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def forward(self, x): x = torch.nn.functional.relu(self.conv1(x)) x = torch.nn.functional.relu(self.conv2(x)) # Implement upsampling x = torch.nn.functional.interpolate(x, scale_factor=self.upscale_factor, mode='bicubic') return x mode='bicubic') return x