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体验新版 GitCode,发现更多精彩内容 >>
提交
b3a86b6d
编写于
11月 08, 2017
作者:
W
wwhu
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
fix CI
上级
c8c4b6e4
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
3 addition
and
4 deletion
+3
-4
paddle/operators/clip_by_norm_op.cc
paddle/operators/clip_by_norm_op.cc
+3
-4
未找到文件。
paddle/operators/clip_by_norm_op.cc
浏览文件 @
b3a86b6d
...
@@ -27,7 +27,7 @@ class ClipByNormOp : public framework::OperatorWithKernel {
...
@@ -27,7 +27,7 @@ class ClipByNormOp : public framework::OperatorWithKernel {
"Input(X) of ClipByNormOp should not be null."
);
"Input(X) of ClipByNormOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of ClipByNormOp should not be null."
);
"Output(Out) of ClipByNormOp should not be null."
);
auto
max_norm
=
Attr
<
float
>
(
"max_norm"
);
auto
max_norm
=
ctx
->
Attrs
().
Get
<
float
>
(
"max_norm"
);
PADDLE_ENFORCE_GT
(
max_norm
,
0
,
"max_norm should be greater than 0."
);
PADDLE_ENFORCE_GT
(
max_norm
,
0
,
"max_norm should be greater than 0."
);
auto
x_dims
=
ctx
->
GetInputDim
(
"X"
);
auto
x_dims
=
ctx
->
GetInputDim
(
"X"
);
ctx
->
SetOutputDim
(
"Out"
,
x_dims
);
ctx
->
SetOutputDim
(
"Out"
,
x_dims
);
...
@@ -35,7 +35,6 @@ class ClipByNormOp : public framework::OperatorWithKernel {
...
@@ -35,7 +35,6 @@ class ClipByNormOp : public framework::OperatorWithKernel {
}
}
};
};
template
<
typename
AttrType
>
class
ClipByNormOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
class
ClipByNormOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
public:
ClipByNormOpMaker
(
framework
::
OpProto
*
proto
,
ClipByNormOpMaker
(
framework
::
OpProto
*
proto
,
...
@@ -46,7 +45,7 @@ class ClipByNormOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -46,7 +45,7 @@ class ClipByNormOpMaker : public framework::OpProtoAndCheckerMaker {
"The number of dimensions must be between [1, 9]."
);
"The number of dimensions must be between [1, 9]."
);
AddOutput
(
"Out"
,
AddOutput
(
"Out"
,
"(Tensor) The output of clip_by_norm op with shape as input(X)"
);
"(Tensor) The output of clip_by_norm op with shape as input(X)"
);
AddAttr
<
AttrType
>
(
"max_norm"
,
"(float) The maximum norm value."
);
AddAttr
<
float
>
(
"max_norm"
,
"(float) The maximum norm value."
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
ClipByNorm operator limits the L2 norm of the input 'X' within 'max_norm'.
ClipByNorm operator limits the L2 norm of the input 'X' within 'max_norm'.
If the L2 norm of 'X' is less than or equal to 'max_norm', 'Out' will be
If the L2 norm of 'X' is less than or equal to 'max_norm', 'Out' will be
...
@@ -66,6 +65,6 @@ where norm('X') represents the L2 norm of 'X'.
...
@@ -66,6 +65,6 @@ where norm('X') represents the L2 norm of 'X'.
namespace
ops
=
paddle
::
operators
;
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_WITHOUT_GRADIENT
(
clip_by_norm
,
ops
::
ClipByNormOp
,
REGISTER_OP_WITHOUT_GRADIENT
(
clip_by_norm
,
ops
::
ClipByNormOp
,
ops
::
ClipByNormOpMaker
<
float
>
);
ops
::
ClipByNormOpMaker
);
REGISTER_OP_CPU_KERNEL
(
REGISTER_OP_CPU_KERNEL
(
clip_by_norm
,
ops
::
ClipByNormKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
clip_by_norm
,
ops
::
ClipByNormKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
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