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体验新版 GitCode,发现更多精彩内容 >>
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43a3af86
编写于
9月 27, 2018
作者:
C
chengduo
提交者:
GitHub
9月 27, 2018
浏览文件
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电子邮件补丁
差异文件
refine sgd_op (#13626)
test=develop
上级
adae0a3b
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
21 addition
and
20 deletion
+21
-20
paddle/fluid/operators/sgd_op.cu
paddle/fluid/operators/sgd_op.cu
+21
-20
未找到文件。
paddle/fluid/operators/sgd_op.cu
浏览文件 @
43a3af86
...
...
@@ -12,7 +12,7 @@ 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. */
#
define EIGEN_USE_GPU
#
include <algorithm>
#include "paddle/fluid/operators/sgd_op.h"
#include "paddle/fluid/platform/cuda_primitives.h"
...
...
@@ -33,22 +33,21 @@ __global__ void SGDKernel(const T* g, const T* p, const T* learning_rate,
}
}
template
<
typename
T
,
int
block_size
>
template
<
typename
T
>
__global__
void
SparseSGDFunctorKernel
(
const
T
*
selected_rows
,
const
int64_t
*
rows
,
const
T
*
learning_rate
,
T
*
tensor_out
,
int64_t
row_numel
)
{
const
int
ty
=
blockIdx
.
y
;
int
tid
=
threadIdx
.
x
;
selected_rows
+=
ty
*
row_numel
;
tensor_out
+=
rows
[
ty
]
*
row_numel
;
for
(
int
index
=
tid
;
index
<
row_numel
;
index
+=
block_size
)
{
// Since index in rows of SelectedRows can be duplicate, we have to use
// Atomic Operation to avoid concurrent write error.
paddle
::
platform
::
CudaAtomicAdd
(
tensor_out
+
index
,
-
1.0
*
learning_rate
[
0
]
*
selected_rows
[
index
]);
int64_t
row_numel
,
int64_t
limit
)
{
for
(
int64_t
i
=
blockIdx
.
x
;
i
<
limit
;
i
+=
gridDim
.
x
)
{
const
T
*
selected_rows_ptr
=
selected_rows
+
i
*
row_numel
;
T
*
tensor_out_ptr
=
tensor_out
+
rows
[
i
]
*
row_numel
;
for
(
int64_t
index
=
threadIdx
.
x
;
index
<
row_numel
;
index
+=
blockDim
.
x
)
{
// Since index in rows of SelectedRows can be duplicate, we have to use
// Atomic Operation to avoid concurrent write error.
paddle
::
platform
::
CudaAtomicAdd
(
tensor_out_ptr
+
index
,
-
1.0
*
learning_rate
[
0
]
*
selected_rows_ptr
[
index
]);
}
}
}
}
// namespace
...
...
@@ -97,13 +96,15 @@ class SGDOpCUDAKernel : public framework::OpKernel<T> {
auto
*
in_data
=
in_value
.
data
<
T
>
();
auto
*
out_data
=
param_out
->
data
<
T
>
();
const
int
block_size
=
256
;
dim3
threads
(
block_size
,
1
);
dim3
grid
(
1
,
in_rows
.
size
());
SparseSGDFunctorKernel
<
T
,
256
><<<
grid
,
threads
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
const
int
kThreadsPerBlock
=
256
;
int
thread_x
=
kThreadsPerBlock
;
int
max_threads
=
ctx
.
cuda_device_context
().
GetMaxPhysicalThreadCount
();
int
max_blocks
=
std
::
max
(
max_threads
/
kThreadsPerBlock
,
1
);
SparseSGDFunctorKernel
<<<
max_blocks
,
thread_x
,
0
,
ctx
.
cuda_device_context
().
stream
()
>>>
(
in_data
,
in_rows
.
CUDAData
(
ctx
.
GetPlace
()),
learning_rate
->
data
<
T
>
(),
out_data
,
in_row_numel
);
out_data
,
in_row_numel
,
in_rows
.
size
()
);
}
else
{
PADDLE_THROW
(
"Unsupported Variable Type of Grad"
);
...
...
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