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7683e358
编写于
9月 03, 2017
作者:
Z
zchen0211
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
cond op
上级
11697a5a
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
187 addition
and
0 deletion
+187
-0
paddle/operators/cond_op.cc
paddle/operators/cond_op.cc
+56
-0
paddle/operators/cond_op.h
paddle/operators/cond_op.h
+131
-0
未找到文件。
paddle/operators/cond_op.cc
0 → 100644
浏览文件 @
7683e358
#include "paddle/operators/switch_op.h"
namespace
paddle
{
namespace
operators
{
void
CondOp
::
InferShape
(
const
std
::
shared_ptr
<
Scope
>&
scope
)
const
{
// Create two Nets
// Create two scopes
for
(
int
i
=
0
;
i
<
2
;
++
i
)
sub_scope
.
push_back
(
scope
.
NewScope
());
for
(
int
i
=
0
;
i
<
2
;
++
i
)
sub_net_op_
[
i
].
InferShape
(
sub_scope
[
i
]);
for
(
int
i
=
0
;
i
<
2
;
++
i
)
tensor_index
=
new
Tensor
();
for
(
int
i
=
0
;
i
<
2
;
++
i
)
_index
.
push_back
(
vector
<
int
>
());
for
(
int
i
=
0
;
i
<
2
;
++
i
)
{
// for (auto& input : net_op_[i]->Inputs()) {
for
(
auto
&
input
:
GetAttr
<
std
::
vector
<
std
::
string
>>
(
"True_inputs"
))
{
auto
var_name
=
input
.
second
;
// Create a new tensor in sub-scope for input-type tensor
sub_scope
[
i
]
->
NewVar
(
var_name
)
->
GetMutable
<
Tensor
>
();
}
}
}
class
CondOpProtoAndCheckerMaker
:
public
OpProtoAndCheckerMaker
{
public:
CondOpProtoAndCheckerMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"Cond"
,
"The condition, which is a bool vector"
);
AddInput
(
"Xs"
,
"Inputs of Subnets"
);
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"sub_inputs"
,
"Inputs of the Whole Op, net op and so forth"
);
AddAttr
<
std
::
vector
<
std
::
string
>>
(
"sub_outputs"
,
"True Outputs needs merge"
);
AddOutput
(
"Outs"
,
"The output of cond op"
);
AddComment
(
R"DOC(
Sample dependent Cond Operator:
The equation is: Out[i] = subnet_t[i], if Cond[i] == true
Out[i] = subnet_t[i], if Cond[i] == false
)DOC"
);
}
};
}
// namespace operators
}
// namespace paddle
REGISTER_OP_WITHOUT_GRADIENT
(
cond_op
,
paddle
::
operators
::
CondOp
,
paddle
::
operators
::
CondOpProtoAndCheckerMaker
);
paddle/operators/cond_op.h
0 → 100644
浏览文件 @
7683e358
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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 "glog/logging.h"
#include "paddle/framework/eigen.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/ddim.h"
#include "paddle/operators/gather.h"
#include <vector>
namespace
paddle
{
namespace
operators
{
using
namespace
paddle
::
framework
;
template
<
typename
Place
,
typename
T
>
class
CondOp
final
:
public
OperatorBase
{
public:
/**
* InferShape must be called before Run.
*/
void
InferShape
(
const
std
::
shared_ptr
<
Scope
>&
scope
)
const
override
;
// Set True Block
void
set_truenet
(
std
::
unique_ptr
<
OperatorBase
>
net
)
{
sub_net_op_
[
0
]
=
std
::
move
(
net
);
}
// Set False Block
void
set_falsenet
(
std
::
unique_ptr
<
OperatorBase
>
net
)
{
sub_net_op_
[
1
]
=
std
::
move
(
net
);
}
virtual
void
Run
(
const
std
::
shared_ptr
<
Scope
>&
scope
,
const
platform
::
DeviceContext
&
dev_ctx
)
const
override
{
auto
*
cond
=
context
.
Input
<
Tensor
>
(
"Cond"
);
// Step 1: get the true/false index at runtime
// _index[0]: vector<int>, contains all index for cond[i] == true
// _index[1]: vector<int>, contains all index for cond[i] == false
for
(
int
i
=
0
;
i
<
2
;
++
i
)
_index
[
i
].
clear
();
for
(
int
i
=
0
;
i
<
cond
->
dims
()[
0
];
++
i
)
{
if
(
cond
->
data
<
bool
>
()[
i
])
_index
[
0
].
push_back
(
i
);
else
_index
[
1
].
push_back
(
i
);
}
// put _index[0] and _index[1] into two tensors
// tensor_index[0] and tensor_index[1]
framework
::
DDim
dim_
=
paddle
::
framework
::
make_ddim
({
0
});
for
(
int
i
=
0
;
i
<
2
;
++
i
)
{
dim_
[
0
]
=
_index
[
i
].
size
();
int
*
tmp_
=
_index
[
i
]
->
mutable_data
<
int
>
(
dim_
,
CPUPlace
());
tensor_index
[
i
]
->
Resize
(
dim_
);
memcpy
(
tmp_
,
index_
[
i
],
dim_
[
0
]
*
sizeof
(
int
));
}
// Step 2: collect data by calling gather
for
(
int
i
=
0
;
i
<
2
;
++
i
)
{
// i= 0/i for True and False branches respectively
for
(
auto
&
input
:
GetAttr
<
std
::
vector
<
std
::
string
>>
(
"sub_inputs"
))
{
auto
var_name
=
input
.
second
;
// find Tensor
Tensor
*
Tensor_parent
=
scope
.
FindVar
(
var_name
)
->
GetMutable
<
Tensor
>
();
Tensor
*
Tensor_child
=
sub_scope_
[
i
].
FindVar
(
var_name
)
->
GetMutable
<
Tensor
>
();
Gather
<
T
>
(
dev_ctx
.
GetPlace
(),
tensor_parent
,
tensor_index
[
i
],
tensor_child
);
}
}
// Step 3: run
for
(
int
i
=
0
;
i
<
2
;
++
i
)
sub_net_op_
[
i
]
->
Run
(
sub_scope_
[
i
],
dev_ctx
);
// Step 4: merge output results
for
(
int
i
=
0
;
i
<
2
;
++
i
)
{
// i= 0/i for True and False branches respectively
for
(
auto
&
output
:
GetAttr
<
std
::
vector
<
std
::
string
>>
(
"sub_outputs"
))
{
auto
var_name
=
output
.
second
;
// find Tensor
Tensor
*
Tensor_parent
=
scope
.
FindVar
(
var_name
)
->
GetMutable
<
Tensor
>
();
Tensor
*
Tensor_child
=
sub_scope_
[
i
].
FindVar
(
var_name
)
->
GetMutable
<
Tensor
>
();
ScatterUpdate
<
T
>
(
dev_ctx
.
GetPlace
(),
tensor_child
,
tensor_index
[
i
],
tensor_parent
);
}
}
}
private:
// sub_scope_[0]: true scope
// sub_scope_[1]: false scope
std
::
vector
<
Scope
*>
sub_scope_
;
// sub_net_op_[0]: subnet_t
// sub_net_op_[1]: subnet_f
std
::
vector
<
std
::
unique_ptr
<
framework
::
OperatorBase
>>
sub_net_op_
;
// tensor_index[0]: True_index tensor
// tensor_index[1]: False_index;
std
::
vector
<
Tensor
*>
tensor_index
;
// _index[0]: True_index;
// _index[1]: False_index;
vector
<
vector
<
int
>
>
_index
;
};
/*
class CondGradientOp final : public OperatorBase {
public:
void Init() override;
virtual void InferShape(const std::shared_ptr<Scope>& scope) const override;
virtual void Run(const std::shared_ptr<Scope>& scope,
const platform::DeviceContext& dev_ctx) const override;
};*/
}
// namespace operators
}
// namespace paddle
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