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
TonyTonyFun
Paddle
提交
fc5fa0de
P
Paddle
项目概览
TonyTonyFun
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
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
0
Issue
0
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
fc5fa0de
编写于
1月 28, 2022
作者:
Z
zyfncg
提交者:
GitHub
1月 28, 2022
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Auto-geneate kernel signature in C++ API (#39281)
上级
543f3dea
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
44 addition
and
142 deletion
+44
-142
paddle/pten/api/include/kernel_signature.h
paddle/pten/api/include/kernel_signature.h
+0
-128
python/paddle/utils/code_gen/api_gen.py
python/paddle/utils/code_gen/api_gen.py
+5
-5
python/paddle/utils/code_gen/backward_api_gen.py
python/paddle/utils/code_gen/backward_api_gen.py
+12
-7
python/paddle/utils/code_gen/gen_utils.py
python/paddle/utils/code_gen/gen_utils.py
+27
-2
未找到文件。
paddle/pten/api/include/kernel_signature.h
已删除
100644 → 0
浏览文件 @
543f3dea
/* Copyright (c) 2021 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. */
#pragma once
#include "paddle/fluid/platform/device_context.h"
#include "paddle/pten/common/scalar.h"
#include "paddle/pten/common/scalar_array.h"
#include "paddle/pten/core/dense_tensor.h"
// This header is used to cast kernel function from void* to original form of
// function Currnetly.
// It may be generated automatically in the future.
namespace
pten
{
using
DeviceContext
=
paddle
::
platform
::
DeviceContext
;
using
add_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
DenseTensor
*
);
using
cast_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
DataType
,
DenseTensor
*
);
using
concat_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
std
::
vector
<
DenseTensor
>&
,
const
Scalar
&
,
DenseTensor
*
);
using
divide_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
DenseTensor
*
);
using
dot_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
DenseTensor
*
);
using
flatten_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
int
,
int
,
DenseTensor
*
);
using
empty_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
ScalarArray
&
,
DenseTensor
*
);
using
empty_like_kernel
=
void
(
*
)(
const
DeviceContext
&
,
DenseTensor
*
);
using
full_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
ScalarArray
&
,
const
Scalar
&
,
DenseTensor
*
);
using
full_like_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
Scalar
&
,
DenseTensor
*
);
using
matmul_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
bool
,
bool
,
DenseTensor
*
);
using
mean_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
std
::
vector
<
int64_t
>&
,
bool
,
DenseTensor
*
);
using
multiply_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
DenseTensor
*
);
using
reshape_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
ScalarArray
&
,
DenseTensor
*
);
using
scale_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
Scalar
&
,
float
,
bool
,
DenseTensor
*
);
using
sum_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
std
::
vector
<
int64_t
>&
,
DataType
,
bool
,
DenseTensor
*
);
using
subtract_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
DenseTensor
*
);
using
conj_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
DenseTensor
*
);
/* -------------- Grad Kernel ----------------- */
using
matmul_grad_kernel
=
void
(
*
)(
const
DeviceContext
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
const
DenseTensor
&
,
bool
,
bool
,
DenseTensor
*
,
DenseTensor
*
);
}
// namespace pten
python/paddle/utils/code_gen/api_gen.py
浏览文件 @
fc5fa0de
...
...
@@ -27,6 +27,7 @@ class API:
# args:
# inputs:
# names : [], list of input names
# input_info : {input_name : type}
# attrs:
# names : [], list of attribute names
# attr_info : { attr_name : (type, default_values)}
...
...
@@ -91,8 +92,8 @@ PADDLE_API {self.return_type} {self.api}({self.args['args_declare']});
def
gene_api_code
(
self
):
if
self
.
is_base_api
:
input_tensors
,
kernel_args
=
gen_utils
.
get_kernel_args
(
self
.
args
[
'inputs'
]
[
'names'
],
self
.
args
[
'attrs'
]
,
input_tensors
,
kernel_args
,
kernel_signature
=
gen_utils
.
get_kernel_args
(
self
.
args
[
'inputs'
]
,
self
.
args
[
'attrs'
],
self
.
out_type_list
,
self
.
kernel
[
'param'
])
outputs_args
,
output_create
=
self
.
gene_output
(
self
.
out_type_list
)
return
f
"""
...
...
@@ -103,8 +104,8 @@ PADDLE_API {self.return_type} {self.api}({self.args["args_define"]}) {{
{
input_tensors
}
{
gen_utils
.
gene_infer_meta
(
self
.
args
[
'inputs'
][
'names'
],
self
.
args
[
'attrs'
][
'names'
],
self
.
infer_meta
)
}
{
output_create
}
auto* kernel_fn = kernel.GetVariadicKernelFn<
pten::
{
self
.
api
}
_kernel
>();
using kernel_signature =
{
kernel_signature
}
;
auto* kernel_fn = kernel.GetVariadicKernelFn<
kernel_signature
>();
(*kernel_fn)(
{
kernel_args
}
,
{
outputs_args
}
);
return out;
...
...
@@ -136,7 +137,6 @@ def source_include(header_file_path):
#include "glog/logging.h"
#include "paddle/pten/api/include/kernel_signature.h"
#include "paddle/pten/api/lib/api_registry.h"
#include "paddle/pten/api/lib/api_utils.h"
#include "paddle/pten/api/lib/kernel_dispatch.h"
...
...
python/paddle/utils/code_gen/backward_api_gen.py
浏览文件 @
fc5fa0de
...
...
@@ -108,7 +108,6 @@ class BackwardAPI:
output_create
=
""
if
len
(
output_type_list
)
==
1
:
return_type
=
output_type_list
[
0
]
kernel_output
=
'dense_out'
output_create
=
f
"""
{
self
.
return_type
}
out;
...
...
@@ -116,11 +115,17 @@ class BackwardAPI:
elif
len
(
output_type_list
)
>
1
:
output_create
=
f
"""
{
self
.
return_type
}
out;"""
{
self
.
return_type
}
out
(
{
len
(
output_type_list
)
}
)
;"""
for
i
,
out_type_item
in
enumerate
(
output_type_list
):
kernel_output
=
kernel_output
+
f
'dense_out_
{
i
}
, '
get_out_code
=
f
'&out[
{
i
}
][0]'
if
out_type_item
==
'Tensor'
else
f
'&out[
{
i
}
]'
if
out_type_item
==
'Tensor'
:
get_out_code
=
f
'&out[
{
i
}
][0]'
output_create
=
output_create
+
f
"""
out[
{
i
}
].emplace_back();"""
else
:
get_out_code
=
f
'&out[
{
i
}
]'
output_create
=
output_create
+
f
"""
auto dense_out_
{
i
}
= SetKernelOutput(std::get<
{
i
}
>(out_meta), kernel_backend,
{
get_out_code
}
);"""
...
...
@@ -134,8 +139,8 @@ class BackwardAPI:
def
gene_api_code
(
self
):
if
self
.
is_base_api
:
input_tensors
,
kernel_args
=
gen_utils
.
get_kernel_args
(
self
.
args
[
'inputs'
]
[
'names'
],
self
.
args
[
'attrs'
]
,
input_tensors
,
kernel_args
,
kernel_signature
=
gen_utils
.
get_kernel_args
(
self
.
args
[
'inputs'
]
,
self
.
args
[
'attrs'
],
self
.
output_type_list
,
self
.
kernel
[
'param'
])
outputs_args
,
output_create
=
self
.
gene_output
(
self
.
output_type_list
)
...
...
@@ -149,7 +154,8 @@ class BackwardAPI:
{
gen_utils
.
gene_infer_meta
(
self
.
args
[
'inputs'
][
'names'
],
self
.
args
[
'attrs'
][
'names'
],
self
.
infer_meta
)
}
{
output_create
}
auto* kernel_fn = kernel.GetVariadicKernelFn<pten::
{
self
.
backward_api
}
_kernel>();
using kernel_signature =
{
kernel_signature
}
;
auto* kernel_fn = kernel.GetVariadicKernelFn<kernel_signature>();
(*kernel_fn)(
{
kernel_args
}
,
{
outputs_args
}
);
return out;
...
...
@@ -197,7 +203,6 @@ def source_include(header_file_path):
#include "glog/logging.h"
#include "paddle/pten/api/include/kernel_signature.h"
#include "paddle/pten/api/lib/api_registry.h"
#include "paddle/pten/api/lib/api_utils.h"
#include "paddle/pten/api/lib/kernel_dispatch.h"
...
...
python/paddle/utils/code_gen/gen_utils.py
浏览文件 @
fc5fa0de
...
...
@@ -287,7 +287,21 @@ def gene_infer_meta(input_names, attr_names, infer_meta) -> str:
"""
def
get_kernel_args
(
input_names
,
attrs
,
kernel_param
):
def
get_kernel_args
(
inputs
,
attrs
,
out_type_list
,
kernel_param
):
input_trans_map
=
{
'const Tensor&'
:
'const pten::DenseTensor&'
,
'const Tensor &'
:
'const pten::DenseTensor&'
,
'const std::vector<Tensor>&'
:
'const std::vector<pten::DenseTensor>&'
,
'const std::vector<Tensor> &'
:
'const std::vector<pten::DenseTensor>&'
}
out_trans_map
=
{
'Tensor'
:
'pten::DenseTensor*'
,
'std::vector<Tensor>'
:
'std::vector<pten::DenseTensor*>&'
}
input_names
=
inputs
[
'names'
]
input_infos
=
inputs
[
'input_info'
]
kernel_args_type_list
=
[
'const platform::DeviceContext&'
]
input_tensor_code
=
""
for
input_name
in
input_names
:
# set input code
...
...
@@ -302,15 +316,26 @@ def get_kernel_args(input_names, attrs, kernel_param):
for
param
in
kernel_param
:
if
param
in
input_names
:
kernel_args
=
kernel_args
+
"*"
+
PREFIX_TENSOR_NAME
+
param
+
", "
kernel_args_type_list
.
append
(
input_trans_map
[
input_infos
[
param
]])
elif
param
in
attr_names
:
# set attr for kernel_context
if
'ScalarArray'
in
attrs
[
'attr_info'
][
param
][
0
]:
kernel_args_type_list
.
append
(
'const pten::ScalarArray&'
)
param
=
'pten::ScalarArray('
+
param
+
')'
elif
'Scalar'
in
attrs
[
'attr_info'
][
param
][
0
]:
kernel_args_type_list
.
append
(
'const pten::Scalar&'
)
param
=
'pten::Scalar('
+
param
+
')'
else
:
kernel_args_type_list
.
append
(
attrs
[
'attr_info'
][
param
][
0
])
kernel_args
=
kernel_args
+
param
+
", "
elif
isinstance
(
param
,
bool
):
kernel_args
=
kernel_args
+
str
(
param
).
lower
()
+
", "
else
:
kernel_args
=
kernel_args
+
str
(
param
)
+
", "
return
input_tensor_code
,
kernel_args
[:
-
2
]
for
out_type
in
out_type_list
:
kernel_args_type_list
.
append
(
out_trans_map
[
out_type
])
kernel_signature
=
"void(*)("
+
", "
.
join
(
kernel_args_type_list
)
+
")"
return
input_tensor_code
,
kernel_args
[:
-
2
],
kernel_signature
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