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0b3465d2
编写于
7月 20, 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
better
上级
dcaf183d
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
308 addition
and
49 deletion
+308
-49
paddle/fluid/framework/details/CMakeLists.txt
paddle/fluid/framework/details/CMakeLists.txt
+1
-1
paddle/fluid/framework/details/multi_devices_graph_builder.cc
...le/fluid/framework/details/multi_devices_graph_builder.cc
+48
-7
paddle/fluid/framework/ir/CMakeLists.txt
paddle/fluid/framework/ir/CMakeLists.txt
+1
-1
paddle/fluid/framework/ir/graph.cc
paddle/fluid/framework/ir/graph.cc
+100
-36
paddle/fluid/framework/ir/graph.h
paddle/fluid/framework/ir/graph.h
+0
-3
paddle/fluid/framework/ir/graph_helper.cc
paddle/fluid/framework/ir/graph_helper.cc
+116
-0
paddle/fluid/framework/ir/graph_helper.h
paddle/fluid/framework/ir/graph_helper.h
+35
-0
paddle/fluid/framework/ir/node.cc
paddle/fluid/framework/ir/node.cc
+5
-1
paddle/fluid/framework/ir/node.h
paddle/fluid/framework/ir/node.h
+2
-0
未找到文件。
paddle/fluid/framework/details/CMakeLists.txt
浏览文件 @
0b3465d2
...
...
@@ -5,7 +5,7 @@ cc_library(fetch_op_handle SRCS fetch_op_handle.cc DEPS op_handle_base scope lod
cc_library
(
computation_op_handle SRCS computation_op_handle.cc DEPS framework_proto scope place operator op_registry
)
cc_library
(
rpc_op_handle SRCS rpc_op_handle.cc DEPS framework_proto scope place operator op_registry
)
cc_library
(
ssa_graph_builder SRCS ssa_graph_builder.cc DEPS graph
)
cc_library
(
ssa_graph_builder SRCS ssa_graph_builder.cc DEPS graph
graph_helper
)
cc_library
(
ssa_graph_printer SRCS ssa_graph_printer.cc DEPS ssa_graph_builder
)
cc_library
(
ssa_graph_checker SRCS ssa_graph_checker.cc DEPS ssa_graph_builder
)
...
...
paddle/fluid/framework/details/multi_devices_graph_builder.cc
浏览文件 @
0b3465d2
...
...
@@ -25,6 +25,7 @@
#include "paddle/fluid/framework/details/reduce_op_handle.h"
#include "paddle/fluid/framework/details/rpc_op_handle.h"
#include "paddle/fluid/framework/details/scale_loss_grad_op_handle.h"
#include "paddle/fluid/framework/ir/graph_helper.h"
#include "paddle/fluid/framework/ir/node.h"
#include "paddle/fluid/framework/op_info.h"
#include "paddle/fluid/framework/scope.h"
...
...
@@ -186,9 +187,55 @@ size_t MultiDevSSAGraphBuilder::GetAppropriateDeviceID(
return
dev_id
;
}
// Topology sort the graph nodes from inputs to outputs.
// Since SSAGraphBuilder depends on forward/backward nodes to assign devices
// to parameter/gradients before optimizer ops, topo sort is insufficient. (
// some optimizer ops might not depend on any nodes), we manually move all
// optimizer nodes after last backward nodes.
std
::
vector
<
ir
::
Node
*>
SortOpsAndDelayOptimizeOp
(
const
Graph
&
graph
)
{
std
::
vector
<
ir
::
Node
*>
ret
=
ir
::
TopologySort
(
graph
);
size_t
last_backward
=
0
;
std
::
vector
<
ir
::
Node
*>
optimize_ops
;
std
::
vector
<
ir
::
Node
*>
sorted_ret
;
for
(
size_t
i
=
0
;
i
<
ret
.
size
();
++
i
)
{
if
(
boost
::
get
<
int
>
(
ret
[
i
]
->
Op
()
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kBackward
))
{
sorted_ret
.
push_back
(
ret
[
i
]);
last_backward
=
sorted_ret
.
size
();
}
else
if
(
boost
::
get
<
int
>
(
ret
[
i
]
->
Op
()
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kOptimize
))
{
optimize_ops
.
push_back
(
ret
[
i
]);
}
else
{
sorted_ret
.
push_back
(
ret
[
i
]);
}
}
sorted_ret
.
insert
(
sorted_ret
.
begin
()
+
last_backward
,
optimize_ops
.
begin
(),
optimize_ops
.
end
());
for
(
ir
::
Node
*
n
:
sorted_ret
)
{
n
->
inputs
.
erase
(
std
::
remove_if
(
n
->
inputs
.
begin
(),
n
->
inputs
.
end
(),
[
n
](
ir
::
Node
*
t
)
{
return
t
->
Name
()
==
ir
::
Node
::
kControlDepVarName
;
}),
n
->
inputs
.
end
());
n
->
outputs
.
erase
(
std
::
remove_if
(
n
->
outputs
.
begin
(),
n
->
outputs
.
end
(),
[
n
](
ir
::
Node
*
t
)
{
return
t
->
Name
()
==
ir
::
Node
::
kControlDepVarName
;
}),
n
->
outputs
.
end
());
}
return
sorted_ret
;
}
std
::
unique_ptr
<
Graph
>
MultiDevSSAGraphBuilder
::
Apply
(
std
::
unique_ptr
<
Graph
>
graph
)
const
{
// Rebuild the graph structure.
std
::
vector
<
ir
::
Node
*>
sorted_ops
=
SortOpsAndDelayOptimizeOp
(
*
graph
);
auto
nodes
=
std
::
move
(
graph
->
nodes
);
graph
->
nodes
.
clear
();
...
...
@@ -217,12 +264,7 @@ std::unique_ptr<Graph> MultiDevSSAGraphBuilder::Apply(
size_t
cur_device_id
=
0
;
bool
is_forwarding
=
true
;
// NOTE: Currently, passes before SSAGraphBuilder cannot reorder
// forward, backward nodes. E.g. you can't append an forward node
// at the end of the node list.
// TODO(panyx0718): FIXME: Needs to sort by forward->backward order.
for
(
ir
::
Node
*
node
:
TopologySortOperationFromInToOut
(
nodes
))
{
VLOG
(
3
)
<<
"apply node: "
<<
node
->
Name
()
<<
reinterpret_cast
<
void
*>
(
node
);
for
(
ir
::
Node
*
node
:
sorted_ops
)
{
if
(
boost
::
get
<
int
>
(
node
->
Op
()
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kRPC
))
{
...
...
@@ -240,7 +282,6 @@ std::unique_ptr<Graph> MultiDevSSAGraphBuilder::Apply(
// It also assumes backward op will always follow the forward op in
// the block.
is_forwarding
=
false
;
LOG
(
ERROR
)
<<
"forward flipping!!!!!!!"
;
}
else
{
int
op_dev_id
=
GetOpDeviceID
(
node
);
if
(
op_dev_id
!=
-
1
)
{
// This op only runs on one specific device.
...
...
paddle/fluid/framework/ir/CMakeLists.txt
浏览文件 @
0b3465d2
cc_library
(
node SRCS node.cc DEPS proto_desc
)
cc_library
(
graph SRCS graph.cc DEPS node
)
cc_library
(
graph_helper SRCS graph_helper.cc DEPS graph
)
cc_library
(
pass SRCS pass.cc DEPS graph node
)
cc_test
(
graph_test SRCS graph_test.cc DEPS graph proto_desc op_registry
)
paddle/fluid/framework/ir/graph.cc
浏览文件 @
0b3465d2
...
...
@@ -22,6 +22,7 @@ limitations under the License. */
namespace
paddle
{
namespace
framework
{
/*
namespace {
void SortHelper(
const std::map<ir::Node *, std::unordered_set<ir::Node *>> &adj_list,
...
...
@@ -39,7 +40,21 @@ void SortHelper(
<< reinterpret_cast<void *>(node) << " input " << node->inputs.size();
ret->push_back(node);
}
std::vector<ir::Node*> TopologySort(
const std::map<ir::Node *, std::unordered_set<ir::Node *>> &adj_list) {
std::unordered_set<ir::Node *> visited;
std::vector<ir::Node *> ret;
for (auto adj : adj_list) {
if (visited.find(adj.first) == visited.end()) {
SortHelper(adj_list, adj.first, &visited, &ret);
}
}
return ret;
}
} // namespace
*/
Graph
::
Graph
(
const
ProgramDesc
&
program
)
:
program_
(
program
)
{
VLOG
(
3
)
<<
"block in program:"
<<
program_
.
Size
();
...
...
@@ -48,20 +63,9 @@ Graph::Graph(const ProgramDesc &program) : program_(program) {
all_vars
.
emplace
(
var
->
Name
(),
var
);
}
ir
::
Node
*
last_backward
=
nullptr
;
std
::
vector
<
ir
::
Node
*>
optimize_ops
;
std
::
map
<
std
::
string
,
std
::
vector
<
ir
::
Node
*>>
var_nodes
;
for
(
auto
*
op
:
program
.
Block
(
0
).
AllOps
())
{
ir
::
Node
*
node
=
CreateOpNode
(
op
);
if
(
boost
::
get
<
int
>
(
op
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kBackward
))
{
last_backward
=
node
;
}
else
if
(
boost
::
get
<
int
>
(
op
->
GetAttr
(
OpProtoAndCheckerMaker
::
OpRoleAttrName
()))
==
static_cast
<
int
>
(
OpRole
::
kOptimize
))
{
optimize_ops
.
push_back
(
node
);
}
for
(
auto
&
each_var_name
:
op
->
InputArgumentNames
())
{
ir
::
Node
*
var
=
nullptr
;
...
...
@@ -106,7 +110,8 @@ Graph::Graph(const ProgramDesc &program) : program_(program) {
// Read Write is the same op.
continue
;
}
ir
::
Node
*
dep_var
=
CreateEmptyNode
(
"dummy"
,
ir
::
Node
::
Type
::
kVariable
);
ir
::
Node
*
dep_var
=
CreateEmptyNode
(
ir
::
Node
::
kControlDepVarName
,
ir
::
Node
::
Type
::
kVariable
);
read_op
->
outputs
.
push_back
(
dep_var
);
dep_var
->
inputs
.
push_back
(
read_op
);
write_op
->
inputs
.
push_back
(
dep_var
);
...
...
@@ -114,62 +119,121 @@ Graph::Graph(const ProgramDesc &program) : program_(program) {
}
}
}
}
if
(
last_backward
)
{
for
(
ir
::
Node
*
opt_node
:
optimize_ops
)
{
ir
::
Node
*
dep_var
=
CreateEmptyNode
(
"dummy"
,
ir
::
Node
::
Type
::
kVariable
);
last_backward
->
outputs
.
push_back
(
dep_var
);
dep_var
->
inputs
.
push_back
(
last_backward
);
opt_node
->
inputs
.
push_back
(
dep_var
);
dep_var
->
outputs
.
push_back
(
opt_node
);
VLOG
(
3
)
<<
"appending connect: "
<<
last_backward
->
Name
()
<<
reinterpret_cast
<
void
*>
(
last_backward
)
<<
"->"
<<
opt_node
->
Name
()
<<
reinterpret_cast
<
void
*>
(
opt_node
);
/*
bool HasCircleHelper(ir::Node* node,
const std::map<ir::Node *, std::unordered_set<ir::Node *>>
&adj_list,
std::unordered_set<ir::Node*>* visited,
std::unordered_set<ir::Node*>* in_trace) {
if (visited->find(node) == visited->end()) {
visited->insert(node);
in_trace->insert(node);
for (ir::Node *in : adj_list.at(node)) {
if (visited->find(in) == visited->end() &&
HasCircleHelper(in, adj_list, visited, in_trace)) {
return true;
} else if (in_trace->find(in) != in_trace->end()) {
return true;
}
}
}
in_trace->erase(node);
return false;
}
std
::
vector
<
ir
::
Node
*>
TopologySortOperationFromInToOut
(
const
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>
&
nodes
)
{
bool HasCircle(const std::map<ir::Node *, std::unordered_set<ir::Node *>>
&adj_list) {
std::unordered_set<ir::Node*> visited;
std::unordered_set<ir::Node*> in_trace;
for (auto& adj : adj_list) {
if (HasCircleHelper(adj.first, adj_list, &visited, &in_trace)) {
return true;
}
}
return false;
}
std::map<ir::Node *, std::unordered_set<ir::Node *>> BuildAdjList(
const std::vector<ir::Node*> &nodes) {
std::map<ir::Node *, std::unordered_set<ir::Node *>> adj_list;
std
::
unordered_set
<
ir
::
Node
*>
visited
;
std
::
vector
<
ir
::
Node
*>
ret
;
for (auto &n : nodes) {
if (n->NodeType() != ir::Node::Type::kOperation) continue;
if
(
adj_list
.
find
(
n
.
get
()
)
==
adj_list
.
end
())
{
adj_list
[
n
.
get
()
]
=
std
::
unordered_set
<
ir
::
Node
*>
();
if (adj_list.find(n) == adj_list.end()) {
adj_list[n] = std::unordered_set<ir::Node *>();
}
for (auto &var : n->inputs) {
for (auto &adj_n : var->inputs) {
PADDLE_ENFORCE(adj_n->NodeType() == ir::Node::Type::kOperation);
adj_list
[
n
.
get
()
].
insert
(
adj_n
);
adj_list[n].insert(adj_n);
LOG(ERROR) << "adj " << adj_n->Name() << reinterpret_cast<void *>(adj_n)
<<
" -> "
<<
n
->
Name
()
<<
reinterpret_cast
<
void
*>
(
n
.
get
()
)
<< " -> " << n->Name() << reinterpret_cast<void *>(n)
<< " via " << var->Name() << reinterpret_cast<void *>(var);
}
}
}
return adj_list;
}
for
(
auto
adj
:
adj_list
)
{
if
(
visited
.
find
(
adj
.
first
)
==
visited
.
end
())
{
SortHelper
(
adj_list
,
adj
.
first
,
&
visited
,
&
ret
);
std::vector<ir::Node *> TopologySortOperationFromInToOut(
const std::vector<std::unique_ptr<ir::Node>> &nodes) {
std::vector<ir::Node*> tmp;
for (auto& n : nodes) {
tmp.push_back(n.get());
}
std::map<ir::Node *, std::unordered_set<ir::Node *>> adj_list =
BuildAdjList(tmp);
PADDLE_ENFORCE(!HasCircle(adj_list));
std::vector<ir::Node*> ret = TopologySort(adj_list);
ir::Node *last_backward = nullptr;
std::vector<ir::Node *> optimize_ops;
for (ir::Node* n : ret) {
if (boost::get<int>(
n->Op()->GetAttr(OpProtoAndCheckerMaker::OpRoleAttrName())) ==
static_cast<int>(OpRole::kBackward)) {
last_backward = n;
} else if (boost::get<int>(
n->Op()->GetAttr(OpProtoAndCheckerMaker::OpRoleAttrName())) ==
static_cast<int>(OpRole::kOptimize)) {
optimize_ops.push_back(n);
}
}
if (last_backward) {
for (ir::Node *opt_node : optimize_ops) {
ir::Node *dep_var = CreateEmptyNode(ir::Node::kControlDepVarName,
ir::Node::Type::kVariable);
last_backward->outputs.push_back(dep_var);
dep_var->inputs.push_back(last_backward);
opt_node->inputs.push_back(dep_var);
dep_var->outputs.push_back(opt_node);
VLOG(3) << "appending connect: " << last_backward->Name()
<< reinterpret_cast<void *>(last_backward) << "->"
<< opt_node->Name() << reinterpret_cast<void *>(opt_node);
}
}
PADDLE_ENFORCE(!HasCircle(adj_list));
for (ir::Node *n : ret) {
std::unordered_set<ir::Node *> dummy;
n->inputs.erase(
std::remove_if(n->inputs.begin(), n->inputs.end(),
[
n
](
ir
::
Node
*
t
)
{
return
t
->
Name
()
==
"dummy"
;
}),
[n](ir::Node *t) {
return t->Name() == ir::Node::kControlDepVarName; }),
n->inputs.end());
n->outputs.erase(
std::remove_if(n->outputs.begin(), n->outputs.end(),
[
n
](
ir
::
Node
*
t
)
{
return
t
->
Name
()
==
"dummy"
;
}),
[n](ir::Node *t) {
return t->Name() == ir::Node::kControlDepVarName; }),
n->outputs.end());
}
return ret;
}
}
*/
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/ir/graph.h
浏览文件 @
0b3465d2
...
...
@@ -78,8 +78,5 @@ class Graph {
std
::
map
<
std
::
string
,
std
::
function
<
void
(
void
)
>>
attr_dels_
;
};
std
::
vector
<
ir
::
Node
*>
TopologySortOperationFromInToOut
(
const
std
::
vector
<
std
::
unique_ptr
<
ir
::
Node
>>&
nodes
);
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/ir/graph_helper.cc
0 → 100644
浏览文件 @
0b3465d2
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <algorithm>
#include <unordered_set>
#include "paddle/fluid/framework/ir/graph_helper.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
namespace
{
void
SortHelper
(
const
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
&
adj_list
,
ir
::
Node
*
node
,
std
::
unordered_set
<
ir
::
Node
*>
*
visited
,
std
::
vector
<
ir
::
Node
*>
*
ret
)
{
visited
->
insert
(
node
);
for
(
auto
adj
:
adj_list
.
at
(
node
))
{
if
(
visited
->
find
(
adj
)
==
visited
->
end
())
{
SortHelper
(
adj_list
,
adj
,
visited
,
ret
);
}
}
LOG
(
ERROR
)
<<
"topology sort insert: "
<<
node
->
Name
()
<<
reinterpret_cast
<
void
*>
(
node
)
<<
" input "
<<
node
->
inputs
.
size
();
ret
->
push_back
(
node
);
}
bool
HasCircleHelper
(
ir
::
Node
*
node
,
const
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
&
adj_list
,
std
::
unordered_set
<
ir
::
Node
*>
*
visited
,
std
::
unordered_set
<
ir
::
Node
*>
*
in_trace
)
{
if
(
visited
->
find
(
node
)
==
visited
->
end
())
{
visited
->
insert
(
node
);
in_trace
->
insert
(
node
);
for
(
ir
::
Node
*
in
:
adj_list
.
at
(
node
))
{
if
(
visited
->
find
(
in
)
==
visited
->
end
()
&&
HasCircleHelper
(
in
,
adj_list
,
visited
,
in_trace
))
{
return
true
;
}
else
if
(
in_trace
->
find
(
in
)
!=
in_trace
->
end
())
{
return
true
;
}
}
}
in_trace
->
erase
(
node
);
return
false
;
}
}
// namespace
bool
HasCircle
(
const
Graph
&
graph
)
{
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
adj_list
=
BuildAdjList
(
graph
);
std
::
unordered_set
<
ir
::
Node
*>
visited
;
std
::
unordered_set
<
ir
::
Node
*>
in_trace
;
for
(
auto
&
adj
:
adj_list
)
{
if
(
HasCircleHelper
(
adj
.
first
,
adj_list
,
&
visited
,
&
in_trace
))
{
return
true
;
}
}
return
false
;
}
std
::
vector
<
ir
::
Node
*>
TopologySort
(
const
Graph
&
graph
)
{
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
adj_list
=
BuildAdjList
(
graph
);
std
::
unordered_set
<
ir
::
Node
*>
visited
;
std
::
vector
<
ir
::
Node
*>
ret
;
for
(
auto
adj
:
adj_list
)
{
if
(
visited
.
find
(
adj
.
first
)
==
visited
.
end
())
{
SortHelper
(
adj_list
,
adj
.
first
,
&
visited
,
&
ret
);
}
}
return
ret
;
}
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
BuildAdjList
(
const
Graph
&
graph
)
{
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
adj_list
;
for
(
auto
&
n
:
graph
.
nodes
)
{
if
(
n
->
NodeType
()
!=
ir
::
Node
::
Type
::
kOperation
)
continue
;
if
(
adj_list
.
find
(
n
.
get
())
==
adj_list
.
end
())
{
adj_list
[
n
.
get
()]
=
std
::
unordered_set
<
ir
::
Node
*>
();
}
for
(
auto
&
var
:
n
->
inputs
)
{
for
(
auto
&
adj_n
:
var
->
inputs
)
{
PADDLE_ENFORCE
(
adj_n
->
NodeType
()
==
ir
::
Node
::
Type
::
kOperation
);
adj_list
[
n
.
get
()].
insert
(
adj_n
);
LOG
(
ERROR
)
<<
"adj "
<<
adj_n
->
Name
()
<<
reinterpret_cast
<
void
*>
(
adj_n
)
<<
" -> "
<<
n
->
Name
()
<<
reinterpret_cast
<
void
*>
(
n
.
get
())
<<
" via "
<<
var
->
Name
()
<<
reinterpret_cast
<
void
*>
(
var
);
}
}
}
return
adj_list
;
}
}
// namespace ir
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/ir/graph_helper.h
0 → 100644
浏览文件 @
0b3465d2
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <map>
#include <memory>
#include <vector>
#include "paddle/fluid/framework/ir/graph.h"
#include "paddle/fluid/framework/ir/node.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
bool
HasCircle
(
const
Graph
&
graph
);
std
::
vector
<
ir
::
Node
*>
TopologySort
(
const
Graph
&
graph
);
std
::
map
<
ir
::
Node
*
,
std
::
unordered_set
<
ir
::
Node
*>>
BuildAdjList
(
const
Graph
&
graph
);
}
// namespace ir
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/ir/node.cc
浏览文件 @
0b3465d2
...
...
@@ -15,5 +15,9 @@ limitations under the License. */
#include "paddle/fluid/framework/ir/node.h"
namespace
paddle
{
namespace
framework
{}
// namespace framework
namespace
framework
{
namespace
ir
{
const
char
Node
::
kControlDepVarName
[]
=
"__control_var"
;
}
// namespace ir
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/ir/node.h
浏览文件 @
0b3465d2
...
...
@@ -27,6 +27,8 @@ namespace ir {
class
Node
{
public:
enum
class
Type
{
kOperation
,
kVariable
};
static
const
char
kControlDepVarName
[];
explicit
Node
(
const
std
::
string
&
name
,
Type
type
)
:
name_
(
name
),
var_desc_
(
nullptr
),
op_desc_
(
nullptr
),
type_
(
type
)
{}
...
...
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