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85d7f010
编写于
6月 25, 2018
作者:
Z
zhaojiaying01
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add vector matrix multiplication in Gemm
上级
1ec1582f
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
228 addition
and
1 deletion
+228
-1
src/memory/t_malloc.cpp
src/memory/t_malloc.cpp
+1
-1
src/operators/math/gemm.cpp
src/operators/math/gemm.cpp
+223
-0
src/operators/math/gemm.h
src/operators/math/gemm.h
+4
-0
未找到文件。
src/memory/t_malloc.cpp
浏览文件 @
85d7f010
...
@@ -20,7 +20,7 @@ limitations under the License. */
...
@@ -20,7 +20,7 @@ limitations under the License. */
namespace
paddle_mobile
{
namespace
paddle_mobile
{
namespace
memory
{
namespace
memory
{
const
int
MALLOC_ALIGN
=
16
;
const
int
MALLOC_ALIGN
=
64
;
void
Copy
(
void
*
dst
,
const
void
*
src
,
size_t
num
)
{
void
Copy
(
void
*
dst
,
const
void
*
src
,
size_t
num
)
{
std
::
memcpy
(
dst
,
src
,
num
);
std
::
memcpy
(
dst
,
src
,
num
);
...
...
src/operators/math/gemm.cpp
浏览文件 @
85d7f010
...
@@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
...
@@ -13,6 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License. */
limitations under the License. */
#include "operators/math/gemm.h"
#include "operators/math/gemm.h"
#include "common/log.h"
#include "memory/t_malloc.h"
#ifndef X86
#ifndef X86
#include <arm_neon.h>
#include <arm_neon.h>
#endif
#endif
...
@@ -757,6 +759,10 @@ void sgemm(int m, int n, int k, float alpha, const float *A, int lda,
...
@@ -757,6 +759,10 @@ void sgemm(int m, int n, int k, float alpha, const float *A, int lda,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
)
{
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
)
{
int
i
,
j
,
p
,
mc
,
nc
,
kc
;
int
i
,
j
,
p
,
mc
,
nc
,
kc
;
float
beta_
;
float
beta_
;
if
(
m
==
1
)
{
VectorKernel
(
1
,
n
,
k
,
alpha
,
A
,
lda
,
B
,
ldb
,
beta
,
C
,
ldc
);
return
;
}
for
(
j
=
0
;
j
<
n
;
j
+=
NC
)
{
for
(
j
=
0
;
j
<
n
;
j
+=
NC
)
{
nc
=
s_min
(
n
-
j
,
NC
);
nc
=
s_min
(
n
-
j
,
NC
);
for
(
p
=
0
;
p
<
k
;
p
+=
KC
)
{
for
(
p
=
0
;
p
<
k
;
p
+=
KC
)
{
...
@@ -803,6 +809,223 @@ void sgemm_relu(int m, int n, int k, float alpha, const float *A, int lda,
...
@@ -803,6 +809,223 @@ void sgemm_relu(int m, int n, int k, float alpha, const float *A, int lda,
}
}
}
}
void
VectorKernel
(
int
m
,
int
n
,
int
k
,
float
alpha
,
const
float
*
A
,
int
lda
,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
)
{
float
*
bufferC
=
static_cast
<
float
*>
(
memory
::
Alloc
(
sizeof
(
float
)
*
n
));
const
float
*
a0
,
*
b0
,
*
b1
,
*
b2
,
*
b3
;
float
*
c0
,
*
C0
;
int
volatile
kc1
=
k
/
4
;
int
volatile
kc2
=
k
%
4
;
int
volatile
nc1
=
n
/
16
;
int
_nc1
=
n
%
16
;
int
volatile
nc2
=
_nc1
/
4
;
int
volatile
nc3
=
_nc1
%
4
;
// DLOG << "GEMM VECTOR kc1 = " << kc1 << ", kc2 = " << kc2;
// DLOG << "GEMM VECTOR nc1 = " << nc1 << ", nc2 = " << nc2 << ", nc3 = " <<
// nc3;
for
(
int
i
=
0
;
i
<
kc1
;
i
++
)
{
a0
=
A
+
i
*
4
;
b0
=
B
+
i
*
4
*
ldb
;
b1
=
b0
+
ldb
;
b2
=
b1
+
ldb
;
b3
=
b2
+
ldb
;
c0
=
bufferC
;
asm
volatile
(
"pld [%[a0], #16]
\n\t
"
"vld1.32 {q0}, [%[a0]]
\n\t
"
"subs %[nc1], %[nc1], #1
\n\t
"
"blt end_nc1_%=
\n\t
"
"loop_nc1_%=:
\n\t
"
"cmp %[i], #0
\n\t
"
"beq i_eq0_%=
\n\t
"
"bne i_ne0_%=
\n\t
"
"i_eq0_%=:
\n\t
"
"vmov.f32 q10, #0.0
\n\t
"
"vmov.f32 q11, #0.0
\n\t
"
"vmov.f32 q12, #0.0
\n\t
"
"vmov.f32 q13, #0.0
\n\t
"
"b gemm_nc1_%=
\n\t
"
"i_ne0_%=:
\n\t
"
"pld [%[c0], #64]
\n\t
"
"vld1.32 {q10, q11}, [%[c0]]!
\n\t
"
"vld1.32 {q12, q13}, [%[c0]]
\n\t
"
"sub %[c0], %[c0], #32
\n\t
"
"gemm_nc1_%=:
\n\t
"
"pld [%[b0], #64]
\n\t
"
"vld1.32 {q2, q3}, [%[b0]]!
\n\t
"
"vld1.32 {q4, q5}, [%[b0]]!
\n\t
"
"vmla.f32 q10, q2, d0[0]
\n\t
"
"vmla.f32 q11, q3, d0[0]
\n\t
"
"vmla.f32 q12, q4, d0[0]
\n\t
"
"vmla.f32 q13, q5, d0[0]
\n\t
"
"pld [%[b1], #64]
\n\t
"
"vld1.32 {q2, q3}, [%[b1]]!
\n\t
"
"vld1.32 {q4, q5}, [%[b1]]!
\n\t
"
"vmla.f32 q10, q2, d0[1]
\n\t
"
"vmla.f32 q11, q3, d0[1]
\n\t
"
"vmla.f32 q12, q4, d0[1]
\n\t
"
"vmla.f32 q13, q5, d0[1]
\n\t
"
"pld [%[b2], #64]
\n\t
"
"vld1.32 {q2, q3}, [%[b2]]!
\n\t
"
"vld1.32 {q4, q5}, [%[b2]]!
\n\t
"
"vmla.f32 q10, q2, d1[0]
\n\t
"
"vmla.f32 q11, q3, d1[0]
\n\t
"
"vmla.f32 q12, q4, d1[0]
\n\t
"
"vmla.f32 q13, q5, d1[0]
\n\t
"
"pld [%[b3], #64]
\n\t
"
"vld1.32 {q2, q3}, [%[b3]]!
\n\t
"
"vld1.32 {q4, q5}, [%[b3]]!
\n\t
"
"vmla.f32 q10, q2, d1[1]
\n\t
"
"vmla.f32 q11, q3, d1[1]
\n\t
"
"vmla.f32 q12, q4, d1[1]
\n\t
"
"vmla.f32 q13, q5, d1[1]
\n\t
"
"vst1.32 {q10, q11}, [%[c0]]!
\n\t
"
"vst1.32 {q12, q13}, [%[c0]]!
\n\t
"
"subs %[nc1], %[nc1], #1
\n\t
"
"bge loop_nc1_%=
\n\t
"
"end_nc1_%=:
\n\t
"
"subs %[nc2], %[nc2], #1
\n\t
"
"blt end_nc2_%=
\n\t
"
"loop_nc2_%=:
\n\t
"
"cmp %[i], #0
\n\t
"
"beq ii_eq0_%=
\n\t
"
"bne ii_ne0_%=
\n\t
"
"ii_eq0_%=:
\n\t
"
"vmov.f32 q10, #0.0
\n\t
"
"b gemm_nc2_%=
\n\t
"
"ii_ne0_%=:
\n\t
"
"pld [%[c0], #16]
\n\t
"
"vld1.32 {q10}, [%[c0]]
\n\t
"
"gemm_nc2_%=:
\n\t
"
"pld [%[b0], #16]
\n\t
"
"vld1.32 {q2}, [%[b0]]!
\n\t
"
"vmla.f32 q10, q2, d0[0]
\n\t
"
"pld [%[b1], #16]
\n\t
"
"vld1.32 {q3}, [%[b1]]!
\n\t
"
"vmla.f32 q10, q3, d0[1]
\n\t
"
"pld [%[b2], #16]
\n\t
"
"vld1.32 {q4}, [%[b2]]!
\n\t
"
"vmla.f32 q10, q4, d1[0]
\n\t
"
"pld [%[b3], #16]
\n\t
"
"vld1.32 {q5}, [%[b3]]!
\n\t
"
"vmla.f32 q10, q5, d1[1]
\n\t
"
"vst1.32 {q10}, [%[c0]]!
\n\t
"
"subs %[nc2], %[nc2], #1
\n\t
"
"bge loop_nc2_%=
\n\t
"
"end_nc2_%=:
\n\t
"
:
[
b0
]
"+r"
(
b0
),
[
b1
]
"+r"
(
b1
),
[
b2
]
"+r"
(
b2
),
[
b3
]
"+r"
(
b3
),
[
c0
]
"+r"
(
c0
)
:
[
a0
]
"r"
(
a0
),
[
i
]
"r"
(
i
),
[
nc1
]
"r"
(
nc1
),
[
nc2
]
"r"
(
nc2
)
:
"memory"
,
"q0"
,
"q2"
,
"q3"
,
"q4"
,
"q5"
,
"q10"
,
"q11"
,
"q12"
,
"q13"
);
for
(
int
j
=
0
;
j
<
nc3
;
j
++
)
{
if
(
i
==
0
)
{
*
c0
=
(
*
a0
)
*
(
*
b0
++
);
}
else
{
*
c0
+=
(
*
a0
)
*
(
*
b0
++
);
}
*
c0
+=
(
*
(
a0
+
1
))
*
(
*
b1
++
);
*
c0
+=
(
*
(
a0
+
2
))
*
(
*
b2
++
);
*
c0
+=
(
*
(
a0
+
3
))
*
(
*
b3
++
);
c0
++
;
}
}
for
(
int
i
=
0
;
i
<
kc2
;
++
i
)
{
a0
=
A
+
4
*
kc1
+
i
;
b0
=
B
+
(
4
*
kc1
+
i
)
*
ldb
;
c0
=
bufferC
;
asm
volatile
(
"pld [%[a0], #16]
\n\t
"
"vld1.32 {d0}, [%[a0]]
\n\t
"
"subs %[nc1], %[nc1], #1
\n\t
"
"blt end_nc1_%=
\n\t
"
"loop_nc1_%=:
\n\t
"
"pld [%[c0], #64]
\n\t
"
"vld1.32 {q10, q11}, [%[c0]]!
\n\t
"
"vld1.32 {q12, q13}, [%[c0]]
\n\t
"
"sub %[c0], %[c0], #32
\n\t
"
"gemm_nc1_%=:
\n\t
"
"pld [%[b0], #64]
\n\t
"
"vld1.32 {q2, q3}, [%[b0]]!
\n\t
"
"vld1.32 {q4, q5}, [%[b0]]!
\n\t
"
"vmla.f32 q10, q2, d0[0]
\n\t
"
"vmla.f32 q11, q3, d0[0]
\n\t
"
"vmla.f32 q12, q4, d0[0]
\n\t
"
"vmla.f32 q13, q5, d0[0]
\n\t
"
"vst1.32 {q10, q11}, [%[c0]]!
\n\t
"
"vst1.32 {q12, q13}, [%[c0]]!
\n\t
"
"subs %[nc1], %[nc1], #1
\n\t
"
"bge loop_nc1_%=
\n\t
"
"end_nc1_%=:
\n\t
"
"subs %[nc2], %[nc2], #1
\n\t
"
"blt end_nc2_%=
\n\t
"
"loop_nc2_%=:
\n\t
"
"pld [%[c0], #16]
\n\t
"
"vld1.32 {q10}, [%[c0]]
\n\t
"
"gemm_nc2_%=:
\n\t
"
"vld1.32 {q2}, [%[b0]]!
\n\t
"
"vmla.f32 q10, q2, d0[0]
\n\t
"
"vst1.32 {q10}, [%[c0]]!
\n\t
"
"subs %[nc2], %[nc2], #1
\n\t
"
"bge loop_nc2_%=
\n\t
"
"end_nc2_%=:
\n\t
"
:
[
b0
]
"+r"
(
b0
),
[
b1
]
"+r"
(
b1
),
[
b2
]
"+r"
(
b2
),
[
b3
]
"+r"
(
b3
),
[
c0
]
"+r"
(
c0
)
:
[
a0
]
"r"
(
a0
),
[
nc1
]
"r"
(
nc1
),
[
nc2
]
"r"
(
nc2
)
:
"memory"
,
"q0"
,
"q2"
,
"q3"
,
"q4"
,
"q5"
,
"q10"
,
"q11"
,
"q12"
,
"q13"
);
for
(
int
j
=
0
;
j
<
nc3
;
j
++
)
{
*
c0
+=
(
*
a0
)
*
(
*
b0
++
);
c0
++
;
}
}
c0
=
bufferC
;
C0
=
C
;
for
(
int
i
=
0
;
i
<
n
;
i
++
)
{
if
(
beta
==
1.0
)
{
*
C0
++
+=
*
c0
++
;
}
else
{
*
C0
++
=
*
c0
++
;
}
}
}
}
// namespace math
}
// namespace math
}
// namespace operators
}
// namespace operators
}
// namespace paddle_mobile
}
// namespace paddle_mobile
src/operators/math/gemm.h
浏览文件 @
85d7f010
...
@@ -53,6 +53,10 @@ void InnerKernel(int m, int n, int k, float alpha, const float *A, int lda,
...
@@ -53,6 +53,10 @@ void InnerKernel(int m, int n, int k, float alpha, const float *A, int lda,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
,
int
first_time
);
int
first_time
);
// 向量矩阵乘法 (M = 1)
void
VectorKernel
(
int
m
,
int
n
,
int
k
,
float
alpha
,
const
float
*
A
,
int
lda
,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
);
// 计算一个更小的 4 * 4 的 C 矩阵分块
// 计算一个更小的 4 * 4 的 C 矩阵分块
void
AddDot4x4
(
int
k
,
float
alpha
,
const
float
*
A
,
int
lda
,
const
float
*
B
,
void
AddDot4x4
(
int
k
,
float
alpha
,
const
float
*
A
,
int
lda
,
const
float
*
B
,
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
,
int
mc
,
int
nc
);
int
ldb
,
float
beta
,
float
*
C
,
int
ldc
,
int
mc
,
int
nc
);
...
...
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