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7eb4a391
编写于
7月 07, 2020
作者:
H
HappyAngel
提交者:
GitHub
7月 07, 2020
浏览文件
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电子邮件补丁
差异文件
improve pooling speed in gaze model. (#3881)
* improve pooling speed in gaze. test=develoop * fix format test=develop
上级
6d787479
变更
3
展开全部
隐藏空白更改
内联
并排
Showing
3 changed file
with
542 addition
and
128 deletion
+542
-128
lite/backends/arm/math/pooling.cc
lite/backends/arm/math/pooling.cc
+435
-76
lite/backends/arm/math/pooling.h
lite/backends/arm/math/pooling.h
+49
-24
lite/kernels/arm/pool_compute.cc
lite/kernels/arm/pool_compute.cc
+58
-28
未找到文件。
lite/backends/arm/math/pooling.cc
浏览文件 @
7eb4a391
此差异已折叠。
点击以展开。
lite/backends/arm/math/pooling.h
浏览文件 @
7eb4a391
...
...
@@ -76,30 +76,55 @@ void pooling1x1s2p0_max(const float* din,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2_max
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2_avg
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
bool
exclusive
,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2p0_max
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2p0_avg
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
bool
exclusive
,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2p1_max
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
int
pad_bottom
,
int
pad_right
);
void
pooling2x2s2p1_avg
(
const
float
*
din
,
float
*
dout
,
int
num
,
int
chout
,
int
hout
,
int
wout
,
int
chin
,
int
hin
,
int
win
,
bool
exclusive
,
int
pad_bottom
,
int
pad_right
);
void
pooling3x3s1p1_max
(
const
float
*
din
,
float
*
dout
,
...
...
lite/kernels/arm/pool_compute.cc
浏览文件 @
7eb4a391
...
...
@@ -58,6 +58,7 @@ void PoolCompute::Run() {
bool
global_pooling
=
(
paddings
[
0
]
==
0
)
&&
(
ksize
[
0
]
==
in_dims
[
2
])
&&
(
ksize
[
1
]
==
in_dims
[
3
])
&&
kps_equal
&&
pads_equal
;
global_pooling
=
param
.
global_pooling
||
global_pooling
;
if
(
global_pooling
)
{
for
(
size_t
i
=
0
;
i
<
ksize
.
size
();
++
i
)
{
paddings
[
2
*
i
]
=
0
;
...
...
@@ -107,35 +108,65 @@ void PoolCompute::Run() {
}
else
if
(
ksize
[
0
]
==
2
&&
strides
[
0
]
==
2
&&
paddings
[
0
]
==
0
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling2x2s2_max
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
paddings
[
1
],
paddings
[
3
]);
lite
::
arm
::
math
::
pooling2x2s2
p0
_max
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
paddings
[
1
],
paddings
[
3
]);
return
;
}
else
if
(
pooling_type
==
"avg"
)
{
lite
::
arm
::
math
::
pooling2x2s2_avg
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
exclusive
,
paddings
[
1
],
paddings
[
3
]);
lite
::
arm
::
math
::
pooling2x2s2
p0
_avg
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
exclusive
,
paddings
[
1
],
paddings
[
3
]);
return
;
}
}
else
if
(
ksize
[
0
]
==
3
&&
strides
[
0
]
==
1
&&
paddings
[
0
]
==
1
&&
}
else
if
(
ksize
[
0
]
==
2
&&
strides
[
0
]
==
2
&&
paddings
[
0
]
==
1
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling2x2s2p1_max
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
paddings
[
1
],
paddings
[
3
]);
return
;
}
else
if
(
pooling_type
==
"avg"
)
{
lite
::
arm
::
math
::
pooling2x2s2p1_avg
(
din
,
dout
,
out_dims
[
0
],
out_dims
[
1
],
out_dims
[
2
],
out_dims
[
3
],
in_dims
[
1
],
in_dims
[
2
],
in_dims
[
3
],
exclusive
,
paddings
[
1
],
paddings
[
3
]);
return
;
}
}
else
if
(
ksize
[
0
]
==
3
&&
strides
[
0
]
==
1
&&
paddings
[
0
]
==
1
&&
pads_equal
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling3x3s1p1_max
(
din
,
dout
,
...
...
@@ -165,7 +196,7 @@ void PoolCompute::Run() {
return
;
}
}
else
if
(
ksize
[
0
]
==
3
&&
strides
[
0
]
==
1
&&
paddings
[
0
]
==
0
&&
kps_equal
)
{
pads_equal
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling3x3s1p0_max
(
din
,
dout
,
...
...
@@ -195,7 +226,7 @@ void PoolCompute::Run() {
return
;
}
}
else
if
(
ksize
[
0
]
==
3
&&
strides
[
0
]
==
2
&&
paddings
[
0
]
==
0
&&
kps_equal
)
{
pads_equal
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling3x3s2p0_max
(
din
,
dout
,
...
...
@@ -225,7 +256,7 @@ void PoolCompute::Run() {
return
;
}
}
else
if
(
ksize
[
0
]
==
3
&&
strides
[
0
]
==
2
&&
paddings
[
0
]
==
1
&&
kps_equal
)
{
pads_equal
&&
kps_equal
)
{
if
(
pooling_type
==
"max"
)
{
lite
::
arm
::
math
::
pooling3x3s2p1_max
(
din
,
dout
,
...
...
@@ -276,7 +307,6 @@ void PoolCompute::Run() {
use_quantizer
,
pooling_type
);
}
}
// namespace arm
}
// namespace kernels
}
// namespace lite
...
...
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