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0ddc5d86
编写于
6月 15, 2018
作者:
T
tensor-tang
提交者:
GitHub
6月 15, 2018
浏览文件
操作
浏览文件
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差异文件
Merge pull request #11258 from tensor-tang/refine
Refine test and scope lock
上级
566a9402
b8d315fb
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
62 addition
and
37 deletion
+62
-37
paddle/fluid/framework/scope.cc
paddle/fluid/framework/scope.cc
+48
-31
paddle/fluid/framework/scope.h
paddle/fluid/framework/scope.h
+10
-2
paddle/fluid/inference/tests/book/test_inference_nlp.cc
paddle/fluid/inference/tests/book/test_inference_nlp.cc
+4
-4
未找到文件。
paddle/fluid/framework/scope.cc
浏览文件 @
0ddc5d86
...
...
@@ -43,48 +43,29 @@ Scope& Scope::NewScope() const {
}
Variable
*
Scope
::
Var
(
const
std
::
string
&
name
)
{
// acquire the lock when new var under this scope
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
auto
*
v
=
FindVarLocally
(
name
);
if
(
v
!=
nullptr
)
return
v
;
v
=
new
Variable
();
vars_
[
name
].
reset
(
v
);
VLOG
(
3
)
<<
"Create variable "
<<
name
;
v
->
name_
=
&
(
vars_
.
find
(
name
)
->
first
);
return
v
;
return
VarInternal
(
name
);
}
Variable
*
Scope
::
Var
(
std
::
string
*
name
)
{
auto
var_name
=
string
::
Sprintf
(
"%p.%d"
,
this
,
vars_
.
size
());
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
auto
new_name
=
string
::
Sprintf
(
"%p.%d"
,
this
,
vars_
.
size
());
if
(
name
!=
nullptr
)
{
*
name
=
var
_name
;
*
name
=
new
_name
;
}
return
Var
(
var
_name
);
return
Var
Internal
(
new
_name
);
}
Variable
*
Scope
::
FindVar
(
const
std
::
string
&
name
)
const
{
// acquire the lock when find var
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
return
FindVarInternal
(
name
);
}
Variable
*
Scope
::
FindVarInternal
(
const
std
::
string
&
name
)
const
{
auto
var
=
FindVarLocally
(
name
);
if
(
var
!=
nullptr
)
{
return
var
;
}
return
(
parent_
==
nullptr
)
?
nullptr
:
parent_
->
FindVarInternal
(
name
);
}
const
Scope
*
Scope
::
FindScope
(
const
Variable
*
var
)
const
{
for
(
auto
&
kv
:
vars_
)
{
if
(
kv
.
second
.
get
()
==
var
)
{
return
this
;
}
}
return
(
parent_
==
nullptr
)
?
nullptr
:
parent_
->
FindScope
(
var
);
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
return
FindScopeInternal
(
var
);
}
void
Scope
::
DropKids
()
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
for
(
Scope
*
s
:
kids_
)
delete
s
;
...
...
@@ -92,6 +73,7 @@ void Scope::DropKids() {
}
std
::
vector
<
std
::
string
>
Scope
::
LocalVarNames
()
const
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
std
::
vector
<
std
::
string
>
known_vars
;
known_vars
.
reserve
(
this
->
vars_
.
size
());
for
(
auto
&
p
:
vars_
)
{
...
...
@@ -127,6 +109,39 @@ void Scope::EraseVars(const std::vector<std::string>& var_names) {
void
Scope
::
Rename
(
const
std
::
string
&
origin_name
,
const
std
::
string
&
new_name
)
const
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
RenameInternal
(
origin_name
,
new_name
);
}
std
::
string
Scope
::
Rename
(
const
std
::
string
&
origin_name
)
const
{
std
::
unique_lock
<
std
::
mutex
>
lock
(
mutex_
);
auto
new_name
=
string
::
Sprintf
(
"%p.%d"
,
this
,
vars_
.
size
());
RenameInternal
(
origin_name
,
new_name
);
return
new_name
;
}
Variable
*
Scope
::
VarInternal
(
const
std
::
string
&
name
)
{
auto
*
v
=
FindVarLocally
(
name
);
if
(
v
!=
nullptr
)
return
v
;
v
=
new
Variable
();
vars_
[
name
].
reset
(
v
);
VLOG
(
3
)
<<
"Create variable "
<<
name
;
v
->
name_
=
&
(
vars_
.
find
(
name
)
->
first
);
return
v
;
}
const
Scope
*
Scope
::
FindScopeInternal
(
const
Variable
*
var
)
const
{
for
(
auto
&
kv
:
vars_
)
{
if
(
kv
.
second
.
get
()
==
var
)
{
return
this
;
}
}
return
(
parent_
==
nullptr
)
?
nullptr
:
parent_
->
FindScope
(
var
);
}
void
Scope
::
RenameInternal
(
const
std
::
string
&
origin_name
,
const
std
::
string
&
new_name
)
const
{
auto
origin_it
=
vars_
.
find
(
origin_name
);
PADDLE_ENFORCE
(
origin_it
!=
vars_
.
end
(),
"Cannot find original variable with name %s"
,
origin_name
);
...
...
@@ -137,10 +152,12 @@ void Scope::Rename(const std::string& origin_name,
vars_
.
erase
(
origin_it
);
}
std
::
string
Scope
::
Rename
(
const
std
::
string
&
origin_name
)
const
{
auto
var_name
=
string
::
Sprintf
(
"%p.%d"
,
this
,
vars_
.
size
());
Rename
(
origin_name
,
var_name
);
return
var_name
;
Variable
*
Scope
::
FindVarInternal
(
const
std
::
string
&
name
)
const
{
auto
var
=
FindVarLocally
(
name
);
if
(
var
!=
nullptr
)
{
return
var
;
}
return
(
parent_
==
nullptr
)
?
nullptr
:
parent_
->
FindVar
(
name
);
}
Variable
*
Scope
::
FindVarLocally
(
const
std
::
string
&
name
)
const
{
...
...
paddle/fluid/framework/scope.h
浏览文件 @
0ddc5d86
...
...
@@ -88,12 +88,20 @@ class Scope {
// Call Scope::NewScope for a sub-scope.
explicit
Scope
(
Scope
const
*
parent
)
:
parent_
(
parent
)
{}
// Called by Var.
Variable
*
VarInternal
(
const
std
::
string
&
name
);
// Called by FindScope.
const
Scope
*
FindScopeInternal
(
const
Variable
*
var
)
const
;
// Called by Rename.
void
RenameInternal
(
const
std
::
string
&
origin_name
,
const
std
::
string
&
new_name
)
const
;
// Called by FindVar recursively.
// Caller doesn't own the returned Variable.
Variable
*
FindVarInternal
(
const
std
::
string
&
name
)
const
;
// Called by FindVarInternal and Var.
// Caller doesn't own the returned Variable.
Variable
*
FindVarLocally
(
const
std
::
string
&
name
)
const
;
// Scope in `kids_` are owned by this class.
...
...
paddle/fluid/inference/tests/book/test_inference_nlp.cc
浏览文件 @
0ddc5d86
...
...
@@ -103,9 +103,9 @@ void ThreadRunInfer(
const
int
tid
,
paddle
::
framework
::
Scope
*
scope
,
const
std
::
vector
<
std
::
vector
<
const
paddle
::
framework
::
LoDTensor
*>>&
jobs
)
{
// maybe framework:ProgramDesc is not thread-safe
paddle
::
platform
::
CPUPlace
place
;
paddle
::
framework
::
Executor
executor
(
place
);
auto
&
sub_scope
=
scope
->
NewScope
();
auto
place
=
paddle
::
platform
::
CPUPlace
();
auto
executor
=
paddle
::
framework
::
Executor
(
place
);
auto
inference_program
=
paddle
::
inference
::
Load
(
&
executor
,
scope
,
FLAGS_model_path
);
...
...
@@ -182,8 +182,8 @@ TEST(inference, nlp) {
stop_ms
=
GetCurrentMs
();
}
else
{
// 1. Define place, executor, scope
auto
place
=
paddle
::
platform
::
CPUPlace
()
;
auto
executor
=
paddle
::
framework
::
E
xecutor
(
place
);
paddle
::
platform
::
CPUPlace
place
;
paddle
::
framework
::
Executor
e
xecutor
(
place
);
// 2. Initialize the inference_program and load parameters
std
::
unique_ptr
<
paddle
::
framework
::
ProgramDesc
>
inference_program
;
...
...
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