| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | cudnn_recurrent.py | 57 return_sequences=False, argument
66 self.return_sequences = return_sequences
126 'return_sequences': self.return_sequences,
211 return_sequences=False, argument
220 return_sequences=return_sequences,
307 if self.return_sequences:
393 return_sequences=False, argument
402 return_sequences=return_sequences,
506 if self.return_sequences:
|
| D | serialization_test.py | 74 lstm = layer(5, return_sequences=True)
79 self.assertEqual(new_layer.return_sequences, True)
88 gru = layer(5, return_sequences=True)
93 self.assertEqual(new_layer.return_sequences, True)
|
| D | convolutional_recurrent_test.py | 37 return_sequences=[True, False]))
38 def test_conv_lstm(self, data_format, return_sequences): argument
59 'return_sequences': return_sequences,
80 'return_sequences': return_sequences,
|
| D | gru_v2_test.py | 126 model.add(rnn.GRU(10, return_sequences=True, unroll=False))
127 model.add(rnn.GRU(5, return_sequences=True, unroll=False))
281 return_sequences=True,
311 model.add(layer_class(units=5, return_sequences=True, unroll=False))
322 model.add(rnn.GRU(10, return_sequences=True, unroll=False))
323 model.add(rnn.GRU(5, return_sequences=True, unroll=False))
375 return_sequences=False,
403 return_sequences=False,
435 units, return_sequences=False, stateful=True, weights=None)
495 rnn.GRU(units, return_sequences=True, stateful=True),
[all …]
|
| D | cudnn_recurrent_test.py | 42 return_sequences=[True, False]))
44 def test_cudnn_rnn_return_sequence(self, layer_class, return_sequences): argument
52 'return_sequences': return_sequences},
110 layer = layer_class(units, time_major=True, return_sequences=True)
171 return_sequences=False,
181 return_sequences=False,
211 units, return_sequences=False, stateful=True, weights=None)
422 rnn(output_dim, return_sequences=True),
|
| D | recurrent_v2.py | 167 return_sequences=False, argument
197 return_sequences=return_sequences,
249 if self.return_sequences:
537 return_sequences=False, argument
567 return_sequences=return_sequences,
670 if self.return_sequences:
|
| D | simplernn_test.py | 90 return_sequences=False,
108 model.add(layer_class(units=5, return_sequences=True, unroll=False))
124 return_sequences=False,
156 units, return_sequences=False, stateful=True, weights=None)
|
| D | lstm_test.py | 57 layer = keras.layers.LSTM(units, return_sequences=True)
109 return_sequences=False,
127 model.add(layer_class(units=5, return_sequences=True, unroll=False))
141 model.add(keras.layers.RNN(lstm_cells, return_sequences=True, unroll=False))
286 layer = keras.layers.LSTM(units, return_state=True, return_sequences=True)
328 return_sequences=False,
359 units, return_sequences=False, stateful=True, weights=None)
|
| D | lstm_v2_test.py | 90 layer = rnn.LSTM(units, return_sequences=True)
113 model.add(rnn.LSTM(10, return_sequences=True, unroll=False))
114 model.add(rnn.LSTM(5, return_sequences=True, unroll=False))
270 units, return_state=True, return_sequences=True)
367 return_sequences=False,
384 model.add(layer_class(units=5, return_sequences=True, unroll=False))
396 model.add(rnn.LSTM(10, return_sequences=True, unroll=False))
397 model.add(rnn.LSTM(5, return_sequences=True, unroll=False))
424 return_sequences=True,
567 return_sequences=False,
[all …]
|
| D | gru_test.py | 114 model.add(layer_class(units=5, return_sequences=True, unroll=False))
137 units, return_sequences=False, stateful=True, weights=None)
196 return_sequences=False,
219 return_sequences=False,
|
| D | convolutional_recurrent.py | 160 return_sequences=False, argument
174 return_sequences,
212 if not self.return_sequences:
400 if self.return_sequences:
421 if self.return_sequences:
898 return_sequences=False, argument
926 return_sequences=return_sequences,
|
| D | wrappers.py | 388 layer.zero_output_for_mask = layer.return_sequences
402 self.return_sequences = layer.return_sequences
554 if self.return_sequences:
590 if self.return_sequences:
|
| D | recurrent.py | 367 return_sequences=False, argument
396 self.return_sequences = return_sequences
451 if self.return_sequences:
485 output_mask = mask if self.return_sequences else None
771 if self.return_sequences:
882 'return_sequences': self.return_sequences,
1371 return_sequences=False, argument
1399 return_sequences=return_sequences,
1888 return_sequences=False, argument
1919 return_sequences=return_sequences,
[all …]
|
| D | recurrent_test.py | 292 units, time_major=True, return_sequences=True)
317 layer = keras.layers.RNN(cells, time_major=True, return_sequences=True)
337 units, time_major=True, return_sequences=True)(mask)
350 rnn_1 = keras.layers.SimpleRNN(units, return_sequences=True)
368 units, time_major=True, return_sequences=True)
670 return_sequences=True,
780 return_sequences=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)
[all …]
|
| D | wrappers_test.py | 203 keras.layers.SimpleRNN(7, return_sequences=True)))
205 keras.layers.SimpleRNN(8, return_sequences=False)))
206 model.add(keras.layers.SimpleRNN(1, return_sequences=False))
377 rnn(output_dim, return_sequences=True),
437 rnn(units, return_sequences=True), merge_mode=merge_mode)
512 rnn(units, return_state=True, return_sequences=True))
723 rnn(units, return_sequences=True),
|
| D | recurrent_v2_test.py | 57 layer(units, return_sequences=True, stateful=True),
|
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| D | keras_lstm_model_correctness_test.py | 40 return_sequences=False)(word_embed)
|
| D | keras_stateful_lstm_model_correctness_test.py | 61 return_sequences=False,
|
| /external/libopus/scripts/ |
| D | rnn_train.py | 30 …recurrent_dropout=0.1, activation='tanh', recurrent_activation='sigmoid', return_sequences=True)(x)
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | integration_test.py | 121 keras.layers.LSTM(5, return_sequences=True),
150 model.add(keras.layers.RNN(rnn_cell.LSTMCell(5), return_sequences=True,
|
| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| D | export_text_rnn_model.py | 43 self._lstm_cell, return_sequences=True)
|
| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | multi_gpu_utils_test.py | 192 3, return_sequences=True)(inputs, initial_state=init_state)
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.-cu-d-n-n-l-s-t-m.pbtxt | 99 …rnel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_s…
|
| D | tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt | 99 …rnel_constraint\', \'recurrent_constraint\', \'bias_constraint\', \'return_sequences\', \'return_s…
|
| /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…
|