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a893f156
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PaddleDetection
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a893f156
编写于
1月 04, 2018
作者:
D
dzhwinter
提交者:
GitHub
1月 04, 2018
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电子邮件补丁
差异文件
fix layout transform (#7149)
* "fix typo" * "fix based on comments" * "follow gogle style" * "fix based on comemnts"
上级
dd8ffe1e
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
47 addition
and
13 deletion
+47
-13
paddle/framework/data_transform.cc
paddle/framework/data_transform.cc
+28
-8
paddle/framework/data_transform.h
paddle/framework/data_transform.h
+5
-3
paddle/framework/data_transform_test.cc
paddle/framework/data_transform_test.cc
+14
-2
未找到文件。
paddle/framework/data_transform.cc
浏览文件 @
a893f156
...
...
@@ -11,6 +11,7 @@ distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <functional>
#include "paddle/framework/data_transform.h"
#include "paddle/framework/lod_tensor.h"
...
...
@@ -74,26 +75,28 @@ void TransDataType(const platform::DeviceContext* ctx,
}
}
void
TransDataLayout
(
const
platform
::
DeviceContext
*
ctx
,
void
TransDataLayout
(
const
std
::
vector
<
int
>&
axis
,
const
platform
::
DeviceContext
*
ctx
,
const
KernelTypePair
&
kernel_pair
,
const
Variable
&
in
,
Variable
*
out
)
{
PADDLE_ENFORCE
(
in
.
IsType
<
Tensor
>
(),
"Only
S
upport Tensor transform!."
);
PADDLE_ENFORCE
(
in
.
IsType
<
Tensor
>
(),
"Only
s
upport Tensor transform!."
);
PADDLE_ENFORCE
(
platform
::
places_are_same_class
(
kernel_pair
.
first
.
place_
,
kernel_pair
.
second
.
place_
),
"TransDataType Only Support DataType transform on same place!"
);
"TransDataLayout only support DataLayout transform on same place!"
);
PADDLE_ENFORCE
(
kernel_pair
.
first
.
data_type_
==
kernel_pair
.
second
.
data_type_
,
"TransDataLayout only support Datatype are same!"
);
auto
src
=
in
.
Get
<
Tensor
>
();
auto
*
dst
=
out
->
GetMutable
<
Tensor
>
();
PADDLE_ENFORCE
(
arity
(
src
.
dims
())
==
4
,
"Input Arity Only Suppport 4!"
);
auto
src_dim
=
src
.
dims
();
dst
->
Resize
(
src_dim
);
auto
place
=
kernel_pair
.
second
.
place_
;
CopyFrom
(
src
,
place
,
*
ctx
,
dst
);
const
std
::
vector
<
int
>
axis
=
{
0
,
2
,
3
,
1
};
auto
src_dim
=
src
.
dims
();
std
::
vector
<
int64_t
>
dst_dim
;
dst_dim
.
resize
(
axis
.
size
());
for
(
size_t
i
=
0
;
i
<
axis
.
size
();
i
++
)
{
dst_dim
[
i
]
=
src_dim
[
axis
[
i
]];
...
...
@@ -102,7 +105,7 @@ void TransDataLayout(const platform::DeviceContext* ctx,
dst
->
Resize
(
make_ddim
(
dst_dim
));
auto
src_type
=
kernel_pair
.
first
.
data_type_
;
framework
::
VisitDataType
(
src_type
,
CastDataLayout
(
src
,
dst
,
ctx
,
axis
));
framework
::
VisitDataType
(
src_type
,
CastDataLayout
(
ctx
,
axis
,
src
,
dst
));
dst
->
set_layout
(
kernel_pair
.
second
.
data_layout_
);
}
...
...
@@ -111,5 +114,22 @@ void TransDataLayout(const platform::DeviceContext* ctx,
}
// namespace paddle
namespace
f
=
paddle
::
framework
;
namespace
{
std
::
vector
<
int
>
NHWC2NCHW
=
{
0
,
3
,
1
,
2
};
std
::
vector
<
int
>
NCHW2NHWC
=
{
0
,
2
,
3
,
1
};
}
REGISTER_DATA_TRANSFORM_FN
(
f
::
KernelFP32
,
f
::
KernelFP64
,
f
::
TransDataType
);
REGISTER_DATA_TRANSFORM_FN
(
f
::
KernelNHWC
,
f
::
KernelNCHW
,
f
::
TransDataLayout
);
REGISTER_DATA_TRANSFORM_FN
(
f
::
KernelNHWC
,
f
::
KernelNCHW
,
std
::
bind
(
f
::
TransDataLayout
,
NHWC2NCHW
,
std
::
placeholders
::
_1
,
std
::
placeholders
::
_2
,
std
::
placeholders
::
_3
,
std
::
placeholders
::
_4
));
REGISTER_DATA_TRANSFORM_FN
(
f
::
KernelNCHW
,
f
::
KernelNHWC
,
std
::
bind
(
f
::
TransDataLayout
,
NCHW2NHWC
,
std
::
placeholders
::
_1
,
std
::
placeholders
::
_2
,
std
::
placeholders
::
_3
,
std
::
placeholders
::
_4
));
paddle/framework/data_transform.h
浏览文件 @
a893f156
...
...
@@ -73,6 +73,7 @@ struct CastDataType {
auto
numel
=
in_
.
numel
();
auto
*
in_end
=
in_begin
+
numel
;
auto
*
out_begin
=
out_
->
mutable_data
<
OutType
>
(
place
);
if
(
platform
::
is_cpu_place
(
place
))
{
platform
::
Transform
<
platform
::
CPUDeviceContext
>
trans
;
auto
*
context
=
static_cast
<
const
platform
::
CPUDeviceContext
*>
(
ctx_
);
...
...
@@ -86,9 +87,9 @@ struct CastDataType {
};
struct
CastDataLayout
{
CastDataLayout
(
const
framework
::
Tensor
&
in
,
framework
::
Tensor
*
out
,
const
platform
::
DeviceContext
*
ctx
,
const
std
::
vector
<
int
>&
axis
)
CastDataLayout
(
const
platform
::
DeviceContext
*
ctx
,
const
std
::
vector
<
int
>&
axis
,
const
framework
::
Tensor
&
in
,
framework
::
Tensor
*
out
)
:
in_
(
in
),
out_
(
out
),
ctx_
(
ctx
),
axis_
(
axis
)
{}
const
framework
::
Tensor
in_
;
framework
::
Tensor
*
out_
;
...
...
@@ -98,6 +99,7 @@ struct CastDataLayout {
template
<
typename
T
>
void
operator
()()
{
auto
place
=
ctx_
->
GetPlace
();
if
(
platform
::
is_cpu_place
(
place
))
{
operators
::
math
::
Transpose
<
platform
::
CPUDeviceContext
,
T
,
4
>
trans4
;
auto
*
context
=
static_cast
<
const
platform
::
CPUDeviceContext
*>
(
ctx_
);
...
...
paddle/framework/data_transform_test.cc
浏览文件 @
a893f156
...
...
@@ -106,7 +106,7 @@ TEST(DataTransform, Register) {
ASSERT_EQ
(
test_value
,
2
);
}
TEST
(
DataTransform
,
Layout
)
{
TEST
(
DataTransform
,
Data
Layout
)
{
using
namespace
paddle
::
framework
;
using
namespace
paddle
::
platform
;
...
...
@@ -127,7 +127,19 @@ TEST(DataTransform, Layout) {
}
Tensor
dst
=
out
.
Get
<
Tensor
>
();
EXPECT_TRUE
(
dst
.
layout
()
!=
src
->
layout
());
EXPECT_TRUE
(
dst
.
layout
()
==
DataLayout
::
kNCHW
);
EXPECT_TRUE
(
dst
.
dims
()
==
make_ddim
({
2
,
2
,
3
,
1
}));
{
auto
kernel1
=
GenFromBit
({
1
,
0
,
1
,
0
});
auto
kernel2
=
GenFromBit
({
1
,
0
,
0
,
0
});
auto
pair0
=
std
::
make_pair
(
kernel1
,
kernel2
);
instance
.
Get
(
pair0
)(
ctx
,
pair0
,
out
,
&
in
);
}
EXPECT_TRUE
(
src
->
layout
()
==
DataLayout
::
kNHWC
);
EXPECT_TRUE
(
src
->
dims
()
==
make_ddim
({
2
,
3
,
1
,
2
}));
}
TEST
(
DataTransform
,
DataType
)
{
...
...
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