code: def __init__(self, in_channels, num_classes):
      super().__init__()
      self.in_channels = in_channels
      self.num_classes = num_classes
      self.pooling = nn.Sequential(nn.ReLU(), nn.AvgPool2d(5, 3, 2))
      self.proj = nn.Sequential(
          StdConv(in_channels, 128), StdConv(128, 768)
      )
      self.avg_pool = nn.AdaptiveAvgPool2d(1)
      self.fc = nn.Linear(768, 10, bias=False)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from nni.nas.pytorch import mutables
  from ops import FactorizedReduce, StdConv, SepConvBN, Pool
label_desc: Use image node_id 1 to create a new AuxiliaryHead object from inherited base classes: nn with example: obj = AuxiliaryHead(in_channels, num_classes)