def forward(self, _: torch.Tensor, __: torch.Tensor, b3: torch.Tensor) -> torch.Tensor:
        """Decode a batch of latent features to a non-quantized representation.

        Args:
            _ (torch.Tensor): Top latent feature layer.
            __ (torch.Tensor): Middle latent feature layer.
            b3 (torch.Tensor): Bottom latent feature layer.

        Returns:
            Decoded non-quantized representation.
        """
        up2 = self.up2(b3)
        db2 = self.db2(up2)

        up3 = self.up3(db2)
        db3 = self.db3(up3)

        return self.fin_out(db3)
Decode a batch of latent features to a non-quantized representation.

        Args:
            _ (torch.Tensor): Top latent feature layer.
            __ (torch.Tensor): Middle latent feature layer.
            b3 (torch.Tensor): Bottom latent feature layer.

        Returns:
            Decoded non-quantized representation.
        
src/anomalib/models/image/dsr/torch_model.py