ebb2cee3deb5e97ce6692b90b5938818e5d9b97c,cube/models/vocoder.py,BeeCoder,learn,#BeeCoder#Any#Any#Any#,141

Before Change

                                                                                          self.UPSAMPLE_COUNT])
                target_vec_1 = wave[
                               mgc_index * self.UPSAMPLE_COUNT:mgc_index * self.UPSAMPLE_COUNT + self.UPSAMPLE_COUNT]
                losses.append(dy.l1_distance(pred_output, dy.inputVector(target_vec_1)))

                history = wave[
                          (mgc_index + 1) * self.UPSAMPLE_COUNT - self.HISTORY:(mgc_index + 1) * self.UPSAMPLE_COUNT]

After Change

                frame_losses = []
                for ii in range(len(softmax_outputs)):
                    frame_losses.append(
                        -dy.log(dy.pick(softmax_outputs[ii], disc[mgc_index * self.UPSAMPLE_COUNT + ii])))
                losses.append(dy.esum(frame_losses))

                history = wave[

Instances