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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 the customized Relu activation.""" | |
| import tensorflow as tf, tf_keras | |
| from official.modeling import activations | |
| class CustomizedReluTest(tf.test.TestCase): | |
| def test_relu6(self): | |
| features = [[.25, 0, -.25], [-1, -2, 3]] | |
| customized_relu6_data = activations.relu6(features) | |
| relu6_data = tf.nn.relu6(features) | |
| self.assertAllClose(customized_relu6_data, relu6_data) | |
| if __name__ == '__main__': | |
| tf.test.main() | |