Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
wmsofts
Paddle
提交
af692c91
P
Paddle
项目概览
wmsofts
/
Paddle
与 Fork 源项目一致
Fork自
PaddlePaddle / Paddle
通知
1
Star
0
Fork
0
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
0
列表
看板
标记
里程碑
合并请求
0
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
0
Issue
0
列表
看板
标记
里程碑
合并请求
0
合并请求
0
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
提交
af692c91
编写于
9月 05, 2019
作者:
L
Leo Chen
提交者:
Zeng Jinle
9月 05, 2019
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
update reduce_sum and reduce_mean to save memory, test=develop (#19608)
上级
e3e98ed6
变更
7
显示空白变更内容
内联
并排
Showing
7 changed file
with
106 addition
and
43 deletion
+106
-43
paddle/fluid/op_use_default_grad_op_maker.spec
paddle/fluid/op_use_default_grad_op_maker.spec
+0
-1
paddle/fluid/operators/reduce_ops/reduce_mean_op.cc
paddle/fluid/operators/reduce_ops/reduce_mean_op.cc
+14
-10
paddle/fluid/operators/reduce_ops/reduce_mean_op.part.cu
paddle/fluid/operators/reduce_ops/reduce_mean_op.part.cu
+9
-9
paddle/fluid/operators/reduce_ops/reduce_op.h
paddle/fluid/operators/reduce_ops/reduce_op.h
+21
-1
paddle/fluid/operators/reduce_ops/reduce_sum_op.cc
paddle/fluid/operators/reduce_ops/reduce_sum_op.cc
+50
-11
paddle/fluid/operators/reduce_ops/reduce_sum_op.h
paddle/fluid/operators/reduce_ops/reduce_sum_op.h
+3
-2
paddle/fluid/operators/reduce_ops/reduce_sum_op.part.cu
paddle/fluid/operators/reduce_ops/reduce_sum_op.part.cu
+9
-9
未找到文件。
paddle/fluid/op_use_default_grad_op_maker.spec
浏览文件 @
af692c91
...
...
@@ -20,7 +20,6 @@ rank_loss
reduce_max
reduce_min
reduce_prod
reduce_sum
reshape
rnn_memory_helper
sequence_softmax
...
...
paddle/fluid/operators/reduce_ops/reduce_mean_op.cc
浏览文件 @
af692c91
...
...
@@ -61,6 +61,8 @@ class ReduceMeanDoubleGradMaker : public framework::GradOpDescMakerBase {
}
};
DECLARE_NO_NEED_BUFFER_VARS_INFERENCE
(
ReduceMeanGradNoNeedBufferVarInference
,
"X"
);
}
// namespace operators
}
// namespace paddle
...
...
@@ -73,7 +75,8 @@ class __reduce_meanMaker__ : public ops::ReduceOpMaker {
REGISTER_OPERATOR
(
reduce_mean
,
ops
::
ReduceOp
,
__reduce_meanMaker__
,
ops
::
ReduceMeanOpGradDescMaker
);
REGISTER_OPERATOR
(
reduce_mean_grad
,
ops
::
ReduceGradOp
,
ops
::
ReduceMeanDoubleGradMaker
);
ops
::
ReduceMeanDoubleGradMaker
,
ops
::
ReduceMeanGradNoNeedBufferVarInference
);
REGISTER_OP_CPU_KERNEL
(
reduce_mean
,
ops
::
ReduceKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
ops
::
MeanFunctor
>
,
...
...
@@ -83,12 +86,13 @@ REGISTER_OP_CPU_KERNEL(reduce_mean,
int
,
ops
::
MeanFunctor
>
,
ops
::
ReduceKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
ops
::
MeanFunctor
>
);
REGISTER_OP_CPU_KERNEL
(
reduce_mean_grad
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
ops
::
MeanGradFunctor
>
);
template
<
typename
T
>
using
CPUReduceMeanGradKernel
=
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
T
,
ops
::
MeanGradFunctor
,
true
>
;
REGISTER_OP_CPU_KERNEL
(
reduce_mean_grad
,
CPUReduceMeanGradKernel
<
float
>
,
CPUReduceMeanGradKernel
<
double
>
,
CPUReduceMeanGradKernel
<
int
>
,
CPUReduceMeanGradKernel
<
int64_t
>
);
paddle/fluid/operators/reduce_ops/reduce_mean_op.part.cu
浏览文件 @
af692c91
...
...
@@ -15,12 +15,12 @@
// .part used to speed up nvcc compile
#include "paddle/fluid/operators/reduce_ops/reduce_mean_op.h"
REGISTER_OP_CUDA_KERNEL
(
reduce_mean_grad
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int
,
ops
::
MeanGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
,
ops
::
MeanGradFunctor
>
);
template
<
typename
T
>
using
CUDAReduceMeanGradKernel
=
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
T
,
ops
::
MeanGradFunctor
,
true
>
;
REGISTER_OP_CUDA_KERNEL
(
reduce_mean_grad
,
CUDAReduceMeanGradKernel
<
float
>
,
CUDAReduceMeanGradKernel
<
double
>
,
CUDAReduceMeanGradKernel
<
int
>
,
CUDAReduceMeanGradKernel
<
int64_t
>
);
paddle/fluid/operators/reduce_ops/reduce_op.h
浏览文件 @
af692c91
...
...
@@ -75,7 +75,8 @@ class ReduceKernel : public framework::OpKernel<T> {
}
};
template
<
typename
DeviceContext
,
typename
T
,
typename
Functor
>
template
<
typename
DeviceContext
,
typename
T
,
typename
Functor
,
bool
kNoNeedBufferX
=
false
,
bool
kNoNeedBufferY
=
false
>
class
ReduceGradKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
...
...
@@ -88,6 +89,17 @@ class ReduceGradKernel : public framework::OpKernel<T> {
auto
*
output
=
context
.
Output
<
Tensor
>
(
framework
::
GradVarName
(
"X"
));
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
// NOTE: EigenTensor::From() uses tensor->data()
// if op has NoNeedBufferVarsInferer, the corresponding kNoNeedBufferX or
// kNoNeedBufferY should set true
// and use fake var that has same dims.
if
(
kNoNeedBufferX
)
{
input0
=
output
;
}
if
(
kNoNeedBufferY
)
{
input1
=
input2
;
}
// NOTE(dengkaipeng): Out is unnecessary in some reduce kernel and
// not be set as Input in grad Maker, use Out_grad to replace here
if
(
!
input1
)
input1
=
input2
;
...
...
@@ -220,6 +232,14 @@ class ReduceGradOp : public framework::OperatorWithKernel {
ctx
->
ShareLoD
(
"X"
,
/*->*/
x_grad_name
);
}
}
protected:
framework
::
OpKernelType
GetExpectedKernelType
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
return
framework
::
OpKernelType
(
ctx
.
Input
<
Tensor
>
(
framework
::
GradVarName
(
"Out"
))
->
type
(),
ctx
.
GetPlace
());
}
};
class
ReduceOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
...
...
paddle/fluid/operators/reduce_ops/reduce_sum_op.cc
浏览文件 @
af692c91
...
...
@@ -13,8 +13,47 @@
// limitations under the License.
#include "paddle/fluid/operators/reduce_ops/reduce_sum_op.h"
#include <memory>
#include <string>
namespace
paddle
{
namespace
operators
{
// NOTE: Input(Out) is unnecessary in reduce_sum_grad, and Input(X) needs no
// buffer
class
ReduceSumOpGradDescMaker
:
public
framework
::
SingleGradOpDescMaker
{
public:
using
framework
::
SingleGradOpDescMaker
::
SingleGradOpDescMaker
;
protected:
std
::
unique_ptr
<
framework
::
OpDesc
>
Apply
()
const
override
{
std
::
unique_ptr
<
framework
::
OpDesc
>
op
(
new
framework
::
OpDesc
());
op
->
SetType
(
"reduce_sum_grad"
);
op
->
SetInput
(
"X"
,
Input
(
"X"
));
op
->
SetInput
(
framework
::
GradVarName
(
"Out"
),
OutputGrad
(
"Out"
));
op
->
SetAttrMap
(
Attrs
());
op
->
SetOutput
(
framework
::
GradVarName
(
"X"
),
InputGrad
(
"X"
));
return
op
;
}
};
DECLARE_NO_NEED_BUFFER_VARS_INFERENCE
(
ReduceSumGradNoNeedBufferVarInference
,
"X"
);
}
// namespace operators
}
// namespace paddle
class
ReduceSumOpMaker
:
public
ops
::
ReduceOpMaker
{
protected:
virtual
std
::
string
GetName
()
const
{
return
"reduce_sum"
;
}
virtual
std
::
string
GetOpType
()
const
{
return
"Reduce reduce_sum"
;
}
};
REGISTER_OPERATOR
(
reduce_sum
,
ops
::
ReduceOp
,
ReduceSumOpMaker
,
ops
::
ReduceSumOpGradDescMaker
);
REGISTER_OPERATOR
(
reduce_sum_grad
,
ops
::
ReduceGradOp
,
ops
::
ReduceSumGradNoNeedBufferVarInference
);
REGISTER_REDUCE_OP
(
reduce_sum
);
REGISTER_OP_CPU_KERNEL
(
reduce_sum
,
ops
::
ReduceKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
ops
::
SumFunctor
>
,
...
...
@@ -23,13 +62,13 @@ REGISTER_OP_CPU_KERNEL(
ops
::
ReduceKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
,
ops
::
SumFunctor
>
,
ops
::
ReduceKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
ops
::
SumFunctor
>
);
REGISTER_OP_CPU_KERNEL
(
reduce_sum_grad
,
ops
::
ReduceSumGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceSumGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceSumGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceSumGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
,
ops
::
SumGradFunctor
>
);
template
<
typename
T
>
using
CPUReduceSumGradKernel
=
ops
::
ReduceSumGradKernel
<
paddle
::
platform
::
CPUDeviceContext
,
T
,
ops
::
SumGradFunctor
,
true
>
;
REGISTER_OP_CPU_KERNEL
(
reduce_sum_grad
,
CPUReduceSumGradKernel
<
float
>
,
CPUReduceSumGradKernel
<
double
>
,
CPUReduceSumGradKernel
<
int
>
,
CPUReduceSumGradKernel
<
int64_t
>
);
paddle/fluid/operators/reduce_ops/reduce_sum_op.h
浏览文件 @
af692c91
...
...
@@ -22,7 +22,8 @@ namespace paddle {
namespace
operators
{
// use for loop to speed up Eigen broadcast. 4 timer faster then broadcast
template
<
typename
DeviceContext
,
typename
T
,
typename
Functor
>
template
<
typename
DeviceContext
,
typename
T
,
typename
Functor
,
bool
kNoNeedBufferX
=
false
>
class
ReduceSumGradKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
...
...
@@ -72,7 +73,7 @@ class ReduceSumGradKernel : public framework::OpKernel<T> {
}
// default use Eigen broadcast
ReduceGradKernel
<
DeviceContext
,
T
,
Functor
>
kernel
;
ReduceGradKernel
<
DeviceContext
,
T
,
Functor
,
kNoNeedBufferX
>
kernel
;
kernel
.
Compute
(
context
);
}
};
...
...
paddle/fluid/operators/reduce_ops/reduce_sum_op.part.cu
浏览文件 @
af692c91
...
...
@@ -15,12 +15,12 @@
#include "paddle/fluid/operators/reduce_ops/cub_reduce.h"
#include "paddle/fluid/operators/reduce_ops/reduce_sum_op.h"
REGISTER_OP_CUDA_KERNEL
(
reduce_sum_grad
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
float
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
double
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int
,
ops
::
SumGradFunctor
>
,
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
int64_t
,
ops
::
SumGradFunctor
>
);
template
<
typename
T
>
using
CUDAReduceSumGradKernel
=
ops
::
ReduceGradKernel
<
paddle
::
platform
::
CUDADeviceContext
,
T
,
ops
::
SumGradFunctor
,
true
>
;
REGISTER_OP_CUDA_KERNEL
(
reduce_sum_grad
,
CUDAReduceSumGradKernel
<
float
>
,
CUDAReduceSumGradKernel
<
double
>
,
CUDAReduceSumGradKernel
<
int
>
,
CUDAReduceSumGradKernel
<
int64_t
>
);
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录