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
118
119
120
121
|
/* 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.
==============================================================================*/
#include "tensorflow/core/lib/core/arena.h"
#include "tensorflow/core/platform/macros.h"
#include "tensorflow/core/platform/test.h"
namespace tensorflow {
namespace core {
namespace {
// Write random data to allocated memory
static void TestMemory(void* mem, int size) {
// Check that we can memset the entire memory
memset(mem, 0xaa, size);
// Do some memory allocation to check that the arena doesn't mess up
// the internal memory allocator
char* tmp[100];
for (size_t i = 0; i < TF_ARRAYSIZE(tmp); i++) {
tmp[i] = new char[i * i + 1];
}
memset(mem, 0xcc, size);
// Free up the allocated memory;
for (size_t i = 0; i < TF_ARRAYSIZE(tmp); i++) {
delete[] tmp[i];
}
// Check that we can memset the entire memory
memset(mem, 0xee, size);
}
TEST(ArenaTest, TestBasicArena) {
Arena a(1024);
char* memory = a.Alloc(100);
ASSERT_NE(memory, nullptr);
TestMemory(memory, 100);
// Allocate again
memory = a.Alloc(100);
ASSERT_NE(memory, nullptr);
TestMemory(memory, 100);
}
TEST(ArenaTest, TestAlignment) {
Arena a(1024);
char* byte0 = a.Alloc(1);
char* alloc_aligned8 = a.AllocAligned(17, 8);
EXPECT_EQ(alloc_aligned8 - byte0, 8);
char* alloc_aligned8_b = a.AllocAligned(8, 8);
EXPECT_EQ(alloc_aligned8_b - alloc_aligned8, 24);
char* alloc_aligned8_c = a.AllocAligned(16, 8);
EXPECT_EQ(alloc_aligned8_c - alloc_aligned8_b, 8);
char* alloc_aligned8_d = a.AllocAligned(8, 1);
EXPECT_EQ(alloc_aligned8_d - alloc_aligned8_c, 16);
}
TEST(ArenaTest, TestVariousArenaSizes) {
{
Arena a(1024);
// Allocate blocksize
char* memory = a.Alloc(1024);
ASSERT_NE(memory, nullptr);
TestMemory(memory, 1024);
// Allocate another blocksize
char* memory2 = a.Alloc(1024);
ASSERT_NE(memory2, nullptr);
TestMemory(memory2, 1024);
}
// Allocate an arena and allocate two blocks
// that together exceed a block size
{
Arena a(1024);
//
char* memory = a.Alloc(768);
ASSERT_NE(memory, nullptr);
TestMemory(memory, 768);
// Allocate another blocksize
char* memory2 = a.Alloc(768);
ASSERT_NE(memory2, nullptr);
TestMemory(memory2, 768);
}
// Allocate larger than a blocksize
{
Arena a(1024);
char* memory = a.Alloc(10240);
ASSERT_NE(memory, nullptr);
TestMemory(memory, 10240);
// Allocate another blocksize
char* memory2 = a.Alloc(1234);
ASSERT_NE(memory2, nullptr);
TestMemory(memory2, 1234);
}
}
} // namespace
} // namespace core
} // namespace tensorflow
|