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体验新版 GitCode,发现更多精彩内容 >>
提交
4661f558
编写于
8月 15, 2018
作者:
T
tangwei12
浏览文件
操作
浏览文件
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电子邮件补丁
差异文件
random optimize
上级
478f73c1
变更
1
隐藏空白更改
内联
并排
Showing
1 changed file
with
27 addition
and
17 deletion
+27
-17
paddle/fluid/operators/sampling_id_op.cc
paddle/fluid/operators/sampling_id_op.cc
+27
-17
未找到文件。
paddle/fluid/operators/sampling_id_op.cc
浏览文件 @
4661f558
...
...
@@ -36,9 +36,19 @@ class SamplingIdKernel : public framework::OpKernel<T> {
std
::
vector
<
T
>
ins_vector
;
framework
::
TensorToVector
(
*
input
,
context
.
device_context
(),
&
ins_vector
);
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
ctx
.
Attr
<
int
>
(
"seed"
));
std
::
minstd_rand
engine
;
if
(
seed
==
0
)
{
seed
=
std
::
random_device
()();
}
engine
.
seed
(
seed
);
std
::
uniform_real_distribution
<
T
>
dist
(
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"min"
)),
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"max"
)));
std
::
vector
<
T
>
ids
(
batch_size
);
for
(
size_t
i
=
0
;
i
<
batch_size
;
++
i
)
{
double
r
=
getRandReal
(
);
double
r
=
dist
(
engine
);
int
idx
=
width
-
1
;
for
(
int
j
=
0
;
j
<
width
;
++
j
)
{
if
((
r
-=
ins_vector
[
i
*
width
+
j
])
<
0
)
{
...
...
@@ -57,16 +67,6 @@ class SamplingIdKernel : public framework::OpKernel<T> {
output
->
mutable_data
<
T
>
(
context
.
GetPlace
());
framework
::
TensorFromVector
(
ids
,
context
.
device_context
(),
output
);
}
private:
double
getRandReal
()
const
{
std
::
random_device
rd
;
// Will be used to obtain a seed for the random number engine
std
::
mt19937
gen
(
rd
());
// Standard mersenne_twister_engine seeded with
// rd()
std
::
uniform_real_distribution
<>
dis
(
1.0
,
2.0
);
return
dis
(
gen
);
}
};
class
SamplingIdOp
:
public
framework
::
OperatorWithKernel
{
...
...
@@ -78,6 +78,9 @@ class SamplingIdOp : public framework::OperatorWithKernel {
"Input(X) of SamplingIdOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
HasOutput
(
"Out"
),
"Output(Out) of SamplingIdOp should not be null."
);
PADDLE_ENFORCE
(
ctx
->
Attrs
().
Get
<
float
>
(
"min"
)
<
ctx
->
Attrs
().
Get
<
float
>
(
"max"
),
"min must less then max"
);
auto
input_dims
=
ctx
->
GetInputDim
(
"X"
);
PADDLE_ENFORCE
(
input_dims
.
size
()
==
2
,
...
...
@@ -99,7 +102,17 @@ class SamplingIdOpMaker : public framework::OpProtoAndCheckerMaker {
AddComment
(
R"DOC(
SamplingId Operator.
A layer for sampling id from multinomial distribution from the
input layer. Sampling one id for one sample.)DOC"
);
input. Sampling one id for one sample.)DOC"
);
AddAttr
<
float
>
(
"min"
,
"Minimum value of random. [default 0.0]."
)
.
SetDefault
(
0.0
f
);
AddAttr
<
float
>
(
"max"
,
"Maximun value of random. [default 1.0]."
)
.
SetDefault
(
1.0
f
);
AddAttr
<
int
>
(
"seed"
,
"Random seed used for the random number engine. "
"0 means use a seed generated by the system."
"Note that if seed is not 0, this operator will always "
"generate the same random numbers every time. [default 0]."
)
.
SetDefault
(
0
);
}
};
}
// namespace operators
...
...
@@ -109,8 +122,5 @@ namespace ops = paddle::operators;
REGISTER_OPERATOR
(
sampling_id
,
ops
::
SamplingIdOp
,
ops
::
SamplingIdOpMaker
,
paddle
::
framework
::
EmptyGradOpMaker
);
REGISTER_OP_CPU_KERNEL
(
sampling_id
,
ops
::
SamplingIdKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int
>
,
ops
::
SamplingIdKernel
<
paddle
::
platform
::
CPUDeviceContext
,
int64_t
>
,
ops
::
SamplingIdKernel
<
paddle
::
platform
::
CPUDeviceContext
,
float
>
,
ops
::
SamplingIdKernel
<
paddle
::
platform
::
CPUDeviceContext
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
sampling_id
,
paddle
::
operators
::
SamplingIdKernel
<
float
>
,
paddle
::
operators
::
SamplingIdKernel
<
double
>
);
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