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Tensor.LowPrecision
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linye
Tensor.LowPrecision
Commits
3ad0e638
Commit
3ad0e638
authored
Jul 16, 2019
by
linye
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int8 matrix bug fixed
parent
b5c4aa4e
全部展开
显示空白字符变更
内嵌
并排
正在显示
3 个修改的文件
包含
2 行增加
和
116 行删除
+2
-116
source/tensor/core/arithmetic/XTensorBLAS.cu
+0
-0
source/tensor/test/TMatrixMul.cpp
+0
-114
source/tensor/test/Test.cpp
+2
-2
没有找到文件。
source/tensor/core/arithmetic/XTensorBLAS.cu
查看文件 @
3ad0e638
差异被折叠。
点击展开。
source/tensor/test/TMatrixMul.cpp
查看文件 @
3ad0e638
...
@@ -807,111 +807,6 @@ bool TestMatrixMul7()
...
@@ -807,111 +807,6 @@ bool TestMatrixMul7()
}
}
/*
case 8: int8 matrix multiplication.
In this case, int8 a=(2, 3), int8 b=(3, 2) -> int32 c=(2, 2),
transposedA=X_NOTRANS, transposedB=X_NOTRANS.
*/
bool
TestMatrixMul8
()
{
/* a source tensor of size (2, 3) */
int
sOrder1
=
2
;
int
*
sDimSize1
=
new
int
[
sOrder1
];
sDimSize1
[
0
]
=
2
;
sDimSize1
[
1
]
=
3
;
int
sUnitNum1
=
1
;
for
(
int
i
=
0
;
i
<
sOrder1
;
i
++
)
sUnitNum1
*=
sDimSize1
[
i
];
/* a source tensor of size (3, 2) */
int
sOrder2
=
2
;
int
*
sDimSize2
=
new
int
[
sOrder2
];
sDimSize2
[
0
]
=
3
;
sDimSize2
[
1
]
=
2
;
int
sUnitNum2
=
1
;
for
(
int
i
=
0
;
i
<
sOrder2
;
i
++
)
sUnitNum2
*=
sDimSize2
[
i
];
/* a target tensor of size (2, 2) */
int
tOrder
=
2
;
int
*
tDimSize
=
new
int
[
tOrder
];
tDimSize
[
0
]
=
2
;
tDimSize
[
1
]
=
2
;
int
tUnitNum
=
1
;
for
(
int
i
=
0
;
i
<
tOrder
;
i
++
)
tUnitNum
*=
tDimSize
[
i
];
DTYPE
sData1
[
2
][
3
]
=
{
{
1
,
2
,
3
},
{
-
4
,
5
,
6
}
};
DTYPE
sData2
[
3
][
2
]
=
{
{
0
,
-
1
},
{
1
,
2
},
{
2
,
1
}
};
DTYPE
answer
[
2
][
2
]
=
{
{
8
,
6
},
{
17
,
20
}
};
/* CPU test */
bool
cpuTest
=
true
;
#ifdef USE_CUDA
/* GPU test */
bool
gpuTest
=
true
;
/* create tensor */
XTensor
*
sGPU1
=
NewTensor
(
sOrder1
,
sDimSize1
,
X_FLOAT
,
1.0
F
,
0
);
XTensor
*
sGPU2
=
NewTensor
(
sOrder2
,
sDimSize2
,
X_FLOAT
,
1.0
F
,
0
);
XTensor
*
tGPU
=
NewTensor
(
tOrder
,
tDimSize
,
X_FLOAT
,
1.0
F
,
0
);
XTensor
*
intTGPU
=
NewTensor
(
tOrder
,
tDimSize
,
X_INT
,
1.0
F
,
0
);
XTensor
tUserGPU
;
XTensor
intTUserGPU
;
/* create int8 tensors */
XTensor
int8SGPU1
;
XTensor
int8SGPU2
;
/* Initialize variables */
sGPU1
->
SetData
(
sData1
,
sUnitNum1
);
sGPU2
->
SetData
(
sData2
,
sUnitNum2
);
tGPU
->
SetZeroAll
();
/* convert data type from float to int8 */
int8SGPU1
=
ConvertDataType
(
*
sGPU1
,
X_INT8
);
int8SGPU2
=
ConvertDataType
(
*
sGPU2
,
X_INT8
);
/* call MatrixMul function */
_MatrixMul
(
&
int8SGPU1
,
X_NOTRANS
,
&
int8SGPU2
,
X_NOTRANS
,
intTGPU
);
intTUserGPU
=
MatrixMul
(
int8SGPU1
,
X_NOTRANS
,
int8SGPU2
,
X_NOTRANS
,
X_INT
);
/* convert data type from int to float32 */
_ConvertDataType
(
intTGPU
,
tGPU
);
tUserGPU
=
ConvertDataType
(
intTUserGPU
,
X_FLOAT
);
/* check results */
gpuTest
=
tGPU
->
CheckData
(
answer
,
tUnitNum
)
&&
tUserGPU
.
CheckData
(
answer
,
tUnitNum
);
/* destroy variables */
delete
sGPU1
;
delete
sGPU2
;
delete
tGPU
;
delete
intTGPU
;
delete
[]
sDimSize1
;
delete
[]
sDimSize2
;
delete
[]
tDimSize
;
return
cpuTest
&&
gpuTest
;
#else
/* destroy variables */
delete
[]
sDimSize1
;
delete
[]
sDimSize2
;
delete
[]
tDimSize
;
return
cpuTest
;
#endif // USE_CUDA
}
/* other cases */
/* other cases */
/*
/*
TODO!!
TODO!!
...
@@ -987,15 +882,6 @@ bool TestMatrixMul()
...
@@ -987,15 +882,6 @@ bool TestMatrixMul()
else
else
XPRINT
(
0
,
stdout
,
">> case 7 passed!
\n
"
);
XPRINT
(
0
,
stdout
,
">> case 7 passed!
\n
"
);
/* case 8 test */
caseFlag
=
TestMatrixMul8
();
if
(
!
caseFlag
)
{
returnFlag
=
false
;
XPRINT
(
0
,
stdout
,
">> case 8 failed!
\n
"
);
}
else
XPRINT
(
0
,
stdout
,
">> case 8 passed!
\n
"
);
/* other cases test */
/* other cases test */
/*
/*
TODO!!
TODO!!
...
...
source/tensor/test/Test.cpp
查看文件 @
3ad0e638
...
@@ -39,11 +39,11 @@ bool Test()
...
@@ -39,11 +39,11 @@ bool Test()
//wrong = !TestCopyIndexed() || wrong;
//wrong = !TestCopyIndexed() || wrong;
//wrong = !TestCopyValues() || wrong;
//wrong = !TestCopyValues() || wrong;
//wrong = !TestDiv() || wrong;
//wrong = !TestDiv() || wrong;
wrong
=
!
TestDivDim
()
||
wrong
;
//
wrong = !TestDivDim() || wrong;
//wrong = !TestExp() || wrong;
//wrong = !TestExp() || wrong;
//wrong = !TestGather() || wrong;
//wrong = !TestGather() || wrong;
//wrong = !TestLog() || wrong;
//wrong = !TestLog() || wrong;
//
wrong = !TestMatrixMul() || wrong;
wrong
=
!
TestMatrixMul
()
||
wrong
;
//wrong = !TestMatrixMul2D() || wrong;
//wrong = !TestMatrixMul2D() || wrong;
//wrong = !TestMatrixMul2DParallel() || wrong;
//wrong = !TestMatrixMul2DParallel() || wrong;
//wrong = !TestMatrixMulBatched() || wrong;
//wrong = !TestMatrixMulBatched() || wrong;
...
...
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