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体验新版 GitCode,发现更多精彩内容 >>
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2ef331f2
编写于
4月 27, 2020
作者:
H
huzhiqiang
提交者:
GitHub
4月 27, 2020
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差异文件
[demo][x86] Add cxx_demo for x86 backend (#3482)
上级
b99986a3
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
196 addition
and
6 deletion
+196
-6
lite/CMakeLists.txt
lite/CMakeLists.txt
+12
-6
lite/demo/cxx/x86_mobilenetv1_full_demo/CMakeLists.txt
lite/demo/cxx/x86_mobilenetv1_full_demo/CMakeLists.txt
+21
-0
lite/demo/cxx/x86_mobilenetv1_full_demo/build.sh
lite/demo/cxx/x86_mobilenetv1_full_demo/build.sh
+6
-0
lite/demo/cxx/x86_mobilenetv1_full_demo/mobilenet_full_api.cc
.../demo/cxx/x86_mobilenetv1_full_demo/mobilenet_full_api.cc
+66
-0
lite/demo/cxx/x86_mobilenetv1_light_demo/CMakeLists.txt
lite/demo/cxx/x86_mobilenetv1_light_demo/CMakeLists.txt
+21
-0
lite/demo/cxx/x86_mobilenetv1_light_demo/build.sh
lite/demo/cxx/x86_mobilenetv1_light_demo/build.sh
+6
-0
lite/demo/cxx/x86_mobilenetv1_light_demo/mobilenet_light_api.cc
...emo/cxx/x86_mobilenetv1_light_demo/mobilenet_light_api.cc
+64
-0
未找到文件。
lite/CMakeLists.txt
浏览文件 @
2ef331f2
...
...
@@ -188,15 +188,17 @@ if (LITE_WITH_CUDA OR LITE_WITH_X86)
COMMAND cp
"
${
CMAKE_BINARY_DIR
}
/libpaddle_api_light_bundled.a"
"
${
INFER_LITE_PUBLISH_ROOT
}
/cxx/lib"
COMMAND cp
"
${
CMAKE_BINARY_DIR
}
/lite/api/*.so"
"
${
INFER_LITE_PUBLISH_ROOT
}
/cxx/lib"
)
add_custom_target
(
publish_inference_third_party
${
TARGET
}
COMMAND mkdir -p
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party"
COMMAND cp -r
"
${
CMAKE_BINARY_DIR
}
/third_party/install/*"
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party"
)
if
(
LITE_WITH_CUDA
)
add_custom_target
(
publish_inference_third_party
${
TARGET
}
COMMAND mkdir -p
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party"
COMMAND cp -r
"
${
CMAKE_BINARY_DIR
}
/third_party/install/*"
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party"
)
add_dependencies
(
publish_inference publish_inference_third_party
)
endif
()
add_dependencies
(
publish_inference_cxx_lib bundle_full_api
)
add_dependencies
(
publish_inference_cxx_lib bundle_light_api
)
add_dependencies
(
publish_inference_cxx_lib paddle_full_api_shared
)
add_dependencies
(
publish_inference_cxx_lib paddle_light_api_shared
)
add_dependencies
(
publish_inference publish_inference_cxx_lib
)
add_dependencies
(
publish_inference publish_inference_third_party
)
endif
()
endif
()
...
...
@@ -238,9 +240,13 @@ if (LITE_WITH_X86)
add_dependencies
(
publish_inference_x86_cxx_lib test_model_bin
)
add_custom_target
(
publish_inference_x86_cxx_demos
${
TARGET
}
COMMAND rm -rf
"
${
INFER_LITE_PUBLISH_ROOT
}
/demo/cxx"
COMMAND mkdir -p
"
${
INFER_LITE_PUBLISH_ROOT
}
/demo/cxx"
COMMAND cp -r
"
${
CMAKE_SOURCE_DIR
}
/lite/demo/cxx/x86_mobilenetv1_light_demo"
"
${
INFER_LITE_PUBLISH_ROOT
}
/demo/cxx/mobilenetv1_light"
COMMAND cp -r
"
${
CMAKE_SOURCE_DIR
}
/lite/demo/cxx/x86_mobilenetv1_full_demo"
"
${
INFER_LITE_PUBLISH_ROOT
}
/demo/cxx/mobilenetv1_full"
COMMAND mkdir -p
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party"
COMMAND cp -r
"
${
CMAKE_BINARY_DIR
}
/third_party/
eigen3"
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party
"
)
COMMAND cp -r
"
${
CMAKE_BINARY_DIR
}
/third_party/
install/mklml"
"
${
INFER_LITE_PUBLISH_ROOT
}
/third_party/
"
)
add_dependencies
(
publish_inference_x86_cxx_lib publish_inference_x86_cxx_demos
)
add_dependencies
(
publish_inference_x86_cxx_demos paddle_full_api_shared eigen3
)
add_dependencies
(
publish_inference publish_inference_x86_cxx_lib
)
...
...
lite/demo/cxx/x86_mobilenetv1_full_demo/CMakeLists.txt
0 → 100644
浏览文件 @
2ef331f2
cmake_minimum_required
(
VERSION 2.8
)
set
(
TARGET mobilenet_full_api
)
# 1. path to Paddle-Lite lib and mklml lib
set
(
LITE_DIR
"
${
PROJECT_SOURCE_DIR
}
/../../../cxx"
)
set
(
MKLML_DIR
"
${
PROJECT_SOURCE_DIR
}
/../../../third_party/mklml/"
)
# 2. link mklml and Paddle-Lite directory
link_directories
(
${
LITE_DIR
}
/lib
${
MKLML_DIR
}
/lib
)
include_directories
(
${
LITE_DIR
}
/include/
${
MKLML_DIR
}
/include
)
# 3. compile options
add_definitions
(
-std=c++11 -g -O3 -pthread
)
set
(
EXECUTABLE_OUTPUT_PATH
${
PROJECT_SOURCE_DIR
}
)
# 4.add executable output
add_executable
(
${
TARGET
}
${
TARGET
}
.cc
)
target_link_libraries
(
${
TARGET
}
-lpaddle_full_api_shared
)
target_link_libraries
(
${
TARGET
}
-lmklml_intel
)
target_link_libraries
(
${
TARGET
}
-ldl
)
lite/demo/cxx/x86_mobilenetv1_full_demo/build.sh
0 → 100644
浏览文件 @
2ef331f2
mkdir
./build
cd
./build
cmake ..
make
cd
..
rm
-rf
./build
lite/demo/cxx/x86_mobilenetv1_full_demo/mobilenet_full_api.cc
0 → 100644
浏览文件 @
2ef331f2
// Copyright (c) 2020 PaddlePaddle 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 <iostream>
#include <vector>
#include "paddle_api.h" // NOLINT
using
namespace
paddle
::
lite_api
;
// NOLINT
int64_t
ShapeProduction
(
const
shape_t
&
shape
)
{
int64_t
res
=
1
;
for
(
auto
i
:
shape
)
res
*=
i
;
return
res
;
}
void
RunModel
(
std
::
string
model_dir
)
{
// 1. Create CxxConfig
CxxConfig
config
;
config
.
set_model_dir
(
model_dir
);
config
.
set_valid_places
({
Place
{
TARGET
(
kX86
),
PRECISION
(
kFloat
)},
Place
{
TARGET
(
kHost
),
PRECISION
(
kFloat
)}});
// 2. Create PaddlePredictor by CxxConfig
std
::
shared_ptr
<
PaddlePredictor
>
predictor
=
CreatePaddlePredictor
<
CxxConfig
>
(
config
);
// 3. Prepare input data
std
::
unique_ptr
<
Tensor
>
input_tensor
(
std
::
move
(
predictor
->
GetInput
(
0
)));
input_tensor
->
Resize
({
1
,
3
,
224
,
224
});
auto
*
data
=
input_tensor
->
mutable_data
<
float
>
();
for
(
int
i
=
0
;
i
<
ShapeProduction
(
input_tensor
->
shape
());
++
i
)
{
data
[
i
]
=
1
;
}
// 4. Run predictor
predictor
->
Run
();
// 5. Get output
std
::
unique_ptr
<
const
Tensor
>
output_tensor
(
std
::
move
(
predictor
->
GetOutput
(
0
)));
std
::
cout
<<
"Output shape "
<<
output_tensor
->
shape
()[
1
]
<<
std
::
endl
;
for
(
int
i
=
0
;
i
<
ShapeProduction
(
output_tensor
->
shape
());
i
+=
100
)
{
std
::
cout
<<
"Output["
<<
i
<<
"]: "
<<
output_tensor
->
data
<
float
>
()[
i
]
<<
std
::
endl
;
}
}
int
main
(
int
argc
,
char
**
argv
)
{
if
(
argc
<
2
)
{
std
::
cerr
<<
"[ERROR] usage: ./"
<<
argv
[
0
]
<<
" naive_buffer_model_dir
\n
"
;
exit
(
1
);
}
std
::
string
model_dir
=
argv
[
1
];
RunModel
(
model_dir
);
return
0
;
}
lite/demo/cxx/x86_mobilenetv1_light_demo/CMakeLists.txt
0 → 100644
浏览文件 @
2ef331f2
cmake_minimum_required
(
VERSION 2.8
)
set
(
TARGET mobilenet_light_api
)
# 1. path to Paddle-Lite lib and mklml lib
set
(
LITE_DIR
"
${
PROJECT_SOURCE_DIR
}
/../../../cxx"
)
set
(
MKLML_DIR
"
${
PROJECT_SOURCE_DIR
}
/../../../third_party/mklml/"
)
# 2. link mklml and Paddle-Lite directory
link_directories
(
${
LITE_DIR
}
/lib
${
MKLML_DIR
}
/lib
)
include_directories
(
${
LITE_DIR
}
/include/
${
MKLML_DIR
}
/include
)
# 3. compile options
add_definitions
(
-std=c++11 -g -O3 -pthread
)
set
(
EXECUTABLE_OUTPUT_PATH
${
PROJECT_SOURCE_DIR
}
)
# 4.add executable output
add_executable
(
${
TARGET
}
${
TARGET
}
.cc
)
target_link_libraries
(
${
TARGET
}
-lpaddle_light_api_shared
)
target_link_libraries
(
${
TARGET
}
-lmklml_intel
)
target_link_libraries
(
${
TARGET
}
-ldl
)
lite/demo/cxx/x86_mobilenetv1_light_demo/build.sh
0 → 100644
浏览文件 @
2ef331f2
mkdir
./build
cd
./build
cmake ..
make
cd
..
rm
-rf
./build
lite/demo/cxx/x86_mobilenetv1_light_demo/mobilenet_light_api.cc
0 → 100644
浏览文件 @
2ef331f2
// Copyright (c) 2020 PaddlePaddle 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 <iostream>
#include <vector>
#include "paddle_api.h" // NOLINT
using
namespace
paddle
::
lite_api
;
// NOLINT
int64_t
ShapeProduction
(
const
shape_t
&
shape
)
{
int64_t
res
=
1
;
for
(
auto
i
:
shape
)
res
*=
i
;
return
res
;
}
void
RunModel
(
std
::
string
model_dir
)
{
// 1. Create MobileConfig
MobileConfig
config
;
config
.
set_model_dir
(
model_dir
);
// 2. Create PaddlePredictor by CxxConfig
std
::
shared_ptr
<
PaddlePredictor
>
predictor
=
CreatePaddlePredictor
<
MobileConfig
>
(
config
);
// 3. Prepare input data
std
::
unique_ptr
<
Tensor
>
input_tensor
(
std
::
move
(
predictor
->
GetInput
(
0
)));
input_tensor
->
Resize
({
1
,
3
,
224
,
224
});
auto
*
data
=
input_tensor
->
mutable_data
<
float
>
();
for
(
int
i
=
0
;
i
<
ShapeProduction
(
input_tensor
->
shape
());
++
i
)
{
data
[
i
]
=
1
;
}
// 4. Run predictor
predictor
->
Run
();
// 5. Get output
std
::
unique_ptr
<
const
Tensor
>
output_tensor
(
std
::
move
(
predictor
->
GetOutput
(
0
)));
std
::
cout
<<
"Output shape "
<<
output_tensor
->
shape
()[
1
]
<<
std
::
endl
;
for
(
int
i
=
0
;
i
<
ShapeProduction
(
output_tensor
->
shape
());
i
+=
100
)
{
std
::
cout
<<
"Output["
<<
i
<<
"]: "
<<
output_tensor
->
data
<
float
>
()[
i
]
<<
std
::
endl
;
}
}
int
main
(
int
argc
,
char
**
argv
)
{
if
(
argc
<
2
)
{
std
::
cerr
<<
"[ERROR] usage: ./"
<<
argv
[
0
]
<<
" naive_buffer_model_dir
\n
"
;
exit
(
1
);
}
std
::
string
model_dir
=
argv
[
1
];
RunModel
(
model_dir
);
return
0
;
}
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