code: def forward(self, inputs):
      if not self.training:
          return self.nonlinearity(self.rbr_reparam(inputs))
  
      if self.rbr_identity is None:
          id_out = 0
      else:
          id_out = self.rbr_identity(inputs)
      return self.nonlinearity(
          self.rbr_dense(inputs) + self.rbr_1x1(inputs) + id_out
      )
  
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 2 for calling the RepVGGBlock obj's underlying member method code with example usage: obj.forward(inputs) and returns: self, self