code: def forward(self, x):
      input_x = x
      x = self.dwconv(x)
  
      x = self.norm(x)
      x = self.pwconv1(x)
      x = self.act(x)
      x = self.pwconv2(x)
  
      if self.gamma is not None:
          x = self.gamma * self.drop_path(x)
      x = input_x + x
      return 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 Block obj's underlying member method code with example usage: obj.forward(x) and returns: x