class_docstr: input 17*17*1152
  output 17*17*1152
class_docstr_tok: ["input","17","*","17","*","1152","output","17","*","17","*","1152"]
code: def __init__(self, scale=1.0):
      super(InceptionResB, self).__init__()
      self.relu = nn.ReLU(inplace=False)
      self.scale = scale
      self.branch_0 = BasicConv2d(1152, 192, kernel_size=1, stride=1)
      self.branch_1 = nn.Sequential(
          BasicConv2d(1152, 128, kernel_size=1, stride=1),
          BasicConv2d(
              128, 160, kernel_size=(1, 7), stride=1, padding=(0, 3)
          ),
          BasicConv2d(
              160, 192, kernel_size=(7, 1), stride=1, padding=(3, 0)
          ),
      )
      self.branch_all = BasicConv2d(384, 1152, kernel_size=1, stride=1)
  
imports: import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new InceptionResB object from inherited base classes: nn with example: obj = InceptionResB(scale)