class_docstr: DWConv
class_docstr_tok: ["DWConv"]
code: def __init__(self, dim=768):
      super().__init__()
      self.dw_conv = nn.Conv2d(dim, dim, 3, 1, 1, bias=True, groups=dim)
  
imports: import torch
  from torch import nn
  from timm.models.layers import DropPath
  import numpy
  from towhee.models.wave_vit.wave_vit_utils import DWT2D, IDWT2D
  from towhee.models.utils.init_vit_weights import init_vit_weights
  from towhee.models.layers.mlp import Mlp
label_desc: Use image node_id 1 to create a new DWConv object from inherited base classes: nn with example: obj = DWConv(dim)