Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle-Lite
提交
bc2231e4
P
Paddle-Lite
项目概览
PaddlePaddle
/
Paddle-Lite
通知
331
Star
4
Fork
1
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
271
列表
看板
标记
里程碑
合并请求
78
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle-Lite
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
271
Issue
271
列表
看板
标记
里程碑
合并请求
78
合并请求
78
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
未验证
提交
bc2231e4
编写于
6月 15, 2018
作者:
R
Ruilong Liu
提交者:
GitHub
6月 15, 2018
浏览文件
操作
浏览文件
下载
差异文件
Merge pull request #429 from Eclipsess/develop
fix
#428
optimize im2col
上级
654d04e2
f328e182
变更
2
显示空白变更内容
内联
并排
Showing
2 changed file
with
351 addition
and
7 deletion
+351
-7
src/operators/math/im2col.cpp
src/operators/math/im2col.cpp
+347
-3
tools/run.sh
tools/run.sh
+4
-4
未找到文件。
src/operators/math/im2col.cpp
浏览文件 @
bc2231e4
...
...
@@ -14,8 +14,10 @@ limitations under the License. */
#include "operators/math/im2col.h"
#include <vector>
#ifdef __ARM_NEON
#include "arm_neon.h"
#endif
#include "common/types.h"
namespace
paddle_mobile
{
namespace
operators
{
namespace
math
{
...
...
@@ -65,9 +67,350 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
// are " "inconsistent.");
int
channels_col
=
im_channels
*
filter_height
*
filter_width
;
const
T
*
im_data
=
im
.
data
<
T
>
();
T
*
col_data
=
col
->
data
<
T
>
();
#ifdef __ARM_NEON
const
int
osize
=
col_height
;
const
int
isize
=
im_height
;
bool
pad1
=
padding
[
0
]
>
0
;
bool
pad2
=
(
pad1
&&
(((
isize
-
2
*
padding
[
0
]
+
filter_height
)
%
stride
[
0
]
==
0
)
?
1
:
0
));
int
fill
=
isize
%
2
;
if
(
stride
[
0
]
==
1
&&
filter_height
==
3
&&
pad1
&&
pad2
&&
dilation
[
0
]
==
1
)
{
for
(
int
c
=
0
;
c
<
im_channels
;
++
c
)
{
int
oosize
=
osize
*
osize
;
int
nk4
=
osize
/
4
;
int
mk4
=
osize
%
4
;
float
*
col0
=
col_data
+
0
*
oosize
+
2
*
osize
+
2
;
float
*
col1
=
col_data
+
1
*
oosize
+
2
*
osize
+
1
;
float
*
col2
=
col_data
+
2
*
oosize
+
2
*
osize
;
float
*
col3
=
col_data
+
3
*
oosize
+
osize
+
2
;
float
*
col4
=
col_data
+
4
*
oosize
+
osize
+
1
;
float
*
col5
=
col_data
+
5
*
oosize
+
osize
;
float
*
col6
=
col_data
+
6
*
oosize
+
2
;
float
*
col7
=
col_data
+
7
*
oosize
+
1
;
float
*
col8
=
col_data
+
8
*
oosize
;
float32x4_t
im1
;
const
float
*
im_tmp_data
=
im_data
+
osize
+
1
;
int
rrsize
=
oosize
-
osize
-
1
;
int
nr4
=
rrsize
/
4
;
int
mr4
=
rrsize
%
4
;
for
(
int
i
=
0
;
i
<
nr4
;
++
i
)
{
im1
=
vld1q_f32
(
im_tmp_data
);
vst1q_f32
(
col0
,
im1
);
vst1q_f32
(
col1
,
im1
);
vst1q_f32
(
col2
,
im1
);
vst1q_f32
(
col3
,
im1
);
vst1q_f32
(
col4
,
im1
);
vst1q_f32
(
col5
,
im1
);
vst1q_f32
(
col6
,
im1
);
vst1q_f32
(
col7
,
im1
);
vst1q_f32
(
col8
,
im1
);
col0
+=
4
;
col1
+=
4
;
col2
+=
4
;
col3
+=
4
;
col4
+=
4
;
col5
+=
4
;
col6
+=
4
;
col7
+=
4
;
col8
+=
4
;
im_tmp_data
+=
4
;
}
for
(
int
i
=
0
;
i
<
mr4
;
++
i
)
{
*
col0
=
*
im_tmp_data
;
*
col1
=
*
im_tmp_data
;
*
col2
=
*
im_tmp_data
;
*
col3
=
*
im_tmp_data
;
*
col4
=
*
im_tmp_data
;
*
col5
=
*
im_tmp_data
;
*
col6
=
*
im_tmp_data
;
*
col7
=
*
im_tmp_data
;
*
col8
=
*
im_tmp_data
;
col0
++
;
col1
++
;
col2
++
;
col3
++
;
col4
++
;
col5
++
;
col6
++
;
col7
++
;
col8
++
;
im_tmp_data
++
;
}
im_tmp_data
=
im_data
+
1
;
col0
=
col_data
+
0
*
oosize
+
osize
+
2
;
col1
=
col_data
+
1
*
oosize
+
osize
+
1
;
col2
=
col_data
+
2
*
oosize
+
osize
;
col3
=
col_data
+
3
*
oosize
+
2
;
col4
=
col_data
+
4
*
oosize
+
1
;
col5
=
col_data
+
5
*
oosize
;
for
(
int
i
=
0
;
i
<
nk4
;
i
++
)
{
im1
=
vld1q_f32
(
im_tmp_data
);
vst1q_f32
(
col0
,
im1
);
vst1q_f32
(
col1
,
im1
);
vst1q_f32
(
col2
,
im1
);
vst1q_f32
(
col3
,
im1
);
vst1q_f32
(
col4
,
im1
);
vst1q_f32
(
col5
,
im1
);
col0
+=
4
;
col1
+=
4
;
col2
+=
4
;
col3
+=
4
;
col4
+=
4
;
col5
+=
4
;
im_tmp_data
+=
4
;
}
for
(
int
i
=
0
;
i
<
mk4
;
i
++
)
{
*
col0
=
*
im_tmp_data
;
*
col1
=
*
im_tmp_data
;
*
col2
=
*
im_tmp_data
;
*
col3
=
*
im_tmp_data
;
*
col4
=
*
im_tmp_data
;
*
col5
=
*
im_tmp_data
;
col0
++
;
col1
++
;
col2
++
;
col3
++
;
col4
++
;
col5
++
;
im_tmp_data
++
;
}
// fill 0 1 11;
for
(
int
i
=
0
;
i
<
osize
;
++
i
)
{
col_data
[
0
*
oosize
+
i
*
osize
]
=
0.0
;
col_data
[
3
*
oosize
+
i
*
osize
]
=
0.0
;
col_data
[
6
*
oosize
+
i
*
osize
]
=
0.0
;
col_data
[
2
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
col_data
[
5
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
col_data
[
8
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
}
col_data
[
0
*
oosize
+
osize
+
1
]
=
im_data
[
0
];
col_data
[
3
*
oosize
+
1
]
=
im_data
[
0
];
col_data
[
6
*
oosize
+
1
]
=
im_data
[
osize
];
col_data
[
1
*
oosize
+
osize
]
=
im_data
[
0
];
col_data
[
4
*
oosize
]
=
im_data
[
0
];
col_data
[
7
*
oosize
]
=
im_data
[
osize
];
float32x4_t
zero4
;
zero4
=
vdupq_n_f32
(
0.0
);
auto
col_z0
=
col_data
;
auto
col_z1
=
col_data
+
oosize
;
auto
col_z2
=
col_data
+
2
*
oosize
;
auto
col_z6
=
col_data
+
6
*
oosize
+
osize
*
(
osize
-
1
);
auto
col_z7
=
col_data
+
7
*
oosize
+
osize
*
(
osize
-
1
);
auto
col_z8
=
col_data
+
8
*
oosize
+
osize
*
(
osize
-
1
);
for
(
int
i
=
0
;
i
<
nk4
;
++
i
)
{
vst1q_f32
(
col_z0
,
zero4
);
vst1q_f32
(
col_z1
,
zero4
);
vst1q_f32
(
col_z2
,
zero4
);
vst1q_f32
(
col_z6
,
zero4
);
vst1q_f32
(
col_z7
,
zero4
);
vst1q_f32
(
col_z8
,
zero4
);
col_z0
+=
4
;
col_z1
+=
4
;
col_z2
+=
4
;
col_z6
+=
4
;
col_z7
+=
4
;
col_z8
+=
4
;
}
for
(
int
i
=
0
;
i
<
mk4
;
++
i
)
{
col_z0
[
i
]
=
0.0
;
col_z1
[
i
]
=
0.0
;
col_z2
[
i
]
=
0.0
;
col_z6
[
i
]
=
0.0
;
col_z7
[
i
]
=
0.0
;
col_z8
[
i
]
=
0.0
;
}
col_data
+=
9
*
oosize
;
im_data
+=
isize
*
isize
;
}
}
else
if
(
stride
[
0
]
==
2
&&
filter_height
==
3
&&
pad1
&&
dilation
[
0
]
==
1
)
{
for
(
int
c
=
0
;
c
<
im_channels
;
++
c
)
{
int
oosize
=
osize
*
osize
;
int
nk4
=
osize
/
4
;
int
mk4
=
osize
%
4
;
// 3 2 3 1 0 1 3 2 3
float
*
col0
=
col_data
+
0
*
oosize
+
osize
+
1
;
float
*
col1
=
col_data
+
1
*
oosize
+
osize
;
float
*
col2
=
col_data
+
2
*
oosize
+
osize
;
float
*
col3
=
col_data
+
3
*
oosize
+
1
;
float
*
col4
=
col_data
+
4
*
oosize
;
float
*
col5
=
col_data
+
5
*
oosize
;
float
*
col6
=
col_data
+
6
*
oosize
+
1
;
float
*
col7
=
col_data
+
7
*
oosize
;
float
*
col8
=
col_data
+
8
*
oosize
;
float32x4x2_t
im01
;
float32x4x2_t
im23
;
const
float
*
im_tmp_data0
=
im_data
;
const
float
*
im_tmp_data2
=
im_data
+
isize
;
for
(
int
j
=
0
;
j
<
osize
;
++
j
)
{
for
(
int
i
=
0
;
i
<
nk4
;
++
i
)
{
im01
=
vld2q_f32
(
im_tmp_data0
);
im23
=
vld2q_f32
(
im_tmp_data2
);
vst1q_f32
(
col0
,
im23
.
val
[
1
]);
vst1q_f32
(
col1
,
im23
.
val
[
0
]);
vst1q_f32
(
col2
,
im23
.
val
[
1
]);
vst1q_f32
(
col3
,
im01
.
val
[
1
]);
vst1q_f32
(
col4
,
im01
.
val
[
0
]);
vst1q_f32
(
col5
,
im01
.
val
[
1
]);
vst1q_f32
(
col6
,
im23
.
val
[
1
]);
vst1q_f32
(
col7
,
im23
.
val
[
0
]);
vst1q_f32
(
col8
,
im23
.
val
[
1
]);
col0
+=
4
;
col1
+=
4
;
col2
+=
4
;
col3
+=
4
;
col4
+=
4
;
col5
+=
4
;
col6
+=
4
;
col7
+=
4
;
col8
+=
4
;
im_tmp_data0
+=
8
;
im_tmp_data2
+=
8
;
}
const
float
*
im_tmp_data1
=
im_tmp_data0
+
1
;
const
float
*
im_tmp_data3
=
im_tmp_data2
+
1
;
for
(
int
i
=
0
;
i
<
mk4
;
++
i
)
{
*
col0
=
*
im_tmp_data3
;
*
col1
=
*
im_tmp_data2
;
*
col2
=
*
im_tmp_data3
;
*
col3
=
*
im_tmp_data1
;
*
col4
=
*
im_tmp_data0
;
*
col5
=
*
im_tmp_data1
;
*
col6
=
*
im_tmp_data3
;
*
col7
=
*
im_tmp_data2
;
*
col8
=
*
im_tmp_data3
;
col0
++
;
col1
++
;
col2
++
;
col3
++
;
col4
++
;
col5
++
;
col6
++
;
col7
++
;
col8
++
;
im_tmp_data0
+=
2
;
im_tmp_data1
+=
2
;
im_tmp_data2
+=
2
;
im_tmp_data3
+=
2
;
}
im_tmp_data0
+=
(
isize
-
fill
);
im_tmp_data2
+=
(
isize
-
fill
);
}
for
(
int
i
=
0
;
i
<
osize
;
++
i
)
{
col_data
[
0
*
oosize
+
i
*
osize
]
=
0.0
;
col_data
[
3
*
oosize
+
i
*
osize
]
=
0.0
;
col_data
[
6
*
oosize
+
i
*
osize
]
=
0.0
;
if
(
pad2
)
{
col_data
[
2
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
col_data
[
5
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
col_data
[
8
*
oosize
+
osize
-
1
+
i
*
osize
]
=
0.0
;
}
}
float32x4_t
zero4
;
zero4
=
vdupq_n_f32
(
0.0
);
auto
col_z0
=
col_data
;
auto
col_z1
=
col_data
+
oosize
;
auto
col_z2
=
col_data
+
2
*
oosize
;
auto
col_z6
=
col_data
+
6
*
oosize
+
osize
*
(
osize
-
1
);
auto
col_z7
=
col_data
+
7
*
oosize
+
osize
*
(
osize
-
1
);
auto
col_z8
=
col_data
+
8
*
oosize
+
osize
*
(
osize
-
1
);
for
(
int
i
=
0
;
i
<
nk4
;
++
i
)
{
vst1q_f32
(
col_z0
,
zero4
);
vst1q_f32
(
col_z1
,
zero4
);
vst1q_f32
(
col_z2
,
zero4
);
if
(
pad2
)
{
vst1q_f32
(
col_z6
,
zero4
);
vst1q_f32
(
col_z7
,
zero4
);
vst1q_f32
(
col_z8
,
zero4
);
}
col_z0
+=
4
;
col_z1
+=
4
;
col_z2
+=
4
;
col_z6
+=
4
;
col_z7
+=
4
;
col_z8
+=
4
;
}
for
(
int
i
=
0
;
i
<
mk4
;
++
i
)
{
col_z0
[
i
]
=
0.0
;
col_z1
[
i
]
=
0.0
;
col_z2
[
i
]
=
0.0
;
if
(
pad2
)
{
col_z6
[
i
]
=
0.0
;
col_z7
[
i
]
=
0.0
;
col_z8
[
i
]
=
0.0
;
}
}
col_data
[
1
*
oosize
+
osize
]
=
im_data
[
isize
];
for
(
int
i
=
1
;
i
<
osize
;
++
i
)
{
col_data
[
3
*
oosize
+
i
]
=
im_data
[(
i
-
1
)
*
stride
[
0
]
+
1
];
}
col_data
[
4
*
oosize
]
=
im_data
[
0
];
col_data
[
7
*
oosize
]
=
im_data
[
isize
];
col_data
+=
9
*
oosize
;
im_data
+=
isize
*
isize
;
}
}
else
{
for
(
int
c
=
0
;
c
<
channels_col
;
++
c
)
{
int
w_offset
=
c
%
filter_width
;
int
h_offset
=
(
c
/
filter_width
)
%
filter_height
;
int
c_im
=
c
/
(
filter_width
*
filter_height
);
for
(
int
h
=
0
;
h
<
col_height
;
++
h
)
{
int
im_row_idx
=
h
*
stride
[
0
]
-
padding
[
0
]
+
h_offset
*
dilation
[
0
];
for
(
int
w
=
0
;
w
<
col_width
;
++
w
)
{
int
im_col_idx
=
w
*
stride
[
1
]
-
padding
[
1
]
+
w_offset
*
dilation
[
1
];
int
col_idx
=
(
c
*
col_height
+
h
)
*
col_width
+
w
;
int
im_idx
=
(
im_row_idx
+
c_im
*
im_height
)
*
im_width
+
im_col_idx
;
col_data
[
col_idx
]
=
(
im_row_idx
<
0
||
im_row_idx
>=
im_height
||
im_col_idx
<
0
||
im_col_idx
>=
im_width
)
?
static_cast
<
T
>
(
0
)
:
im_data
[
im_idx
];
}
}
}
}
#else
for
(
int
c
=
0
;
c
<
channels_col
;
++
c
)
{
int
w_offset
=
c
%
filter_width
;
int
h_offset
=
(
c
/
filter_width
)
%
filter_height
;
...
...
@@ -86,6 +429,7 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
}
}
}
#endif
}
};
...
...
@@ -158,7 +502,7 @@ class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
};
template
class
Im2ColFunctor
<
ColFormat
::
kCFO
,
CPU
,
float
>;
template
class
Im2ColFunctor
<
ColFormat
::
kCFO
,
CPU
,
double
>;
//
template class Im2ColFunctor<ColFormat::kCFO, CPU, double>;
template
class
Col2ImFunctor
<
ColFormat
::
kCFO
,
CPU
,
float
>;
template
class
Col2ImFunctor
<
ColFormat
::
kCFO
,
CPU
,
double
>;
...
...
tools/run.sh
浏览文件 @
bc2231e4
#!/usr/bin/env sh
# auto build and run
BUILDNET
=
"
googlenet
"
TESTUNIT
=
"test-
googlenet
"
BUILDNET
=
"
mobilenetssd
"
TESTUNIT
=
"test-
mobilenetssd
"
push_fn
()
{
sh build.sh android
${
BUILDNET
}
MODELS_PATH
=
"../test/models/*"
MODELS_SRC
=
"../
../
test/models"
MODELS_SRC
=
"../test/models"
IMAGE_PATH
=
"../test/images/*"
EXE_FILE
=
"../test/build/*"
EXE_DIR
=
"data/local/tmp/bin"
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录