code: def forward(self, x):
      x = self.relu(x)
      y = self.pad(x)
      out = torch.cat(
          [self.convs[0](x), self.convs[1](y[:, :, 1:, 1:])], dim=1
      )
      out = self.bn(out)
      return out
  
imports: from typing import Callable, Dict
  import torch
  import torch.nn
  from nni.nas.nn.pytorch import ModelSpace
  from .modules.nasbench201 import NasBench201Cell
label_desc: Use image node_id 2 for calling the FactorizedReduce obj's underlying member method code with example usage: obj.forward(x) and returns: out