Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
wmsofts
Paddle
提交
900fbb83
P
Paddle
项目概览
wmsofts
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
900fbb83
编写于
11月 28, 2018
作者:
N
nhzlx
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add params sync pass
上级
12e1719f
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
137 addition
and
12 deletion
+137
-12
paddle/fluid/inference/analysis/passes/CMakeLists.txt
paddle/fluid/inference/analysis/passes/CMakeLists.txt
+2
-1
paddle/fluid/inference/analysis/passes/ir_analysis_compose_pass.cc
...uid/inference/analysis/passes/ir_analysis_compose_pass.cc
+1
-0
paddle/fluid/inference/analysis/passes/ir_graph_build_pass.cc
...le/fluid/inference/analysis/passes/ir_graph_build_pass.cc
+1
-6
paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.cc
...ence/analysis/passes/ir_params_sync_among_devices_pass.cc
+86
-0
paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.h
...rence/analysis/passes/ir_params_sync_among_devices_pass.h
+42
-0
paddle/fluid/inference/analysis/passes/passes.cc
paddle/fluid/inference/analysis/passes/passes.cc
+4
-0
paddle/fluid/inference/api/paddle_pass_builder.h
paddle/fluid/inference/api/paddle_pass_builder.h
+1
-5
未找到文件。
paddle/fluid/inference/analysis/passes/CMakeLists.txt
浏览文件 @
900fbb83
cc_library
(
ir_graph_build_pass SRCS ir_graph_build_pass.cc DEPS analysis_pass argument ir_pass_manager
)
cc_library
(
ir_graph_build_pass SRCS ir_graph_build_pass.cc DEPS analysis_pass argument ir_pass_manager
)
cc_library
(
ir_analysis_pass SRCS ir_analysis_pass.cc DEPS analysis_pass argument ir_pass_manager
)
cc_library
(
ir_analysis_pass SRCS ir_analysis_pass.cc DEPS analysis_pass argument ir_pass_manager
)
cc_library
(
analysis_passes SRCS passes.cc DEPS ir_graph_build_pass ir_analysis_pass
)
cc_library
(
ir_params_sync_among_devices_pass SRCS ir_params_sync_among_devices_pass.cc DEPS analysis_pass argument ir_pass_manager analysis_helper
)
cc_library
(
analysis_passes SRCS passes.cc DEPS ir_graph_build_pass ir_analysis_pass ir_params_sync_among_devices_pass
)
set
(
analysis_deps
${
analysis_deps
}
set
(
analysis_deps
${
analysis_deps
}
ir_graph_build_pass
ir_graph_build_pass
...
...
paddle/fluid/inference/analysis/passes/ir_analysis_compose_pass.cc
浏览文件 @
900fbb83
...
@@ -61,6 +61,7 @@ void IrAnalysisComposePass::InitTensorRTAttrs(Argument *argument) {
...
@@ -61,6 +61,7 @@ void IrAnalysisComposePass::InitTensorRTAttrs(Argument *argument) {
void
IrAnalysisComposePass
::
ApplyIrPasses
(
Argument
*
argument
)
{
void
IrAnalysisComposePass
::
ApplyIrPasses
(
Argument
*
argument
)
{
std
::
vector
<
std
::
string
>
passes
({
std
::
vector
<
std
::
string
>
passes
({
"ir_graph_build_pass"
,
"ir_analysis_pass"
,
"ir_graph_build_pass"
,
"ir_analysis_pass"
,
"ir_params_sync_among_devices_pass"
,
});
});
for
(
const
auto
&
pass
:
passes
)
{
for
(
const
auto
&
pass
:
passes
)
{
VLOG
(
2
)
<<
"Run pass "
<<
pass
;
VLOG
(
2
)
<<
"Run pass "
<<
pass
;
...
...
paddle/fluid/inference/analysis/passes/ir_graph_build_pass.cc
浏览文件 @
900fbb83
...
@@ -36,12 +36,7 @@ void IrGraphBuildPass::RunImpl(Argument *argument) {
...
@@ -36,12 +36,7 @@ void IrGraphBuildPass::RunImpl(Argument *argument) {
// so that the parameters will on the same device, or they will keep copying
// so that the parameters will on the same device, or they will keep copying
// between difference devices.
// between difference devices.
platform
::
Place
place
;
platform
::
Place
place
;
if
(
argument
->
use_gpu
())
{
place
=
platform
::
CPUPlace
();
PADDLE_ENFORCE
(
argument
->
gpu_device_id_valid
());
place
=
platform
::
CUDAPlace
(
argument
->
gpu_device_id
());
}
else
{
place
=
platform
::
CPUPlace
();
}
if
(
argument
->
model_dir_valid
())
{
if
(
argument
->
model_dir_valid
())
{
auto
program
=
auto
program
=
...
...
paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.cc
0 → 100644
浏览文件 @
900fbb83
// 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 "paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.h"
#include "paddle/fluid/framework/data_layout.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/tensor_util.h"
#include "paddle/fluid/platform/enforce.h"
namespace
paddle
{
namespace
{
bool
IsPersistable
(
const
framework
::
VarDesc
*
var
)
{
if
(
var
->
Persistable
()
&&
var
->
GetType
()
!=
framework
::
proto
::
VarType
::
FEED_MINIBATCH
&&
var
->
GetType
()
!=
framework
::
proto
::
VarType
::
FETCH_LIST
)
{
return
true
;
}
return
false
;
}
}
// namespace
namespace
inference
{
namespace
analysis
{
void
IrParamsSyncAmongDevicesPass
::
RunImpl
(
Argument
*
argument
)
{
PADDLE_ENFORCE
(
argument
->
scope_valid
());
PADDLE_ENFORCE
(
argument
->
use_gpu_valid
());
platform
::
Place
place
;
// The parameters are on the cpu, therefore, synchronization is not necessary.
if
(
!
argument
->
use_gpu
())
return
;
LOG
(
INFO
)
<<
"Sync params from CPU to GPU"
;
PADDLE_ENFORCE
(
argument
->
gpu_device_id_valid
());
place
=
platform
::
CUDAPlace
(
argument
->
gpu_device_id
());
auto
*
scope
=
argument
->
scope_ptr
();
// Get the program which has been processed by several passes.
analysis_program_
.
reset
(
new
framework
::
ProgramDesc
(
argument
->
ir_analyzed_program
()));
const
auto
&
global_block
=
analysis_program_
->
Block
(
0
);
// sync the params from cpu to gpu.
for
(
auto
&
var
:
global_block
.
AllVars
())
{
if
(
IsPersistable
(
var
))
{
std
::
string
var_name
=
var
->
Name
();
LOG
(
INFO
)
<<
var_name
;
auto
&
t
=
inference
::
analysis
::
GetFromScope
<
framework
::
LoDTensor
>
(
*
scope
,
var_name
);
platform
::
CPUPlace
cpu_place
;
framework
::
LoDTensor
temp_tensor
;
temp_tensor
.
Resize
(
t
.
dims
());
temp_tensor
.
mutable_data
<
float
>
(
cpu_place
);
// Copy the parameter data to a tmp tensor.
TensorCopySync
(
t
,
cpu_place
,
&
temp_tensor
);
// Reallocation the space on GPU
t
.
mutable_data
<
float
>
(
place
);
// Copy parameter data to newly allocated GPU space.
TensorCopySync
(
temp_tensor
,
place
,
&
t
);
}
}
}
std
::
string
IrParamsSyncAmongDevicesPass
::
repr
()
const
{
return
"ir-params-sync-among-devices-pass"
;
}
}
// namespace analysis
}
// namespace inference
}
// namespace paddle
paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.h
0 → 100644
浏览文件 @
900fbb83
// 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.
#pragma once
#include <string>
#include "paddle/fluid/framework/scope.h"
#include "paddle/fluid/inference/analysis/analysis_pass.h"
#include "paddle/fluid/inference/analysis/helper.h"
#include "paddle/fluid/platform/place.h"
namespace
paddle
{
namespace
inference
{
namespace
analysis
{
/*
* Sync parameter from CPU to GPU.
*/
class
IrParamsSyncAmongDevicesPass
:
public
AnalysisPass
{
public:
void
RunImpl
(
Argument
*
argument
)
override
;
std
::
string
repr
()
const
override
;
private:
std
::
unique_ptr
<
framework
::
ProgramDesc
>
analysis_program_
;
};
}
// namespace analysis
}
// namespace inference
}
// namespace paddle
paddle/fluid/inference/analysis/passes/passes.cc
浏览文件 @
900fbb83
...
@@ -16,6 +16,7 @@
...
@@ -16,6 +16,7 @@
#include "paddle/fluid/inference/analysis/passes/ir_analysis_compose_pass.cc"
#include "paddle/fluid/inference/analysis/passes/ir_analysis_compose_pass.cc"
#include "paddle/fluid/inference/analysis/passes/ir_analysis_pass.h"
#include "paddle/fluid/inference/analysis/passes/ir_analysis_pass.h"
#include "paddle/fluid/inference/analysis/passes/ir_graph_build_pass.h"
#include "paddle/fluid/inference/analysis/passes/ir_graph_build_pass.h"
#include "paddle/fluid/inference/analysis/passes/ir_params_sync_among_devices_pass.h"
namespace
paddle
{
namespace
paddle
{
namespace
inference
{
namespace
inference
{
...
@@ -27,6 +28,9 @@ PassRegistry::PassRegistry() {
...
@@ -27,6 +28,9 @@ PassRegistry::PassRegistry() {
std
::
unique_ptr
<
AnalysisPass
>
(
new
IrGraphBuildPass
));
std
::
unique_ptr
<
AnalysisPass
>
(
new
IrGraphBuildPass
));
passes_
.
emplace
(
"ir_analysis_compose_pass"
,
passes_
.
emplace
(
"ir_analysis_compose_pass"
,
std
::
unique_ptr
<
AnalysisPass
>
(
new
IrAnalysisComposePass
));
std
::
unique_ptr
<
AnalysisPass
>
(
new
IrAnalysisComposePass
));
passes_
.
emplace
(
"ir_params_sync_among_devices_pass"
,
std
::
unique_ptr
<
AnalysisPass
>
(
new
IrParamsSyncAmongDevicesPass
));
}
}
}
// namespace analysis
}
// namespace analysis
...
...
paddle/fluid/inference/api/paddle_pass_builder.h
浏览文件 @
900fbb83
...
@@ -116,12 +116,8 @@ class CpuPassStrategy : public PassStrategy {
...
@@ -116,12 +116,8 @@ class CpuPassStrategy : public PassStrategy {
class
GpuPassStrategy
:
public
PassStrategy
{
class
GpuPassStrategy
:
public
PassStrategy
{
public:
public:
GpuPassStrategy
()
:
PassStrategy
({})
{
GpuPassStrategy
()
:
PassStrategy
({})
{
// TODO(NHZlX) Problem with Data synchronization between GPU and CPU
// When running in GPU mode, the parameters are all on GPU. But the
// opearations of "conv_bn_fuse_pass" are on CPU.
passes_
.
assign
({
passes_
.
assign
({
"infer_clean_graph_pass"
,
"infer_clean_graph_pass"
,
"conv_bn_fuse_pass"
,
// "infer_clean_graph_pass", "conv_bn_fuse_pass",
});
});
}
}
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录