code: def _get_example_iter(inputs):
      dataset = dataset_ops.Dataset.from_tensor_slices(inputs)
      return dataset_ops.make_one_shot_iterator(dataset)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training.experimental import loss_scale
label_desc: Use image node_id 2 for calling a global function with example usage: _get_example_iter(inputs) and returns: dataset_ops