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/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/ops/
Dcudnn_rnn_ops.py962 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 …]
/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_CudnnRNNParamsSize.pbtxt18 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.
Dapi_def_CudnnRNNCanonicalToParams.pbtxt31 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.
Dapi_def_CudnnRNNParamsToCanonical.pbtxt31 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.
Dapi_def_CudnnRNN.pbtxt15 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.
Dapi_def_CudnnRNNV2.pbtxt16 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.
Dapi_def_CudnnRNNBackprop.pbtxt14 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.
Dapi_def_CudnnRNNV3.pbtxt16 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.
Dapi_def_CudnnRNNBackpropV2.pbtxt17 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.
Dapi_def_CudnnRNNBackpropV3.pbtxt16 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.
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Ddnn.py129 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,
Dnonlinear_test.py101 dropout=0.0,
113 dropout=0.1,
125 dropout=0.9,
/external/tensorflow/tensorflow/contrib/boosted_trees/proto/
Dlearner.proto35 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.
/external/tensorflow/tensorflow/python/ops/
Dnn_test.py316 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 …]
Dcudnn_rnn_grad.py42 dropout=op.get_attr("dropout"),
68 dropout=op.get_attr("dropout"),
97 dropout=op.get_attr("dropout"),
/external/tensorflow/tensorflow/python/keras/layers/
Drecurrent.py1069 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 …]
Dconvolutional_recurrent.py569 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,
Drecurrent_v2.py164 dropout=0., argument
194 dropout=dropout,
534 dropout=0., argument
564 dropout=dropout,
/external/tensorflow/tensorflow/contrib/slim/python/slim/nets/
Dvgg.py117 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(
Doverfeat.py113 net = layers_lib.dropout(
116 net = layers_lib.dropout(
Dalexnet.py117 net = layers_lib.dropout(
120 net = layers_lib.dropout(
/external/tensorflow/tensorflow/examples/speech_commands/
Dmodels.py272 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)
/external/tensorflow/tensorflow/examples/tutorials/layers/
Dcnn_mnist.py81 dropout = tf.layers.dropout(
87 logits = tf.layers.dense(inputs=dropout, units=10)
/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/
Dcudnn_rnn_ops_test.py75 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.,
/external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/
Drnn_ptb.py70 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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