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382307b9
编写于
11月 07, 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
refine code
test=develop
上级
25e070ec
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
65 addition
and
81 deletion
+65
-81
paddle/fluid/operators/math/jit_code.cc
paddle/fluid/operators/math/jit_code.cc
+22
-43
paddle/fluid/operators/math/jit_code.h
paddle/fluid/operators/math/jit_code.h
+21
-29
paddle/fluid/operators/math/jit_kernel_blas.cc
paddle/fluid/operators/math/jit_kernel_blas.cc
+22
-9
未找到文件。
paddle/fluid/operators/math/jit_code.cc
浏览文件 @
382307b9
...
...
@@ -24,51 +24,14 @@ namespace gen {
using
namespace
platform
::
jit
;
// NOLINT
bool
V
Mul
JitCode
::
init
(
int
d
)
{
bool
V
VV
JitCode
::
init
(
int
d
)
{
// It's not necessary to use avx512 since it would slow down the frequency
// and this kernel is not compute bound.
return
MayIUse
(
avx
);
}
void
V
Mul
JitCode
::
generate
()
{
void
V
VV
JitCode
::
generate
()
{
// do not need push stack, and do not need save avx512reg if do not use avx512
int
offset
=
0
;
for
(
int
i
=
0
;
i
<
num_
/
AVX_FLOAT_BLOCK
;
++
i
)
{
vmovups
(
ymm_src1
,
ptr
[
param1
+
offset
]);
vmovups
(
ymm_src2
,
ptr
[
param2
+
offset
]);
vmulps
(
ymm_dst
,
ymm_src1
,
ymm_src2
);
vmovups
(
ptr
[
param3
+
offset
],
ymm_dst
);
offset
+=
sizeof
(
float
)
*
AVX_FLOAT_BLOCK
;
}
int
rest
=
num_
%
AVX_FLOAT_BLOCK
;
if
(
rest
>=
4
)
{
vmovups
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovups
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vmulps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
vmovups
(
ptr
[
param3
+
offset
],
xmm_dst
);
offset
+=
sizeof
(
float
)
*
4
;
rest
-=
4
;
}
if
(
rest
>=
2
)
{
vmovq
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovq
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vmulps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
vmovq
(
ptr
[
param3
+
offset
],
xmm_dst
);
offset
+=
sizeof
(
float
)
*
2
;
rest
-=
2
;
}
if
(
rest
>
0
)
{
vmovss
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovss
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vmulss
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
vmovss
(
ptr
[
param3
+
offset
],
xmm_dst
);
}
ret
();
}
bool
VAddJitCode
::
init
(
int
d
)
{
return
MayIUse
(
avx
);
}
void
VAddJitCode
::
generate
()
{
int
offset
=
0
;
if
(
with_relu_
)
{
vxorps
(
ymm_zero
,
ymm_zero
,
ymm_zero
);
...
...
@@ -76,7 +39,11 @@ void VAddJitCode::generate() {
for
(
int
i
=
0
;
i
<
num_
/
AVX_FLOAT_BLOCK
;
++
i
)
{
vmovups
(
ymm_src1
,
ptr
[
param1
+
offset
]);
vmovups
(
ymm_src2
,
ptr
[
param2
+
offset
]);
vaddps
(
ymm_dst
,
ymm_src1
,
ymm_src2
);
if
(
type_
==
operand_type
::
mul
)
{
vmulps
(
ymm_dst
,
ymm_src1
,
ymm_src2
);
}
else
if
(
type_
==
operand_type
::
add
)
{
vaddps
(
ymm_dst
,
ymm_src1
,
ymm_src2
);
}
if
(
with_relu_
)
{
vmaxps
(
ymm_dst
,
ymm_zero
,
ymm_dst
);
}
...
...
@@ -87,7 +54,11 @@ void VAddJitCode::generate() {
if
(
rest
>=
4
)
{
vmovups
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovups
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vaddps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
if
(
type_
==
operand_type
::
mul
)
{
vmulps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
else
if
(
type_
==
operand_type
::
add
)
{
vaddps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
if
(
with_relu_
)
{
vmaxps
(
xmm_dst
,
xmm_zero
,
xmm_dst
);
}
...
...
@@ -98,7 +69,11 @@ void VAddJitCode::generate() {
if
(
rest
>=
2
)
{
vmovq
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovq
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vaddps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
if
(
type_
==
operand_type
::
mul
)
{
vmulps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
else
if
(
type_
==
operand_type
::
add
)
{
vaddps
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
if
(
with_relu_
)
{
vmaxps
(
xmm_dst
,
xmm_zero
,
xmm_dst
);
}
...
...
@@ -109,7 +84,11 @@ void VAddJitCode::generate() {
if
(
rest
>
0
)
{
vmovss
(
xmm_src1
,
ptr
[
param1
+
offset
]);
vmovss
(
xmm_src2
,
ptr
[
param2
+
offset
]);
vaddss
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
if
(
type_
==
operand_type
::
mul
)
{
vmulss
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
else
if
(
type_
==
operand_type
::
add
)
{
vaddss
(
xmm_dst
,
xmm_src1
,
xmm_src2
);
}
if
(
with_relu_
)
{
vmaxps
(
xmm_dst
,
xmm_zero
,
xmm_dst
);
}
...
...
paddle/fluid/operators/math/jit_code.h
浏览文件 @
382307b9
...
...
@@ -14,8 +14,8 @@ limitations under the License. */
#pragma once
#include <string>
#include "paddle/fluid/operators/math/jit_gen.h"
namespace
paddle
{
namespace
operators
{
namespace
math
{
...
...
@@ -29,41 +29,33 @@ using ymm_t = const Xbyak::Ymm;
using
zmm_t
=
const
Xbyak
::
Zmm
;
using
Label
=
Xbyak
::
Label
;
class
VMulJitCode
:
public
JitCode
{
public:
DECLARE_JIT_CODE
(
VMulJitCode
);
explicit
VMulJitCode
(
int
d
,
size_t
code_size
=
256
*
1024
,
void
*
code_ptr
=
nullptr
)
:
JitCode
(
code_size
,
code_ptr
),
num_
(
d
)
{}
static
bool
init
(
int
d
);
void
generate
()
override
;
private:
int
num_
;
reg64_t
param1
{
abi_param1
};
reg64_t
param2
{
abi_param2
};
reg64_t
param3
{
abi_param3
};
xmm_t
xmm_src1
=
xmm_t
(
0
);
xmm_t
xmm_src2
=
xmm_t
(
1
);
xmm_t
xmm_dst
=
xmm_t
(
1
);
ymm_t
ymm_src1
=
ymm_t
(
0
);
ymm_t
ymm_src2
=
ymm_t
(
1
);
ymm_t
ymm_dst
=
ymm_t
(
1
);
};
// function: vec = Operand(vec, vec) (maybe with relu)
typedef
enum
{
mul
=
0
,
add
}
operand_type
;
class
V
Add
JitCode
:
public
JitCode
{
class
V
VV
JitCode
:
public
JitCode
{
public:
DECLARE_JIT_CODE
(
VAddJitCode
);
explicit
VAddJitCode
(
int
d
,
bool
with_relu
,
size_t
code_size
=
256
*
1024
,
void
*
code_ptr
=
nullptr
)
:
JitCode
(
code_size
,
code_ptr
),
num_
(
d
),
with_relu_
(
with_relu
)
{}
const
char
*
name
()
const
override
{
std
::
string
base
=
"VVVJitCode"
;
if
(
type_
==
operand_type
::
mul
)
{
base
+=
"_Mul"
;
}
else
if
(
type_
==
operand_type
::
add
)
{
base
+=
"_Add"
;
}
base
+=
(
with_relu_
?
"_relu"
:
""
);
return
base
.
c_str
();
}
explicit
VVVJitCode
(
int
d
,
operand_type
type
,
bool
with_relu
,
size_t
code_size
=
256
*
1024
,
void
*
code_ptr
=
nullptr
)
:
JitCode
(
code_size
,
code_ptr
),
num_
(
d
),
type_
(
type
),
with_relu_
(
with_relu
)
{}
static
bool
init
(
int
d
);
void
generate
()
override
;
private:
int
num_
;
operand_type
type_
;
bool
with_relu_
;
reg64_t
param1
{
abi_param1
};
reg64_t
param2
{
abi_param2
};
...
...
paddle/fluid/operators/math/jit_kernel_blas.cc
浏览文件 @
382307b9
...
...
@@ -102,7 +102,8 @@ class VMulKernelImpl : public VMulKernel<T> {
if
(
useJIT
(
d
))
{
// roughly estimate the size of code
size_t
sz
=
96
+
d
/
AVX_FLOAT_BLOCK
*
4
*
8
;
jitcode_
.
reset
(
new
gen
::
VMulJitCode
(
d
,
sz
>
4096
?
sz
:
4096
));
jitcode_
.
reset
(
new
gen
::
VVVJitCode
(
d
,
gen
::
operand_type
::
mul
,
false
,
sz
>
4096
?
sz
:
4096
));
this
->
Compute
=
jitcode_
->
getCode
<
void
(
*
)(
const
T
*
,
const
T
*
,
T
*
,
int
)
>
();
return
;
...
...
@@ -120,14 +121,14 @@ class VMulKernelImpl : public VMulKernel<T> {
#ifdef PADDLE_WITH_XBYAK
private:
std
::
unique_ptr
<
gen
::
V
Mul
JitCode
>
jitcode_
{
nullptr
};
std
::
unique_ptr
<
gen
::
V
VV
JitCode
>
jitcode_
{
nullptr
};
#endif
};
#ifdef PADDLE_WITH_XBYAK
template
<
>
bool
VMulKernelImpl
<
float
>::
useJIT
(
int
d
)
{
return
gen
::
V
Mul
JitCode
::
init
(
d
);
return
gen
::
V
VV
JitCode
::
init
(
d
);
}
#endif
...
...
@@ -149,13 +150,16 @@ class VAddKernelImpl : public VAddKernel<T> {
public:
DECLARE_STATIC_FUNC
;
explicit
VAddKernelImpl
(
int
d
)
:
VAddKernel
<
T
>
()
{
#ifdef PADDLE_WITH_XBYAK
if
(
useJIT
(
d
))
{
size_t
sz
=
96
+
d
/
AVX_FLOAT_BLOCK
*
4
*
8
;
jitcode_
.
reset
(
new
gen
::
VAddJitCode
(
d
,
false
,
sz
>
4096
?
sz
:
4096
));
jitcode_
.
reset
(
new
gen
::
VVVJitCode
(
d
,
gen
::
operand_type
::
add
,
false
,
sz
>
4096
?
sz
:
4096
));
this
->
Compute
=
jitcode_
->
getCode
<
void
(
*
)(
const
T
*
,
const
T
*
,
T
*
,
int
)
>
();
return
;
}
#endif
#ifdef PADDLE_WITH_MKLML
if
(
useMKL
(
d
))
{
this
->
Compute
=
VAddMKL
<
T
>
;
...
...
@@ -166,14 +170,17 @@ class VAddKernelImpl : public VAddKernel<T> {
}
private:
std
::
unique_ptr
<
gen
::
V
Add
JitCode
>
jitcode_
{
nullptr
};
std
::
unique_ptr
<
gen
::
V
VV
JitCode
>
jitcode_
{
nullptr
};
};
#ifdef PADDLE_WITH_XBYAK
template
<
>
bool
VAddKernelImpl
<
float
>::
useJIT
(
int
d
)
{
return
gen
::
V
Add
JitCode
::
init
(
d
);
return
gen
::
V
VV
JitCode
::
init
(
d
);
}
#endif
#ifdef PADDLE_WITH_MKLML
template
<
>
bool
VAddKernelImpl
<
float
>::
useMKL
(
int
d
)
{
return
d
>
512
;
...
...
@@ -183,6 +190,7 @@ template <>
bool
VAddKernelImpl
<
double
>::
useMKL
(
int
d
)
{
return
true
;
}
#endif
/* VAddRelu JitKernel */
template
<
typename
T
>
...
...
@@ -190,24 +198,29 @@ class VAddReluKernelImpl : public VAddReluKernel<T> {
public:
DECLARE_STATIC_FUNC
;
explicit
VAddReluKernelImpl
(
int
d
)
:
VAddReluKernel
<
T
>
()
{
#ifdef PADDLE_WITH_XBYAK
if
(
useJIT
(
d
))
{
size_t
sz
=
96
+
d
/
AVX_FLOAT_BLOCK
*
4
*
8
;
jitcode_
.
reset
(
new
gen
::
VAddJitCode
(
d
,
true
,
sz
>
4096
?
sz
:
4096
));
jitcode_
.
reset
(
new
gen
::
VVVJitCode
(
d
,
gen
::
operand_type
::
add
,
true
,
sz
>
4096
?
sz
:
4096
));
this
->
Compute
=
jitcode_
->
getCode
<
void
(
*
)(
const
T
*
,
const
T
*
,
T
*
,
int
)
>
();
return
;
}
#endif
this
->
Compute
=
VAddReluRefer
<
T
>
;
}
private:
std
::
unique_ptr
<
gen
::
V
Add
JitCode
>
jitcode_
{
nullptr
};
std
::
unique_ptr
<
gen
::
V
VV
JitCode
>
jitcode_
{
nullptr
};
};
#ifdef PADDLE_WITH_XBYAK
template
<
>
bool
VAddReluKernelImpl
<
float
>::
useJIT
(
int
d
)
{
return
gen
::
V
Add
JitCode
::
init
(
d
);
return
gen
::
V
VV
JitCode
::
init
(
d
);
}
#endif
#undef DECLARE_STATIC_FUNC
...
...
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