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# Copyright 2016 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 advanced activation layers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python import keras
from tensorflow.python.keras import testing_utils
from tensorflow.python.platform import test
class AdvancedActivationsTest(test.TestCase):
def test_leaky_relu(self):
with self.test_session():
for alpha in [0., .5, -1.]:
testing_utils.layer_test(keras.layers.LeakyReLU,
kwargs={'alpha': alpha},
input_shape=(2, 3, 4))
def test_prelu(self):
with self.test_session():
testing_utils.layer_test(keras.layers.PReLU, kwargs={},
input_shape=(2, 3, 4))
def test_prelu_share(self):
with self.test_session():
testing_utils.layer_test(keras.layers.PReLU,
kwargs={'shared_axes': 1},
input_shape=(2, 3, 4))
def test_elu(self):
with self.test_session():
for alpha in [0., .5, -1.]:
testing_utils.layer_test(keras.layers.ELU,
kwargs={'alpha': alpha},
input_shape=(2, 3, 4))
def test_thresholded_relu(self):
with self.test_session():
testing_utils.layer_test(keras.layers.ThresholdedReLU,
kwargs={'theta': 0.5},
input_shape=(2, 3, 4))
def test_softmax(self):
with self.test_session():
testing_utils.layer_test(keras.layers.Softmax,
kwargs={'axis': 1},
input_shape=(2, 3, 4))
def test_relu(self):
with self.test_session():
testing_utils.layer_test(keras.layers.ReLU,
kwargs={'max_value': 10},
input_shape=(2, 3, 4))
def test_relu_with_invalid_arg(self):
with self.assertRaisesRegexp(
ValueError, 'max_value of Relu layer cannot be negative value: -10'):
with self.test_session():
testing_utils.layer_test(keras.layers.ReLU,
kwargs={'max_value': -10},
input_shape=(2, 3, 4))
with self.assertRaisesRegexp(
ValueError,
'negative_slope of Relu layer cannot be negative value: -2'):
with self.test_session():
testing_utils.layer_test(
keras.layers.ReLU,
kwargs={'negative_slope': -2},
input_shape=(2, 3, 4))
if __name__ == '__main__':
test.main()
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