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5634d2ca
编写于
9月 27, 2020
作者:
Z
Zhong Hui
提交者:
GitHub
9月 27, 2020
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差异文件
[cherry pick] double grad support for abs
double grad support for abs
上级
b19a5979
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
97 addition
and
4 deletion
+97
-4
paddle/fluid/operators/activation_op.cc
paddle/fluid/operators/activation_op.cc
+39
-3
paddle/fluid/operators/activation_op.cu
paddle/fluid/operators/activation_op.cu
+13
-1
paddle/fluid/operators/activation_op.h
paddle/fluid/operators/activation_op.h
+21
-0
python/paddle/fluid/tests/unittests/test_activation_nn_grad.py
...n/paddle/fluid/tests/unittests/test_activation_nn_grad.py
+24
-0
未找到文件。
paddle/fluid/operators/activation_op.cc
浏览文件 @
5634d2ca
...
...
@@ -711,10 +711,28 @@ class ActivationOpDoubleGrad2 : public framework::OperatorWithKernel {
}
};
//
// AbsGrad: dx=dy if x >=0 else -dy
// AbsDoubleGrad: ddy = ddx if x >=0 else -ddx
template
<
typename
T
>
class
AbsDoubleGradMaker
:
public
::
paddle
::
framework
::
SingleGradOpMaker
<
T
>
{
public:
using
::
paddle
::
framework
::
SingleGradOpMaker
<
T
>::
SingleGradOpMaker
;
protected:
void
Apply
(
GradOpPtr
<
T
>
op
)
const
override
{
op
->
SetType
(
"abs_grad_grad"
);
// input1: x
op
->
SetInput
(
"X"
,
this
->
Input
(
"X"
));
// input2: ddx
op
->
SetInput
(
"DDX"
,
this
->
OutputGrad
(
framework
::
GradVarName
(
"X"
)));
op
->
SetAttrMap
(
this
->
Attrs
());
// output: ddy
op
->
SetOutput
(
"DDOut"
,
this
->
InputGrad
(
framework
::
GradVarName
(
"Out"
)));
}
};
// ReluGrad: dx = dy if y >= 0 else 0
// ReluGradGrad: ddy = ddx if y >= 0 else 0
//
template
<
typename
T
>
class
ReluDoubleGradMaker
:
public
::
paddle
::
framework
::
SingleGradOpMaker
<
T
>
{
public:
...
...
@@ -1162,7 +1180,13 @@ REGISTER_OPERATOR(
std
::
conditional
<
ops
::
CanInplaceAct
<
ops
::
AbsGradFunctor
<
float
>>
(),
ops
::
ActFwdInplaceInferer
,
void
>::
type
);
REGISTER_OPERATOR
(
abs_grad
,
ops
::
ActivationOpGrad
,
ops
::
ActivationGradOpInplaceInference
);
ops
::
ActivationGradOpInplaceInference
,
ops
::
AbsDoubleGradMaker
<
paddle
::
framework
::
OpDesc
>
,
ops
::
AbsDoubleGradMaker
<
paddle
::
imperative
::
OpBase
>
);
REGISTER_OPERATOR
(
abs_grad_grad
,
ops
::
ActivationOpDoubleGrad
<
ops
::
AbsGradGradFunctor
<
float
>::
FwdDeps
()
>
,
ops
::
ActivationDoubleGradOpInplaceInference
);
REGISTER_OP_CPU_KERNEL
(
abs
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CPUDeviceContext
,
...
...
@@ -1182,4 +1206,16 @@ REGISTER_OP_CPU_KERNEL(
ops
::
AbsGradFunctor
<
int
>>
,
ops
::
ActivationGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
ops
::
AbsGradFunctor
<
int64_t
>>
);
REGISTER_OP_CPU_KERNEL
(
abs_grad_grad
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CPUDeviceContext
,
ops
::
AbsGradGradFunctor
<
float
>>
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CPUDeviceContext
,
ops
::
AbsGradGradFunctor
<
double
>>
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CPUDeviceContext
,
ops
::
AbsGradGradFunctor
<
plat
::
float16
>>
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CPUDeviceContext
,
ops
::
AbsGradGradFunctor
<
int
>>
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CPUDeviceContext
,
ops
::
AbsGradGradFunctor
<
int64_t
>>
);
/* ========================================================================== */
paddle/fluid/operators/activation_op.cu
浏览文件 @
5634d2ca
...
...
@@ -160,7 +160,7 @@ REGISTER_OP_CUDA_KERNEL(
ops
::
ExpGradFunctor
<
plat
::
float16
>>
);
/* ========================================================================== */
/* ==========================
exp
register ============================ */
/* ==========================
abs
register ============================ */
REGISTER_OP_CUDA_KERNEL
(
abs
,
ops
::
ActivationKernel
<
plat
::
CUDADeviceContext
,
ops
::
AbsFunctor
<
float
>>
,
...
...
@@ -180,4 +180,16 @@ REGISTER_OP_CUDA_KERNEL(
ops
::
AbsGradFunctor
<
int64_t
>>
,
ops
::
ActivationGradKernel
<
plat
::
CUDADeviceContext
,
ops
::
AbsGradFunctor
<
plat
::
float16
>>
);
REGISTER_OP_CUDA_KERNEL
(
abs_grad_grad
,
ops
::
ActivationDoubleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
AbsGradGradFunctor
<
float
>>
,
ops
::
ActivationDoubleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
AbsGradGradFunctor
<
double
>>
,
ops
::
ActivationDoubleGradKernel
<
plat
::
CUDADeviceContext
,
ops
::
AbsGradGradFunctor
<
plat
::
float16
>>
,
ops
::
ActivationDoubleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
AbsGradGradFunctor
<
int
>>
,
ops
::
ActivationDoubleGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
AbsGradGradFunctor
<
int64_t
>>
);
/* ========================================================================== */
paddle/fluid/operators/activation_op.h
浏览文件 @
5634d2ca
...
...
@@ -1318,6 +1318,27 @@ class ActivationDoubleGradKernel
}
};
template
<
typename
T
>
struct
AbsGradGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
>
void
operator
()(
const
Device
&
dev
,
const
framework
::
Tensor
*
X
,
const
framework
::
Tensor
*
Out
,
const
framework
::
Tensor
*
ddX
,
framework
::
Tensor
*
ddOut
,
framework
::
Tensor
*
dOut
,
framework
::
Tensor
*
dX
)
const
{
auto
*
d
=
dev
.
eigen_device
();
auto
ddx
=
framework
::
EigenVector
<
T
>::
Flatten
(
GET_DATA_SAFELY
(
ddX
,
"Input"
,
"DDX"
,
"AbsGradGrad"
));
auto
x
=
framework
::
EigenVector
<
T
>::
Flatten
(
GET_DATA_SAFELY
(
X
,
"Input"
,
"X"
,
"AbsGradGrad"
));
if
(
ddOut
)
{
auto
ddout
=
framework
::
EigenVector
<
T
>::
Flatten
(
GET_DATA_SAFELY
(
ddOut
,
"Output"
,
"DDOut"
,
"AbsGradGrad"
));
ddout
.
device
(
*
d
)
=
ddx
*
x
.
sign
();
}
}
static
constexpr
ActBwdOpFwdDeps
FwdDeps
()
{
return
kDepX
;
}
};
template
<
typename
T
>
struct
ReluGradGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
template
<
typename
Device
>
...
...
python/paddle/fluid/tests/unittests/test_activation_nn_grad.py
浏览文件 @
5634d2ca
...
...
@@ -147,5 +147,29 @@ class TestSquareDoubleGradCheck(unittest.TestCase):
self
.
func
(
p
)
class
TestAbsDoubleGradCheck
(
unittest
.
TestCase
):
@
prog_scope
()
def
func
(
self
,
place
):
# the shape of input variable should be clearly specified, not inlcude -1.
shape
=
[
2
,
3
,
7
,
9
]
eps
=
1e-6
dtype
=
np
.
float64
x
=
layers
.
data
(
'x'
,
shape
,
False
,
dtype
)
x
.
persistable
=
True
y
=
layers
.
abs
(
x
)
x_arr
=
np
.
random
.
uniform
(
-
1
,
1
,
shape
).
astype
(
dtype
)
gradient_checker
.
double_grad_check
(
[
x
],
y
,
x_init
=
x_arr
,
place
=
place
,
eps
=
eps
)
def
test_grad
(
self
):
places
=
[
fluid
.
CPUPlace
()]
if
core
.
is_compiled_with_cuda
():
places
.
append
(
fluid
.
CUDAPlace
(
0
))
for
p
in
places
:
self
.
func
(
p
)
if
__name__
==
"__main__"
:
unittest
.
main
()
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