63 lines
2.5 KiB
Python
63 lines
2.5 KiB
Python
# Copyright 2015 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 tensorflow.python.framework.random_seed."""
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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 context
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from tensorflow.python.framework import random_seed
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from tensorflow.python.framework import test_util
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from tensorflow.python.platform import test
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class RandomSeedTest(test.TestCase):
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@test_util.run_in_graph_and_eager_modes
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def testRandomSeed(self):
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test_cases = [
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# Each test case is a tuple with input to get_seed:
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# (input_graph_seed, input_op_seed)
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# and output from get_seed:
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# (output_graph_seed, output_op_seed)
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((None, None), (None, None)),
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((None, 1), (random_seed.DEFAULT_GRAPH_SEED, 1)),
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((1, 1), (1, 1)),
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((0, 0), (0, 2**31 - 1)), # Avoid nondeterministic (0, 0) output
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((2**31 - 1, 0), (0, 2**31 - 1)), # Don't wrap to (0, 0) either
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((0, 2**31 - 1), (0, 2**31 - 1)), # Wrapping for the other argument
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]
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if context.executing_eagerly():
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# operation seed is random number generated based on global seed.
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# it's not tested due to possibility of platform or version difference.
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pass
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else:
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# 0 will be the default_graph._lastid.
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test_cases.append(((1, None), (1, 0)))
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for tc in test_cases:
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tinput, toutput = tc[0], tc[1]
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random_seed.set_random_seed(tinput[0])
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g_seed, op_seed = random_seed.get_seed(tinput[1])
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msg = 'test_case = {0}, got {1}, want {2}'.format(tinput,
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(g_seed, op_seed),
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toutput)
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self.assertEqual((g_seed, op_seed), toutput, msg=msg)
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random_seed.set_random_seed(None)
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if __name__ == '__main__':
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test.main()
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