shithub: opus

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Fix conv1d, default to size 384

--- a/dnn/dump_lpcnet.py

+++ b/dnn/dump_lpcnet.py

@@ -115,7 +115,7 @@

 Embedding.dump_layer = dump_embedding_layer

-model, _, _ = lpcnet.new_lpcnet_model(rnn_units1=640, use_gpu=False)

+model, _, _ = lpcnet.new_lpcnet_model(rnn_units1=384, use_gpu=False)

 model.compile(optimizer='adam', loss='sparse_categorical_crossentropy', metrics=['sparse_categorical_accuracy'])

 #model.summary()

--- a/dnn/nnet.c

+++ b/dnn/nnet.c

@@ -210,11 +210,9 @@

    int stride;

    float tmp[MAX_CONV_INPUTS];

    celt_assert(layer->nb_inputs*layer->kernel_size <= MAX_CONV_INPUTS);

-   M = layer->nb_inputs;

-   N = layer->nb_neurons;

    RNN_COPY(tmp, mem, layer->nb_inputs*(layer->kernel_size-1));

    RNN_COPY(tmp, input, layer->nb_inputs);

-   M = layer->nb_inputs;

+   M = layer->nb_inputs*layer->kernel_size;

    N = layer->nb_neurons;

    stride = N;

    for (i=0;i<N;i++)

-- 

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