code: def sparse_int64():
      return sparse_tensor.SparseTensor(
          indices=[
              [0, 0],
              [1, 1],
              [2, 2],
              [3, 3],
              [4, 0],
              [5, 1],
              [6, 2],
              [7, 3],
          ],
          values=constant_op.constant(
              [1, 2, 3, 4, 5, 6, 7, 8], dtype=dtypes.int64
          ),
          dense_shape=[8, 4],
      )
  
file_path: tensorflow/tensorflow/python/ops/factory_ops_test.py
imports: from absl.testing import parameterized
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import mirrored_strategy
  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 sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling a global function with example usage: sparse_int64() and returns: sparse_tensor