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avfilter/af_arnndn: skip array extra entries by looking for new line
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parent
2014b01352
commit
129978af6b
@ -187,7 +187,7 @@ static void rnnoise_model_free(RNNModel *model)
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static int rnnoise_model_from_file(FILE *f, RNNModel **rnn)
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{
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RNNModel *ret;
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RNNModel *ret = NULL;
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DenseLayer *input_dense;
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GRULayer *vad_gru;
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GRULayer *noise_gru;
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@ -277,13 +277,24 @@ static int rnnoise_model_from_file(FILE *f, RNNModel **rnn)
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} \
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} while (0)
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#define NEW_LINE() do { \
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int c; \
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while ((c = fgetc(f)) != EOF) { \
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if (c == '\n') \
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break; \
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} \
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} while (0)
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#define INPUT_DENSE(name) do { \
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INPUT_VAL(name->nb_inputs); \
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INPUT_VAL(name->nb_neurons); \
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ret->name ## _size = name->nb_neurons; \
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INPUT_ACTIVATION(name->activation); \
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NEW_LINE(); \
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INPUT_ARRAY(name->input_weights, name->nb_inputs * name->nb_neurons); \
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NEW_LINE(); \
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INPUT_ARRAY(name->bias, name->nb_neurons); \
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NEW_LINE(); \
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} while (0)
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#define INPUT_GRU(name) do { \
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@ -291,9 +302,13 @@ static int rnnoise_model_from_file(FILE *f, RNNModel **rnn)
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INPUT_VAL(name->nb_neurons); \
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ret->name ## _size = name->nb_neurons; \
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INPUT_ACTIVATION(name->activation); \
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NEW_LINE(); \
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INPUT_ARRAY3(name->input_weights, name->nb_inputs, name->nb_neurons, 3); \
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NEW_LINE(); \
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INPUT_ARRAY3(name->recurrent_weights, name->nb_neurons, name->nb_neurons, 3); \
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NEW_LINE(); \
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INPUT_ARRAY(name->bias, name->nb_neurons * 3); \
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NEW_LINE(); \
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} while (0)
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INPUT_DENSE(input_dense);
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