class_docstr: This module is used in the original FPN to generate a downsampled
  P6 feature from P5.
class_docstr_tok: ["This","module","is","used","in","the","original","FPN","to","generate","a","downsampled","P6","feature","from","P5","."]
code: def __init__(self):
      super().__init__()
      self.num_levels = 1
      self.in_feature = "p5"
  
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 1 to create a new LastLevelMaxPool object from inherited base classes: nn with example: obj = LastLevelMaxPool()