| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | ctc_decoder_ops_test.py | 56 inputs_t = [ops.convert_to_tensor(x) for x in inputs]
59 inputs_t = array_ops.stack(inputs_t)
63 inputs_t, sequence_length=seq_lens, **decoder_args)
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| D | rnn_test.py | 740 def _static_vs_dynamic_rnn_benchmark_dynamic(inputs_t, sequence_length): argument
741 (unused_0, unused_1, input_size) = inputs_t.get_shape().as_list()
749 cell, inputs_t, sequence_length=sequence_length, dtype=dtypes.float32)
786 inputs_t = variables_lib.Variable(inputs, trainable=False).value()
787 _static_vs_dynamic_rnn_benchmark_dynamic(inputs_t, sequence_length)
839 inputs_t = variables_lib.Variable(inputs, trainable=False).value()
840 ops = _static_vs_dynamic_rnn_benchmark_dynamic(inputs_t, sequence_length)
984 def _dynamic_rnn_swap_memory_benchmark(inputs_t, sequence_length, swap_memory): argument
985 (unused_0, unused_1, input_size) = inputs_t.get_shape().as_list()
994 inputs_t,
[all …]
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| D | ctc_loss_op_test.py | 91 inputs_t = constant_op.constant(inputs)
95 inputs=inputs_t, labels=labels, sequence_length=seq_lens)
96 grad = gradients_impl.gradients(loss, [inputs_t])[0]
257 inputs_t = constant_op.constant(inputs)
264 inputs=inputs_t, labels=labels, sequence_length=seq_lens)
277 inputs_t = constant_op.constant(inputs)
284 inputs=inputs_t, labels=labels, sequence_length=seq_lens)
289 _ = gradients_impl._hessian_vector_product(loss, [inputs_t], v)
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| /external/tensorflow/tensorflow/contrib/recurrent/python/ops/ |
| D | functional_rnn.py | 73 inputs_t, state0 = nest.pack_sequence_as(input_structure, flat_inputs)
75 _SetShapeFromTemplate(inputs_t, like_inputs_t)
76 outputs_t, state1 = rnn_cell(inputs_t, state0)
107 def CellStep(theta, extended_state0, inputs_t): argument
131 full_inputs = [inputs_t] + state0_flat + theta
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| D | recurrent.py | 368 inputs_t = _Index(inputs, t) # external input at time step t.
369 fwd = Fwd(*_Flatten([theta, state0, inputs_t]))
530 inputs_t = _Index(inputs, t)
536 Bak(*_Flatten([theta, state0, inputs_t, extras_t, d_state1])),
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | ctc_decoder_ops.cc | 201 auto inputs_t = inputs->tensor<float, 3>(); in Compute() local
204 input_list_t.emplace_back(inputs_t.data() + t * batch_size * num_classes, in Compute()
278 auto inputs_t = inputs->tensor<float, 3>(); in Compute() local
297 input_list_t.emplace_back(inputs_t.data() + t * batch_size * num_classes, in Compute()
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| D | ctc_loss_op.cc | 146 auto inputs_t = inputs->tensor<float, 3>(); in Compute() local
151 input_list_t.emplace_back(inputs_t.data() + t * batch_size * num_classes, in Compute()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | string_ops.py | 337 inputs_t = ops.convert_to_tensor(inputs)
339 inputs_t, axis, reduction_indices)
341 inputs=inputs_t,
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | normalization_test.py | 539 inputs_t = constant_op.constant(inputs, shape=input_shape)
542 outputs = layer(inputs_t)
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | control_flow_ops_test.py | 886 inputs_t = array_ops.expand_dims(
888 output, new_state = cell(inputs_t, state)
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| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| D | cudnn_rnn_test.py | 201 def FProp(self, inputs_t, initial_state_t, training): argument
212 inputs_t, initial_state=initial_state_t, training=training)
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | layers_test.py | 1572 inputs_t = sparse_tensor.SparseTensor(indices, values, shape)
1574 flattened_t = _layers._inner_flatten(inputs_t, new_rank)
|