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PaddleDetection
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a3703888
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PaddleDetection
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a3703888
编写于
12月 12, 2018
作者:
T
tensor-tang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix unit test with double type
上级
417d031f
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
33 addition
and
24 deletion
+33
-24
paddle/fluid/operators/jit/helper.h
paddle/fluid/operators/jit/helper.h
+27
-17
paddle/fluid/operators/jit/test.cc
paddle/fluid/operators/jit/test.cc
+6
-7
未找到文件。
paddle/fluid/operators/jit/helper.h
浏览文件 @
a3703888
...
...
@@ -33,8 +33,11 @@ namespace jit {
#define EXP_MAX_INPUT 40.0
template
<
KernelType
KT
,
typename
KernelTuples
,
typename
PlaceType
>
inline
typename
KernelTuples
::
func_type
GetJitCode
(
typename
KernelTuples
::
attr_type
attr
)
{
inline
typename
std
::
enable_if
<
std
::
is_same
<
typename
KernelTuples
::
data_type
,
float
>::
value
&&
std
::
is_same
<
PlaceType
,
platform
::
CPUPlace
>::
value
,
typename
KernelTuples
::
func_type
>::
type
GetJitCode
(
typename
KernelTuples
::
attr_type
attr
)
{
using
Func
=
typename
KernelTuples
::
func_type
;
using
Attr
=
typename
KernelTuples
::
attr_type
;
size_t
key
=
JitCodeKey
<
Attr
>
(
attr
);
...
...
@@ -45,21 +48,19 @@ inline typename KernelTuples::func_type GetJitCode(
// creator is not related with attr, so can use KernelKey as key
KernelKey
kkey
(
KT
,
PlaceType
());
if
(
std
::
is_same
<
PlaceType
,
platform
::
CPUPlace
>::
value
)
{
// pool: (KernelKey(type, place), vector<GenCreatorPtr>)
auto
&
creator_map
=
JitCodeCreatorPool
().
Instance
().
AllCreators
();
auto
iter
=
creator_map
.
find
(
kkey
);
if
(
iter
!=
creator_map
.
end
())
{
auto
&
creators
=
iter
->
second
;
for
(
auto
&
cur
:
creators
)
{
auto
i
=
dynamic_cast
<
const
JitCodeCreator
<
Attr
>*>
(
cur
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
p
=
i
->
CreateJitCode
(
attr
);
if
(
p
)
{
auto
f
=
p
->
template
getCode
<
Func
>();
codes
.
Insert
(
key
,
std
::
move
(
p
));
return
f
;
}
// pool: (KernelKey(type, place), vector<GenCreatorPtr>)
auto
&
creator_map
=
JitCodeCreatorPool
().
Instance
().
AllCreators
();
auto
iter
=
creator_map
.
find
(
kkey
);
if
(
iter
!=
creator_map
.
end
())
{
auto
&
creators
=
iter
->
second
;
for
(
auto
&
cur
:
creators
)
{
auto
i
=
dynamic_cast
<
const
JitCodeCreator
<
Attr
>*>
(
cur
.
get
());
if
(
i
&&
i
->
UseMe
(
attr
))
{
auto
p
=
i
->
CreateJitCode
(
attr
);
if
(
p
)
{
auto
f
=
p
->
template
getCode
<
Func
>();
codes
.
Insert
(
key
,
std
::
move
(
p
));
return
f
;
}
}
}
...
...
@@ -67,6 +68,15 @@ inline typename KernelTuples::func_type GetJitCode(
return
nullptr
;
}
template
<
KernelType
KT
,
typename
KernelTuples
,
typename
PlaceType
>
inline
typename
std
::
enable_if
<
!
std
::
is_same
<
typename
KernelTuples
::
data_type
,
float
>::
value
||
!
std
::
is_same
<
PlaceType
,
platform
::
CPUPlace
>::
value
,
typename
KernelTuples
::
func_type
>::
type
GetJitCode
(
typename
KernelTuples
::
attr_type
attr
)
{
return
nullptr
;
}
// Refer code do not related with attr, which is just for cast
// Refer is always on CPUPlace
template
<
KernelType
KT
,
typename
KernelTuples
>
...
...
paddle/fluid/operators/jit/test.cc
浏览文件 @
a3703888
...
...
@@ -48,13 +48,13 @@ void ExpectEQ(const T* target, const T* refer, int n) {
std
::
vector
<
int
>
TestSizes
()
{
std
::
vector
<
int
>
s
;
for
(
int
i
=
1
;
i
<
10
;
++
i
)
{
for
(
int
i
=
1
;
i
<
32
;
++
i
)
{
s
.
push_back
(
i
);
}
//
//
test some large size
//
s.push_back(100);
//
s.push_back(1000);
//
s.push_back(2000);
// test some large size
s
.
push_back
(
100
);
s
.
push_back
(
1000
);
s
.
push_back
(
2000
);
return
s
;
}
...
...
@@ -148,8 +148,7 @@ void TestXYZNKernel() {
TEST
(
JITKernel
,
vmul
)
{
namespace
jit
=
paddle
::
operators
::
jit
;
TestXYZNKernel
<
jit
::
vmul
,
float
,
paddle
::
platform
::
CPUPlace
>
();
// TODO(TJ): fix double issue
// TestXYZNKernel<jit::vmul, double, paddle::platform::CPUPlace>();
TestXYZNKernel
<
jit
::
vmul
,
double
,
paddle
::
platform
::
CPUPlace
>
();
}
TEST
(
JITKernel
,
vadd
)
{
...
...
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