| # coding=utf-8 | |
| # Copyright 2021 The Deeplab2 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. | |
| """Tests for activations.py.""" | |
| import tensorflow as tf | |
| from deeplab2.model.layers import activations | |
| class ActivationsTest(tf.test.TestCase): | |
| def test_gelu(self): | |
| expected_data = [[0.14967535, 0., -0.10032465], | |
| [-0.15880796, -0.04540223, 2.9963627]] | |
| gelu_data = activations.gelu([[.25, 0, -.25], [-1, -2, 3]], | |
| approximate=True) | |
| self.assertAllClose(expected_data, gelu_data) | |
| gelu_data_via_get_activation = activations.get_activation( | |
| 'approximated_gelu')([[.25, 0, -.25], [-1, -2, 3]]) | |
| self.assertAllClose(expected_data, gelu_data_via_get_activation) | |
| if __name__ == '__main__': | |
| tf.test.main() | |