def METHOD_NAME(self, x):
    """
    Forward pass function of the VGG model.
    Args:
        x (tensor): Input tensor of shape (batch_size, n_channels, height, width).
    Returns:
        tensor: Output tensor of shape (batch_size, n_classes).
    """
    out = self.features(x)
    out = self.classifier(out)
    if not self.final_convolution_layer is None:
        if self.final_convolution_layer == F.softmax:
            # Apply softmax activation to the output tensor if specified in the configuration
            out = self.final_convolution_layer(out, dim=1)
        else:
            # Apply whatever final layer specified in the configuration to the output tensor
            out = self.final_convolution_layer(out)
    return out