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杨迪
NiuTrans.Tensor
Commits
32e78bda
Commit
32e78bda
authored
Dec 27, 2018
by
xiaotong
Browse files
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Plain Diff
the first version of _SumBroadcast
parent
f784b909
显示空白字符变更
内嵌
并排
正在显示
1 个修改的文件
包含
23 行增加
和
7 行删除
+23
-7
source/tensor/core/arithmetic/SumDim.cpp
+23
-7
没有找到文件。
source/tensor/core/arithmetic/SumDim.cpp
查看文件 @
32e78bda
...
@@ -24,7 +24,7 @@
...
@@ -24,7 +24,7 @@
#include "Sum.h"
#include "Sum.h"
#include "SumDim.h"
#include "SumDim.h"
#include "SumDim.cuh"
#include "SumDim.cuh"
#include "Unsqueeze.h"
#include "
../Shape/
Unsqueeze.h"
#include "../../XName.h"
#include "../../XName.h"
#include "../../XUtility.h"
#include "../../XUtility.h"
#include "../movement/CopyValues.h"
#include "../movement/CopyValues.h"
...
@@ -64,6 +64,20 @@ void _SumDim(const XTensor * a, const XTensor * b, XTensor * c, int n, DTYPE bet
...
@@ -64,6 +64,20 @@ void _SumDim(const XTensor * a, const XTensor * b, XTensor * c, int n, DTYPE bet
return
;
return
;
}
}
/*int dims[MAX_TENSOR_DIM_NUM];
for(int i = 0; i < a->order; i++)
dims[i] = 1;
dims[n] = a->GetDim(n);
XTensor * b2 = NewTensor(a->order, dims, b->dataType, b->denseRatio, b->devID, b->mem);
_CopyValues(b, b2);
_SumBroadcast(a, b2, c, beta);
DelTensor(b2);
return;*/
if
(
a
->
devID
>=
0
||
b
->
devID
>=
0
||
c
->
devID
>=
0
){
if
(
a
->
devID
>=
0
||
b
->
devID
>=
0
||
c
->
devID
>=
0
){
#ifdef USE_CUDA
#ifdef USE_CUDA
_CudaSumDim
(
a
,
b
,
c
,
n
,
beta
);
_CudaSumDim
(
a
,
b
,
c
,
n
,
beta
);
...
@@ -192,7 +206,7 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
...
@@ -192,7 +206,7 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
continue
;
continue
;
if
(
b
->
GetDim
(
i
)
==
1
){
if
(
b
->
GetDim
(
i
)
==
1
){
int
fitSize
=
1
;
int
fitSize
=
a
->
GetDim
(
i
)
;
int
j
=
i
+
1
;
int
j
=
i
+
1
;
/* we define a range over dimensions. It is to be unsqueezed */
/* we define a range over dimensions. It is to be unsqueezed */
...
@@ -210,12 +224,11 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
...
@@ -210,12 +224,11 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
dimsT
[
k
]
=
a
->
GetDim
(
k
);
dimsT
[
k
]
=
a
->
GetDim
(
k
);
}
}
dimsS
[
i
]
=
1
;
dimsT
[
i
]
=
fitSize
;
dimsT
[
i
]
=
fitSize
;
bool
isLast
=
true
;
bool
isLast
=
true
;
for
(
int
k
=
j
;
k
<
order
;
k
++
){
for
(
int
k
=
j
;
k
<
order
;
k
++
){
dimsS
[
i
+
k
-
j
+
1
]
=
b
->
GetDim
(
k
);
dimsS
[
i
+
k
-
j
+
0
]
=
b
->
GetDim
(
k
);
dimsT
[
i
+
k
-
j
+
1
]
=
b
->
GetDim
(
k
);
dimsT
[
i
+
k
-
j
+
1
]
=
b
->
GetDim
(
k
);
if
(
a
->
GetDim
(
k
)
!=
b
->
GetDim
(
k
)){
if
(
a
->
GetDim
(
k
)
!=
b
->
GetDim
(
k
)){
if
(
b
->
GetDim
(
k
)
==
1
)
if
(
b
->
GetDim
(
k
)
==
1
)
...
@@ -229,11 +242,11 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
...
@@ -229,11 +242,11 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
dimsS
[
0
]
=
-
dimsS
[
0
];
dimsS
[
0
]
=
-
dimsS
[
0
];
dimsT
[
0
]
=
-
dimsT
[
0
];
dimsT
[
0
]
=
-
dimsT
[
0
];
XTensor
*
s
=
NewTensor
(
order
-
(
j
-
i
)
+
1
,
dimsS
,
a
->
dataType
,
a
->
denseRatio
,
a
->
devID
,
a
->
mem
);
XTensor
*
s
=
NewTensor
(
order
-
(
j
-
i
),
dimsS
,
a
->
dataType
,
a
->
denseRatio
,
a
->
devID
,
a
->
mem
);
XTensor
*
t
=
NewTensor
(
order
-
(
j
-
i
)
+
1
,
dimsT
,
b
->
dataType
,
b
->
denseRatio
,
b
->
devID
,
b
->
mem
);
XTensor
*
t
=
NewTensor
(
order
-
(
j
-
i
)
+
1
,
dimsT
,
b
->
dataType
,
b
->
denseRatio
,
b
->
devID
,
b
->
mem
);
if
(
count
==
0
)
if
(
count
==
0
)
source
=
a
->
data
;
source
=
b
->
data
;
else
{
else
{
source
=
target
;
source
=
target
;
}
}
...
@@ -259,7 +272,7 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
...
@@ -259,7 +272,7 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
/* we do summation here */
/* we do summation here */
if
(
isLast
){
if
(
isLast
){
CheckNTErrors
(
t
->
unitNum
==
c
->
unitNum
,
"Wrong tensor size!"
);
CheckNTErrors
(
t
->
unitNum
==
c
->
unitNum
,
"Wrong tensor size!"
);
_Sum
(
t
,
a
,
c
,
beta
);
_Sum
(
a
,
t
,
c
,
beta
);
if
(
t
->
mem
!=
NULL
)
if
(
t
->
mem
!=
NULL
)
t
->
mem
->
ReleaseBuf
(
t
->
devID
,
t
->
unitNum
*
t
->
unitSize
);
t
->
mem
->
ReleaseBuf
(
t
->
devID
,
t
->
unitNum
*
t
->
unitSize
);
else
else
...
@@ -277,6 +290,9 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
...
@@ -277,6 +290,9 @@ void _SumBroadcast(const XTensor * a, const XTensor * b, XTensor * c, DTYPE beta
}
}
}
}
if
(
count
==
0
)
_Sum
(
a
,
b
,
c
,
beta
);
CheckNTErrors
(
target
==
NULL
,
"Something is wrong!"
);
CheckNTErrors
(
target
==
NULL
,
"Something is wrong!"
);
}
}
...
...
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