class_docstr: Stores and manipulate eval_metric tuples.
class_docstr_tok: ["Stores","and","manipulate","eval_metric","tuples","."]
docstr: Flattens the eval_metrics arguments to a list.
docstr_tok: ["Flattens","the","eval_metrics","arguments","to","a","list","."]
code: def flatten_args(self):
      """Flattens the eval_metrics arguments to a list."""
  
      from tensorflow.python.util import (
          nest,
      )  # pylint: disable=g-direct-tensorflow-import,g-import-not-at-top
  
      return nest.flatten(self._args)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import inspect
  from absl import logging
  from adanet import tf_compat
  import six
  import tensorflow.compat.v2
label_desc: Use image node_id 4 for calling the _EvalMetricsStore obj's underlying member method code with example usage: obj.flatten_args() and returns: nest