code: def forward(self, x):
      feat = self.features(x)
      x = self.output(feat).squeeze(axis=-1).squeeze(axis=-1)
      return x, feat
  
imports: import os
  from math import ceil
  from typing import Union
  import paddle
  import paddle.nn
  import numpy
  import paddlehub.vision.transforms
  from paddle import ParamAttr
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
label_desc: Use image node_id 3 for calling the ReXNetV1 obj's underlying member method code with example usage: obj.forward(x) and returns: x,  feat