9cf2bcdb24f23a17ec11e69b8885851771dfd3d8,cube/models/vocoder.py,BeeCoder,learn,#BeeCoder#,121

Before Change

            // print (fft_pow)
            // print (fft_angle)
            // print("")
            losses.append(dy.binary_log_loss(output_power, dy.inputVector(fft_pow)))

            if len(losses) >= batch_size:
                loss = dy.esum(losses)

After Change

            if mgc_index != len(mgc) - 1:
                losses.append(dy.squared_distance(pred_output, dy.inputVector(
                    wave[mgc_index * self.UPSAMPLE_COUNT:mgc_index * self.UPSAMPLE_COUNT + self.UPSAMPLE_COUNT])))

            if len(losses) >= batch_size:
                loss = dy.esum(losses)

Instances