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ea1a0d45
编写于
7月 05, 2021
作者:
L
limingshu
提交者:
GitHub
7月 05, 2021
浏览文件
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电子邮件补丁
差异文件
Replace usage of elementwise cuda forward kernel in Compare_all_op (#33754)
上级
4d167240
变更
3
显示空白变更内容
内联
并排
Showing
3 changed file
with
50 addition
and
56 deletion
+50
-56
paddle/fluid/operators/controlflow/compare_all_op.cc
paddle/fluid/operators/controlflow/compare_all_op.cc
+3
-19
paddle/fluid/operators/controlflow/compare_all_op.cu
paddle/fluid/operators/controlflow/compare_all_op.cu
+47
-36
paddle/fluid/operators/controlflow/compare_op.cu
paddle/fluid/operators/controlflow/compare_op.cu
+0
-1
未找到文件。
paddle/fluid/operators/controlflow/compare_all_op.cc
浏览文件 @
ea1a0d45
...
...
@@ -30,29 +30,13 @@ class CompareReduceOpKernel
auto
*
x
=
context
.
Input
<
Tensor
>
(
"X"
);
auto
*
y
=
context
.
Input
<
Tensor
>
(
"Y"
);
auto
*
z
=
context
.
Output
<
Tensor
>
(
"Out"
);
bool
shape_same
=
true
;
Tensor
tmp
;
framework
::
DDim
x_dims
=
x
->
dims
();
framework
::
DDim
y_dims
=
y
->
dims
();
// judge the two inputs shape is same, if not same, just return false
if
(
x_dims
.
size
()
!=
y_dims
.
size
())
{
shape_same
=
false
;
}
else
{
for
(
auto
i
=
0
;
i
<
x_dims
.
size
();
i
++
)
{
if
(
x_dims
[
i
]
!=
y_dims
[
i
])
{
shape_same
=
false
;
break
;
}
}
}
bool
*
z_data
=
z
->
mutable_data
<
bool
>
(
context
.
GetPlace
());
if
(
!
shape_same
)
{
if
(
x
->
dims
()
!=
y
->
dims
())
{
z_data
[
0
]
=
false
;
}
else
{
tmp
.
mutable_data
<
bool
>
(
x
_dims
,
context
.
GetPlace
());
tmp
.
mutable_data
<
bool
>
(
x
->
dims
()
,
context
.
GetPlace
());
if
(
x
->
numel
()
==
1
&&
y
->
numel
()
==
1
)
{
bool
*
z_data
=
tmp
.
mutable_data
<
bool
>
(
context
.
GetPlace
());
z_data
[
0
]
=
Functor
()(
x
->
data
<
T
>
()[
0
],
y
->
data
<
T
>
()[
0
]);
...
...
paddle/fluid/operators/controlflow/compare_all_op.cu
浏览文件 @
ea1a0d45
...
...
@@ -14,14 +14,18 @@ limitations under the License. */
#include <thrust/fill.h>
#include "paddle/fluid/operators/controlflow/compare_all_op.h"
#include "paddle/fluid/operators/elementwise/elementwise_op_impl.cu.h"
#include "paddle/fluid/operators/reduce_ops/cub_reduce.h"
namespace
ops
=
paddle
::
operators
;
namespace
plat
=
paddle
::
platform
;
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
struct
IdentityFunctor
{
HOSTDEVICE
explicit
inline
IdentityFunctor
()
{}
HOSTDEVICE
inline
T
operator
()(
const
T
&
x
)
const
{
return
x
;
}
};
...
...
@@ -33,6 +37,24 @@ struct BitwiseAdd {
return
a
&
b
;
}
};
template
<
typename
T
,
typename
Enable
=
void
>
struct
CudaEqualReduceFunctor
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
args
[])
const
{
return
(
args
[
0
]
==
args
[
1
]);
}
};
template
<
typename
T
>
struct
CudaEqualReduceFunctor
<
T
,
typename
std
::
enable_if
<
std
::
is_floating_point
<
T
>::
value
>::
type
>
{
using
ELEM_TYPE
=
T
;
HOSTDEVICE
bool
operator
()(
const
T
args
[])
const
{
return
fabs
(
static_cast
<
double
>
(
args
[
0
]
-
args
[
1
]))
<
1e-8
;
}
};
template
<
typename
DeviceContext
,
typename
Functor
>
class
CompareReduceOpKernel
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEM_TYPE
>
{
...
...
@@ -44,32 +66,22 @@ class CompareReduceOpKernel
auto
*
x
=
context
.
Input
<
Tensor
>
(
"X"
);
auto
*
y
=
context
.
Input
<
Tensor
>
(
"Y"
);
auto
*
z
=
context
.
Output
<
Tensor
>
(
"Out"
);
bool
shape_same
=
true
;
bool
*
z_data
=
z
->
mutable_data
<
bool
>
(
context
.
GetPlace
());
Tensor
tmp
;
framework
::
DDim
x_dims
=
x
->
dims
();
framework
::
DDim
y_dims
=
y
->
dims
();
if
(
x_dims
.
size
()
!=
y_dims
.
size
())
{
shape_same
=
false
;
}
else
{
for
(
auto
i
=
0
;
i
<
x_dims
.
size
();
i
++
)
{
if
(
x_dims
[
i
]
!=
y_dims
[
i
])
{
shape_same
=
false
;
break
;
}
}
}
bool
*
z_data
=
z
->
mutable_data
<
bool
>
(
context
.
GetPlace
());
if
(
!
shape_same
)
{
if
(
x
->
dims
()
!=
y
->
dims
())
{
thrust
::
device_ptr
<
bool
>
z_dev_ptr
(
z_data
);
thrust
::
fill
(
z_dev_ptr
,
z_dev_ptr
+
1
,
false
);
return
;
}
else
{
tmp
.
mutable_data
<
bool
>
(
x_dims
,
context
.
GetPlace
());
ElementwiseComputeEx
<
Functor
,
DeviceContext
,
T
,
bool
>
(
context
,
x
,
y
,
0
,
Functor
(),
&
tmp
);
tmp
.
mutable_data
<
bool
>
(
x
->
dims
(),
context
.
GetPlace
());
const
auto
&
cuda_ctx
=
context
.
template
device_context
<
platform
::
CUDADeviceContext
>();
std
::
vector
<
const
framework
::
Tensor
*>
ins
=
{
x
,
y
};
std
::
vector
<
framework
::
Tensor
*>
outs
=
{
&
tmp
};
LaunchSameDimsElementwiseCudaKernel
<
ElementwiseType
::
kBinary
,
T
,
bool
>
(
cuda_ctx
,
ins
,
&
outs
,
Functor
());
// Reduce by 'bitwise and' operator
std
::
vector
<
int
>
reduce_dims
;
reduce_dims
.
resize
(
tmp
.
dims
().
size
());
...
...
@@ -87,16 +99,15 @@ class CompareReduceOpKernel
#define REGISTER_COMPARE_REDUCE_CUDA_KERNEL(op_type, functor) \
REGISTER_OP_CUDA_KERNEL( \
op_type, paddle::operators::CompareReduceOpKernel< \
paddle::platform::CUDADeviceContext, functor<bool>>, \
paddle::operators::CompareReduceOpKernel< \
paddle::platform::CUDADeviceContext, functor<int>>, \
paddle::operators::CompareReduceOpKernel< \
paddle::platform::CUDADeviceContext, functor<int64_t>>, \
paddle::operators::CompareReduceOpKernel< \
paddle::platform::CUDADeviceContext, functor<float>>, \
paddle::operators::CompareReduceOpKernel< \
paddle::platform::CUDADeviceContext, functor<double>>);
REGISTER_COMPARE_REDUCE_CUDA_KERNEL
(
equal_all
,
paddle
::
operators
::
EqualReduceFunctor
);
op_type, \
ops::CompareReduceOpKernel<plat::CUDADeviceContext, ops::functor<bool>>, \
ops::CompareReduceOpKernel<plat::CUDADeviceContext, ops::functor<int>>, \
ops::CompareReduceOpKernel<plat::CUDADeviceContext, \
ops::functor<int64_t>>, \
ops::CompareReduceOpKernel<plat::CUDADeviceContext, \
ops::functor<float>>, \
ops::CompareReduceOpKernel<plat::CUDADeviceContext, \
ops::functor<double>>);
REGISTER_COMPARE_REDUCE_CUDA_KERNEL
(
equal_all
,
CudaEqualReduceFunctor
)
#undef REGISTER_COMPARE_REDUCE_CUDA_KERNEL
paddle/fluid/operators/controlflow/compare_op.cu
浏览文件 @
ea1a0d45
...
...
@@ -59,7 +59,6 @@ struct CudaNotEqualFunctor<
template
<
typename
Functor
,
typename
InverseFunctor
>
class
CompareOpKernel
<
platform
::
CUDADeviceContext
,
Functor
,
InverseFunctor
>
:
public
framework
::
OpKernel
<
typename
Functor
::
ELEMENT_TYPE
>
{
public:
public:
using
InT
=
typename
Functor
::
ELEMENT_TYPE
;
using
OutT
=
bool
;
...
...
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