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
|
# 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 noise layers."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python import keras
from tensorflow.python.framework import test_util as tf_test_util
from tensorflow.python.keras import testing_utils
from tensorflow.python.platform import test
class NoiseLayersTest(test.TestCase):
def test_GaussianNoise(self):
with self.cached_session():
testing_utils.layer_test(
keras.layers.GaussianNoise,
kwargs={'stddev': 1.},
input_shape=(3, 2, 3))
def test_GaussianDropout(self):
with self.cached_session():
testing_utils.layer_test(
keras.layers.GaussianDropout,
kwargs={'rate': 0.5},
input_shape=(3, 2, 3))
@tf_test_util.run_in_graph_and_eager_modes
def test_AlphaDropout(self):
testing_utils.layer_test(
keras.layers.AlphaDropout,
kwargs={'rate': 0.2},
input_shape=(3, 2, 3))
if __name__ == '__main__':
test.main()
|
