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体验新版 GitCode,发现更多精彩内容 >>
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5bd1e73f
编写于
12月 05, 2017
作者:
D
dangqingqing
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Refine and speedup momentum operator.
上级
8ed8a935
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
70 addition
and
13 deletion
+70
-13
paddle/operators/momentum_op.cc
paddle/operators/momentum_op.cc
+2
-2
paddle/operators/momentum_op.cu
paddle/operators/momentum_op.cu
+62
-4
paddle/operators/momentum_op.h
paddle/operators/momentum_op.h
+6
-7
未找到文件。
paddle/operators/momentum_op.cc
浏览文件 @
5bd1e73f
...
...
@@ -101,5 +101,5 @@ $$
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_WITHOUT_GRADIENT
(
momentum
,
ops
::
MomentumOp
,
ops
::
MomentumOpMaker
);
REGISTER_OP_CPU_KERNEL
(
momentum
,
ops
::
MomentumOpKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
REGISTER_OP_CPU_KERNEL
(
momentum
,
ops
::
MomentumOpKernel
<
float
>
,
ops
::
MomentumOpKernel
<
double
>
);
paddle/operators/momentum_op.cu
浏览文件 @
5bd1e73f
...
...
@@ -12,9 +12,67 @@
See the License for the specific language governing permissions and
limitations under the License. */
#define EIGEN_USE_GPU
#include "paddle/operators/momentum_op.h"
#include "paddle/framework/op_registry.h"
namespace
paddle
{
namespace
operators
{
template
<
typename
T
>
__global__
void
MomentumKernel
(
const
T
*
p
,
const
T
*
g
,
const
T
*
v
,
const
T
*
learning_rate
,
const
T
mu
,
const
int64_t
num
,
bool
use_nesterov
,
T
*
p_out
,
T
*
v_out
)
{
T
lr
=
learning_rate
[
0
];
if
(
use_nesterov
)
{
for
(
int
i
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
i
<
num
;
i
+=
blockDim
.
x
*
gridDim
.
x
)
{
T
g_val
=
g
[
i
];
T
v_new
=
v
[
i
]
*
mu
+
g_val
;
v_out
[
i
]
=
v_new
;
p_out
[
i
]
=
p
[
i
]
-
g_val
*
lr
+
v_new
*
mu
*
lr
;
}
}
else
{
for
(
int
i
=
blockIdx
.
x
*
blockDim
.
x
+
threadIdx
.
x
;
i
<
num
;
i
+=
blockDim
.
x
*
gridDim
.
x
)
{
T
v_new
=
v
[
i
]
*
mu
+
g
[
i
];
v_out
[
i
]
=
v_new
;
p_out
[
i
]
=
p
[
i
]
-
lr
*
v_new
;
}
}
}
template
<
typename
T
>
class
MomentumOpCUDAKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
auto
param_out
=
ctx
.
Output
<
framework
::
Tensor
>
(
"ParamOut"
);
auto
velocity_out
=
ctx
.
Output
<
framework
::
Tensor
>
(
"VelocityOut"
);
auto
param
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Param"
);
auto
velocity
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Velocity"
);
auto
grad
=
ctx
.
Input
<
framework
::
Tensor
>
(
"Grad"
);
auto
learning_rate
=
ctx
.
Input
<
framework
::
Tensor
>
(
"LearningRate"
);
T
*
p_out
=
param_out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
T
*
v_out
=
velocity_out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
T
mu
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"mu"
));
bool
use_nesterov
=
ctx
.
Attr
<
bool
>
(
"use_nesterov"
);
auto
*
p
=
param
->
data
<
T
>
();
auto
*
v
=
velocity
->
data
<
T
>
();
auto
*
g
=
grad
->
data
<
T
>
();
auto
*
lr
=
learning_rate
->
data
<
T
>
();
int
block
=
512
;
int
grid
=
(
param
->
numel
()
+
block
-
1
)
/
block
;
MomentumKernel
<
T
><<<
grid
,
block
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
p
,
g
,
v
,
lr
,
mu
,
param
->
numel
(),
use_nesterov
,
p_out
,
v_out
);
}
};
}
// namespace operators
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
momentum
,
ops
::
MomentumOpKernel
<
paddle
::
platform
::
GPUPlace
,
float
>
);
REGISTER_OP_GPU_KERNEL
(
momentum
,
ops
::
MomentumOpCUDAKernel
<
float
>
,
ops
::
MomentumOpCUDAKernel
<
double
>
);
paddle/operators/momentum_op.h
浏览文件 @
5bd1e73f
...
...
@@ -19,7 +19,7 @@ limitations under the License. */
namespace
paddle
{
namespace
operators
{
template
<
typename
Place
,
typename
T
>
template
<
typename
T
>
class
MomentumOpKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
...
...
@@ -33,7 +33,7 @@ class MomentumOpKernel : public framework::OpKernel<T> {
param_out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
velocity_out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
float
mu
=
ctx
.
Attr
<
float
>
(
"mu"
);
T
mu
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"mu"
)
);
bool
use_nesterov
=
ctx
.
Attr
<
bool
>
(
"use_nesterov"
);
auto
p_out
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
param_out
);
...
...
@@ -42,18 +42,17 @@ class MomentumOpKernel : public framework::OpKernel<T> {
auto
p
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
param
);
auto
v
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
velocity
);
auto
g
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
grad
);
auto
lr
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
learning_rate
);
auto
*
lr
=
learning_rate
->
data
<
T
>
(
);
auto
place
=
ctx
.
GetEigenDevice
<
Place
>
();
auto
place
=
ctx
.
GetEigenDevice
<
platform
::
CPU
Place
>
();
Eigen
::
DSizes
<
int
,
1
>
grad_dsize
(
grad
->
numel
());
v_out
.
device
(
place
)
=
v
*
mu
+
g
;
if
(
use_nesterov
)
{
p_out
.
device
(
place
)
=
p
-
g
*
lr
.
broadcast
(
grad_dsize
)
+
v_out
*
mu
*
lr
.
broadcast
(
grad_dsize
);
p_out
.
device
(
place
)
=
p
-
(
g
-
v_out
*
mu
)
*
lr
[
0
];
}
else
{
p_out
.
device
(
place
)
=
p
-
lr
.
broadcast
(
grad_dsize
)
*
v_out
;
p_out
.
device
(
place
)
=
p
-
lr
[
0
]
*
v_out
;
}
}
};
...
...
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