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37e51443
编写于
7月 12, 2018
作者:
X
Xin Pan
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
op compose node and update nodes.
上级
9605fcd1
变更
29
隐藏空白更改
内联
并排
Showing
29 changed file
with
262 addition
and
153 deletion
+262
-153
paddle/fluid/framework/details/all_reduce_op_handle.cc
paddle/fluid/framework/details/all_reduce_op_handle.cc
+9
-4
paddle/fluid/framework/details/all_reduce_op_handle.h
paddle/fluid/framework/details/all_reduce_op_handle.h
+2
-2
paddle/fluid/framework/details/broadcast_op_handle.h
paddle/fluid/framework/details/broadcast_op_handle.h
+7
-4
paddle/fluid/framework/details/broadcast_op_handle_test.cc
paddle/fluid/framework/details/broadcast_op_handle_test.cc
+20
-12
paddle/fluid/framework/details/computation_op_handle.cc
paddle/fluid/framework/details/computation_op_handle.cc
+6
-5
paddle/fluid/framework/details/computation_op_handle.h
paddle/fluid/framework/details/computation_op_handle.h
+1
-1
paddle/fluid/framework/details/data_balance_op_handle.cc
paddle/fluid/framework/details/data_balance_op_handle.cc
+4
-4
paddle/fluid/framework/details/data_balance_op_handle.h
paddle/fluid/framework/details/data_balance_op_handle.h
+2
-2
paddle/fluid/framework/details/fetch_op_handle.cc
paddle/fluid/framework/details/fetch_op_handle.cc
+8
-5
paddle/fluid/framework/details/fetch_op_handle.h
paddle/fluid/framework/details/fetch_op_handle.h
+1
-1
paddle/fluid/framework/details/fuse_vars_op_handle.h
paddle/fluid/framework/details/fuse_vars_op_handle.h
+4
-2
paddle/fluid/framework/details/gather_op_handle.cc
paddle/fluid/framework/details/gather_op_handle.cc
+3
-2
paddle/fluid/framework/details/gather_op_handle.h
paddle/fluid/framework/details/gather_op_handle.h
+1
-1
paddle/fluid/framework/details/gather_op_handle_test.cc
paddle/fluid/framework/details/gather_op_handle_test.cc
+15
-7
paddle/fluid/framework/details/multi_devices_graph_builder.cc
...le/fluid/framework/details/multi_devices_graph_builder.cc
+46
-27
paddle/fluid/framework/details/op_handle_base.cc
paddle/fluid/framework/details/op_handle_base.cc
+7
-5
paddle/fluid/framework/details/op_handle_base.h
paddle/fluid/framework/details/op_handle_base.h
+5
-1
paddle/fluid/framework/details/reduce_op_handle.h
paddle/fluid/framework/details/reduce_op_handle.h
+7
-4
paddle/fluid/framework/details/reduce_op_handle_test.cc
paddle/fluid/framework/details/reduce_op_handle_test.cc
+16
-10
paddle/fluid/framework/details/rpc_op_handle.cc
paddle/fluid/framework/details/rpc_op_handle.cc
+5
-4
paddle/fluid/framework/details/rpc_op_handle.h
paddle/fluid/framework/details/rpc_op_handle.h
+3
-2
paddle/fluid/framework/details/scale_loss_grad_op_handle.cc
paddle/fluid/framework/details/scale_loss_grad_op_handle.cc
+6
-2
paddle/fluid/framework/details/scale_loss_grad_op_handle.h
paddle/fluid/framework/details/scale_loss_grad_op_handle.h
+2
-1
paddle/fluid/framework/details/ssa_graph_builder.cc
paddle/fluid/framework/details/ssa_graph_builder.cc
+12
-6
paddle/fluid/framework/details/ssa_graph_checker.cc
paddle/fluid/framework/details/ssa_graph_checker.cc
+2
-2
paddle/fluid/framework/details/threaded_ssa_graph_executor.cc
...le/fluid/framework/details/threaded_ssa_graph_executor.cc
+13
-6
paddle/fluid/framework/details/threaded_ssa_graph_executor.h
paddle/fluid/framework/details/threaded_ssa_graph_executor.h
+1
-0
paddle/fluid/framework/details/var_handle.h
paddle/fluid/framework/details/var_handle.h
+46
-3
paddle/fluid/framework/ir/node.h
paddle/fluid/framework/ir/node.h
+8
-28
未找到文件。
paddle/fluid/framework/details/all_reduce_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -23,10 +23,14 @@ namespace framework {
namespace
details
{
#ifdef PADDLE_WITH_CUDA
AllReduceOpHandle
::
AllReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
AllReduceOpHandle
::
AllReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
ctxs
)
:
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
ctxs
)
{
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
ctxs
)
{
if
(
nccl_ctxs_
)
{
for
(
auto
&
p
:
places_
)
{
this
->
dev_ctxes_
[
p
]
=
nccl_ctxs_
->
DevCtx
(
p
);
...
...
@@ -34,9 +38,10 @@ AllReduceOpHandle::AllReduceOpHandle(const std::vector<Scope *> &local_scopes,
}
}
#else
AllReduceOpHandle
::
AllReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
AllReduceOpHandle
::
AllReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
#endif
void
AllReduceOpHandle
::
RunImpl
()
{
...
...
paddle/fluid/framework/details/all_reduce_op_handle.h
浏览文件 @
37e51443
...
...
@@ -30,11 +30,11 @@ namespace details {
struct
AllReduceOpHandle
:
public
OpHandleBase
{
#ifdef PADDLE_WITH_CUDA
AllReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
AllReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
ctxs
);
#else
AllReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
AllReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
);
#endif
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/broadcast_op_handle.h
浏览文件 @
37e51443
...
...
@@ -35,10 +35,13 @@ namespace details {
struct
BroadcastOpHandle
:
public
OpHandleBase
{
public:
#ifdef PADDLE_WITH_CUDA
BroadcastOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
BroadcastOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
nccl_ctxs
)
:
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
nccl_ctxs
)
{
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
nccl_ctxs
)
{
if
(
nccl_ctxs_
)
{
for
(
auto
&
p_ctx
:
nccl_ctxs_
->
contexts_
)
{
dev_ctxes_
[
platform
::
CUDAPlace
(
p_ctx
.
first
)]
=
p_ctx
.
second
.
ctx_
.
get
();
...
...
@@ -46,9 +49,9 @@ struct BroadcastOpHandle : public OpHandleBase {
}
}
#else
BroadcastOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
BroadcastOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
#endif
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/broadcast_op_handle_test.cc
浏览文件 @
37e51443
...
...
@@ -96,48 +96,56 @@ struct TestBroadcastOpHandle {
}
param_scopes_
[
input_scope_idx
]
->
Var
(
"input"
);
std
::
unique_ptr
<
ir
::
Node
>
n
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
if
(
use_gpu_
)
{
#ifdef PADDLE_WITH_CUDA
op_handle_
.
reset
(
new
BroadcastOpHandle
(
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
op_handle_
.
reset
(
new
BroadcastOpHandle
(
n
.
get
(),
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
#else
PADDLE_THROW
(
"CUDA is not support."
);
#endif
}
else
{
#ifdef PADDLE_WITH_CUDA
op_handle_
.
reset
(
new
BroadcastOpHandle
(
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
op_handle_
.
reset
(
new
BroadcastOpHandle
(
n
.
get
(),
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
#else
op_handle_
.
reset
(
new
BroadcastOpHandle
(
local_scopes_
,
gpu_list_
));
op_handle_
.
reset
(
new
BroadcastOpHandle
(
n
.
get
(),
local_scopes_
,
gpu_list_
));
#endif
}
auto
*
in_var_handle
=
new
VarHandle
(
1
,
input_scope_idx
,
"input"
,
gpu_list_
[
input_scope_idx
]);
std
::
unique_ptr
<
ir
::
Node
>
v
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
in_var_handle
=
new
VarHandle
(
v
.
get
(),
1
,
input_scope_idx
,
"input"
,
gpu_list_
[
input_scope_idx
]);
vars_
.
emplace_back
(
in_var_handle
);
op_handle_
->
AddInput
(
in_var_handle
);
// add dummy var
vars_
.
emplace_back
(
new
DummyVarHandle
());
std
::
unique_ptr
<
ir
::
Node
>
v2
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
vars_
.
emplace_back
(
new
DummyVarHandle
(
v2
.
get
()));
DummyVarHandle
*
dummy_var_handle
=
static_cast
<
DummyVarHandle
*>
(
vars_
.
back
().
get
());
dummy_var_handle
->
generated_op_
=
nullptr
;
dummy_var_handle
->
ClearGeneratedOp
()
;
op_handle_
->
AddInput
(
dummy_var_handle
);
for
(
size_t
j
=
0
;
j
<
gpu_list_
.
size
();
++
j
)
{
if
(
!
use_gpu_
)
{
op_handle_
->
SetDeviceContext
(
gpu_list_
[
j
],
ctxs_
[
j
].
get
());
}
VarHandle
*
out_var_handle
=
new
VarHandle
(
2
,
j
,
"out"
,
gpu_list_
[
j
]);
std
::
unique_ptr
<
ir
::
Node
>
v3
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
VarHandle
*
out_var_handle
=
new
VarHandle
(
v3
.
get
(),
2
,
j
,
"out"
,
gpu_list_
[
j
]);
vars_
.
emplace_back
(
out_var_handle
);
op_handle_
->
AddOutput
(
out_var_handle
);
}
// add dummy var
vars_
.
emplace_back
(
new
DummyVarHandle
());
std
::
unique_ptr
<
ir
::
Node
>
v4
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
vars_
.
emplace_back
(
new
DummyVarHandle
(
v4
.
get
()));
DummyVarHandle
*
out_dummy_var_handle
=
static_cast
<
DummyVarHandle
*>
(
vars_
.
back
().
get
());
out_dummy_var_handle
->
generated_op_
=
nullptr
;
out_dummy_var_handle
->
ClearGeneratedOp
()
;
op_handle_
->
AddOutput
(
out_dummy_var_handle
);
}
...
...
paddle/fluid/framework/details/computation_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -19,9 +19,10 @@
namespace
paddle
{
namespace
framework
{
namespace
details
{
ComputationOpHandle
::
ComputationOpHandle
(
const
OpDesc
&
op_desc
,
Scope
*
scope
,
platform
::
Place
place
)
:
op_
(
framework
::
OpRegistry
::
CreateOp
(
op_desc
)),
ComputationOpHandle
::
ComputationOpHandle
(
ir
::
Node
*
node
,
const
OpDesc
&
op_desc
,
Scope
*
scope
,
platform
::
Place
place
)
:
OpHandleBase
(
node
),
op_
(
framework
::
OpRegistry
::
CreateOp
(
op_desc
)),
scope_
(
scope
),
place_
(
place
)
{}
...
...
@@ -35,8 +36,8 @@ void ComputationOpHandle::RunImpl() {
bool
ComputationOpHandle
::
NeedWait
(
VarHandleBase
*
in_var
)
{
bool
need_wait
=
in_var
&&
in_var
->
generated_op_
&&
in_var
->
generated_op_
->
DeviceContext
(
place_
)
!=
dev_ctxes_
[
place_
];
in_var
&&
in_var
->
GeneratedOp
()
&&
in_var
->
GeneratedOp
()
->
DeviceContext
(
place_
)
!=
dev_ctxes_
[
place_
];
return
need_wait
;
}
...
...
paddle/fluid/framework/details/computation_op_handle.h
浏览文件 @
37e51443
...
...
@@ -28,7 +28,7 @@ namespace framework {
namespace
details
{
struct
ComputationOpHandle
:
public
OpHandleBase
{
public:
ComputationOpHandle
(
const
OpDesc
&
op_desc
,
Scope
*
scope
,
ComputationOpHandle
(
ir
::
Node
*
node
,
const
OpDesc
&
op_desc
,
Scope
*
scope
,
platform
::
Place
place
);
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/data_balance_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -22,10 +22,10 @@ namespace details {
#ifdef PADDLE_WITH_CUDA
DataBalanceOpHandle
::
DataBalanceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
ctxs
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{
if
(
ctxs
)
{
for
(
auto
&
p
:
places_
)
{
this
->
dev_ctxes_
[
p
]
=
ctxs
->
DevCtx
(
p
);
...
...
@@ -34,9 +34,9 @@ DataBalanceOpHandle::DataBalanceOpHandle(
}
#else
DataBalanceOpHandle
::
DataBalanceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
#endif
std
::
string
DataBalanceOpHandle
::
Name
()
const
{
return
"data balance"
;
}
...
...
paddle/fluid/framework/details/data_balance_op_handle.h
浏览文件 @
37e51443
...
...
@@ -30,11 +30,11 @@ namespace details {
struct
DataBalanceOpHandle
:
public
OpHandleBase
{
public:
#ifdef PADDLE_WITH_CUDA
DataBalanceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
DataBalanceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
ctxs
);
#else
DataBalanceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
DataBalanceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
);
#endif
...
...
paddle/fluid/framework/details/fetch_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -21,13 +21,16 @@ namespace paddle {
namespace
framework
{
namespace
details
{
FetchOpHandle
::
FetchOpHandle
(
FeedFetchList
*
data
,
size_t
offset
,
FetchOpHandle
::
FetchOpHandle
(
ir
::
Node
*
node
,
FeedFetchList
*
data
,
size_t
offset
,
std
::
vector
<
Scope
*>
*
local_scopes
)
:
data_
(
data
),
offset_
(
offset
),
local_scopes_
(
local_scopes
)
{}
:
OpHandleBase
(
node
),
data_
(
data
),
offset_
(
offset
),
local_scopes_
(
local_scopes
)
{}
FetchOpHandle
::~
FetchOpHandle
()
{
for
(
auto
*
input_var
:
inputs_
)
{
input_var
->
pending_ops_
.
erase
(
this
);
input_var
->
RemoveOutput
(
this
,
this
->
Node
()
);
}
}
...
...
@@ -77,8 +80,8 @@ void FetchOpHandle::RunImpl() {
void
FetchOpHandle
::
WaitInputVarGenerated
(
const
platform
::
Place
&
place
)
{
auto
cpu_ctx
=
platform
::
DeviceContextPool
::
Instance
().
Get
(
place
);
for
(
auto
*
input
:
inputs_
)
{
if
(
input
->
generated_op_
)
{
input
->
generated_op_
->
RecordWaitEventOnCtx
(
cpu_ctx
);
if
(
input
->
GeneratedOp
()
)
{
input
->
GeneratedOp
()
->
RecordWaitEventOnCtx
(
cpu_ctx
);
}
}
}
...
...
paddle/fluid/framework/details/fetch_op_handle.h
浏览文件 @
37e51443
...
...
@@ -28,7 +28,7 @@ namespace details {
struct
FetchOpHandle
:
public
OpHandleBase
{
public:
FetchOpHandle
(
FeedFetchList
*
data
,
size_t
offset
,
FetchOpHandle
(
ir
::
Node
*
node
,
FeedFetchList
*
data
,
size_t
offset
,
std
::
vector
<
Scope
*>
*
local_scopes
);
~
FetchOpHandle
();
...
...
paddle/fluid/framework/details/fuse_vars_op_handle.h
浏览文件 @
37e51443
...
...
@@ -30,10 +30,12 @@ namespace details {
struct
FuseVarsOpHandle
:
public
OpHandleBase
{
public:
FuseVarsOpHandle
(
Scope
*
local_scope
,
const
platform
::
Place
&
place
,
FuseVarsOpHandle
(
ir
::
Node
*
node
,
Scope
*
local_scope
,
const
platform
::
Place
&
place
,
const
std
::
unordered_map
<
std
::
string
,
int64_t
>
&
inputs_numel
,
const
std
::
type_index
&
var_type
)
:
local_scope_
(
local_scope
),
:
OpHandleBase
(
node
),
local_scope_
(
local_scope
),
place_
(
place
),
inputs_numel_
(
inputs_numel
),
type_
(
var_type
)
{
...
...
paddle/fluid/framework/details/gather_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -20,9 +20,10 @@ namespace paddle {
namespace
framework
{
namespace
details
{
GatherOpHandle
::
GatherOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
GatherOpHandle
::
GatherOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
void
GatherOpHandle
::
RunImpl
()
{
if
(
places_
.
size
()
==
1
)
return
;
...
...
paddle/fluid/framework/details/gather_op_handle.h
浏览文件 @
37e51443
...
...
@@ -30,7 +30,7 @@ namespace details {
struct
GatherOpHandle
:
public
OpHandleBase
{
public:
GatherOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
GatherOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
);
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/gather_op_handle_test.cc
浏览文件 @
37e51443
...
...
@@ -70,6 +70,7 @@ struct TestGatherOpHandle {
}
void
InitGatherOp
(
size_t
input_scope_idx
)
{
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
nodes
;
for
(
size_t
j
=
0
;
j
<
gpu_list_
.
size
();
++
j
)
{
local_scopes_
.
push_back
(
&
(
g_scope_
.
NewScope
()));
Scope
&
local_scope
=
local_scopes_
.
back
()
->
NewScope
();
...
...
@@ -81,30 +82,37 @@ struct TestGatherOpHandle {
}
param_scopes_
[
input_scope_idx
]
->
Var
(
"out"
);
op_handle_
.
reset
(
new
GatherOpHandle
(
local_scopes_
,
gpu_list_
));
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
op_handle_
.
reset
(
new
GatherOpHandle
(
nodes
.
back
().
get
(),
local_scopes_
,
gpu_list_
));
// add input
for
(
size_t
j
=
0
;
j
<
gpu_list_
.
size
();
++
j
)
{
op_handle_
->
SetDeviceContext
(
gpu_list_
[
j
],
ctxs_
[
j
].
get
());
auto
*
in_var_handle
=
new
VarHandle
(
1
,
j
,
"input"
,
gpu_list_
[
j
]);
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
in_var_handle
=
new
VarHandle
(
nodes
.
back
().
get
(),
1
,
j
,
"input"
,
gpu_list_
[
j
]);
vars_
.
emplace_back
(
in_var_handle
);
op_handle_
->
AddInput
(
in_var_handle
);
}
// add dummy var
vars_
.
emplace_back
(
new
DummyVarHandle
());
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
vars_
.
emplace_back
(
new
DummyVarHandle
(
nodes
.
back
().
get
()));
DummyVarHandle
*
in_dummy_var_handle
=
static_cast
<
DummyVarHandle
*>
(
vars_
.
back
().
get
());
in_dummy_var_handle
->
generated_op_
=
nullptr
;
in_dummy_var_handle
->
ClearGeneratedOp
()
;
op_handle_
->
AddInput
(
in_dummy_var_handle
);
// add output
auto
*
out_var_handle
=
new
VarHandle
(
2
,
input_scope_idx
,
"out"
,
gpu_list_
[
input_scope_idx
]);
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
out_var_handle
=
new
VarHandle
(
nodes
.
back
().
get
(),
2
,
input_scope_idx
,
"out"
,
gpu_list_
[
input_scope_idx
]);
vars_
.
emplace_back
(
out_var_handle
);
op_handle_
->
AddOutput
(
out_var_handle
);
// add dummy var
vars_
.
emplace_back
(
new
DummyVarHandle
());
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
vars_
.
emplace_back
(
new
DummyVarHandle
(
nodes
.
back
().
get
()));
DummyVarHandle
*
dummy_var_handle
=
static_cast
<
DummyVarHandle
*>
(
vars_
.
back
().
get
());
op_handle_
->
AddOutput
(
dummy_var_handle
);
...
...
paddle/fluid/framework/details/multi_devices_graph_builder.cc
浏览文件 @
37e51443
...
...
@@ -328,12 +328,16 @@ void MultiDevSSAGraphBuilder::SetCommunicationContext(
void
MultiDevSSAGraphBuilder
::
CreateBroadcastOp
(
Graph
*
result
,
const
std
::
string
&
p_name
,
size_t
src_dev_id
)
const
{
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
#ifdef PADDLE_WITH_CUDA
auto
*
op_handle
=
new
BroadcastOpHandle
(
local_scopes_
,
places_
,
nccl_ctxs_
);
auto
*
op_handle
=
new
BroadcastOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
,
nccl_ctxs_
);
#else
auto
*
op_handle
=
new
BroadcastOpHandle
(
local_scopes_
,
places_
);
auto
*
op_handle
=
new
BroadcastOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
);
#endif
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
op_handle
);
auto
*
in
=
result
->
Get
<
GraphVars
>
(
"vars"
).
at
(
src_dev_id
).
at
(
p_name
).
back
().
get
();
op_handle
->
AddInput
(
in
);
...
...
@@ -341,8 +345,10 @@ void MultiDevSSAGraphBuilder::CreateBroadcastOp(Graph *result,
for
(
size_t
i
=
0
;
i
<
places_
.
size
();
++
i
)
{
auto
&
p
=
places_
[
i
];
SetCommunicationContext
(
op_handle
,
p
);
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
&
vars
=
result
->
Get
<
GraphVars
>
(
"vars"
).
at
(
i
).
at
(
p_name
);
auto
*
out_var
=
new
VarHandle
(
vars
.
size
(),
i
,
p_name
,
p
);
auto
*
out_var
=
new
VarHandle
(
result
->
nodes
.
back
().
get
(),
vars
.
size
(),
i
,
p_name
,
p
);
vars
.
emplace_back
(
out_var
);
op_handle
->
AddOutput
(
out_var
);
}
...
...
@@ -351,19 +357,21 @@ void MultiDevSSAGraphBuilder::CreateBroadcastOp(Graph *result,
void
MultiDevSSAGraphBuilder
::
CreateComputationalOp
(
Graph
*
result
,
const
OpDesc
&
op
,
int
dev_id
)
const
{
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ComputationOpHandle
(
op
,
local_scopes_
[
dev_id
],
places_
[
dev_id
]));
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ComputationOpHandle
(
result
->
nodes
.
back
().
get
(),
op
,
local_scopes_
[
dev_id
],
places_
[
dev_id
]));
CreateOpHandleIOs
(
result
,
op
,
dev_id
);
}
void
MultiDevSSAGraphBuilder
::
InsertAllReduceOp
(
Graph
*
result
,
const
std
::
string
&
og
)
const
{
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
#ifdef PADDLE_WITH_CUDA
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
AllReduceOpHandle
(
local_scopes_
,
places_
,
nccl_ctxs_
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
AllReduceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
,
nccl_ctxs_
));
#else
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
AllReduceOpHandle
(
local_scopes_
,
places_
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
AllReduceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
));
#endif
auto
*
op_handle
=
result
->
Get
<
GraphOps
>
(
"ops"
).
back
().
get
();
...
...
@@ -375,7 +383,8 @@ void MultiDevSSAGraphBuilder::InsertAllReduceOp(Graph *result,
auto
&
prev_grad
=
vars
.
back
();
op_handle
->
AddInput
(
prev_grad
.
get
());
auto
var
=
new
VarHandle
(
vars
.
size
(),
i
,
og
,
p
);
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
var
=
new
VarHandle
(
result
->
nodes
.
back
().
get
(),
vars
.
size
(),
i
,
og
,
p
);
vars
.
emplace_back
(
var
);
op_handle
->
AddOutput
(
var
);
}
...
...
@@ -383,12 +392,13 @@ void MultiDevSSAGraphBuilder::InsertAllReduceOp(Graph *result,
void
MultiDevSSAGraphBuilder
::
InsertDataBalanceOp
(
Graph
*
result
,
const
std
::
vector
<
std
::
string
>
&
datas
)
const
{
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
#ifdef PADDLE_WITH_CUDA
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
DataBalanceOpHandle
(
local_scopes_
,
places_
,
nccl_ctxs_
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
DataBalanceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
,
nccl_ctxs_
));
#else
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
DataBalanceOpHandle
(
local_scopes_
,
places_
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
DataBalanceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
));
#endif
auto
*
op_handle
=
result
->
Get
<
GraphOps
>
(
"ops"
).
back
().
get
();
for
(
size_t
i
=
0
;
i
<
places_
.
size
();
++
i
)
{
...
...
@@ -398,7 +408,9 @@ void MultiDevSSAGraphBuilder::InsertDataBalanceOp(
auto
&
vars
=
result
->
Get
<
GraphVars
>
(
"vars"
)[
i
][
d_name
];
PADDLE_ENFORCE
(
!
vars
.
empty
());
op_handle
->
AddInput
(
vars
.
back
().
get
());
auto
var
=
new
VarHandle
(
vars
.
size
(),
i
,
d_name
,
p
);
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
var
=
new
VarHandle
(
result
->
nodes
.
back
().
get
(),
vars
.
size
(),
i
,
d_name
,
p
);
vars
.
emplace_back
(
var
);
op_handle
->
AddOutput
(
var
);
}
...
...
@@ -452,10 +464,10 @@ void MultiDevSSAGraphBuilder::CreateScaleLossGradOp(Graph *result) const {
auto
*
communication_dev_ctx
=
platform
::
DeviceContextPool
::
Instance
().
Get
(
platform
::
CPUPlace
());
#endif
auto
*
op_handle
=
new
ScaleLossGradOpHandle
(
local_scopes_
.
size
(),
local_scopes_
[
i
],
places_
[
i
],
communication_dev_ctx
);
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
auto
*
op_handle
=
new
ScaleLossGradOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
.
size
(),
local_scopes_
[
i
],
places_
[
i
],
communication_dev_ctx
);
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
op_handle
);
// FIXME: Currently ScaleLossGradOp only use device_count as scale
...
...
@@ -475,8 +487,9 @@ void MultiDevSSAGraphBuilder::CreateComputationalOps(Graph *result,
for
(
size_t
scope_idx
=
0
;
scope_idx
<
num_places
;
++
scope_idx
)
{
auto
p
=
places_
[
scope_idx
];
auto
s
=
local_scopes_
[
scope_idx
];
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ComputationOpHandle
(
op
,
s
,
p
));
new
ComputationOpHandle
(
result
->
nodes
.
back
().
get
(),
op
,
s
,
p
));
CreateOpHandleIOs
(
result
,
op
,
scope_idx
);
}
}
...
...
@@ -484,12 +497,13 @@ void MultiDevSSAGraphBuilder::CreateComputationalOps(Graph *result,
VarHandle
*
MultiDevSSAGraphBuilder
::
CreateReduceOp
(
Graph
*
result
,
const
std
::
string
&
og
,
int
dst_dev_id
)
const
{
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
#ifdef PADDLE_WITH_CUDA
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ReduceOpHandle
(
local_scopes_
,
places_
,
nccl_ctxs_
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ReduceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
,
nccl_ctxs_
));
#else
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
ReduceOpHandle
(
local_scopes_
,
places_
));
new
ReduceOpHandle
(
result
->
nodes
.
back
().
get
(),
local_scopes_
,
places_
));
#endif
auto
*
op_handle
=
result
->
Get
<
GraphOps
>
(
"ops"
).
back
().
get
();
...
...
@@ -502,7 +516,9 @@ VarHandle *MultiDevSSAGraphBuilder::CreateReduceOp(Graph *result,
op_handle
->
AddInput
(
prev_grad
.
get
());
}
auto
&
vars
=
result
->
Get
<
GraphVars
>
(
"vars"
)[
dst_dev_id
][
og
];
auto
var
=
new
VarHandle
(
vars
.
size
(),
dst_dev_id
,
og
,
places_
[
dst_dev_id
]);
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
var
=
new
VarHandle
(
result
->
nodes
.
back
().
get
(),
vars
.
size
(),
dst_dev_id
,
og
,
places_
[
dst_dev_id
]);
vars
.
emplace_back
(
var
);
op_handle
->
AddOutput
(
var
);
return
var
;
...
...
@@ -514,7 +530,8 @@ void MultiDevSSAGraphBuilder::ConnectOp(Graph *result, OpHandleBase *op,
const
std
::
string
&
prev_op_name
)
const
{
for
(
auto
&
prev_op
:
result
->
Get
<
GraphOps
>
(
"ops"
))
{
if
(
prev_op
->
Name
()
==
prev_op_name
)
{
auto
*
dep_var
=
new
DummyVarHandle
();
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
dep_var
=
new
DummyVarHandle
(
result
->
nodes
.
back
().
get
());
prev_op
->
AddOutput
(
dep_var
);
result
->
Get
<
GraphDepVars
>
(
"dep_vars"
).
emplace
(
dep_var
);
op
->
AddInput
(
dep_var
);
...
...
@@ -587,8 +604,10 @@ void MultiDevSSAGraphBuilder::CreateRPCOp(Graph *result,
PADDLE_ENFORCE
(
op_dev_id
!=
-
1
,
"can not find the right place for rpc op: %s"
,
op
.
Type
());
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
RPCOpHandle
(
op
,
local_scopes_
[
op_dev_id
],
op
.
Type
(),
places_
[
op_dev_id
]));
result
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
result
->
Get
<
GraphOps
>
(
"ops"
).
emplace_back
(
new
RPCOpHandle
(
result
->
nodes
.
back
().
get
(),
op
,
local_scopes_
[
op_dev_id
],
op
.
Type
(),
places_
[
op_dev_id
]));
if
(
op
.
Type
()
==
"send_barrier"
)
{
ConnectOp
(
result
,
result
->
Get
<
GraphOps
>
(
"ops"
).
back
().
get
(),
"send"
);
...
...
paddle/fluid/framework/details/op_handle_base.cc
浏览文件 @
37e51443
...
...
@@ -80,19 +80,21 @@ void OpHandleBase::RecordWaitEventOnCtx(platform::DeviceContext *waited_ctx) {
void
OpHandleBase
::
AddInput
(
VarHandleBase
*
in
)
{
this
->
inputs_
.
emplace_back
(
in
);
in
->
pending_ops_
.
insert
(
this
);
node_
->
inputs
.
push_back
(
in
->
Node
());
in
->
AddOutput
(
this
,
this
->
Node
());
}
void
OpHandleBase
::
AddOutput
(
VarHandleBase
*
out
)
{
outputs_
.
emplace_back
(
out
);
out
->
generated_op_
=
this
;
node_
->
outputs
.
push_back
(
out
->
Node
());
out
->
AddInput
(
this
,
this
->
Node
());
}
void
OpHandleBase
::
WaitInputVarGenerated
()
{
for
(
auto
in_var
:
inputs_
)
{
if
(
NeedWait
(
in_var
))
{
for
(
auto
&
pair
:
dev_ctxes_
)
{
in_var
->
generated_op_
->
RecordWaitEventOnCtx
(
pair
.
second
);
in_var
->
GeneratedOp
()
->
RecordWaitEventOnCtx
(
pair
.
second
);
}
}
}
...
...
@@ -101,7 +103,7 @@ void OpHandleBase::WaitInputVarGenerated() {
void
OpHandleBase
::
WaitInputVarGenerated
(
const
platform
::
Place
&
place
)
{
for
(
auto
*
in
:
inputs_
)
{
if
(
NeedWait
(
in
))
{
in
->
generated_op_
->
RecordWaitEventOnCtx
(
dev_ctxes_
[
place
]);
in
->
GeneratedOp
()
->
RecordWaitEventOnCtx
(
dev_ctxes_
[
place
]);
}
}
}
...
...
@@ -117,7 +119,7 @@ size_t OpHandleBase::NoDummyInputSize() const {
}
bool
OpHandleBase
::
NeedWait
(
VarHandleBase
*
in_var
)
{
return
in_var
&&
in_var
->
generated_op_
;
return
in_var
&&
in_var
->
GeneratedOp
()
;
}
void
OpHandleBase
::
RunAndRecordEvent
(
const
std
::
function
<
void
()
>
&
callback
)
{
...
...
paddle/fluid/framework/details/op_handle_base.h
浏览文件 @
37e51443
...
...
@@ -17,6 +17,7 @@
#include <string>
#include <vector>
#include "paddle/fluid/framework/details/var_handle.h"
#include "paddle/fluid/framework/ir/node.h"
#include "paddle/fluid/platform/device_context.h"
#include "paddle/fluid/platform/macros.h"
...
...
@@ -28,7 +29,7 @@ constexpr char kLocalExecScopeName[] = "@LCOAL_SCOPE@";
class
OpHandleBase
{
public:
OpHandleBase
(
)
{}
explicit
OpHandleBase
(
ir
::
Node
*
node
)
:
node_
(
node
)
{}
virtual
~
OpHandleBase
();
...
...
@@ -82,6 +83,8 @@ class OpHandleBase {
size_t
NoDummyInputSize
()
const
;
ir
::
Node
*
Node
()
{
return
node_
;
}
protected:
void
RunAndRecordEvent
(
const
std
::
function
<
void
()
>
&
callback
);
...
...
@@ -90,6 +93,7 @@ class OpHandleBase {
virtual
void
RunImpl
()
=
0
;
ir
::
Node
*
node_
;
std
::
vector
<
VarHandleBase
*>
inputs_
;
std
::
vector
<
VarHandleBase
*>
outputs_
;
std
::
map
<
platform
::
Place
,
platform
::
DeviceContext
*>
dev_ctxes_
;
...
...
paddle/fluid/framework/details/reduce_op_handle.h
浏览文件 @
37e51443
...
...
@@ -37,10 +37,13 @@ struct ReduceOpHandle : public OpHandleBase {
#ifdef PADDLE_WITH_CUDA
const
platform
::
NCCLContextMap
*
nccl_ctxs_
;
ReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
ReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
,
const
platform
::
NCCLContextMap
*
nccl_ctxs
)
:
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
nccl_ctxs
)
{
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
),
nccl_ctxs_
(
nccl_ctxs
)
{
if
(
nccl_ctxs_
)
{
for
(
auto
&
p_ctx
:
nccl_ctxs_
->
contexts_
)
{
dev_ctxes_
[
platform
::
CUDAPlace
(
p_ctx
.
first
)]
=
p_ctx
.
second
.
ctx_
.
get
();
...
...
@@ -48,9 +51,9 @@ struct ReduceOpHandle : public OpHandleBase {
}
}
#else
ReduceOpHandle
(
const
std
::
vector
<
Scope
*>
&
local_scopes
,
ReduceOpHandle
(
ir
::
Node
*
node
,
const
std
::
vector
<
Scope
*>
&
local_scopes
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
:
OpHandleBase
(
node
),
local_scopes_
(
local_scopes
),
places_
(
places
)
{}
#endif
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/reduce_op_handle_test.cc
浏览文件 @
37e51443
...
...
@@ -84,6 +84,7 @@ struct TestReduceOpHandle {
}
void
InitReduceOp
(
size_t
out_scope_idx
)
{
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
nodes
;
// init scope
for
(
size_t
j
=
0
;
j
<
gpu_list_
.
size
();
++
j
)
{
local_scopes_
.
push_back
(
&
(
g_scope_
.
NewScope
()));
...
...
@@ -96,19 +97,21 @@ struct TestReduceOpHandle {
}
param_scopes_
[
out_scope_idx
]
->
Var
(
"out"
);
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
));
if
(
use_gpu_
)
{
#ifdef PADDLE_WITH_CUDA
op_handle_
.
reset
(
new
ReduceOpHandle
(
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
op_handle_
.
reset
(
new
ReduceOpHandle
(
nodes
.
back
().
get
(),
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
#else
PADDLE_THROW
(
"CUDA is not support."
);
#endif
}
else
{
#ifdef PADDLE_WITH_CUDA
op_handle_
.
reset
(
new
ReduceOpHandle
(
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
op_handle_
.
reset
(
new
ReduceOpHandle
(
nodes
.
back
().
get
(),
local_scopes_
,
gpu_list_
,
nccl_ctxs_
.
get
()));
#else
op_handle_
.
reset
(
new
ReduceOpHandle
(
local_scopes_
,
gpu_list_
));
op_handle_
.
reset
(
new
ReduceOpHandle
(
nodes
.
back
().
get
(),
local_scopes_
,
gpu_list_
));
#endif
}
...
...
@@ -118,8 +121,10 @@ struct TestReduceOpHandle {
if
(
!
use_gpu_
)
{
op_handle_
->
SetDeviceContext
(
gpu_list_
[
j
],
ctxs_
[
j
].
get
());
}
auto
*
in_var_handle
=
new
VarHandle
(
1
,
j
,
"input"
,
gpu_list_
[
j
]);
in_var_handle
->
generated_op_
=
nullptr
;
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
in_var_handle
=
new
VarHandle
(
nodes
.
back
().
get
(),
1
,
j
,
"input"
,
gpu_list_
[
j
]);
in_var_handle
->
ClearGeneratedOp
();
vars_
.
emplace_back
(
in_var_handle
);
op_handle_
->
AddInput
(
in_var_handle
);
}
...
...
@@ -128,12 +133,13 @@ struct TestReduceOpHandle {
vars_
.
emplace_back
(
new
DummyVarHandle
());
DummyVarHandle
*
in_dummy_var_handle
=
static_cast
<
DummyVarHandle
*>
(
vars_
.
back
().
get
());
in_dummy_var_handle
->
generated_op_
=
nullptr
;
in_dummy_var_handle
->
ClearGeneratedOp
()
;
op_handle_
->
AddInput
(
in_dummy_var_handle
);
// add output
auto
*
out_var_handle
=
new
VarHandle
(
2
,
out_scope_idx
,
"out"
,
gpu_list_
[
out_scope_idx
]);
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
out_var_handle
=
new
VarHandle
(
nodes
.
back
().
get
(),
2
,
out_scope_idx
,
"out"
,
gpu_list_
[
out_scope_idx
]);
vars_
.
emplace_back
(
out_var_handle
);
op_handle_
->
AddOutput
(
out_var_handle
);
...
...
paddle/fluid/framework/details/rpc_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -18,10 +18,11 @@ namespace paddle {
namespace
framework
{
namespace
details
{
RPCOpHandle
::
RPCOpHandle
(
const
framework
::
OpDesc
&
op_desc
,
RPCOpHandle
::
RPCOpHandle
(
ir
::
Node
*
node
,
const
framework
::
OpDesc
&
op_desc
,
const
Scope
*
local_scope
,
const
std
::
string
&
name
,
const
platform
::
Place
&
place
)
:
op_
(
framework
::
OpRegistry
::
CreateOp
(
op_desc
)),
:
OpHandleBase
(
node
),
op_
(
framework
::
OpRegistry
::
CreateOp
(
op_desc
)),
local_scope_
(
local_scope
),
name_
(
name
),
place_
(
place
)
{}
...
...
@@ -35,8 +36,8 @@ void RPCOpHandle::RunImpl() {
if
(
in
->
DebugString
()
==
"dummy"
)
{
// HACK
continue
;
}
if
(
in
->
generated_op_
)
{
in
->
generated_op_
->
RecordWaitEventOnCtx
(
dev_ctxes_
[
p
]);
if
(
in
->
GeneratedOp
()
)
{
in
->
GeneratedOp
()
->
RecordWaitEventOnCtx
(
dev_ctxes_
[
p
]);
}
}
auto
&
tmp_scope
=
local_scope_
->
FindVar
(
kLocalExecScopeName
)
->
Get
<
Scope
*>
();
...
...
paddle/fluid/framework/details/rpc_op_handle.h
浏览文件 @
37e51443
...
...
@@ -28,8 +28,9 @@ namespace framework {
namespace
details
{
struct
RPCOpHandle
:
public
OpHandleBase
{
RPCOpHandle
(
const
framework
::
OpDesc
&
op_desc
,
const
Scope
*
local_scope
,
const
std
::
string
&
name
,
const
platform
::
Place
&
place
);
RPCOpHandle
(
ir
::
Node
*
node
,
const
framework
::
OpDesc
&
op_desc
,
const
Scope
*
local_scope
,
const
std
::
string
&
name
,
const
platform
::
Place
&
place
);
std
::
string
Name
()
const
override
;
...
...
paddle/fluid/framework/details/scale_loss_grad_op_handle.cc
浏览文件 @
37e51443
...
...
@@ -19,10 +19,14 @@
namespace
paddle
{
namespace
framework
{
namespace
details
{
ScaleLossGradOpHandle
::
ScaleLossGradOpHandle
(
size_t
num_dev
,
Scope
*
scope
,
ScaleLossGradOpHandle
::
ScaleLossGradOpHandle
(
ir
::
Node
*
node
,
size_t
num_dev
,
Scope
*
scope
,
platform
::
Place
place
,
platform
::
DeviceContext
*
dev_ctx
)
:
coeff_
(
static_cast
<
float
>
(
1.0
/
num_dev
)),
scope_
(
scope
),
place_
(
place
)
{
:
OpHandleBase
(
node
),
coeff_
(
static_cast
<
float
>
(
1.0
/
num_dev
)),
scope_
(
scope
),
place_
(
place
)
{
dev_ctxes_
[
place_
]
=
dev_ctx
;
}
...
...
paddle/fluid/framework/details/scale_loss_grad_op_handle.h
浏览文件 @
37e51443
...
...
@@ -25,7 +25,8 @@ namespace framework {
namespace
details
{
struct
ScaleLossGradOpHandle
:
public
OpHandleBase
{
ScaleLossGradOpHandle
(
size_t
num_dev
,
Scope
*
scope
,
platform
::
Place
place
,
ScaleLossGradOpHandle
(
ir
::
Node
*
node
,
size_t
num_dev
,
Scope
*
scope
,
platform
::
Place
place
,
platform
::
DeviceContext
*
context
);
~
ScaleLossGradOpHandle
()
final
;
...
...
paddle/fluid/framework/details/ssa_graph_builder.cc
浏览文件 @
37e51443
...
...
@@ -27,8 +27,8 @@ void SSAGraphBuilder::PolishGraphToSupportDataHazards(Graph *graph) {
auto
it_old
=
name_pair
.
second
.
rbegin
();
++
it_old
;
for
(;
it_old
!=
name_pair
.
second
.
rend
();
it_new
=
it_old
,
++
it_old
)
{
auto
*
write_op
=
(
*
it_new
)
->
generated_op_
;
auto
&
read_ops
=
(
*
it_old
)
->
pending_ops_
;
OpHandleBase
*
write_op
=
(
*
it_new
)
->
GeneratedOp
()
;
const
auto
&
read_ops
=
(
*
it_old
)
->
PendingOps
()
;
for
(
auto
*
read_op
:
read_ops
)
{
// Manually add a dependency var from read_op to write_op;
...
...
@@ -37,7 +37,8 @@ void SSAGraphBuilder::PolishGraphToSupportDataHazards(Graph *graph) {
continue
;
}
auto
*
dep_var
=
new
DummyVarHandle
();
graph
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
dep_var
=
new
DummyVarHandle
(
graph
->
nodes
.
back
().
get
());
read_op
->
AddOutput
(
dep_var
);
write_op
->
AddInput
(
dep_var
);
graph
->
Get
<
GraphDepVars
>
(
"dep_vars"
).
emplace
(
dep_var
);
...
...
@@ -54,7 +55,9 @@ VarHandle *SSAGraphBuilder::CreateOrGetLatestVarHandle(
auto
&
var_holder
=
var_holders
[
each_var_name
];
VarHandle
*
var
=
nullptr
;
if
(
var_holder
.
empty
())
{
var
=
new
VarHandle
(
0
,
place_offset
,
each_var_name
,
place
);
graph
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
var
=
new
VarHandle
(
graph
->
nodes
.
back
().
get
(),
0
,
place_offset
,
each_var_name
,
place
);
var_holder
.
emplace_back
(
var
);
}
else
{
var
=
var_holder
.
rbegin
()
->
get
();
...
...
@@ -68,7 +71,9 @@ void SSAGraphBuilder::CreateOpOutput(Graph *graph, OpHandleBase *op_handle,
size_t
place_offset
)
{
auto
&
vars
=
graph
->
Get
<
GraphVars
>
(
"vars"
)[
place_offset
][
each_var_name
];
size_t
version
=
vars
.
size
();
auto
var
=
new
VarHandle
(
version
,
place_offset
,
each_var_name
,
place
);
graph
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
var
=
new
VarHandle
(
graph
->
nodes
.
back
().
get
(),
version
,
place_offset
,
each_var_name
,
place
);
vars
.
emplace_back
(
var
);
op_handle
->
AddOutput
(
var
);
}
...
...
@@ -80,7 +85,8 @@ void SSAGraphBuilder::AddOutputToLeafOps(Graph *graph) {
if
(
!
op
->
Outputs
().
empty
())
{
continue
;
}
auto
*
dummy_leaf
=
new
DummyVarHandle
();
graph
->
nodes
.
emplace_back
(
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
));
auto
*
dummy_leaf
=
new
DummyVarHandle
(
graph
->
nodes
.
back
().
get
());
graph
->
Get
<
GraphDepVars
>
(
"dep_vars"
).
emplace
(
dummy_leaf
);
op
->
AddOutput
(
dummy_leaf
);
}
...
...
paddle/fluid/framework/details/ssa_graph_checker.cc
浏览文件 @
37e51443
...
...
@@ -28,7 +28,7 @@ bool SSAGraghBuilderWithChecker::IsValidGraph(const Graph *graph) const {
auto
insert_pending_var
=
[
&
](
VarHandleBase
*
var
)
{
pending_vars
.
insert
(
var
);
if
(
var
->
generated_op_
==
nullptr
)
{
if
(
var
->
GeneratedOp
()
==
nullptr
)
{
ready_vars
.
emplace
(
var
);
}
};
...
...
@@ -71,7 +71,7 @@ bool SSAGraghBuilderWithChecker::IsValidGraph(const Graph *graph) const {
for
(
auto
ready_var
:
ready_vars
)
{
pending_vars
.
erase
(
ready_var
);
for
(
auto
*
op
:
ready_var
->
pending_ops_
)
{
for
(
auto
*
op
:
ready_var
->
PendingOps
()
)
{
auto
&
deps
=
--
pending_ops
[
op
];
if
(
deps
==
0
)
{
ready_ops
.
insert
(
op
);
...
...
paddle/fluid/framework/details/threaded_ssa_graph_executor.cc
浏览文件 @
37e51443
...
...
@@ -65,11 +65,12 @@ FeedFetchList ThreadedSSAGraphExecutor::Run(
// Step 2. Insert FetchOps
std
::
vector
<
std
::
unique_ptr
<
FetchOpHandle
>>
fetch_ops
;
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
tmp_nodes
;
std
::
unordered_set
<
std
::
unique_ptr
<
VarHandleBase
>>
fetch_dependencies
;
FeedFetchList
fetch_data
(
fetch_tensors
.
size
());
InsertFetchOps
(
fetch_tensors
,
&
fetch_ops
,
&
fetch_dependencies
,
&
pending_op
s
,
&
pending_vars
,
&
ready_vars
,
&
fetch_data
);
InsertFetchOps
(
fetch_tensors
,
&
fetch_ops
,
&
tmp_nodes
,
&
fetch_dependencie
s
,
&
pending_
ops
,
&
pending_
vars
,
&
ready_vars
,
&
fetch_data
);
auto
run_all_ops
=
[
&
](
std
::
unordered_set
<
OpHandleBase
*>
&
set
)
{
for
(
auto
*
op
:
set
)
{
...
...
@@ -126,7 +127,7 @@ FeedFetchList ThreadedSSAGraphExecutor::Run(
// Find the ready_ops after the ready_var.
for
(
auto
ready_var
:
cur_ready_vars
)
{
pending_vars
.
erase
(
ready_var
);
for
(
auto
*
op
:
ready_var
->
pending_ops_
)
{
for
(
auto
*
op
:
ready_var
->
PendingOps
()
)
{
auto
&
deps
=
pending_ops
[
op
];
--
deps
;
if
(
deps
==
0
)
{
...
...
@@ -152,6 +153,7 @@ FeedFetchList ThreadedSSAGraphExecutor::Run(
void
ThreadedSSAGraphExecutor
::
InsertFetchOps
(
const
std
::
vector
<
std
::
string
>
&
fetch_tensors
,
std
::
vector
<
std
::
unique_ptr
<
FetchOpHandle
>>
*
fetch_ops
,
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
*
temp_nodes
,
std
::
unordered_set
<
std
::
unique_ptr
<
VarHandleBase
>>
*
fetch_dependencies
,
std
::
unordered_map
<
OpHandleBase
*
,
size_t
>
*
pending_ops
,
std
::
unordered_set
<
VarHandleBase
*>
*
pending_vars
,
...
...
@@ -170,7 +172,10 @@ void ThreadedSSAGraphExecutor::InsertFetchOps(
for
(
size_t
i
=
0
;
i
<
fetch_tensors
.
size
();
++
i
)
{
auto
&
var_name
=
fetch_tensors
[
i
];
auto
&
vars
=
fetched_vars
.
at
(
var_name
);
auto
*
op
=
new
FetchOpHandle
(
fetch_data
,
i
,
&
local_scopes_
);
ir
::
Node
*
fetch_n
=
new
ir
::
Node
(
ir
::
Node
::
Type
::
kOperation
);
auto
*
op
=
new
FetchOpHandle
(
fetch_n
,
fetch_data
,
i
,
&
local_scopes_
);
temp_nodes
->
emplace_back
(
fetch_n
);
fetch_ops
->
emplace_back
(
op
);
for
(
auto
&
p
:
places_
)
{
...
...
@@ -181,9 +186,11 @@ void ThreadedSSAGraphExecutor::InsertFetchOps(
op
->
AddInput
(
var
);
}
auto
*
fetch_dummy
=
new
DummyVarHandle
();
ir
::
Node
*
dummy_n
=
new
ir
::
Node
(
ir
::
Node
::
Type
::
kVariable
);
auto
*
fetch_dummy
=
new
DummyVarHandle
(
dummy_n
);
op
->
AddOutput
(
fetch_dummy
);
fetch_dependencies
->
emplace
(
fetch_dummy
);
temp_nodes
->
emplace_back
(
dummy_n
);
this
->
InsertPendingVar
(
pending_vars
,
ready_vars
,
fetch_dummy
);
this
->
InsertPendingOp
(
pending_ops
,
op
);
}
...
...
@@ -199,7 +206,7 @@ void ThreadedSSAGraphExecutor::InsertPendingVar(
std
::
unordered_set
<
VarHandleBase
*>
*
pending_vars
,
BlockingQueue
<
VarHandleBase
*>
*
ready_vars
,
VarHandleBase
*
var
)
const
{
pending_vars
->
insert
(
var
);
if
(
var
->
generated_op_
==
nullptr
)
{
if
(
var
->
GeneratedOp
()
==
nullptr
)
{
ready_vars
->
Push
(
var
);
}
}
...
...
paddle/fluid/framework/details/threaded_ssa_graph_executor.h
浏览文件 @
37e51443
...
...
@@ -72,6 +72,7 @@ class ThreadedSSAGraphExecutor : public SSAGraphExecutor {
void
InsertFetchOps
(
const
std
::
vector
<
std
::
string
>
&
fetch_tensors
,
std
::
vector
<
std
::
unique_ptr
<
FetchOpHandle
>>
*
fetch_ops
,
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
*
temp_nodes
,
std
::
unordered_set
<
std
::
unique_ptr
<
VarHandleBase
>>
*
fetch_dependencies
,
std
::
unordered_map
<
OpHandleBase
*
,
size_t
>
*
pending_ops
,
std
::
unordered_set
<
VarHandleBase
*>
*
pending_vars
,
...
...
paddle/fluid/framework/details/var_handle.h
浏览文件 @
37e51443
...
...
@@ -13,6 +13,8 @@
// limitations under the License.
#pragma once
#include <algorithm>
#include <sstream>
#include <string>
#include <unordered_set>
...
...
@@ -30,15 +32,51 @@ class OpHandleBase;
// A variable can only be generated by a single operator. i.e.
// This is a single assignment graph.
struct
VarHandleBase
{
explicit
VarHandleBase
(
ir
::
Node
*
node
)
:
node_
(
node
)
{}
virtual
~
VarHandleBase
();
virtual
std
::
string
DebugString
()
const
=
0
;
void
AddInput
(
OpHandleBase
*
in
,
ir
::
Node
*
node
)
{
node_
->
inputs
.
clear
();
node_
->
inputs
.
push_back
(
node
);
generated_op_
=
in
;
}
void
AddOutput
(
OpHandleBase
*
out
,
ir
::
Node
*
node
)
{
if
(
pending_ops_
.
find
(
out
)
==
pending_ops_
.
end
())
{
pending_ops_
.
insert
(
out
);
node_
->
outputs
.
push_back
(
node
);
}
}
void
RemoveOutput
(
OpHandleBase
*
out
,
ir
::
Node
*
node
)
{
pending_ops_
.
erase
(
out
);
std
::
remove
(
node_
->
outputs
.
begin
(),
node_
->
outputs
.
end
(),
node
);
}
void
ClearGeneratedOp
()
{
generated_op_
=
nullptr
;
node_
->
inputs
.
clear
();
}
OpHandleBase
*
GeneratedOp
()
{
return
generated_op_
;
}
const
std
::
unordered_set
<
OpHandleBase
*>&
PendingOps
()
const
{
return
pending_ops_
;
}
ir
::
Node
*
Node
()
{
return
node_
;
}
protected:
// The operator who generate this variable. nullptr if the variable
// is a root node.
OpHandleBase
*
generated_op_
{
nullptr
};
// Operators which depend on this variable ready.
std
::
unordered_set
<
OpHandleBase
*>
pending_ops_
;
ir
::
Node
*
node_
;
};
// VarHandle is actually a single version of Runtime Variable.
...
...
@@ -47,11 +85,14 @@ struct VarHandleBase {
//
// NOTE: runtime variables have place.
struct
VarHandle
:
public
VarHandleBase
{
explicit
VarHandle
(
ir
::
Node
*
node
)
:
VarHandleBase
(
node
)
{}
std
::
string
DebugString
()
const
override
;
VarHandle
(
size_t
version
,
size_t
scope_index
,
std
::
string
name
,
platform
::
Place
place
)
:
version_
(
version
),
VarHandle
(
ir
::
Node
*
node
,
size_t
version
,
size_t
scope_index
,
std
::
string
name
,
platform
::
Place
place
)
:
VarHandleBase
(
node
),
version_
(
version
),
scope_idx_
(
scope_index
),
name_
(
std
::
move
(
name
)),
place_
(
std
::
move
(
place
))
{}
...
...
@@ -71,6 +112,8 @@ struct VarHandle : public VarHandleBase {
// Dummy Variable. It is used to represent dependencies between operators
struct
DummyVarHandle
:
public
VarHandleBase
{
explicit
DummyVarHandle
(
ir
::
Node
*
node
)
:
VarHandleBase
(
node
)
{}
std
::
string
DebugString
()
const
override
;
};
...
...
paddle/fluid/framework/ir/node.h
浏览文件 @
37e51443
...
...
@@ -14,10 +14,12 @@ limitations under the License. */
#pragma once
#include <algorithm>
#include <cstdint>
#include <functional>
#include <map>
#include <string>
#include <unordered_set>
#include <vector>
#include "paddle/fluid/platform/macros.h"
#include "paddle/fluid/platform/variant.h"
...
...
@@ -30,10 +32,10 @@ class Node {
public:
enum
class
Type
{
kNone
=
-
1
,
kOperation
,
kVariable
};
Node
(
const
std
::
string
&
name
,
Type
type
)
:
name_
(
name
),
type_
(
type
)
{}
explicit
Node
(
Type
type
)
:
type_
(
type
)
{}
virtual
~
Node
()
{
for
(
auto
&
attr
:
attrs_
)
{
for
(
auto
&
attr
:
attrs_
)
{
if
(
attr_dels_
.
find
(
attr
.
first
)
!=
attr_dels_
.
end
())
{
attr_dels_
[
attr
.
first
]();
}
...
...
@@ -42,54 +44,32 @@ class Node {
attrs_
.
clear
();
}
int64_t
ID
()
const
{
return
id_
;
}
std
::
string
Name
()
const
{
return
name_
;
}
virtual
std
::
string
ToString
()
const
{
return
Name
()
+
"("
+
std
::
to_string
(
ID
())
+
")"
;
}
virtual
std
::
string
DebugString
()
const
=
0
;
Type
NodeType
()
const
{
return
type_
;
}
template
<
typename
AttrType
>
void
Set
(
const
std
::
string
&
name
,
AttrType
attr
)
{
void
Set
(
const
std
::
string
&
name
,
AttrType
attr
)
{
attrs_
[
name
]
=
attr
;
}
template
<
typename
AttrType
>
void
Set
(
const
std
::
string
&
name
,
AttrType
*
attr
,
void
Set
(
const
std
::
string
&
name
,
AttrType
*
attr
,
std
::
function
<
void
(
void
)
>
attr_del
)
{
attrs_
[
name
]
=
attr
;
attr_dels_
[
name
]
=
attr_del
;
}
std
::
vector
<
Node
*>
inputs
;
std
::
vector
<
Node
*>
outputs
;
std
::
vector
<
Node
*>
inputs
;
std
::
vector
<
Node
*>
outputs
;
protected:
std
::
map
<
std
::
string
,
boost
::
any
>
attrs_
;
std
::
map
<
std
::
string
,
std
::
function
<
void
(
void
)
>>
attr_dels_
;
int64_t
id_
=
0
;
std
::
string
name_
;
Type
type_
;
private:
DISABLE_COPY_AND_ASSIGN
(
Node
);
};
class
Variable
:
public
Node
{
public:
explicit
Variable
(
const
std
::
string
&
name
)
:
Node
(
name
,
Type
::
kVariable
)
{}
};
class
Operation
:
public
Node
{
public:
explicit
Operation
(
const
std
::
string
&
name
)
:
Node
(
name
,
Type
::
kOperation
)
{}
};
}
// namespace ir
}
// namespace framework
}
// namespace paddle
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