code: def reset_drop_path(self, drop_path_rate):
      dpr = [
          x.item()
          for x in paddle.linspace(0, drop_path_rate, sum(self.depths))
      ]
      cur = 0
      for i in range(self.depths[0]):
          self.block1[i].drop_path.drop_prob = dpr[cur + i]
  
      cur += self.depths[0]
      for i in range(self.depths[1]):
          self.block2[i].drop_path.drop_prob = dpr[cur + i]
  
      cur += self.depths[1]
      for i in range(self.depths[2]):
          self.block3[i].drop_path.drop_prob = dpr[cur + i]
  
      cur += self.depths[2]
      for i in range(self.depths[3]):
          self.block4[i].drop_path.drop_prob = dpr[cur + i]
  
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 4 for calling the MixVisionTransformer obj's underlying member method code with example usage: obj.reset_drop_path(drop_path_rate) without return types