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663d0fd4
编写于
6月 13, 2018
作者:
W
WangLiu
提交者:
GitHub
6月 13, 2018
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差异文件
Merge pull request #410 from codeWorm2015/develop
fix
#409
add relu assembler implementation
上级
f081977d
d5edcc16
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
73 addition
and
10 deletion
+73
-10
CMakeLists.txt
CMakeLists.txt
+6
-1
src/operators/kernel/arm/relu_kernel.cpp
src/operators/kernel/arm/relu_kernel.cpp
+64
-6
test/net/test_googlenet.cpp
test/net/test_googlenet.cpp
+3
-3
未找到文件。
CMakeLists.txt
浏览文件 @
663d0fd4
...
...
@@ -4,7 +4,8 @@ project(paddle-mobile)
option
(
DEBUGING
"enable debug mode"
ON
)
option
(
USE_OPENMP
"openmp support"
OFF
)
option
(
USE_EXCEPTION
"use std exception"
ON
)
option
(
LOG_PROFILE
"log profile"
ON
)
# select the platform to build
option
(
CPU
"cpu"
ON
)
option
(
MALI_GPU
"mali gpu"
OFF
)
option
(
FPGA
"fpga"
OFF
)
...
...
@@ -45,6 +46,10 @@ else()
add_definitions
(
-fno-exceptions
)
endif
()
if
(
LOG_PROFILE
)
add_definitions
(
-DPADDLE_MOBILE_PROFILE
)
endif
()
if
(
IS_MAC
)
add_definitions
(
-DX86
)
elseif
(
IS_IOS
)
...
...
src/operators/kernel/arm/relu_kernel.cpp
浏览文件 @
663d0fd4
...
...
@@ -37,13 +37,71 @@ void ReluKernel<CPU, float>::Compute(const ReluParam ¶m) const {
auto
*
out
=
param
.
Out
();
auto
*
out_ptr
=
out
->
mutable_data
<
float
>
();
ReluFunctor
<
float
>
func_
;
math
::
Transform
trans
;
trans
(
input_x_ptr
,
input_x_ptr
+
input_x
->
numel
(),
out_ptr
,
func_
);
int
numel
=
input_x
->
numel
();
if
(
numel
>
32
)
{
asm
volatile
(
"pld [%[input_x_ptr], #0]
\n\t
"
"vmov.f32 q8, #0.0
\n\t
"
"subs %[num], %[num], #32
\n\t
"
"blt end_num_%=
\n\t
"
"loop_num_%=:
\n\t
"
"pld [%[input_x_ptr], #1024]
\n\t
"
// for (int i = 0; i < input_x->numel(); i++) {
// out_ptr[i] = input_x_ptr[i] > 0 ? input_x_ptr[i] : 0;
// }
"vld1.32 {q0, q1}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q2, q3}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q4, q5}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q6, q7}, [%[input_x_ptr]]!
\n\t
"
"vmax.f32 q0, q0, q8
\n\t
"
"vmax.f32 q1, q1, q8
\n\t
"
"vmax.f32 q2, q2, q8
\n\t
"
"vmax.f32 q3, q3, q8
\n\t
"
"vmax.f32 q4, q4, q8
\n\t
"
"vmax.f32 q5, q5, q8
\n\t
"
"vmax.f32 q6, q6, q8
\n\t
"
"vmax.f32 q7, q7, q8
\n\t
"
"vst1.32 {q0, q1}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q2, q3}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q4, q5}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q6, q7}, [%[out_ptr]]!
\n\t
"
"subs %[num], %[num], #32
\n\t
"
"bge loop_num_%=
\n\t
"
"end_num_%=:
\n\t
"
"cmp %[num], #0
\n\t
"
"bge end_%=
\n\t
"
"mov r6, #4
\n\t
"
"mul r5, %[num], r6
\n\t
"
"add %[input_x_ptr], %[input_x_ptr], r5
\n\t
"
"vld1.32 {q0, q1}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q2, q3}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q4, q5}, [%[input_x_ptr]]!
\n\t
"
"vld1.32 {q6, q7}, [%[input_x_ptr]]!
\n\t
"
"vmax.f32 q0, q0, q8
\n\t
"
"vmax.f32 q1, q1, q8
\n\t
"
"vmax.f32 q2, q2, q8
\n\t
"
"vmax.f32 q3, q3, q8
\n\t
"
"vmax.f32 q4, q4, q8
\n\t
"
"vmax.f32 q5, q5, q8
\n\t
"
"vmax.f32 q6, q6, q8
\n\t
"
"vmax.f32 q7, q7, q8
\n\t
"
"add %[out_ptr], %[out_ptr], r5
\n\t
"
"vst1.32 {q0, q1}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q2, q3}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q4, q5}, [%[out_ptr]]!
\n\t
"
"vst1.32 {q6, q7}, [%[out_ptr]]!
\n\t
"
"end_%=:
\n\t
"
:
:
[
out_ptr
]
"r"
(
out_ptr
),
[
input_x_ptr
]
"r"
(
input_x_ptr
),
[
num
]
"r"
(
numel
)
:
"memory"
,
"q0"
,
"q1"
,
"q2"
,
"q3"
,
"q4"
,
"q5"
,
"q6"
,
"q7"
,
"q8"
,
"r5"
,
"r6"
);
}
else
{
ReluFunctor
<
float
>
func_
;
math
::
Transform
trans
;
trans
(
input_x_ptr
,
input_x_ptr
+
numel
,
out_ptr
,
func_
);
}
}
}
// namespace operators
}
// namespace paddle_mobile
...
...
test/net/test_googlenet.cpp
浏览文件 @
663d0fd4
...
...
@@ -20,9 +20,9 @@ int main() {
paddle_mobile
::
Loader
<
paddle_mobile
::
CPU
>
loader
;
bool
optimize
=
false
;
auto
time1
=
time
();
//
auto program = loader.Load(g_googlenet, optimize);
auto
program
=
loader
.
Load
(
g_googlenet_combine
+
"/model"
,
g_googlenet_combine
+
"/params"
,
optimize
);
auto
program
=
loader
.
Load
(
g_googlenet
,
optimize
);
//
auto program = loader.Load(g_googlenet_combine + "/model",
//
g_googlenet_combine + "/params", optimize);
auto
time2
=
time
();
DLOG
<<
"load cost :"
<<
time_diff
(
time1
,
time2
)
<<
"ms
\n
"
;
paddle_mobile
::
Executor
<
paddle_mobile
::
CPU
>
executor
(
program
,
1
,
optimize
);
...
...
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