class_docstr: Base class for the extra block in the FPN.
  
  Args:
      results (List[Tensor]): the result of the FPN
      x (List[Tensor]): the original feature maps
      names (List[str]): the names for each one of the
          original feature maps
  
  Returns:
      results (List[Tensor]): the extended set of results
          of the FPN
      names (List[str]): the extended set of names for the results
code: def forward(
      self,
      results: List[Tensor],
      x: List[Tensor],
      names: List[str],
  ) -> Tuple[List[Tensor], List[str]]:
      pass
  
imports: from collections import OrderedDict
  from typing import Callable, Dict, List, Optional, Tuple
  import torch.nn.functional
  from torch import nn, Tensor
  from ..ops.misc import Conv2dNormActivation
  from ..utils import _log_api_usage_once
label_desc: Use image node_id 1 for calling the ExtraFPNBlock obj's underlying member method code with example usage: obj.forward(results, x, names) without return types