code: def forward(self, x):
      x = self.fc1(x)
      x = self.dwconv(x)
      x = self.act(x)
      x = self.drop(x)
      x = self.fc2(x)
      x = self.drop(x)
      return x
  
imports: from functools import partial
  from collections import defaultdict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import paddleseg
  from paddleseg import utils
  from paddleseg.models import layers
  from paddleseg.cvlibs import manager
  from paddleseg.models.backbones.transformer_utils import Identity, DropPath
  from ppmatting.models.layers import MLFF
  from ppmatting.models.losses import MRSD, GradientLoss
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x