/external/tensorflow/tensorflow/contrib/eager/python/examples/revnet/ |
D | blocks.py | 87 def call(self, h, training=True): argument 94 def backward_grads(self, x, y, dy, training=True): argument 170 def call(self, x, training=True): argument 184 def backward_grads(self, y, dy, training=True): argument 218 def backward_grads_with_downsample(self, x, y, dy, training=True): argument 325 def call(self, x, training=True): argument 396 def call(self, x, training=True): argument 443 def call(self, x, training=True): argument 497 def call(self, x, training=True): argument
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D | revnet.py | 96 def call(self, inputs, training=True): argument 132 def compute_gradients(self, saved_hidden, labels, training=True, l2_reg=True): argument
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/external/tensorflow/tensorflow/contrib/eager/python/examples/densenet/ |
D | densenet.py | 69 def call(self, x, training=True): argument 107 def call(self, x, training=True): argument 141 def call(self, x, training=True): argument 275 def call(self, x, training=True): argument
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/external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
D | resnet50.py | 73 def call(self, input_tensor, training=False): argument 148 def call(self, input_tensor, training=False): argument 275 def call(self, inputs, training=True): argument
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | noise.py | 64 def call(self, inputs, training=None): argument 112 def call(self, inputs, training=None): argument 173 def call(self, inputs, training=None): argument
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D | normalization.py | 438 def _fused_batch_norm(self, inputs, training): argument 499 def _renorm_correction_and_moments(self, mean, variance, training): argument 568 def call(self, inputs, training=None): argument
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D | recurrent.py | 695 training=None, argument 1053 def get_dropout_mask_for_cell(self, inputs, training, count=1): argument 1089 def get_recurrent_dropout_mask_for_cell(self, inputs, training, count=1): argument 1232 def call(self, inputs, states, training=None): argument 1408 def call(self, inputs, mask=None, training=None, initial_state=None): argument 1647 def call(self, inputs, states, training=None): argument 1928 def call(self, inputs, mask=None, training=None, initial_state=None): argument 2214 def call(self, inputs, states, training=None): argument 2540 def call(self, inputs, mask=None, training=None, initial_state=None): argument 2664 def _generate_dropout_mask(ones, rate, training=None, count=1): argument
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D | recurrent_v2.py | 211 def call(self, inputs, mask=None, training=None, initial_state=None): argument 261 def _defun_gru_call(self, inputs, initial_state, training): argument 582 def call(self, inputs, mask=None, training=None, initial_state=None): argument
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D | wrappers.py | 219 def call(self, inputs, training=None, mask=None): argument 509 training=None, argument
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D | convolutional_recurrent.py | 346 training=None, argument 648 def call(self, inputs, states, training=None): argument 932 def call(self, inputs, mask=None, training=None, initial_state=None): argument
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager.py | 69 training=False): argument 184 training=False): argument
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D | sequential.py | 238 def call(self, inputs, training=None, mask=None): # pylint: disable=redefined-outer-name argument
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/external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
D | util.py | 90 def call(self, x, training=None): argument
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D | export_mnist_cnn.py | 96 def call_fn(inputs, training, *args): argument
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/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
D | rnn_ptb.py | 58 def call(self, input_seq, training): argument 133 def call(self, input_seq, training): argument 155 def loss_fn(model, inputs, targets, training): argument
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | gradients_test.py | 243 def __call__(self, inputs, training): argument 265 def create_mnist_autobatch(batch_size, data_format, training): argument 281 def create_mnist_per_eg_grad(batch_size, data_format, training): argument 304 def create_mnist_batch_jacobian(batch_size, data_format, training): argument 314 def create_mnist_per_eg_jacobian(batch_size, data_format, training): argument
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/external/tensorflow/tensorflow/python/layers/ |
D | core.py | 226 def call(self, inputs, training=False): argument 238 training=False, argument
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D | normalization.py | 154 def call(self, inputs, training=False): argument 175 training=False, argument
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/external/tensorflow/tensorflow/examples/tutorials/mnist/ |
D | mnist.py | 100 def training(loss, learning_rate): function
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/external/tensorflow/tensorflow/python/saved_model/ |
D | load_test.py | 255 def func(x, training=False): argument 341 def func(x, training=True): argument 438 def func(x, training=False, abc=7.1, defg=7.7): argument 462 def func(x, training=False, **options): argument 491 def f(self, x, training=False): argument 705 def func(x, training=False): argument 1097 def func(a=1, b=2, c=3, training=True): argument
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/external/tensorflow/tensorflow/python/keras/ |
D | model_subclassing_test.py | 964 def call(self, inputs, training=False): argument 1120 def call(self, first, second, fiddle_with_output='no', training=True): argument 1134 def call(self, x, training): argument 1144 def call(self, x, training=False, mask=None): argument 1204 def call(self, inputs, some_other_arg, training=False): argument 1248 def call(self, x, training=True, *args, **kwargs): # pylint:disable=keyword-arg-before-vararg argument 1273 def call(self, x, training, positional): argument
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/external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
D | tensor_forest.py | 307 def __init__(self, params, tree_num, training, tree_config='', tree_stat=''): argument 338 def __init__(self, params, device_assigner, training=True, argument 378 training=True): argument
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/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
D | rnn_colorbot.py | 160 def call(self, inputs, training=False): argument
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
D | batch_normalization.py | 150 training=True, argument
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/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/layers/ |
D | cudnn_rnn.py | 382 training=True): argument 499 training): argument
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