class_docstr: A object which creates evaluation metrics for Subnetworks.
class_docstr_tok: ["A","object","which","creates","evaluation","metrics","for","Subnetworks","."]
docstr: Returns the eval_metrics_ops.
docstr_tok: ["Returns","the","eval_metrics_ops","."]
code: def eval_metrics_ops(self):
      """Returns the eval_metrics_ops."""
  
      return _call_eval_metrics(self.eval_metrics_tuple())
  
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 5 for calling the _SubnetworkMetrics obj's underlying member method code with example usage: obj.eval_metrics_ops() and returns: _call_eval_metrics