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5173a53c
编写于
7月 23, 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
fix reorder issue.
上级
21a45420
变更
5
隐藏空白更改
内联
并排
Showing
5 changed file
with
107 addition
and
47 deletion
+107
-47
doc/fluid/design/ir/draft.md
doc/fluid/design/ir/draft.md
+24
-24
paddle/fluid/framework/details/multi_devices_graph_builder.cc
...le/fluid/framework/details/multi_devices_graph_builder.cc
+36
-23
paddle/fluid/framework/details/ssa_graph_builder.cc
paddle/fluid/framework/details/ssa_graph_builder.cc
+40
-0
paddle/fluid/framework/details/ssa_graph_builder.h
paddle/fluid/framework/details/ssa_graph_builder.h
+6
-0
paddle/fluid/framework/ir/graph.cc
paddle/fluid/framework/ir/graph.cc
+1
-0
未找到文件。
doc/fluid/design/ir/draft.md
浏览文件 @
5173a53c
## Motivation
There is a
`
``gap```
between the
```Program``
`
defined by
user and the
`
``Executable``
`
that can be scheduled
There is a
`
gap`
between the
`Program
`
defined by
user and the
`
Executable
`
that can be scheduled
efficiently on heterogeneous hardware, either locally
or distributedly.
Usually, the
`
``gap``
`
is bridged by
Usually, the
`
gap
`
is bridged by
*
A serious transformations with defined order.
*
These transformations usually involve
`
``
insert, delete, clustering, split, dependency analysis``
`.
`
insert, delete, clustering, split, dependency analysis
`
.
*
Has a simple way to verify and debug each transformation.
...
...
@@ -38,44 +38,44 @@ design below.
#### Node
`
``
Node
``
` represents an operation that performs some computation or
`
Node
`
represents an operation that performs some computation or
a variable that is input or output of operation.
`
``
Node
```s are connected to other ```
Node
``
`s via inputs and outputs.
`
Node`
s are connected to other
`Node
`
s via inputs and outputs.
Other properties (maybe device placement information) can be added
to `
``
Node
``
` in the future if it's a
common requirement of many other `
``
Pass
``
`es. Otherwise, it should live
in a `
``
Node
``` wrapper class that is private to some ```
Pass
``
` or be
a local member of a `
``
Pass
``
`.
to
`
Node
`
in the future if it's a
common requirement of many other
`
Pass
`
es. Otherwise, it should live
in a
`
Node`
wrapper class that is private to some
`Pass
`
or be
a local member of a
`
Pass
`
.
#### Graph
`
``
Graph
``` contains a list of ```
Node
``
`s, which are connected to
`
Graph`
contains a list of
`Node
`
s, which are connected to
each other via inputs and outputs.
TODO: Better definitions for the graph.
`
``
Graph
``` can also contain ```
Attribute
```s. ```
Attribute
``
`s
can be `
`any`
` thing. For example, it can be a list of "wraper"
nodes. The `
``
wrapper
``` nodes compose ```
Node
``
`s and provide
helper method for execution or transformation. `
``
Attribute
``
`
`
Graph`
can also contain
`Attribute`
s.
`Attribute
`
s
can be
`
any
`
thing. For example, it can be a list of "wraper"
nodes. The
`
wrapper`
nodes compose
`Node
`
s and provide
helper method for execution or transformation.
`
Attribute
`
can also contain other things that describe some properties of
the `
``
Graph
``` or ```
Graph
``` nodes. ```
Attribute
``
` can be passed
across `
``
Pass
``
`. However, it should be used with care.
the
`
Graph`
or
`Graph`
nodes.
`Attribute
`
can be passed
across
`
Pass
`
. However, it should be used with care.
#### Pass
`
``
Pass
``` represents a transformation of ```
Graph
``
`. Its input
is a `
``
Graph
``` and its output is also a ```
Graph
``
`. For example,
a `
``
Pass
``` can simply print out the ```
Graph
```. A ```
Pass
``
`
can also fuse some `
``
Graph
```'s ```
Node
``
`s.
`
Pass`
represents a transformation of
`Graph
`
. Its input
is a
`
Graph`
and its output is also a
`Graph
`
. For example,
a
`
Pass`
can simply print out the
`Graph`
. A
`Pass
`
can also fuse some
`
Graph`
's
`Node
`
s.
#### Optimize
`
``
Optimize
``` contains a series of ```
Pass
``
` with defined order.
`
``
Optimize
``` transforms a ```
Graph
``
` that only contains raw
modeling logic to a `
``
Graph
``
`
that can be run efficiently while
`
Optimize`
contains a series of
`Pass
`
with defined order.
`
Optimize`
transforms a
`Graph
`
that only contains raw
modeling logic to a
`
Graph
`
that can be run efficiently while
maintaining the original modeling logic.
...
...
paddle/fluid/framework/details/multi_devices_graph_builder.cc
浏览文件 @
5173a53c
...
...
@@ -196,38 +196,46 @@ size_t MultiDevSSAGraphBuilder::GetAppropriateDeviceID(
std
::
vector
<
ir
::
Node
*>
SortOpsAndDelayOptimizeOp
(
const
ir
::
Graph
&
graph
)
{
std
::
vector
<
ir
::
Node
*>
ret
=
ir
::
TopologySortOperations
(
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
]);
last_backward
=
i
;
}
}
// Verify that no operations before optimize ops depends on optimize ops.
std
::
unordered_set
<
ir
::
Node
*>
optimize_set
(
optimize_ops
.
begin
(),
optimize_ops
.
end
());
for
(
size_t
i
=
0
;
i
<
last_backward
;
++
i
)
{
for
(
ir
::
Node
*
in
:
sorted_ret
[
i
]
->
inputs
)
{
for
(
ir
::
Node
*
pre_n
:
in
->
inputs
)
{
PADDLE_ENFORCE
(
optimize_set
.
find
(
pre_n
)
==
optimize_set
.
end
(),
"optimize operations cannot be depended by forward "
"or backward node %s -> %s"
,
pre_n
->
Name
(),
sorted_ret
[
i
]
->
Name
());
std
::
vector
<
ir
::
Node
*>
optimize_ops
;
std
::
vector
<
ir
::
Node
*>
sorted_ret
;
for
(
size_t
i
=
0
;
i
<
ret
.
size
();
++
i
)
{
if
(
i
<
last_backward
)
{
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
]);
}
}
else
if
(
i
==
last_backward
)
{
sorted_ret
.
push_back
(
ret
[
i
]);
// Verify that no operations before optimize ops depends on optimize ops.
std
::
unordered_set
<
ir
::
Node
*>
optimize_set
(
optimize_ops
.
begin
(),
optimize_ops
.
end
());
for
(
ir
::
Node
*
n
:
sorted_ret
)
{
for
(
ir
::
Node
*
in
:
n
->
inputs
)
{
for
(
ir
::
Node
*
pre_n
:
in
->
inputs
)
{
PADDLE_ENFORCE
(
optimize_set
.
find
(
pre_n
)
==
optimize_set
.
end
(),
"optimize operations cannot be depended by forward "
"or backward node %s -> %s"
,
pre_n
->
Name
(),
n
->
Name
());
}
}
}
sorted_ret
.
insert
(
sorted_ret
.
end
(),
optimize_ops
.
begin
(),
optimize_ops
.
end
());
}
else
{
sorted_ret
.
push_back
(
ret
[
i
]);
}
}
sorted_ret
.
insert
(
sorted_ret
.
begin
()
+
last_backward
,
optimize_ops
.
begin
(),
optimize_ops
.
end
());
return
sorted_ret
;
}
...
...
@@ -239,7 +247,7 @@ std::unique_ptr<ir::Graph> MultiDevSSAGraphBuilder::Apply(
ir
::
Graph
&
result
=
*
graph
;
for
(
auto
&
node
:
nodes
)
{
if
(
node
->
NodeType
()
==
ir
::
Node
::
Type
::
kVariable
)
{
if
(
node
->
NodeType
()
==
ir
::
Node
::
Type
::
kVariable
&&
node
->
Var
()
)
{
all_vars_
.
emplace
(
node
->
Name
(),
node
->
Var
());
}
}
...
...
@@ -361,6 +369,11 @@ std::unique_ptr<ir::Graph> MultiDevSSAGraphBuilder::Apply(
}
}
}
/*
Dependency graph has been constructed. However, there are still data
hazards need to be handled.
*/
PolishGraphToSupportDataHazards
(
&
result
);
/*
* Only variables should be the leaves of graph.
...
...
paddle/fluid/framework/details/ssa_graph_builder.cc
浏览文件 @
5173a53c
...
...
@@ -17,6 +17,46 @@
namespace
paddle
{
namespace
framework
{
namespace
details
{
void
SSAGraphBuilder
::
PolishGraphToSupportDataHazards
(
ir
::
Graph
*
graph
)
{
for
(
auto
&
var_map
:
graph
->
Get
<
GraphVars
>
(
"vars"
))
{
for
(
auto
&
name_pair
:
var_map
)
{
if
(
name_pair
.
second
.
size
()
<=
1
)
{
continue
;
}
auto
it_new
=
name_pair
.
second
.
rbegin
();
auto
it_old
=
name_pair
.
second
.
rbegin
();
++
it_old
;
for
(;
it_old
!=
name_pair
.
second
.
rend
();
it_new
=
it_old
,
++
it_old
)
{
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;
if
(
read_op
==
write_op
)
{
// Read Write is the same op.
continue
;
}
bool
has_dep
=
false
;
for
(
auto
*
r_out
:
read_op
->
Outputs
())
{
for
(
auto
*
w_in
:
write_op
->
Inputs
())
{
if
(
r_out
->
Node
()
==
w_in
->
Node
())
{
has_dep
=
true
;
break
;
}
}
}
if
(
has_dep
)
continue
;
auto
*
dep_var
=
new
DummyVarHandle
(
graph
->
CreateControlDepVar
());
read_op
->
AddOutput
(
dep_var
);
write_op
->
AddInput
(
dep_var
);
graph
->
Get
<
GraphDepVars
>
(
"dep_vars"
).
emplace
(
dep_var
);
}
}
}
}
}
VarHandle
*
SSAGraphBuilder
::
CreateOrGetLatestVarHandle
(
ir
::
Graph
*
graph
,
ir
::
Node
*
node
,
const
platform
::
Place
&
place
,
size_t
place_offset
)
{
...
...
paddle/fluid/framework/details/ssa_graph_builder.h
浏览文件 @
5173a53c
...
...
@@ -57,6 +57,12 @@ class SSAGraphBuilder : public ir::Pass {
DISABLE_COPY_AND_ASSIGN
(
SSAGraphBuilder
);
protected:
/*
Dependency graph has been constructed. However, there are still data
hazards need to be handled.
*/
static
void
PolishGraphToSupportDataHazards
(
ir
::
Graph
*
graph
);
static
VarHandle
*
CreateOrGetLatestVarHandle
(
ir
::
Graph
*
graph
,
ir
::
Node
*
node
,
const
platform
::
Place
&
place
,
size_t
place_offset
);
...
...
paddle/fluid/framework/ir/graph.cc
浏览文件 @
5173a53c
...
...
@@ -98,6 +98,7 @@ Graph::Graph(const ProgramDesc &program) : program_(program) {
}
}
if
(
has_dep
)
continue
;
ir
::
Node
*
dep_var
=
CreateControlDepVar
();
read_op
->
outputs
.
push_back
(
dep_var
);
dep_var
->
inputs
.
push_back
(
read_op
);
...
...
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