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体验新版 GitCode,发现更多精彩内容 >>
提交
2f9a5a2e
编写于
11月 06, 2018
作者:
T
Tao Luo
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
add analyzer_face_tester
上级
8ac2242b
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
33 addition
and
23 deletion
+33
-23
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
+1
-19
paddle/fluid/inference/tests/api/tester_helper.h
paddle/fluid/inference/tests/api/tester_helper.h
+30
-0
paddle/fluid/inference/tests/test_helper.h
paddle/fluid/inference/tests/test_helper.h
+2
-4
未找到文件。
paddle/fluid/inference/tests/api/analyzer_resnet50_tester.cc
浏览文件 @
2f9a5a2e
...
...
@@ -30,25 +30,7 @@ void SetConfig(AnalysisConfig *cfg) {
}
void
SetInput
(
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
*
inputs
)
{
PADDLE_ENFORCE_EQ
(
FLAGS_test_all_data
,
0
,
"Only have single batch of data."
);
PaddleTensor
input
;
// channel=3, height/width=318
std
::
vector
<
int
>
shape
({
FLAGS_batch_size
,
3
,
318
,
318
});
input
.
shape
=
shape
;
input
.
dtype
=
PaddleDType
::
FLOAT32
;
// fill input data, for profile easily, do not use random data here.
size_t
size
=
FLAGS_batch_size
*
3
*
318
*
318
;
input
.
data
.
Resize
(
size
*
sizeof
(
float
));
float
*
input_data
=
static_cast
<
float
*>
(
input
.
data
.
data
());
for
(
size_t
i
=
0
;
i
<
size
;
i
++
)
{
*
(
input_data
+
i
)
=
static_cast
<
float
>
(
i
)
/
size
;
}
std
::
vector
<
PaddleTensor
>
input_slots
;
input_slots
.
assign
({
input
});
(
*
inputs
).
emplace_back
(
input_slots
);
SetFakeImageInput
(
inputs
,
FLAGS_infer_model
);
}
// Easy for profiling independently.
...
...
paddle/fluid/inference/tests/api/tester_helper.h
浏览文件 @
2f9a5a2e
...
...
@@ -25,6 +25,7 @@
#include "paddle/fluid/inference/api/analysis_predictor.h"
#include "paddle/fluid/inference/api/helper.h"
#include "paddle/fluid/inference/api/paddle_inference_pass.h"
#include "paddle/fluid/inference/tests/test_helper.h"
#include "paddle/fluid/platform/profiler.h"
DEFINE_string
(
infer_model
,
""
,
"model path"
);
...
...
@@ -105,6 +106,35 @@ std::unordered_map<std::string, int> GetFuseStatis(PaddlePredictor *predictor,
return
fuse_statis
;
}
void
SetFakeImageInput
(
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
*
inputs
,
const
std
::
string
&
dirname
,
const
bool
is_combined
=
true
)
{
// Set fake_image_data
PADDLE_ENFORCE_EQ
(
FLAGS_test_all_data
,
0
,
"Only have single batch of data."
);
std
::
vector
<
std
::
vector
<
int64_t
>>
feed_target_shapes
=
GetFeedTargetShapes
(
dirname
,
is_combined
);
int
dim1
=
feed_target_shapes
[
0
][
1
];
int
dim2
=
feed_target_shapes
[
0
][
2
];
int
dim3
=
feed_target_shapes
[
0
][
3
];
PaddleTensor
input
;
std
::
vector
<
int
>
shape
({
FLAGS_batch_size
,
dim1
,
dim2
,
dim3
});
input
.
shape
=
shape
;
input
.
dtype
=
PaddleDType
::
FLOAT32
;
// fill input data, for profile easily, do not use random data here.
size_t
size
=
FLAGS_batch_size
*
dim1
*
dim2
*
dim3
;
input
.
data
.
Resize
(
size
*
sizeof
(
float
));
float
*
input_data
=
static_cast
<
float
*>
(
input
.
data
.
data
());
for
(
size_t
i
=
0
;
i
<
size
;
i
++
)
{
*
(
input_data
+
i
)
=
static_cast
<
float
>
(
i
)
/
size
;
}
std
::
vector
<
PaddleTensor
>
input_slots
;
input_slots
.
assign
({
input
});
(
*
inputs
).
emplace_back
(
input_slots
);
}
void
TestOneThreadPrediction
(
const
AnalysisConfig
&
config
,
const
std
::
vector
<
std
::
vector
<
PaddleTensor
>>
&
inputs
,
...
...
paddle/fluid/inference/tests/test_helper.h
浏览文件 @
2f9a5a2e
...
...
@@ -101,8 +101,8 @@ std::unique_ptr<paddle::framework::ProgramDesc> InitProgram(
// Hard-coding the file names of program and parameters in unittest.
// The file names should be consistent with that used in Python API
// `fluid.io.save_inference_model`.
std
::
string
prog_filename
=
"
__model_combined__
"
;
std
::
string
param_filename
=
"
__params_combined__
"
;
std
::
string
prog_filename
=
"
model
"
;
std
::
string
param_filename
=
"
params
"
;
inference_program
=
paddle
::
inference
::
Load
(
executor
,
scope
,
dirname
+
"/"
+
prog_filename
,
dirname
+
"/"
+
param_filename
);
...
...
@@ -261,5 +261,3 @@ void TestInference(const std::string& dirname,
delete
scope
;
}
USE_PASS
(
graph_to_program_pass
);
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