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71a4a8e9
编写于
12月 27, 2018
作者:
X
Xin Pan
提交者:
GitHub
12月 27, 2018
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差异文件
Merge pull request #15071 from wopeizl/revert/15035
Revert "cherry-pick the #12759"
上级
988bc2b5
2388d0e7
变更
6
隐藏空白更改
内联
并排
Showing
6 changed file
with
18 addition
and
68 deletion
+18
-68
paddle/fluid/framework/op_proto_maker.cc
paddle/fluid/framework/op_proto_maker.cc
+0
-4
paddle/fluid/framework/op_proto_maker.h
paddle/fluid/framework/op_proto_maker.h
+0
-1
paddle/fluid/framework/operator.cc
paddle/fluid/framework/operator.cc
+17
-54
paddle/fluid/pybind/const_value.cc
paddle/fluid/pybind/const_value.cc
+0
-3
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+0
-5
python/paddle/fluid/tests/unittests/test_operator_desc.py
python/paddle/fluid/tests/unittests/test_operator_desc.py
+1
-1
未找到文件。
paddle/fluid/framework/op_proto_maker.cc
浏览文件 @
71a4a8e9
...
...
@@ -82,10 +82,6 @@ void OpProtoAndCheckerMaker::operator()(proto::OpProto* proto,
AddAttr
<
std
::
string
>
(
OpNamescopeAttrName
(),
"Operator name with namesope."
)
.
SetDefault
(
""
);
AddAttr
<
std
::
vector
<
std
::
string
>>
(
OpCreationCallstackAttrName
(),
"Callstack for Op Creatation."
)
.
SetDefault
({});
Validate
();
}
...
...
paddle/fluid/framework/op_proto_maker.h
浏览文件 @
71a4a8e9
...
...
@@ -47,7 +47,6 @@ class OpProtoAndCheckerMaker {
static
const
char
*
OpRoleAttrName
()
{
return
"op_role"
;
}
static
const
char
*
OpRoleVarAttrName
()
{
return
"op_role_var"
;
}
static
const
char
*
OpNamescopeAttrName
()
{
return
"op_namescope"
;
}
static
const
char
*
OpCreationCallstackAttrName
()
{
return
"op_callstack"
;
}
void
operator
()(
proto
::
OpProto
*
proto
,
OpAttrChecker
*
attr_checker
);
...
...
paddle/fluid/framework/operator.cc
浏览文件 @
71a4a8e9
...
...
@@ -16,15 +16,10 @@ limitations under the License. */
#include <glog/logging.h>
#include <algorithm>
#include <sstream>
#include <string>
#include <vector>
#include "gflags/gflags.h"
#include "glog/logging.h"
#include "paddle/fluid/framework/data_transform.h"
#include "paddle/fluid/framework/executor.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_proto_maker.h"
#include "paddle/fluid/framework/operator.h"
#include "paddle/fluid/framework/shape_inference.h"
#include "paddle/fluid/framework/transfer_scope_cache.h"
...
...
@@ -162,59 +157,27 @@ RuntimeContext::RuntimeContext(const VariableNameMap& innames,
}
void
OperatorBase
::
Run
(
const
Scope
&
scope
,
const
platform
::
Place
&
place
)
{
try
{
if
(
VLOG_IS_ON
(
4
))
{
VLOG
(
4
)
<<
place
<<
" "
<<
DebugStringEx
(
&
scope
);
}
if
(
platform
::
is_gpu_place
(
place
))
{
VLOG
(
4
)
<<
place
<<
" "
<<
DebugStringEx
(
&
scope
);
if
(
platform
::
is_gpu_place
(
place
))
{
#ifndef PADDLE_WITH_CUDA
PADDLE_THROW
(
"Cannot run operator on place %s"
,
place
);
PADDLE_THROW
(
"Cannot run operator on place %s"
,
place
);
#else
auto
dev_id
=
boost
::
get
<
platform
::
CUDAPlace
>
(
place
).
device
;
platform
::
SetDeviceId
(
dev_id
);
auto
dev_id
=
boost
::
get
<
platform
::
CUDAPlace
>
(
place
).
device
;
platform
::
SetDeviceId
(
dev_id
);
#endif
}
// The profile has a process-wide mutex, results in serious performance
// issue
// in concurrency scenerio. Here use an `if` to fix this issue.
// Please not remove the `if`, ask @Superjomn if there are any concern.
if
(
platform
::
IsProfileEnabled
())
{
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
platform
::
RecordEvent
record_event
(
Type
(),
pool
.
Get
(
place
));
RunImpl
(
scope
,
place
);
}
else
{
RunImpl
(
scope
,
place
);
}
if
(
VLOG_IS_ON
(
3
))
{
VLOG
(
3
)
<<
place
<<
" "
<<
DebugStringEx
(
&
scope
);
}
}
catch
(
platform
::
EnforceNotMet
exception
)
{
if
(
Attrs
().
count
(
"sub_block"
)
!=
0
)
{
throw
exception
;
}
auto
&
callstack
=
Attr
<
std
::
vector
<
std
::
string
>>
(
OpProtoAndCheckerMaker
::
OpCreationCallstackAttrName
());
}
if
(
callstack
.
empty
())
{
throw
exception
;
}
std
::
ostringstream
sout
;
sout
<<
"Invoke operator "
<<
Type
()
<<
" error.
\n
"
;
sout
<<
"Python Callstacks:
\n
"
;
for
(
auto
&
line
:
callstack
)
{
sout
<<
line
;
}
sout
<<
"C++ Callstacks:
\n
"
;
sout
<<
exception
.
err_str_
;
exception
.
err_str_
=
sout
.
str
();
throw
exception
;
}
catch
(...)
{
std
::
rethrow_exception
(
std
::
current_exception
());
// The profile has a process-wide mutex, results in serious performance issue
// in concurrency scenerio. Here use an `if` to fix this issue.
// Please not remove the `if`, ask @Superjomn if there are any concern.
if
(
platform
::
IsProfileEnabled
())
{
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
platform
::
RecordEvent
record_event
(
Type
(),
pool
.
Get
(
place
));
RunImpl
(
scope
,
place
);
}
else
{
RunImpl
(
scope
,
place
);
}
VLOG
(
3
)
<<
place
<<
" "
<<
DebugStringEx
(
&
scope
);
}
bool
OperatorBase
::
HasInputs
(
const
std
::
string
&
name
)
const
{
...
...
paddle/fluid/pybind/const_value.cc
浏览文件 @
71a4a8e9
...
...
@@ -49,9 +49,6 @@ void BindConstValue(pybind11::module* m) {
op_proto_and_checker_maker
.
def
(
"kOpNameScopeAttrName"
,
framework
::
OpProtoAndCheckerMaker
::
OpNamescopeAttrName
);
op_proto_and_checker_maker
.
def
(
"kOpCreationCallstackAttrName"
,
framework
::
OpProtoAndCheckerMaker
::
OpCreationCallstackAttrName
);
}
}
// namespace pybind
...
...
python/paddle/fluid/framework.py
浏览文件 @
71a4a8e9
...
...
@@ -20,7 +20,6 @@ import os
import
re
import
six
import
sys
import
traceback
import
numpy
as
np
...
...
@@ -605,10 +604,6 @@ class Operator(object):
if
role_var_name
in
op_attrs
and
len
(
op_attrs
[
role_var_name
])
==
0
:
del
op_attrs
[
role_var_name
]
callstack_var_name
=
op_maker
.
kOpCreationCallstackAttrName
()
op_attrs
[
callstack_var_name
]
=
list
(
reversed
(
traceback
.
format_stack
()))[
1
:]
if
len
(
self
.
desc
.
type
())
!=
0
:
return
if
type
is
None
:
...
...
python/paddle/fluid/tests/unittests/test_operator_desc.py
浏览文件 @
71a4a8e9
...
...
@@ -69,7 +69,7 @@ class TestOperator(unittest.TestCase):
set
(
mul_op
.
attr_names
),
set
([
"x_num_col_dims"
,
"y_num_col_dims"
,
"op_role"
,
"op_role_var"
,
"op_namescope"
,
"op_callstack"
"op_namescope"
]))
self
.
assertEqual
(
mul_op
.
has_attr
(
"x_num_col_dims"
),
True
)
self
.
assertEqual
(
mul_op
.
attr_type
(
"x_num_col_dims"
),
core
.
AttrType
.
INT
)
...
...
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