code: def body(self, features):
      return revnet(features["inputs"], self.hparams)
  
imports: import functools
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling the Revnet obj's underlying member method code with example usage: obj.body(features) and returns: revnet