code: def forward(self, x):
      if self.C_in == self.C_out:
          if self.stride == 1:
              return x.mul(0.0)
          else:
              return x[:, :, :: self.stride, :: self.stride].mul(0.0)
      else:
          shape = list(x.shape)
          shape[1] = self.C_out
          zeros = x.new_zeros(shape, dtype=x.dtype, device=x.device)
          return zeros
  
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 Zero obj's underlying member method code with example usage: obj.forward(x) and returns: zeros, x, x