| # 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 ConcatenateDataset serialization.""" |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| import numpy as np |
| |
| from tensorflow.python.data.experimental.kernel_tests.serialization import dataset_serialization_test_base |
| from tensorflow.python.data.ops import dataset_ops |
| from tensorflow.python.platform import test |
| |
| |
| class ConcatenateDatasetSerializationTest( |
| dataset_serialization_test_base.DatasetSerializationTestBase): |
| |
| def _build_concatenate_dataset(self, var_array): |
| input_components = (np.tile(np.array([[1], [2], [3], [4]]), 20), |
| np.tile(np.array([[12], [13], [14], [15]]), 4)) |
| to_concatenate_components = (np.tile( |
| np.array([[5], [6], [7], [8], [9]]), 20), var_array) |
| |
| return dataset_ops.Dataset.from_tensor_slices(input_components).concatenate( |
| dataset_ops.Dataset.from_tensor_slices(to_concatenate_components)) |
| |
| def testConcatenateCore(self): |
| num_outputs = 9 |
| array = np.tile(np.array([[16], [17], [18], [19], [20]]), 15) |
| self.run_core_tests(lambda: self._build_concatenate_dataset(array), |
| num_outputs) |
| |
| |
| if __name__ == "__main__": |
| test.main() |