forked from 626_privacy/tensorflow_privacy
6231d0802d
Moved query classes from dir optimizers into new dir dp_query. Added NormalizedQuery class for queries that divide the output of another query by a constant like GaussianAverageQuery. PiperOrigin-RevId: 240167115
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# Copyright 2019, The TensorFlow Authors.
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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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"""Tests for GaussianAverageQuery."""
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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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import tensorflow as tf
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from privacy.dp_query import gaussian_query
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from privacy.dp_query import normalized_query
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from privacy.dp_query import test_utils
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class NormalizedQueryTest(tf.test.TestCase):
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def test_normalization(self):
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with self.cached_session() as sess:
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record1 = tf.constant([-6.0, 8.0]) # Clipped to [-3.0, 4.0].
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record2 = tf.constant([4.0, -3.0]) # Not clipped.
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sum_query = gaussian_query.GaussianSumQuery(
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l2_norm_clip=5.0, stddev=0.0)
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query = normalized_query.NormalizedQuery(
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numerator_query=sum_query, denominator=2.0)
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query_result, _ = test_utils.run_query(query, [record1, record2])
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result = sess.run(query_result)
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expected = [0.5, 0.5]
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self.assertAllClose(result, expected)
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if __name__ == '__main__':
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tf.test.main()
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