code: def _tf_style_encode(encode_fn):
      """Method decorator for `tf_style(_adaptive)_encoding_stage`."""
  
      def actual_encode_fn(self, x, encode_params, name=None):
          """Modified `encode` method."""
          values = list(encode_params.values()) + [x]
          with tf.compat.v1.variable_scope(
              name, self.name + ENCODE_SCOPE_SUFFIX, values
          ):
              x = tf.convert_to_tensor(x)
              encode_params = tf.nest.map_structure(
                  tf.convert_to_tensor, encode_params
              )
              return encode_fn(self, x, encode_params, name=name)
  
      return actual_encode_fn
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import enum
  import six
  import tensorflow
label_desc: Use image node_id 7 for calling a global function with example usage: _tf_style_encode(encode_fn) and returns: actual_encode_fn, encode_fn