code: def __init__(self):
      super(Inception_A, self).__init__()
      self.branch0 = BasicConv2d(384, 96, kernel_size=1, stride=1)
  
      self.branch1 = nn.Sequential(
          BasicConv2d(384, 64, kernel_size=1, stride=1),
          BasicConv2d(64, 96, kernel_size=3, stride=1, padding=1),
      )
  
      self.branch2 = nn.Sequential(
          BasicConv2d(384, 64, kernel_size=1, stride=1),
          BasicConv2d(64, 96, kernel_size=3, stride=1, padding=1),
          BasicConv2d(96, 96, kernel_size=3, stride=1, padding=1),
      )
  
      self.branch3 = nn.Sequential(
          nn.AvgPool2d(3, stride=1, padding=1, count_include_pad=False),
          BasicConv2d(384, 96, kernel_size=1, stride=1),
      )
  
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 Inception_A object from inherited base classes: nn with example: obj = Inception_A()