f1809051ef7d28c59435f36b3ab08c99a0713fdd,glow.py,WN,forward,#WN#Any#,143

Before Change

            in_act = self.in_layers[i](audio)
            in_act = in_act + self.cond_layers[i](spect)

            t_act = torch.nn.functional.tanh(in_act[:, :self.n_channels, :])
            s_act = torch.nn.functional.sigmoid(in_act[:, self.n_channels:, :])
            acts = t_act * s_act

            res_skip_acts = self.res_skip_layers[i](acts)
            if i < self.n_layers - 1:
                audio = res_skip_acts[:,:self.n_channels,:] + audio

After Change

            acts = fused_add_tanh_sigmoid_multiply(
                self.in_layers[i](audio),
                self.cond_layers[i](spect),
                torch.IntTensor([self.n_channels]))

            res_skip_acts = self.res_skip_layers[i](acts)
            if i < self.n_layers - 1:

Instances