code: def _regression_dataset_fn():
      return dataset_ops.Dataset.from_tensor_slices(
          {
              "labels": [1.0, 0.5, 1.0, 0.0],
              "predictions": [1.0, 0.75, 0.25, 0.0],
          }
      ).repeat()
  
imports: from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import strategy_test_lib
  from tensorflow.python.eager import test
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import metrics
  from tensorflow.python.ops import variables
label_desc: Use image node_id 4 for calling a global function with example usage: _regression_dataset_fn() and returns: dataset_ops