code: def __init__(self):
      super(Mixed_4a, self).__init__()
  
      self.branch0 = nn.Sequential(
          BasicConv2d(160, 64, kernel_size=1, stride=1),
          BasicConv2d(64, 96, kernel_size=3, stride=1),
      )
  
      self.branch1 = nn.Sequential(
          BasicConv2d(160, 64, kernel_size=1, stride=1),
          BasicConv2d(
              64, 64, kernel_size=(1, 7), stride=1, padding=(0, 3)
          ),
          BasicConv2d(
              64, 64, kernel_size=(7, 1), stride=1, padding=(3, 0)
          ),
          BasicConv2d(64, 96, kernel_size=(3, 3), stride=1),
      )
  
imports: 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 Mixed_4a object from inherited base classes: nn with example: obj = Mixed_4a()