code: def __init__(self, in_planes, out_planes):
      super(Transition, self).__init__()
      self.bn = nn.BatchNorm2d(in_planes)
      self.conv = nn.Conv2d(
          in_planes, out_planes, kernel_size=1, bias=False
      )
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from ..tools.custom_modules import FakeReLU
label_desc: Use image node_id 1 to create a new Transition object from inherited base classes: nn with example: obj = Transition(in_planes, out_planes)