code: def __init__(self, scale=1.0):
      super(Block35, self).__init__()
  
      self.scale = scale
  
      self.branch0 = BasicConv2d(320, 32, kernel_size=1, stride=1)
  
      self.branch1 = nn.Sequential(
          BasicConv2d(320, 32, kernel_size=1, stride=1),
          BasicConv2d(32, 32, kernel_size=3, stride=1, padding=1),
      )
  
      self.branch2 = nn.Sequential(
          BasicConv2d(320, 32, kernel_size=1, stride=1),
          BasicConv2d(32, 48, kernel_size=3, stride=1, padding=1),
          BasicConv2d(48, 64, kernel_size=3, stride=1, padding=1),
      )
  
      self.conv2d = nn.Conv2d(128, 320, kernel_size=1, stride=1)
      self.relu = nn.ReLU(inplace=False)
  
imports: import torch
  import torch.nn
  import torch.utils.model_zoo
label_desc: Use image node_id 1 to create a new Block35 object from inherited base classes: nn with example: obj = Block35(scale)