code: def MSCAN_L(**kwargs):
      return MSCAN(
          embed_dims=[64, 128, 320, 512],
          depths=[3, 5, 27, 3],
          drop_path_rate=0.3,
          **kwargs,
      )
  
imports: import math
  import numpy
  import paddle
  import paddle.nn
  from paddle.nn import Conv2D
  from paddle.nn.initializer import Assign, Normal
  from paddleseg.cvlibs import manager
  from paddleseg.models.backbones.transformer_utils import DropPath, ones_, to_2tuple, zeros_
  from paddleseg.models.layers import SyncBatchNorm
  from paddleseg.utils import utils
label_desc: Use image node_id 6 for calling a global function with example usage: MSCAN_L() and returns: MSCAN