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709a9edd
编写于
4月 27, 2018
作者:
K
ktlichkid
浏览文件
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电子邮件补丁
差异文件
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2
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Showing
2 changed file
with
0 addition
and
61 deletion
+0
-61
paddle/fluid/operators/beam_search_op.cc
paddle/fluid/operators/beam_search_op.cc
+0
-5
paddle/fluid/operators/beam_search_op.h
paddle/fluid/operators/beam_search_op.h
+0
-56
未找到文件。
paddle/fluid/operators/beam_search_op.cc
浏览文件 @
709a9edd
...
...
@@ -21,8 +21,6 @@ limitations under the License. */
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
#include <iostream>
namespace
paddle
{
namespace
operators
{
...
...
@@ -239,17 +237,14 @@ class BeamSearchOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
arg
),
"BeamSearch need output argument '%s'"
,
arg
);
}
std
::
cout
<<
"Done Infer Shape
\n
"
;
}
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
std
::
cout
<<
"Get Expected type 1
\n
"
;
framework
::
OpKernelType
kt
=
framework
::
OpKernelType
(
framework
::
ToDataType
(
ctx
.
Input
<
framework
::
LoDTensor
>
(
"pre_ids"
)
->
type
()),
platform
::
CPUPlace
());
std
::
cout
<<
"Get Expected type 2
\n
"
;
return
kt
;
}
};
...
...
paddle/fluid/operators/beam_search_op.h
浏览文件 @
709a9edd
...
...
@@ -23,8 +23,6 @@ limitations under the License. */
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/operator.h"
#include <iostream>
namespace
paddle
{
namespace
operators
{
...
...
@@ -198,79 +196,25 @@ template <typename DeviceContext, typename T>
class
BeamSearchOpKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
std
::
cout
<<
"Compute 1
\n
"
;
auto
ids_var
=
context
.
Input
<
framework
::
LoDTensor
>
(
"ids"
);
std
::
cout
<<
"Compute 2
\n
"
;
auto
scores_var
=
context
.
Input
<
framework
::
LoDTensor
>
(
"scores"
);
std
::
cout
<<
"Compute 3
\n
"
;
auto
pre_ids_var
=
context
.
Input
<
framework
::
LoDTensor
>
(
"pre_ids"
);
std
::
cout
<<
"Compute 4
\n
"
;
PADDLE_ENFORCE_NOT_NULL
(
ids_var
);
std
::
cout
<<
"Compute 5
\n
"
;
PADDLE_ENFORCE_NOT_NULL
(
scores_var
);
std
::
cout
<<
"Compute 6
\n
"
;
PADDLE_ENFORCE_NOT_NULL
(
pre_ids_var
);
std
::
cout
<<
"Compute 7
\n
"
;
// auto& ids = ids_var->Get<framework::LoDTensor>();
// auto& scores = scores_var->Get<framework::LoDTensor>();
// auto& pre_ids = pre_ids_var->Get<framework::LoDTensor>();
size_t
level
=
context
.
Attr
<
int
>
(
"level"
);
std
::
cout
<<
"Compute 8
\n
"
;
size_t
beam_size
=
context
.
Attr
<
int
>
(
"beam_size"
);
std
::
cout
<<
"Compute 9
\n
"
;
int
end_id
=
context
.
Attr
<
int
>
(
"end_id"
);
std
::
cout
<<
"Compute 10
\n
"
;
BeamSearch
alg
(
*
ids_var
,
*
scores_var
,
level
,
beam_size
,
end_id
);
std
::
cout
<<
"Compute 11
\n
"
;
auto
selected_ids_var
=
context
.
Output
<
framework
::
LoDTensor
>
(
"selected_ids"
);
std
::
cout
<<
"Compute 12
\n
"
;
auto
selected_scores_var
=
context
.
Output
<
framework
::
LoDTensor
>
(
"selected_scores"
);
std
::
cout
<<
"Compute 13
\n
"
;
PADDLE_ENFORCE_NOT_NULL
(
selected_ids_var
);
std
::
cout
<<
"Compute 14
\n
"
;
PADDLE_ENFORCE_NOT_NULL
(
selected_scores_var
);
std
::
cout
<<
"Compute 15
\n
"
;
// auto& selected_ids_tensor =
// *selected_ids_var->GetMutable<framework::LoDTensor>();
// auto& selected_scores_tensor =
// *selected_scores_var->GetMutable<framework::LoDTensor>();
alg
(
*
pre_ids_var
,
selected_ids_var
,
selected_scores_var
);
std
::
cout
<<
"Compute 16
\n
"
;
}
};
/*
void RunImpl(const framework::Scope& scope,
const platform::Place& dev_place) const override {
auto ids_var = scope.FindVar(Input("ids"));
auto scores_var = scope.FindVar(Input("scores"));
auto pre_ids_var = scope.FindVar(Input("pre_ids"));
PADDLE_ENFORCE_NOT_NULL(ids_var);
PADDLE_ENFORCE_NOT_NULL(scores_var);
PADDLE_ENFORCE_NOT_NULL(pre_ids_var);
auto& ids = ids_var->Get<framework::LoDTensor>();
auto& scores = scores_var->Get<framework::LoDTensor>();
auto& pre_ids = pre_ids_var->Get<framework::LoDTensor>();
size_t level = Attr<int>("level");
size_t beam_size = Attr<int>("beam_size");
int end_id = Attr<int>("end_id");
BeamSearch alg(ids, scores, level, beam_size, end_id);
auto selected_ids_var = scope.FindVar(Output("selected_ids"));
auto selected_scores_var = scope.FindVar(Output("selected_scores"));
PADDLE_ENFORCE_NOT_NULL(selected_ids_var);
PADDLE_ENFORCE_NOT_NULL(selected_scores_var);
auto& selected_ids_tensor =
*selected_ids_var->GetMutable<framework::LoDTensor>();
auto& selected_scores_tensor =
*selected_scores_var->GetMutable<framework::LoDTensor>();
alg(pre_ids, &selected_ids_tensor, &selected_scores_tensor);
}
*/
}
// namespace operators
}
// namespace paddle
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