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体验新版 GitCode,发现更多精彩内容 >>
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b2c8a007
编写于
11月 25, 2020
作者:
W
wawltor
提交者:
GitHub
11月 25, 2020
浏览文件
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电子邮件补丁
差异文件
remove eigen threadpool for the speed up
remove eigen threadpool for the speed up
上级
7b5a8e46
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
1 addition
and
32 deletion
+1
-32
paddle/fluid/operators/math/math_function.cc
paddle/fluid/operators/math/math_function.cc
+1
-7
paddle/fluid/platform/device_context.cc
paddle/fluid/platform/device_context.cc
+0
-18
paddle/fluid/platform/device_context.h
paddle/fluid/platform/device_context.h
+0
-7
未找到文件。
paddle/fluid/operators/math/math_function.cc
浏览文件 @
b2c8a007
...
...
@@ -99,13 +99,7 @@ struct TransposeNormal<platform::CPUDeviceContext, T> {
out_ptr
[
out_idx
]
=
in_ptr
[
in_idx
];
}
};
double
cost_per_iteration
=
rank
*
(
Eigen
::
TensorOpCost
::
DivCost
<
int64_t
>
()
+
2
*
Eigen
::
TensorOpCost
::
MulCost
<
int64_t
>
()
+
2
*
Eigen
::
TensorOpCost
::
AddCost
<
int64_t
>
());
Eigen
::
TensorOpCost
cost
(
sizeof
(
T
),
sizeof
(
T
),
cost_per_iteration
);
auto
*
cpu_device
=
context
.
eigen_pool_device
();
cpu_device
->
parallelFor
(
out
->
numel
(),
cost
,
std
::
move
(
transpose_helper
));
transpose_helper
(
0
,
out
->
numel
());
}
};
...
...
paddle/fluid/platform/device_context.cc
浏览文件 @
b2c8a007
...
...
@@ -12,7 +12,6 @@ limitations under the License. */
#include "paddle/fluid/platform/device_context.h"
#include <set>
#include <string>
#include <thread> //NOLINT
#include <unordered_set>
#include <vector>
...
...
@@ -24,7 +23,6 @@ limitations under the License. */
#endif
#include "glog/logging.h"
#include "unsupported/Eigen/CXX11/ThreadPool"
namespace
paddle
{
namespace
memory
{
...
...
@@ -133,32 +131,16 @@ DeviceContextPool::DeviceContextPool(
CPUDeviceContext
::
CPUDeviceContext
()
{
eigen_device_
.
reset
(
new
Eigen
::
DefaultDevice
());
InitPoolDevice
();
}
CPUDeviceContext
::
CPUDeviceContext
(
CPUPlace
place
)
:
place_
(
place
)
{
eigen_device_
.
reset
(
new
Eigen
::
DefaultDevice
());
InitPoolDevice
();
}
void
CPUDeviceContext
::
InitPoolDevice
()
{
using
EigenEnv
=
Eigen
::
StlThreadEnvironment
;
using
EigenThreadPool
=
Eigen
::
ThreadPoolTempl
<
EigenEnv
>
;
// int num_threads = std::thread::hardware_concurrency();
int
num_threads
=
1
;
eigen_threadpool_
.
reset
(
new
EigenThreadPool
(
num_threads
));
eigen_pool_device_
.
reset
(
new
Eigen
::
ThreadPoolDevice
(
eigen_threadpool_
.
get
(),
num_threads
));
}
Eigen
::
DefaultDevice
*
CPUDeviceContext
::
eigen_device
()
const
{
return
eigen_device_
.
get
();
}
Eigen
::
ThreadPoolDevice
*
CPUDeviceContext
::
eigen_pool_device
()
const
{
return
eigen_pool_device_
.
get
();
}
Place
CPUDeviceContext
::
GetPlace
()
const
{
return
place_
;
}
#ifdef PADDLE_WITH_XPU
...
...
paddle/fluid/platform/device_context.h
浏览文件 @
b2c8a007
...
...
@@ -43,7 +43,6 @@ limitations under the License. */
#ifdef PADDLE_WITH_CUDA
#include "paddle/fluid/platform/stream/cuda_stream.h"
#endif
#define EIGEN_USE_THREADS
#include "unsupported/Eigen/CXX11/Tensor"
namespace
Eigen
{
...
...
@@ -73,17 +72,11 @@ class CPUDeviceContext : public DeviceContext {
Eigen
::
DefaultDevice
*
eigen_device
()
const
;
Eigen
::
ThreadPoolDevice
*
eigen_pool_device
()
const
;
Place
GetPlace
()
const
override
;
inline
void
InitPoolDevice
();
private:
CPUPlace
place_
;
std
::
unique_ptr
<
Eigen
::
DefaultDevice
>
eigen_device_
;
std
::
unique_ptr
<
Eigen
::
ThreadPoolDevice
>
eigen_pool_device_
;
std
::
unique_ptr
<
Eigen
::
ThreadPool
>
eigen_threadpool_
;
};
template
<
typename
Place
>
...
...
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