32ceb17f2a90899c952162ea44a4a42ff7f1f1fc,glow.py,WN,forward,#WN#Any#,145

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

After Change

        for i in range(self.n_layers):
            in_act = self.in_layers[i](audio)
            acts = fused_add_tanh_sigmoid_multiply(in_act, self.cond_layers[i](spect), torch.IntTensor([self.n_channels]))


            if i < self.n_layers - 1:

Instances