code: def forward(self, inputs):
      basicblock = self.conv_a(inputs)
      basicblock = self.conv_b(basicblock)
  
      if self.downsample is not None:
          inputs = self.downsample(inputs)  # residual
      return inputs + basicblock
  
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 ResNetBasicblock obj's underlying member method code with example usage: obj.forward(inputs) and returns: unknown