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

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

        Returns:
            torch.Tensor: Output tensor after processing through the encoder.
        """
        x = self.conv_1(x)  # Process through the first convolutional layer
        x = self.dilated_dense(x)  # Process through the dilated dense network
        x = self.conv_2(x)  # Process through the second convolutional layer
        return x  # Return the final output

        Defines the forward pass for the DenseEncoder.

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

        Returns:
            torch.Tensor: Output tensor after processing through the encoder.
        
clearvoice/clearvoice/models/mossformer_gan_se/generator.py