def forward(self, features):
        """
        Args:
            features (list[Tensor]): list of feature maps
        """
        pred_objectness_logits = []
        pred_anchor_deltas = []
        for x in features:
            t = nn.functional.relu(self.conv(x))
            pred_objectness_logits.append(self.objectness_logits(t))
            pred_anchor_deltas.append(self.anchor_deltas(t))
        return pred_objectness_logits, pred_anchor_deltas

        Args:
            features (list[Tensor]): list of feature maps
        
dpkd/transformers/examples/research_projects/lxmert/modeling_frcnn.py