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400f5e7c
编写于
5月 25, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add threads test
上级
ce20dfa2
变更
1
显示空白变更内容
内联
并排
Showing
1 changed file
with
67 addition
and
68 deletion
+67
-68
paddle/fluid/inference/tests/book/test_inference_nlp.cc
paddle/fluid/inference/tests/book/test_inference_nlp.cc
+67
-68
未找到文件。
paddle/fluid/inference/tests/book/test_inference_nlp.cc
浏览文件 @
400f5e7c
...
@@ -14,6 +14,7 @@ limitations under the License. */
...
@@ -14,6 +14,7 @@ limitations under the License. */
#include <sys/time.h>
#include <sys/time.h>
#include <time.h>
#include <time.h>
#include <thread> // NOLINT
#include "gflags/gflags.h"
#include "gflags/gflags.h"
#include "gtest/gtest.h"
#include "gtest/gtest.h"
#include "paddle/fluid/inference/tests/test_helper.h"
#include "paddle/fluid/inference/tests/test_helper.h"
...
@@ -31,7 +32,14 @@ TEST(inference, understand_sentiment) {
...
@@ -31,7 +32,14 @@ TEST(inference, understand_sentiment) {
LOG
(
INFO
)
<<
"FLAGS_dirname: "
<<
FLAGS_dirname
<<
std
::
endl
;
LOG
(
INFO
)
<<
"FLAGS_dirname: "
<<
FLAGS_dirname
<<
std
::
endl
;
std
::
string
dirname
=
FLAGS_dirname
;
std
::
string
dirname
=
FLAGS_dirname
;
const
bool
model_combined
=
false
;
int
total_work
=
100
;
int
num_threads
=
10
;
int
work_per_thread
=
total_work
/
num_threads
;
std
::
vector
<
std
::
unique_ptr
<
std
::
thread
>>
infer_threads
;
for
(
int
i
=
0
;
i
<
num_threads
;
++
i
)
{
infer_threads
.
emplace_back
(
new
std
::
thread
([
&
,
i
]()
{
for
(
int
j
=
0
;
j
<
work_per_thread
;
++
j
)
{
// 0. Call `paddle::framework::InitDevices()` initialize all the devices
// 0. Call `paddle::framework::InitDevices()` initialize all the devices
// In unittests, this is done in paddle/testing/paddle_gtest_main.cc
// In unittests, this is done in paddle/testing/paddle_gtest_main.cc
paddle
::
framework
::
LoDTensor
words
;
paddle
::
framework
::
LoDTensor
words
;
...
@@ -42,19 +50,21 @@ TEST(inference, understand_sentiment) {
...
@@ -42,19 +50,21 @@ TEST(inference, understand_sentiment) {
static_cast<int64_t>(word_dict_len - 1));
static_cast<int64_t>(word_dict_len - 1));
*/
*/
std
::
vector
<
int64_t
>
srcdata
{
std
::
vector
<
int64_t
>
srcdata
{
784
,
784
,
1550
,
6463
,
56
,
75693
,
6189
,
784
,
784
,
1550
,
784
,
784
,
1550
,
6463
,
56
,
75693
,
6189
,
784
,
784
,
198391
,
6463
,
42468
,
4376
,
10251
,
10760
,
6189
,
297
,
396
,
6463
,
1550
,
198391
,
6463
,
42468
,
4376
,
10251
,
10760
,
6189
,
297
,
6463
,
1550
,
198391
,
6463
,
22564
,
1612
,
291
,
68
,
164
,
784
,
396
,
6463
,
6463
,
1550
,
198391
,
6463
,
22564
,
1612
,
291
,
784
,
1550
,
198391
,
6463
,
13659
,
3362
,
42468
,
6189
,
2209
,
198391
,
68
,
164
,
784
,
784
,
1550
,
198391
,
6463
,
13659
,
3362
,
6463
,
2209
,
2209
,
198391
,
6463
,
2209
,
1062
,
3029
,
1831
,
3029
,
42468
,
6189
,
2209
,
198391
,
6463
,
2209
,
2209
,
198391
,
6463
,
1065
,
2281
,
100
,
11216
,
1110
,
56
,
10869
,
9811
,
100
,
198391
,
2209
,
1062
,
3029
,
1831
,
3029
,
1065
,
2281
,
100
,
11216
,
6463
,
100
,
9280
,
100
,
288
,
40031
,
1680
,
1335
,
100
,
1550
,
1110
,
56
,
10869
,
9811
,
100
,
198391
,
6463
,
100
,
9280
,
9280
,
7265
,
244
,
1550
,
198391
,
6463
,
1550
,
198391
,
6463
,
42468
,
100
,
288
,
40031
,
1680
,
1335
,
100
,
1550
,
9280
,
7265
,
4376
,
10251
,
10760
};
244
,
1550
,
198391
,
6463
,
1550
,
198391
,
6463
,
42468
,
4376
,
10251
,
10760
};
paddle
::
framework
::
LoD
lod
{{
0
,
srcdata
.
size
()}};
paddle
::
framework
::
LoD
lod
{{
0
,
srcdata
.
size
()}};
words
.
set_lod
(
lod
);
words
.
set_lod
(
lod
);
int64_t
*
pdata
=
words
.
mutable_data
<
int64_t
>
(
int64_t
*
pdata
=
words
.
mutable_data
<
int64_t
>
(
{
static_cast
<
int64_t
>
(
srcdata
.
size
()),
1
},
paddle
::
platform
::
CPUPlace
());
{
static_cast
<
int64_t
>
(
srcdata
.
size
()),
1
},
paddle
::
platform
::
CPUPlace
());
memcpy
(
pdata
,
srcdata
.
data
(),
words
.
numel
()
*
sizeof
(
int64_t
));
memcpy
(
pdata
,
srcdata
.
data
(),
words
.
numel
()
*
sizeof
(
int64_t
));
LOG
(
INFO
)
<<
"number of input size:"
<<
words
.
numel
();
LOG
(
INFO
)
<<
"number of input size:"
<<
words
.
numel
();
...
@@ -66,7 +76,6 @@ TEST(inference, understand_sentiment) {
...
@@ -66,7 +76,6 @@ TEST(inference, understand_sentiment) {
cpu_fetchs1
.
push_back
(
&
output1
);
cpu_fetchs1
.
push_back
(
&
output1
);
// Run inference on CPU
// Run inference on CPU
const
bool
model_combined
=
false
;
if
(
FLAGS_prepare_vars
)
{
if
(
FLAGS_prepare_vars
)
{
if
(
FLAGS_prepare_context
)
{
if
(
FLAGS_prepare_context
)
{
TestInference
<
paddle
::
platform
::
CPUPlace
,
false
,
true
>
(
TestInference
<
paddle
::
platform
::
CPUPlace
,
false
,
true
>
(
...
@@ -90,17 +99,7 @@ TEST(inference, understand_sentiment) {
...
@@ -90,17 +99,7 @@ TEST(inference, understand_sentiment) {
}
}
LOG
(
INFO
)
<<
output1
.
lod
();
LOG
(
INFO
)
<<
output1
.
lod
();
LOG
(
INFO
)
<<
output1
.
dims
();
LOG
(
INFO
)
<<
output1
.
dims
();
}
#ifdef PADDLE_WITH_CUDA
}));
paddle
::
framework
::
LoDTensor
output2
;
}
std
::
vector
<
paddle
::
framework
::
LoDTensor
*>
cpu_fetchs2
;
cpu_fetchs2
.
push_back
(
&
output2
);
// Run inference on CUDA GPU
TestInference
<
paddle
::
platform
::
CUDAPlace
>
(
dirname
,
cpu_feeds
,
cpu_fetchs2
);
LOG
(
INFO
)
<<
output2
.
lod
();
LOG
(
INFO
)
<<
output2
.
dims
();
CheckError
<
float
>
(
output1
,
output2
);
#endif
}
}
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