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0efcae86
编写于
1月 12, 2022
作者:
Z
Zhang Ting
提交者:
GitHub
1月 12, 2022
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电子邮件补丁
差异文件
[part 3]change type of function args (#38887)
* code clean * [part 3]change type of function args
上级
f1201482
变更
5
显示空白变更内容
内联
并排
Showing
5 changed file
with
44 addition
and
70 deletion
+44
-70
paddle/fluid/operators/controlflow/bitwise_op.h
paddle/fluid/operators/controlflow/bitwise_op.h
+15
-15
paddle/fluid/operators/controlflow/compare_all_op.h
paddle/fluid/operators/controlflow/compare_all_op.h
+1
-1
paddle/fluid/operators/controlflow/compare_op.h
paddle/fluid/operators/controlflow/compare_op.h
+6
-6
paddle/fluid/operators/controlflow/logical_op.cu
paddle/fluid/operators/controlflow/logical_op.cu
+4
-24
paddle/fluid/operators/controlflow/logical_op.h
paddle/fluid/operators/controlflow/logical_op.h
+18
-24
未找到文件。
paddle/fluid/operators/controlflow/bitwise_op.h
浏览文件 @
0efcae86
...
...
@@ -26,13 +26,13 @@ namespace operators {
template <typename T> \
struct Bitwise##func##Functor { \
using ELEM_TYPE = T; \
HOSTDEVICE T operator()(const T
& a, const T&
b) const { return a expr b; } \
HOSTDEVICE T operator()(const T
a, const T
b) const { return a expr b; } \
}; \
\
template <> \
struct Bitwise##func##Functor<bool> { \
using ELEM_TYPE = bool; \
HOSTDEVICE bool operator()(const bool
& a, const bool&
b) const { \
HOSTDEVICE bool operator()(const bool
a, const bool
b) const { \
return a bool_expr b; \
} \
};
...
...
@@ -45,13 +45,13 @@ BITWISE_BINARY_FUNCTOR(Xor, ^, !=)
template
<
typename
T
>
struct
BitwiseNotFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
T
operator
()(
const
T
&
a
)
const
{
return
~
a
;
}
HOSTDEVICE
T
operator
()(
const
T
a
)
const
{
return
~
a
;
}
};
template
<
>
struct
BitwiseNotFunctor
<
bool
>
{
using
ELEM_TYPE
=
bool
;
HOSTDEVICE
bool
operator
()(
const
bool
&
a
)
const
{
return
!
a
;
}
HOSTDEVICE
bool
operator
()(
const
bool
a
)
const
{
return
!
a
;
}
};
template
<
typename
DeviceContext
,
typename
Functor
>
...
...
paddle/fluid/operators/controlflow/compare_all_op.h
浏览文件 @
0efcae86
...
...
@@ -28,7 +28,7 @@ namespace operators {
template
<
typename
T
>
struct
EqualReduceFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
if
(
std
::
is_floating_point
<
T
>::
value
)
{
// This branch will be optimized while compiling if T is integer. It is
// safe to cast a and b to double.
...
...
paddle/fluid/operators/controlflow/compare_op.h
浏览文件 @
0efcae86
...
...
@@ -25,31 +25,31 @@ namespace operators {
template
<
typename
T
>
struct
LessThanFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
<
b
;
}
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
return
a
<
b
;
}
};
template
<
typename
T
>
struct
LessEqualFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
<=
b
;
}
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
return
a
<=
b
;
}
};
template
<
typename
T
>
struct
GreaterThanFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
>
b
;
}
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
return
a
>
b
;
}
};
template
<
typename
T
>
struct
GreaterEqualFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
>=
b
;
}
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
return
a
>=
b
;
}
};
template
<
typename
T
>
struct
EqualFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
if
(
std
::
is_floating_point
<
T
>::
value
)
{
// This branch will be optimized while compiling if T is integer. It is
// safe to cast a and b to double.
...
...
@@ -63,7 +63,7 @@ struct EqualFunctor {
template
<
typename
T
>
struct
NotEqualFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
HOSTDEVICE
bool
operator
()(
const
T
a
,
const
T
b
)
const
{
return
!
EqualFunctor
<
T
>
()(
a
,
b
);
}
};
...
...
paddle/fluid/operators/controlflow/logical_op.cu
浏览文件 @
0efcae86
...
...
@@ -18,26 +18,6 @@ namespace plat = paddle::platform;
namespace
paddle
{
namespace
operators
{
#define LOGICAL_BINARY_FUNCTOR(func_name, op) \
template <typename T> \
struct func_name { \
using ELEMENT_TYPE = T; \
HOSTDEVICE bool operator()(const T* args) const { \
return static_cast<bool>(args[0]) op static_cast<bool>(args[1]); \
} \
};
LOGICAL_BINARY_FUNCTOR
(
CudaOrFunctor
,
||
)
LOGICAL_BINARY_FUNCTOR
(
CudaAndFunctor
,
&&
)
LOGICAL_BINARY_FUNCTOR
(
CudaXorFunctor
,
^
)
#undef LOGICAL_BINARY_FUNCTOR
template
<
typename
T
>
struct
CudaNotFunctor
{
using
ELEMENT_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
*
args
)
const
{
return
!
args
[
0
];
}
};
template
<
typename
Functor
>
class
BinaryLogicalOpKernel
<
platform
::
CUDADeviceContext
,
Functor
>
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEMENT_TYPE
>
{
...
...
@@ -76,8 +56,8 @@ class BinaryLogicalOpKernel<platform::CUDADeviceContext, Functor>
ops::BinaryLogicalOpKernel<plat::CUDADeviceContext, ops::func<float>>, \
ops::BinaryLogicalOpKernel<plat::CUDADeviceContext, ops::func<double>>);
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_or
,
Cuda
OrFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_and
,
Cuda
AndFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_xor
,
Cuda
XorFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_not
,
Cuda
NotFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_or
,
Logical
OrFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_and
,
Logical
AndFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_xor
,
Logical
XorFunctor
)
REGISTER_LOGICAL_CUDA_KERNEL
(
logical_not
,
Logical
NotFunctor
)
#undef REGISTER_LOGICAL_CUDA_KERNEL
paddle/fluid/operators/controlflow/logical_op.h
浏览文件 @
0efcae86
...
...
@@ -19,38 +19,32 @@ limitations under the License. */
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
struct
LogicalAndFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
&&
b
;
}
};
#define LOGICAL_BINARY_FUNCTOR(func_name, op) \
template <typename T> \
struct func_name { \
using ELEMENT_TYPE = T; \
HOSTDEVICE bool operator()(const T a, const T b) const { \
return static_cast<bool>(a) op static_cast<bool>(b); \
} \
};
template
<
typename
T
>
struct
LogicalOrFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
a
||
b
;
}
};
LOGICAL_BINARY_FUNCTOR
(
LogicalOrFunctor
,
||
)
LOGICAL_BINARY_FUNCTOR
(
LogicalAndFunctor
,
&&
)
LOGICAL_BINARY_FUNCTOR
(
LogicalXorFunctor
,
^
)
#undef LOGICAL_BINARY_FUNCTOR
template
<
typename
T
>
struct
LogicalNotFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
)
const
{
return
!
a
;
}
};
template
<
typename
T
>
struct
LogicalXorFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
&
a
,
const
T
&
b
)
const
{
return
(
a
||
b
)
&&
!
(
a
&&
b
);
}
using
ELEMENT_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
a
)
const
{
return
!
a
;
}
};
template
<
typename
DeviceContext
,
typename
Functor
>
class
BinaryLogicalOpKernel
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEM_TYPE
>
{
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEM
ENT
_TYPE
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
using
T
=
typename
Functor
::
ELEM_TYPE
;
using
T
=
typename
Functor
::
ELEM
ENT
_TYPE
;
auto
*
x
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
y
=
context
.
Input
<
framework
::
Tensor
>
(
"Y"
);
auto
*
out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
...
...
@@ -62,10 +56,10 @@ class BinaryLogicalOpKernel
template
<
typename
DeviceContext
,
typename
Functor
>
class
UnaryLogicalOpKernel
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEM_TYPE
>
{
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEM
ENT
_TYPE
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
using
T
=
typename
Functor
::
ELEM_TYPE
;
using
T
=
typename
Functor
::
ELEM
ENT
_TYPE
;
auto
*
x
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
auto
*
out
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
Functor
unary_func
;
...
...
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