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
6bb4a6fd
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
6bb4a6fd
编写于
12月 19, 2017
作者:
F
fengjiayi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
update
上级
b3ea677a
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
72 addition
and
14 deletion
+72
-14
paddle/pybind/protobuf.cc
paddle/pybind/protobuf.cc
+13
-3
paddle/pybind/pybind.cc
paddle/pybind/pybind.cc
+1
-0
python/paddle/v2/fluid/backward.py
python/paddle/v2/fluid/backward.py
+58
-11
未找到文件。
paddle/pybind/protobuf.cc
浏览文件 @
6bb4a6fd
...
...
@@ -236,15 +236,25 @@ void BindOpDesc(py::module &m) {
.
value
(
"BLOCK"
,
AttrType
::
BLOCK
);
py
::
class_
<
OpDescBind
>
op_desc
(
m
,
"OpDesc"
,
""
);
op_desc
.
def
(
"type"
,
&
OpDescBind
::
Type
)
op_desc
.
def
(
"__init__"
,
[](
OpDescBind
&
self
,
const
std
::
string
&
type
,
const
VariableNameMap
&
inputs
,
const
VariableNameMap
&
outputs
,
const
AttributeMap
&
attrs
)
{
new
(
&
self
)
OpDescBind
(
type
,
inputs
,
outputs
,
attrs
);
})
.
def
(
"type"
,
&
OpDescBind
::
Type
)
.
def
(
"set_type"
,
&
OpDescBind
::
SetType
)
.
def
(
"input"
,
&
OpDescBind
::
Input
)
.
def
(
"input_names"
,
&
OpDescBind
::
InputNames
)
.
def
(
"set_input"
,
&
OpDescBind
::
SetInput
)
.
def
(
"output"
,
&
OpDescBind
::
Output
)
.
def
(
"output_names"
,
&
OpDescBind
::
OutputNames
)
.
def
(
"
output_arg_names"
,
&
OpDescBind
::
OutputArgumentNames
)
.
def
(
"
set_input"
,
&
OpDescBind
::
SetInput
)
.
def
(
"set_output"
,
&
OpDescBind
::
SetOutput
)
.
def
(
"input_arg_names"
,
&
OpDescBind
::
InputArgumentNames
)
.
def
(
"output_arg_names"
,
&
OpDescBind
::
OutputArgumentNames
)
.
def
(
"rename_input"
,
&
OpDescBind
::
RenameInput
)
.
def
(
"rename_output"
,
&
OpDescBind
::
RenameOutput
)
.
def
(
"has_attr"
,
&
OpDescBind
::
HasAttr
)
.
def
(
"attr_type"
,
&
OpDescBind
::
GetAttrType
)
.
def
(
"attr_names"
,
&
OpDescBind
::
AttrNames
)
...
...
paddle/pybind/pybind.cc
浏览文件 @
6bb4a6fd
...
...
@@ -314,6 +314,7 @@ All parameter, weight, gradient are variables in Paddle.
InferenceOptimize
(
*
(
origin
.
Proto
()),
&
pruned_desc
);
return
new
ProgramDescBind
(
pruned_desc
);
});
m
.
def
(
"get_empty_var_name"
,
[]()
{
return
framework
::
kEmptyVarName
;
});
m
.
def_submodule
(
"var_names"
,
"The module will return special predefined variable name in Paddle"
)
...
...
python/paddle/v2/fluid/backward.py
浏览文件 @
6bb4a6fd
...
...
@@ -5,8 +5,19 @@ import collections
__all__
=
[
'append_backward_ops'
]
def
backward_impl
(
block
,
target_block
,
no_grad_set
,
grad_to_var
,
callback
):
def
rename_arg
(
op_desc_list
,
old_name
,
new_name
,
begin_idx
=
None
,
end_idx
=
None
):
if
begin_idx
is
None
:
begin_idx
=
0
if
end_idx
is
None
:
end_idx
=
len
(
op_desc_list
)
for
i
in
range
(
begin_idx
,
end_idx
):
op_desc_list
[
i
].
rename_input
(
old_name
,
new_name
)
op_desc_list
[
i
].
rename_output
(
old_name
,
new_name
)
def
backward_impl
(
block
,
target_block
,
no_grad_set
,
callback
=
None
):
grad_op_descs
=
[]
grad_to_var
=
{}
program
=
block
.
program
for
each_op
in
block
.
ops
:
grad_sub_block_list
=
[]
...
...
@@ -14,8 +25,7 @@ def backward_impl(block, target_block, no_grad_set, grad_to_var, callback):
sub_block_idx
=
each_op
.
block_attr
(
"sub_block"
)
sub_block
=
program
.
block
(
sub_block_idx
)
grad_sub_block
=
program
.
create_block
(
parent_idx
=
sub_block_idx
)
backward_impl
(
sub_block
,
grad_sub_block
,
no_grad_set
,
grad_to_var
,
callback
)
backward_impl
(
sub_block
,
grad_sub_block
,
no_grad_set
,
callback
)
grad_sub_block_list
.
append
(
grad_sub_block
)
grad_op_desc
=
core
.
get_grad_op_desc
(
each_op
.
desc
,
no_grad_set
[
block
.
idx
],
...
...
@@ -25,16 +35,53 @@ def backward_impl(block, target_block, no_grad_set, grad_to_var, callback):
# flatten grad_op_descs
grad_op_descs
=
[
op
for
sublist
in
grad_op_descs
for
op
in
sublist
]
# ?????
output_vars
=
collections
.
defaultdict
(
list
)
pending_sum_ops
=
[]
var_rename_count
=
collections
.
defaultdict
(
int
)
var_inputs
=
collections
.
defaultdict
(
list
)
for
pos
,
op_desc
in
enumerate
(
grad_op_descs
):
for
var_name
in
op_desc
.
input_arg_names
():
if
len
(
var_inputs
[
var_name
])
>
1
:
pending_sum_ops
.
append
((
core
.
OpDesc
(
type
=
"sum_op"
,
inputs
=
var_inputs
[
var_name
],
output
=
[
var_name
],
attrs
=
{}),
pos
))
var_inputs
[
var_name
]
=
[
var_name
]
for
var_name
in
op_desc
.
output_arg_names
():
output_vars
[
var_name
].
append
(
pos
)
for
var_name
,
poses
in
output_vars
.
iteritems
():
if
len
(
poses
)
==
1
:
continue
renamed_list
=
[]
for
pos
in
reversed
(
sorted
(
poses
)):
new_name
=
var_name
+
"@RENAMED@"
+
len
(
renamed_list
)
if
len
(
var_inputs
[
var_name
])
==
0
:
# it's the first time we get the variable
var_inputs
[
var_name
]
=
var_name
else
:
if
len
(
var_inputs
[
var_name
]
==
1
):
new_name
=
var_name
+
"@RENAME@"
+
\
str
(
var_rename_count
[
var_name
])
var_rename_count
[
var_name
]
=
var_rename_count
[
var_name
]
+
1
# rename original var_name
var_inputs
[
var_name
][
0
]
=
new_name
rename_arg
(
grad_op_descs
,
var_name
,
new_name
,
0
,
pos
)
rename_arg
(
pending_sum_ops
,
var_name
,
new_name
)
new_name
=
var_name
+
"@RENAME@"
+
\
str
(
var_rename_count
[
var_name
])
var_rename_count
[
var_name
]
=
var_rename_count
[
var_name
]
+
1
op_desc
.
rename_output
(
var_name
,
new_name
)
var_inputs
[
var_name
].
append
(
new_name
)
for
var_name
,
inputs
in
var_inputs
.
iteritems
():
if
len
(
inputs
)
>
1
:
pending_sum_ops
.
append
((
core
.
OpDesc
(
type
=
"sum_op"
,
inputs
=
inputs
,
outputs
=
var_name
,
attrs
=
{}),
len
(
grad_op_descs
)))
# 根据append的顺序可以看出pending_sum_ops一定是根据sum_op的插入位置排序的
for
p
in
reversed
(
pending_sum_ops
):
grad_op_descs
.
insert
(
p
[
1
],
p
[
0
])
# create new gradient variables in the target block
for
op_desc
in
grad_op_descs
:
for
grad_var_name
in
op_desc
.
output_arg_names
():
if
target_block
.
has_var
(
grad_var_name
)
or
grad_var_name
==
core
.
get_empty_var_name
(
):
continue
target_block
.
var
(
grad_var_name
)
def
append_backward_ops
(
loss
,
parameter_list
=
None
,
no_grad_set
=
None
):
...
...
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