| /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,
308 if self.stateful or self.return_state:
397 return_state=False, argument
406 return_state=return_state,
509 if self.stateful or self.return_state:
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| D | convolutional_recurrent.py | 160 return_state=False, argument
174 return_state,
214 if self.return_state:
344 if self.return_state:
358 if self.return_state:
850 return_state=False, argument
880 return_state=return_state,
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| D | wrappers.py | 510 self.return_state = layer.return_state
558 if self.return_state:
571 if self.return_state:
709 if self.return_state:
731 if self.return_state:
759 if self.return_state:
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| D | recurrent_v2.py | 367 return_state=False, argument
397 return_state=return_state,
472 if self.return_state:
1091 return_state=False, argument
1121 return_state=return_state,
1284 if self.return_state:
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| D | recurrent.py | 397 return_state=False, argument
426 self.return_state = return_state
515 if self.return_state:
532 if self.return_state:
830 if self.return_state:
978 'return_state': self.return_state,
1540 return_state=False, argument
1576 return_state=return_state,
2072 return_state=False, argument
2112 return_state=return_state,
[all …]
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| D | convolutional_recurrent_test.py | 210 return_sequences=False, return_state=True)
217 return_sequences=False, return_state=False)
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| D | recurrent_test.py | 659 return_state=True,
859 layer = keras.layers.RNN(cells, return_state=True, return_sequences=True)
874 stacked_cell, return_state=True, return_sequences=True)
1144 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1170 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1201 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1233 rnn = keras.layers.RNN(cell, return_sequences=True, return_state=True)
1326 Cell(), return_state=True)(x_masked, initial_state=s_0)
1533 layer = keras.layers.RNN(TestCell(), stateful=True, return_state=True)
1566 encoder_output = keras.layers.RNN(create_cell(), return_state=True)(inputs)
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| D | wrappers_test.py | 708 rnn(units, return_state=True), merge_mode=merge_mode)
781 rnn(units, dropout=0.2, return_state=True), merge_mode=merge_mode)
800 rnn(units, return_state=True, return_sequences=True))
829 rnn(units, return_state=True, return_sequences=True))
984 wrapper = keras.layers.Bidirectional(rnn(3, return_state=True))
992 wrapper = keras.layers.Bidirectional(rnn(3, return_state=True),
1057 rnn(units, return_state=True), merge_mode=merge_mode)
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| D | lstm_test.py | 310 layer = keras.layers.LSTM(units, return_state=True, stateful=True)
327 layer = keras.layers.LSTM(units, return_state=True, return_sequences=True)
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| D | gru_v2_test.py | 399 outputs, states = layer_class(units=5, return_state=True)(masked)
683 return_state=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/compiler/mlir/lite/transforms/ |
| D | load_quantization_recipe.cc | 193 OperationState return_state(loc, "tf_quant.pseudo_return", act.getResult(0), in LoadForLSTMOp() local
195 builder->createOperation(return_state); in LoadForLSTMOp()
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | model_architectures.py | 105 encoder = keras.layers.LSTM(latent_dim, return_state=True)
110 latent_dim, return_sequences=True, return_state=True)
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.-r-n-n.pbtxt | 136 …argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'st…
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| D | tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt | 142 …'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 | 142 …'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-l-s-t-m.pbtxt | 205 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
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| D | tensorflow.keras.layers.-g-r-u.pbtxt | 205 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
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| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 193 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
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| D | tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt | 222 …'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwar…
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.layers.-r-n-n.pbtxt | 136 …argspec: "args=[\'self\', \'cell\', \'return_sequences\', \'return_state\', \'go_backwards\', \'st…
|
| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 193 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
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| D | tensorflow.keras.layers.-conv-l-s-t-m2-d.pbtxt | 222 …'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-l-s-t-m.pbtxt | 207 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
|
| D | tensorflow.keras.layers.-g-r-u.pbtxt | 207 …traint\', \'dropout\', \'recurrent_dropout\', \'return_sequences\', \'return_state\', \'go_backwar…
|