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
  from functools import partial
  from typing import Optional
  import torch
  import torch.nn
  from pytorch_toolbelt.modules.interfaces import AbstractEncoder, FeatureMapsSpecification
  from pytorch_toolbelt.modules.activations import instantiate_activation_block, ACT_GELU
  from pytorch_toolbelt.modules.drop_path import DropPath
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