code: def forward(self, x):
      h = x
      x = self.attn(x)
      x = self.drop_path(x)
      x = h + x
  
      h = x
      x = self.mlp(x)
      x = self.drop_path(x)
      x = x + h
      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 Block obj's underlying member method code with example usage: obj.forward(x) and returns: x