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体验新版 GitCode,发现更多精彩内容 >>
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eaeb76c4
编写于
6月 01, 2018
作者:
T
tensor-tang
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变更
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Showing
1 changed file
with
14 addition
and
11 deletion
+14
-11
paddle/fluid/inference/tests/book/test_inference_nlp.cc
paddle/fluid/inference/tests/book/test_inference_nlp.cc
+14
-11
未找到文件。
paddle/fluid/inference/tests/book/test_inference_nlp.cc
浏览文件 @
eaeb76c4
...
...
@@ -37,7 +37,8 @@ inline double GetCurrentMs() {
return
1e+3
*
time
.
tv_sec
+
1e-3
*
time
.
tv_usec
;
}
// return size of total words
// Load the input word index data from file and save into LodTensor.
// Return the size of words.
size_t
LoadData
(
std
::
vector
<
paddle
::
framework
::
LoDTensor
>*
out
,
const
std
::
string
&
filename
)
{
size_t
sz
=
0
;
...
...
@@ -67,6 +68,8 @@ size_t LoadData(std::vector<paddle::framework::LoDTensor>* out,
return
sz
;
}
// Split input data samples into small pieces jobs as balanced as possible,
// according to the number of threads.
void
SplitData
(
const
std
::
vector
<
paddle
::
framework
::
LoDTensor
>&
datasets
,
std
::
vector
<
std
::
vector
<
const
paddle
::
framework
::
LoDTensor
*>>*
jobs
,
...
...
@@ -116,7 +119,8 @@ void ThreadRunInfer(
for
(
size_t
i
=
0
;
i
<
inputs
.
size
();
++
i
)
{
feed_targets
[
feed_target_names
[
0
]]
=
inputs
[
i
];
executor
->
Run
(
*
copy_program
,
&
sub_scope
,
&
feed_targets
,
&
fetch_targets
,
true
,
true
,
feed_holder_name
,
fetch_holder_name
);
true
/*create_local_scope*/
,
true
/*create_vars*/
,
feed_holder_name
,
fetch_holder_name
);
}
auto
stop_ms
=
GetCurrentMs
();
scope
->
DeleteScope
(
&
sub_scope
);
...
...
@@ -143,12 +147,13 @@ TEST(inference, nlp) {
// 1. Define place, executor, scope
auto
place
=
paddle
::
platform
::
CPUPlace
();
auto
executor
=
paddle
::
framework
::
Executor
(
place
);
auto
*
scope
=
new
paddle
::
framework
::
Scope
();
std
::
unique_ptr
<
paddle
::
framework
::
Scope
>
scope
(
new
paddle
::
framework
::
Scope
());
// 2. Initialize the inference_program and load parameters
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
inference_program
;
inference_program
=
InitProgram
(
&
executor
,
scope
,
FLAGS_modelpath
,
model_combined
);
InitProgram
(
&
executor
,
scope
.
get
()
,
FLAGS_modelpath
,
model_combined
);
if
(
FLAGS_use_mkldnn
)
{
EnableMKLDNN
(
inference_program
);
}
...
...
@@ -166,9 +171,9 @@ TEST(inference, nlp) {
SplitData
(
datasets
,
&
jobs
,
FLAGS_num_threads
);
std
::
vector
<
std
::
unique_ptr
<
std
::
thread
>>
threads
;
for
(
int
i
=
0
;
i
<
FLAGS_num_threads
;
++
i
)
{
threads
.
emplace_back
(
new
std
::
thread
(
ThreadRunInfer
,
i
,
&
executor
,
scope
,
std
::
ref
(
inference_program
),
std
::
ref
(
jobs
)));
threads
.
emplace_back
(
new
std
::
thread
(
ThreadRunInfer
,
i
,
&
executor
,
scope
.
get
(
),
std
::
ref
(
inference_program
),
std
::
ref
(
jobs
)));
}
start_ms
=
GetCurrentMs
();
for
(
int
i
=
0
;
i
<
FLAGS_num_threads
;
++
i
)
{
...
...
@@ -177,7 +182,7 @@ TEST(inference, nlp) {
stop_ms
=
GetCurrentMs
();
}
else
{
if
(
FLAGS_prepare_vars
)
{
executor
.
CreateVariables
(
*
inference_program
,
scope
,
0
);
executor
.
CreateVariables
(
*
inference_program
,
scope
.
get
()
,
0
);
}
// always prepare context
std
::
unique_ptr
<
paddle
::
framework
::
ExecutorPrepareContext
>
ctx
;
...
...
@@ -201,7 +206,7 @@ TEST(inference, nlp) {
start_ms
=
GetCurrentMs
();
for
(
size_t
i
=
0
;
i
<
datasets
.
size
();
++
i
)
{
feed_targets
[
feed_target_names
[
0
]]
=
&
(
datasets
[
i
]);
executor
.
RunPreparedContext
(
ctx
.
get
(),
scope
,
&
feed_targets
,
executor
.
RunPreparedContext
(
ctx
.
get
(),
scope
.
get
()
,
&
feed_targets
,
&
fetch_targets
,
!
FLAGS_prepare_vars
);
}
stop_ms
=
GetCurrentMs
();
...
...
@@ -209,9 +214,7 @@ TEST(inference, nlp) {
<<
" samples, avg time per sample: "
<<
(
stop_ms
-
start_ms
)
/
datasets
.
size
()
<<
" ms"
;
}
LOG
(
INFO
)
<<
"Total inference time with "
<<
FLAGS_num_threads
<<
" threads : "
<<
(
stop_ms
-
start_ms
)
/
1000.0
<<
" sec, QPS: "
<<
datasets
.
size
()
/
((
stop_ms
-
start_ms
)
/
1000
);
delete
scope
;
}
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