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d2c1408f
编写于
10月 16, 2017
作者:
C
chengduoZH
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix im2col kocf for sequence projection
上级
8fe7bf38
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
162 addition
and
51 deletion
+162
-51
paddle/operators/math/im2col.cc
paddle/operators/math/im2col.cc
+48
-22
paddle/operators/math/im2col.cu
paddle/operators/math/im2col.cu
+43
-11
paddle/operators/math/im2col_test.cc
paddle/operators/math/im2col_test.cc
+71
-18
未找到文件。
paddle/operators/math/im2col.cc
浏览文件 @
d2c1408f
...
...
@@ -140,8 +140,8 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
public:
void
operator
()(
const
platform
::
DeviceContext
&
context
,
const
framework
::
Tensor
&
im
,
framework
::
Tensor
&
col
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
)
{
int
stride_height
,
int
stride_width
,
int
up_pad
,
int
down_pad
)
{
PADDLE_ENFORCE
(
im
.
dims
().
size
()
==
3
);
PADDLE_ENFORCE
(
col
.
dims
().
size
()
==
5
);
int
input_channels
=
im
.
dims
()[
0
];
...
...
@@ -149,13 +149,25 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
int
input_width
=
im
.
dims
()[
2
];
int
filter_height
=
col
.
dims
()[
3
];
int
filter_width
=
col
.
dims
()[
4
];
int
output_height
=
col
.
dims
()[
0
];
//
int output_height = col.dims()[0];
int
output_width
=
col
.
dims
()[
1
];
int
row_begin
,
row_end
;
int
padding_height
=
std
::
max
(
up_pad
,
down_pad
);
int
padding_width
=
0
;
if
(
up_pad
>=
down_pad
)
{
row_begin
=
0
;
}
else
{
row_begin
=
down_pad
-
up_pad
;
}
row_end
=
row_begin
+
((
input_height
+
up_pad
+
down_pad
-
filter_height
)
/
stride_height
+
1
);
const
T
*
im_data
=
im
.
data
<
T
>
();
T
*
col_data
=
col
.
data
<
T
>
();
for
(
int
col_row_idx
=
0
;
col_row_idx
<
output_height
;
++
col_row_idx
)
{
for
(
int
col_row_idx
=
row_begin
;
col_row_idx
<
row_end
;
++
col_row_idx
)
{
for
(
int
col_col_idx
=
0
;
col_col_idx
<
output_width
;
++
col_col_idx
)
{
for
(
int
channel
=
0
;
channel
<
input_channels
;
++
channel
)
{
for
(
int
filter_row_idx
=
0
;
filter_row_idx
<
filter_height
;
...
...
@@ -166,13 +178,14 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
col_row_idx
*
stride_height
+
filter_row_idx
-
padding_height
;
int
im_col_offset
=
col_col_idx
*
stride_width
+
filter_col_idx
-
padding_width
;
int
col_offset
=
(((
col_row_idx
*
output_width
+
col_col_idx
)
*
input_channels
+
channel
)
*
filter_height
+
filter_row_idx
)
*
filter_width
+
filter_col_idx
;
int
col_offset
=
((((
col_row_idx
-
row_begin
)
*
output_width
+
col_col_idx
)
*
input_channels
+
channel
)
*
filter_height
+
filter_row_idx
)
*
filter_width
+
filter_col_idx
;
if
(
im_row_offset
<
0
||
im_row_offset
>=
input_height
||
im_col_offset
<
0
||
im_col_offset
>=
input_width
)
{
col_data
[
col_offset
]
=
T
(
0
);
...
...
@@ -201,7 +214,7 @@ class Col2ImFunctor<paddle::operators::math::ColFormat::kOCF,
public:
void
operator
()(
const
platform
::
DeviceContext
&
context
,
framework
::
Tensor
&
im
,
const
framework
::
Tensor
&
col
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
)
{
int
stride_width
,
int
up_pad
,
int
down_pad
)
{
PADDLE_ENFORCE
(
im
.
dims
().
size
()
==
3
);
PADDLE_ENFORCE
(
col
.
dims
().
size
()
==
5
);
int
input_channels
=
im
.
dims
()[
0
];
...
...
@@ -209,30 +222,43 @@ class Col2ImFunctor<paddle::operators::math::ColFormat::kOCF,
int
input_width
=
im
.
dims
()[
2
];
int
filter_height
=
col
.
dims
()[
3
];
int
filter_width
=
col
.
dims
()[
4
];
int
output_height
=
col
.
dims
()[
0
];
//
int output_height = col.dims()[0];
int
output_width
=
col
.
dims
()[
1
];
int
row_begin
,
row_end
;
int
padding_height
=
std
::
max
(
up_pad
,
down_pad
);
int
padding_width
=
0
;
if
(
up_pad
>=
down_pad
)
{
row_begin
=
0
;
}
else
{
row_begin
=
down_pad
-
up_pad
;
}
row_end
=
row_begin
+
((
input_height
+
up_pad
+
down_pad
-
filter_height
)
/
stride_height
+
1
);
T
*
im_data
=
im
.
data
<
T
>
();
const
T
*
col_data
=
col
.
data
<
T
>
();
for
(
int
col_row_idx
=
0
;
col_row_idx
<
output_height
;
++
col_row_idx
)
{
for
(
int
col_row_idx
=
row_begin
;
col_row_idx
<
row_end
;
++
col_row_idx
)
{
for
(
int
col_col_idx
=
0
;
col_col_idx
<
output_width
;
++
col_col_idx
)
{
for
(
int
channel
=
0
;
channel
<
input_channels
;
++
channel
)
{
for
(
int
filter_row_idx
=
0
;
filter_row_idx
<
filter_height
;
++
filter_row_idx
)
{
for
(
int
filter_col_idx
=
0
;
filter_col_idx
<
filter_width
;
++
filter_col_idx
)
{
int
im_row_offset
=
int
im_row_offset
=
// change or not ???
col_row_idx
*
stride_height
+
filter_row_idx
-
padding_height
;
int
im_col_offset
=
col_col_idx
*
stride_width
+
filter_col_idx
-
padding_width
;
int
col_offset
=
(((
col_row_idx
*
output_width
+
col_col_idx
)
*
input_channels
+
channel
)
*
filter_height
+
filter_row_idx
)
*
filter_width
+
filter_col_idx
;
int
col_offset
=
((((
col_row_idx
-
row_begin
)
*
output_width
+
col_col_idx
)
*
input_channels
+
channel
)
*
filter_height
+
filter_row_idx
)
*
filter_width
+
filter_col_idx
;
if
(
im_row_offset
>=
0
&&
im_row_offset
<
input_height
&&
im_col_offset
>=
0
&&
im_col_offset
<
input_width
)
{
int
im_offset
=
...
...
paddle/operators/math/im2col.cu
浏览文件 @
d2c1408f
...
...
@@ -199,7 +199,8 @@ __global__ void im2colOCF(const T* im_data, T* col_data, int input_channels,
int
input_height
,
int
input_width
,
int
filter_height
,
int
filter_width
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
,
int
output_height
,
int
output_width
)
{
int
output_height
,
int
output_width
,
int
row_begin
,
int
row_end
)
{
int
swid
=
blockIdx
.
x
;
int
shid
=
blockIdx
.
y
;
for
(
int
channelid
=
threadIdx
.
z
;
channelid
<
input_channels
;
...
...
@@ -207,7 +208,8 @@ __global__ void im2colOCF(const T* im_data, T* col_data, int input_channels,
for
(
int
idy
=
threadIdx
.
y
;
idy
<
filter_height
;
idy
+=
blockDim
.
y
)
{
for
(
int
idx
=
threadIdx
.
x
;
idx
<
filter_width
;
idx
+=
blockDim
.
x
)
{
int
width_offset
=
idx
+
swid
*
stride_width
-
padding_width
;
int
height_offset
=
idy
+
shid
*
stride_height
-
padding_height
;
int
height_offset
=
idy
+
(
shid
+
row_begin
)
*
stride_height
-
padding_height
;
int
im_offset
=
width_offset
+
height_offset
*
input_width
+
channelid
*
input_height
*
input_width
;
...
...
@@ -238,8 +240,8 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
public:
void
operator
()(
const
platform
::
DeviceContext
&
context
,
const
framework
::
Tensor
&
im
,
framework
::
Tensor
&
col
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
)
{
int
stride_height
,
int
stride_width
,
int
up_pad
,
int
down_pad
)
{
PADDLE_ENFORCE
(
im
.
dims
().
size
()
==
3
);
PADDLE_ENFORCE
(
col
.
dims
().
size
()
==
5
);
int
input_channels
=
im
.
dims
()[
0
];
...
...
@@ -247,7 +249,20 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
int
input_width
=
im
.
dims
()[
2
];
int
filter_height
=
col
.
dims
()[
3
];
int
filter_width
=
col
.
dims
()[
4
];
int
output_height
=
col
.
dims
()[
0
];
int
row_begin
,
row_end
;
int
padding_height
=
std
::
max
(
up_pad
,
down_pad
);
int
padding_width
=
0
;
if
(
up_pad
>=
down_pad
)
{
row_begin
=
0
;
}
else
{
row_begin
=
down_pad
-
up_pad
;
}
row_end
=
row_begin
+
((
input_height
+
up_pad
+
down_pad
-
filter_height
)
/
stride_height
+
1
);
int
output_height
=
row_end
-
row_begin
;
// col.dims()[0];
int
output_width
=
col
.
dims
()[
1
];
int
block_dim_x
=
0
;
...
...
@@ -275,7 +290,8 @@ class Im2ColFunctor<paddle::operators::math::ColFormat::kOCF,
.
stream
()
>>>
(
im
.
data
<
T
>
(),
col
.
data
<
T
>
(),
input_channels
,
input_height
,
input_width
,
filter_height
,
filter_width
,
stride_height
,
stride_width
,
padding_height
,
padding_width
,
output_height
,
output_width
);
padding_height
,
padding_width
,
output_height
,
output_width
,
row_begin
,
row_end
);
}
};
...
...
@@ -284,7 +300,8 @@ __global__ void col2imOCF(T* im_data, const T* col_data, int input_channels,
int
input_height
,
int
input_width
,
int
filter_height
,
int
filter_width
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
,
int
output_height
,
int
output_width
)
{
int
output_height
,
int
output_width
,
int
row_begin
,
int
row_end
)
{
int
swid
=
blockIdx
.
x
;
int
shid
=
blockIdx
.
y
;
for
(
int
channelid
=
threadIdx
.
z
;
channelid
<
input_channels
;
...
...
@@ -292,7 +309,8 @@ __global__ void col2imOCF(T* im_data, const T* col_data, int input_channels,
for
(
int
idy
=
threadIdx
.
y
;
idy
<
filter_height
;
idy
+=
blockDim
.
y
)
{
for
(
int
idx
=
threadIdx
.
x
;
idx
<
filter_width
;
idx
+=
blockDim
.
x
)
{
int
width_offset
=
idx
+
swid
*
stride_width
-
padding_width
;
int
height_offset
=
idy
+
shid
*
stride_height
-
padding_height
;
int
height_offset
=
idy
+
(
shid
+
row_begin
)
*
stride_height
-
padding_height
;
int
im_offset
=
width_offset
+
height_offset
*
input_width
+
channelid
*
input_height
*
input_width
;
...
...
@@ -322,7 +340,7 @@ class Col2ImFunctor<paddle::operators::math::ColFormat::kOCF,
public:
void
operator
()(
const
platform
::
DeviceContext
&
context
,
framework
::
Tensor
&
im
,
const
framework
::
Tensor
&
col
,
int
stride_height
,
int
stride_width
,
int
padding_height
,
int
padding_width
)
{
int
stride_width
,
int
up_pad
,
int
down_pad
)
{
PADDLE_ENFORCE
(
im
.
dims
().
size
()
==
3
);
PADDLE_ENFORCE
(
col
.
dims
().
size
()
==
5
);
int
input_channels
=
im
.
dims
()[
0
];
...
...
@@ -330,7 +348,20 @@ class Col2ImFunctor<paddle::operators::math::ColFormat::kOCF,
int
input_width
=
im
.
dims
()[
2
];
int
filter_height
=
col
.
dims
()[
3
];
int
filter_width
=
col
.
dims
()[
4
];
int
output_height
=
col
.
dims
()[
0
];
int
row_begin
,
row_end
;
int
padding_height
=
std
::
max
(
up_pad
,
down_pad
);
int
padding_width
=
0
;
if
(
up_pad
>=
down_pad
)
{
row_begin
=
0
;
}
else
{
row_begin
=
down_pad
-
up_pad
;
}
row_end
=
row_begin
+
((
input_height
+
up_pad
+
down_pad
-
filter_height
)
/
stride_height
+
1
);
int
output_height
=
row_end
-
row_begin
;
// col.dims()[0];
int
output_width
=
col
.
dims
()[
1
];
int
block_dim_x
=
0
;
...
...
@@ -358,7 +389,8 @@ class Col2ImFunctor<paddle::operators::math::ColFormat::kOCF,
.
stream
()
>>>
(
im
.
data
<
T
>
(),
col
.
data
<
T
>
(),
input_channels
,
input_height
,
input_width
,
filter_height
,
filter_width
,
stride_height
,
stride_width
,
padding_height
,
padding_width
,
output_height
,
output_width
);
padding_height
,
padding_width
,
output_height
,
output_width
,
row_begin
,
row_end
);
}
};
...
...
paddle/operators/math/im2col_test.cc
浏览文件 @
d2c1408f
...
...
@@ -35,6 +35,12 @@ void testIm2col() {
*
* output_ocf = [0, 1, 3, 4
* 1, 2, 4, 5]
*
* col2im_cfo = [0, 2, 2
* 3, 4, 5]
*
* col2im_ocf = [0, 2, 2
* 3, 4, 5]
*/
int
input_height
=
2
;
int
input_width
=
3
;
...
...
@@ -59,7 +65,7 @@ void testIm2col() {
new
paddle
::
platform
::
CUDADeviceContext
(
paddle
::
platform
::
GPUPlace
());
#else
PADDLE_THROW
(
"no GPU support"
);
#endif // PADDLE_
ONLY_CPU
#endif // PADDLE_
WITH_CUDA
}
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
input
=
input_tmp
;
...
...
@@ -71,6 +77,7 @@ void testIm2col() {
output_ocf
.
mutable_data
<
float
>
(
{
output_height
,
output_width
,
1
,
filter_size
,
filter_size
},
*
place
);
// Im2Col
paddle
::
operators
::
math
::
Im2ColFunctor
<
paddle
::
operators
::
math
::
ColFormat
::
kCFO
,
Place
,
float
>
im2col
;
...
...
@@ -79,7 +86,12 @@ void testIm2col() {
im2col_ocf
;
im2col
(
*
context
,
input
,
output_cfo
,
stride
,
stride
,
padding
,
padding
);
im2col_ocf
(
*
context
,
input
,
output_ocf
,
stride
,
stride
,
padding
,
padding
);
im2col_ocf
(
*
context
,
input
,
output_ocf
,
/*stride_height*/
stride
,
/*stride_width*/
stride
,
/*up_pad*/
padding
,
/*down_pad*/
padding
);
float
out_cfo_data
[]
=
{
0
,
1
,
1
,
2
,
3
,
4
,
4
,
5
};
float
out_ocf_data
[]
=
{
0
,
1
,
3
,
4
,
1
,
2
,
4
,
5
};
float
*
out_cfo_ptr
;
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
...
...
@@ -89,14 +101,9 @@ void testIm2col() {
*
context
);
out_cfo_ptr
=
output_tmp
.
data
<
float
>
();
}
EXPECT_EQ
(
out_cfo_ptr
[
0
],
0
);
EXPECT_EQ
(
out_cfo_ptr
[
1
],
1
);
EXPECT_EQ
(
out_cfo_ptr
[
2
],
1
);
EXPECT_EQ
(
out_cfo_ptr
[
3
],
2
);
EXPECT_EQ
(
out_cfo_ptr
[
4
],
3
);
EXPECT_EQ
(
out_cfo_ptr
[
5
],
4
);
EXPECT_EQ
(
out_cfo_ptr
[
6
],
4
);
EXPECT_EQ
(
out_cfo_ptr
[
7
],
5
);
for
(
int
i
=
0
;
i
<
6
;
++
i
)
{
EXPECT_EQ
(
out_cfo_ptr
[
i
],
out_cfo_data
[
i
]);
}
float
*
out_ocf_ptr
;
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
...
...
@@ -106,14 +113,60 @@ void testIm2col() {
*
context
);
out_ocf_ptr
=
output_tmp
.
data
<
float
>
();
}
EXPECT_EQ
(
out_ocf_ptr
[
0
],
0
);
EXPECT_EQ
(
out_ocf_ptr
[
1
],
1
);
EXPECT_EQ
(
out_ocf_ptr
[
2
],
3
);
EXPECT_EQ
(
out_ocf_ptr
[
3
],
4
);
EXPECT_EQ
(
out_ocf_ptr
[
4
],
1
);
EXPECT_EQ
(
out_ocf_ptr
[
5
],
2
);
EXPECT_EQ
(
out_ocf_ptr
[
6
],
4
);
EXPECT_EQ
(
out_ocf_ptr
[
7
],
5
);
for
(
int
i
=
0
;
i
<
6
;
++
i
)
{
EXPECT_EQ
(
out_ocf_ptr
[
i
],
out_ocf_data
[
i
]);
}
// Col2Im: kCFO
paddle
::
operators
::
math
::
Col2ImFunctor
<
paddle
::
operators
::
math
::
ColFormat
::
kCFO
,
Place
,
float
>
col2im
;
paddle
::
operators
::
math
::
Col2ImFunctor
<
paddle
::
operators
::
math
::
ColFormat
::
kOCF
,
Place
,
float
>
col2im_ocf
;
float
col2im_data
[]
=
{
0
,
2
,
2
,
3
,
8
,
5
};
memset
(
input_ptr
,
0
,
6
*
sizeof
(
float
));
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
input
=
input_tmp
;
}
else
{
input
.
CopyFrom
<
float
>
(
input_tmp
,
*
place
,
*
context
);
}
col2im
(
*
context
,
input
,
output_cfo
,
stride
,
stride
,
padding
,
padding
);
float
*
in_ptr
;
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
in_ptr
=
input
.
data
<
float
>
();
}
else
{
input_tmp
.
CopyFrom
<
float
>
(
input
,
paddle
::
platform
::
CPUPlace
(),
*
context
);
in_ptr
=
input_tmp
.
data
<
float
>
();
}
for
(
int
i
=
0
;
i
<
6
;
++
i
)
{
EXPECT_EQ
(
in_ptr
[
i
],
col2im_data
[
i
]);
}
// Col2Im: kOCF
memset
(
input_ptr
,
0
,
6
*
sizeof
(
float
));
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
input
=
input_tmp
;
}
else
{
input
.
CopyFrom
<
float
>
(
input_tmp
,
*
place
,
*
context
);
}
col2im_ocf
(
*
context
,
input
,
output_ocf
,
/*stride_height*/
stride
,
/*stride_width*/
stride
,
/*up_pad*/
padding
,
/*down_pad*/
padding
);
if
(
paddle
::
platform
::
is_cpu_place
(
*
place
))
{
in_ptr
=
input
.
data
<
float
>
();
}
else
{
input_tmp
.
CopyFrom
<
float
>
(
input
,
paddle
::
platform
::
CPUPlace
(),
*
context
);
in_ptr
=
input_tmp
.
data
<
float
>
();
}
for
(
int
i
=
0
;
i
<
6
;
++
i
)
{
EXPECT_EQ
(
in_ptr
[
i
],
col2im_data
[
i
]);
}
}
TEST
(
math
,
im2col
)
{
...
...
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