array_ops.ones_like(b * dr), b, transpose_b=True), 48 math_ops.matmul(a, array_ops.ones_like(a) * dr, transpose_b=True) 99 array_ops.ones_like(aa), 113 array_ops.ones_like(aa), 127 array_ops.ones_like(aa),
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/external/tensorflow/tensorflow/python/ops/distributions/ |
D | multinomial.py | 251 n_draws = array_ops.ones_like( 253 logits = array_ops.ones_like( 295 p = self.probs * array_ops.ones_like( 303 p = self.probs * array_ops.ones_like(
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D | normal.py | 223 scale = self.scale * array_ops.ones_like(self.loc) 227 return self.loc * array_ops.ones_like(self.scale) 233 return self.scale * array_ops.ones_like(self.loc)
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D | bernoulli.py | 145 return (array_ops.ones_like(event) * logits, 146 array_ops.ones_like(logits) * event)
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D | beta.py | 248 expanded_concentration1 = array_ops.ones_like( 250 expanded_concentration0 = array_ops.ones_like(
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D | uniform.py | 186 array_ops.ones_like(broadcasted_x) / self.range()))
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/external/tensorflow/tensorflow/python/ops/ |
D | weights_broadcast_ops.py | 39 (values_shape_2d, array_ops.ones_like(values_shape_2d)), axis=1) 175 weights, array_ops.ones_like(values), name=scope) 178 weights, array_ops.ones_like(values), name=scope)
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D | default_gradient.py | 60 def ones_like(t): function 65 return array_ops.ones_like(t)
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D | confusion_matrix.py | 193 values = (array_ops.ones_like(predictions, dtype)
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/external/tensorflow/tensorflow/python/eager/benchmarks/resnet50/ |
D | hvp_test.py | 62 helpers = tf.nest.map_structure(tf.ones_like, grads) 96 vector = [tf.ones_like(v) for v in model.trainable_variables] 128 vector = [tf.ones_like(v) for v in model.trainable_variables]
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/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_batch_gather_with_default_op.py | 156 array_ops.ones_like(params_shape.partitioned_dim_sizes[-1]),) 179 array_ops.ones_like(gather_dimension),) * (
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D | ragged_math_ops.py | 310 array_ops.ones_like(data.flat_values), 326 array_ops.ones_like(data.flat_values), 618 array_ops.ones_like(input_tensor.flat_values), 622 ones = array_ops.ones_like(input_tensor)
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D | ragged_tensor_test_ops.py | 73 array_ops.ones_like,
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/external/tensorflow/tensorflow/c/eager/ |
D | tape.h | 619 Gradient* ones_like = nullptr; in InitialGradients() local 621 op_it->second.output_tensor_info[j], &ones_like)); in InitialGradients() 622 (*result)[id].push_back(ones_like); in InitialGradients() 637 Gradient* ones_like = nullptr; in InitialGradients() local 639 vspace.BuildOnesLike(source_tensor->second, &ones_like)); in InitialGradients() 640 (*result)[id].push_back(ones_like); in InitialGradients()
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/external/tensorflow/tensorflow/python/ops/losses/ |
D | losses_impl.py | 122 array_ops.ones_like(weights)) 195 loss, math_ops.reduce_sum(array_ops.ones_like(losses) * weights)) 362 all_ones = array_ops.ones_like(labels)
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/external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
D | special_math_test.py | 89 all_true = np.ones_like(is_finite, dtype=np.bool) 270 self.assertAllEqual(np.ones_like(v, dtype=np.bool), v) 402 self.assertAllEqual(np.ones_like(x, dtype=np.bool), x)
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D | dirichlet_test.py | 95 np.ones_like(log_prob, dtype=np.bool), np.isfinite(log_prob)) 101 np.ones_like(log_prob, dtype=np.bool), np.isfinite(log_prob))
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/external/tensorflow/tensorflow/python/feature_column/ |
D | utils.py | 36 column_ids += array_ops.ones_like(column_ids)
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/external/tensorflow/tensorflow/python/keras/ |
D | activations_test.py | 120 return np.log(np.ones_like(x) + np.exp(x)) 131 return np.divide(x, np.ones_like(x) + np.absolute(x))
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/external/tensorflow/tensorflow/python/profiler/internal/ |
D | model_analyzer_testlib.py | 69 target = array_ops.ones_like(out)
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/external/tensorflow/tensorflow/python/tpu/ |
D | tpu_embedding_v2_correctness_test.py | 236 array_ops.ones_like(sparse.values, dtype=dtypes.float32) * weight) 278 weights = [array_ops.ones_like(t, dtype=dtypes.float32) * weight 509 mid_level.apply_gradients(nest.map_structure(array_ops.ones_like,
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/external/tensorflow/tensorflow/python/keras/layers/preprocessing/ |
D | hashing.py | 193 values = math_ops.add(values, array_ops.ones_like(values))
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator_kronecker.py | 331 [array_ops.ones_like(self.batch_shape_tensor()), [1, 1]], 0) 447 [array_ops.ones_like(self.batch_shape_tensor()), [1, 1]], 0)
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/external/tensorflow/tensorflow/python/keras/layers/preprocessing/benchmarks/ |
D | normalization_adapt_benchmark.py | 48 ones = array_ops.ones_like(values, dtype=dtypes.int32)
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