| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | cudnn_recurrent.py | 58 return_state=False, argument
67 self.return_state = return_state
119 if self.return_state:
127 'return_state': self.return_state,
212 return_state=False, argument
221 return_state=return_state,
305 if self.stateful or self.return_state:
394 return_state=False, argument
403 return_state=return_state,
503 if self.stateful or self.return_state:
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| D | recurrent_v2.py | 168 return_state=False, argument
198 return_state=return_state,
254 if self.return_state:
538 return_state=False, argument
568 return_state=return_state,
675 if self.return_state:
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| D | wrappers.py | 403 self.return_state = layer.return_state
418 if self.return_state:
429 if self.return_state:
549 if self.return_state:
570 if self.return_state:
598 if self.return_state:
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| D | recurrent.py | 368 return_state=False, argument
397 self.return_state = return_state
469 if self.return_state:
486 if self.return_state:
776 if self.return_state:
883 'return_state': self.return_state,
1372 return_state=False, argument
1400 return_state=return_state,
1889 return_state=False, argument
1920 return_state=return_state,
[all …]
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| D | convolutional_recurrent.py | 161 return_state=False, argument
175 return_state,
215 if self.return_state:
405 if self.return_state:
419 if self.return_state:
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| D | recurrent_test.py | 669 return_state=True,
809 layer = keras.layers.RNN(cells, return_state=True, return_sequences=True)
824 stacked_cell, return_state=True, return_sequences=True)
1056 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1082 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1113 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1145 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1238 Cell(), return_state=True)(x_masked, initial_state=s_0)
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| D | wrappers_test.py | 454 rnn(units, return_state=True), merge_mode=merge_mode)
493 rnn(units, dropout=0.2, return_state=True), merge_mode=merge_mode)
512 rnn(units, return_state=True, return_sequences=True))
697 rnn(units, return_state=True), merge_mode=merge_mode)
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| D | lstm_test.py | 269 layer = keras.layers.LSTM(units, return_state=True, stateful=True)
286 layer = keras.layers.LSTM(units, return_state=True, return_sequences=True)
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| D | gru_v2_test.py | 348 outputs, states = layer_class(units=5, return_state=True)(masked)
516 return_state=True,
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| D | lstm_v2_test.py | 252 layer = rnn.LSTM(units, return_state=True, stateful=True)
270 units, return_state=True, return_sequences=True)
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| D | cudnn_recurrent_test.py | 84 layer = layer_class(units, return_state=True, stateful=True)
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| /external/emma/lib/internal/ |
| D | stamptool.jar | ... token
char c
char c
char c
char c
int return_state
int scan
int state
StringBuffer b
StringBuffer b
int ei ... |
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt | 99 …'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwar…
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| D | tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt | 99 …'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-r-n-n.pbtxt | 93 …argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'st…
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| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 150 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-g-r-u.pbtxt | 162 …', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-l-s-t-m.pbtxt | 162 …', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.layers.-r-n-n.pbtxt | 93 …argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'st…
|
| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 150 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-g-r-u.pbtxt | 164 …', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-l-s-t-m.pbtxt | 164 …', \'recurrent_dropout\', \'implementation\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/nmt_with_attention/ |
| D | nmt_with_attention.ipynb | 395 " return_state=True, \n",
400 " return_state=True, \n",
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | rnn_test.py | 579 layer = keras.layers.RNN(cell, return_sequences=True, return_state=True)
|