code: def _dummy_export_outputs(export_output_key, logits, predictions):
      """Returns a dummy export output dictionary for the given key."""
  
      export_outputs = None
      if export_output_key == ExportOutputKeys.CLASSIFICATION_CLASSES:
          export_outputs = {
              export_output_key: tf.estimator.export.ClassificationOutput(
                  classes=tf.as_string(logits)
              )
          }
      elif export_output_key == ExportOutputKeys.CLASSIFICATION_SCORES:
          export_outputs = {
              export_output_key: tf.estimator.export.ClassificationOutput(
                  scores=logits
              )
          }
      elif export_output_key == ExportOutputKeys.REGRESSION:
          export_outputs = {
              export_output_key: tf.estimator.export.RegressionOutput(
                  value=logits
              )
          }
      elif export_output_key == ExportOutputKeys.PREDICTION:
          export_outputs = {
              export_output_key: tf.estimator.export.PredictOutput(
                  outputs=predictions
              )
          }
      elif export_output_key == ExportOutputKeys.INVALID:
          export_outputs = {export_output_key: predictions}
      return export_outputs
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import shutil
  import struct
  import sys
  from absl import flags
  from absl.testing import parameterized
  from adanet import ensemble
  from adanet import subnetwork
  from adanet import tf_compat
  from adanet.core.architecture import _Architecture
  from adanet.core.candidate import _Candidate
  from adanet.core.ensemble_builder import _EnsembleSpec
  from adanet.core.ensemble_builder import _SubnetworkSpec
  from adanet.core.eval_metrics import _EnsembleMetrics
  from adanet.core.eval_metrics import _IterationMetrics
  from adanet.core.eval_metrics import _SubnetworkMetrics
  import tensorflow.compat.v2
label_desc: Use image node_id 3 for calling a global function with example usage: _dummy_export_outputs(export_output_key, logits, predictions) and returns: export_outputs