/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/ops/ |
D | cudnn_rnn_ops.py | 962 dropout=0., argument 1021 "dropout": dropout, 1053 dropout=0., argument 1097 dropout, seed, name) 1109 dropout=0., argument 1153 time_major, input_mode, direction, dropout, seed, name) 1165 dropout=0., argument 1207 direction, dropout, seed, name) 1216 dropout=0., argument 1259 input_mode, direction, dropout, seed, name) [all …]
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_CudnnRNNParamsSize.pbtxt | 18 dropout: dropout probability. When set to 0., dropout is disabled. 19 seed: the 1st part of a seed to initialize dropout. 20 seed2: the 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNCanonicalToParams.pbtxt | 31 dropout: dropout probability. When set to 0., dropout is disabled. 32 seed: the 1st part of a seed to initialize dropout. 33 seed2: the 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNParamsToCanonical.pbtxt | 31 dropout: dropout probability. When set to 0., dropout is disabled. 32 seed: the 1st part of a seed to initialize dropout. 33 seed2: the 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNN.pbtxt | 15 dropout: Dropout probability. When set to 0., dropout is disabled. 16 seed: The 1st part of a seed to initialize dropout. 17 seed2: The 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNV2.pbtxt | 16 dropout: Dropout probability. When set to 0., dropout is disabled. 17 seed: The 1st part of a seed to initialize dropout. 18 seed2: The 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNBackprop.pbtxt | 14 dropout: Dropout probability. When set to 0., dropout is disabled. 15 seed: The 1st part of a seed to initialize dropout. 16 seed2: The 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNV3.pbtxt | 16 dropout: Dropout probability. When set to 0., dropout is disabled. 17 seed: The 1st part of a seed to initialize dropout. 18 seed2: The 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNBackpropV2.pbtxt | 17 dropout: Dropout probability. When set to 0., dropout is disabled. 18 seed: The 1st part of a seed to initialize dropout. 19 seed2: The 2nd part of a seed to initialize dropout.
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D | api_def_CudnnRNNBackpropV3.pbtxt | 16 dropout: Dropout probability. When set to 0., dropout is disabled. 17 seed: The 1st part of a seed to initialize dropout. 18 seed2: The 2nd part of a seed to initialize dropout.
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | dnn.py | 129 dropout = params.get("dropout") 178 if dropout is not None and mode == model_fn.ModeKeys.TRAIN: 179 net = layers.dropout(net, keep_prob=(1.0 - dropout)) 309 dropout=None, argument 383 "dropout": dropout, 597 dropout=None, argument 665 "dropout": dropout, 877 dropout=None, argument 930 "dropout": dropout,
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D | nonlinear_test.py | 101 dropout=0.0, 113 dropout=0.1, 125 dropout=0.9,
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/external/tensorflow/tensorflow/contrib/boosted_trees/proto/ |
D | learner.proto | 35 LearningRateDropoutDrivenConfig dropout = 2; field 75 // When trees are built after dropout happen, they don't "advance" to the 77 // choose to skip dropout periodically, to allow a new tree that "advances" 79 // For example, if running for 200 steps with probability of dropout 1/100, 80 // you would expect the dropout to start happening for sure for all iterations 82 // way iterations 100-200 will include approx 90 iterations of dropout and 10 84 // the refinement trees after dropout kicks in.
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/external/tensorflow/tensorflow/python/ops/ |
D | nn_test.py | 316 dropout = nn_ops.dropout(t, keep_prob) 318 self.assertEqual([x_dim, y_dim], dropout.get_shape()) 320 value = self.evaluate(dropout) 343 dropout = nn_ops.dropout(t, keep_prob, noise_shape=[x_dim, 1]) 344 self.assertEqual([x_dim, y_dim], dropout.get_shape()) 347 value = self.evaluate(dropout) 367 dropout = nn_ops.dropout(t, keep_prob, noise_shape=[x_dim, 1]) 368 self.assertEqual([x_dim, y_dim], dropout.get_shape()) 370 value = self.evaluate(dropout) 389 dropout = nn_ops.dropout(t, keep_prob_placeholder) [all …]
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D | cudnn_rnn_grad.py | 42 dropout=op.get_attr("dropout"), 68 dropout=op.get_attr("dropout"), 97 dropout=op.get_attr("dropout"),
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | recurrent.py | 1069 if self.dropout == 0: 1076 self.dropout, 1182 dropout=0., argument 1202 self.dropout = min(1., max(0., dropout)) 1283 self.dropout, 1369 dropout=0., argument 1395 dropout=dropout, 1463 def dropout(self): member in SimpleRNN 1464 return self.cell.dropout 1499 self.dropout, [all …]
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D | convolutional_recurrent.py | 569 dropout=0., argument 597 self.dropout = min(1., max(0., dropout)) 658 if 0 < self.dropout < 1.: 751 'dropout': self.dropout, 901 dropout=0., 923 dropout=dropout, 1017 def dropout(self): member in ConvLSTM2D 1018 return self.cell.dropout 1053 'dropout': self.dropout,
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D | recurrent_v2.py | 164 dropout=0., argument 194 dropout=dropout, 534 dropout=0., argument 564 dropout=dropout,
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/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
D | vgg.py | 117 net = layers_lib.dropout( 120 net = layers_lib.dropout( 182 net = layers_lib.dropout( 185 net = layers_lib.dropout( 247 net = layers_lib.dropout( 250 net = layers_lib.dropout(
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D | overfeat.py | 113 net = layers_lib.dropout( 116 net = layers_lib.dropout(
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D | alexnet.py | 117 net = layers_lib.dropout( 120 net = layers_lib.dropout(
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/external/tensorflow/tensorflow/examples/speech_commands/ |
D | models.py | 272 first_dropout = tf.nn.dropout(first_relu, dropout_prob) 294 second_dropout = tf.nn.dropout(second_relu, dropout_prob) 391 first_dropout = tf.nn.dropout(first_relu, dropout_prob) 415 second_fc_input = tf.nn.dropout(first_fc, dropout_prob) 429 final_fc_input = tf.nn.dropout(second_fc, dropout_prob) 610 first_dropout = tf.nn.dropout(first_relu, dropout_prob) 625 second_fc_input = tf.nn.dropout(first_fc, dropout_prob) 639 final_fc_input = tf.nn.dropout(second_fc, dropout_prob) 721 first_dropout = tf.nn.dropout(first_relu, dropout_prob)
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/external/tensorflow/tensorflow/examples/tutorials/layers/ |
D | cnn_mnist.py | 81 dropout = tf.layers.dropout( 87 logits = tf.layers.dense(inputs=dropout, units=10)
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/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
D | cudnn_rnn_ops_test.py | 75 dropout=0., argument 82 if is_training and not np.isclose(dropout, 0): 154 dropout=dropout, 525 dropout=0., 540 dropout=1., 562 dropout=0., argument 569 if is_training and not np.isclose(dropout, 0): 652 dropout=dropout, 898 dropout=0., 913 dropout=1.,
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/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
D | rnn_ptb.py | 70 input_seq = tf.nn.dropout(input_seq, self.keep_ratio) 125 num_layers, hidden_dim, dropout=dropout_ratio) 144 y = tf.nn.dropout(y, self.keep_ratio) 315 FLAGS.hidden_dim, FLAGS.num_layers, FLAGS.dropout,
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