class_docstr: input 8*8*2144
  output 8*8*2144
class_docstr_tok: ["input","8","*","8","*","2144","output","8","*","8","*","2144"]
code: def __init__(self, scale=1.0):
      super(InceptionResC, self).__init__()
      self.scale = scale
      self.relu = nn.ReLU(inplace=False)
      self.branch_0 = BasicConv2d(2144, 192, kernel_size=1, stride=1)
      self.branch_1 = nn.Sequential(
          BasicConv2d(2144, 192, kernel_size=1, stride=1),
          BasicConv2d(
              192, 224, kernel_size=(1, 3), stride=1, padding=(0, 1)
          ),
          BasicConv2d(
              224, 256, kernel_size=(3, 1), stride=1, padding=(1, 0)
          ),
      )
      self.branch_all = BasicConv2d(448, 2144, kernel_size=1, stride=1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new InceptionResC object from inherited base classes: nn with example: obj = InceptionResC(scale)