code: def MixVisionTransformer_B0(**kwargs):
      return MixVisionTransformer(
          patch_size=4,
          embed_dims=[32, 64, 160, 256],
          num_heads=[1, 2, 5, 8],
          mlp_ratios=[4, 4, 4, 4],
          qkv_bias=True,
          norm_layer=partial(nn.LayerNorm, epsilon=1e-6),
          depths=[2, 2, 2, 2],
          sr_ratios=[8, 4, 2, 1],
          drop_rate=0.0,
          drop_path_rate=0.1,
          **kwargs,
      )
  
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 1 for calling a global function with example usage: MixVisionTransformer_B0() and returns: MixVisionTransformer