| # 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 topology.py.""" |
| |
| from tensorflow.python.platform import test |
| from tensorflow.python.tpu import topology |
| |
| |
| class TopologyTest(test.TestCase): |
| |
| def testSerialization(self): |
| """Tests if the class is able to generate serialized strings.""" |
| original_topology = topology.Topology( |
| mesh_shape=[1, 1, 1, 2], |
| device_coordinates=[[[0, 0, 0, 0], [0, 0, 0, 1]]], |
| ) |
| serialized_str = original_topology.serialized() |
| new_topology = topology.Topology(serialized=serialized_str) |
| |
| # Make sure the topology recovered from serialized str is same as the |
| # original topology. |
| self.assertAllEqual( |
| original_topology.mesh_shape, new_topology.mesh_shape) |
| self.assertAllEqual( |
| original_topology.device_coordinates, new_topology.device_coordinates) |
| |
| if __name__ == "__main__": |
| test.main() |