code: def forward(self, x):
      return self.lambd(x)
  
imports: import typing
  import torch
  import torch.nn.functional
  from nni.nas.pytorch import mutables
  from .None import register_nas_space
  from .base import BaseSpace
  from ...model import BaseAutoModel
  from ..utils import count_parameters, measure_latency
  from torch import nn
  from .operation import act_map, gnn_map
  from ..backend import *
label_desc: Use image node_id 2 for calling the LambdaModule obj's underlying member method code with example usage: obj.forward(x) and returns: self