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diff --git a/tensorflow/contrib/data/python/kernel_tests/reduce_dataset_test.py b/tensorflow/contrib/data/python/kernel_tests/reduce_dataset_test.py
new file mode 100644
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+++ b/tensorflow/contrib/data/python/kernel_tests/reduce_dataset_test.py
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+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Tests for the experimental input pipeline ops."""
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from absl.testing import parameterized
+import numpy as np
+
+from tensorflow.contrib.data.python.ops import get_single_element
+from tensorflow.contrib.data.python.ops import grouping
+from tensorflow.python.data.kernel_tests import test_base
+from tensorflow.python.data.ops import dataset_ops
+from tensorflow.python.framework import dtypes
+from tensorflow.python.ops import array_ops
+from tensorflow.python.platform import test
+
+
+class ReduceDatasetTest(test_base.DatasetTestBase, parameterized.TestCase):
+
+  @parameterized.named_parameters(
+      ("SumZero", 0),
+      ("SumOne", 1),
+      ("SumFive", 5),
+      ("SumTen", 10),
+  )
+  def testReduceDataset(self, stop):
+    def init_fn(_):
+      return np.int64(0)
+
+    def reduce_fn(state, value):
+      return state + value
+
+    def finalize_fn(state):
+      return state
+
+    sum_reducer = grouping.Reducer(init_fn, reduce_fn, finalize_fn)
+
+    stop_t = array_ops.placeholder(dtypes.int64, shape=[])
+    dataset = dataset_ops.Dataset.range(stop_t)
+    element = get_single_element.reduce_dataset(dataset, sum_reducer)
+
+    with self.cached_session() as sess:
+      value = sess.run(element, feed_dict={stop_t: stop})
+      self.assertEqual(stop * (stop - 1) / 2, value)
+
+
+if __name__ == "__main__":
+  test.main()