forked from tensorflow/tensorflow
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy patharray_ops_test.py
More file actions
64 lines (48 loc) · 1.92 KB
/
array_ops_test.py
File metadata and controls
64 lines (48 loc) · 1.92 KB
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
# 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 array_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import tensorflow.python.platform
import numpy as np
from tensorflow.python.framework import test_util
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import googletest
class OperatorShapeTest(test_util.TensorFlowTestCase):
def testExpandScalar(self):
scalar = 'hello'
scalar_expanded = array_ops.expand_dims(scalar, [0])
self.assertEqual(scalar_expanded.get_shape(), (1,))
def testSqueeze(self):
scalar = 'hello'
scalar_squeezed = array_ops.squeeze(scalar, ())
self.assertEqual(scalar_squeezed.get_shape(), ())
class ReverseTest(test_util.TensorFlowTestCase):
def testReverse0DimAuto(self):
x_np = 4
for use_gpu in [False, True]:
with self.test_session(use_gpu=use_gpu):
x_tf = array_ops.reverse(x_np, []).eval()
self.assertAllEqual(x_tf, x_np)
def testReverse1DimAuto(self):
x_np = [1, 4, 9]
for use_gpu in [False, True]:
with self.test_session(use_gpu=use_gpu):
x_tf = array_ops.reverse(x_np, [True]).eval()
self.assertAllEqual(x_tf, np.asarray(x_np)[::-1])
if __name__ == '__main__':
googletest.main()