Searched refs:vad_gru (Results 1 – 5 of 5) sorted by relevance
| /external/rnnoise/training/ |
| D | rnn_train.py | 65 vad_gru = GRU(24, activation='tanh', recurrent_activation='sigmoid', return_sequences=True, name='v… variable
66 …on='sigmoid', name='vad_output', kernel_constraint=constraint, bias_constraint=constraint)(vad_gru)
67 noise_input = keras.layers.concatenate([tmp, vad_gru, main_input])
69 denoise_input = keras.layers.concatenate([vad_gru, noise_gru, main_input])
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| /external/rnnoise/src/ |
| D | rnn_data.c | 601 static const GRULayer vad_gru = { variable
11038 &vad_gru,
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| D | rnn_reader.c | 66 ALLOC_LAYER(GRULayer, vad_gru); in rnnoise_model_from_file()
131 INPUT_GRU(vad_gru); in rnnoise_model_from_file()
162 FREE_GRU(vad_gru); in rnnoise_model_free()
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| D | rnn_data.h | 11 const GRULayer *vad_gru; member
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| D | rnn.c | 166 compute_gru(rnn->model->vad_gru, rnn->vad_gru_state, dense_out); in compute_rnn()
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