987046e078
This change is a step towards supporting user-driven cancellation for eager function calls. In a future change, I plan to add an experimental method for calling a `tf.function` and passing a `CancellationManager` argument, so that the caller can cancel execution asynchronously. PiperOrigin-RevId: 256369003
35 lines
1.1 KiB
Python
35 lines
1.1 KiB
Python
# Copyright 2019 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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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 tensorflow.python.eager import cancellation
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from tensorflow.python.platform import test
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class CancellationTest(test.TestCase):
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def testStartCancel(self):
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manager = cancellation.CancellationManager()
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self.assertFalse(manager.is_cancelled)
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manager.start_cancel()
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self.assertTrue(manager.is_cancelled)
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if __name__ == '__main__':
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test.main()
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