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-Lite
提交
3297a5af
P
Paddle-Lite
项目概览
PaddlePaddle
/
Paddle-Lite
通知
331
Star
4
Fork
1
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
271
列表
看板
标记
里程碑
合并请求
78
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle-Lite
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
271
Issue
271
列表
看板
标记
里程碑
合并请求
78
合并请求
78
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
未验证
提交
3297a5af
编写于
3月 18, 2020
作者:
Z
zhupengyang
提交者:
GitHub
3月 18, 2020
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Revert "enhance shuffle-channel fuse pass (#3208)" (#3214)
This reverts commit
670fcc3c
.
上级
670fcc3c
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
60 addition
and
130 deletion
+60
-130
lite/core/mir/fusion/shuffle_channel_fuse_pass.cc
lite/core/mir/fusion/shuffle_channel_fuse_pass.cc
+5
-9
lite/core/mir/fusion/shuffle_channel_fuser.cc
lite/core/mir/fusion/shuffle_channel_fuser.cc
+53
-110
lite/core/mir/fusion/shuffle_channel_fuser.h
lite/core/mir/fusion/shuffle_channel_fuser.h
+2
-11
未找到文件。
lite/core/mir/fusion/shuffle_channel_fuse_pass.cc
浏览文件 @
3297a5af
...
...
@@ -23,15 +23,11 @@ namespace lite {
namespace
mir
{
void
ShuffleChannelFusePass
::
Apply
(
const
std
::
unique_ptr
<
SSAGraph
>&
graph
)
{
for
(
std
::
string
reshape_type
:
{
"reshape"
,
"reshape2"
})
{
for
(
std
::
string
transpose_type
:
{
"transpose"
,
"transpose2"
})
{
for
(
std
::
string
sub_structure
:
{
"r_t_r"
,
"s_t_r"
})
{
fusion
::
ShuffleChannelFuser
fuser
(
reshape_type
,
transpose_type
,
sub_structure
);
fuser
(
graph
.
get
());
}
}
}
fusion
::
ShuffleChannelFuser
fuser
(
"reshape"
,
"transpose"
);
fuser
(
graph
.
get
());
fusion
::
ShuffleChannelFuser
fuser2
(
"reshape2"
,
"transpose2"
);
fuser2
(
graph
.
get
());
}
}
// namespace mir
...
...
lite/core/mir/fusion/shuffle_channel_fuser.cc
浏览文件 @
3297a5af
...
...
@@ -22,107 +22,56 @@ namespace mir {
namespace
fusion
{
void
ShuffleChannelFuser
::
BuildPattern
()
{
if
(
sub_structure_
==
"r_t_r"
)
{
// create nodes.
auto
*
x1
=
VarNode
(
"x1"
)
->
assert_is_op_input
(
reshape_type_
,
"X"
);
auto
*
y1
=
VarNode
(
"y1"
)
->
assert_is_op_output
(
reshape_type_
,
"Out"
);
auto
*
y2
=
VarNode
(
"y2"
)
->
assert_is_op_output
(
transpose_type_
,
"Out"
);
auto
*
out
=
VarNode
(
"out"
)
->
assert_is_op_output
(
reshape_type_
,
"Out"
);
PMNode
*
xshape1
=
nullptr
;
PMNode
*
xshape2
=
nullptr
;
PMNode
*
xshape3
=
nullptr
;
if
(
reshape_type_
==
"reshape2"
)
{
xshape1
=
VarNode
(
"xshape1"
)
->
assert_is_op_output
(
reshape_type_
,
"XShape"
);
xshape3
=
VarNode
(
"xshape3"
)
->
assert_is_op_output
(
reshape_type_
,
"XShape"
);
}
if
(
transpose_type_
==
"transpose2"
)
{
xshape2
=
VarNode
(
"xshape2"
)
->
assert_is_op_output
(
transpose_type_
,
"XShape"
);
}
auto
*
reshape1
=
OpNode
(
"reshape1"
,
reshape_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"shape"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
5
&&
attr
[
1
]
>
0
;
});
auto
*
transpose
=
OpNode
(
"transpose_op"
,
transpose_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"axis"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
5
&&
attr
[
1
]
==
2
&&
attr
[
2
]
==
1
;
});
auto
*
reshape2
=
OpNode
(
"reshape2"
,
reshape_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"shape"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
4
;
});
// create topology.
*
x1
>>
*
reshape1
>>
*
y1
>>
*
transpose
>>
*
y2
>>
*
reshape2
>>
*
out
;
if
(
xshape1
)
*
reshape1
>>
*
xshape1
;
if
(
xshape2
)
*
transpose
>>
*
xshape2
;
if
(
xshape3
)
*
reshape2
>>
*
xshape3
;
// Some op specialities.
y1
->
AsIntermediate
();
y2
->
AsIntermediate
();
if
(
xshape1
)
xshape1
->
AsIntermediate
();
if
(
xshape2
)
xshape2
->
AsIntermediate
();
if
(
xshape3
)
xshape3
->
AsIntermediate
();
reshape1
->
AsIntermediate
();
transpose
->
AsIntermediate
();
reshape2
->
AsIntermediate
();
// create nodes.
auto
*
x1
=
VarNode
(
"x1"
)
->
assert_is_op_input
(
reshape_type_
,
"X"
);
auto
*
y1
=
VarNode
(
"y1"
)
->
assert_is_op_output
(
reshape_type_
,
"Out"
);
auto
*
y2
=
VarNode
(
"y2"
)
->
assert_is_op_output
(
transpose_type_
,
"Out"
);
auto
*
out
=
VarNode
(
"out"
)
->
assert_is_op_output
(
reshape_type_
,
"Out"
);
PMNode
*
xshape1
=
nullptr
;
PMNode
*
xshape2
=
nullptr
;
PMNode
*
xshape3
=
nullptr
;
if
(
reshape_type_
==
"reshape2"
)
{
xshape1
=
VarNode
(
"xshape1"
)
->
assert_is_op_output
(
reshape_type_
,
"XShape"
);
xshape3
=
VarNode
(
"xshape3"
)
->
assert_is_op_output
(
reshape_type_
,
"XShape"
);
}
if
(
sub_structure_
==
"s_t_r"
)
{
// create nodes.
auto
*
x1
=
VarNode
(
"x1"
)
->
assert_is_op_input
(
transpose_type_
,
"X"
)
->
assert_is_op_output
(
"stack"
,
"Y"
);
auto
*
y1
=
VarNode
(
"y1"
)
->
assert_is_op_output
(
transpose_type_
,
"Out"
);
auto
*
out
=
VarNode
(
"out"
)
->
assert_is_op_output
(
reshape_type_
,
"Out"
);
PMNode
*
xshape1
=
nullptr
;
PMNode
*
xshape2
=
nullptr
;
if
(
transpose_type_
==
"transpose2"
)
{
xshape1
=
VarNode
(
"xshape2"
)
->
assert_is_op_output
(
transpose_type_
,
"XShape"
);
}
if
(
reshape_type_
==
"reshape2"
)
{
xshape2
=
VarNode
(
"xshape1"
)
->
assert_is_op_output
(
reshape_type_
,
"XShape"
);
}
auto
*
stack
=
OpNode
(
"stack_op"
,
"stack"
)
->
assert_op_attr_satisfied
<
int
>
(
"axis"
,
[](
const
int
&
attr
)
{
return
attr
==
1
;
});
auto
*
transpose
=
OpNode
(
"transpose_op"
,
transpose_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"axis"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
5
&&
attr
[
1
]
==
2
&&
attr
[
2
]
==
1
;
});
auto
*
reshape
=
OpNode
(
"reshape_op"
,
reshape_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"shape"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
4
;
});
// create topology.
*
stack
>>
*
x1
>>
*
transpose
>>
*
y1
>>
*
reshape
>>
*
out
;
if
(
xshape1
)
*
transpose
>>
*
xshape1
;
if
(
xshape2
)
*
reshape
>>
*
xshape2
;
// Some op specialities.
y1
->
AsIntermediate
();
if
(
xshape1
)
xshape1
->
AsIntermediate
();
if
(
xshape2
)
xshape2
->
AsIntermediate
();
transpose
->
AsIntermediate
();
reshape
->
AsIntermediate
();
if
(
transpose_type_
==
"transpose2"
)
{
xshape2
=
VarNode
(
"xshape2"
)
->
assert_is_op_output
(
transpose_type_
,
"XShape"
);
}
auto
*
reshape1
=
OpNode
(
"reshape1"
,
reshape_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"shape"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
5
&&
attr
[
1
]
>
0
;
});
auto
*
transpose
=
OpNode
(
"transpose_op"
,
transpose_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"axis"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
5
&&
attr
[
1
]
==
2
&&
attr
[
2
]
==
1
;
});
auto
*
reshape2
=
OpNode
(
"reshape2"
,
reshape_type_
)
->
assert_op_attr_satisfied
<
std
::
vector
<
int
>>
(
"shape"
,
[](
const
std
::
vector
<
int
>&
attr
)
{
return
attr
.
size
()
>=
4
;
});
// create topology.
*
x1
>>
*
reshape1
>>
*
y1
>>
*
transpose
>>
*
y2
>>
*
reshape2
>>
*
out
;
if
(
xshape1
)
*
reshape1
>>
*
xshape1
;
if
(
xshape2
)
*
transpose
>>
*
xshape2
;
if
(
xshape3
)
*
reshape2
>>
*
xshape3
;
// Some op specialities.
y1
->
AsIntermediate
();
y2
->
AsIntermediate
();
if
(
xshape1
)
xshape1
->
AsIntermediate
();
if
(
xshape2
)
xshape2
->
AsIntermediate
();
if
(
xshape3
)
xshape3
->
AsIntermediate
();
reshape1
->
AsIntermediate
();
transpose
->
AsIntermediate
();
reshape2
->
AsIntermediate
();
}
void
ShuffleChannelFuser
::
InsertNewNode
(
SSAGraph
*
graph
,
...
...
@@ -146,17 +95,11 @@ cpp::OpDesc ShuffleChannelFuser::GenOpDesc(const key2nodes_t& matched) {
op_desc
.
SetType
(
"shuffle_channel"
);
op_desc
.
SetInput
(
"X"
,
{
matched
.
at
(
"x1"
)
->
arg
()
->
name
});
op_desc
.
SetOutput
(
"Out"
,
{
matched
.
at
(
"out"
)
->
arg
()
->
name
});
int
group
=
1
;
if
(
sub_structure_
==
"r_t_r"
)
{
group
=
matched
.
at
(
"reshape1"
)
->
stmt
()
->
op_info
()
->
GetAttr
<
std
::
vector
<
int
>>
(
"shape"
)[
1
];
}
if
(
sub_structure_
==
"s_t_r"
)
{
group
=
matched
.
at
(
"stack_op"
)
->
inlinks
.
size
();
}
op_desc
.
SetAttr
(
"group"
,
group
);
op_desc
.
SetAttr
(
"group"
,
matched
.
at
(
"reshape1"
)
->
stmt
()
->
op_info
()
->
GetAttr
<
std
::
vector
<
int
>>
(
"shape"
)[
1
]);
return
op_desc
;
}
...
...
lite/core/mir/fusion/shuffle_channel_fuser.h
浏览文件 @
3297a5af
...
...
@@ -26,25 +26,16 @@ namespace fusion {
class
ShuffleChannelFuser
:
public
FuseBase
{
public:
explicit
ShuffleChannelFuser
(
const
std
::
string
&
reshape_type
,
const
std
::
string
&
transpose_type
,
const
std
::
string
&
sub_structure
)
:
reshape_type_
(
reshape_type
),
transpose_type_
(
transpose_type
),
sub_structure_
(
sub_structure
)
{}
const
std
::
string
&
transpose_type
)
:
reshape_type_
(
reshape_type
),
transpose_type_
(
transpose_type
)
{}
void
BuildPattern
()
override
;
void
InsertNewNode
(
SSAGraph
*
graph
,
const
key2nodes_t
&
matched
)
override
;
private:
cpp
::
OpDesc
GenOpDesc
(
const
key2nodes_t
&
matched
)
override
;
// reshape or reshape2
std
::
string
reshape_type_
;
// transpose or transpose2
std
::
string
transpose_type_
;
// r_t_r or t_r
// r_t_r: reshape + transpose + reshape
// s_t_r: stack + transpose + reshape
std
::
string
sub_structure_
;
};
}
// namespace fusion
...
...
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