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
PaddleDetection
提交
67db9d35
P
PaddleDetection
项目概览
PaddlePaddle
/
PaddleDetection
大约 1 年 前同步成功
通知
694
Star
11112
Fork
2696
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
184
列表
看板
标记
里程碑
合并请求
40
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
PaddleDetection
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
184
Issue
184
列表
看板
标记
里程碑
合并请求
40
合并请求
40
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
体验新版 GitCode,发现更多精彩内容 >>
提交
67db9d35
编写于
9月 13, 2017
作者:
H
hedaoyuan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Refine the GemmConvKernel.
上级
a7c18722
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
27 addition
and
20 deletion
+27
-20
paddle/operators/gemm_conv_op.h
paddle/operators/gemm_conv_op.h
+27
-20
未找到文件。
paddle/operators/gemm_conv_op.h
浏览文件 @
67db9d35
...
...
@@ -29,61 +29,68 @@ class GemmConvKernel : public framework::OpKernel {
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
const
Tensor
*
input
=
context
.
Input
<
Tensor
>
(
"Input"
);
Tensor
*
filter
=
const_cast
<
Tensor
*>
(
context
.
Input
<
Tensor
>
(
"Filter"
));
// The filter will be reshaped in the calculations,
// so here use an assignment operation,
// that avoids modifying the variable in the Scope.
Tensor
filter
=
*
context
.
Input
<
Tensor
>
(
"Filter"
);
Tensor
*
output
=
context
.
Output
<
Tensor
>
(
"Output"
);
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
std
::
vector
<
int
>
strides
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"strides"
);
std
::
vector
<
int
>
paddings
=
context
.
Attr
<
std
::
vector
<
int
>>
(
"paddings"
);
auto
filter_dims
=
filter
->
dims
();
int
batch_size
=
input
->
dims
()[
0
];
int
input_channels
=
input
->
dims
()[
1
];
int
filter_height
=
filter
->
dims
()[
filter
->
dims
().
size
()
-
2
];
int
filter_width
=
filter
->
dims
()[
filter
->
dims
().
size
()
-
1
];
int
filter_height
=
filter
.
dims
()[
filter
.
dims
().
size
()
-
2
];
int
filter_width
=
filter
.
dims
()[
filter
.
dims
().
size
()
-
1
];
int
output_channels
=
output
->
dims
()[
1
];
int
output_height
=
output
->
dims
()[
2
];
int
output_width
=
output
->
dims
()[
3
];
paddle
::
operators
::
math
::
Im2ColFunctor
<
paddle
::
operators
::
math
::
ColFormat
::
kCFO
,
Place
,
T
>
im2col
;
// use col_shape in the im2col calculation
framework
::
DDim
col_shape
=
{
input_channels
,
filter_height
,
filter_width
,
output_height
,
output_width
};
// use col_matrix_shape in the gemm calculation
framework
::
DDim
col_matrix_shape
=
{
input_channels
*
filter_height
*
filter_width
,
output_height
*
output_width
};
Tensor
col
;
col
.
mutable_data
<
float
>
(
col_shape
,
context
.
GetPlace
());
auto
*
device_context
=
const_cast
<
platform
::
DeviceContext
*>
(
context
.
device_context_
);
// col_matrix shares the same piece of data with col,
// but will be reshaped into a two-dimensional matrix shape
// to call the matrix multiplication interface.
Tensor
col_matrix
=
col
;
col_matrix
.
Resize
(
col_matrix_shape
);
framework
::
DDim
input_shape
=
{
input
->
dims
()[
1
],
input
->
dims
()[
2
],
input
->
dims
()[
3
]};
framework
::
DDim
filter_matrix_shape
=
{
filter
->
dims
()[
0
],
filter
->
dims
()[
1
]
*
filter
->
dims
()[
2
]
*
filter
->
dims
()[
3
]}
;
framework
::
DDim
col_matrix_shape
=
{
input_channels
*
filter_height
*
filter_width
,
output_height
*
output_width
};
framework
::
DDim
output_matrix_shape
=
{
output
->
dims
()[
1
],
output
->
dims
()[
2
]
*
output
->
dims
()[
3
]};
filter
->
Resize
(
filter_matrix_shape
);
output_channels
,
framework
::
product
(
filter
.
dims
())
/
output_channels
};
filter
.
Resize
(
filter_matrix_shape
)
;
framework
::
DDim
output_matrix_shape
=
{
output_channels
,
output_height
*
output_width
};
auto
*
device_context
=
const_cast
<
platform
::
DeviceContext
*>
(
context
.
device_context_
);
// convolution operator: im2col + gemm
for
(
int
i
=
0
;
i
<
batch_size
;
i
++
)
{
// im2col
Tensor
in_slice
=
input
->
Slice
<
T
>
(
i
,
i
+
1
);
in_slice
.
Resize
(
input_shape
);
col
.
Resize
(
col_shape
);
im2col
(
in_slice
,
col
,
strides
[
0
],
strides
[
1
],
paddings
[
0
],
paddings
[
1
],
device_context
);
// gemm
Tensor
out_slice
=
output
->
Slice
<
T
>
(
i
,
i
+
1
);
out_slice
.
Resize
(
output_matrix_shape
);
col
.
Resize
(
col_matrix_shape
);
math
::
matmul
<
Place
,
T
>
(
*
filter
,
false
,
col
,
false
,
T
(
1.0
),
&
out_slice
,
T
(
0.0
),
device_context
);
math
::
matmul
<
Place
,
T
>
(
filter
,
false
,
col_matrix
,
false
,
T
(
1.0
),
&
out_slice
,
T
(
0.0
),
device_context
);
}
filter
->
Resize
(
filter_dims
);
}
};
...
...
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