Searched refs:SimpleRNN (Results 1 – 20 of 20) sorted by relevance
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | simplernn_test.py | 44 keras.layers.SimpleRNN,
56 keras.layers.SimpleRNN,
68 layer = keras.layers.SimpleRNN(units, input_shape=(None, embedding_dim))
82 keras.layers.SimpleRNN,
95 keras.layers.SimpleRNN,
102 layer_class = keras.layers.SimpleRNN
120 layer_class = keras.layers.SimpleRNN
131 layer_class = keras.layers.SimpleRNN
145 layer_class = keras.layers.SimpleRNN
170 layer_class = keras.layers.SimpleRNN
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| D | wrappers_test.py | 251 keras.layers.SimpleRNN(7, return_sequences=True)))
253 keras.layers.SimpleRNN(8, return_sequences=False)))
254 model.add(keras.layers.SimpleRNN(1, return_sequences=False))
537 rnn = keras.layers.SimpleRNN
582 rnn = keras.layers.SimpleRNN
601 rnn = keras.layers.SimpleRNN
634 rnn = keras.layers.SimpleRNN
839 layer = keras.layers.Bidirectional(keras.layers.SimpleRNN(3))
854 layer = keras.layers.Bidirectional(keras.layers.SimpleRNN(3))
868 keras.layers.SimpleRNN(
[all …]
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| D | recurrent_test.py | 295 layer = keras.layers.SimpleRNN(
340 rnn = keras.layers.SimpleRNN(
354 rnn_1 = keras.layers.SimpleRNN(units, return_sequences=True)
371 rnn_2 = keras.layers.SimpleRNN(
622 layer_class = keras.layers.SimpleRNN
641 [keras.layers.SimpleRNN, keras.layers.GRU, keras.layers.LSTM])
651 layer_class = keras.layers.SimpleRNN
756 layer=[rnn_v1.SimpleRNN, rnn_v1.GRU, rnn_v1.LSTM,
803 layer_1 = keras.layers.SimpleRNN(3,
923 rnn = keras.layers.SimpleRNN
[all …]
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| D | recurrent.py | 1436 class SimpleRNN(RNN): class
1573 super(SimpleRNN, self).__init__(
1585 return super(SimpleRNN, self).call(
1677 base_config = super(SimpleRNN, self).get_config()
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| D | __init__.py | 221 from tensorflow.python.keras.layers.recurrent import SimpleRNN
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| /external/rnnoise/src/ |
| D | rnn_train.py | 11 from keras.layers import SimpleRNN
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| /external/tensorflow/tensorflow/python/keras/mixed_precision/ |
| D | layer_correctness_test.py | 133 ('SimpleRNN', lambda: recurrent.SimpleRNN(units=4),
142 lambda: wrappers.Bidirectional(recurrent.SimpleRNN(units=4)), (2, 2, 2)),
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| /external/libopus/scripts/ |
| D | rnn_train.py | 11 from keras.layers import SimpleRNN
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| /external/tensorflow/tensorflow/python/keras/benchmarks/layer_benchmarks/ |
| D | layer_benchmarks_test.py | 123 ("SimpleRNN_small_shape", tf.keras.layers.SimpleRNN,
285 tf.keras.layers.SimpleRNN
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 1 path: "tensorflow.keras.layers.SimpleRNN"
3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>"
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| D | tensorflow.keras.layers.pbtxt | 356 name: "SimpleRNN"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.keras.layers.-simple-r-n-n.pbtxt | 1 path: "tensorflow.keras.layers.SimpleRNN"
3 is_instance: "<class \'tensorflow.python.keras.layers.recurrent.SimpleRNN\'>"
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| D | tensorflow.keras.layers.pbtxt | 364 name: "SimpleRNN"
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| /external/tensorflow/tensorflow/python/keras/benchmarks/keras_examples_benchmarks/ |
| D | mnist_irnn_benchmark_test.py | 45 tf.keras.layers.SimpleRNN(
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| /external/rnnoise/training/ |
| D | rnn_train.py | 12 from keras.layers import SimpleRNN
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| /external/libopus/training/ |
| D | rnn_train.py | 12 from keras.layers import SimpleRNN
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| /external/tensorflow/tensorflow/python/keras/utils/ |
| D | multi_gpu_utils_test.py | 209 outputs = keras.layers.SimpleRNN(
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_generator_test.py | 374 layers_module.SimpleRNN(units=1),
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| /external/tensorflow/tensorflow/lite/python/ |
| D | lite_v2_test.py | 1440 ('SimpleRNN_BatchSize_None', tf.keras.layers.SimpleRNN, None),
1443 ('SimpleRNN_BatchSize_One', tf.keras.layers.SimpleRNN, 1),
1470 ('SimpleRNN', tf.keras.layers.SimpleRNN),
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| /external/tensorflow/tensorflow/python/keras/saving/ |
| D | save_weights_test.py | 94 (keras.layers.Bidirectional(keras.layers.SimpleRNN(2))),
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