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
Paddle
提交
4a11fdb4
P
Paddle
项目概览
PaddlePaddle
/
Paddle
大约 1 年 前同步成功
通知
2299
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
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
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
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
提交
4a11fdb4
编写于
12月 29, 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
follow comments
上级
8bd75900
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
35 addition
and
35 deletion
+35
-35
paddle/operators/cos_sim_op.cc
paddle/operators/cos_sim_op.cc
+5
-5
paddle/operators/cos_sim_op.cu
paddle/operators/cos_sim_op.cu
+6
-6
paddle/operators/cos_sim_op.h
paddle/operators/cos_sim_op.h
+24
-24
未找到文件。
paddle/operators/cos_sim_op.cc
浏览文件 @
4a11fdb4
...
...
@@ -155,11 +155,11 @@ struct CosSimDyFunctor<platform::CPUDeviceContext, T> {
const
T
*
y_norm
,
const
T
*
x
,
const
T
*
y
,
const
T
*
z
,
const
T
*
dz
,
const
size_t
rows
,
const
size_t
cols
,
T
*
dy
)
const
{
for
(
size_t
offset
=
0
;
offset
<
rows
;
++
offset
)
{
auto
xy_norm_prod
=
x_norm
[
offset
]
*
y_norm
[
0
];
auto
dz_data
=
dz
[
offset
];
auto
z_data
=
z
[
offset
];
auto
*
x_data
=
x
+
cols
*
offset
;
for
(
size_t
row_id
=
0
;
row_id
<
rows
;
++
row_id
)
{
auto
xy_norm_prod
=
x_norm
[
row_id
]
*
y_norm
[
0
];
auto
dz_data
=
dz
[
row_id
];
auto
z_data
=
z
[
row_id
];
auto
*
x_data
=
x
+
cols
*
row_id
;
auto
reciprocal_xy_norm_prod
=
1
/
xy_norm_prod
;
auto
y_norm_square
=
y_norm
[
0
]
*
y_norm
[
0
];
...
...
paddle/operators/cos_sim_op.cu
浏览文件 @
4a11fdb4
...
...
@@ -25,12 +25,12 @@ __global__ void CosSimDyKernel(const T* x_norm, const T* y_norm, const T* x,
const
size_t
rows
,
const
size_t
cols
,
T
*
dy
)
{
int
grid_size
=
blockDim
.
x
*
gridDim
.
x
;
T
y_norm_data
=
y_norm
[
0
];
for
(
int
offset
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
offset
<
rows
;
offset
+=
grid_size
)
{
T
xy_norm_prod
=
x_norm
[
offset
]
*
y_norm_data
;
T
dz_data
=
dz
[
offset
];
T
z_data
=
z
[
offset
];
const
T
*
x_data
=
x
+
cols
*
offset
;
for
(
int
row_id
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
row_id
<
rows
;
row_id
+=
grid_size
)
{
T
xy_norm_prod
=
x_norm
[
row_id
]
*
y_norm_data
;
T
dz_data
=
dz
[
row_id
];
T
z_data
=
z
[
row_id
];
const
T
*
x_data
=
x
+
cols
*
row_id
;
T
reciprocal_xy_norm_prod
=
1
/
xy_norm_prod
;
T
y_norm_square
=
y_norm_data
*
y_norm_data
;
...
...
paddle/operators/cos_sim_op.h
浏览文件 @
4a11fdb4
...
...
@@ -32,11 +32,11 @@ struct CosSimFunctor {
z_
(
z
),
cols_
(
static_cast
<
size_t
>
(
cols
))
{}
inline
HOSTDEVICE
void
operator
()(
size_t
offset
)
const
{
auto
*
x
=
x_
+
cols_
*
offset
;
inline
HOSTDEVICE
void
operator
()(
size_t
row_id
)
const
{
auto
*
x
=
x_
+
cols_
*
row_id
;
T
xx
=
0
,
xy
=
0
,
yy
=
0
;
if
(
same_row
)
{
auto
*
y
=
y_
+
cols_
*
offset
;
auto
*
y
=
y_
+
cols_
*
row_id
;
T
tep_x
,
tep_y
;
for
(
size_t
i
=
0
;
i
<
cols_
;
++
i
)
{
tep_x
=
x
[
i
];
...
...
@@ -47,9 +47,9 @@ struct CosSimFunctor {
}
xx
=
sqrt
(
xx
);
yy
=
sqrt
(
yy
);
y_norm_
[
offset
]
=
yy
;
x_norm_
[
offset
]
=
xx
;
z_
[
offset
]
=
xy
/
(
xx
*
yy
);
y_norm_
[
row_id
]
=
yy
;
x_norm_
[
row_id
]
=
xx
;
z_
[
row_id
]
=
xy
/
(
xx
*
yy
);
}
else
{
// This can be wrote in a better way.
T
tep_x
,
tep_y
;
for
(
size_t
i
=
0
;
i
<
cols_
;
++
i
)
{
...
...
@@ -61,9 +61,9 @@ struct CosSimFunctor {
}
xx
=
sqrt
(
xx
);
yy
=
sqrt
(
yy
);
if
(
offset
==
0
)
y_norm_
[
0
]
=
yy
;
x_norm_
[
offset
]
=
xx
;
z_
[
offset
]
=
xy
/
(
xx
*
yy
);
if
(
row_id
==
0
)
y_norm_
[
0
]
=
yy
;
x_norm_
[
row_id
]
=
xx
;
z_
[
row_id
]
=
xy
/
(
xx
*
yy
);
}
}
...
...
@@ -125,15 +125,15 @@ struct CosSimGradFunctor {
dx_
(
dx
),
cols_
(
static_cast
<
size_t
>
(
cols
))
{}
inline
HOSTDEVICE
void
operator
()(
size_t
offset
)
const
{
auto
x_norm_square
=
x_norm_
[
offset
]
*
x_norm_
[
offset
];
auto
xy_norm_prod
=
x_norm_
[
offset
]
*
y_norm_
[
offset
];
auto
dz
=
dz_
[
offset
];
auto
z
=
z_
[
offset
];
inline
HOSTDEVICE
void
operator
()(
size_t
row_id
)
const
{
auto
x_norm_square
=
x_norm_
[
row_id
]
*
x_norm_
[
row_id
];
auto
xy_norm_prod
=
x_norm_
[
row_id
]
*
y_norm_
[
row_id
];
auto
dz
=
dz_
[
row_id
];
auto
z
=
z_
[
row_id
];
auto
*
dx
=
dx_
+
cols_
*
offset
;
auto
*
x
=
x_
+
cols_
*
offset
;
auto
*
y
=
y_
+
cols_
*
offset
;
auto
*
dx
=
dx_
+
cols_
*
row_id
;
auto
*
x
=
x_
+
cols_
*
row_id
;
auto
*
y
=
y_
+
cols_
*
row_id
;
auto
reciprocal_xy_norm_prod
=
1
/
xy_norm_prod
;
auto
reciprocal_x_norm_square
=
1
/
x_norm_square
;
...
...
@@ -166,14 +166,14 @@ struct CosSimDxFunctor {
dx_
(
dx
),
cols_
(
static_cast
<
size_t
>
(
cols
))
{}
inline
HOSTDEVICE
void
operator
()(
size_t
offset
)
const
{
auto
xy_norm_prod
=
x_norm_
[
offset
]
*
y_norm_
[
0
];
auto
dz
=
dz_
[
offset
];
auto
z
=
z_
[
offset
];
auto
*
x
=
x_
+
cols_
*
offset
;
inline
HOSTDEVICE
void
operator
()(
size_t
row_id
)
const
{
auto
xy_norm_prod
=
x_norm_
[
row_id
]
*
y_norm_
[
0
];
auto
dz
=
dz_
[
row_id
];
auto
z
=
z_
[
row_id
];
auto
*
x
=
x_
+
cols_
*
row_id
;
auto
reciprocal_xy_norm_prod
=
1
/
xy_norm_prod
;
auto
x_norm_square
=
x_norm_
[
offset
]
*
x_norm_
[
offset
];
auto
*
dx
=
dx_
+
cols_
*
offset
;
auto
x_norm_square
=
x_norm_
[
row_id
]
*
x_norm_
[
row_id
];
auto
*
dx
=
dx_
+
cols_
*
row_id
;
auto
reciprocal_x_norm_square
=
1
/
x_norm_square
;
for
(
size_t
i
=
0
;
i
<
cols_
;
++
i
)
{
...
...
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