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体验新版 GitCode,发现更多精彩内容 >>
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2b430ada
编写于
11月 28, 2018
作者:
M
minqiyang
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差异文件
Polish code
test=develop
上级
a02ce58f
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1
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1 changed file
with
7 addition
and
7 deletion
+7
-7
paddle/fluid/operators/nce_op.cc
paddle/fluid/operators/nce_op.cc
+7
-7
未找到文件。
paddle/fluid/operators/nce_op.cc
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2b430ada
...
@@ -162,9 +162,9 @@ class NCEOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -162,9 +162,9 @@ class NCEOpMaker : public framework::OpProtoAndCheckerMaker {
"user should avoid setting this attribute."
)
"user should avoid setting this attribute."
)
.
SetDefault
({});
.
SetDefault
({});
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Compute and return the noise-contrastive estimation training loss. See
Compute and return the noise-contrastive estimation training loss. See
`Noise-contrastive estimation: A new estimation principle for unnormalized
`Noise-contrastive estimation: A new estimation principle for unnormalized
statistical models
statistical models
<http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf>`_.
<http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf>`_.
By default this operator uses a uniform distribution for sampling.
By default this operator uses a uniform distribution for sampling.
)DOC"
);
)DOC"
);
...
@@ -230,14 +230,14 @@ class NCEOpGradVarTypeInference : public framework::VarTypeInference {
...
@@ -230,14 +230,14 @@ class NCEOpGradVarTypeInference : public framework::VarTypeInference {
auto
attr
=
op_desc
.
GetAttr
(
"is_sparse"
);
auto
attr
=
op_desc
.
GetAttr
(
"is_sparse"
);
bool
is_sparse
=
boost
::
get
<
bool
>
(
attr
);
bool
is_sparse
=
boost
::
get
<
bool
>
(
attr
);
if
(
is_sparse
)
{
if
(
is_sparse
)
{
VLOG
(
3
0
)
<<
"nce_op_grad op "
<<
weight_grad
<<
" and "
<<
bias_grad
VLOG
(
3
)
<<
"nce_op_grad op "
<<
weight_grad
<<
" and "
<<
bias_grad
<<
" is set to SelectedRows"
;
<<
" is set to SelectedRows"
;
block
->
Var
(
weight_grad
)
block
->
Var
(
weight_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
SELECTED_ROWS
);
->
SetType
(
framework
::
proto
::
VarType
::
SELECTED_ROWS
);
block
->
Var
(
bias_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
SELECTED_ROWS
);
block
->
Var
(
bias_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
SELECTED_ROWS
);
}
else
{
}
else
{
VLOG
(
3
0
)
<<
"nce_op_grad op "
<<
weight_grad
<<
" and "
<<
bias_grad
VLOG
(
3
)
<<
"nce_op_grad op "
<<
weight_grad
<<
" and "
<<
bias_grad
<<
" is set to LoDTensor"
;
<<
" is set to LoDTensor"
;
block
->
Var
(
weight_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
LOD_TENSOR
);
block
->
Var
(
weight_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
LOD_TENSOR
);
block
->
Var
(
bias_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
LOD_TENSOR
);
block
->
Var
(
bias_grad
)
->
SetType
(
framework
::
proto
::
VarType
::
LOD_TENSOR
);
}
}
...
...
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