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
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
|
# 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.
# ==============================================================================
"""Tests for Autograph lists."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.utils import tensor_list as tl
from tensorflow.python.client.session import Session
from tensorflow.python.eager import context
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework.constant_op import constant
from tensorflow.python.ops import list_ops
from tensorflow.python.ops import tensor_array_ops
from tensorflow.python.platform import test
class TensorListTest(test.TestCase):
def _shape(self, shape_tuple):
return constant(shape_tuple, dtypes.int32)
def test_dynamic_list_append(self):
l = []
l = tl.dynamic_list_append(l, 1)
self.assertListEqual(l, [1])
l = list_ops.empty_tensor_list(self._shape(()), dtypes.int32)
l = tl.dynamic_list_append(l, 1)
s = list_ops.tensor_list_stack(l, element_dtype=dtypes.int32)
with self.test_session() as sess:
self.assertAllEqual(sess.run(s), [1])
l = tensor_array_ops.TensorArray(dtypes.int32, size=0, dynamic_size=True)
l = tl.dynamic_list_append(l, 1)
s = l.stack()
with self.test_session() as sess:
self.assertAllEqual(sess.run(s), [1])
l = tl.TensorList(self._shape(()), dtypes.int32)
l = tl.dynamic_list_append(l, 1)
with self.test_session() as sess:
self.assertAllEqual(sess.run(l[0]), 1)
def test_list_append_python(self):
with context.eager_mode():
a = constant(3.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
self.assertEqual(l.count().numpy(), 1)
l.append(a)
self.assertEqual(l.count().numpy(), 2)
_ = l.pop()
self.assertEqual(l.count().numpy(), 1)
a2 = l.pop()
self.assertEqual(l.count().numpy(), 0)
self.assertEqual(a.numpy(), a2.numpy())
def test_list_index_python(self):
with context.eager_mode():
a = constant(3.0)
b = constant(2.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
self.assertEqual(l[0].numpy(), a.numpy())
l[0] = ops.convert_to_tensor(b)
self.assertEqual(l[0].numpy(), b.numpy())
def test_list_append_tf(self):
a = constant(3.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
c1 = l.count()
l.append(a)
c2 = l.count()
_ = l.pop()
c3 = l.count()
a2 = l.pop()
c4 = l.count()
with Session() as sess:
c1, c2, c3, c4, a, a2 = sess.run([c1, c2, c3, c4, a, a2])
self.assertEqual(c1, 1)
self.assertEqual(c2, 2)
self.assertEqual(c3, 1)
self.assertEqual(c4, 0)
self.assertEqual(a, a2)
def test_list_index_tf(self):
a = constant(3.0)
b = constant(2.0)
l = tl.TensorList(a.shape, a.dtype)
l.append(a)
l0 = l[0]
l[0] = b
l1 = l[0]
with self.test_session() as sess:
l0, l1, a, b = sess.run([l0, l1, a, b])
self.assertEqual(l0, a)
self.assertEqual(l1, b)
if __name__ == '__main__':
test.main()
|
