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体验新版 GitCode,发现更多精彩内容 >>
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be26b71b
编写于
5月 22, 2018
作者:
Q
Qiao Longfei
提交者:
GitHub
5月 22, 2018
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差异文件
Add cpp trainer lib and demo (#10681)
add cpp trainer lib and demo
上级
f6543a11
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
282 addition
and
0 deletion
+282
-0
paddle/fluid/train/demo/CMakeLists.txt
paddle/fluid/train/demo/CMakeLists.txt
+66
-0
paddle/fluid/train/demo/README.md
paddle/fluid/train/demo/README.md
+66
-0
paddle/fluid/train/demo/demo_network.py
paddle/fluid/train/demo/demo_network.py
+47
-0
paddle/fluid/train/demo/demo_trainer.cc
paddle/fluid/train/demo/demo_trainer.cc
+103
-0
未找到文件。
paddle/fluid/train/demo/CMakeLists.txt
0 → 100644
浏览文件 @
be26b71b
cmake_minimum_required
(
VERSION 3.0
)
project
(
cpp_train_demo CXX C
)
set
(
CMAKE_CXX_FLAGS
"
${
CMAKE_CXX_FLAGS
}
-std=c++11"
)
if
(
NOT DEFINED PADDLE_LIB
)
message
(
FATAL_ERROR
"please set PADDLE_LIB with -DPADDLE_LIB=/paddle/lib/dir"
)
endif
()
option
(
WITH_MKLDNN
"Compile PaddlePaddle with MKLDNN"
OFF
)
option
(
WITH_MKL
"Compile PaddlePaddle with MKL support, default use openblas."
OFF
)
include_directories
(
"
${
PADDLE_LIB
}
"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/protobuf/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/glog/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/gflags/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/snappy/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/snappystream/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/zlib/include"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/boost"
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/eigen3"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/snappy/lib"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/snappystream/lib"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/protobuf/lib"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/glog/lib"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/gflags/lib"
)
link_directories
(
"
${
PADDLE_LIB
}
/third_party/install/zlib/lib"
)
add_executable
(
demo_trainer demo_trainer.cc
)
if
(
WITH_MKLDNN
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/mkldnn/include"
)
set
(
MKLDNN_LIB
${
PADDLE_LIB
}
/third_party/install/mkldnn/lib/libmkldnn.so.0
)
endif
()
if
(
WITH_MKL
)
include_directories
(
"
${
PADDLE_LIB
}
/third_party/install/mklml/include"
)
set
(
MATH_LIB
${
PADDLE_LIB
}
/third_party/install/mklml/lib/libmklml_intel.so
)
else
()
if
(
APPLE
)
set
(
MATH_LIB cblas
)
else
(
APPLE
)
set
(
MATH_LIB
${
PADDLE_LIB
}
/third_party/install/openblas/lib/libopenblas.a
)
endif
(
APPLE
)
endif
()
if
(
APPLE
)
set
(
MACOS_LD_FLAGS
"-undefined dynamic_lookup -Wl,-all_load -framework CoreFoundation -framework Security"
)
else
(
APPLE
)
set
(
ARCHIVE_START
"-Wl,--whole-archive"
)
set
(
ARCHIVE_END
"-Wl,--no-whole-archive"
)
set
(
EXTERNAL_LIB
"-lrt -ldl -lpthread"
)
endif
(
APPLE
)
target_link_libraries
(
demo_trainer
${
MACOS_LD_FLAGS
}
${
ARCHIVE_START
}
${
PADDLE_LIB
}
/paddle/fluid/inference/libpaddle_fluid.a
${
ARCHIVE_END
}
${
MATH_LIB
}
${
MKLDNN_LIB
}
glog gflags protobuf snappystream snappy z
${
EXTERNAL_LIB
}
)
paddle/fluid/train/demo/README.md
0 → 100644
浏览文件 @
be26b71b
### step 1. build paddle lib
```
# WITH_MKL=ON|OFF
# WITH_MKLDNN=ON|OFF
PADDLE_LIB=/paddle/lib/dir
cmake .. -DCMAKE_INSTALL_PREFIX=$PADDLE_LIB \
-DCMAKE_BUILD_TYPE=Release \
-DWITH_FLUID_ONLY=ON \
-DWITH_GPU=OFF \
-DWITH_STYLE_CHECK=OFF \
-DWITH_MKL=OFF \
-DWITH_MKLDNN=OFF
make -j8
make -j8 inference_lib_dist
```
### step 2. generate program desc
```
# please install paddle before run this scripe
pip install --upgrade paddlepaddle-*.whl
python demo_network.py
```
This will generate two program desc files:
-
startup_program: used to init all parameters
-
main_program: main logic of the network
### step 3. build demo_trainer and run it.
```
# Make a build dir at the same dir of this README.md document.
# The demo dir can be put anywhere.
mkdir build
cd build
# WITH_MKL=ON|OFF
# WITH_MKLDNN=ON|OFF
PADDLE_LIB=/paddle/lib/dir
# PADDLE_LIB is the same with CMAKE_INSTALL_PREFIX when building the lib
cmake .. -DPADDLE_LIB=$PADDLE_LIB \
-DWITH_MKLDNN=OFF \
-DWITH_MKL=OFF
make
# copy startup_program and main_program to this dir
cp ../startup_program .
cp ../main_program .
# run demo cpp trainer
./demo_trainer
```
The output will be:
```
step: 0 loss: 1069.02
step: 1 loss: 1069.02
step: 2 loss: 1069.02
....
```
paddle/fluid/train/demo/demo_network.py
0 → 100644
浏览文件 @
be26b71b
# Copyright (c) 2018 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.
import
paddle.fluid
as
fluid
import
paddle.fluid.framework
as
framework
def
train_network
(
with_optimize
):
x
=
fluid
.
layers
.
data
(
name
=
'x'
,
shape
=
[
13
],
dtype
=
'float32'
)
y_predict
=
fluid
.
layers
.
fc
(
input
=
x
,
size
=
1
,
act
=
None
)
y
=
fluid
.
layers
.
data
(
name
=
'y'
,
shape
=
[
1
],
dtype
=
'float32'
)
cost
=
fluid
.
layers
.
square_error_cost
(
input
=
y_predict
,
label
=
y
)
avg_cost
=
fluid
.
layers
.
mean
(
cost
)
if
with_optimize
:
sgd_optimizer
=
fluid
.
optimizer
.
SGD
(
learning_rate
=
0.00001
)
sgd_optimizer
.
minimize
(
avg_cost
)
else
:
fluid
.
backward
.
append_backward
(
avg_cost
)
def
save_program_desc
(
network_func
):
startup_program
=
framework
.
Program
()
train_program
=
framework
.
Program
()
with
framework
.
program_guard
(
train_program
,
startup_program
):
network_func
(
with_optimize
=
False
)
with
open
(
"startup_program"
,
"w"
)
as
f
:
f
.
write
(
startup_program
.
desc
.
serialize_to_string
())
with
open
(
"main_program"
,
"w"
)
as
f
:
f
.
write
(
train_program
.
desc
.
serialize_to_string
())
save_program_desc
(
train_network
)
paddle/fluid/train/demo/demo_trainer.cc
0 → 100644
浏览文件 @
be26b71b
// Copyright (c) 2018 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 <fstream>
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/init.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/framework/program_desc.h"
#include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/place.h"
namespace
paddle
{
namespace
train
{
void
ReadBinaryFile
(
const
std
::
string
&
filename
,
std
::
string
*
contents
)
{
std
::
ifstream
fin
(
filename
,
std
::
ios
::
in
|
std
::
ios
::
binary
);
PADDLE_ENFORCE
(
static_cast
<
bool
>
(
fin
),
"Cannot open file %s"
,
filename
);
fin
.
seekg
(
0
,
std
::
ios
::
end
);
contents
->
clear
();
contents
->
resize
(
fin
.
tellg
());
fin
.
seekg
(
0
,
std
::
ios
::
beg
);
fin
.
read
(
&
(
contents
->
at
(
0
)),
contents
->
size
());
fin
.
close
();
}
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
Load
(
paddle
::
framework
::
Executor
*
executor
,
const
std
::
string
&
model_filename
)
{
VLOG
(
3
)
<<
"loading model from "
<<
model_filename
;
std
::
string
program_desc_str
;
ReadBinaryFile
(
model_filename
,
&
program_desc_str
);
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
main_program
(
new
paddle
::
framework
::
ProgramDesc
(
program_desc_str
));
return
main_program
;
}
}
// namespace train
}
// namespace paddle
int
main
()
{
paddle
::
framework
::
InitDevices
(
false
);
const
auto
cpu_place
=
paddle
::
platform
::
CPUPlace
();
paddle
::
framework
::
Executor
executor
(
cpu_place
);
paddle
::
framework
::
Scope
scope
;
auto
startup_program
=
paddle
::
train
::
Load
(
&
executor
,
"startup_program"
);
auto
train_program
=
paddle
::
train
::
Load
(
&
executor
,
"main_program"
);
std
::
string
loss_name
=
""
;
for
(
auto
op_desc
:
train_program
->
Block
(
0
).
AllOps
())
{
if
(
op_desc
->
Type
()
==
"mean"
)
{
loss_name
=
op_desc
->
Output
(
"Out"
)[
0
];
break
;
}
}
PADDLE_ENFORCE_NE
(
loss_name
,
""
,
"loss not found"
);
// init all parameters
executor
.
Run
(
*
startup_program
.
get
(),
&
scope
,
0
);
// prepare data
auto
x_var
=
scope
.
Var
(
"x"
);
auto
x_tensor
=
x_var
->
GetMutable
<
paddle
::
framework
::
LoDTensor
>
();
x_tensor
->
Resize
({
2
,
13
});
auto
x_data
=
x_tensor
->
mutable_data
<
float
>
(
cpu_place
);
for
(
int
i
=
0
;
i
<
2
*
13
;
++
i
)
{
x_data
[
i
]
=
static_cast
<
float
>
(
i
);
}
auto
y_var
=
scope
.
Var
(
"y"
);
auto
y_tensor
=
y_var
->
GetMutable
<
paddle
::
framework
::
LoDTensor
>
();
y_tensor
->
Resize
({
2
,
1
});
auto
y_data
=
y_tensor
->
mutable_data
<
float
>
(
cpu_place
);
for
(
int
i
=
0
;
i
<
2
*
1
;
++
i
)
{
y_data
[
i
]
=
static_cast
<
float
>
(
i
);
}
auto
loss_var
=
scope
.
Var
(
loss_name
);
for
(
int
i
=
0
;
i
<
10
;
++
i
)
{
executor
.
Run
(
*
train_program
.
get
(),
&
scope
,
0
,
false
,
true
);
std
::
cout
<<
"step: "
<<
i
<<
" loss: "
<<
loss_var
->
Get
<
paddle
::
framework
::
LoDTensor
>
().
data
<
float
>
()[
0
]
<<
std
::
endl
;
}
return
0
;
}
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