| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | recurrent_v2_test.py | 75 layer = layer(units, dropout=0.5, recurrent_dropout=0.5)
83 dropout = layer.cell.get_dropout_mask_for_cell(inputs, training=True)
88 self.evaluate(dropout))
89 previous_dropout = dropout
101 layer(128, stateful=True, return_sequences=True, dropout=0.2,
109 x = keras.layers.GRU(64, activation='relu', name='GRU', dropout=0.1)(inputs)
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| D | recurrent.py | 1164 self.dropout,
1191 if self.dropout == 0:
1315 dropout=0., argument
1340 self.dropout = min(1., max(0., dropout))
1426 self.dropout,
1537 dropout=0., argument
1568 dropout=dropout,
1637 def dropout(self): member in SimpleRNN
1638 return self.cell.dropout
1673 self.dropout,
[all …]
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| D | dense_attention.py | 80 def __init__(self, causal=False, dropout=0.0, argument
84 self.dropout = dropout
139 return nn.dropout(weights, rate=self.dropout)
218 'dropout': self.dropout,
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| D | convolutional_recurrent.py | 511 dropout=0., argument
539 self.dropout = min(1., max(0., dropout))
600 if 0 < self.dropout < 1.:
693 'dropout': self.dropout,
853 dropout=0.,
875 dropout=dropout,
969 def dropout(self): member in ConvLSTM2D
970 return self.cell.dropout
1005 'dropout': self.dropout,
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| D | recurrent_v2.py | 195 dropout=0., argument
213 dropout=dropout,
364 dropout=0., argument
393 dropout=dropout,
934 dropout=0., argument
952 dropout=dropout,
1088 dropout=0., argument
1117 dropout=dropout,
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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_CudnnRNNCanonicalToParamsV2.pbtxt | 30 dropout: dropout probability. When set to 0., dropout is disabled.
31 seed: the 1st part of a seed to initialize dropout.
32 seed2: the 2nd part of a seed to initialize dropout.
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| D | api_def_CudnnRNNParamsToCanonicalV2.pbtxt | 30 dropout: dropout probability. When set to 0., dropout is disabled.
31 seed: the 1st part of a seed to initialize dropout.
32 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_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_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_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/python/ops/ |
| D | nn_test.py | 346 dropout = nn_ops.dropout(t, rate=(1 - keep_prob))
348 self.assertEqual([x_dim, y_dim], dropout.get_shape())
350 value = self.evaluate(dropout)
373 dropout = nn_ops.dropout(t, rate=(1 - keep_prob), noise_shape=[x_dim, 1])
374 self.assertEqual([x_dim, y_dim], dropout.get_shape())
377 value = self.evaluate(dropout)
397 dropout = nn_ops.dropout(t, rate=(1 - keep_prob), noise_shape=[x_dim, 1])
398 self.assertEqual([x_dim, y_dim], dropout.get_shape())
400 value = self.evaluate(dropout)
419 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/layers/ |
| D | core.py | 30 dropout = core.dropout variable
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| D | models.py | 279 first_dropout = tf.nn.dropout(first_relu, rate=dropout_rate)
306 second_dropout = tf.nn.dropout(second_relu, rate=dropout_rate)
405 first_dropout = tf.nn.dropout(first_relu, rate=dropout_rate)
429 second_fc_input = tf.nn.dropout(first_fc, rate=dropout_rate)
443 final_fc_input = tf.nn.dropout(second_fc, rate=dropout_rate)
625 first_dropout = tf.nn.dropout(first_relu, rate=dropout_rate)
640 second_fc_input = tf.nn.dropout(first_fc, rate=dropout_rate)
654 final_fc_input = tf.nn.dropout(second_fc, rate=dropout_rate)
737 first_dropout = tf.nn.dropout(first_relu, rate=dropout_rate)
844 first_dropout = tf.nn.dropout(first_relu, rate=dropout_rate)
[all …]
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| /external/tensorflow/tensorflow/compiler/jit/tests/ |
| D | opens2s_gnmt_mixed_precision.pbtxt.gz | |
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | CudnnRNNV3.pbtxt | 97 name: "dropout"
222 name: "dropout"
354 name: "dropout"
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| D | CudnnRNNParamsSize.pbtxt | 83 name: "dropout"
186 name: "dropout"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | CudnnRNNParamsSize.pbtxt | 83 name: "dropout"
186 name: "dropout"
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| D | CudnnRNNV3.pbtxt | 97 name: "dropout"
222 name: "dropout"
|