code: def _make_indexed_slices(values, indices, dense_shape):
      tensor = indexed_slices.IndexedSlices(
          values=constant_op.constant(values),
          indices=constant_op.constant(indices),
          dense_shape=constant_op.constant(dense_shape),
      )
      return tensor
  
imports: from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import central_storage_strategy
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.collective_all_reduce_strategy import CollectiveAllReduceStrategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import indexed_slices
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 1 for calling a global function with example usage: _make_indexed_slices(values, indices, dense_shape) and returns: tensor