93ddba439d54cda15f22ffd9ca52318cfba01475,speech-synthesis/WaveNet/model.py,waveNet,call,#waveNet#,62

Before Change

        with nn.parameter_scope("out1"):
            y1 = F.relu(PF.convolution(out, self.skip_dims, kernel=(1,)))
        with nn.parameter_scope("out2"):
            y2 = F.softmax(PF.convolution(y1, self.output_channels, kernel=(1, )))

        return y2

After Change

        with nn.parameter_scope("out1"):
            y1 = F.relu(PF.convolution(out, self.skip_dims, kernel=(1,)))
        with nn.parameter_scope("out2"):
            y2 = PF.convolution(y1, self.output_channels, kernel=(1, ))

        return y2

Instances