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00548a16
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00548a16
编写于
6年前
作者:
W
wanghaoshuang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Remove intermediate output's gradient from inputs of grad_op.
上级
387e10c6
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
35 addition
and
3 deletion
+35
-3
paddle/fluid/operators/gru_unit_op.cc
paddle/fluid/operators/gru_unit_op.cc
+35
-3
未找到文件。
paddle/fluid/operators/gru_unit_op.cc
浏览文件 @
00548a16
...
@@ -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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