code: def forward(self, x):
      if self.norm_first:
          return self.conv(self.norm(x))
      else:
          return self.norm(self.conv(x))
  
imports: import os
  import time
  import torch
  import torch.distributed
  import torch.multiprocessing
  import torch.nn
  from torch.distributed._tensor import DeviceMesh, distribute_module, distribute_tensor, Replicate, Shard
label_desc: Use image node_id 2 for calling the DownSampling obj's underlying member method code with example usage: obj.forward(x) and returns: self, self