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99895730
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体验新版 GitCode,发现更多精彩内容 >>
提交
99895730
编写于
10月 06, 2017
作者:
Y
Yi Wang
提交者:
GitHub
10月 06, 2017
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差异文件
Merge pull request #4609 from kavyasrinet/tanhshrink
Implementing tanhshrink operator
上级
34193844
154a6ed2
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
49 addition
and
1 deletion
+49
-1
paddle/operators/activation_op.cc
paddle/operators/activation_op.cc
+14
-0
paddle/operators/activation_op.h
paddle/operators/activation_op.h
+20
-1
python/paddle/v2/framework/tests/test_activation_op.py
python/paddle/v2/framework/tests/test_activation_op.py
+15
-0
未找到文件。
paddle/operators/activation_op.cc
浏览文件 @
99895730
...
...
@@ -97,6 +97,17 @@ class TanhOpMaker : public framework::OpProtoAndCheckerMaker {
}
};
class
TanhShrinkOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
TanhShrinkOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
:
OpProtoAndCheckerMaker
(
proto
,
op_checker
)
{
AddInput
(
"X"
,
"Input of TanhShrink operator"
);
AddOutput
(
"Y"
,
"Output of TanhShrink operator"
);
AddComment
(
"TanhShrink activation operator, tanhshrink(x) = x - tanh(x)"
);
}
};
class
SqrtOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
SqrtOpMaker
(
framework
::
OpProto
*
proto
,
framework
::
OpAttrChecker
*
op_checker
)
...
...
@@ -235,6 +246,9 @@ REGISTER_OP(relu, ops::ActivationOp, ops::ReluOpMaker, relu_grad,
REGISTER_OP
(
tanh
,
ops
::
ActivationOp
,
ops
::
TanhOpMaker
,
tanh_grad
,
ops
::
ActivationOpGrad
);
REGISTER_OP
(
tanh_shrink
,
ops
::
ActivationOp
,
ops
::
TanhShrinkOpMaker
,
tanh_shrink_grad
,
ops
::
ActivationOpGrad
);
REGISTER_OP
(
sqrt
,
ops
::
ActivationOp
,
ops
::
SqrtOpMaker
,
sqrt_grad
,
ops
::
ActivationOpGrad
);
...
...
paddle/operators/activation_op.h
浏览文件 @
99895730
...
...
@@ -146,6 +146,24 @@ struct TanhGradFunctor : public BaseActivationFunctor<T> {
}
};
// tanhshrink(x) = x - tanh(x)
// where tanh(x) = (exp(x) - exp(-x)) / (exp(x) + exp(-x))
template
<
typename
T
>
struct
TanhShrinkFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
,
typename
X
,
typename
Y
>
void
operator
()(
Device
d
,
X
x
,
Y
y
)
const
{
y
.
device
(
d
)
=
x
-
x
.
tanh
();
}
};
template
<
typename
T
>
struct
TanhShrinkGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
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
.
tanh
()
*
x
.
tanh
());
}
};
// sqrt(x) = x^(1/2)
template
<
typename
T
>
struct
SqrtFunctor
:
public
BaseActivationFunctor
<
T
>
{
...
...
@@ -407,4 +425,5 @@ struct STanhGradFunctor : public BaseActivationFunctor<T> {
__macro(pow, PowFunctor, PowGradFunctor); \
__macro(stanh, STanhFunctor, STanhGradFunctor); \
__macro(softsign, SoftsignFunctor, SoftsignGradFunctor); \
__macro(leaky_relu, LeakyReluFunctor, LeakyReluGradFunctor)
__macro(leaky_relu, LeakyReluFunctor, LeakyReluGradFunctor); \
__macro(tanh_shrink, TanhShrinkFunctor, TanhShrinkGradFunctor)
python/paddle/v2/framework/tests/test_activation_op.py
浏览文件 @
99895730
...
...
@@ -48,6 +48,21 @@ class TestTanh(OpTest):
self
.
check_grad
([
'X'
],
'Y'
,
max_relative_error
=
0.007
)
class
TestTanhShrink
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"tanh_shrink"
self
.
inputs
=
{
'X'
:
np
.
random
.
uniform
(
0.1
,
1
,
[
10
,
17
]).
astype
(
"float32"
)
}
self
.
outputs
=
{
'Y'
:
self
.
inputs
[
'X'
]
-
np
.
tanh
(
self
.
inputs
[
'X'
])}
def
test_check_output
(
self
):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
'X'
],
'Y'
,
max_relative_error
=
0.008
)
class
TestSqrt
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"sqrt"
...
...
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