1 files changed, 0 insertions, 45 deletions
diff --git a/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py b/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py
deleted file mode 100644
index d403a575ec..0000000000
--- a/tensorflow/python/data/experimental/kernel_tests/random_dataset_test.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# 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 `tf.data.experimental.RandomDataset()`."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-from absl.testing import parameterized
-
-from tensorflow.python.data.experimental.ops import random_ops
-from tensorflow.python.data.kernel_tests import test_base
-from tensorflow.python.data.ops import dataset_ops
-from tensorflow.python.framework import errors
-
-
-class RandomDatasetTest(test_base.DatasetTestBase, parameterized.TestCase):
-
-  @parameterized.named_parameters(
-      ("NoSeed", None),
-      ("WithSeed", 42),
-  )
-  def testZipRandomDataset(self, seed):
-    dataset = random_ops.RandomDataset(seed=seed).take(30)
-    dataset = dataset_ops.Dataset.zip((dataset, dataset))
-    iterator = dataset.make_one_shot_iterator()
-    next_element = iterator.get_next()
-
-    with self.cached_session() as sess:
-      for _ in range(30):
-        x, y = sess.run(next_element)
-        self.assertEqual(x, y)
-      with self.assertRaises(errors.OutOfRangeError):
-        sess.run(next_element)