class_docstr: Stores and manipulate eval_metric tuples.
class_docstr_tok: ["Stores","and","manipulate","eval_metric","tuples","."]
docstr: Adds an eval_metrics tuple to the internal store.
docstr_tok: ["Adds","an","eval_metrics","tuple","to","the","internal","store","."]
code: def add_eval_metrics(self, metric_fn, args):
      """Adds an eval_metrics tuple to the internal store."""
  
      self._metric_fns.append(metric_fn)
      self._args.append(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 2 for calling the _EvalMetricsStore obj's underlying member method code with example usage: obj.add_eval_metrics(metric_fn, args) without return types