code: def forward(self, prev_layers):
      out_x, mask_x = self.cell_x(prev_layers)
      out_y, mask_y = self.cell_y(prev_layers)
      return out_x + out_y, mask_x | mask_y
  
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 2 for calling the Node obj's underlying member method code with example usage: obj.forward(prev_layers) and returns: unknown,  unknown