code: def __init__(
      self,
      in_features,
      hidden_features=None,
      out_features=None,
      act_layer=nn.GELU,
      dw_act_layer=nn.GELU,
  ):
      super(MlpDWBN, self).__init__()
      out_features = out_features or in_features
      hidden_features = hidden_features or in_features
  
      self.act1 = act_layer()
      self.fc1 = layers.ConvBN(
          in_features, hidden_features, kernel_size=1
      )
      self.act2 = dw_act_layer()
      self.dw3x3 = layers.ConvBN(
          hidden_features,
          hidden_features,
          kernel_size=3,
          stride=1,
          groups=hidden_features,
          padding=1,
      )
  
      self.fc2 = layers.ConvBN(
          hidden_features, out_features, kernel_size=1
      )
      self.act3 = act_layer()
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
  from paddleseg.utils import utils, logger
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 1 to create a new MlpDWBN object from inherited base classes: nn with example: obj = MlpDWBN(in_features, hidden_features, out_features, act_layer, dw_act_layer)