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
PaddlePaddle
PaddleDetection
提交
f60f0eae
P
PaddleDetection
项目概览
PaddlePaddle
/
PaddleDetection
大约 1 年 前同步成功
通知
694
Star
11112
Fork
2696
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
184
列表
看板
标记
里程碑
合并请求
40
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
PaddleDetection
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
184
Issue
184
列表
看板
标记
里程碑
合并请求
40
合并请求
40
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
f60f0eae
编写于
9月 28, 2017
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Using double precision to stablize lstm gradient check
上级
9fbf94b6
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
22 addition
and
19 deletion
+22
-19
paddle/operators/lstm_unit_op.cc
paddle/operators/lstm_unit_op.cc
+7
-6
paddle/operators/lstm_unit_op.cu
paddle/operators/lstm_unit_op.cu
+8
-6
paddle/operators/lstm_unit_op.h
paddle/operators/lstm_unit_op.h
+4
-4
python/paddle/v2/framework/tests/test_lstm_unit_op.py
python/paddle/v2/framework/tests/test_lstm_unit_op.py
+3
-3
未找到文件。
paddle/operators/lstm_unit_op.cc
浏览文件 @
f60f0eae
...
...
@@ -47,7 +47,6 @@ class LstmUnitOp : public framework::OperatorWithKernel {
}
};
template
<
typename
AttrType
>
class
LstmUnitOpMaker
:
public
framework
::
OpProtoAndCheckerMaker
{
public:
LstmUnitOpMaker
(
framework
::
OpProto
*
proto
,
...
...
@@ -68,7 +67,7 @@ Equation:
H = C * sigm(o)
)DOC"
);
AddAttr
<
AttrType
>
(
"forget_bias"
,
"The forget bias of Lstm Unit."
)
AddAttr
<
float
>
(
"forget_bias"
,
"The forget bias of Lstm Unit."
)
.
SetDefault
(
0.0
);
}
};
...
...
@@ -93,9 +92,11 @@ class LstmUnitGradOp : public framework::OperatorWithKernel {
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP
(
lstm_unit
,
ops
::
LstmUnitOp
,
ops
::
LstmUnitOpMaker
<
float
>
,
lstm_unit_grad
,
ops
::
LstmUnitGradOp
);
REGISTER_OP
(
lstm_unit
,
ops
::
LstmUnitOp
,
ops
::
LstmUnitOpMaker
,
lstm_unit_grad
,
ops
::
LstmUnitGradOp
);
REGISTER_OP_CPU_KERNEL
(
lstm_unit
,
ops
::
LstmUnitKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
ops
::
LstmUnitKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
LstmUnitKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
REGISTER_OP_CPU_KERNEL
(
lstm_unit_grad
,
ops
::
LstmUnitGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
);
lstm_unit_grad
,
ops
::
LstmUnitGradKernel
<
paddle
::
platform
::
CPUPlace
,
float
>
,
ops
::
LstmUnitGradKernel
<
paddle
::
platform
::
CPUPlace
,
double
>
);
paddle/operators/lstm_unit_op.cu
浏览文件 @
f60f0eae
...
...
@@ -89,7 +89,7 @@ __global__ void LSTMUnitGradientKernel(const int nthreads, const int dim,
}
}
template
<
typename
T
,
typename
AttrType
=
T
>
template
<
typename
T
>
class
LstmUnitOpCUDAKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
...
...
@@ -101,7 +101,7 @@ class LstmUnitOpCUDAKernel : public framework::OpKernel<T> {
auto
*
c_tensor
=
ctx
.
Output
<
framework
::
Tensor
>
(
"C"
);
auto
*
h_tensor
=
ctx
.
Output
<
framework
::
Tensor
>
(
"H"
);
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
AttrType
>
(
"forget_bias"
));
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"forget_bias"
));
int
b_size
=
c_tensor
->
dims
()[
0
];
int
D
=
c_tensor
->
dims
()[
1
];
...
...
@@ -120,7 +120,7 @@ class LstmUnitOpCUDAKernel : public framework::OpKernel<T> {
}
};
template
<
typename
T
,
typename
AttrType
=
T
>
template
<
typename
T
>
class
LstmUnitGradOpCUDAKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
...
...
@@ -153,7 +153,7 @@ class LstmUnitGradOpCUDAKernel : public framework::OpKernel<T> {
int
N
=
c_tensor
->
dims
()[
0
];
int
D
=
c_tensor
->
dims
()[
1
];
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
AttrType
>
(
"forget_bias"
));
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"forget_bias"
));
int
block
=
512
;
int
n
=
N
*
D
;
...
...
@@ -169,5 +169,7 @@ class LstmUnitGradOpCUDAKernel : public framework::OpKernel<T> {
}
// namespace paddle
namespace
ops
=
paddle
::
operators
;
REGISTER_OP_GPU_KERNEL
(
lstm_unit
,
ops
::
LstmUnitOpCUDAKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
lstm_unit_grad
,
ops
::
LstmUnitGradOpCUDAKernel
<
float
>
);
REGISTER_OP_GPU_KERNEL
(
lstm_unit
,
ops
::
LstmUnitOpCUDAKernel
<
float
>
,
ops
::
LstmUnitOpCUDAKernel
<
double
>
);
REGISTER_OP_GPU_KERNEL
(
lstm_unit_grad
,
ops
::
LstmUnitGradOpCUDAKernel
<
float
>
,
ops
::
LstmUnitGradOpCUDAKernel
<
double
>
);
paddle/operators/lstm_unit_op.h
浏览文件 @
f60f0eae
...
...
@@ -32,7 +32,7 @@ inline T tanh(T x) {
return
2.
*
sigmoid
(
2.
*
x
)
-
1.
;
}
template
<
typename
Place
,
typename
T
,
typename
AttrType
=
T
>
template
<
typename
Place
,
typename
T
>
class
LstmUnitKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
...
...
@@ -44,7 +44,7 @@ class LstmUnitKernel : public framework::OpKernel<T> {
auto
*
c_tensor
=
ctx
.
Output
<
framework
::
Tensor
>
(
"C"
);
auto
*
h_tensor
=
ctx
.
Output
<
framework
::
Tensor
>
(
"H"
);
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
AttrType
>
(
"forget_bias"
));
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"forget_bias"
));
int
b_size
=
c_tensor
->
dims
()[
0
];
int
D
=
c_tensor
->
dims
()[
1
];
...
...
@@ -75,7 +75,7 @@ class LstmUnitKernel : public framework::OpKernel<T> {
}
};
template
<
typename
Place
,
typename
T
,
typename
AttrType
=
T
>
template
<
typename
Place
,
typename
T
>
class
LstmUnitGradKernel
:
public
framework
::
OpKernel
<
T
>
{
public:
void
Compute
(
const
framework
::
ExecutionContext
&
ctx
)
const
override
{
...
...
@@ -108,7 +108,7 @@ class LstmUnitGradKernel : public framework::OpKernel<T> {
int
N
=
c_tensor
->
dims
()[
0
];
int
D
=
c_tensor
->
dims
()[
1
];
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
AttrType
>
(
"forget_bias"
));
auto
forget_bias
=
static_cast
<
T
>
(
ctx
.
Attr
<
float
>
(
"forget_bias"
));
for
(
int
n
=
0
;
n
<
N
;
++
n
)
{
for
(
int
d
=
0
;
d
<
D
;
++
d
)
{
...
...
python/paddle/v2/framework/tests/test_lstm_unit_op.py
浏览文件 @
f60f0eae
...
...
@@ -14,8 +14,8 @@ def tanh_np(x):
class
LstmUnitTest
(
OpTest
):
def
setUp
(
self
):
self
.
op_type
=
"lstm_unit"
x_np
=
np
.
random
.
normal
(
size
=
(
5
,
16
)).
astype
(
"float
32
"
)
c_np
=
np
.
random
.
normal
(
size
=
(
5
,
4
)).
astype
(
"float
32
"
)
x_np
=
np
.
random
.
normal
(
size
=
(
5
,
16
)).
astype
(
"float
64
"
)
c_np
=
np
.
random
.
normal
(
size
=
(
5
,
4
)).
astype
(
"float
64
"
)
i_np
,
f_np
,
o_np
,
j_np
=
np
.
split
(
x_np
,
4
,
axis
=
1
)
forget_bias_np
=
0.
self
.
attrs
=
{
'forget_bias'
:
0.
}
...
...
@@ -31,7 +31,7 @@ class LstmUnitTest(OpTest):
self
.
check_output
()
def
test_check_grad
(
self
):
self
.
check_grad
([
'X'
,
'C_prev'
],
[
'C'
,
'H'
]
,
max_relative_error
=
0.01
)
self
.
check_grad
([
'X'
,
'C_prev'
],
[
'C'
,
'H'
])
if
__name__
==
"__main__"
:
...
...
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