# 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 Gaussian error linear unit.""" import tensorflow as tf, tf_keras from official.modeling import activations class GeluTest(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]]) self.assertAllClose(expected_data, gelu_data) if __name__ == '__main__': tf.test.main()