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# Copyright 2019 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 MirroredStrategy."""
from tensorflow.python.distribute import combinations
from tensorflow.python.distribute import mirrored_strategy
from tensorflow.python.distribute import multi_worker_test_base
from tensorflow.python.distribute import strategy_test_lib
from tensorflow.python.eager import context
from tensorflow.python.eager import test
def get_gpus():
gpus = context.context().list_logical_devices("GPU")
actual_gpus = []
for gpu in gpus:
if "job" in gpu.name:
actual_gpus.append(gpu.name)
return actual_gpus
@combinations.generate(
combinations.combine(
distribution=[
combinations.NamedDistribution(
"Mirrored",
# pylint: disable=g-long-lambda
lambda: mirrored_strategy.MirroredStrategy(get_gpus()),
required_gpus=1)
],
mode=["eager"]))
class RemoteSingleWorkerMirroredStrategyEager(
multi_worker_test_base.SingleWorkerTestBaseEager,
strategy_test_lib.RemoteSingleWorkerMirroredStrategyBase):
def _get_num_gpus(self):
return len(get_gpus())
def testNumReplicasInSync(self, distribution):
self._testNumReplicasInSync(distribution)
def testMinimizeLoss(self, distribution):
self._testMinimizeLoss(distribution)
def testDeviceScope(self, distribution):
self._testDeviceScope(distribution)
def testMakeInputFnIteratorWithDataset(self, distribution):
self._testMakeInputFnIteratorWithDataset(distribution)
def testMakeInputFnIteratorWithCallable(self, distribution):
self._testMakeInputFnIteratorWithCallable(distribution)
if __name__ == "__main__":
test.main()