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体验新版 GitCode,发现更多精彩内容 >>
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f332f589
编写于
12月 19, 2018
作者:
T
tensor-tang
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电子邮件补丁
差异文件
add more impls of sigmoid and vtanh
上级
ea259c63
变更
4
显示空白变更内容
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4 changed file
with
151 addition
and
0 deletion
+151
-0
paddle/fluid/operators/jit/more/CMakeLists.txt
paddle/fluid/operators/jit/more/CMakeLists.txt
+3
-0
paddle/fluid/operators/jit/more/mix/CMakeLists.txt
paddle/fluid/operators/jit/more/mix/CMakeLists.txt
+9
-0
paddle/fluid/operators/jit/more/mix/mix.cc
paddle/fluid/operators/jit/more/mix/mix.cc
+89
-0
paddle/fluid/operators/jit/more/mix/mix.h
paddle/fluid/operators/jit/more/mix/mix.h
+50
-0
未找到文件。
paddle/fluid/operators/jit/more/CMakeLists.txt
浏览文件 @
f332f589
...
...
@@ -11,4 +11,7 @@ if(WITH_AVX)
add_subdirectory
(
intrinsic
)
endif
()
# mix should be last
add_subdirectory
(
mix
)
set
(
JIT_KERNEL_DEPS
${
JIT_KERNEL_DEPS
}
PARENT_SCOPE
)
paddle/fluid/operators/jit/more/mix/CMakeLists.txt
0 → 100644
浏览文件 @
f332f589
file
(
GLOB jit_kernel_mix_cc RELATIVE
"
${
CMAKE_CURRENT_SOURCE_DIR
}
"
"*.cc"
)
cc_library
(
jit_kernel_mix SRCS
${
jit_kernel_mix_cc
}
DEPS jit_kernel_base
)
set
(
JIT_KERNEL_DEPS
${
JIT_KERNEL_DEPS
}
jit_kernel_mix PARENT_SCOPE
)
USE_JITKERNEL_MORE
(
vsigmoid, mix
)
USE_JITKERNEL_MORE
(
vtanh, mix
)
paddle/fluid/operators/jit/more/mix/mix.cc
0 → 100644
浏览文件 @
f332f589
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License. */
#include "paddle/fluid/operators/jit/more/mix/mix.h"
#include "paddle/fluid/operators/jit/kernels.h"
#include "paddle/fluid/operators/jit/registry.h"
#include "paddle/fluid/platform/cpu_info.h"
namespace
paddle
{
namespace
operators
{
namespace
jit
{
namespace
more
{
namespace
mix
{
template
<
typename
T
>
void
VSigmoid
(
const
T
*
x
,
T
*
y
,
int
n
)
{
const
float
min
=
SIGMOID_THRESHOLD_MIN
;
const
float
max
=
SIGMOID_THRESHOLD_MAX
;
for
(
int
i
=
0
;
i
<
n
;
++
i
)
{
y
[
i
]
=
(
x
[
i
]
<
min
)
?
min
:
((
x
[
i
]
>
max
)
?
max
:
x
[
i
]);
y
[
i
]
=
static_cast
<
T
>
(
0
)
-
y
[
i
];
}
auto
compute
=
Get
<
KernelType
::
vexp
,
XYNTuples
<
T
>
,
platform
::
CPUPlace
>
(
n
);
compute
(
y
,
y
,
n
);
for
(
int
i
=
0
;
i
<
n
;
++
i
)
{
y
[
i
]
=
static_cast
<
T
>
(
1
)
/
(
static_cast
<
T
>
(
1
)
+
y
[
i
]);
}
}
template
<
typename
T
>
void
VTanh
(
const
T
*
x
,
T
*
y
,
int
n
)
{
const
T
a
=
2
,
b
=
-
1
;
auto
compute_scal
=
Get
<
vscal
,
AXYNTuples
<
T
>
,
platform
::
CPUPlace
>
(
n
);
auto
compute_addbias
=
Get
<
vaddbias
,
AXYNTuples
<
T
>
,
platform
::
CPUPlace
>
(
n
);
auto
compute_sigmoid
=
Get
<
vsigmoid
,
XYNTuples
<
T
>
,
platform
::
CPUPlace
>
(
n
);
compute_scal
(
&
a
,
x
,
y
,
n
);
compute_sigmoid
(
y
,
y
,
n
);
compute_scal
(
&
a
,
y
,
y
,
n
);
compute_addbias
(
&
b
,
y
,
y
,
n
);
}
template
<
>
bool
VSigmoidKernel
<
float
>::
UseMe
(
int
d
)
const
{
return
true
;
}
template
<
>
bool
VTanhKernel
<
float
>::
UseMe
(
int
d
)
const
{
return
true
;
}
#define AWALYS_USE_ME_WITH_DOUBLE(func) \
template <> \
bool func##Kernel<double>::UseMe(int d) const { \
return true; \
}
AWALYS_USE_ME_WITH_DOUBLE
(
VSigmoid
);
AWALYS_USE_ME_WITH_DOUBLE
(
VTanh
);
#undef AWALYS_USE_ME_WITH_DOUBLE
}
// namespace mix
}
// namespace more
}
// namespace jit
}
// namespace operators
}
// namespace paddle
namespace
mix
=
paddle
::
operators
::
jit
::
more
::
mix
;
#define REGISTER_MORE_KERNEL(key, func) \
REGISTER_JITKERNEL_MORE(key, mix, mix::func##Kernel<float>, \
mix::func##Kernel<double>)
REGISTER_MORE_KERNEL
(
vsigmoid
,
VSigmoid
);
REGISTER_MORE_KERNEL
(
vtanh
,
VTanh
);
#undef REGISTER_MORE_KERNEL
paddle/fluid/operators/jit/more/mix/mix.h
0 → 100644
浏览文件 @
f332f589
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License. */
#pragma once
#include <type_traits>
#include "paddle/fluid/operators/jit/kernel_base.h"
namespace
paddle
{
namespace
operators
{
namespace
jit
{
namespace
more
{
namespace
mix
{
template
<
typename
T
>
void
VSigmoid
(
const
T
*
x
,
T
*
y
,
int
n
);
template
<
typename
T
>
void
VTanh
(
const
T
*
x
,
T
*
y
,
int
n
);
#define DECLARE_MORE_KERNEL(name, tuples) \
template <typename T> \
class name##Kernel : public KernelImpl<tuples<T>> { \
public: \
name##Kernel() { this->func = name<T>; } \
bool UseMe(typename tuples<T>::attr_type) const override; \
}
// XYN
DECLARE_MORE_KERNEL
(
VSigmoid
,
XYNTuples
);
DECLARE_MORE_KERNEL
(
VTanh
,
XYNTuples
);
#undef DECLARE_MORE_KERNEL
}
// namespace mix
}
// namespace more
}
// namespace jit
}
// namespace operators
}
// namespace paddle
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