class_docstr: DWConv
class_docstr_tok: ["DWConv"]
code: def forward(self, x, h, w):
      b, _, c = x.shape
      x = x.transpose(1, 2).view(b, c, h, w)
      x = self.dw_conv(x)
      x = x.flatten(2).transpose(1, 2)
      return x
  
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 2 for calling the DWConv obj's underlying member method code with example usage: obj.forward(x, h, w) and returns: x