code: def __init__(self, in_channels_pp, in_channels_p, out_channels):
      super().__init__()
      self.reduce0 = FactorizedReduce(
          in_channels_pp, out_channels, affine=False
      )
      self.reduce1 = FactorizedReduce(
          in_channels_p, out_channels, affine=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 ReductionLayer object from inherited base classes: nn with example: obj = ReductionLayer(in_channels_pp, in_channels_p, out_channels)