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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() | |