wehub-resource-sync
110 lines
4.2 KiB
Python
110 lines
4.2 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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import os
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from absl.testing import parameterized
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from tensorflow.python.checkpoint import checkpoint as trackable_utils
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from tensorflow.python.checkpoint import checkpoint_options
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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_v1
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from tensorflow.python.ops import variables as variables_lib
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def async_checkpoint_test_helper(test_case, x):
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# First assign an initial value 123 and save it to checkpoint.
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test_case.evaluate(x.assign(123.0))
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checkpoint = trackable_utils.Checkpoint(x=x)
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ckpt_options = checkpoint_options.CheckpointOptions(
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experimental_enable_async_checkpoint=True)
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prefix = os.path.join(test_case.get_temp_dir(), "ckpt")
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save_path = checkpoint.save(prefix, options=ckpt_options)
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# Then we modify the value to 234, restore from checkpoint, and see that the
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# value goes back to 123.
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test_case.evaluate(x.assign(234.0))
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test_case.assertNotAllClose(123.0, x.read_value())
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checkpoint.restore(save_path).assert_consumed().run_restore_ops()
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test_case.assertEqual(test_case.evaluate(x), 123.0)
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# Another round of saving/restoring to ensure that the logic of
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# _copy_trackable_to_cpu works when a copy is already created in object_map.
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test_case.evaluate(x.assign(345.0))
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save_path = checkpoint.save(prefix, options=ckpt_options)
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test_case.evaluate(x.assign(456.0))
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test_case.assertNotAllClose(345.0, x.read_value())
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checkpoint.restore(save_path).assert_consumed().run_restore_ops()
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test_case.assertEqual(test_case.evaluate(x), 345.0)
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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_v1.VariableV1(
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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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def testAsyncCheckpointAggregatingVariable(self, distribution):
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with self.test_session():
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with distribution.scope():
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x = variables_lib.Variable(1.)
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self.assertIsInstance(x, ps_values.AggregatingVariable)
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self.evaluate(x.initializer)
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async_checkpoint_test_helper(self, x)
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def testAsyncCheckpointCachingVariable(self, distribution):
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del distribution
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with self.test_session():
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v = variables_lib.Variable(1.)
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x = ps_values.CachingVariable(v)
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self.assertIsInstance(x, ps_values.CachingVariable)
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self.evaluate(x.initializer)
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async_checkpoint_test_helper(self, x)
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if __name__ == "__main__":
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test.main()
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