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Emmay
NiuTrans.Tensor
Commits
e9f4a75b
Commit
e9f4a75b
authored
Apr 06, 2019
by
xiaotong
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Plain Diff
bug fixes of binary math functions
parent
97338baf
隐藏空白字符变更
内嵌
并排
正在显示
5 个修改的文件
包含
70 行增加
和
41 行删除
+70
-41
source/sample/transformer/T2TSearch.cpp
+1
-0
source/tensor/core/math/Binary.cpp
+33
-24
source/tensor/core/math/Binary.cu
+2
-3
source/tensor/core/math/Binary.cuh
+2
-2
source/tensor/core/math/Binary.h
+32
-12
没有找到文件。
source/sample/transformer/T2TSearch.cpp
查看文件 @
e9f4a75b
...
...
@@ -129,6 +129,7 @@ void T2TSearch::Generate(T2TStateBundle * beam)
int
sizePredict
=
score
.
GetDim
(
-
1
);
/* pre id !!! */
Descale
(
preID
,
sizePredict
);
/* mod !!! */
...
...
source/tensor/core/math/Binary.cpp
查看文件 @
e9f4a75b
...
...
@@ -54,11 +54,10 @@ void _funcName(const XTensor * a, XTensor * b, int num) \
/* run it on GPUs */
\
if (a->devID >= 0) { \
_cudaFuncName(a, b, num); \
b->Dump(stderr, "zxc"); \
return; \
} \
CheckNTErrors((XTensor::IsSameShaped(a, b)), \
"Input tensors should have the same
type!");
\
"Input tensors should have the same
data type!");
\
CheckNTErrors((a->dataType == X_INT), "TODO!"); \
int * d = (int*)a->data; \
int * db = (int*)b->data; \
...
...
@@ -66,65 +65,76 @@ void _funcName(const XTensor * a, XTensor * b, int num) \
db[i] = (int)origFunc(d[i], num); \
}
#define SIMPLE_BINARY_FUNCTION_ME(funcName, _funcName) \
void funcName(XTensor &a, int num) \
{ \
_funcName(&a, &a, num); \
}
#define SIMPLE_BINARY_FUNCTION(funcName, _funcName) \
XTensor funcName(const XTensor &a, int num)
\
void funcName(const XTensor &a, int num)
\
{ \
XTensor b(&a); \
b.SetTMPFlag(); \
_funcName(&a, &b, num); \
b.Dump(stderr, "asd"); \
return b; \
}
_SIMPLE_BINARY_FUNCTION
(
_Scale
,
_CudaScale
,
scale
)
SIMPLE_BINARY_FUNCTION_ME
(
Scale
,
_Scale
)
SIMPLE_BINARY_FUNCTION
(
Scale
,
_Scale
)
_SIMPLE_BINARY_FUNCTION
(
_DeScale
,
_CudaDeScale
,
descale
)
SIMPLE_BINARY_FUNCTION
(
DeScale
,
_DeScale
)
_SIMPLE_BINARY_FUNCTION
(
_Descale
,
_CudaDescale
,
descale
)
SIMPLE_BINARY_FUNCTION_ME
(
Descale
,
_Descale
)
SIMPLE_BINARY_FUNCTION
(
Descale
,
_Descale
)
_SIMPLE_BINARY_FUNCTION
(
_Shift
,
_CudaShift
,
shift
)
SIMPLE_BINARY_FUNCTION_ME
(
Shift
,
_Shift
)
SIMPLE_BINARY_FUNCTION
(
Shift
,
_Shift
)
_SIMPLE_BINARY_FUNCTION
(
_Mod
,
_CudaMod
,
mod
)
SIMPLE_BINARY_FUNCTION_ME
(
Mod
,
_Mod
)
SIMPLE_BINARY_FUNCTION
(
Mod
,
_Mod
)
#else
/* define three marco separately, specify the respective function names (CPU mode) */
#define _SIMPLE_BINARY_FUNCTION(_funcName,
_cudaFuncName, origFunc)
\
#define _SIMPLE_BINARY_FUNCTION(_funcName,
origFunc)
\
void _funcName(const XTensor * a, XTensor * b, int num) \
{ \
/* run it on GPUs */
\
if (a->devID >= 0) { \
_cudaFuncName(a, b, num); \
return; \
} \
CheckNTErrors((XTensor::IsSameShaped(a, b)), \
"Input tensors should have the same
type!");
\
CheckNTErrors((a->dataType ==
DEFAULT_DTYPE), "TODO!");
\
"Input tensors should have the same
data type!");
\
CheckNTErrors((a->dataType ==
X_INT), "TODO!");
\
int * d = (int*)a->data; \
int * db = (int*)b->data; \
for (int i = 0; i < a->unitNum; i++) \
db[i] = (int)origFunc(d[i], num); \
}
#define SIMPLE_BINARY_FUNCTION_ME(funcName, _funcName) \
void funcName(XTensor & a, int num) \
{ \
_funcName(&a, &a, num); \
}
#define SIMPLE_BINARY_FUNCTION(funcName, _funcName) \
void funcName(const XTensor & a, XTensor &b, int num) \
{ \
_funcName(&a, &b, num); \
}
_SIMPLE_BINARY_FUNCTION
(
_Scale
,
_CudaScale
,
scale
)
_SIMPLE_BINARY_FUNCTION
(
_Scale
,
scale
)
SIMPLE_BINARY_FUNCTION_ME
(
Scale
,
_Scale
)
SIMPLE_BINARY_FUNCTION
(
Scale
,
_Scale
)
_SIMPLE_BINARY_FUNCTION
(
_DeScale
,
_CudaDeScale
,
descale
)
SIMPLE_BINARY_FUNCTION
(
DeScale
,
_DeScale
)
_SIMPLE_BINARY_FUNCTION
(
_Descale
,
descale
)
SIMPLE_BINARY_FUNCTION_ME
(
Descale
,
_Descale
)
SIMPLE_BINARY_FUNCTION
(
Descale
,
_Descale
)
_SIMPLE_BINARY_FUNCTION
(
_Shift
,
_CudaShift
,
shift
)
_SIMPLE_BINARY_FUNCTION
(
_Shift
,
shift
)
SIMPLE_BINARY_FUNCTION_ME
(
Shift
,
_Shift
)
SIMPLE_BINARY_FUNCTION
(
Shift
,
_Shift
)
_SIMPLE_BINARY_FUNCTION
(
_Mod
,
_CudaMod
,
mod
)
_SIMPLE_BINARY_FUNCTION
(
_Mod
,
mod
)
SIMPLE_BINARY_FUNCTION_ME
(
Mod
,
_Mod
)
SIMPLE_BINARY_FUNCTION
(
Mod
,
_Mod
)
#endif
}
//
namespace
nts
(
NiuTrans
.
Tensor
)
\ No newline at end of file
}
// namespace nts(NiuTrans.Tensor)
source/tensor/core/math/Binary.cu
查看文件 @
e9f4a75b
...
...
@@ -93,10 +93,10 @@ void _Cuda##funcName(const XTensor * a, XTensor * b, int num) \
} \
SIMPLE_BINARY_FUNCTION_GPU(Scale, cudascale)
SIMPLE_BINARY_FUNCTION_GPU(De
S
cale, cudadescale)
SIMPLE_BINARY_FUNCTION_GPU(De
s
cale, cudadescale)
SIMPLE_BINARY_FUNCTION_GPU(Shift, cudashift)
SIMPLE_BINARY_FUNCTION_GPU(Mod, cudamod)
#endif // USE_CUDA
} // namespace nts(NiuTrans.Tensor)
\ No newline at end of file
} // namespace nts(NiuTrans.Tensor)
source/tensor/core/math/Binary.cuh
查看文件 @
e9f4a75b
...
...
@@ -37,9 +37,9 @@ void _CudaScale(const XTensor * a, XTensor * b, int num);
/* descale each entry (CUDA Kernel) */
__global__
void KernelDe
S
cale(int * a, int * b, int size, int num);
void KernelDe
s
cale(int * a, int * b, int size, int num);
/* descale each entry */
void _CudaDe
S
cale(const XTensor * a, XTensor * b, int num);
void _CudaDe
s
cale(const XTensor * a, XTensor * b, int num);
/* shift each entry (CUDA Kernel) */
__global__
...
...
source/tensor/core/math/Binary.h
查看文件 @
e9f4a75b
...
...
@@ -30,14 +30,19 @@ namespace nts { // namespace nts(NiuTrans.Tensor)
scale all tensor entires
b = a * scale
*/
void
_Scale
(
const
XTensor
*
a
,
XTensor
*
b
,
int
num
);
void
_Scale
(
const
XTensor
*
a
,
XTensor
*
b
,
int
scale
);
/*
scale tensor entires (on site)
b = a * scale
*/
void
Scale
(
XTensor
&
a
,
int
scale
);
/*
scale tensor entires
make a new tensor to keep the result and return it
b = a * scale
*/
XTensor
Scale
(
const
XTensor
&
a
,
int
num
);
void
Scale
(
const
XTensor
&
a
,
XTensor
&
b
,
int
scale
);
//void Scale(const XTensor & a, XTensor & b, int num);
...
...
@@ -45,40 +50,55 @@ XTensor Scale(const XTensor & a, int num);
descale tensor entires
b = a / scale
*/
void
_De
Scale
(
const
XTensor
*
a
,
XTensor
*
b
,
int
num
);
void
_De
scale
(
const
XTensor
*
a
,
XTensor
*
b
,
int
scale
);
/*
descale tensor entires (on site)
b = a / scale
*/
void
Descale
(
XTensor
&
a
,
int
scale
);
/*
descale tensor entires
make a new tensor to keep the result and return it
b = a / scale
*/
XTensor
DeScale
(
const
XTensor
&
a
,
int
num
);
void
Descale
(
const
XTensor
&
a
,
XTensor
&
b
,
int
scale
);
/*
shift tensor entires
b = a + shift
*/
void
_Shift
(
const
XTensor
*
a
,
XTensor
*
b
,
int
num
);
void
_Shift
(
const
XTensor
*
a
,
XTensor
*
b
,
int
shift
);
/*
shift tensor entires (on site)
b = a + shift
*/
void
Shift
(
XTensor
&
a
,
int
shift
);
/*
shift tensor entires
make a new tensor to keep the result and return it
b = a + shift
*/
XTensor
Shift
(
const
XTensor
&
a
,
int
num
);
void
Shift
(
const
XTensor
&
a
,
XTensor
&
b
,
int
shift
);
/*
mod tensor entires
b = a % mod
*/
void
_Mod
(
const
XTensor
*
a
,
XTensor
*
b
,
int
num
);
void
_Mod
(
const
XTensor
*
a
,
XTensor
*
b
,
int
base
);
/*
mod tensor entires (on site)
b = a % mod
*/
void
Mod
(
XTensor
&
a
,
int
base
);
/*
mod tensor entires
make a new tensor to keep the result and return it
b = a % mod
*/
XTensor
Mod
(
const
XTensor
&
a
,
int
num
);
void
Mod
(
const
XTensor
&
a
,
XTensor
&
b
,
int
base
);
}
// namespace nts(NiuTrans.Tensor)
...
...
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