code: def forward(self, x):
      out = self.stage0(x)
      out = self.stage1(out)
      out = self.stage2(out)
      out = self.stage3(out)
      out = self.stage4(out)
      feature = self.gap(out)
      out = paddle.flatten(feature, start_axis=1)
      out = self.linear(out)
      return out, feature
  
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 5 for calling the RepVGG_B2G4 obj's underlying member method code with example usage: obj.forward(x) and returns: out,  feature