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f52d78d1
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f52d78d1
编写于
6月 12, 2018
作者:
Y
Yancey1989
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
update by comment
上级
6d752baf
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
93 addition
and
83 deletion
+93
-83
paddle/fluid/framework/details/multi_devices_graph_builder.cc
...le/fluid/framework/details/multi_devices_graph_builder.cc
+85
-77
paddle/fluid/framework/details/multi_devices_graph_builder.h
paddle/fluid/framework/details/multi_devices_graph_builder.h
+8
-6
未找到文件。
paddle/fluid/framework/details/multi_devices_graph_builder.cc
浏览文件 @
f52d78d1
...
...
@@ -57,6 +57,7 @@ MultiDevSSAGraphBuilder::MultiDevSSAGraphBuilder(
for
(
auto
&
p
:
params
)
{
grad_names_
.
insert
(
GradVarName
(
p
));
}
balance_vars_
.
resize
(
places_
.
size
(),
0
);
}
void
MultiDevSSAGraphBuilder
::
CreateOpHandleIOs
(
SSAGraph
*
result
,
...
...
@@ -140,11 +141,30 @@ bool MultiDevSSAGraphBuilder::IsDistTrainOp(
checker
(
op
.
InputArgumentNames
(),
recv_vars
);
}
size_t
MultiDevSSAGraphBuilder
::
GetAppropriateDeviceID
(
const
std
::
vector
<
std
::
string
>
&
var_names
)
const
{
int64_t
numel_sum
=
0
;
for
(
auto
var_name
:
var_names
)
{
auto
var_desc
=
all_vars_
.
at
(
var_name
);
PADDLE_ENFORCE_NOT_NULL
(
var_desc
);
auto
dim
=
framework
::
make_ddim
(
var_desc
->
GetShape
());
int64_t
numel
=
framework
::
product
(
dim
);
PADDLE_ENFORCE_GT
(
numel
,
0
);
numel_sum
+=
numel
;
}
auto
smallest
=
std
::
min_element
(
std
::
begin
(
balance_vars_
),
std
::
end
(
balance_vars_
));
size_t
dev_id
=
static_cast
<
size_t
>
(
std
::
distance
(
std
::
begin
(
balance_vars_
),
smallest
));
balance_vars_
[
dev_id
]
+=
numel_sum
;
return
dev_id
;
}
std
::
unique_ptr
<
SSAGraph
>
MultiDevSSAGraphBuilder
::
Build
(
const
ProgramDesc
&
program
)
const
{
std
::
unordered_map
<
std
::
string
,
VarDesc
*>
all_vars
;
for
(
auto
*
var
:
program
.
Block
(
0
).
AllVars
())
{
all_vars
[
var
->
Name
()]
=
var
;
all_vars
_
.
emplace
(
var
->
Name
(),
var
)
;
}
auto
graph
=
new
SSAGraph
();
...
...
@@ -165,71 +185,15 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
bcast_var_name_set
.
resize
(
places_
.
size
());
size_t
cur_device_id
=
0
;
std
::
vector
<
int64_t
>
balance_grads
(
places_
.
size
(),
0
);
auto
get_appropriate_dev
=
[
&
](
std
::
vector
<
std
::
string
>
var_names
)
->
size_t
{
int64_t
numel_all
=
0
;
for
(
auto
var_name
:
var_names
)
{
auto
var_desc
=
all_vars
.
at
(
var_name
);
PADDLE_ENFORCE_NOT_NULL
(
var_desc
);
auto
dim
=
framework
::
make_ddim
(
var_desc
->
GetShape
());
int64_t
numel
=
framework
::
product
(
dim
);
PADDLE_ENFORCE_GT
(
numel
,
0
);
numel_all
+=
numel
;
}
auto
smallest
=
std
::
min_element
(
std
::
begin
(
balance_grads
),
std
::
end
(
balance_grads
));
size_t
dev_id
=
static_cast
<
size_t
>
(
std
::
distance
(
std
::
begin
(
balance_grads
),
smallest
));
balance_grads
[
dev_id
]
+=
numel_all
;
return
dev_id
;
};
bool
is_forwarding
=
true
;
for
(
auto
*
op
:
program
.
Block
(
0
).
AllOps
())
{
if
(
boost
::
get
<
int
>
(
op
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kRPC
))
{
// append rpc op if program is distributed trainer main program.
// always use the first device
if
(
op
->
Type
()
==
"send_vars"
)
{
int
op_dev_id
=
GetVarDeviceID
(
op
->
InputArgumentNames
()[
0
]);
if
(
op_dev_id
==
-
1
)
{
op_dev_id
=
get_appropriate_dev
(
op
->
InputArgumentNames
());
for
(
auto
&
varname
:
op
->
InputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
}
CreateRPCOp
(
&
result
,
*
op
,
op_dev_id
);
}
else
if
(
op
->
Type
()
==
"recv"
)
{
int
op_dev_id
=
get_appropriate_dev
(
op
->
OutputArgumentNames
());
for
(
auto
&
varname
:
op
->
OutputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
CreateRPCOp
(
&
result
,
*
op
,
op_dev_id
);
}
else
{
// send_barrier and fetch_barrier op would run on device 0
CreateRPCOp
(
&
result
,
*
op
,
0
);
}
CreateRPCOp
(
&
result
,
*
op
);
}
else
if
(
IsDistTrainOp
(
*
op
,
send_vars
,
recv_vars
))
{
if
(
op
->
Type
()
==
"split_byref"
)
{
int
op_dev_id
=
get_appropriate_dev
(
op
->
OutputArgumentNames
());
for
(
auto
&
varname
:
op
->
OutputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
CreateDistTrainOp
(
&
result
,
*
op
,
op_dev_id
);
}
else
if
(
op
->
Type
()
==
"concat"
)
{
int
op_dev_id
=
GetVarDeviceID
(
op
->
InputArgumentNames
()[
0
]);
PADDLE_ENFORCE
(
op_dev_id
!=
-
1
,
"can not find right place to concatenate received var."
);
CreateDistTrainOp
(
&
result
,
*
op
,
op_dev_id
);
}
else
{
PADDLE_ENFORCE
(
"the distribute training related op should be in [split_byref, "
"concat]."
);
}
CreateDistTrainOp
(
&
result
,
*
op
);
}
else
if
(
IsScaleLossOp
(
*
op
))
{
// user can customize loss@grad if not use_default_grad_scale_
if
(
strategy_
.
gradient_scale_
!=
...
...
@@ -267,13 +231,13 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
switch
(
strategy_
.
reduce_
)
{
case
BuildStrategy
::
ReduceStrategy
::
kReduce
:
cur_device_id
=
get_appropriate_dev
({
g_name
});
cur_device_id
=
GetAppropriateDeviceID
({
g_name
});
CreateReduceOp
(
&
result
,
g_name
,
cur_device_id
);
var_name_on_devices_
.
emplace
(
g_name
,
cur_device_id
);
bcast_var_name_set
[
cur_device_id
].
emplace
(
p_name
);
break
;
case
BuildStrategy
::
ReduceStrategy
::
kAllReduce
:
if
(
IsSparseGradient
(
all_vars
,
g_name
))
{
if
(
IsSparseGradient
(
g_name
))
{
CreateReduceOp
(
&
result
,
g_name
,
0
);
CreateBroadcastOp
(
&
result
,
g_name
,
0
);
}
else
{
...
...
@@ -310,11 +274,9 @@ std::unique_ptr<SSAGraph> MultiDevSSAGraphBuilder::Build(
return
std
::
unique_ptr
<
SSAGraph
>
(
graph
);
}
bool
MultiDevSSAGraphBuilder
::
IsSparseGradient
(
const
std
::
unordered_map
<
std
::
string
,
VarDesc
*>
&
all_vars
,
const
std
::
string
&
og
)
const
{
PADDLE_ENFORCE
(
all_vars
.
count
(
og
)
!=
0
);
if
(
all_vars
.
at
(
og
)
->
GetType
()
==
proto
::
VarType
::
SELECTED_ROWS
)
{
bool
MultiDevSSAGraphBuilder
::
IsSparseGradient
(
const
std
::
string
&
og
)
const
{
PADDLE_ENFORCE
(
all_vars_
.
count
(
og
)
!=
0
);
if
(
all_vars_
.
at
(
og
)
->
GetType
()
==
proto
::
VarType
::
SELECTED_ROWS
)
{
return
true
;
}
return
false
;
...
...
@@ -498,18 +460,66 @@ void MultiDevSSAGraphBuilder::ConnectOp(SSAGraph *result, OpHandleBase *op,
}
void
MultiDevSSAGraphBuilder
::
CreateDistTrainOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
,
int
place_id
)
const
{
CreateComputationalOp
(
result
,
op
,
place_id
);
const
OpDesc
&
op
)
const
{
int
op_dev_id
=
-
1
;
if
(
op
.
Type
()
==
"split_byref"
)
{
op_dev_id
=
GetVarDeviceID
(
op
.
InputArgumentNames
()[
0
]);
if
(
strategy_
.
reduce_
==
BuildStrategy
::
ReduceStrategy
::
kAllReduce
)
{
op_dev_id
=
GetAppropriateDeviceID
(
op
.
InputArgumentNames
());
for
(
auto
&
varname
:
op
.
InputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
}
for
(
auto
&
varname
:
op
.
OutputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
}
else
if
(
op
.
Type
()
==
"concat"
)
{
op_dev_id
=
GetVarDeviceID
(
op
.
InputArgumentNames
()[
0
]);
}
else
{
PADDLE_ENFORCE
(
"the distribute training related op should be in [split_byref, "
"concat]."
);
}
PADDLE_ENFORCE
(
op_dev_id
!=
-
1
,
"can not find right place for distributed op: %s"
,
op
.
Type
());
CreateComputationalOp
(
result
,
op
,
op_dev_id
);
if
(
op
.
Type
()
==
"concat"
)
{
ConnectOp
(
result
,
result
->
ops_
.
back
().
get
(),
"fetch_barrier"
);
}
}
void
MultiDevSSAGraphBuilder
::
CreateRPCOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
,
int
device_id
)
const
{
result
->
ops_
.
emplace_back
(
new
RPCOpHandle
(
op
,
local_scopes_
[
device_id
],
op
.
Type
(),
places_
[
device_id
]));
void
MultiDevSSAGraphBuilder
::
CreateRPCOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
)
const
{
int
op_dev_id
=
-
1
;
if
(
op
.
Type
()
==
"send"
)
{
op_dev_id
=
GetVarDeviceID
(
op
.
InputArgumentNames
()[
0
]);
// the variable name which contains .block means it was splited by
// split_byref op
// so that we can balance the variable blocks to all the pserver instances.
if
(
strategy_
.
reduce_
==
BuildStrategy
::
ReduceStrategy
::
kAllReduce
&&
op
.
InputArgumentNames
()[
0
].
find
(
".block"
)
==
std
::
string
::
npos
)
{
op_dev_id
=
GetAppropriateDeviceID
(
op
.
InputArgumentNames
());
for
(
auto
&
varname
:
op
.
InputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
}
}
else
if
(
op
.
Type
()
==
"recv"
)
{
op_dev_id
=
GetAppropriateDeviceID
(
op
.
OutputArgumentNames
());
for
(
auto
&
varname
:
op
.
OutputArgumentNames
())
{
var_name_on_devices_
.
emplace
(
varname
,
op_dev_id
);
}
}
else
{
// send_barrier and fetch_barrier op can be scheduled on device 0
op_dev_id
=
0
;
}
PADDLE_ENFORCE
(
op_dev_id
!=
-
1
,
"can not find the right place for rpc op: %s"
,
op
.
Type
());
result
->
ops_
.
emplace_back
(
new
RPCOpHandle
(
op
,
local_scopes_
[
op_dev_id
],
op
.
Type
(),
places_
[
op_dev_id
]));
if
(
op
.
Type
()
==
"send_barrier"
)
{
ConnectOp
(
result
,
result
->
ops_
.
back
().
get
(),
"send"
);
...
...
@@ -525,9 +535,7 @@ void MultiDevSSAGraphBuilder::CreateRPCOp(SSAGraph *result, const OpDesc &op,
"send, send_barrier. recv, fetch_barrier]"
);
}
// TODO(Yancey1989): schedule rpc op on different place may
// increate throughput
CreateOpHandleIOs
(
result
,
op
,
device_id
);
CreateOpHandleIOs
(
result
,
op
,
op_dev_id
);
}
bool
MultiDevSSAGraphBuilder
::
IsScaleLossOp
(
const
OpDesc
&
op
)
const
{
...
...
paddle/fluid/framework/details/multi_devices_graph_builder.h
浏览文件 @
f52d78d1
...
...
@@ -65,9 +65,8 @@ class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
bool
IsScaleLossOp
(
const
OpDesc
&
op
)
const
;
void
CreateRPCOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
,
int
place_id
)
const
;
void
CreateDistTrainOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
,
int
place_id
)
const
;
void
CreateRPCOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
)
const
;
void
CreateDistTrainOp
(
SSAGraph
*
result
,
const
OpDesc
&
op
)
const
;
/**
* Is this operator as the end-point operator before/after send operator.
...
...
@@ -105,13 +104,16 @@ class MultiDevSSAGraphBuilder : public SSAGraphBuilder {
void
CreateBroadcastOp
(
SSAGraph
*
result
,
const
std
::
string
&
p_name
,
size_t
src_dev_id
)
const
;
bool
IsSparseGradient
(
const
std
::
unordered_map
<
std
::
string
,
VarDesc
*>
&
all_vars
,
const
std
::
string
&
og
)
const
;
bool
IsSparseGradient
(
const
std
::
string
&
og
)
const
;
size_t
GetAppropriateDeviceID
(
const
std
::
vector
<
std
::
string
>
&
var_names
)
const
;
private:
BuildStrategy
strategy_
;
mutable
std
::
unordered_map
<
std
::
string
,
VarDesc
*>
all_vars_
;
mutable
std
::
unordered_map
<
std
::
string
,
int
>
var_name_on_devices_
;
mutable
std
::
vector
<
int64_t
>
balance_vars_
;
void
SetCommunicationContext
(
OpHandleBase
*
op_handle
,
const
platform
::
Place
&
p
)
const
;
...
...
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