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体验新版 GitCode,发现更多精彩内容 >>
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b4fa3dbd
编写于
9月 05, 2018
作者:
L
luotao1
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
unify PrintTime of analysis unit-test
上级
f615ba2f
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
7 addition
and
31 deletion
+7
-31
paddle/fluid/inference/analysis/analyzer_lac_tester.cc
paddle/fluid/inference/analysis/analyzer_lac_tester.cc
+2
-8
paddle/fluid/inference/analysis/analyzer_ner_tester.cc
paddle/fluid/inference/analysis/analyzer_ner_tester.cc
+1
-5
paddle/fluid/inference/analysis/test_text_classification.cc
paddle/fluid/inference/analysis/test_text_classification.cc
+4
-18
未找到文件。
paddle/fluid/inference/analysis/analyzer_lac_tester.cc
浏览文件 @
b4fa3dbd
...
...
@@ -114,12 +114,6 @@ void GetOneBatch(std::vector<PaddleTensor> *input_slots, DataRecord *data,
PADDLE_ENFORCE_EQ
(
batch_size
,
static_cast
<
int
>
(
one_batch
.
lod
.
size
()
-
1
));
input_slots
->
assign
({
input_tensor
});
}
static
void
PrintTime
(
const
double
latency
,
const
int
bs
,
const
int
repeat
)
{
LOG
(
INFO
)
<<
"===========profile result==========="
;
LOG
(
INFO
)
<<
"batch_size: "
<<
bs
<<
", repeat: "
<<
repeat
<<
", avg latency: "
<<
latency
/
repeat
<<
"ms"
;
LOG
(
INFO
)
<<
"====================================="
;
}
void
BenchAllData
(
const
std
::
string
&
model_path
,
const
std
::
string
&
data_file
,
const
int
batch_size
,
const
int
repeat
)
{
NativeConfig
config
;
...
...
@@ -145,7 +139,7 @@ void BenchAllData(const std::string &model_path, const std::string &data_file,
sum
+=
timer
.
toc
();
}
}
PrintTime
(
sum
,
batch_size
,
repeat
);
PrintTime
(
batch_size
,
repeat
,
1
,
0
,
sum
/
repeat
);
}
const
int64_t
lac_ref_data
[]
=
{
24
,
25
,
25
,
25
,
38
,
30
,
31
,
14
,
15
,
44
,
24
,
25
,
25
,
25
,
25
,
25
,
44
,
24
,
25
,
25
,
25
,
36
,
42
,
43
,
...
...
@@ -176,7 +170,7 @@ void TestLACPrediction(const std::string &model_path,
for
(
int
i
=
0
;
i
<
repeat
;
i
++
)
{
predictor
->
Run
(
input_slots
,
&
outputs_slots
);
}
PrintTime
(
timer
.
toc
(),
batch_size
,
repeat
);
PrintTime
(
batch_size
,
repeat
,
1
,
0
,
timer
.
toc
()
/
repeat
);
EXPECT_EQ
(
outputs_slots
.
size
(),
1UL
);
auto
&
out
=
outputs_slots
[
0
];
size_t
size
=
std
::
accumulate
(
out
.
shape
.
begin
(),
out
.
shape
.
end
(),
1
,
...
...
paddle/fluid/inference/analysis/analyzer_ner_tester.cc
浏览文件 @
b4fa3dbd
...
...
@@ -130,11 +130,7 @@ void TestChineseNERPrediction() {
for
(
int
i
=
0
;
i
<
FLAGS_repeat
;
i
++
)
{
predictor
->
Run
(
input_slots
,
&
outputs
);
}
LOG
(
INFO
)
<<
"===========profile result==========="
;
LOG
(
INFO
)
<<
"batch_size: "
<<
FLAGS_batch_size
<<
", repeat: "
<<
FLAGS_repeat
<<
", latency: "
<<
timer
.
toc
()
/
FLAGS_repeat
<<
"ms"
;
LOG
(
INFO
)
<<
"====================================="
;
PrintTime
(
FLAGS_batch_size
,
FLAGS_repeat
,
1
,
0
,
timer
.
toc
()
/
FLAGS_repeat
);
PADDLE_ENFORCE
(
outputs
.
size
(),
1UL
);
auto
&
out
=
outputs
[
0
];
...
...
paddle/fluid/inference/analysis/test_text_classification.cc
浏览文件 @
b4fa3dbd
...
...
@@ -18,8 +18,8 @@
#include "paddle/fluid/framework/ir/pass.h"
#include "paddle/fluid/inference/analysis/analyzer.h"
#include "paddle/fluid/inference/analysis/ut_helper.h"
#include "paddle/fluid/inference/api/helper.h"
#include "paddle/fluid/inference/api/paddle_inference_api.h"
#include "paddle/fluid/inference/api/timer.h"
DEFINE_string
(
infer_model
,
""
,
"Directory of the inference model."
);
DEFINE_string
(
infer_data
,
""
,
"Path of the dataset."
);
...
...
@@ -27,22 +27,7 @@ DEFINE_int32(batch_size, 1, "batch size.");
DEFINE_int32
(
repeat
,
1
,
"How many times to repeat run."
);
namespace
paddle
{
template
<
typename
T
>
std
::
string
to_string
(
const
std
::
vector
<
T
>
&
vec
)
{
std
::
stringstream
ss
;
for
(
const
auto
&
c
:
vec
)
{
ss
<<
c
<<
" "
;
}
return
ss
.
str
();
}
void
PrintTime
(
const
double
latency
,
const
int
bs
,
const
int
repeat
)
{
LOG
(
INFO
)
<<
"===========profile result==========="
;
LOG
(
INFO
)
<<
"batch_size: "
<<
bs
<<
", repeat: "
<<
repeat
<<
", avg latency: "
<<
latency
/
repeat
<<
"ms"
;
LOG
(
INFO
)
<<
"====================================="
;
}
namespace
inference
{
void
Main
(
int
batch_size
)
{
// Three sequence inputs.
...
...
@@ -78,7 +63,7 @@ void Main(int batch_size) {
CHECK
(
predictor
->
Run
(
input_slots
,
&
output_slots
));
sum
+=
timer
.
toc
();
}
PrintTime
(
sum
,
batch_size
,
FLAGS_repeat
);
PrintTime
(
batch_size
,
FLAGS_repeat
,
1
,
0
,
sum
/
FLAGS_repeat
);
// Get output
LOG
(
INFO
)
<<
"get outputs "
<<
output_slots
.
size
();
...
...
@@ -99,6 +84,7 @@ void Main(int batch_size) {
TEST
(
text_classification
,
basic
)
{
Main
(
FLAGS_batch_size
);
}
}
// namespace inference
}
// namespace paddle
USE_PASS
(
fc_fuse_pass
);
...
...
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