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author | Jean-Marc Valin <jmvalin@jmvalin.ca> | 2017-09-02 00:45:30 +0300 |
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committer | Jean-Marc Valin <jmvalin@jmvalin.ca> | 2017-09-02 00:45:30 +0300 |
commit | 95caa5900d7656214e34890bef94169beadbd8fa (patch) | |
tree | 1d159c527badba403a45bd9f06090a5531c74f35 | |
parent | 3d260c45ed069410df1e9cc1e41e58dbf8ada1d3 (diff) |
Cleanup
-rw-r--r-- | src/rnn.c | 21 |
1 files changed, 0 insertions, 21 deletions
@@ -176,24 +176,3 @@ void compute_rnn(RNNState *rnn, float *gains, float *vad, const float *input) { compute_gru(&denoise_gru, rnn->denoise_gru_state, denoise_input); compute_dense(&denoise_output, gains, rnn->denoise_gru_state); } - -#if 0 -int main() { - float vad_out[MAX_NEURONS] = {0}; - float input[INPUT_SIZE]; - float gains[DENOISE_OUTPUT_SIZE]; - RNNState rnn; - RNN_CLEAR(&rnn, 1); - while (1) - { - int i; - for (i=0;i<INPUT_SIZE;i++) scanf("%f", &input[i]); - for (i=0;i<45;i++) scanf("%f", &vad_out[0]); - if (feof(stdin)) break; - compute_rnn(&rnn, gains, vad_out, input); - - for (i=0;i<22;i++) printf("%f ", gains[i]); - printf("%f\n", vad_out[0]); - } -} -#endif |