1# Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Tests for MirroredStrategy.""" 16 17from tensorflow.python.distribute import combinations 18from tensorflow.python.distribute import mirrored_strategy 19from tensorflow.python.distribute import multi_worker_test_base 20from tensorflow.python.distribute import strategy_test_lib 21from tensorflow.python.eager import context 22from tensorflow.python.eager import test 23 24 25def get_gpus(): 26 gpus = context.context().list_logical_devices("GPU") 27 actual_gpus = [] 28 for gpu in gpus: 29 if "job" in gpu.name: 30 actual_gpus.append(gpu.name) 31 return actual_gpus 32 33 34@combinations.generate( 35 combinations.combine( 36 distribution=[ 37 combinations.NamedDistribution( 38 "Mirrored", 39 # pylint: disable=g-long-lambda 40 lambda: mirrored_strategy.MirroredStrategy(get_gpus()), 41 required_gpus=1) 42 ], 43 mode=["eager"])) 44class RemoteSingleWorkerMirroredStrategyEager( 45 multi_worker_test_base.SingleWorkerTestBaseEager, 46 strategy_test_lib.RemoteSingleWorkerMirroredStrategyBase): 47 48 def _get_num_gpus(self): 49 return len(get_gpus()) 50 51 def testNumReplicasInSync(self, distribution): 52 self._testNumReplicasInSync(distribution) 53 54 def testMinimizeLoss(self, distribution): 55 self._testMinimizeLoss(distribution) 56 57 def testDeviceScope(self, distribution): 58 self._testDeviceScope(distribution) 59 60 def testMakeInputFnIteratorWithDataset(self, distribution): 61 self._testMakeInputFnIteratorWithDataset(distribution) 62 63 def testMakeInputFnIteratorWithCallable(self, distribution): 64 self._testMakeInputFnIteratorWithCallable(distribution) 65 66 67if __name__ == "__main__": 68 test.main() 69