(self,x)
| 38 | self.ps = torch.nn.PixelShuffle(scale_factor) |
| 39 | self.act = torch.nn.PReLU(num_parameters=in_channels) |
| 40 | def forward(self,x): |
| 41 | out = self.act(self.ps(self.conv(x))) |
| 42 | return out |
| 43 | |
| 44 | |
| 45 | class ResidualBlock(torch.nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected