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3abb2aa0
编写于
1月 09, 2019
作者:
M
minqiyang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Refine MultiDevSSAGraph
test=release/1.2
上级
553df9d3
变更
4
展开全部
隐藏空白更改
内联
并排
Showing
4 changed file
with
211 addition
and
277 deletion
+211
-277
paddle/fluid/framework/details/multi_devices_graph_pass.cc
paddle/fluid/framework/details/multi_devices_graph_pass.cc
+198
-207
paddle/fluid/framework/details/multi_devices_graph_pass.h
paddle/fluid/framework/details/multi_devices_graph_pass.h
+11
-8
paddle/fluid/framework/ir/graph.cc
paddle/fluid/framework/ir/graph.cc
+0
-59
paddle/fluid/framework/parallel_executor.cc
paddle/fluid/framework/parallel_executor.cc
+2
-3
未找到文件。
paddle/fluid/framework/details/multi_devices_graph_pass.cc
浏览文件 @
3abb2aa0
此差异已折叠。
点击以展开。
paddle/fluid/framework/details/multi_devices_graph_pass.h
浏览文件 @
3abb2aa0
...
...
@@ -45,7 +45,7 @@ class MultiDevSSAGraphBuilder : public ir::Pass {
#endif
int
GetVarDeviceID
(
const
ir
::
Graph
&
graph
,
const
std
::
string
&
varname
,
const
std
::
string
&
varname
,
const
std
::
unordered_map
<
std
::
string
,
int
>
&
sharded_var_device
)
const
;
bool
IsScaleLossOp
(
ir
::
Node
*
node
)
const
;
...
...
@@ -57,12 +57,6 @@ class MultiDevSSAGraphBuilder : public ir::Pass {
ir
::
Graph
*
result
,
ir
::
Node
*
node
,
std
::
unordered_map
<
std
::
string
,
int
>
*
sharded_var_device
)
const
;
std
::
vector
<
std
::
string
>
FindDistTrainSendVars
(
const
std
::
vector
<
ir
::
Node
*>
&
nodes
)
const
;
std
::
vector
<
std
::
string
>
FindDistTrainRecvVars
(
const
std
::
vector
<
ir
::
Node
*>
&
nodes
)
const
;
void
CreateComputationalOps
(
ir
::
Graph
*
result
,
ir
::
Node
*
node
,
size_t
num_places
)
const
;
...
...
@@ -76,7 +70,7 @@ class MultiDevSSAGraphBuilder : public ir::Pass {
int
dev_id
)
const
;
int
GetOpDeviceID
(
const
ir
::
Graph
&
graph
,
ir
::
Node
*
node
,
ir
::
Node
*
node
,
const
std
::
unordered_map
<
std
::
string
,
int
>
&
sharded_var_device
)
const
;
void
InsertAllReduceOp
(
ir
::
Graph
*
result
,
const
std
::
string
&
og
)
const
;
...
...
@@ -99,6 +93,15 @@ class MultiDevSSAGraphBuilder : public ir::Pass {
void
SetCommunicationContext
(
OpHandleBase
*
op_handle
,
const
platform
::
Place
&
p
)
const
;
std
::
vector
<
ir
::
Node
*>
SortForReduceMode
(
const
std
::
vector
<
ir
::
Node
*>
&
)
const
;
int
GetOpDeviceID
(
ir
::
Node
*
node
,
const
std
::
unordered_map
<
std
::
string
,
int
>
&
shared_var_device
,
std
::
unordered_map
<
std
::
string
,
std
::
vector
<
ir
::
Node
*>>
*
delay_ops
)
const
;
mutable
std
::
string
loss_var_name_
;
mutable
std
::
vector
<
platform
::
Place
>
places_
;
mutable
std
::
vector
<
Scope
*>
local_scopes_
;
...
...
paddle/fluid/framework/ir/graph.cc
浏览文件 @
3abb2aa0
...
...
@@ -23,67 +23,8 @@ limitations under the License. */
namespace
paddle
{
namespace
framework
{
namespace
ir
{
namespace
{
void
CheckProgram
(
const
ProgramDesc
&
program
)
{
#define _INT(role) static_cast<int>(role)
std
::
map
<
int
,
bool
>
visit
;
for
(
OpDesc
*
op
:
program
.
Block
(
0
).
AllOps
())
{
// For backward compatibility, some program doesn't have role added.
if
(
!
op
->
HasAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
continue
;
int
role_id
=
boost
::
get
<
int
>
(
op
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()));
visit
[
role_id
]
=
true
;
switch
(
role_id
)
{
case
_INT
(
OpRole
::
kForward
):
if
(
visit
.
find
(
_INT
(
OpRole
::
kBackward
))
!=
visit
.
end
())
{
LOG
(
ERROR
)
<<
"Cannot add backward operator before forward operator %s."
<<
op
->
Type
();
}
break
;
case
_INT
(
OpRole
::
kBackward
):
case
_INT
(
OpRole
::
kBackward
)
|
_INT
(
OpRole
::
kLoss
):
PADDLE_ENFORCE
(
visit
.
find
(
_INT
(
OpRole
::
kOptimize
))
==
visit
.
end
(),
"Cannot add backward operator %s after optimize operator."
,
op
->
Type
());
break
;
case
_INT
(
OpRole
::
kForward
)
|
_INT
(
OpRole
::
kLoss
):
PADDLE_ENFORCE
(
visit
.
find
(
_INT
(
OpRole
::
kBackward
)
|
_INT
(
OpRole
::
kLoss
))
==
visit
.
end
(),
"Cannot add backward|loss operator before "
"forward|loss operator %s."
,
op
->
Type
());
PADDLE_ENFORCE
(
visit
.
find
(
_INT
(
OpRole
::
kOptimize
))
==
visit
.
end
(),
"Cannot add forward|loss operator %s after optimize operator."
,
op
->
Type
());
break
;
case
_INT
(
OpRole
::
kOptimize
):
case
_INT
(
OpRole
::
kOptimize
)
|
_INT
(
OpRole
::
kLRSched
):
PADDLE_ENFORCE
(
visit
.
find
(
_INT
(
OpRole
::
kBackward
))
!=
visit
.
end
(),
"Optimize operators %s must follow backward operator."
,
op
->
Type
());
break
;
case
_INT
(
OpRole
::
kLRSched
):
case
_INT
(
OpRole
::
kDist
):
case
_INT
(
OpRole
::
kRPC
):
case
_INT
(
OpRole
::
kNotSpecified
):
break
;
default:
LOG
(
FATAL
)
<<
"Unknown operator role. Don't add new role because "
"you don't know what you are doing."
;
}
}
#undef _INT
}
}
// namespace
Graph
::
Graph
(
const
ProgramDesc
&
program
)
:
program_
(
program
)
{
CheckProgram
(
program_
);
auto
var_nodes
=
InitFromProgram
(
program_
);
ResolveHazard
(
var_nodes
);
}
...
...
paddle/fluid/framework/parallel_executor.cc
浏览文件 @
3abb2aa0
...
...
@@ -215,6 +215,7 @@ void ParallelExecutor::BCastParamsToDevices(
if
(
paddle
::
platform
::
is_gpu_place
(
main_tensor
.
place
()))
{
#if defined(PADDLE_WITH_CUDA) && !defined(_WIN32)
std
::
vector
<
void
*>
buffers
;
buffers
.
reserve
(
member_
->
places_
.
size
());
size_t
numel
=
main_tensor
.
numel
();
ncclDataType_t
data_type
=
platform
::
ToNCCLDataType
(
main_tensor
.
type
());
for
(
size_t
i
=
0
;
i
<
member_
->
places_
.
size
();
++
i
)
{
...
...
@@ -248,9 +249,7 @@ void ParallelExecutor::BCastParamsToDevices(
#endif
}
else
{
platform
::
CPUPlace
cpu
;
for
(
size_t
i
=
0
;
i
<
member_
->
places_
.
size
();
++
i
)
{
if
(
i
==
0
)
continue
;
for
(
size_t
i
=
1
;
i
<
member_
->
places_
.
size
();
++
i
)
{
auto
local_scope
=
member_
->
local_scopes_
[
i
];
auto
*
t
=
local_scope
->
Var
(
var
)
->
GetMutable
<
LoDTensor
>
();
...
...
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