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# Copyright 2023 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, | |
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
# See the License for the specific language governing permissions and | |
# limitations under the License. | |
"""Tests for configs.""" | |
import tensorflow as tf, tf_keras | |
from official.modeling.privacy import configs | |
class ConfigsTest(tf.test.TestCase): | |
def test_clipping_norm_default(self): | |
clipping_norm = configs.DifferentialPrivacyConfig().clipping_norm | |
self.assertEqual(100000000.0, clipping_norm) | |
def test_noise_multiplier_default(self): | |
noise_multiplier = configs.DifferentialPrivacyConfig().noise_multiplier | |
self.assertEqual(0.0, noise_multiplier) | |
def test_config(self): | |
dp_config = configs.DifferentialPrivacyConfig( | |
clipping_norm=1.0, | |
noise_multiplier=1.0, | |
) | |
self.assertEqual(1.0, dp_config.clipping_norm) | |
self.assertEqual(1.0, dp_config.noise_multiplier) | |
if __name__ == '__main__': | |
tf.test.main() | |