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# Copyright 2019 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."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
from tensorflow.python.keras import keras_parameterized # pylint: disable=g-direct-tensorflow-import
from official.modeling import activations
@keras_parameterized.run_all_keras_modes
class GeluTest(keras_parameterized.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()
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