66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for the distributed values library."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from absl.testing import parameterized
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from tensorflow.python.distribute import combinations
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from tensorflow.python.distribute import ps_values
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from tensorflow.python.distribute import strategy_combinations
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from tensorflow.python.eager import def_function
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from tensorflow.python.eager import test
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from tensorflow.python.ops import variable_scope
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from tensorflow.python.ops import variables as variables_lib
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@combinations.generate(
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combinations.combine(
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distribution=[
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strategy_combinations.central_storage_strategy_with_two_gpus
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],
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mode=["graph", "eager"]))
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class AggregatingVariableTest(test.TestCase, parameterized.TestCase):
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def testAssignOutOfScope(self, distribution):
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with distribution.scope():
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aggregating = variables_lib.Variable(1.)
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self.assertIsInstance(aggregating, ps_values.AggregatingVariable)
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self.evaluate(aggregating.assign(3.))
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self.assertEqual(self.evaluate(aggregating.read_value()), 3.)
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self.assertEqual(self.evaluate(aggregating._v.read_value()), 3.)
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def testAssignAdd(self, distribution):
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with distribution.scope():
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v = variable_scope.variable(
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1, aggregation=variables_lib.VariableAggregation.MEAN)
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self.evaluate(variables_lib.global_variables_initializer())
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@def_function.function
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def assign():
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return v.assign_add(2)
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per_replica_results = self.evaluate(
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distribution.experimental_local_results(
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distribution.run(assign)))
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self.assertAllEqual([3], per_replica_results)
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if __name__ == "__main__":
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test.main()
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