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d4cab7d9
编写于
12月 11, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
use jitkernel in one file
上级
adc7ba2e
变更
12
隐藏空白更改
内联
并排
Showing
12 changed file
with
133 addition
and
108 deletion
+133
-108
paddle/fluid/operators/jit/CMakeLists.txt
paddle/fluid/operators/jit/CMakeLists.txt
+7
-6
paddle/fluid/operators/jit/gen/CMakeLists.txt
paddle/fluid/operators/jit/gen/CMakeLists.txt
+7
-0
paddle/fluid/operators/jit/gen/jitcode.cc
paddle/fluid/operators/jit/gen/jitcode.cc
+0
-21
paddle/fluid/operators/jit/helper.h
paddle/fluid/operators/jit/helper.h
+96
-0
paddle/fluid/operators/jit/kernel_base.h
paddle/fluid/operators/jit/kernel_base.h
+1
-1
paddle/fluid/operators/jit/kernel_pool.h
paddle/fluid/operators/jit/kernel_pool.h
+0
-63
paddle/fluid/operators/jit/more/CMakeLists.txt
paddle/fluid/operators/jit/more/CMakeLists.txt
+3
-0
paddle/fluid/operators/jit/more/mkl/CMakeLists.txt
paddle/fluid/operators/jit/more/mkl/CMakeLists.txt
+3
-0
paddle/fluid/operators/jit/more/mkl/mkl.h
paddle/fluid/operators/jit/more/mkl/mkl.h
+2
-2
paddle/fluid/operators/jit/refer/CMakeLists.txt
paddle/fluid/operators/jit/refer/CMakeLists.txt
+7
-0
paddle/fluid/operators/jit/refer/refer.h
paddle/fluid/operators/jit/refer/refer.h
+2
-2
paddle/fluid/operators/jit/test.cc
paddle/fluid/operators/jit/test.cc
+5
-13
未找到文件。
paddle/fluid/operators/jit/CMakeLists.txt
浏览文件 @
d4cab7d9
# set(use_
jit_file ${PADDLE_BINARY_DIR}/paddle/fluid/operators/jit/kernels.h)
# file(WRITE ${pass_file} "// Generated by the paddle/fluid/framework/ir
/CMakeLists.txt. DO NOT EDIT!\n\n")
# file(APPEND ${pass
_file} "\#pragma once\n")
# file(APPEND ${pass_file} "\#include \"paddle/fluid/framework/ir/pass
.h\"\n")
set
(
jit_file
${
PADDLE_BINARY_DIR
}
/paddle/fluid/operators/jit/kernels.h
)
file
(
WRITE
${
jit_file
}
"// Generated by the paddle/fluid/operators/jit
/CMakeLists.txt. DO NOT EDIT!
\n\n
"
)
file
(
APPEND
${
jit
_file
}
"
\#
pragma once
\n
"
)
file
(
APPEND
${
jit_file
}
"
\#
include
\"
paddle/fluid/operators/jit/helper
.h
\"\n
"
)
file
(
APPEND
${
jit_file
}
"
\#
include
\"
paddle/fluid/operators/jit/registry.h
\"\n\n
"
)
set
(
JIT_KERNEL_DEPS cpu_info cblas gflags enforce place
)
file
(
GLOB jit_kernel_cc_srcs RELATIVE
"
${
CMAKE_CURRENT_SOURCE_DIR
}
"
"*.cc"
)
list
(
REMOVE_ITEM jit_kernel_cc_srcs
jit_
test.cc
)
list
(
REMOVE_ITEM jit_kernel_cc_srcs test.cc
)
cc_library
(
jit_kernel_base SRCS
${
jit_kernel_cc_srcs
}
DEPS
${
JIT_KERNEL_DEPS
}
)
# refer must go first
add_subdirectory
(
refer
)
add_subdirectory
(
more
)
if
(
WITH_XBYAK
)
...
...
paddle/fluid/operators/jit/gen/CMakeLists.txt
浏览文件 @
d4cab7d9
...
...
@@ -3,3 +3,10 @@ file(GLOB jitcode_cc_srcs RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "*.cc")
cc_library
(
jit_kernel_jitcode SRCS
${
jitcode_cc_srcs
}
DEPS jit_kernel_base xbyak
)
set
(
JIT_KERNEL_DEPS
${
JIT_KERNEL_DEPS
}
xbyak jit_kernel_jitcode PARENT_SCOPE
)
function
(
USE_JITKERNEL_GEN TARGET
)
file
(
APPEND
${
jit_file
}
"USE_JITKERNEL_GEN(
${
TARGET
}
);
\n
"
)
endfunction
()
# use gen jitcode kernel by name
USE_JITKERNEL_GEN
(
vmul
)
paddle/fluid/operators/jit/gen/jitcode.cc
已删除
100644 → 0
浏览文件 @
adc7ba2e
/* 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/operators/jit/gen/jitcode.h"
namespace
paddle
{
namespace
operators
{
namespace
jit
{}
// namespace jit
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/jit/helper.h
0 → 100644
浏览文件 @
d4cab7d9
/* 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 <memory> // for unique_ptr
#include <string>
#include <unordered_map>
#include <vector>
#include "paddle/fluid/operators/jit/gen_base.h"
#include "paddle/fluid/operators/jit/kernel_base.h"
#include "paddle/fluid/operators/jit/kernel_key.h"
#include "paddle/fluid/operators/jit/kernel_pool.h"
#include "paddle/fluid/platform/place.h"
namespace
paddle
{
namespace
operators
{
namespace
jit
{
// Refer code do not related with attr, and always on CPUPlace
template
<
KernelType
KT
,
typename
T
,
typename
Func
,
typename
Attr
>
inline
Func
GetRefer
()
{
auto
&
ref_pool
=
ReferKernelPool
().
Instance
().
AllKernels
();
KernelKey
kkey
(
KT
,
platform
::
CPUPlace
());
auto
ref_iter
=
ref_pool
.
find
(
kkey
);
PADDLE_ENFORCE
(
ref_iter
!=
ref_pool
.
end
(),
"Every Kernel should have reference function."
);
auto
&
ref_impls
=
ref_iter
->
second
;
for
(
auto
&
impl
:
ref_impls
)
{
auto
i
=
dynamic_cast
<
const
ReferKernel
<
T
,
Func
,
Attr
>*>
(
impl
.
get
());
if
(
i
)
{
return
i
->
GetFunc
();
}
}
return
nullptr
;
}
template
<
KernelType
KT
,
typename
T
,
typename
Func
,
typename
Attr
,
typename
PlaceType
=
platform
::
CPUPlace
>
const
Func
Get
(
Attr
attr
)
{
size_t
key
=
JitCodeKey
<
Attr
>
(
attr
);
auto
&
codes
=
JitCodePool
<
KT
>
().
Instance
();
if
(
codes
.
Has
(
key
))
{
return
codes
.
AllKernels
().
at
(
key
)
->
template
getCode
<
Func
>();
}
KernelKey
kkey
(
KT
,
PlaceType
());
if
(
std
::
is_same
<
PlaceType
,
platform
::
CPUPlace
>::
value
)
{
// pool: (KernelKey(type, place), vector<GenCreatorPtr>)
auto
&
creator_map
=
JitCodeCreatorPool
().
Instance
().
AllCreators
();
auto
iter
=
creator_map
.
find
(
kkey
);
auto
&
creators
=
iter
->
second
;
for
(
auto
&
cur
:
creators
)
{
auto
i
=
dynamic_cast
<
const
JitCodeCreator
<
Attr
>*>
(
cur
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
p
=
i
->
CreateJitCode
(
attr
);
if
(
p
)
{
auto
f
=
p
->
template
getCode
<
Func
>();
codes
.
Insert
(
key
,
std
::
move
(
p
));
return
f
;
}
}
}
}
// pool: (KernelKey(type, place), vector<KernelPtr>)
auto
&
pool
=
KernelPool
().
Instance
().
AllKernels
();
auto
iter
=
pool
.
find
(
kkey
);
if
(
iter
!=
pool
.
end
())
{
auto
&
impls
=
iter
->
second
;
for
(
auto
&
impl
:
impls
)
{
auto
i
=
dynamic_cast
<
const
KernelImpl
<
T
,
Func
,
Attr
>*>
(
impl
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
return
i
->
GetFunc
();
}
}
}
// The last implementation should be reference function on CPUPlace.
return
GetRefer
<
KT
,
T
,
Func
,
Attr
>
();
}
}
// namespace jit
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/jit/kernel_base.h
浏览文件 @
d4cab7d9
...
...
@@ -22,7 +22,7 @@ namespace jit {
typedef
enum
{
vmul
=
0
,
vadd
=
1
,
vsub
,
vexp
}
KernelType
;
template
<
typename
T
>
struct
VMulT
yp
es
{
struct
VMulT
upl
es
{
typedef
T
data_type
;
typedef
int
attr_type
;
typedef
void
(
*
func_type
)(
const
T
*
,
const
T
*
,
T
*
,
int
);
...
...
paddle/fluid/operators/jit/kernel_pool.h
浏览文件 @
d4cab7d9
...
...
@@ -114,69 +114,6 @@ class ReferKernelPool {
DISABLE_COPY_AND_ASSIGN
(
ReferKernelPool
);
};
// Refer code do not related with attr, and always on CPUPlace
template
<
KernelType
KT
,
typename
T
,
typename
Func
,
typename
Attr
>
inline
Func
GetRefer
()
{
auto
&
ref_pool
=
ReferKernelPool
().
Instance
().
AllKernels
();
KernelKey
kkey
(
KT
,
platform
::
CPUPlace
());
auto
ref_iter
=
ref_pool
.
find
(
kkey
);
PADDLE_ENFORCE
(
ref_iter
!=
ref_pool
.
end
(),
"Every Kernel should have reference function."
);
auto
&
ref_impls
=
ref_iter
->
second
;
for
(
auto
&
impl
:
ref_impls
)
{
auto
i
=
dynamic_cast
<
const
ReferKernel
<
T
,
Func
,
Attr
>*>
(
impl
.
get
());
if
(
i
)
{
return
i
->
GetFunc
();
}
}
return
nullptr
;
}
template
<
KernelType
KT
,
typename
T
,
typename
Func
,
typename
Attr
,
typename
PlaceType
=
platform
::
CPUPlace
>
const
Func
Get
(
Attr
attr
)
{
size_t
key
=
JitCodeKey
<
Attr
>
(
attr
);
auto
&
codes
=
JitCodePool
<
KT
>
().
Instance
();
if
(
codes
.
Has
(
key
))
{
return
codes
.
AllKernels
().
at
(
key
)
->
template
getCode
<
Func
>();
}
KernelKey
kkey
(
KT
,
PlaceType
());
if
(
std
::
is_same
<
PlaceType
,
platform
::
CPUPlace
>::
value
)
{
// pool: (KernelKey(type, place), vector<GenCreatorPtr>)
auto
&
creator_map
=
JitCodeCreatorPool
().
Instance
().
AllCreators
();
auto
iter
=
creator_map
.
find
(
kkey
);
auto
&
creators
=
iter
->
second
;
for
(
auto
&
cur
:
creators
)
{
auto
i
=
dynamic_cast
<
const
JitCodeCreator
<
Attr
>*>
(
cur
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
p
=
i
->
CreateJitCode
(
attr
);
if
(
p
)
{
auto
f
=
p
->
template
getCode
<
Func
>();
codes
.
Insert
(
key
,
std
::
move
(
p
));
return
f
;
}
}
}
}
// pool: (KernelKey(type, place), vector<KernelPtr>)
auto
&
pool
=
KernelPool
().
Instance
().
AllKernels
();
auto
iter
=
pool
.
find
(
kkey
);
if
(
iter
!=
pool
.
end
())
{
auto
&
impls
=
iter
->
second
;
for
(
auto
&
impl
:
impls
)
{
auto
i
=
dynamic_cast
<
const
KernelImpl
<
T
,
Func
,
Attr
>*>
(
impl
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
return
i
->
GetFunc
();
}
}
}
// The last implementation should be reference function on CPUPlace.
return
GetRefer
<
KT
,
T
,
Func
,
Attr
>
();
}
}
// namespace jit
}
// namespace operators
}
// namespace paddle
paddle/fluid/operators/jit/more/CMakeLists.txt
浏览文件 @
d4cab7d9
function
(
USE_JITKERNEL_MORE TARGET TYPE
)
file
(
APPEND
${
jit_file
}
"USE_JITKERNEL_MORE(
${
TARGET
}
${
TYPE
}
);
\n
"
)
endfunction
()
if
(
WITH_MKLML
)
add_subdirectory
(
mkl
)
...
...
paddle/fluid/operators/jit/more/mkl/CMakeLists.txt
浏览文件 @
d4cab7d9
cc_library
(
jit_kernel_mkl SRCS mkl.cc DEPS jit_kernel_base dynload_mklml
)
set
(
JIT_KERNEL_DEPS
${
JIT_KERNEL_DEPS
}
dynload_mklml jit_kernel_mkl PARENT_SCOPE
)
# use mkl kernels by name and type
USE_JITKERNEL_MORE
(
vmul, mkl
)
paddle/fluid/operators/jit/more/mkl/mkl.h
浏览文件 @
d4cab7d9
...
...
@@ -28,8 +28,8 @@ template <typename T>
void
VMul
(
const
T
*
x
,
const
T
*
y
,
T
*
z
,
int
n
);
template
<
typename
T
>
class
VMulKernel
:
public
KernelImpl
<
T
,
typename
VMulT
yp
es
<
T
>::
func_type
,
typename
VMulT
yp
es
<
T
>::
attr_type
>
{
class
VMulKernel
:
public
KernelImpl
<
T
,
typename
VMulT
upl
es
<
T
>::
func_type
,
typename
VMulT
upl
es
<
T
>::
attr_type
>
{
public:
VMulKernel
()
{
this
->
func
=
VMul
<
T
>
;
}
bool
UseMe
(
int
d
)
const
override
{
...
...
paddle/fluid/operators/jit/refer/CMakeLists.txt
浏览文件 @
d4cab7d9
cc_library
(
jit_kernel_refer SRCS refer.cc DEPS jit_kernel_base
)
set
(
JIT_KERNEL_DEPS
${
JIT_KERNEL_DEPS
}
jit_kernel_refer PARENT_SCOPE
)
function
(
USE_JITKERNEL_REFER TARGET
)
file
(
APPEND
${
jit_file
}
"USE_JITKERNEL_REFER(
${
TARGET
}
);
\n
"
)
endfunction
()
# use refer kernel by name
USE_JITKERNEL_REFER
(
vmul
)
paddle/fluid/operators/jit/refer/refer.h
浏览文件 @
d4cab7d9
...
...
@@ -29,8 +29,8 @@ void VMul(const T* x, const T* y, T* z, int n) {
}
template
<
typename
T
>
class
VMulKernel
:
public
ReferKernel
<
T
,
typename
VMulT
yp
es
<
T
>::
func_type
,
typename
VMulT
yp
es
<
T
>::
attr_type
>
{
class
VMulKernel
:
public
ReferKernel
<
T
,
typename
VMulT
upl
es
<
T
>::
func_type
,
typename
VMulT
upl
es
<
T
>::
attr_type
>
{
public:
VMulKernel
()
{
this
->
func
=
VMul
<
T
>
;
}
};
...
...
paddle/fluid/operators/jit/test.cc
浏览文件 @
d4cab7d9
...
...
@@ -19,10 +19,7 @@
#include "gflags/gflags.h"
#include "glog/logging.h"
#include "gtest/gtest.h"
#include "paddle/fluid/operators/jit/kernel_pool.h"
// TODO(TJ): remove me
#include "paddle/fluid/operators/jit/registry.h"
#include "paddle/fluid/operators/jit/kernels.h"
#include "paddle/fluid/platform/place.h"
#include "paddle/fluid/platform/port.h"
...
...
@@ -58,11 +55,6 @@ void ExpectEQ(const T* target, const T* refer, int n) {
}
}
// TODO(TJ): remove me
USE_JITKERNEL_MORE
(
vmul
,
mkl
);
USE_JITKERNEL_REFER
(
vmul
);
USE_JITKERNEL_GEN
(
vmul
);
TEST
(
JitKernel
,
vmul
)
{
using
T
=
float
;
using
PlaceType
=
paddle
::
platform
::
CPUPlace
;
...
...
@@ -70,10 +62,10 @@ TEST(JitKernel, vmul) {
namespace
jit
=
paddle
::
operators
::
jit
;
// TODO(TJ): test more vector size
for
(
int
d
=
1
;
d
<
30
;
++
d
)
{
auto
ref
=
jit
::
GetRefer
<
jit
::
vmul
,
T
,
jit
::
VMulT
yp
es
<
T
>::
func_type
,
jit
::
VMulT
yp
es
<
T
>::
attr_type
>
();
auto
tgt
=
jit
::
Get
<
jit
::
vmul
,
T
,
jit
::
VMulT
yp
es
<
T
>::
func_type
,
jit
::
VMulT
yp
es
<
T
>::
attr_type
,
PlaceType
>
(
d
);
auto
ref
=
jit
::
GetRefer
<
jit
::
vmul
,
T
,
jit
::
VMulT
upl
es
<
T
>::
func_type
,
jit
::
VMulT
upl
es
<
T
>::
attr_type
>
();
auto
tgt
=
jit
::
Get
<
jit
::
vmul
,
T
,
jit
::
VMulT
upl
es
<
T
>::
func_type
,
jit
::
VMulT
upl
es
<
T
>::
attr_type
,
PlaceType
>
(
d
);
EXPECT_TRUE
(
ref
!=
nullptr
);
EXPECT_TRUE
(
tgt
!=
nullptr
);
...
...
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