code: def __init__(self, dim=768):
      super(DWConv, self).__init__()
      self.dwconv = nn.Conv2d(dim, dim, 3, 1, 1, bias=True, groups=dim)
  
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 1 to create a new DWConv object from inherited base classes: nn with example: obj = DWConv(dim)