| # Copyright 2018 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 tensorflow.contrib.data.python.ops import optimization |
| from tensorflow.python.data.ops import dataset_ops |
| from tensorflow.python.framework import errors |
| from tensorflow.python.platform import test |
| |
| |
| class AssertNextDatasetTest(test.TestCase): |
| |
| def testAssertNext(self): |
| dataset = dataset_ops.Dataset.from_tensors(0).apply( |
| optimization.assert_next(["Map"])).map(lambda x: x) |
| iterator = dataset.make_one_shot_iterator() |
| get_next = iterator.get_next() |
| |
| with self.cached_session() as sess: |
| self.assertEqual(0, sess.run(get_next)) |
| |
| def testAssertNextInvalid(self): |
| dataset = dataset_ops.Dataset.from_tensors(0).apply( |
| optimization.assert_next(["Whoops"])).map(lambda x: x) |
| iterator = dataset.make_one_shot_iterator() |
| get_next = iterator.get_next() |
| |
| with self.cached_session() as sess: |
| with self.assertRaisesRegexp( |
| errors.InvalidArgumentError, |
| "Asserted Whoops transformation at offset 0 but encountered " |
| "Map transformation instead."): |
| sess.run(get_next) |
| |
| def testAssertNextShort(self): |
| dataset = dataset_ops.Dataset.from_tensors(0).apply( |
| optimization.assert_next(["Map", "Whoops"])).map(lambda x: x) |
| iterator = dataset.make_one_shot_iterator() |
| get_next = iterator.get_next() |
| |
| with self.cached_session() as sess: |
| with self.assertRaisesRegexp( |
| errors.InvalidArgumentError, |
| "Asserted next 2 transformations but encountered only 1."): |
| sess.run(get_next) |
| |
| |
| if __name__ == "__main__": |
| test.main() |