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7c8e5c3b
编写于
8月 09, 2017
作者:
Z
Zhuoyuan
提交者:
GitHub
8月 09, 2017
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差异文件
Merge pull request #3191 from zchen0211/develop
gather function only
上级
56faf513
d4e4cebf
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
123 addition
and
0 deletion
+123
-0
paddle/operators/CMakeLists.txt
paddle/operators/CMakeLists.txt
+2
-0
paddle/operators/gather.h
paddle/operators/gather.h
+73
-0
paddle/operators/gather_test.cc
paddle/operators/gather_test.cc
+48
-0
未找到文件。
paddle/operators/CMakeLists.txt
浏览文件 @
7c8e5c3b
...
...
@@ -41,6 +41,8 @@ function(op_library TARGET)
endif
()
endfunction
()
cc_test
(
gather_test SRCS gather_test.cc DEPS tensor
)
cc_library
(
net_op SRCS net_op.cc DEPS op_registry
)
cc_test
(
net_op_test SRCS net_op_test.cc DEPS net_op
)
...
...
paddle/operators/gather.h
0 → 100644
浏览文件 @
7c8e5c3b
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
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. */
#pragma once
#include <memory.h>
#include <cstring>
#include "paddle/framework/ddim.h"
#include "paddle/framework/tensor.h"
#include "paddle/platform/place.h"
namespace
paddle
{
namespace
operators
{
// Implementation of CPU copy
template
<
typename
T
>
void
CPUGather
(
const
T
*
params
,
const
int
*
indices
,
const
int
slice_size
,
const
int
index_size
,
T
*
output
)
{
const
size_t
slice_bytes
=
slice_size
*
sizeof
(
T
);
for
(
size_t
i
=
0
;
i
<
index_size
;
++
i
)
{
int
index_
=
indices
[
i
];
memcpy
(
output
+
i
*
slice_size
,
params
+
index_
*
slice_size
,
slice_bytes
);
}
}
// Implementation of GPU copy:
template
<
typename
T
>
void
GPUGather
(
const
T
*
src
,
const
int
*
index
,
const
int
slice_size
,
const
int
index_size
,
T
*
output
);
/**
* Return a new tensor from source tensor, gathered according to index
* input[src]: type-T source Tensor
* input[index]: type-int index Tensor (1-D)
* return: output tensor
*/
template
<
typename
T
>
void
Gather
(
const
platform
::
Place
&
place
,
const
paddle
::
framework
::
Tensor
*
src
,
const
paddle
::
framework
::
Tensor
*
index
,
paddle
::
framework
::
Tensor
*
output
)
{
// check index of shape 1-D
PADDLE_ENFORCE
(
index
->
dims
().
size
()
==
1
);
int
index_size
=
index
->
dims
()[
0
];
auto
src_dims
=
src
->
dims
();
paddle
::
framework
::
DDim
output_dims
(
src_dims
);
output_dims
[
0
]
=
index_size
;
// slice size
int
slice_size
=
1
;
for
(
size_t
i
=
1
;
i
<
src_dims
.
size
();
++
i
)
slice_size
*=
src_dims
[
i
];
// Gathering
if
(
platform
::
is_cpu_place
(
place
))
{
CPUGather
<
T
>
(
src
->
data
<
T
>
(),
index
->
data
<
int
>
(),
slice_size
,
index_size
,
output
->
data
<
T
>
());
}
}
}
// namespace operators
}
// namespace paddle
paddle/operators/gather_test.cc
0 → 100644
浏览文件 @
7c8e5c3b
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
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 "paddle/operators/gather.h"
#include "paddle/framework/ddim.h"
#include "paddle/framework/tensor.h"
#include "paddle/platform/place.h"
#include <gtest/gtest.h>
#include <iostream>
#include <string>
TEST
(
Gather
,
GatherData
)
{
using
namespace
paddle
::
framework
;
using
namespace
paddle
::
platform
;
using
namespace
paddle
::
operators
;
Tensor
*
src
=
new
Tensor
();
Tensor
*
index
=
new
Tensor
();
Tensor
*
output
=
new
Tensor
();
int
*
p_src
=
nullptr
;
int
*
p_index
=
nullptr
;
p_src
=
src
->
mutable_data
<
int
>
(
make_ddim
({
3
,
4
}),
CPUPlace
());
p_index
=
index
->
mutable_data
<
int
>
(
make_ddim
({
2
}),
CPUPlace
());
for
(
size_t
i
=
0
;
i
<
12
;
++
i
)
p_src
[
i
]
=
i
;
p_index
[
0
]
=
1
;
p_index
[
1
]
=
0
;
int
*
p_output
=
output
->
mutable_data
<
int
>
(
make_ddim
({
2
,
4
}),
CPUPlace
());
Gather
<
int
>
(
CPUPlace
(),
src
,
index
,
output
);
for
(
size_t
i
=
0
;
i
<
4
;
++
i
)
EXPECT_EQ
(
p_output
[
i
],
i
+
4
);
for
(
size_t
i
=
4
;
i
<
8
;
++
i
)
EXPECT_EQ
(
p_output
[
i
],
i
-
4
);
}
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