code: def __init__(self, cell_name, prev_labels, channels):
      super().__init__()
      self.input_choice = mutables.InputChoice(
          choose_from=prev_labels,
          n_chosen=1,
          return_mask=True,
          key=cell_name + "_input",
      )
      self.op_choice = mutables.LayerChoice(
          [
              SepConvBN(channels, channels, 3, 1),
              SepConvBN(channels, channels, 5, 2),
              Pool("avg", 3, 1, 1),
              Pool("max", 3, 1, 1),
              nn.Identity(),
          ],
          key=cell_name + "_op",
      )
  
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 Cell object from inherited base classes: nn with example: obj = Cell(cell_name, prev_labels, channels)