code: def __init__(self, num_classes=1000):
      super(InceptionResV2, self).__init__()
      self.stem = StemBlock()
      self.inception_resA5 = nn.Sequential(
          InceptionResA(),
          InceptionResA(),
          InceptionResA(),
          InceptionResA(),
          InceptionResA(),
      )
      self.reductionA = ReductionA()
      self.inception_resB10 = nn.Sequential(
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
          InceptionResB(),
      )
      self.reductionB = ReductionB()
      self.inception_resC5 = nn.Sequential(
          InceptionResC(),
          InceptionResC(),
          InceptionResC(),
          InceptionResC(),
          InceptionResC(),
      )
      self.avg_pool = nn.AvgPool2d(8, count_include_pad=False)
      self.dropout = nn.Dropout2d(p=0.8)
      self.last_linear = nn.Linear(2144, num_classes)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new InceptionResV2 object from inherited base classes: nn with example: obj = InceptionResV2(num_classes)