code: def __init__(self):
      super(Reduction_A, self).__init__()
      self.branch0 = BasicConv2d(384, 384, kernel_size=3, stride=2)
  
      self.branch1 = nn.Sequential(
          BasicConv2d(384, 192, kernel_size=1, stride=1),
          BasicConv2d(192, 224, kernel_size=3, stride=1, padding=1),
          BasicConv2d(224, 256, kernel_size=3, stride=2),
      )
  
      self.branch2 = nn.MaxPool2d(3, stride=2)
  
imports: from __future__ import print_function, division, absolute_import
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new Reduction_A object from inherited base classes: nn with example: obj = Reduction_A()