1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
|
# Copyright 2017 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.
# ==============================================================================
"""Sigmoid Tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from scipy import special
from tensorflow.contrib.distributions.python.ops.bijectors import bijector_test_util
from tensorflow.contrib.distributions.python.ops.bijectors import sigmoid
from tensorflow.python.platform import test
class SigmoidBijectorTest(test.TestCase):
"""Tests correctness of the Y = g(X) = (1 + exp(-X))^-1 transformation."""
def testBijector(self):
with self.test_session():
self.assertEqual("sigmoid", sigmoid.Sigmoid().name)
x = np.linspace(-10., 10., 100).reshape([2, 5, 10]).astype(np.float32)
y = special.expit(x)
ildj = -np.log(y) - np.log1p(-y)
self.assertAllClose(
y, sigmoid.Sigmoid().forward(x).eval(),
atol=0., rtol=1e-2)
self.assertAllClose(
x, sigmoid.Sigmoid().inverse(y).eval(),
atol=0., rtol=1e-4)
self.assertAllClose(
ildj, sigmoid.Sigmoid().inverse_log_det_jacobian(y).eval(),
atol=0., rtol=1e-6)
self.assertAllClose(
-ildj, sigmoid.Sigmoid().forward_log_det_jacobian(x).eval(),
atol=0., rtol=1e-4)
def testScalarCongruency(self):
with self.test_session():
bijector_test_util.assert_scalar_congruency(
sigmoid.Sigmoid(), lower_x=-7., upper_x=7.)
def testBijectiveAndFinite(self):
with self.test_session():
x = np.linspace(-7., 7., 100).astype(np.float32)
eps = 1e-3
y = np.linspace(eps, 1. - eps, 100).astype(np.float32)
bijector_test_util.assert_bijective_and_finite(
sigmoid.Sigmoid(), x, y, atol=0., rtol=1e-4)
if __name__ == "__main__":
test.main()
|
