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体验新版 GitCode,发现更多精彩内容 >>
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提交
0f38bb45
编写于
4月 09, 2018
作者:
K
Kexin Zhao
提交者:
GitHub
4月 09, 2018
浏览文件
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电子邮件补丁
差异文件
add fp16 support to activation op (#9769)
上级
22b9d4e6
变更
5
展开全部
显示空白变更内容
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并排
Showing
5 changed file
with
742 addition
and
150 deletion
+742
-150
paddle/fluid/operators/activation_op.cc
paddle/fluid/operators/activation_op.cc
+0
-11
paddle/fluid/operators/activation_op.cu
paddle/fluid/operators/activation_op.cu
+13
-28
paddle/fluid/operators/activation_op.h
paddle/fluid/operators/activation_op.h
+17
-3
paddle/fluid/platform/float16.h
paddle/fluid/platform/float16.h
+40
-0
python/paddle/fluid/tests/unittests/test_activation_op.py
python/paddle/fluid/tests/unittests/test_activation_op.py
+672
-108
未找到文件。
paddle/fluid/operators/activation_op.cc
浏览文件 @
0f38bb45
...
...
@@ -662,14 +662,3 @@ REGISTER_OP(swish, ops::ActivationOp, ops::SwishOpMaker, swish_grad,
ops::grad_functor<double>>);
FOR_EACH_KERNEL_FUNCTOR
(
REGISTER_ACTIVATION_CPU_KERNEL
);
REGISTER_OP_CPU_KERNEL
(
relu
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CPUDeviceContext
,
ops
::
ReluFunctor
<
float
>>
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CPUDeviceContext
,
ops
::
ReluFunctor
<
double
>>
);
REGISTER_OP_CPU_KERNEL
(
relu_grad
,
ops
::
ActivationGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
ops
::
ReluGradFunctor
<
float
>>
,
ops
::
ActivationGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
ops
::
ReluGradFunctor
<
double
>>
);
paddle/fluid/operators/activation_op.cu
浏览文件 @
0f38bb45
/* Copyright (c) 2016 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.
...
...
@@ -17,31 +14,19 @@ limitations under the License. */
#include "paddle/fluid/platform/float16.h"
namespace
ops
=
paddle
::
operators
;
namespace
plat
=
paddle
::
platform
;
#define REGISTER_ACTIVATION_CUDA_KERNEL(act_type, functor, grad_functor) \
REGISTER_OP_CUDA_KERNEL( \
act_type, ops::ActivationKernel<paddle::platform::CUDADeviceContext, \
ops::functor<float>>, \
ops::ActivationKernel<paddle::platform::CUDADeviceContext, \
ops::functor<double>>); \
act_type, \
ops::ActivationKernel<plat::CUDADeviceContext, ops::functor<float>>, \
ops::ActivationKernel<plat::CUDADeviceContext, ops::functor<double>>, \
ops::ActivationKernel<plat::CUDADeviceContext, \
ops::functor<plat::float16>>); \
REGISTER_OP_CUDA_KERNEL( \
act_type##_grad, \
ops::ActivationGradKernel<paddle::platform::CUDADeviceContext, \
act_type##_grad, ops::ActivationGradKernel<plat::CUDADeviceContext, \
ops::grad_functor<float>>, \
ops::ActivationGradKernel<p
addle::platform::CUDADeviceContext,
\
ops::ActivationGradKernel<p
lat::CUDADeviceContext,
\
ops::grad_functor<double>>);
FOR_EACH_KERNEL_FUNCTOR
(
REGISTER_ACTIVATION_CUDA_KERNEL
);
REGISTER_OP_CUDA_KERNEL
(
relu
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
ReluFunctor
<
float
>>
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
ReluFunctor
<
double
>>
,
ops
::
ActivationKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
ReluFunctor
<
paddle
::
platform
::
float16
>>
);
REGISTER_OP_CUDA_KERNEL
(
relu_grad
,
ops
::
ActivationGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
ReluGradFunctor
<
float
>>
,
ops
::
ActivationGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
ops
::
ReluGradFunctor
<
double
>>
);
paddle/fluid/operators/activation_op.h
浏览文件 @
0f38bb45
/* 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.
...
...
@@ -15,9 +12,11 @@ limitations under the License. */
#pragma once
#include <utility>
#include <vector>
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/detail/safe_ref.h"
#include "paddle/fluid/platform/float16.h"
#ifdef PADDLE_WITH_MKLDNN
#include "paddle/fluid/platform/mkldnn_helper.h"
...
...
@@ -338,11 +337,25 @@ struct Sine {
HOSTDEVICE
T
operator
()(
const
T
&
val
)
const
{
return
sin
(
val
);
}
};
template
<
>
struct
Sine
<
platform
::
float16
>
{
HOSTDEVICE
platform
::
float16
operator
()(
const
platform
::
float16
&
val
)
const
{
return
platform
::
float16
(
sin
(
static_cast
<
float
>
(
val
)));
}
};
template
<
typename
T
>
struct
Cosine
{
HOSTDEVICE
T
operator
()(
const
T
&
val
)
const
{
return
cos
(
val
);
}
};
template
<
>
struct
Cosine
<
platform
::
float16
>
{
HOSTDEVICE
platform
::
float16
operator
()(
const
platform
::
float16
&
val
)
const
{
return
platform
::
float16
(
cos
(
static_cast
<
float
>
(
val
)));
}
};
// cosine'(x) = -sin(x)
template
<
typename
T
>
struct
CosGradFunctor
:
public
BaseActivationFunctor
<
T
>
{
...
...
@@ -826,6 +839,7 @@ struct SwishGradFunctor : public BaseActivationFunctor<T> {
__macro(sigmoid, SigmoidFunctor, SigmoidGradFunctor); \
__macro(logsigmoid, LogSigmoidFunctor, LogSigmoidGradFunctor); \
__macro(exp, ExpFunctor, ExpGradFunctor); \
__macro(relu, ReluFunctor, ReluGradFunctor); \
__macro(tanh, TanhFunctor, TanhGradFunctor); \
__macro(softshrink, SoftShrinkFunctor, SoftShrinkGradFunctor); \
__macro(sqrt, SqrtFunctor, SqrtGradFunctor); \
...
...
paddle/fluid/platform/float16.h
浏览文件 @
0f38bb45
...
...
@@ -1003,6 +1003,46 @@ HOSTDEVICE inline float16 exp(const float16& a) {
return
float16
(
::
expf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
log
(
const
float16
&
a
)
{
return
float16
(
::
logf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
tanh
(
const
float16
&
a
)
{
return
float16
(
::
tanhf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
sqrt
(
const
float16
&
a
)
{
return
float16
(
::
sqrtf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
ceil
(
const
float16
&
a
)
{
return
float16
(
::
ceilf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
floor
(
const
float16
&
a
)
{
return
float16
(
::
floorf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
round
(
const
float16
&
a
)
{
return
float16
(
::
roundf
(
static_cast
<
float
>
(
a
)));
}
template
<
>
HOSTDEVICE
inline
float16
pow
(
const
float16
&
a
,
const
float16
&
b
)
{
return
float16
(
::
powf
(
static_cast
<
float
>
(
a
),
static_cast
<
float
>
(
b
)));
}
template
<
>
HOSTDEVICE
inline
float16
abs
(
const
float16
&
a
)
{
return
float16
(
::
fabs
(
static_cast
<
float
>
(
a
)));
}
}
// namespace numext
}
// namespace Eigen
python/paddle/fluid/tests/unittests/test_activation_op.py
浏览文件 @
0f38bb45
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