code: def forward(self, x, H, W):
      B, N, C = x.shape
      x = x.transpose(1, 2).view(B, C, H, W)
      x = self.dwconv(x)
      x = x.flatten(2).transpose(1, 2)
  
      return x
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  from torch.nn.init import trunc_normal_
  from megatron.model.transformer import DropPath
  from megatron.model import LayerNorm
label_desc: Use image node_id 2 for calling the DWConv obj's underlying member method code with example usage: obj.forward(x, H, W) and returns: x