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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 roi_aligner.py.""" | |
# Import libraries | |
import tensorflow as tf, tf_keras | |
from official.vision.modeling.layers import roi_aligner | |
class MultilevelROIAlignerTest(tf.test.TestCase): | |
def test_serialize_deserialize(self): | |
kwargs = dict( | |
crop_size=7, | |
sample_offset=0.5, | |
) | |
aligner = roi_aligner.MultilevelROIAligner(**kwargs) | |
expected_config = dict(kwargs) | |
self.assertEqual(aligner.get_config(), expected_config) | |
new_aligner = roi_aligner.MultilevelROIAligner.from_config( | |
aligner.get_config()) | |
self.assertAllEqual(aligner.get_config(), new_aligner.get_config()) | |
if __name__ == '__main__': | |
tf.test.main() | |