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aa4d51b0
编写于
4月 19, 2018
作者:
W
whs
提交者:
GitHub
4月 19, 2018
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差异文件
Merge pull request #10029 from wanghaoshuang/fix_gru_unit
Remove intermediate output's gradient from inputs of grad_op.
上级
0760a5a5
216443de
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
34 addition
and
2 deletion
+34
-2
paddle/fluid/operators/gru_unit_op.cc
paddle/fluid/operators/gru_unit_op.cc
+34
-2
未找到文件。
paddle/fluid/operators/gru_unit_op.cc
浏览文件 @
aa4d51b0
...
@@ -124,7 +124,7 @@ $$
...
@@ -124,7 +124,7 @@ $$
which is same as one time step of GRU Operator.
which is same as one time step of GRU Operator.
@note To implement the complete GRU unit, fully-connected operator must be
@note To implement the complete GRU unit, fully-connected operator must be
used before to feed xu, xr and xc as the Input of GRUUnit operator.
used before to feed xu, xr and xc as the Input of GRUUnit operator.
)DOC"
);
)DOC"
);
...
@@ -194,13 +194,45 @@ class GRUUnitGradOp : public framework::OperatorWithKernel {
...
@@ -194,13 +194,45 @@ class GRUUnitGradOp : public framework::OperatorWithKernel {
}
}
};
};
class
GRUUnitGradOpMaker
:
public
framework
::
SingleGradOpDescMaker
{
public:
using
framework
::
SingleGradOpDescMaker
::
SingleGradOpDescMaker
;
protected:
std
::
unique_ptr
<
framework
::
OpDesc
>
Apply
()
const
override
{
auto
*
op
=
new
framework
::
OpDesc
();
op
->
SetType
(
"gru_unit_grad"
);
op
->
SetInput
(
"Input"
,
Input
(
"Input"
));
op
->
SetInput
(
"HiddenPrev"
,
Input
(
"HiddenPrev"
));
op
->
SetInput
(
"Weight"
,
Input
(
"Weight"
));
op
->
SetInput
(
"Bias"
,
Input
(
"Bias"
));
op
->
SetInput
(
"Hidden"
,
Output
(
"Hidden"
));
op
->
SetInput
(
"Gate"
,
Output
(
"Gate"
));
op
->
SetInput
(
"ResetHiddenPrev"
,
Output
(
"ResetHiddenPrev"
));
op
->
SetInput
(
framework
::
GradVarName
(
"Hidden"
),
OutputGrad
(
"Hidden"
));
op
->
SetAttrMap
(
Attrs
());
op
->
SetOutput
(
framework
::
GradVarName
(
"Input"
),
InputGrad
(
"Input"
));
op
->
SetOutput
(
framework
::
GradVarName
(
"HiddenPrev"
),
InputGrad
(
"HiddenPrev"
));
op
->
SetOutput
(
framework
::
GradVarName
(
"Weight"
),
InputGrad
(
"Weight"
));
op
->
SetOutput
(
framework
::
GradVarName
(
"Bias"
),
InputGrad
(
"Bias"
));
return
std
::
unique_ptr
<
framework
::
OpDesc
>
(
op
);
}
};
}
// namespace operators
}
// namespace operators
}
// namespace paddle
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
namespace
ops
=
paddle
::
operators
;
REGISTER_OPERATOR
(
gru_unit
,
ops
::
GRUUnitOp
,
ops
::
GRUUnitOpMaker
,
REGISTER_OPERATOR
(
gru_unit
,
ops
::
GRUUnitOp
,
ops
::
GRUUnitOpMaker
,
paddle
::
framework
::
DefaultGradOpDescMaker
<
true
>
);
ops
::
GRUUnitGradOpMaker
);
REGISTER_OPERATOR
(
gru_unit_grad
,
ops
::
GRUUnitGradOp
);
REGISTER_OPERATOR
(
gru_unit_grad
,
ops
::
GRUUnitGradOp
);
REGISTER_OP_CPU_KERNEL
(
REGISTER_OP_CPU_KERNEL
(
gru_unit
,
ops
::
GRUUnitKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
gru_unit
,
ops
::
GRUUnitKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
GRUUnitKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
);
ops
::
GRUUnitKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
);
...
...
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