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体验新版 GitCode,发现更多精彩内容 >>
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d323831a
编写于
9月 03, 2017
作者:
Q
qiaolongfei
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
add GetAttr to InferShapeContext
上级
848c317a
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
19 addition
and
18 deletion
+19
-18
paddle/framework/operator.h
paddle/framework/operator.h
+5
-0
paddle/operators/gaussian_random_op.cc
paddle/operators/gaussian_random_op.cc
+3
-4
paddle/operators/gaussian_random_op.cu
paddle/operators/gaussian_random_op.cu
+3
-4
paddle/operators/scale_op.h
paddle/operators/scale_op.h
+1
-1
paddle/operators/sgd_op.h
paddle/operators/sgd_op.h
+1
-1
paddle/operators/uniform_random_op.cc
paddle/operators/uniform_random_op.cc
+3
-4
paddle/operators/uniform_random_op.cu
paddle/operators/uniform_random_op.cu
+3
-4
未找到文件。
paddle/framework/operator.h
浏览文件 @
d323831a
...
...
@@ -233,6 +233,11 @@ class InferShapeContext {
const
Scope
&
scope
()
const
{
return
scope_
;
}
template
<
typename
T
>
inline
const
T
&
GetAttr
(
const
std
::
string
&
name
)
const
{
return
op_
.
GetAttr
<
T
>
(
name
);
}
size_t
InputSize
(
const
std
::
string
&
name
)
const
{
return
op_
.
Inputs
(
name
).
size
();
}
...
...
paddle/operators/gaussian_random_op.cc
浏览文件 @
d323831a
...
...
@@ -19,13 +19,12 @@ template <typename T>
class
CPUGaussianRandomKernel
:
public
framework
::
OpKernel
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
float
mean
=
context
.
op
().
GetAttr
<
float
>
(
"mean"
);
float
std
=
context
.
op
().
GetAttr
<
float
>
(
"std"
);
float
mean
=
context
.
GetAttr
<
float
>
(
"mean"
);
float
std
=
context
.
GetAttr
<
float
>
(
"std"
);
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
T
*
data
=
tensor
->
mutable_data
<
T
>
(
context
.
GetPlace
());
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
op
().
GetAttr
<
int
>
(
"seed"
));
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
GetAttr
<
int
>
(
"seed"
));
std
::
minstd_rand
engine
;
if
(
seed
==
0
)
{
seed
=
std
::
random_device
()();
...
...
paddle/operators/gaussian_random_op.cu
浏览文件 @
d323831a
...
...
@@ -42,14 +42,13 @@ class GPUGaussianRandomKernel : public framework::OpKernel {
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
T
*
data
=
tensor
->
mutable_data
<
T
>
(
context
.
GetPlace
());
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
op
().
GetAttr
<
int
>
(
"seed"
));
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
GetAttr
<
int
>
(
"seed"
));
if
(
seed
==
0
)
{
std
::
random_device
rd
;
seed
=
rd
();
}
T
mean
=
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
float
>
(
"mean"
));
T
std
=
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
float
>
(
"std"
));
T
mean
=
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"mean"
));
T
std
=
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"std"
));
thrust
::
counting_iterator
<
unsigned
int
>
index_sequence_begin
(
0
);
ssize_t
N
=
framework
::
product
(
tensor
->
dims
());
thrust
::
transform
(
index_sequence_begin
,
index_sequence_begin
+
N
,
...
...
paddle/operators/scale_op.h
浏览文件 @
d323831a
...
...
@@ -27,7 +27,7 @@ class ScaleKernel : public framework::OpKernel {
auto
*
in
=
context
.
Input
<
framework
::
Tensor
>
(
"X"
);
tensor
->
mutable_data
<
T
>
(
in
->
place
());
auto
scale
=
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
AttrType
>
(
"scale"
));
auto
scale
=
static_cast
<
T
>
(
context
.
GetAttr
<
AttrType
>
(
"scale"
));
auto
eigen_out
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
tensor
);
auto
eigen_in
=
framework
::
EigenVector
<
T
>::
Flatten
(
*
in
);
...
...
paddle/operators/sgd_op.h
浏览文件 @
d323831a
...
...
@@ -31,7 +31,7 @@ class SGDOpKernel : public framework::OpKernel {
auto
param
=
ctx
.
Input
<
Tensor
>
(
"param"
);
auto
grad
=
ctx
.
Input
<
Tensor
>
(
"grad"
);
auto
param_out
=
ctx
.
Output
<
Tensor
>
(
"param_out"
);
float
lr
=
ctx
.
op
().
GetAttr
<
float
>
(
"learning_rate"
);
float
lr
=
ctx
.
GetAttr
<
float
>
(
"learning_rate"
);
param_out
->
mutable_data
<
T
>
(
ctx
.
GetPlace
());
...
...
paddle/operators/uniform_random_op.cc
浏览文件 @
d323831a
...
...
@@ -26,16 +26,15 @@ class CPUUniformRandomKernel : public framework::OpKernel {
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
T
*
data
=
tensor
->
mutable_data
<
T
>
(
context
.
GetPlace
());
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
op
().
GetAttr
<
int
>
(
"seed"
));
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
GetAttr
<
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
>
(
context
.
op
().
GetAttr
<
float
>
(
"min"
)),
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
float
>
(
"max"
)));
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"min"
)),
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"max"
)));
ssize_t
size
=
framework
::
product
(
tensor
->
dims
());
for
(
ssize_t
i
=
0
;
i
<
size
;
++
i
)
{
data
[
i
]
=
dist
(
engine
);
...
...
paddle/operators/uniform_random_op.cu
浏览文件 @
d323831a
...
...
@@ -45,14 +45,13 @@ class GPUUniformRandomKernel : public framework::OpKernel {
void
Compute
(
const
framework
::
ExecutionContext
&
context
)
const
override
{
auto
*
tensor
=
context
.
Output
<
framework
::
Tensor
>
(
"Out"
);
T
*
data
=
tensor
->
mutable_data
<
T
>
(
context
.
GetPlace
());
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
op
().
GetAttr
<
int
>
(
"seed"
));
unsigned
int
seed
=
static_cast
<
unsigned
int
>
(
context
.
GetAttr
<
int
>
(
"seed"
));
if
(
seed
==
0
)
{
std
::
random_device
rd
;
seed
=
rd
();
}
T
min
=
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
float
>
(
"min"
));
T
max
=
static_cast
<
T
>
(
context
.
op
().
GetAttr
<
float
>
(
"max"
));
T
min
=
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"min"
));
T
max
=
static_cast
<
T
>
(
context
.
GetAttr
<
float
>
(
"max"
));
thrust
::
counting_iterator
<
unsigned
int
>
index_sequence_begin
(
0
);
ssize_t
N
=
framework
::
product
(
tensor
->
dims
());
thrust
::
transform
(
index_sequence_begin
,
index_sequence_begin
+
N
,
...
...
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