code: def __init__(
      self,
      num_input_features,
      num_output_features,
      norm_layer=nn.BatchNorm2d,
  ):
      super(_Transition, self).__init__()
      self.add_module("norm", norm_layer(num_input_features))
      self.add_module("relu", nn.ReLU(True))
      self.add_module(
          "conv",
          nn.Conv2d(
              num_input_features, num_output_features, 1, 1, bias=False
          ),
      )
      self.add_module("pool", nn.AvgPool2d(2, 2))
  
imports: import re
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new _Transition object from inherited base classes: nn with example: obj = _Transition(num_input_features, num_output_features, norm_layer)