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df70d5f1
编写于
4月 20, 2018
作者:
K
ktlichkid
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Fixed some bugs
上级
d060b5df
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
29 addition
and
27 deletion
+29
-27
paddle/fluid/operators/beam_search_op.cc
paddle/fluid/operators/beam_search_op.cc
+11
-9
paddle/fluid/operators/beam_search_op.h
paddle/fluid/operators/beam_search_op.h
+18
-18
未找到文件。
paddle/fluid/operators/beam_search_op.cc
浏览文件 @
df70d5f1
...
@@ -223,33 +223,37 @@ class BeamSearchOpMaker
...
@@ -223,33 +223,37 @@ class BeamSearchOpMaker
};
};
class
BeamSearchOp
:
public
framework
::
OperatorWithKernel
{
class
BeamSearchOp
:
public
framework
::
OperatorWithKernel
{
/*
public:
public:
BeamSearchOp(const std::string& type,
BeamSearchOp(const std::string& type,
const framework::VariableNameMap& inputs,
const framework::VariableNameMap& inputs,
const framework::VariableNameMap& outputs,
const framework::VariableNameMap& outputs,
const framework::AttributeMap& attrs)
const framework::AttributeMap& attrs)
:
Operator
Base
(
type
,
inputs
,
outputs
,
attrs
)
{}
: Operator
WithKernel
(type, inputs, outputs, attrs) {}
BeamSearchOp(const BeamSearchOp& o)
BeamSearchOp(const BeamSearchOp& o)
:
framework
::
Operator
Base
(
: framework::Operator
WithKernel
(
static_cast<const framework::OperatorBase&>(o)) {
static_cast<const framework::OperatorBase&>(o)) {
PADDLE_THROW("Not Implemented");
PADDLE_THROW("Not Implemented");
}
}
*/
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
protected:
protected:
void
InferShape
(
const
framework
::
InferShapeContext
&
ctx
)
const
override
{
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
for
(
const
std
::
string
&
arg
:
for
(
const
std
::
string
&
arg
:
std
::
vector
<
std
::
string
>
({
"pre_ids"
,
"ids"
,
"scores"
}))
{
std
::
vector
<
std
::
string
>
({
"pre_ids"
,
"ids"
,
"scores"
}))
{
PADDLE_ENFORCE
(
c
ontext
->
HasInput
(
arg
),
PADDLE_ENFORCE
(
c
tx
->
HasInput
(
arg
),
"BeamSearch need input argument '%s'"
,
arg
);
"BeamSearch need input argument '%s'"
,
arg
);
}
}
for
(
const
std
::
string
&
arg
:
for
(
const
std
::
string
&
arg
:
std
::
vector
<
std
::
string
>
({
"selected_ids"
,
"selected_scores"
}))
{
std
::
vector
<
std
::
string
>
({
"selected_ids"
,
"selected_scores"
}))
{
PADDLE_ENFORCE
(
c
ontext
->
HasOutput
(
arg
),
PADDLE_ENFORCE
(
c
tx
->
HasOutput
(
arg
),
"BeamSearch need output argument '%s'"
,
arg
);
"BeamSearch need output argument '%s'"
,
arg
);
}
}
}
}
/*
private:
private:
void RunImpl(const framework::Scope& scope,
void RunImpl(const framework::Scope& scope,
const platform::Place& dev_place) const override {
const platform::Place& dev_place) const override {
...
@@ -278,9 +282,7 @@ class BeamSearchOp : public framework::OperatorWithKernel {
...
@@ -278,9 +282,7 @@ class BeamSearchOp : public framework::OperatorWithKernel {
*selected_scores_var->GetMutable<framework::LoDTensor>();
*selected_scores_var->GetMutable<framework::LoDTensor>();
alg(pre_ids, &selected_ids_tensor, &selected_scores_tensor);
alg(pre_ids, &selected_ids_tensor, &selected_scores_tensor);
}
}
*/
public:
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
};
};
...
...
paddle/fluid/operators/beam_search_op.h
浏览文件 @
df70d5f1
...
@@ -196,33 +196,33 @@ template <typename DeviceContext, typename T>
...
@@ -196,33 +196,33 @@ template <typename DeviceContext, typename T>
class
BeamSearchOpKernel
:
public
framework
::
OpKernel
<
T
>
{
class
BeamSearchOpKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
ids_var
=
context
.
Input
<
framework
::
Tensor
>
(
"ids"
);
auto
ids_var
=
context
.
Input
<
framework
::
LoD
Tensor
>
(
"ids"
);
auto
*
scores_var
=
context
.
Input
<
framework
::
Tensor
>
(
"scores"
);
auto
scores_var
=
context
.
Input
<
framework
::
LoD
Tensor
>
(
"scores"
);
auto
*
pre_ids_var
=
context
.
Input
<
framework
::
Tensor
>
(
"pre_ids"
);
auto
pre_ids_var
=
context
.
Input
<
framework
::
LoD
Tensor
>
(
"pre_ids"
);
PADDLE_ENFORCE_NOT_NULL
(
ids_var
);
PADDLE_ENFORCE_NOT_NULL
(
ids_var
);
PADDLE_ENFORCE_NOT_NULL
(
scores_var
);
PADDLE_ENFORCE_NOT_NULL
(
scores_var
);
PADDLE_ENFORCE_NOT_NULL
(
pre_ids_var
);
PADDLE_ENFORCE_NOT_NULL
(
pre_ids_var
);
auto
&
ids
=
ids_var
->
Get
<
framework
::
LoDTensor
>
();
//
auto& ids = ids_var->Get<framework::LoDTensor>();
auto
&
scores
=
scores_var
->
Get
<
framework
::
LoDTensor
>
();
//
auto& scores = scores_var->Get<framework::LoDTensor>();
auto
&
pre_ids
=
pre_ids_var
->
Get
<
framework
::
LoDTensor
>
();
//
auto& pre_ids = pre_ids_var->Get<framework::LoDTensor>();
size_t
level
=
Attr
<
int
>
(
"level"
);
size_t
level
=
context
.
Attr
<
int
>
(
"level"
);
size_t
beam_size
=
Attr
<
int
>
(
"beam_size"
);
size_t
beam_size
=
context
.
Attr
<
int
>
(
"beam_size"
);
int
end_id
=
Attr
<
int
>
(
"end_id"
);
int
end_id
=
context
.
Attr
<
int
>
(
"end_id"
);
BeamSearch
alg
(
ids
,
scores
,
level
,
beam_size
,
end_id
);
BeamSearch
alg
(
*
ids_var
,
*
scores_var
,
level
,
beam_size
,
end_id
);
auto
*
selected_ids_var
=
context
.
Output
<
framework
::
Tensor
>
(
"selected_ids"
);
auto
selected_ids_var
=
context
.
Output
<
framework
::
LoD
Tensor
>
(
"selected_ids"
);
auto
*
selected_scores_var
=
context
.
Output
<
framework
::
Tensor
>
(
"selected_scores"
);
auto
selected_scores_var
=
context
.
Output
<
framework
::
LoD
Tensor
>
(
"selected_scores"
);
PADDLE_ENFORCE_NOT_NULL
(
selected_ids_var
);
PADDLE_ENFORCE_NOT_NULL
(
selected_ids_var
);
PADDLE_ENFORCE_NOT_NULL
(
selected_scores_var
);
PADDLE_ENFORCE_NOT_NULL
(
selected_scores_var
);
auto
&
selected_ids_tensor
=
//
auto& selected_ids_tensor =
*
selected_ids_var
->
GetMutable
<
framework
::
LoDTensor
>
();
//
*selected_ids_var->GetMutable<framework::LoDTensor>();
auto
&
selected_scores_tensor
=
//
auto& selected_scores_tensor =
*
selected_scores_var
->
GetMutable
<
framework
::
LoDTensor
>
();
//
*selected_scores_var->GetMutable<framework::LoDTensor>();
alg
(
pre_ids
,
&
selected_ids_tensor
,
&
selected_scores_tenso
r
);
alg
(
*
pre_ids_var
,
selected_ids_var
,
selected_scores_va
r
);
}
}
}
}
;
/*
/*
void RunImpl(const framework::Scope& scope,
void RunImpl(const framework::Scope& scope,
...
...
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