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0d017d91
编写于
10月 09, 2017
作者:
Z
zhouxiao-coder
提交者:
GitHub
10月 09, 2017
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Merge pull request #4395 from zhouxiao-coder/elu-activation
ELU activation
上级
bb81baa1
e6421249
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
92 addition
and
18 deletion
+92
-18
paddle/operators/activation_op.cc
paddle/operators/activation_op.cc
+24
-0
paddle/operators/activation_op.h
paddle/operators/activation_op.h
+48
-18
python/paddle/v2/framework/tests/test_activation_op.py
python/paddle/v2/framework/tests/test_activation_op.py
+20
-0
未找到文件。
paddle/operators/activation_op.cc
浏览文件 @
0d017d91
...
...
@@ -201,6 +201,27 @@ class SoftReluOpMaker : public framework::OpProtoAndCheckerMaker {
}
};
template
<
typename
AttrType
>
class
ELUOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
ELUOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"(Tensor) The input of ELU operator, it shouldn't be empty. Input "
"is flattened and treated as a 1D array."
);
AddOutput
(
"Y"
,
"(Tensor) The output of ELU operator. It has the same shape as "
"the input."
);
AddAttr
<
AttrType
>
(
"alpha"
,
"(float, default 1.0) Alpha value in the elu formulation."
)
.
SetDefault
(
static_cast
<
AttrType
>
(
1.
));
AddComment
(
R"DOC(
ELU activation operator. It applies this element-wise computation on
the input: f(x) = max(0, x) + min(0, alpha * (exp(x) - 1)).
Check .. _Link: https://arxiv.org/abs/1511.07289 for more details.)DOC"
);
}
};
template
<
typename
AttrType
>
class
Relu6OpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
...
...
@@ -289,6 +310,9 @@ REGISTER_OP(leaky_relu, ops::ActivationOp, ops::LeakyReluOpMaker<float>,
REGISTER_OP
(
soft_relu
,
ops
::
ActivationOp
,
ops
::
SoftReluOpMaker
<
float
>
,
soft_relu_grad
,
ops
::
ActivationOpGrad
);
REGISTER_OP
(
elu
,
ops
::
ActivationOp
,
ops
::
ELUOpMaker
<
float
>
,
elu_grad
,
ops
::
ActivationOpGrad
);
REGISTER_OP
(
relu6
,
ops
::
ActivationOp
,
ops
::
Relu6OpMaker
<
float
>
,
relu6_grad
,
ops
::
ActivationOpGrad
);
...
...
paddle/operators/activation_op.h
浏览文件 @
0d017d91
...
...
@@ -384,6 +384,35 @@ struct LeakyReluGradFunctor : public BaseActivationFunctor<T> {
}
};
template
<
typename
T
>
struct
ELUFunctor
:
public
BaseActivationFunctor
<
T
>
{
float
alpha
;
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"alpha"
,
&
alpha
}};
}
template
<
typename
Device
,
typename
X
,
typename
Y
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
y
.
device
(
d
)
=
x
.
cwiseMax
(
static_cast
<
T
>
(
0
))
+
(
alpha
*
(
x
.
exp
()
-
static_cast
<
T
>
(
1
))).
cwiseMin
(
static_cast
<
T
>
(
0
));
}
};
template
<
typename
T
>
struct
ELUGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
float
alpha
;
typename
BaseActivationFunctor
<
T
>::
AttrPair
GetAttrs
()
{
return
{{
"alpha"
,
&
alpha
}};
}
template
<
typename
Device
,
typename
X
,
typename
Y
,
typename
dY
,
typename
dX
>
void
operator
()(
Device
d
,
X
x
,
Y
y
,
dY
dy
,
dX
dx
)
const
{
dx
.
device
(
d
)
=
dy
*
(
x
>
static_cast
<
T
>
(
0
)).
template
cast
<
T
>()
+
dy
*
(
y
+
alpha
)
*
(
x
<
static_cast
<
T
>
(
0
)).
template
cast
<
T
>();
}
};
template
<
typename
T
>
struct
PowFunctor
:
public
BaseActivationFunctor
<
T
>
{
float
factor
;
...
...
@@ -440,21 +469,22 @@ struct STanhGradFunctor : public BaseActivationFunctor<T> {
}
// namespace operators
}
// namespace paddle
#define FOR_EACH_KERNEL_FUNCTOR(__macro) \
__macro(sigmoid, SigmoidFunctor, SigmoidGradFunctor); \
__macro(exp, ExpFunctor, ExpGradFunctor); \
__macro(relu, ReluFunctor, ReluGradFunctor); \
__macro(tanh, TanhFunctor, TanhGradFunctor); \
__macro(sqrt, SqrtFunctor, SqrtGradFunctor); \
__macro(abs, AbsFunctor, AbsGradFunctor); \
__macro(reciprocal, ReciprocalFunctor, ReciprocalGradFunctor); \
__macro(log, LogFunctor, LogGradFunctor); \
__macro(square, SquareFunctor, SquareGradFunctor); \
__macro(brelu, BReluFunctor, BReluGradFunctor); \
__macro(soft_relu, SoftReluFunctor, SoftReluGradFunctor); \
__macro(pow, PowFunctor, PowGradFunctor); \
__macro(stanh, STanhFunctor, STanhGradFunctor); \
__macro(softsign, SoftsignFunctor, SoftsignGradFunctor); \
__macro(relu6, Relu6Functor, Relu6GradFunctor); \
__macro(leaky_relu, LeakyReluFunctor, LeakyReluGradFunctor); \
__macro(tanh_shrink, TanhShrinkFunctor, TanhShrinkGradFunctor)
#define FOR_EACH_KERNEL_FUNCTOR(__macro) \
__macro(sigmoid, SigmoidFunctor, SigmoidGradFunctor); \
__macro(exp, ExpFunctor, ExpGradFunctor); \
__macro(relu, ReluFunctor, ReluGradFunctor); \
__macro(tanh, TanhFunctor, TanhGradFunctor); \
__macro(sqrt, SqrtFunctor, SqrtGradFunctor); \
__macro(abs, AbsFunctor, AbsGradFunctor); \
__macro(reciprocal, ReciprocalFunctor, ReciprocalGradFunctor); \
__macro(log, LogFunctor, LogGradFunctor); \
__macro(square, SquareFunctor, SquareGradFunctor); \
__macro(brelu, BReluFunctor, BReluGradFunctor); \
__macro(soft_relu, SoftReluFunctor, SoftReluGradFunctor); \
__macro(pow, PowFunctor, PowGradFunctor); \
__macro(stanh, STanhFunctor, STanhGradFunctor); \
__macro(softsign, SoftsignFunctor, SoftsignGradFunctor); \
__macro(leaky_relu, LeakyReluFunctor, LeakyReluGradFunctor); \
__macro(relu6, Relu6Functor, Relu6GradFunctor); \
__macro(tanh_shrink, TanhShrinkFunctor, TanhShrinkGradFunctor); \
__macro(elu, ELUFunctor, ELUGradFunctor)
python/paddle/v2/framework/tests/test_activation_op.py
浏览文件 @
0d017d91
...
...
@@ -181,6 +181,26 @@ class TestSoftRelu(OpTest):
self
.
check_grad
([
'X'
],
'Y'
,
max_relative_error
=
0.02
)
class
TestELU
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"elu"
x
=
np
.
random
.
uniform
(
-
3
,
3
,
[
4
,
4
]).
astype
(
"float32"
)
alpha
=
1.
# Note: unlike other Relu extensions, point 0 on standard ELU function (i.e. alpha = 1)
# is differentiable, so we can skip modifications like x[np.abs(x) < 0.005] = 0.02 here
self
.
inputs
=
{
'X'
:
x
}
self
.
attrs
=
{
'alpha'
:
alpha
}
self
.
outputs
=
{
'Y'
:
np
.
maximum
(
0
,
x
)
+
np
.
minimum
(
0
,
alpha
*
(
np
.
exp
(
x
)
-
1
))
}
def
test_check_output
(
self
):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
'X'
],
'Y'
,
max_relative_error
=
0.02
)
class
TestReciprocal
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"reciprocal"
...
...
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