def forward(self, inputs: torch.Tensor) -> torch.Tensor:
        """Decode quantized feature maps into an image.

        Args:
            inputs (torch.Tensor): Quantized feature maps.

        Returns:
            Decoded image.
        """
        x = self._conv_1(inputs)

        x = self._residual_stack(x)

        x = self._conv_trans_1(x)
        x = F.relu(x)

        return self._conv_trans_2(x)
Decode quantized feature maps into an image.

        Args:
            inputs (torch.Tensor): Quantized feature maps.

        Returns:
            Decoded image.
        
src/anomalib/models/image/dsr/torch_model.py