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体验新版 GitCode,发现更多精彩内容 >>
提交
e0be63bf
编写于
12月 26, 2017
作者:
F
fengjiayi
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
change activations
上级
874cac0c
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
267 addition
and
238 deletion
+267
-238
paddle/operators/activation_op.cc
paddle/operators/activation_op.cc
+59
-59
paddle/operators/activation_op.h
paddle/operators/activation_op.h
+208
-179
未找到文件。
paddle/operators/activation_op.cc
浏览文件 @
e0be63bf
...
@@ -22,8 +22,8 @@ class ActivationOp : public framework::OperatorWithKernel {
...
@@ -22,8 +22,8 @@ class ActivationOp : public framework::OperatorWithKernel {
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
ctx
->
SetOutputDim
(
"
Y
"
,
ctx
->
GetInputDim
(
"X"
));
ctx
->
SetOutputDim
(
"
Out
"
,
ctx
->
GetInputDim
(
"X"
));
ctx
->
ShareLoD
(
"X"
,
/*->*/
"
Y
"
);
ctx
->
ShareLoD
(
"X"
,
/*->*/
"
Out
"
);
}
}
};
};
...
@@ -32,7 +32,7 @@ class ActivationOpGrad : public framework::OperatorWithKernel {
...
@@ -32,7 +32,7 @@ class ActivationOpGrad : public framework::OperatorWithKernel {
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
using
framework
::
OperatorWithKernel
::
OperatorWithKernel
;
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
void
InferShape
(
framework
::
InferShapeContext
*
ctx
)
const
override
{
ctx
->
SetOutputDim
(
framework
::
GradVarName
(
"X"
),
ctx
->
GetInputDim
(
"
Y
"
));
ctx
->
SetOutputDim
(
framework
::
GradVarName
(
"X"
),
ctx
->
GetInputDim
(
"
Out
"
));
}
}
};
};
...
@@ -41,11 +41,11 @@ class SigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -41,11 +41,11 @@ class SigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
SigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Sigmoid operator"
);
AddInput
(
"X"
,
"Input of Sigmoid operator"
);
AddOutput
(
"
Y
"
,
"Output of Sigmoid operator"
);
AddOutput
(
"
Out
"
,
"Output of Sigmoid operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Sigmoid Activation Operator
Sigmoid Activation Operator
$$
y
= \frac{1}{1 + e^{-x}}$$
$$
out
= \frac{1}{1 + e^{-x}}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -56,11 +56,11 @@ class LogSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -56,11 +56,11 @@ class LogSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
LogSigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
LogSigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of LogSigmoid operator"
);
AddInput
(
"X"
,
"Input of LogSigmoid operator"
);
AddOutput
(
"
Y
"
,
"Output of LogSigmoid operator"
);
AddOutput
(
"
Out
"
,
"Output of LogSigmoid operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Logsigmoid Activation Operator
Logsigmoid Activation Operator
$$
y
= \log \frac{1}{1 + e^{-x}}$$
$$
out
= \log \frac{1}{1 + e^{-x}}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -71,11 +71,11 @@ class ExpOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -71,11 +71,11 @@ class ExpOpMaker : public framework::OpProtoAndCheckerMaker {
ExpOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
ExpOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Exp operator"
);
AddInput
(
"X"
,
"Input of Exp operator"
);
AddOutput
(
"
Y
"
,
"Output of Exp operator"
);
AddOutput
(
"
Out
"
,
"Output of Exp operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Exp Activation Operator.
Exp Activation Operator.
$
y
= e^x$
$
out
= e^x$
)DOC"
);
)DOC"
);
}
}
...
@@ -86,11 +86,11 @@ class ReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -86,11 +86,11 @@ class ReluOpMaker : public framework::OpProtoAndCheckerMaker {
ReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
ReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Relu operator"
);
AddInput
(
"X"
,
"Input of Relu operator"
);
AddOutput
(
"
Y
"
,
"Output of Relu operator"
);
AddOutput
(
"
Out
"
,
"Output of Relu operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Relu Activation Operator.
Relu Activation Operator.
$
y
= \max(x, 0)$
$
out
= \max(x, 0)$
)DOC"
);
)DOC"
);
}
}
...
@@ -101,12 +101,12 @@ class LeakyReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -101,12 +101,12 @@ class LeakyReluOpMaker : public framework::OpProtoAndCheckerMaker {
LeakyReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
LeakyReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of LeakyRelu operator"
);
AddInput
(
"X"
,
"Input of LeakyRelu operator"
);
AddOutput
(
"
Y
"
,
"Output of LeakyRelu operator"
);
AddOutput
(
"
Out
"
,
"Output of LeakyRelu operator"
);
AddAttr
<
float
>
(
"alpha"
,
"The small negative slope"
).
SetDefault
(
0.02
f
);
AddAttr
<
float
>
(
"alpha"
,
"The small negative slope"
).
SetDefault
(
0.02
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
LeakyRelu Activation Operator.
LeakyRelu Activation Operator.
$
y
= \max(x, \alpha * x)$
$
out
= \max(x, \alpha * x)$
)DOC"
);
)DOC"
);
}
}
...
@@ -117,13 +117,13 @@ class SoftShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -117,13 +117,13 @@ class SoftShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
SoftShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SoftShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Softshrink operator"
);
AddInput
(
"X"
,
"Input of Softshrink operator"
);
AddOutput
(
"
Y
"
,
"Output of Softshrink operator"
);
AddOutput
(
"
Out
"
,
"Output of Softshrink operator"
);
AddAttr
<
float
>
(
"lambda"
,
"non-negative offset"
).
SetDefault
(
0.5
f
);
AddAttr
<
float
>
(
"lambda"
,
"non-negative offset"
).
SetDefault
(
0.5
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Softshrink Activation Operator.
Softshrink Activation Operator.
$$
$$
y
= \begin{cases}
out
= \begin{cases}
x - \lambda, \text{if } x > \lambda \\
x - \lambda, \text{if } x > \lambda \\
x + \lambda, \text{if } x < -\lambda \\
x + \lambda, \text{if } x < -\lambda \\
0, \text{otherwise}
0, \text{otherwise}
...
@@ -139,11 +139,11 @@ class TanhOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -139,11 +139,11 @@ class TanhOpMaker : public framework::OpProtoAndCheckerMaker {
TanhOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
TanhOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Tanh operator"
);
AddInput
(
"X"
,
"Input of Tanh operator"
);
AddOutput
(
"
Y
"
,
"Output of Tanh operator"
);
AddOutput
(
"
Out
"
,
"Output of Tanh operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Tanh Activation Operator.
Tanh Activation Operator.
$$
y
= \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
$$
out
= \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -154,11 +154,11 @@ class TanhShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -154,11 +154,11 @@ class TanhShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
TanhShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
TanhShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of TanhShrink operator"
);
AddInput
(
"X"
,
"Input of TanhShrink operator"
);
AddOutput
(
"
Y
"
,
"Output of TanhShrink operator"
);
AddOutput
(
"
Out
"
,
"Output of TanhShrink operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
TanhShrink Activation Operator.
TanhShrink Activation Operator.
$$
y
= x - \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
$$
out
= x - \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -169,14 +169,14 @@ class HardShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -169,14 +169,14 @@ class HardShrinkOpMaker : public framework::OpProtoAndCheckerMaker {
HardShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
HardShrinkOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of HardShrink operator"
);
AddInput
(
"X"
,
"Input of HardShrink operator"
);
AddOutput
(
"
Y
"
,
"Output of HardShrink operator"
);
AddOutput
(
"
Out
"
,
"Output of HardShrink operator"
);
AddAttr
<
float
>
(
"threshold"
,
"The value of threshold for HardShrink"
)
AddAttr
<
float
>
(
"threshold"
,
"The value of threshold for HardShrink"
)
.
SetDefault
(
0.5
f
);
.
SetDefault
(
0.5
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
HardShrink Activation Operator.
HardShrink Activation Operator.
$$
$$
y
= \begin{cases}
out
= \begin{cases}
x, \text{if } x > \lambda \\
x, \text{if } x > \lambda \\
x, \text{if } x < -\lambda \\
x, \text{if } x < -\lambda \\
0, \text{otherwise}
0, \text{otherwise}
...
@@ -192,11 +192,11 @@ class SqrtOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -192,11 +192,11 @@ class SqrtOpMaker : public framework::OpProtoAndCheckerMaker {
SqrtOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SqrtOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Sqrt operator"
);
AddInput
(
"X"
,
"Input of Sqrt operator"
);
AddOutput
(
"
Y
"
,
"Output of Sqrt operator"
);
AddOutput
(
"
Out
"
,
"Output of Sqrt operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Sqrt Activation Operator.
Sqrt Activation Operator.
$
y
= \sqrt{x}$
$
out
= \sqrt{x}$
)DOC"
);
)DOC"
);
}
}
...
@@ -207,11 +207,11 @@ class AbsOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -207,11 +207,11 @@ class AbsOpMaker : public framework::OpProtoAndCheckerMaker {
AbsOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
AbsOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Abs operator"
);
AddInput
(
"X"
,
"Input of Abs operator"
);
AddOutput
(
"
Y
"
,
"Output of Abs operator"
);
AddOutput
(
"
Out
"
,
"Output of Abs operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Abs Activation Operator.
Abs Activation Operator.
$
y
= |x|$
$
out
= |x|$
)DOC"
);
)DOC"
);
}
}
...
@@ -222,11 +222,11 @@ class CeilOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -222,11 +222,11 @@ class CeilOpMaker : public framework::OpProtoAndCheckerMaker {
CeilOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
CeilOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Ceil operator"
);
AddInput
(
"X"
,
"Input of Ceil operator"
);
AddOutput
(
"
Y
"
,
"Output of Ceil operator"
);
AddOutput
(
"
Out
"
,
"Output of Ceil operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Ceil Activation Operator.
Ceil Activation Operator.
$
y
= ceil(x)$
$
out
= ceil(x)$
)DOC"
);
)DOC"
);
}
}
...
@@ -237,11 +237,11 @@ class FloorOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -237,11 +237,11 @@ class FloorOpMaker : public framework::OpProtoAndCheckerMaker {
FloorOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
FloorOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Floor operator"
);
AddInput
(
"X"
,
"Input of Floor operator"
);
AddOutput
(
"
Y
"
,
"Output of Floor operator"
);
AddOutput
(
"
Out
"
,
"Output of Floor operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Floor Activation Operator.
Floor Activation Operator.
$
y
= floor(x)$
$
out
= floor(x)$
)DOC"
);
)DOC"
);
}
}
...
@@ -252,11 +252,11 @@ class RoundOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -252,11 +252,11 @@ class RoundOpMaker : public framework::OpProtoAndCheckerMaker {
RoundOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
RoundOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Round operator"
);
AddInput
(
"X"
,
"Input of Round operator"
);
AddOutput
(
"
Y
"
,
"Output of Round operator"
);
AddOutput
(
"
Out
"
,
"Output of Round operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Round Activation Operator.
Round Activation Operator.
$
y
= [x]$
$
out
= [x]$
)DOC"
);
)DOC"
);
}
}
...
@@ -267,11 +267,11 @@ class ReciprocalOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -267,11 +267,11 @@ class ReciprocalOpMaker : public framework::OpProtoAndCheckerMaker {
ReciprocalOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
ReciprocalOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Reciprocal operator"
);
AddInput
(
"X"
,
"Input of Reciprocal operator"
);
AddOutput
(
"
Y
"
,
"Output of Reciprocal operator"
);
AddOutput
(
"
Out
"
,
"Output of Reciprocal operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Reciprocal Activation Operator.
Reciprocal Activation Operator.
$$
y
= \frac{1}{x}$$
$$
out
= \frac{1}{x}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -282,11 +282,11 @@ class LogOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -282,11 +282,11 @@ class LogOpMaker : public framework::OpProtoAndCheckerMaker {
LogOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
LogOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Log operator"
);
AddInput
(
"X"
,
"Input of Log operator"
);
AddOutput
(
"
Y
"
,
"Output of Log operator"
);
AddOutput
(
"
Out
"
,
"Output of Log operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Log Activation Operator.
Log Activation Operator.
$
y
= \ln(x)$
$
out
= \ln(x)$
Natural logarithm of x.
Natural logarithm of x.
...
@@ -299,11 +299,11 @@ class SquareOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -299,11 +299,11 @@ class SquareOpMaker : public framework::OpProtoAndCheckerMaker {
SquareOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SquareOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Square operator"
);
AddInput
(
"X"
,
"Input of Square operator"
);
AddOutput
(
"
Y
"
,
"Output of Square operator"
);
AddOutput
(
"
Out
"
,
"Output of Square operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Square Activation Operator.
Square Activation Operator.
$
y
= x^2$
$
out
= x^2$
)DOC"
);
)DOC"
);
}
}
...
@@ -314,11 +314,11 @@ class SoftplusOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -314,11 +314,11 @@ class SoftplusOpMaker : public framework::OpProtoAndCheckerMaker {
SoftplusOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SoftplusOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Softplus operator"
);
AddInput
(
"X"
,
"Input of Softplus operator"
);
AddOutput
(
"
Y
"
,
"Output of Softplus operator"
);
AddOutput
(
"
Out
"
,
"Output of Softplus operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Softplus Activation Operator.
Softplus Activation Operator.
$
y
= \ln(1 + e^{x})$
$
out
= \ln(1 + e^{x})$
)DOC"
);
)DOC"
);
}
}
...
@@ -329,11 +329,11 @@ class SoftsignOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -329,11 +329,11 @@ class SoftsignOpMaker : public framework::OpProtoAndCheckerMaker {
SoftsignOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SoftsignOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Softsign operator"
);
AddInput
(
"X"
,
"Input of Softsign operator"
);
AddOutput
(
"
Y
"
,
"Output of Softsign operator"
);
AddOutput
(
"
Out
"
,
"Output of Softsign operator"
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Softsign Activation Operator.
Softsign Activation Operator.
$$
y
= \frac{x}{1 + |x|}$$
$$
out
= \frac{x}{1 + |x|}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -344,7 +344,7 @@ class BReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -344,7 +344,7 @@ class BReluOpMaker : public framework::OpProtoAndCheckerMaker {
BReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
BReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of BRelu operator"
);
AddInput
(
"X"
,
"Input of BRelu operator"
);
AddOutput
(
"
Y
"
,
"Output of BRelu operator"
);
AddOutput
(
"
Out
"
,
"Output of BRelu operator"
);
AddAttr
<
float
>
(
"t_min"
,
"The min marginal value of BRelu"
)
AddAttr
<
float
>
(
"t_min"
,
"The min marginal value of BRelu"
)
.
SetDefault
(
static_cast
<
float
>
(
0
));
.
SetDefault
(
static_cast
<
float
>
(
0
));
AddAttr
<
float
>
(
"t_max"
,
"The max marginal value of BRelu"
)
AddAttr
<
float
>
(
"t_max"
,
"The max marginal value of BRelu"
)
...
@@ -352,7 +352,7 @@ class BReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -352,7 +352,7 @@ class BReluOpMaker : public framework::OpProtoAndCheckerMaker {
AddComment
(
R"DOC(
AddComment
(
R"DOC(
BRelu Activation Operator.
BRelu Activation Operator.
$
y
= \max(\min(x, t_{min}), t_{max})$
$
out
= \max(\min(x, t_{min}), t_{max})$
)DOC"
);
)DOC"
);
}
}
...
@@ -363,13 +363,13 @@ class SoftReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -363,13 +363,13 @@ class SoftReluOpMaker : public framework::OpProtoAndCheckerMaker {
SoftReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SoftReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of SoftRelu operator"
);
AddInput
(
"X"
,
"Input of SoftRelu operator"
);
AddOutput
(
"
Y
"
,
"Output of SoftRelu operator"
);
AddOutput
(
"
Out
"
,
"Output of SoftRelu operator"
);
AddAttr
<
float
>
(
"threshold"
,
"The threshold value of SoftRelu"
)
AddAttr
<
float
>
(
"threshold"
,
"The threshold value of SoftRelu"
)
.
SetDefault
(
40.0
f
);
.
SetDefault
(
40.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
SoftRelu Activation Operator.
SoftRelu Activation Operator.
$
y
= \ln(1 + \exp(\max(\min(x, threshold), threshold))$
$
out
= \ln(1 + \exp(\max(\min(x, threshold), threshold))$
)DOC"
);
)DOC"
);
}
}
...
@@ -380,7 +380,7 @@ class ELUOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -380,7 +380,7 @@ class ELUOpMaker : public framework::OpProtoAndCheckerMaker {
ELUOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
ELUOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of ELU operator"
);
AddInput
(
"X"
,
"Input of ELU operator"
);
AddOutput
(
"
Y
"
,
"Output of ELU operator"
);
AddOutput
(
"
Out
"
,
"Output of ELU operator"
);
AddAttr
<
float
>
(
"alpha"
,
"The alpha value of ELU"
).
SetDefault
(
1.0
f
);
AddAttr
<
float
>
(
"alpha"
,
"The alpha value of ELU"
).
SetDefault
(
1.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
ELU Activation Operator.
ELU Activation Operator.
...
@@ -388,7 +388,7 @@ ELU Activation Operator.
...
@@ -388,7 +388,7 @@ ELU Activation Operator.
Applies the following element-wise computation on the input according to
Applies the following element-wise computation on the input according to
https://arxiv.org/abs/1511.07289.
https://arxiv.org/abs/1511.07289.
$
y
= \max(0, x) + \min(0, \alpha * (e^x - 1))$
$
out
= \max(0, x) + \min(0, \alpha * (e^x - 1))$
)DOC"
);
)DOC"
);
}
}
...
@@ -399,13 +399,13 @@ class Relu6OpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -399,13 +399,13 @@ class Relu6OpMaker : public framework::OpProtoAndCheckerMaker {
Relu6OpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
Relu6OpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Relu6 operator"
);
AddInput
(
"X"
,
"Input of Relu6 operator"
);
AddOutput
(
"
Y
"
,
"Output of Relu6 operator"
);
AddOutput
(
"
Out
"
,
"Output of Relu6 operator"
);
AddAttr
<
float
>
(
"threshold"
,
"The threshold value of Relu6"
)
AddAttr
<
float
>
(
"threshold"
,
"The threshold value of Relu6"
)
.
SetDefault
(
6.0
f
);
.
SetDefault
(
6.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Relu6 Activation Operator.
Relu6 Activation Operator.
$
y
= \min(\max(0, x), 6)$
$
out
= \min(\max(0, x), 6)$
)DOC"
);
)DOC"
);
}
}
...
@@ -416,12 +416,12 @@ class PowOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -416,12 +416,12 @@ class PowOpMaker : public framework::OpProtoAndCheckerMaker {
PowOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
PowOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Pow operator"
);
AddInput
(
"X"
,
"Input of Pow operator"
);
AddOutput
(
"
Y
"
,
"Output of Pow operator"
);
AddOutput
(
"
Out
"
,
"Output of Pow operator"
);
AddAttr
<
float
>
(
"factor"
,
"The exponential factor of Pow"
).
SetDefault
(
1.0
f
);
AddAttr
<
float
>
(
"factor"
,
"The exponential factor of Pow"
).
SetDefault
(
1.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Pow Activation Operator.
Pow Activation Operator.
$
y
= x^{factor}$
$
out
= x^{factor}$
)DOC"
);
)DOC"
);
}
}
...
@@ -432,7 +432,7 @@ class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -432,7 +432,7 @@ class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
STanhOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
STanhOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of STanh operator"
);
AddInput
(
"X"
,
"Input of STanh operator"
);
AddOutput
(
"
Y
"
,
"Output of STanh operator"
);
AddOutput
(
"
Out
"
,
"Output of STanh operator"
);
AddAttr
<
float
>
(
"scale_a"
,
"The scale parameter of a for the input"
)
AddAttr
<
float
>
(
"scale_a"
,
"The scale parameter of a for the input"
)
.
SetDefault
(
2.0
f
/
3.0
f
);
.
SetDefault
(
2.0
f
/
3.0
f
);
AddAttr
<
float
>
(
"scale_b"
,
"The scale parameter of b for the input"
)
AddAttr
<
float
>
(
"scale_b"
,
"The scale parameter of b for the input"
)
...
@@ -440,7 +440,7 @@ class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -440,7 +440,7 @@ class STanhOpMaker : public framework::OpProtoAndCheckerMaker {
AddComment
(
R"DOC(
AddComment
(
R"DOC(
STanh Activation Operator.
STanh Activation Operator.
$$
y
= b * \frac{e^{a * x} - e^{-a * x}}{e^{a * x} + e^{-a * x}}$$
$$
out
= b * \frac{e^{a * x} - e^{-a * x}}{e^{a * x} + e^{-a * x}}$$
)DOC"
);
)DOC"
);
}
}
...
@@ -451,14 +451,14 @@ class ThresholdedReluOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -451,14 +451,14 @@ class ThresholdedReluOpMaker : public framework::OpProtoAndCheckerMaker {
ThresholdedReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
ThresholdedReluOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of ThresholdedRelu operator"
);
AddInput
(
"X"
,
"Input of ThresholdedRelu operator"
);
AddOutput
(
"
Y
"
,
"Output of ThresholdedRelu operator"
);
AddOutput
(
"
Out
"
,
"Output of ThresholdedRelu operator"
);
AddAttr
<
float
>
(
"threshold"
,
"The threshold location of activation"
)
AddAttr
<
float
>
(
"threshold"
,
"The threshold location of activation"
)
.
SetDefault
(
1.0
f
);
.
SetDefault
(
1.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
ThresholdedRelu Activation Operator.
ThresholdedRelu Activation Operator.
$$
$$
y
= \begin{cases}
out
= \begin{cases}
x, \text{if } x > threshold \\
x, \text{if } x > threshold \\
0, \text{otherwise}
0, \text{otherwise}
\end{cases}
\end{cases}
...
@@ -473,7 +473,7 @@ class HardSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -473,7 +473,7 @@ class HardSigmoidOpMaker : public framework::OpProtoAndCheckerMaker {
HardSigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
HardSigmoidOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of HardSigmoid operator"
);
AddInput
(
"X"
,
"Input of HardSigmoid operator"
);
AddOutput
(
"
Y
"
,
"Output of HardSigmoid operator"
);
AddOutput
(
"
Out
"
,
"Output of HardSigmoid operator"
);
AddAttr
<
float
>
(
"slope"
,
"Slope for linear approximation of sigmoid"
)
AddAttr
<
float
>
(
"slope"
,
"Slope for linear approximation of sigmoid"
)
.
SetDefault
(
0.2
f
);
.
SetDefault
(
0.2
f
);
AddAttr
<
float
>
(
"offset"
,
"Offset for linear approximation of sigmoid"
)
AddAttr
<
float
>
(
"offset"
,
"Offset for linear approximation of sigmoid"
)
...
@@ -484,7 +484,7 @@ HardSigmoid Activation Operator.
...
@@ -484,7 +484,7 @@ HardSigmoid Activation Operator.
Segment-wise linear approximation of sigmoid(https://arxiv.org/abs/1603.00391),
Segment-wise linear approximation of sigmoid(https://arxiv.org/abs/1603.00391),
which is much faster than sigmoid.
which is much faster than sigmoid.
$
y
= \max(0, \min(1, slope * x + shift))$
$
out
= \max(0, \min(1, slope * x + shift))$
The slope should be positive. The offset can be either positive or negative.
The slope should be positive. The offset can be either positive or negative.
The default slope and shift are set according to the above reference.
The default slope and shift are set according to the above reference.
...
@@ -499,12 +499,12 @@ class SwishOpMaker : public framework::OpProtoAndCheckerMaker {
...
@@ -499,12 +499,12 @@ class SwishOpMaker : public framework::OpProtoAndCheckerMaker {
SwishOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
SwishOpMaker
(
OpProto
*
proto
,
OpAttrChecker
*
op_checker
)
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
:
framework
::
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of Swish operator"
);
AddInput
(
"X"
,
"Input of Swish operator"
);
AddOutput
(
"
Y
"
,
"Output of Swish operator"
);
AddOutput
(
"
Out
"
,
"Output of Swish operator"
);
AddAttr
<
float
>
(
"beta"
,
"Constant beta of swish operator"
).
SetDefault
(
1.0
f
);
AddAttr
<
float
>
(
"beta"
,
"Constant beta of swish operator"
).
SetDefault
(
1.0
f
);
AddComment
(
R"DOC(
AddComment
(
R"DOC(
Swish Activation Operator.
Swish Activation Operator.
$$
y
= \frac{x}{1 + e^{- \beta x}}$$
$$
out
= \frac{x}{1 + e^{- \beta x}}$$
)DOC"
);
)DOC"
);
}
}
...
...
paddle/operators/activation_op.h
浏览文件 @
e0be63bf
...
@@ -27,11 +27,11 @@ class ActivationKernel
...
@@ -27,11 +27,11 @@ class ActivationKernel
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
X
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
X
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
Y
=
context
.
Output
<
framework
::
Tensor
>
(
"Y
"
);
auto
*
Out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out
"
);
Y
->
mutable_data
<
T
>
(
context
.
GetPlace
());
Out
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
x
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
X
);
auto
x
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
X
);
auto
y
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
Y
);
auto
out
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
Out
);
auto
*
place
=
auto
*
place
=
context
.
template
device_context
<
DeviceContext
>().
eigen_device
();
context
.
template
device_context
<
DeviceContext
>().
eigen_device
();
Functor
functor
;
Functor
functor
;
...
@@ -40,7 +40,7 @@ class ActivationKernel
...
@@ -40,7 +40,7 @@ class ActivationKernel
for
(
auto
&
attr
:
attrs
)
{
for
(
auto
&
attr
:
attrs
)
{
*
attr
.
second
=
context
.
Attr
<
float
>
(
attr
.
first
);
*
attr
.
second
=
context
.
Attr
<
float
>
(
attr
.
first
);
}
}
functor
(
*
place
,
x
,
y
);
functor
(
*
place
,
x
,
out
);
}
}
};
};
...
@@ -51,14 +51,15 @@ class ActivationGradKernel
...
@@ -51,14 +51,15 @@ class ActivationGradKernel
using
T
=
typename
Functor
::
ELEMENT_TYPE
;
using
T
=
typename
Functor
::
ELEMENT_TYPE
;
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
X
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
X
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
Y
=
context
.
Input
<
framework
::
Tensor
>
(
"Y"
);
auto
*
Out
=
context
.
Input
<
framework
::
Tensor
>
(
"Out"
);
auto
*
dY
=
context
.
Input
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"Y"
));
auto
*
dOut
=
context
.
Input
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"Out"
));
auto
*
dX
=
context
.
Output
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
auto
*
dX
=
context
.
Output
<
framework
::
Tensor
>
(
framework
::
GradVarName
(
"X"
));
dX
->
mutable_data
<
T
>
(
context
.
GetPlace
());
dX
->
mutable_data
<
T
>
(
context
.
GetPlace
());
auto
d
y
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dY
);
auto
d
out
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dOut
);
auto
x
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
X
);
auto
x
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
X
);
auto
y
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
Y
);
auto
out
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
Out
);
auto
dx
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dX
);
auto
dx
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
dX
);
auto
*
place
=
auto
*
place
=
context
.
template
device_context
<
DeviceContext
>().
eigen_device
();
context
.
template
device_context
<
DeviceContext
>().
eigen_device
();
...
@@ -67,7 +68,7 @@ class ActivationGradKernel
...
@@ -67,7 +68,7 @@ class ActivationGradKernel
for
(
auto
&
attr
:
attrs
)
{
for
(
auto
&
attr
:
attrs
)
{
*
attr
.
second
=
context
.
Attr
<
float
>
(
attr
.
first
);
*
attr
.
second
=
context
.
Attr
<
float
>
(
attr
.
first
);
}
}
functor
(
*
place
,
x
,
y
,
dy
,
dx
);
functor
(
*
place
,
x
,
out
,
dout
,
dx
);
}
}
};
};
...
@@ -83,17 +84,18 @@ struct BaseActivationFunctor {
...
@@ -83,17 +84,18 @@ struct BaseActivationFunctor {
// sigmoid(x) = 1 / (1 + exp(-x))
// sigmoid(x) = 1 / (1 + exp(-x))
template
<
typename
T
>
template
<
typename
T
>
struct
SigmoidFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SigmoidFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
(
-
x
).
exp
());
out
.
device
(
d
)
=
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
(
-
x
).
exp
());
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
SigmoidGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SigmoidGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
y
*
(
static_cast
<
T
>
(
1
)
-
y
);
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
out
*
(
static_cast
<
T
>
(
1
)
-
out
);
}
}
};
};
...
@@ -101,7 +103,7 @@ struct SigmoidGradFunctor : public BaseActivationFunctor<T> {
...
@@ -101,7 +103,7 @@ struct SigmoidGradFunctor : public BaseActivationFunctor<T> {
// For numerical stability, we can use the log-sum-exp trick:
// For numerical stability, we can use the log-sum-exp trick:
// https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/
// https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/
// We can rewrite the above equation as:
// We can rewrite the above equation as:
//
y
= -log( exp(0) + exp(-x)) [since exp(0) = 1]
//
out
= -log( exp(0) + exp(-x)) [since exp(0) = 1]
// = -log( exp(max(-x, 0) - max(-x, 0)) + exp(-x + max(-x, 0) - max(-x, 0)))
// = -log( exp(max(-x, 0) - max(-x, 0)) + exp(-x + max(-x, 0) - max(-x, 0)))
// = -log( exp(max(-x, 0)) * exp(-max(-x, 0)) - exp(max(-x, 0)) * exp(-x -
// = -log( exp(max(-x, 0)) * exp(-max(-x, 0)) - exp(max(-x, 0)) * exp(-x -
// max(-x, 0)))
// max(-x, 0)))
...
@@ -112,10 +114,10 @@ struct SigmoidGradFunctor : public BaseActivationFunctor<T> {
...
@@ -112,10 +114,10 @@ struct SigmoidGradFunctor : public BaseActivationFunctor<T> {
// + exp(-x - max(-x, 0))))
// + exp(-x - max(-x, 0))))
template
<
typename
T
>
template
<
typename
T
>
struct
LogSigmoidFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
LogSigmoidFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
temp
=
(
-
x
).
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(-x, 0)
auto
temp
=
(
-
x
).
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(-x, 0)
y
.
device
(
d
)
=
-
temp
-
(((
-
temp
).
exp
()
+
(
-
x
-
temp
).
exp
()).
log
());
out
.
device
(
d
)
=
-
temp
-
(((
-
temp
).
exp
()
+
(
-
x
-
temp
).
exp
()).
log
());
}
}
};
};
...
@@ -124,62 +126,66 @@ struct LogSigmoidFunctor : public BaseActivationFunctor<T> {
...
@@ -124,62 +126,66 @@ struct LogSigmoidFunctor : public BaseActivationFunctor<T> {
// exp(-x - max(-x, 0)))
// exp(-x - max(-x, 0)))
template
<
typename
T
>
template
<
typename
T
>
struct
LogSigmoidGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
LogSigmoidGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
temp
=
(
-
x
).
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(-x, 0)
auto
temp
=
(
-
x
).
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(-x, 0)
dx
.
device
(
d
)
=
dx
.
device
(
d
)
=
d
y
*
((
-
x
-
temp
).
exp
()
/
((
-
temp
).
exp
()
+
(
-
x
-
temp
).
exp
()));
d
out
*
((
-
x
-
temp
).
exp
()
/
((
-
temp
).
exp
()
+
(
-
x
-
temp
).
exp
()));
}
}
};
};
// exp(x) = e^x
// exp(x) = e^x
template
<
typename
T
>
template
<
typename
T
>
struct
ExpFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ExpFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
exp
();
out
.
device
(
d
)
=
x
.
exp
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
ExpGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ExpGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
y
;
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
out
;
}
}
};
};
// relu(x) = max(x, 0)
// relu(x) = max(x, 0)
template
<
typename
T
>
template
<
typename
T
>
struct
ReluFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ReluFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
out
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
ReluGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ReluGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
(
x
>
static_cast
<
T
>
(
0
)).
template
cast
<
T
>();
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
(
x
>
static_cast
<
T
>
(
0
)).
template
cast
<
T
>();
}
}
};
};
// tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
// tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template
<
typename
T
>
template
<
typename
T
>
struct
TanhFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
TanhFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
tanh
();
out
.
device
(
d
)
=
x
.
tanh
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
TanhGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
TanhGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
(
static_cast
<
T
>
(
1
)
-
y
*
y
);
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
(
static_cast
<
T
>
(
1
)
-
out
*
out
);
}
}
};
};
...
@@ -187,17 +193,18 @@ struct TanhGradFunctor : public BaseActivationFunctor<T> {
...
@@ -187,17 +193,18 @@ struct TanhGradFunctor : public BaseActivationFunctor<T> {
// where tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
// where tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template
<
typename
T
>
template
<
typename
T
>
struct
TanhShrinkFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
TanhShrinkFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
-
x
.
tanh
();
out
.
device
(
d
)
=
x
-
x
.
tanh
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
TanhShrinkGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
TanhShrinkGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
(
x
.
tanh
()
*
x
.
tanh
());
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
(
x
.
tanh
()
*
x
.
tanh
());
}
}
};
};
...
@@ -210,11 +217,11 @@ struct HardShrinkFunctor : public BaseActivationFunctor<T> {
...
@@ -210,11 +217,11 @@ struct HardShrinkFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
temp1
=
(
x
<
static_cast
<
T
>
(
threshold
*
-
1
)).
template
cast
<
T
>().
eval
();
auto
temp1
=
(
x
<
static_cast
<
T
>
(
threshold
*
-
1
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>
static_cast
<
T
>
(
threshold
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>
static_cast
<
T
>
(
threshold
)).
template
cast
<
T
>().
eval
();
y
.
device
(
d
)
=
x
*
(
temp1
+
temp2
);
out
.
device
(
d
)
=
x
*
(
temp1
+
temp2
);
}
}
};
};
...
@@ -226,11 +233,12 @@ struct HardShrinkGradFunctor : public BaseActivationFunctor<T> {
...
@@ -226,11 +233,12 @@ struct HardShrinkGradFunctor : public BaseActivationFunctor<T> {
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
temp1
=
(
x
<
static_cast
<
T
>
(
threshold
*
-
1
)).
template
cast
<
T
>().
eval
();
auto
temp1
=
(
x
<
static_cast
<
T
>
(
threshold
*
-
1
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>
static_cast
<
T
>
(
threshold
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>
static_cast
<
T
>
(
threshold
)).
template
cast
<
T
>().
eval
();
dx
.
device
(
d
)
=
d
y
*
(
temp1
+
temp2
).
template
cast
<
T
>();
dx
.
device
(
d
)
=
d
out
*
(
temp1
+
temp2
).
template
cast
<
T
>();
}
}
};
};
...
@@ -243,12 +251,12 @@ struct SoftShrinkFunctor : public BaseActivationFunctor<T> {
...
@@ -243,12 +251,12 @@ struct SoftShrinkFunctor : public BaseActivationFunctor<T> {
return
{{
"lambda"
,
&
lambda
}};
return
{{
"lambda"
,
&
lambda
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
lambdaT
=
static_cast
<
T
>
(
lambda
);
auto
lambdaT
=
static_cast
<
T
>
(
lambda
);
auto
temp1
=
(
x
>
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp1
=
(
x
>
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
<
-
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
<
-
lambdaT
).
template
cast
<
T
>().
eval
();
y
.
device
(
d
)
=
temp1
*
(
x
-
lambdaT
)
+
temp2
*
(
x
+
lambdaT
);
out
.
device
(
d
)
=
temp1
*
(
x
-
lambdaT
)
+
temp2
*
(
x
+
lambdaT
);
}
}
};
};
...
@@ -258,46 +266,49 @@ struct SoftShrinkGradFunctor : public BaseActivationFunctor<T> {
...
@@ -258,46 +266,49 @@ struct SoftShrinkGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"lambda"
,
&
lambda
}};
return
{{
"lambda"
,
&
lambda
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
lambdaT
=
static_cast
<
T
>
(
lambda
);
auto
lambdaT
=
static_cast
<
T
>
(
lambda
);
auto
temp1
=
(
x
>
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp1
=
(
x
>
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
<
-
lambdaT
).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
<
-
lambdaT
).
template
cast
<
T
>().
eval
();
dx
.
device
(
d
)
=
d
y
*
(
temp1
+
temp2
).
template
cast
<
T
>();
dx
.
device
(
d
)
=
d
out
*
(
temp1
+
temp2
).
template
cast
<
T
>();
}
}
};
};
// sqrt(x) = x^(1/2)
// sqrt(x) = x^(1/2)
template
<
typename
T
>
template
<
typename
T
>
struct
SqrtFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SqrtFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
sqrt
();
out
.
device
(
d
)
=
x
.
sqrt
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
SqrtGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SqrtGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
const
Y
y_conj
=
Eigen
::
numext
::
conj
(
y
);
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
static_cast
<
T
>
(
0.5
)
*
dy
/
y_conj
;
const
Out
out_conj
=
Eigen
::
numext
::
conj
(
out
);
dx
.
device
(
d
)
=
static_cast
<
T
>
(
0.5
)
*
dout
/
out_conj
;
}
}
};
};
// ceil(x) = ceiling(x)
// ceil(x) = ceiling(x)
template
<
typename
T
>
template
<
typename
T
>
struct
CeilFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
CeilFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
ceil
();
out
.
device
(
d
)
=
x
.
ceil
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
ZeroGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ZeroGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
static_cast
<
T
>
(
0
)
/
x
;
dx
.
device
(
d
)
=
static_cast
<
T
>
(
0
)
/
x
;
}
}
};
};
...
@@ -305,86 +316,90 @@ struct ZeroGradFunctor : public BaseActivationFunctor<T> {
...
@@ -305,86 +316,90 @@ struct ZeroGradFunctor : public BaseActivationFunctor<T> {
// floor(x) = flooring(x)
// floor(x) = flooring(x)
template
<
typename
T
>
template
<
typename
T
>
struct
FloorFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
FloorFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
ceil
();
out
.
device
(
d
)
=
x
.
ceil
();
}
}
};
};
// round(x) = [x]
// round(x) = [x]
template
<
typename
T
>
template
<
typename
T
>
struct
RoundFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
RoundFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
round
();
out
.
device
(
d
)
=
x
.
round
();
}
}
};
};
// abs(x) = |x|
// abs(x) = |x|
template
<
typename
T
>
template
<
typename
T
>
struct
AbsFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
AbsFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
abs
();
out
.
device
(
d
)
=
x
.
abs
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
AbsGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
AbsGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
x
.
sign
();
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
x
.
sign
();
}
}
};
};
// reciprocal(x) = 1 / x
// reciprocal(x) = 1 / x
template
<
typename
T
>
template
<
typename
T
>
struct
ReciprocalFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ReciprocalFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
static_cast
<
T
>
(
1
)
/
x
;
out
.
device
(
d
)
=
static_cast
<
T
>
(
1
)
/
x
;
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
ReciprocalGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
ReciprocalGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
static_cast
<
T
>
(
-
1
)
*
y
*
y
;
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
static_cast
<
T
>
(
-
1
)
*
out
*
out
;
}
}
};
};
// log(x) = natural logarithm of x
// log(x) = natural logarithm of x
template
<
typename
T
>
template
<
typename
T
>
struct
LogFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
LogFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
log
();
out
.
device
(
d
)
=
x
.
log
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
LogGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
LogGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
(
static_cast
<
T
>
(
1
)
/
x
);
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
(
static_cast
<
T
>
(
1
)
/
x
);
}
}
};
};
// square(x) = x^2
// square(x) = x^2
template
<
typename
T
>
template
<
typename
T
>
struct
SquareFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SquareFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
square
();
out
.
device
(
d
)
=
x
.
square
();
}
}
};
};
template
<
typename
T
>
template
<
typename
T
>
struct
SquareGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SquareGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
static_cast
<
T
>
(
2
)
*
x
;
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
static_cast
<
T
>
(
2
)
*
x
;
}
}
};
};
...
@@ -399,9 +414,9 @@ struct BReluFunctor : public BaseActivationFunctor<T> {
...
@@ -399,9 +414,9 @@ struct BReluFunctor : public BaseActivationFunctor<T> {
return
{{
"t_min"
,
&
t_min
},
{
"t_max"
,
&
t_max
}};
return
{{
"t_min"
,
&
t_min
},
{
"t_max"
,
&
t_max
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
out
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
t_min
)).
cwiseMin
(
static_cast
<
T
>
(
t_max
));
x
.
cwiseMax
(
static_cast
<
T
>
(
t_min
)).
cwiseMin
(
static_cast
<
T
>
(
t_max
));
}
}
};
};
...
@@ -413,9 +428,10 @@ struct BReluGradFunctor : public BaseActivationFunctor<T> {
...
@@ -413,9 +428,10 @@ struct BReluGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"t_min"
,
&
t_min
},
{
"t_max"
,
&
t_max
}};
return
{{
"t_min"
,
&
t_min
},
{
"t_max"
,
&
t_max
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
((
x
>
static_cast
<
T
>
(
t_min
))
*
(
x
<
static_cast
<
T
>
(
t_max
)))
((
x
>
static_cast
<
T
>
(
t_min
))
*
(
x
<
static_cast
<
T
>
(
t_max
)))
.
template
cast
<
T
>();
.
template
cast
<
T
>();
}
}
...
@@ -430,9 +446,9 @@ struct Relu6Functor : public BaseActivationFunctor<T> {
...
@@ -430,9 +446,9 @@ struct Relu6Functor : public BaseActivationFunctor<T> {
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
out
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
)).
cwiseMin
(
static_cast
<
T
>
(
threshold
));
x
.
cwiseMax
(
static_cast
<
T
>
(
0
)).
cwiseMin
(
static_cast
<
T
>
(
threshold
));
}
}
};
};
...
@@ -443,9 +459,10 @@ struct Relu6GradFunctor : public BaseActivationFunctor<T> {
...
@@ -443,9 +459,10 @@ struct Relu6GradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
((
x
>
static_cast
<
T
>
(
0
))
*
(
x
<
static_cast
<
T
>
(
threshold
)))
((
x
>
static_cast
<
T
>
(
0
))
*
(
x
<
static_cast
<
T
>
(
threshold
)))
.
template
cast
<
T
>();
.
template
cast
<
T
>();
}
}
...
@@ -458,10 +475,10 @@ struct Relu6GradFunctor : public BaseActivationFunctor<T> {
...
@@ -458,10 +475,10 @@ struct Relu6GradFunctor : public BaseActivationFunctor<T> {
// Then: softplus(x) = max(x, 0) + log(exp(-max(x, 0)) + exp(x - max(x, 0)))
// Then: softplus(x) = max(x, 0) + log(exp(-max(x, 0)) + exp(x - max(x, 0)))
template
<
typename
T
>
template
<
typename
T
>
struct
SoftplusFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SoftplusFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
{
auto
temp
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(x, 0)
auto
temp
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(x, 0)
y
.
device
(
d
)
=
temp
+
(((
-
temp
).
exp
()
+
(
x
-
temp
).
exp
()).
log
());
out
.
device
(
d
)
=
temp
+
(((
-
temp
).
exp
()
+
(
x
-
temp
).
exp
()).
log
());
}
}
};
};
...
@@ -471,19 +488,21 @@ struct SoftplusFunctor : public BaseActivationFunctor<T> {
...
@@ -471,19 +488,21 @@ struct SoftplusFunctor : public BaseActivationFunctor<T> {
// exp(x - max(x, 0)))
// exp(x - max(x, 0)))
template
<
typename
T
>
template
<
typename
T
>
struct
SoftplusGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SoftplusGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
{
auto
temp
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(x, 0)
auto
temp
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
));
// temp = max(x, 0)
dx
.
device
(
d
)
=
dy
*
((
x
-
temp
).
exp
()
/
((
-
temp
).
exp
()
+
(
x
-
temp
).
exp
()));
dx
.
device
(
d
)
=
dout
*
((
x
-
temp
).
exp
()
/
((
-
temp
).
exp
()
+
(
x
-
temp
).
exp
()));
}
}
};
};
// softsign(x) = x / (1 + |x|)
// softsign(x) = x / (1 + |x|)
template
<
typename
T
>
template
<
typename
T
>
struct
SoftsignFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SoftsignFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
{
y
.
device
(
d
)
=
x
/
(
static_cast
<
T
>
(
1
)
+
x
.
abs
());
out
.
device
(
d
)
=
x
/
(
static_cast
<
T
>
(
1
)
+
x
.
abs
());
}
}
};
};
...
@@ -491,10 +510,11 @@ struct SoftsignFunctor : public BaseActivationFunctor<T> {
...
@@ -491,10 +510,11 @@ struct SoftsignFunctor : public BaseActivationFunctor<T> {
// Taken from https://en.wikipedia.org/wiki/Activation_function
// Taken from https://en.wikipedia.org/wiki/Activation_function
template
<
typename
T
>
template
<
typename
T
>
struct
SoftsignGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
struct
SoftsignGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
{
dx
.
device
(
d
)
=
dx
.
device
(
d
)
=
d
y
*
(
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
x
.
abs
()).
square
());
d
out
*
(
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
x
.
abs
()).
square
());
}
}
};
};
...
@@ -505,11 +525,11 @@ struct SoftReluFunctor : public BaseActivationFunctor<T> {
...
@@ -505,11 +525,11 @@ struct SoftReluFunctor : public BaseActivationFunctor<T> {
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
tmp
=
static_cast
<
T
>
(
threshold
);
auto
tmp
=
static_cast
<
T
>
(
threshold
);
auto
temp
=
x
.
cwiseMax
(
-
tmp
).
cwiseMin
(
tmp
);
auto
temp
=
x
.
cwiseMax
(
-
tmp
).
cwiseMin
(
tmp
);
y
.
device
(
d
)
=
(
static_cast
<
T
>
(
1
)
+
temp
.
exp
()).
log
();
out
.
device
(
d
)
=
(
static_cast
<
T
>
(
1
)
+
temp
.
exp
()).
log
();
}
}
};
};
...
@@ -519,11 +539,12 @@ struct SoftReluGradFunctor : public BaseActivationFunctor<T> {
...
@@ -519,11 +539,12 @@ struct SoftReluGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
tmp
=
static_cast
<
T
>
(
threshold
);
auto
tmp
=
static_cast
<
T
>
(
threshold
);
auto
temp
=
((
x
>
-
tmp
)
*
(
x
<
tmp
)).
template
cast
<
T
>().
eval
();
auto
temp
=
((
x
>
-
tmp
)
*
(
x
<
tmp
)).
template
cast
<
T
>().
eval
();
dx
.
device
(
d
)
=
d
y
*
(
static_cast
<
T
>
(
1
)
-
(
-
y
).
exp
())
*
temp
;
dx
.
device
(
d
)
=
d
out
*
(
static_cast
<
T
>
(
1
)
-
(
-
out
).
exp
())
*
temp
;
}
}
};
};
...
@@ -534,9 +555,9 @@ struct LeakyReluFunctor : public BaseActivationFunctor<T> {
...
@@ -534,9 +555,9 @@ struct LeakyReluFunctor : public BaseActivationFunctor<T> {
return
{{
"alpha"
,
&
alpha
}};
return
{{
"alpha"
,
&
alpha
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
alpha
)
*
x
);
out
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
alpha
)
*
x
);
}
}
};
};
...
@@ -546,12 +567,13 @@ struct LeakyReluGradFunctor : public BaseActivationFunctor<T> {
...
@@ -546,12 +567,13 @@ struct LeakyReluGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"alpha"
,
&
alpha
}};
return
{{
"alpha"
,
&
alpha
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
temp1
=
static_cast
<
T
>
(
alpha
)
*
auto
temp1
=
static_cast
<
T
>
(
alpha
)
*
(
x
<
static_cast
<
T
>
(
0
)).
template
cast
<
T
>().
eval
();
(
x
<
static_cast
<
T
>
(
0
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>=
static_cast
<
T
>
(
0
)).
template
cast
<
T
>().
eval
();
auto
temp2
=
(
x
>=
static_cast
<
T
>
(
0
)).
template
cast
<
T
>().
eval
();
dx
.
device
(
d
)
=
d
y
*
(
temp1
+
temp2
).
template
cast
<
T
>();
dx
.
device
(
d
)
=
d
out
*
(
temp1
+
temp2
).
template
cast
<
T
>();
}
}
};
};
...
@@ -562,11 +584,11 @@ struct ELUFunctor : public BaseActivationFunctor<T> {
...
@@ -562,11 +584,11 @@ struct ELUFunctor : public BaseActivationFunctor<T> {
return
{{
"alpha"
,
&
alpha
}};
return
{{
"alpha"
,
&
alpha
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
))
+
out
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
))
+
(
static_cast
<
T
>
(
alpha
)
*
(
x
.
exp
()
-
static_cast
<
T
>
(
1
)))
(
static_cast
<
T
>
(
alpha
)
*
(
x
.
exp
()
-
static_cast
<
T
>
(
1
)))
.
cwiseMin
(
static_cast
<
T
>
(
0
));
.
cwiseMin
(
static_cast
<
T
>
(
0
));
}
}
};
};
...
@@ -576,10 +598,11 @@ struct ELUGradFunctor : public BaseActivationFunctor<T> {
...
@@ -576,10 +598,11 @@ struct ELUGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"alpha"
,
&
alpha
}};
return
{{
"alpha"
,
&
alpha
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
(
x
>
static_cast
<
T
>
(
0
)).
template
cast
<
T
>()
+
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dy
*
(
y
+
static_cast
<
T
>
(
alpha
))
*
dx
.
device
(
d
)
=
dout
*
(
x
>
static_cast
<
T
>
(
0
)).
template
cast
<
T
>()
+
dout
*
(
out
+
static_cast
<
T
>
(
alpha
))
*
(
x
<
static_cast
<
T
>
(
0
)).
template
cast
<
T
>();
(
x
<
static_cast
<
T
>
(
0
)).
template
cast
<
T
>();
}
}
};
};
...
@@ -591,9 +614,9 @@ struct PowFunctor : public BaseActivationFunctor<T> {
...
@@ -591,9 +614,9 @@ struct PowFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"factor"
,
&
factor
}};
return
{{
"factor"
,
&
factor
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
.
pow
(
static_cast
<
T
>
(
factor
));
out
.
device
(
d
)
=
x
.
pow
(
static_cast
<
T
>
(
factor
));
}
}
};
};
...
@@ -603,9 +626,10 @@ struct PowGradFunctor : public BaseActivationFunctor<T> {
...
@@ -603,9 +626,10 @@ struct PowGradFunctor : public BaseActivationFunctor<T> {
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"factor"
,
&
factor
}};
return
{{
"factor"
,
&
factor
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
dy
*
static_cast
<
T
>
(
factor
)
*
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dout
*
static_cast
<
T
>
(
factor
)
*
x
.
pow
(
static_cast
<
T
>
(
factor
-
static_cast
<
T
>
(
1
)));
x
.
pow
(
static_cast
<
T
>
(
factor
-
static_cast
<
T
>
(
1
)));
}
}
};
};
...
@@ -618,9 +642,9 @@ struct STanhFunctor : public BaseActivationFunctor<T> {
...
@@ -618,9 +642,9 @@ struct STanhFunctor : public BaseActivationFunctor<T> {
return
{{
"scale_a"
,
&
scale_a
},
{
"scale_b"
,
&
scale_b
}};
return
{{
"scale_a"
,
&
scale_a
},
{
"scale_b"
,
&
scale_b
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
out
.
device
(
d
)
=
static_cast
<
T
>
(
scale_b
)
*
(
static_cast
<
T
>
(
scale_a
)
*
x
).
tanh
();
static_cast
<
T
>
(
scale_b
)
*
(
static_cast
<
T
>
(
scale_a
)
*
x
).
tanh
();
}
}
};
};
...
@@ -633,12 +657,13 @@ struct STanhGradFunctor : public BaseActivationFunctor<T> {
...
@@ -633,12 +657,13 @@ struct STanhGradFunctor : public BaseActivationFunctor<T> {
return
{{
"scale_a"
,
&
scale_a
},
{
"scale_b"
,
&
scale_b
}};
return
{{
"scale_a"
,
&
scale_a
},
{
"scale_b"
,
&
scale_b
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
a
=
static_cast
<
T
>
(
scale_a
);
auto
a
=
static_cast
<
T
>
(
scale_a
);
auto
b
=
static_cast
<
T
>
(
scale_b
);
auto
b
=
static_cast
<
T
>
(
scale_b
);
auto
temp
=
(
a
*
x
).
tanh
()
*
(
a
*
x
).
tanh
();
auto
temp
=
(
a
*
x
).
tanh
()
*
(
a
*
x
).
tanh
();
dx
.
device
(
d
)
=
d
y
*
a
*
b
*
(
static_cast
<
T
>
(
1
)
-
temp
);
dx
.
device
(
d
)
=
d
out
*
a
*
b
*
(
static_cast
<
T
>
(
1
)
-
temp
);
}
}
};
};
...
@@ -649,10 +674,10 @@ struct ThresholdedReluFunctor : public BaseActivationFunctor<T> {
...
@@ -649,10 +674,10 @@ struct ThresholdedReluFunctor : public BaseActivationFunctor<T> {
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
th
=
static_cast
<
T
>
(
threshold
);
auto
th
=
static_cast
<
T
>
(
threshold
);
y
.
device
(
d
)
=
(
x
>
th
).
template
cast
<
T
>()
*
x
;
out
.
device
(
d
)
=
(
x
>
th
).
template
cast
<
T
>()
*
x
;
}
}
};
};
...
@@ -663,10 +688,11 @@ struct ThresholdedReluGradFunctor : public BaseActivationFunctor<T> {
...
@@ -663,10 +688,11 @@ struct ThresholdedReluGradFunctor : public BaseActivationFunctor<T> {
return
{{
"threshold"
,
&
threshold
}};
return
{{
"threshold"
,
&
threshold
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
th
=
static_cast
<
T
>
(
threshold
);
auto
th
=
static_cast
<
T
>
(
threshold
);
dx
.
device
(
d
)
=
d
y
*
(
x
>
th
).
template
cast
<
T
>();
dx
.
device
(
d
)
=
d
out
*
(
x
>
th
).
template
cast
<
T
>();
}
}
};
};
...
@@ -678,10 +704,11 @@ struct HardSigmoidFunctor : public BaseActivationFunctor<T> {
...
@@ -678,10 +704,11 @@ struct HardSigmoidFunctor : public BaseActivationFunctor<T> {
return
{{
"slope"
,
&
slope
},
{
"offset"
,
&
offset
}};
return
{{
"slope"
,
&
slope
},
{
"offset"
,
&
offset
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
auto
temp
=
x
*
static_cast
<
T
>
(
slope
)
+
static_cast
<
T
>
(
offset
);
auto
temp
=
x
*
static_cast
<
T
>
(
slope
)
+
static_cast
<
T
>
(
offset
);
y
.
device
(
d
)
=
temp
.
cwiseMax
(
static_cast
<
T
>
(
0
)).
cwiseMin
(
static_cast
<
T
>
(
1
));
out
.
device
(
d
)
=
temp
.
cwiseMax
(
static_cast
<
T
>
(
0
)).
cwiseMin
(
static_cast
<
T
>
(
1
));
}
}
};
};
...
@@ -693,12 +720,13 @@ struct HardSigmoidGradFunctor : public BaseActivationFunctor<T> {
...
@@ -693,12 +720,13 @@ struct HardSigmoidGradFunctor : public BaseActivationFunctor<T> {
return
{{
"slope"
,
&
slope
},
{
"offset"
,
&
offset
}};
return
{{
"slope"
,
&
slope
},
{
"offset"
,
&
offset
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
dx
.
device
(
d
)
=
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
dy
*
dx
.
device
(
d
)
=
dout
*
((
y
>
static_cast
<
T
>
(
0
))
*
(
y
<
static_cast
<
T
>
(
1
))).
template
cast
<
T
>()
*
((
out
>
static_cast
<
T
>
(
0
))
*
(
out
<
static_cast
<
T
>
(
1
)))
static_cast
<
T
>
(
slope
);
.
template
cast
<
T
>()
*
static_cast
<
T
>
(
slope
);
}
}
};
};
...
@@ -709,9 +737,9 @@ struct SwishFunctor : public BaseActivationFunctor<T> {
...
@@ -709,9 +737,9 @@ struct SwishFunctor : public BaseActivationFunctor<T> {
return
{{
"beta"
,
&
beta
}};
return
{{
"beta"
,
&
beta
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
template
<
typename
Device
,
typename
X
,
typename
Out
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
void
operator
()(
Device
d
,
X
x
,
Out
out
)
const
{
y
.
device
(
d
)
=
x
/
(
static_cast
<
T
>
(
1
)
+
(
static_cast
<
T
>
(
-
beta
)
*
x
).
exp
());
out
.
device
(
d
)
=
x
/
(
static_cast
<
T
>
(
1
)
+
(
static_cast
<
T
>
(
-
beta
)
*
x
).
exp
());
}
}
};
};
...
@@ -722,12 +750,13 @@ struct SwishGradFunctor : public BaseActivationFunctor<T> {
...
@@ -722,12 +750,13 @@ struct SwishGradFunctor : public BaseActivationFunctor<T> {
return
{{
"beta"
,
&
beta
}};
return
{{
"beta"
,
&
beta
}};
}
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
template
<
typename
Device
,
typename
X
,
typename
Out
,
typename
dOut
,
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Out
out
,
dOut
dout
,
dX
dx
)
const
{
auto
temp1
=
static_cast
<
T
>
(
1
)
/
auto
temp1
=
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
(
static_cast
<
T
>
(
-
beta
)
*
x
).
exp
());
(
static_cast
<
T
>
(
1
)
+
(
static_cast
<
T
>
(
-
beta
)
*
x
).
exp
());
auto
temp2
=
temp1
*
(
static_cast
<
T
>
(
1
)
-
(
beta
*
y
));
auto
temp2
=
temp1
*
(
static_cast
<
T
>
(
1
)
-
(
beta
*
out
));
dx
.
device
(
d
)
=
d
y
*
((
beta
*
y
)
+
temp2
);
dx
.
device
(
d
)
=
d
out
*
((
beta
*
out
)
+
temp2
);
}
}
};
};
...
...
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