Searched refs:layer_class (Results 1 – 9 of 9) sorted by relevance
/external/tensorflow/tensorflow/python/keras/layers/ |
D | cudnn_recurrent_test.py | 44 layer_class=[keras.layers.CuDNNGRU, keras.layers.CuDNNLSTM], 47 def test_cudnn_rnn_return_sequence(self, layer_class, return_sequences): argument 53 layer_class, 60 layer_class=[keras.layers.CuDNNGRU, keras.layers.CuDNNLSTM], 63 def test_cudnn_rnn_go_backward(self, layer_class, go_backwards): argument 69 layer_class, 79 def test_return_state(self, layer_class): argument 84 num_states = 2 if layer_class is keras.layers.CuDNNLSTM else 1 87 layer = layer_class(units, return_state=True, stateful=True) 104 def test_time_major_input(self, layer_class): argument [all …]
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D | simplernn_test.py | 102 layer_class = keras.layers.SimpleRNN 106 layer = layer_class( 120 layer_class = keras.layers.SimpleRNN 126 model.add(layer_class(units=5, return_sequences=True, unroll=False)) 131 layer_class = keras.layers.SimpleRNN 133 l1 = layer_class(units=1, stateful=stateful) 134 l2 = layer_class.from_config(l1.get_config()) 145 layer_class = keras.layers.SimpleRNN 146 layer = layer_class( 170 layer_class = keras.layers.SimpleRNN [all …]
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D | gru_test.py | 139 layer_class = keras.layers.GRU 145 model.add(layer_class(units=5, return_sequences=True, unroll=False)) 159 layer_class = keras.layers.GRU 169 layer = layer_class( 233 layer_class = keras.layers.GRU 237 layer = layer_class( 251 layer_class = keras.layers.GRU 253 l1 = layer_class(units=1, stateful=stateful) 254 l2 = layer_class.from_config(l1.get_config()) 265 layer_class = keras.layers.GRU [all …]
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D | lstm_test.py | 128 layer_class = keras.layers.LSTM 132 layer = layer_class( 150 layer_class = keras.layers.LSTM 156 model.add(layer_class(units=5, return_sequences=True, unroll=unroll)) 180 layer_class = keras.layers.LSTM 182 l1 = layer_class(units=1, stateful=stateful) 183 l2 = layer_class.from_config(l1.get_config()) 342 layer_class = keras.layers.LSTM 349 layer = layer_class(units) 369 layer_class = keras.layers.LSTM [all …]
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D | gru_v2_test.py | 147 layer_class = rnn.GRU 149 l1 = layer_class(units=1, stateful=stateful) 150 l2 = layer_class.from_config(l1.get_config()) 331 layer_class = rnn.GRU 337 model.add(layer_class(units=5, return_sequences=True, unroll=False)) 392 layer_class = rnn.GRU 399 outputs, states = layer_class(units=5, return_state=True)(masked) 420 layer_class = rnn.GRU 424 layer = layer_class( 451 layer_class = rnn.GRU [all …]
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D | lstm_v2_test.py | 133 layer_class = rnn.LSTM 135 l1 = layer_class(units=1, stateful=stateful) 136 l2 = layer_class.from_config(l1.get_config()) 302 layer_class = rnn.LSTM 309 layer = layer_class(units) 391 layer_class = rnn.LSTM 395 layer = layer_class( 408 layer_class = rnn.LSTM 414 model.add(layer_class(units=5, return_sequences=True, unroll=False)) 616 layer_class = rnn.LSTM [all …]
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D | recurrent_test.py | 622 layer_class = keras.layers.SimpleRNN 626 layer = layer_class(units) 651 layer_class = keras.layers.SimpleRNN 658 layer = layer_class(units, 665 output = layer_class(units)(input2, initial_state=state)
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | control_flow_test.py | 114 def test_control_flow_layer(self, layer_class): argument 115 model = testing_utils.get_model_from_layers([layer_class()],
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | save_weights_test.py | 202 self, layer_class, layer_args): argument 204 layer = layer_class(**layer_args)
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