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# Copyright 2015 Google Inc. 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 Softsign and SoftsignGrad."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow.python.platform
import numpy as np
import tensorflow as tf
class SoftsignTest(tf.test.TestCase):
def _npSoftsign(self, np_features):
return np_features / (1 + np.abs(np_features))
def _testSoftsign(self, np_features, use_gpu=False):
np_softsign = self._npSoftsign(np_features)
with self.test_session(use_gpu=use_gpu):
softsign = tf.nn.softsign(np_features)
tf_softsign = softsign.eval()
self.assertAllClose(np_softsign, tf_softsign)
self.assertShapeEqual(np_softsign, softsign)
def testNumbers(self):
for t in [np.float, np.double]:
self._testSoftsign(
np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t),
use_gpu=False)
self._testSoftsign(
np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(t),
use_gpu=True)
def testGradient(self):
with self.test_session():
x = tf.constant(
[-0.9, -0.7, -0.5, -0.3, -0.1, 0.1, 0.3, 0.5, 0.7, 0.9],
shape=[2, 5], name="x")
y = tf.nn.softsign(x, name="softsign")
x_init = np.asarray(
[[-0.9, -0.7, -0.5, -0.3, -0.1], [0.1, 0.3, 0.5, 0.7, 0.9]],
dtype=np.float32, order="F")
err = tf.test.compute_gradient_error(x,
[2, 5],
y,
[2, 5],
x_init_value=x_init)
print("softsign (float) gradient err = ", err)
self.assertLess(err, 1e-4)
if __name__ == "__main__":
tf.test.main()
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