code: def __init__(self, **kwargs):
      super().__init__(
          layers=EfficientFormer_depth["S1"],
          embed_dims=EfficientFormer_width["S1"],
          downsamples=[True, True, True, True],
          drop_path_rate=0.0,
          vit_num=2,
          e_ratios=expansion_ratios_S1,
          **kwargs,
      )
  
imports: import math
  import itertools
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 1 to create a new EfficientFormerv2_s1 object from inherited base classes: EfficientFormer with example: obj = EfficientFormerv2_s1()