code: def __init__(self, input_channels):
      super().__init__()
  
      self.branch3x3 = BasicConv2d(
          input_channels, 384, kernel_size=3, stride=2
      )
  
      self.branch3x3stack = nn.Sequential(
          BasicConv2d(input_channels, 64, kernel_size=1),
          BasicConv2d(64, 96, kernel_size=3, padding=1),
          BasicConv2d(96, 96, kernel_size=3, stride=2),
      )
  
      self.branchpool = nn.MaxPool2d(kernel_size=3, stride=2)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new InceptionB object from inherited base classes: nn with example: obj = InceptionB(input_channels)