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
PaddlePaddle
Paddle
提交
5863c861
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2298
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
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
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
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
5863c861
编写于
2月 26, 2019
作者:
N
nhzlx
提交者:
ceci3
3月 08, 2019
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
6. delete useless predictor id
test=develop
上级
f3d164fa
变更
9
显示空白变更内容
内联
并排
Showing
9 changed file
with
29 addition
and
80 deletion
+29
-80
paddle/fluid/inference/analysis/argument.h
paddle/fluid/inference/analysis/argument.h
+0
-4
paddle/fluid/inference/analysis/ir_pass_manager.cc
paddle/fluid/inference/analysis/ir_pass_manager.cc
+0
-1
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
...id/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
+8
-12
paddle/fluid/inference/api/analysis_predictor.cc
paddle/fluid/inference/api/analysis_predictor.cc
+0
-1
paddle/fluid/inference/api/analysis_predictor.h
paddle/fluid/inference/api/analysis_predictor.h
+1
-4
paddle/fluid/inference/tensorrt/engine.h
paddle/fluid/inference/tensorrt/engine.h
+0
-37
paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
+2
-1
paddle/fluid/inference/tensorrt/plugin/trt_plugin_utils.h
paddle/fluid/inference/tensorrt/plugin/trt_plugin_utils.h
+7
-0
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
+11
-20
未找到文件。
paddle/fluid/inference/analysis/argument.h
浏览文件 @
5863c861
...
...
@@ -99,10 +99,6 @@ struct Argument {
private: \
unique_ptr_t field__##_;
// Each predictor has an unique id.
// For now, this attr will help us to get the right
// trt_engine for each trt_engine_op for each predictor when using trt.
DECL_ARGUMENT_FIELD
(
predictor_id
,
PredictorID
,
int
);
// Model path
DECL_ARGUMENT_FIELD
(
model_dir
,
ModelDir
,
std
::
string
);
// Model specified with program and parameters files.
...
...
paddle/fluid/inference/analysis/ir_pass_manager.cc
浏览文件 @
5863c861
...
...
@@ -81,7 +81,6 @@ void IRPassManager::CreatePasses(Argument *argument,
pass
->
Set
(
"model_opt_cache_dir"
,
new
std
::
string
(
GetOrCreateModelOptCacheDir
(
model_opt_cache_dir
)));
pass
->
Set
(
"predictor_id"
,
new
int
(
argument
->
predictor_id
()));
pass
->
Set
(
"gpu_device_id"
,
new
int
(
argument
->
gpu_device_id
()));
}
...
...
paddle/fluid/inference/analysis/ir_passes/tensorrt_subgraph_pass.cc
浏览文件 @
5863c861
...
...
@@ -209,9 +209,8 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
SetAttr
(
op_desc
->
Proto
(),
"parameters"
,
params
);
auto
enable_int8
=
Get
<
bool
>
(
"enable_int8"
);
int
predictor_id
=
Get
<
int
>
(
"predictor_id"
);
auto
engine_key
=
GenerateEngineKey
(
input_names_with_id
,
output_names_with_id
,
std
::
to_string
(
predictor_id
));
std
::
to_string
(
0
));
// Get "" when there is no cached calibration table data.
std
::
string
calibration_data
=
GetTrtCalibTableData
(
...
...
@@ -221,9 +220,6 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
SetAttr
(
op_desc
->
Proto
(),
"enable_int8"
,
enable_int8
);
SetAttr
(
op_desc
->
Proto
(),
"engine_key"
,
engine_key
);
SetAttr
(
op_desc
->
Proto
(),
"engine_serialized_data"
,
std
::
string
(
""
));
SetAttr
(
op_desc
->
Proto
(),
"engine_serialized_data_path"
,
GetTrtEngineSerializedPath
(
Get
<
std
::
string
>
(
"model_opt_cache_dir"
),
engine_key
));
std
::
unique_ptr
<
tensorrt
::
TRTInt8Calibrator
>
calibrator
;
if
(
enable_int8
&&
calibration_data
.
size
()
!=
0
)
{
...
...
@@ -239,13 +235,13 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
std
::
string
trt_engine_serialized_data
=
GetTrtEngineSerializedData
(
Get
<
std
::
string
>
(
"model_opt_cache_dir"
),
engine_key
);
tensorrt
::
TensorRTEngine
*
trt_engine
=
inference
::
Singleton
<
tensorrt
::
TRTEngineManager
>::
Global
().
Create
(
Get
<
int
>
(
"max_batch_size"
),
Get
<
int
>
(
"workspace_size"
),
enable_int8
,
calibrator
.
get
(),
engine_key
,
Get
<
int
>
(
"gpu_device_id"
));
if
(
trt_engine_serialized_data
.
size
()
==
0
)
{
LOG
(
INFO
)
<<
"Prepare TRT engine (Optimize model structure, Select OP "
"kernel etc). This process may cost a lot of time."
;
std
::
unique_ptr
<
tensorrt
::
TensorRTEngine
>
trt_engine
(
new
tensorrt
::
TensorRTEngine
(
Get
<
int
>
(
"max_batch_size"
),
Get
<
int
>
(
"workspace_size"
),
enable_int8
,
calibrator
.
get
(),
Get
<
int
>
(
"gpu_device_id"
)));
auto
*
scope
=
param_scope
();
framework
::
BlockDesc
block_desc_temp
(
nullptr
,
block_desc
.
Proto
());
std
::
unordered_set
<
std
::
string
>
param_set
(
params
.
begin
(),
params
.
end
());
...
...
@@ -253,7 +249,7 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
.
ConvertBlockToTRTEngine
(
&
block_desc_temp
,
*
scope
,
std
::
vector
<
std
::
string
>
(
input_names
.
begin
(),
input_names
.
end
()),
param_set
,
output_mapping
,
trt_engine
);
param_set
,
output_mapping
,
trt_engine
.
get
()
);
nvinfer1
::
IHostMemory
*
serialized_engine_data
=
trt_engine
->
Serialize
();
trt_engine_serialized_data
=
std
::
string
((
const
char
*
)
serialized_engine_data
->
data
(),
...
...
@@ -263,11 +259,11 @@ void TensorRtSubgraphPass::CreateTensorRTOp(
engine_key
),
trt_engine_serialized_data
);
}
else
{
LOG
(
INFO
)
<<
"Load TRT
Engine from optimized serialized data :
"
LOG
(
INFO
)
<<
"Load TRT
Optimized Info from
"
<<
GetTrtEngineSerializedPath
(
Get
<
std
::
string
>
(
"model_opt_cache_dir"
),
engine_key
);
trt_engine
->
Deserialize
(
trt_engine_serialized_data
);
}
SetAttr
(
op_desc
->
Proto
(),
"engine_serialized_data"
,
trt_engine_serialized_data
);
}
...
...
paddle/fluid/inference/api/analysis_predictor.cc
浏览文件 @
5863c861
...
...
@@ -345,7 +345,6 @@ void AnalysisPredictor::OptimizeInferenceProgram() {
config_
.
static_memory_optim_force_update_
);
argument_
.
SetModelFromMemory
(
config_
.
model_from_memory_
);
// Analyze inference_program
argument_
.
SetPredictorID
(
predictor_id_
);
if
(
!
config_
.
model_dir
().
empty
())
{
argument_
.
SetModelDir
(
config_
.
model_dir
());
}
else
{
...
...
paddle/fluid/inference/api/analysis_predictor.h
浏览文件 @
5863c861
...
...
@@ -44,9 +44,7 @@ using framework::NaiveExecutor;
*/
class
AnalysisPredictor
:
public
PaddlePredictor
{
public:
explicit
AnalysisPredictor
(
const
AnalysisConfig
&
config
)
:
config_
(
config
)
{
predictor_id_
=
inference
::
GetUniqueId
();
}
explicit
AnalysisPredictor
(
const
AnalysisConfig
&
config
)
:
config_
(
config
)
{}
~
AnalysisPredictor
();
bool
Init
(
const
std
::
shared_ptr
<
framework
::
Scope
>
&
parent_scope
,
...
...
@@ -146,7 +144,6 @@ class AnalysisPredictor : public PaddlePredictor {
const
size_t
max_shape_collect_count_
{
1000
};
int
need_collect_var_shapes_
{
-
1
};
// -1 for default, 0 for false, 1 for true.
std
::
vector
<
std
::
map
<
std
::
string
,
std
::
vector
<
int
>>>
batch_var_shapes_
;
int
predictor_id_
;
private:
// Some status here that help to determine the status inside the predictor.
...
...
paddle/fluid/inference/tensorrt/engine.h
浏览文件 @
5863c861
...
...
@@ -199,43 +199,6 @@ class TensorRTEngine {
#define TRT_ENGINE_ADD_LAYER(engine__, layer__, ARGS...) \
engine__->network()->add##layer__(ARGS);
/*
* Helper to control the TensorRT engine's creation and deletion.
*/
class
TRTEngineManager
{
public:
bool
HasEngine
(
const
std
::
string
&
name
)
const
{
if
(
engines_
.
count
(
name
)
==
0
)
return
false
;
return
engines_
.
at
(
name
).
get
()
!=
nullptr
;
}
// Get an engine called `name`.
TensorRTEngine
*
Get
(
const
std
::
string
&
name
)
const
{
return
engines_
.
at
(
name
).
get
();
}
// Create or get an engine called `name`
TensorRTEngine
*
Create
(
int
max_batch
,
int
max_workspace
,
bool
enable_int8
,
TRTInt8Calibrator
*
calibrator
,
const
std
::
string
&
engine_name
,
int
device_id
=
0
)
{
std
::
unique_lock
<
std
::
mutex
>
lk
(
mut_
);
auto
*
p
=
new
TensorRTEngine
(
max_batch
,
max_workspace
,
enable_int8
,
calibrator
,
device_id
);
engines_
[
engine_name
].
reset
(
p
);
return
p
;
}
void
DeleteALL
()
{
for
(
auto
&
item
:
engines_
)
{
item
.
second
.
reset
(
nullptr
);
}
}
private:
std
::
unordered_map
<
std
::
string
,
std
::
unique_ptr
<
TensorRTEngine
>>
engines_
;
std
::
mutex
mut_
;
};
}
// namespace tensorrt
}
// namespace inference
}
// namespace paddle
paddle/fluid/inference/tensorrt/plugin/trt_plugin_factory.h
浏览文件 @
5863c861
...
...
@@ -31,7 +31,8 @@ namespace inference {
namespace
tensorrt
{
namespace
plugin
{
class
PluginFactoryTensorRT
:
public
nvinfer1
::
IPluginFactory
{
class
PluginFactoryTensorRT
:
public
nvinfer1
::
IPluginFactory
,
public
DeleteHelper
{
public:
// Deserialization method
PluginTensorRT
*
createPlugin
(
const
char
*
layer_name
,
const
void
*
serial_data
,
...
...
paddle/fluid/inference/tensorrt/plugin/trt_plugin_utils.h
浏览文件 @
5863c861
...
...
@@ -24,6 +24,13 @@ namespace inference {
namespace
tensorrt
{
namespace
plugin
{
// Some trt base classes lack of the destructor.
// We use a assisted class to fix this.
struct
DeleteHelper
{
protected:
virtual
~
DeleteHelper
()
{}
};
template
<
typename
T
>
inline
void
SerializeValue
(
void
**
buffer
,
T
const
&
value
);
...
...
paddle/fluid/operators/tensorrt/tensorrt_engine_op.h
浏览文件 @
5863c861
...
...
@@ -41,7 +41,7 @@ class TensorRTEngineOp : public framework::OperatorBase {
private:
std
::
vector
<
std
::
string
>
input_names_
;
std
::
unordered_set
<
std
::
string
>
param_names_
;
mutable
TensorRTEngine
*
trt_engine_
;
mutable
std
::
unique_ptr
<
TensorRTEngine
>
trt_engine_
;
int
max_batch_size_
;
int
workspace_size_
;
std
::
unique_ptr
<
TRTInt8Calibrator
>
calibrator_
;
...
...
@@ -64,7 +64,6 @@ class TensorRTEngineOp : public framework::OperatorBase {
calibration_data_
=
Attr
<
std
::
string
>
(
"calibration_data"
);
engine_key_
=
Attr
<
std
::
string
>
(
"engine_key"
);
engine_serialized_data_
=
Attr
<
std
::
string
>
(
"engine_serialized_data"
);
trt_engine_
=
nullptr
;
auto
params
=
Attr
<
std
::
vector
<
std
::
string
>>
(
"parameters"
);
for
(
const
auto
&
param
:
params
)
{
...
...
@@ -78,16 +77,6 @@ class TensorRTEngineOp : public framework::OperatorBase {
if
(
enable_int8_
&&
calibration_data_
.
size
())
{
calibrator_
.
reset
(
new
TRTInt8Calibrator
(
calibration_data_
));
}
// we will create an engine here.
if
(
!
calibration_mode_
)
{
if
(
inference
::
Singleton
<
inference
::
tensorrt
::
TRTEngineManager
>::
Global
()
.
HasEngine
(
engine_key_
))
{
trt_engine_
=
inference
::
Singleton
<
inference
::
tensorrt
::
TRTEngineManager
>::
Global
()
.
Get
(
engine_key_
);
}
}
}
protected:
...
...
@@ -231,15 +220,17 @@ class TensorRTEngineOp : public framework::OperatorBase {
TensorRTEngine
*
GetEngine
(
const
framework
::
Scope
&
scope
,
const
platform
::
Place
&
dev_place
)
const
{
if
(
trt_engine_
==
nullptr
)
{
trt_engine_
=
inference
::
Singleton
<
inference
::
tensorrt
::
TRTEngineManager
>::
Global
()
.
Create
(
max_batch_size_
,
workspace_size_
,
enable_int8_
,
calibrator_
.
get
(),
engine_key_
,
boost
::
get
<
platform
::
CUDAPlace
>
(
dev_place
).
device
);
PrepareTRTEngine
(
scope
,
trt_engine_
);
if
(
trt_engine_
.
get
()
==
nullptr
)
{
trt_engine_
.
reset
(
new
inference
::
tensorrt
::
TensorRTEngine
(
max_batch_size_
,
workspace_size_
,
enable_int8_
,
calibrator_
.
get
(),
boost
::
get
<
platform
::
CUDAPlace
>
(
dev_place
).
device
));
if
(
engine_serialized_data_
.
size
()
>
0
)
{
trt_engine_
->
Deserialize
(
engine_serialized_data_
);
}
else
{
PrepareTRTEngine
(
scope
,
trt_engine_
.
get
());
}
}
return
trt_engine_
;
return
trt_engine_
.
get
()
;
}
void
PrepareTRTEngine
(
const
framework
::
Scope
&
scope
,
...
...
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