class_docstr: This module is used in RetinaNet to generate extra layers, P6 and P7 from
  C5 feature.
class_docstr_tok: ["This","module","is","used","in","RetinaNet","to","generate","extra","layers",",","P6","and","P7","from","C5","feature","."]
code: def forward(self, c5):
      p6 = self.p6(c5)
      p7 = self.p7(F.relu(p6))
      return [p6, p7]
  
imports: import math
  import fvcore.nn.weight_init
  import torch
  import torch.nn.functional
  from torch import nn
  from detectron2.layers import Conv2d, ShapeSpec, get_norm
  from .backbone import Backbone
  from .build import BACKBONE_REGISTRY
  from .resnet import build_resnet_backbone
label_desc: Use image node_id 2 for calling the LastLevelP6P7 obj's underlying member method code with example usage: obj.forward(c5) and returns: list