Internal change.

PiperOrigin-RevId: 321742857
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A. Unique TensorFlower 2020-07-17 02:43:29 -07:00
parent a0e1b72838
commit 510dd207d5

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# Copyright 2020, The TensorFlow Authors.
#
# 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.
# Lint as: python3
"""Tests for tensorflow_privacy.privacy.membership_inference_attack.data_structures."""
from absl.testing import absltest
import numpy as np
from tensorflow_privacy.privacy.membership_inference_attack.data_structures import AttackInputData
class AttackInputDataTest(absltest.TestCase):
def test_get_loss(self):
attack_input = AttackInputData(
logits_train=np.array([[0.3, 0.5, 0.2], [0.2, 0.3, 0.5]]),
logits_test=np.array([[0.2, 0.3, 0.5], [0.3, 0.5, 0.2]]),
labels_train=np.array([1, 0]),
labels_test=np.array([0, 1])
)
np.testing.assert_almost_equal(
attack_input.get_loss_train().tolist(), [0.5, 0.2])
np.testing.assert_almost_equal(
attack_input.get_loss_test().tolist(), [0.2, 0.5])
if __name__ == '__main__':
absltest.main()