The second part is the forward function
    def forward(self, images_in, meta_in):
        X = self.faster_rcnn.transform(images_in)
        X = self.faster_rcnn.backbone(X)
        Y = self.meta_model(meta_in)
        
        X = torch.cat(X, Y)
        
        ....
                
        return X