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
csdn_franckjun
Paddle
提交
9310e56a
P
Paddle
项目概览
csdn_franckjun
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
1
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1
列表
看板
标记
里程碑
合并请求
0
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
Issue
1
列表
看板
标记
里程碑
合并请求
0
合并请求
0
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 >>
未验证
提交
9310e56a
编写于
9月 01, 2022
作者:
Z
zhangyikun02
提交者:
GitHub
9月 01, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
move range kernel to phi, test=kunlun (#45602)
上级
663ebd5f
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
68 addition
and
72 deletion
+68
-72
cmake/external/xpu.cmake
cmake/external/xpu.cmake
+2
-2
paddle/fluid/operators/range_op_xpu.cc
paddle/fluid/operators/range_op_xpu.cc
+0
-70
paddle/phi/kernels/xpu/arange_kernel.cc
paddle/phi/kernels/xpu/arange_kernel.cc
+66
-0
未找到文件。
cmake/external/xpu.cmake
浏览文件 @
9310e56a
...
...
@@ -10,7 +10,7 @@ set(XPU_RT_LIB_NAME "libxpurt.so")
if
(
NOT DEFINED XPU_BASE_URL
)
set
(
XPU_BASE_URL_WITHOUT_DATE
"https://baidu-kunlun-product.cdn.bcebos.com/KL-SDK/klsdk-dev"
)
set
(
XPU_BASE_URL
"
${
XPU_BASE_URL_WITHOUT_DATE
}
/202208
12
"
)
set
(
XPU_BASE_URL
"
${
XPU_BASE_URL_WITHOUT_DATE
}
/202208
20
"
)
else
()
set
(
XPU_BASE_URL
"
${
XPU_BASE_URL
}
"
)
endif
()
...
...
@@ -19,7 +19,7 @@ endif()
if
(
NOT DEFINED XPU_XDNN_BASE_URL
)
set
(
XPU_XDNN_BASE_URL_WITHOUT_DATE
"https://klx-sdk-release-public.su.bcebos.com/xdnn/dev"
)
set
(
XPU_XDNN_BASE_URL
"
${
XPU_XDNN_BASE_URL_WITHOUT_DATE
}
/202208
12
"
)
set
(
XPU_XDNN_BASE_URL
"
${
XPU_XDNN_BASE_URL_WITHOUT_DATE
}
/202208
20
"
)
else
()
set
(
XPU_XDNN_BASE_URL
"
${
XPU_XDNN_BASE_URL
}
"
)
endif
()
...
...
paddle/fluid/operators/range_op_xpu.cc
已删除
100644 → 0
浏览文件 @
663ebd5f
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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. */
#ifdef PADDLE_WITH_XPU
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/range_op.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
class
XPURangeKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
start_t
=
context
.
Input
<
framework
::
Tensor
>
(
"Start"
);
auto
*
end_t
=
context
.
Input
<
framework
::
Tensor
>
(
"End"
);
auto
*
step_t
=
context
.
Input
<
framework
::
Tensor
>
(
"Step"
);
auto
*
out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
framework
::
Tensor
n
;
framework
::
TensorCopySync
(
*
start_t
,
platform
::
CPUPlace
(),
&
n
);
T
start
=
n
.
data
<
T
>
()[
0
];
framework
::
TensorCopySync
(
*
end_t
,
platform
::
CPUPlace
(),
&
n
);
T
end
=
n
.
data
<
T
>
()[
0
];
framework
::
TensorCopySync
(
*
step_t
,
platform
::
CPUPlace
(),
&
n
);
T
step
=
n
.
data
<
T
>
()[
0
];
int64_t
size
=
0
;
GetSize
(
start
,
end
,
step
,
&
size
);
out
->
Resize
(
phi
::
make_ddim
({
size
}));
T
*
out_data
=
out
->
mutable_data
<
T
>
(
context
.
GetPlace
());
framework
::
Tensor
out_cpu
;
T
*
out_cpu_data_ptr
=
out_cpu
.
mutable_data
<
T
>
(
platform
::
CPUPlace
(),
out
->
numel
()
*
sizeof
(
T
));
T
value
=
start
;
for
(
int64_t
i
=
0
;
i
<
size
;
++
i
)
{
out_cpu_data_ptr
[
i
]
=
value
;
value
+=
step
;
}
memory
::
Copy
(
context
.
GetPlace
(),
static_cast
<
void
*>
(
out_data
),
platform
::
CPUPlace
(),
static_cast
<
void
*>
(
out_cpu_data_ptr
),
out
->
numel
()
*
sizeof
(
T
));
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_XPU_KERNEL
(
range
,
ops
::
XPURangeKernel
<
int
>
,
ops
::
XPURangeKernel
<
int64_t
>
,
ops
::
XPURangeKernel
<
float
>
,
ops
::
XPURangeKernel
<
double
>
);
#endif // PADDLE_WITH_XPU
paddle/phi/kernels/xpu/arange_kernel.cc
0 → 100644
浏览文件 @
9310e56a
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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/phi/kernels/arange_kernel.h"
#include "paddle/fluid/memory/memcpy.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/range_function.h"
namespace
phi
{
template
<
typename
T
,
typename
Context
>
void
ArangeKernel
(
const
Context
&
dev_ctx
,
const
DenseTensor
&
start
,
const
DenseTensor
&
end
,
const
DenseTensor
&
step
,
DenseTensor
*
out
)
{
auto
place
=
dev_ctx
.
GetPlace
();
auto
cpu_place
=
phi
::
CPUPlace
();
DenseTensor
n_cpu
;
n_cpu
.
Resize
({
start
.
numel
()});
T
*
n_cpu_data
=
dev_ctx
.
template
HostAlloc
<
T
>(
&
n_cpu
);
paddle
::
memory
::
Copy
(
cpu_place
,
n_cpu_data
,
place
,
start
.
data
<
T
>
(),
sizeof
(
T
)
*
start
.
numel
());
T
start_value
=
n_cpu_data
[
0
];
paddle
::
memory
::
Copy
(
cpu_place
,
n_cpu_data
,
place
,
end
.
data
<
T
>
(),
sizeof
(
T
)
*
end
.
numel
());
T
end_value
=
n_cpu_data
[
0
];
paddle
::
memory
::
Copy
(
cpu_place
,
n_cpu_data
,
place
,
step
.
data
<
T
>
(),
sizeof
(
T
)
*
step
.
numel
());
T
step_value
=
n_cpu_data
[
0
];
int64_t
size
=
0
;
phi
::
funcs
::
GetSize
(
start_value
,
end_value
,
step_value
,
&
size
);
out
->
Resize
(
phi
::
make_ddim
({
size
}));
T
*
out_data
=
dev_ctx
.
template
Alloc
<
T
>(
out
);
DenseTensor
out_cpu
;
out_cpu
.
Resize
({
out
->
numel
()});
T
*
out_cpu_data
=
dev_ctx
.
template
HostAlloc
<
T
>(
&
out_cpu
);
T
value
=
start_value
;
for
(
int64_t
i
=
0
;
i
<
size
;
++
i
)
{
out_cpu_data
[
i
]
=
value
;
value
+=
step_value
;
}
paddle
::
memory
::
Copy
(
place
,
out_data
,
cpu_place
,
out_cpu_data
,
out
->
numel
()
*
sizeof
(
T
));
}
}
// namespace phi
PD_REGISTER_KERNEL
(
arange
,
XPU
,
ALL_LAYOUT
,
phi
::
ArangeKernel
,
float
,
double
,
int
,
int64_t
)
{}
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