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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()
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