code: def __init__(self):
      super(Reduction_B, self).__init__()
  
      self.branch0 = nn.Sequential(
          BasicConv2d(1024, 192, kernel_size=1, stride=1),
          BasicConv2d(192, 192, kernel_size=3, stride=2),
      )
  
      self.branch1 = nn.Sequential(
          BasicConv2d(1024, 256, kernel_size=1, stride=1),
          BasicConv2d(
              256, 256, kernel_size=(1, 7), stride=1, padding=(0, 3)
          ),
          BasicConv2d(
              256, 320, kernel_size=(7, 1), stride=1, padding=(3, 0)
          ),
          BasicConv2d(320, 320, kernel_size=3, stride=2),
      )
  
      self.branch2 = nn.MaxPool2d(3, stride=2)
  
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 Reduction_B object from inherited base classes: nn with example: obj = Reduction_B()