code: def get_equivalent_kernel_bias(self):
      kernel3x3, bias3x3 = self._fuse_bn_tensor(self.rbr_dense)
      kernel1x1, bias1x1 = self._fuse_bn_tensor(self.rbr_1x1)
      kernelid, biasid = self._fuse_bn_tensor(self.rbr_identity)
      return (
          kernel3x3 + self._pad_1x1_to_3x3_tensor(kernel1x1) + kernelid,
          bias3x3 + bias1x1 + biasid,
      )
  
imports: import os
  from typing import Union
  import paddle
  import paddle.nn
  import paddlehub.vision.transforms
  import numpy
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
label_desc: Use image node_id 4 for calling the RepVGGBlock obj's underlying member method code with example usage: obj.get_equivalent_kernel_bias() and returns: unknown,  unknown