def forward(self, x):
        """
        Defines the forward pass for the SPConvTranspose2d module.

        Args:
            x (torch.Tensor): Input tensor of shape [batch_size, in_channels, height, width].

        Returns:
            torch.Tensor: Output tensor after transposed convolution operation.
        """
        x = self.pad1(x)  # Apply padding to input
        out = self.conv(x)  # Perform convolution operation
        batch_size, nchannels, H, W = out.shape  # Get output shape
        out = out.view((batch_size, self.r, nchannels // self.r, H, W))  # Reshape output for separation
        out = out.permute(0, 2, 3, 4, 1)  # Rearrange dimensions
        out = out.contiguous().view((batch_size, nchannels // self.r, H, -1))  # Final output shape
        return out  # Return the final output

        Defines the forward pass for the SPConvTranspose2d module.

        Args:
            x (torch.Tensor): Input tensor of shape [batch_size, in_channels, height, width].

        Returns:
            torch.Tensor: Output tensor after transposed convolution operation.
        
clearvoice/clearvoice/models/mossformer_gan_se/generator.py