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632fab2f
编写于
6月 19, 2018
作者:
L
liuruilong
浏览文件
操作
浏览文件
下载
差异文件
Merge remote-tracking branch 'upstream/develop' into develop
上级
6165cb2d
4664b8f5
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 @
632fab2f
...
@@ -14,8 +14,10 @@ limitations under the License. */
...
@@ -14,8 +14,10 @@ limitations under the License. */
#include "operators/math/im2col.h"
#include "operators/math/im2col.h"
#include <vector>
#include <vector>
#ifdef __ARM_NEON
#include "arm_neon.h"
#endif
#include "common/types.h"
#include "common/types.h"
namespace
paddle_mobile
{
namespace
paddle_mobile
{
namespace
operators
{
namespace
operators
{
namespace
math
{
namespace
math
{
...
@@ -65,9 +67,350 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
...
@@ -65,9 +67,350 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
// are " "inconsistent.");
// are " "inconsistent.");
int
channels_col
=
im_channels
*
filter_height
*
filter_width
;
int
channels_col
=
im_channels
*
filter_height
*
filter_width
;
const
T
*
im_data
=
im
.
data
<
T
>
();
const
T
*
im_data
=
im
.
data
<
T
>
();
T
*
col_data
=
col
->
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
)
{
for
(
int
c
=
0
;
c
<
channels_col
;
++
c
)
{
int
w_offset
=
c
%
filter_width
;
int
w_offset
=
c
%
filter_width
;
int
h_offset
=
(
c
/
filter_width
)
%
filter_height
;
int
h_offset
=
(
c
/
filter_width
)
%
filter_height
;
...
@@ -86,6 +429,7 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
...
@@ -86,6 +429,7 @@ class Im2ColFunctor<ColFormat::kCFO, CPU, T> {
}
}
}
}
}
}
#endif
}
}
};
};
...
@@ -158,7 +502,7 @@ class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
...
@@ -158,7 +502,7 @@ class Col2ImFunctor<ColFormat::kCFO, CPU, T> {
};
};
template
class
Im2ColFunctor
<
ColFormat
::
kCFO
,
CPU
,
float
>;
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
,
float
>;
template
class
Col2ImFunctor
<
ColFormat
::
kCFO
,
CPU
,
double
>;
template
class
Col2ImFunctor
<
ColFormat
::
kCFO
,
CPU
,
double
>;
...
...
tools/run.sh
浏览文件 @
632fab2f
#!/usr/bin/env sh
#!/usr/bin/env sh
# auto build and run
# auto build and run
BUILDNET
=
"
googlenet
"
BUILDNET
=
"
mobilenetssd
"
TESTUNIT
=
"test-
googlenet
"
TESTUNIT
=
"test-
mobilenetssd
"
push_fn
()
{
push_fn
()
{
sh build.sh android
${
BUILDNET
}
sh build.sh android
${
BUILDNET
}
MODELS_PATH
=
"../test/models/*"
MODELS_PATH
=
"../test/models/*"
MODELS_SRC
=
"../
../
test/models"
MODELS_SRC
=
"../test/models"
IMAGE_PATH
=
"../test/images/*"
IMAGE_PATH
=
"../test/images/*"
EXE_FILE
=
"../test/build/*"
EXE_FILE
=
"../test/build/*"
EXE_DIR
=
"data/local/tmp/bin"
EXE_DIR
=
"data/local/tmp/bin"
...
...
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