class_docstr: This module is used in RetinaNet to generate extra layers, P6 and P7.
code: def forward(
      self,
      p: List[Tensor],
      c: List[Tensor],
      names: List[str],
  ) -> Tuple[List[Tensor], List[str]]:
      p5, c5 = p[-1], c[-1]
      x = p5 if self.use_P5 else c5
      p6 = self.p6(x)
      p7 = self.p7(F.relu(p6))
      p.extend([p6, p7])
      names.extend(["p6", "p7"])
      return p, names
  
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 2 for calling the LastLevelP6P7 obj's underlying member method code with example usage: obj.forward(p, c, names) and returns: p,  names