code: def forward(self, x, H, W):
      x_shape = paddle.shape(x)
      B, N = x_shape[0], x_shape[1]
      x = x.transpose([0, 2, 1]).reshape([B, self.dim, H, W])
      x = self.dwconv(x)
      x = x.flatten(2).transpose([0, 2, 1])
  
      return x
  
imports: import math
  from functools import partial
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import paddle.nn.initializer
  from paddleseg.cvlibs import manager
  from paddleseg.utils import utils
  from paddleseg.models.backbones.transformer_utils import *
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