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
67
68
69
70
71
72
|
# Copyright 2015 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 IdentityOp."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import gen_array_ops
from tensorflow.python.ops import variables
from tensorflow.python.platform import test
class IdentityOpTest(test.TestCase):
def testInt32_6(self):
with self.cached_session():
value = array_ops.identity([1, 2, 3, 4, 5, 6]).eval()
self.assertAllEqual(np.array([1, 2, 3, 4, 5, 6]), value)
def testInt32_2_3(self):
with self.cached_session():
inp = constant_op.constant([10, 20, 30, 40, 50, 60], shape=[2, 3])
value = array_ops.identity(inp).eval()
self.assertAllEqual(np.array([[10, 20, 30], [40, 50, 60]]), value)
def testString(self):
source = [b"A", b"b", b"C", b"d", b"E", b"f"]
with self.cached_session():
value = array_ops.identity(source).eval()
self.assertAllEqual(source, value)
def testIdentityShape(self):
with self.cached_session():
shape = [2, 3]
array_2x3 = [[1, 2, 3], [6, 5, 4]]
tensor = constant_op.constant(array_2x3)
self.assertEquals(shape, tensor.get_shape())
self.assertEquals(shape, array_ops.identity(tensor).get_shape())
self.assertEquals(shape, array_ops.identity(array_2x3).get_shape())
self.assertEquals(shape,
array_ops.identity(np.array(array_2x3)).get_shape())
def testRefIdentityShape(self):
with self.cached_session():
shape = [2, 3]
tensor = variables.VariableV1(
constant_op.constant(
[[1, 2, 3], [6, 5, 4]], dtype=dtypes.int32))
self.assertEquals(shape, tensor.get_shape())
self.assertEquals(shape, gen_array_ops.ref_identity(tensor).get_shape())
if __name__ == "__main__":
test.main()
|
