code: def forward(self, x, H, W):
      x = self.fc1(x)
      x = self.dwconv(x, H, W)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      x = self.drop(x)
      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 3 for calling the Mlp obj's underlying member method code with example usage: obj.forward(x, H, W) and returns: x