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testgroup
pytensor
Commits
c5d48a56
提交
c5d48a56
authored
3月 20, 2012
作者:
Pascal Lamblin
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Work around inability to incref const * PyObjects
When linking with libpython 2.4 (at least), we cannot Py_INCREF / Py_XDECREF PyObject pointers that have been declared constant.
上级
35d3ea25
隐藏空白字符变更
内嵌
并排
正在显示
1 个修改的文件
包含
42 行增加
和
56 行删除
+42
-56
cuda_ndarray.cu
theano/sandbox/cuda/cuda_ndarray.cu
+42
-56
没有找到文件。
theano/sandbox/cuda/cuda_ndarray.cu
浏览文件 @
c5d48a56
...
@@ -2932,6 +2932,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -2932,6 +2932,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
// If matrix A or B has non-unit size and non-unit stride in both
// If matrix A or B has non-unit size and non-unit stride in both
// dimensions, we can make a copy.
// dimensions, we can make a copy.
CudaNdarray
*
A_new
=
NULL
;
CudaNdarray
*
B_new
=
NULL
;
if
(((
CudaNdarray_HOST_DIMS
(
A
)[
0
]
>
1
)
if
(((
CudaNdarray_HOST_DIMS
(
A
)[
0
]
>
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
!=
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
!=
1
)
&&
(
CudaNdarray_HOST_DIMS
(
A
)[
1
]
>
1
)
&&
(
CudaNdarray_HOST_DIMS
(
A
)[
1
]
>
1
)
...
@@ -2939,18 +2941,11 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -2939,18 +2941,11 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
<
0
))
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
<
0
))
{
{
const
CudaNdarray
*
A_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
A
);
A_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
A
);
if
(
!
A_new
)
if
(
!
A_new
)
return
-
1
;
return
-
1
;
A
=
A_new
;
A
=
A_new
;
}
}
else
{
// In the case above, we will need to decref A_new at the end.
// To make things simpler, we incref A here, so we can always
// decref A.
Py_INCREF
(
A
);
}
if
(((
CudaNdarray_HOST_DIMS
(
B
)[
0
]
>
1
)
if
(((
CudaNdarray_HOST_DIMS
(
B
)[
0
]
>
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
!=
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
!=
1
)
...
@@ -2959,21 +2954,15 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -2959,21 +2954,15 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
||
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
B
)[
1
]
<
0
))
||
(
CudaNdarray_HOST_STRIDES
(
B
)[
1
]
<
0
))
{
{
const
CudaNdarray
*
B_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
B
);
B_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
B
);
if
(
!
B_new
)
if
(
!
B_new
)
{
{
Py_XDECREF
(
A
);
// If A_new is NULL, meaning A was not copied nothing happens
Py_XDECREF
(
A_new
);
return
-
1
;
return
-
1
;
}
}
B
=
B_new
;
B
=
B_new
;
}
}
else
{
// In the case above, we will need to decref B_new at the end.
// To make things simpler, we incref B here, so we can always
// decref B.
Py_INCREF
(
B
);
}
// If matrix C has non-unit size and non-unit stride in both
// If matrix C has non-unit size and non-unit stride in both
// dimensions, or negative strides, we can't operate. We cannot copy
// dimensions, or negative strides, we can't operate. We cannot copy
...
@@ -2992,8 +2981,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -2992,8 +2981,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
CudaNdarray_HOST_STRIDES
(
C
)[
1
],
CudaNdarray_HOST_STRIDES
(
C
)[
1
],
CudaNdarray_HOST_DIMS
(
C
)[
0
],
CudaNdarray_HOST_DIMS
(
C
)[
0
],
CudaNdarray_HOST_DIMS
(
C
)[
1
]);
CudaNdarray_HOST_DIMS
(
C
)[
1
]);
Py_XDECREF
(
A
);
Py_XDECREF
(
A
_new
);
Py_XDECREF
(
B
);
Py_XDECREF
(
B
_new
);
return
-
1
;
return
-
1
;
}
}
...
@@ -3057,8 +3046,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3057,8 +3046,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
cublasSgemm(T0, T1, D0, D1, D2, a, x, sx, y, sy, b, z, sz); \
cublasSgemm(T0, T1, D0, D1, D2, a, x, sx, y, sy, b, z, sz); \
} else { \
} else { \
PyErr_SetString(PyExc_AssertionError, "negative stride to sGemm");\
PyErr_SetString(PyExc_AssertionError, "negative stride to sGemm");\
Py_XDECREF(A);\
Py_XDECREF(A
_new
);\
Py_XDECREF(B);\
Py_XDECREF(B
_new
);\
return -1; \
return -1; \
}
}
...
@@ -3076,8 +3065,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3076,8 +3065,8 @@ int CudaNdarray_gemm(float alpha, const CudaNdarray * A, const CudaNdarray * B,
return
-
1
;
return
-
1
;
};
};
CNDA_THREAD_SYNC
;
CNDA_THREAD_SYNC
;
Py_XDECREF
(
A
);
Py_XDECREF
(
A
_new
);
Py_XDECREF
(
B
);
Py_XDECREF
(
B
_new
);
cublasStatus
err
=
cublasGetError
();
cublasStatus
err
=
cublasGetError
();
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
...
@@ -3117,6 +3106,8 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3117,6 +3106,8 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
// If matrix A has non-unit size and non-unit stride in both
// If matrix A has non-unit size and non-unit stride in both
// dimensions, or negative strides, we cannot operate, but we can
// dimensions, or negative strides, we cannot operate, but we can
// make a copy.
// make a copy.
CudaNdarray
*
A_new
=
NULL
;
CudaNdarray
*
B_new
=
NULL
;
if
(((
CudaNdarray_HOST_DIMS
(
A
)[
0
]
>
1
)
if
(((
CudaNdarray_HOST_DIMS
(
A
)[
0
]
>
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
!=
1
)
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
!=
1
)
&&
(
CudaNdarray_HOST_DIMS
(
A
)[
1
]
>
1
)
&&
(
CudaNdarray_HOST_DIMS
(
A
)[
1
]
>
1
)
...
@@ -3124,33 +3115,25 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3124,33 +3115,25 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
<
0
))
||
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
<
0
))
{
{
const
CudaNdarray
*
A_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
A
);
A_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
A
);
if
(
!
A_new
)
if
(
!
A_new
)
return
-
1
;
return
-
1
;
A
=
A_new
;
A
=
A_new
;
}
}
else
{
// Incref A, so we can decref it at the end in all cases
Py_INCREF
(
A
);
}
// If vector B as a negative stride, we also have to make a copy.
// If vector B as a negative stride, we also have to make a copy.
if
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
<
0
)
if
(
CudaNdarray_HOST_STRIDES
(
B
)[
0
]
<
0
)
{
{
const
CudaNdarray
*
B_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
B
);
B_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
B
);
if
(
!
B_new
)
if
(
!
B_new
)
{
{
Py_XDECREF
(
A
);
// If A was not copied, A_new is NULL, and Py_XDECREF does not
// do anything
Py_XDECREF
(
A_new
);
return
-
1
;
return
-
1
;
}
}
B
=
B_new
;
B
=
B_new
;
}
}
else
{
// Incref B, so we can decref it at the end in all cases
Py_INCREF
(
B
);
}
// cudablas does not handle negative strides as expected
// cudablas does not handle negative strides as expected
if
(
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
if
(
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
<
0
)
...
@@ -3159,8 +3142,8 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3159,8 +3142,8 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
PyErr_Format
(
PyExc_ValueError
,
"illegal strides in args to gemv (%i,%i)"
,
PyErr_Format
(
PyExc_ValueError
,
"illegal strides in args to gemv (%i,%i)"
,
CudaNdarray_HOST_STRIDES
(
A
)[
0
],
CudaNdarray_HOST_STRIDES
(
A
)[
0
],
CudaNdarray_HOST_STRIDES
(
A
)[
1
]);
CudaNdarray_HOST_STRIDES
(
A
)[
1
]);
Py_XDECREF
(
A
);
Py_XDECREF
(
A
_new
);
Py_XDECREF
(
B
);
Py_XDECREF
(
B
_new
);
return
-
1
;
return
-
1
;
}
}
...
@@ -3215,15 +3198,15 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
...
@@ -3215,15 +3198,15 @@ int CudaNdarray_sgemv(float alpha, const CudaNdarray * A, const CudaNdarray * B,
CudaNdarray_HOST_DIMS
(
A
)[
1
],
CudaNdarray_HOST_DIMS
(
A
)[
1
],
CudaNdarray_HOST_DIMS
(
B
)[
0
],
CudaNdarray_HOST_DIMS
(
B
)[
0
],
CudaNdarray_HOST_DIMS
(
C
)[
0
]);
CudaNdarray_HOST_DIMS
(
C
)[
0
]);
Py_XDECREF
(
A
);
Py_XDECREF
(
A
_new
);
Py_XDECREF
(
B
);
Py_XDECREF
(
B
_new
);
return
-
1
;
return
-
1
;
}
}
}
}
CNDA_THREAD_SYNC
;
CNDA_THREAD_SYNC
;
Py_XDECREF
(
A
);
Py_XDECREF
(
A
_new
);
Py_XDECREF
(
B
);
Py_XDECREF
(
B
_new
);
cublasStatus
err
=
cublasGetError
();
cublasStatus
err
=
cublasGetError
();
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
...
@@ -3253,7 +3236,7 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
...
@@ -3253,7 +3236,7 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
}
}
int
x_strides
=
CudaNdarray_HOST_STRIDES
(
x
)[
0
];
int
x_strides
=
CudaNdarray_HOST_STRIDES
(
x
)[
0
];
const
CudaNdarray
*
x_
=
x
;
CudaNdarray
*
x_new
=
NULL
;
if
(
x_strides
==
0
){
if
(
x_strides
==
0
){
if
(
CudaNdarray_HOST_DIMS
(
x
)[
0
]
!=
1
){
if
(
CudaNdarray_HOST_DIMS
(
x
)[
0
]
!=
1
){
PyErr_Format
(
PyExc_RuntimeError
,
PyErr_Format
(
PyExc_RuntimeError
,
...
@@ -3264,24 +3247,27 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
...
@@ -3264,24 +3247,27 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
}
}
x_strides
=
1
;
x_strides
=
1
;
}
else
if
(
x_strides
<
0
){
}
else
if
(
x_strides
<
0
){
x_
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
x
);
x_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
x
);
x_strides
=
CudaNdarray_HOST_STRIDES
(
x_
)[
0
];
x
=
x_new
;
x_strides
=
CudaNdarray_HOST_STRIDES
(
x
)[
0
];
}
}
int
y_strides
=
CudaNdarray_HOST_STRIDES
(
y
)[
0
];
int
y_strides
=
CudaNdarray_HOST_STRIDES
(
y
)[
0
];
const
CudaNdarray
*
y_
=
y
;
CudaNdarray
*
y_new
=
NULL
;
if
(
y_strides
==
0
){
if
(
y_strides
==
0
){
if
(
CudaNdarray_HOST_DIMS
(
y
)[
0
]
!=
1
){
if
(
CudaNdarray_HOST_DIMS
(
y
)[
0
]
!=
1
){
PyErr_Format
(
PyExc_RuntimeError
,
PyErr_Format
(
PyExc_RuntimeError
,
"CudaNdarray_sger: Invalid input y (should not happen)."
"CudaNdarray_sger: Invalid input y (should not happen)."
" We received a CudaNdarray vector with a stride of 0"
" We received a CudaNdarray vector with a stride of 0"
" that has more than 1 elements!"
);
" that has more than 1 elements!"
);
Py_XDECREF
(
x_new
);
return
-
1
;
return
-
1
;
}
}
y_strides
=
1
;
y_strides
=
1
;
}
else
if
(
y_strides
<
0
){
}
else
if
(
y_strides
<
0
){
y_
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
y
);
y_new
=
(
CudaNdarray
*
)
CudaNdarray_Copy
(
y
);
y_strides
=
CudaNdarray_HOST_STRIDES
(
y_
)[
0
];
y
=
y_new
;
y_strides
=
CudaNdarray_HOST_STRIDES
(
y
)[
0
];
}
}
// Create appropriate strides if A is a row or column vector
// Create appropriate strides if A is a row or column vector
...
@@ -3297,8 +3283,8 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
...
@@ -3297,8 +3283,8 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
>
0
)))
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
1
]
>
0
)))
{
{
cublasSger
(
CudaNdarray_HOST_DIMS
(
x
)[
0
],
CudaNdarray_HOST_DIMS
(
y
)[
0
],
alpha
,
cublasSger
(
CudaNdarray_HOST_DIMS
(
x
)[
0
],
CudaNdarray_HOST_DIMS
(
y
)[
0
],
alpha
,
CudaNdarray_DEV_DATA
(
x
_
),
x_strides
,
CudaNdarray_DEV_DATA
(
x
),
x_strides
,
CudaNdarray_DEV_DATA
(
y
_
),
y_strides
,
CudaNdarray_DEV_DATA
(
y
),
y_strides
,
CudaNdarray_DEV_DATA
(
A
),
sa_1
);
CudaNdarray_DEV_DATA
(
A
),
sa_1
);
}
}
// Since Sger expects A in col-major, we invert x and y to fake this.
// Since Sger expects A in col-major, we invert x and y to fake this.
...
@@ -3307,8 +3293,8 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
...
@@ -3307,8 +3293,8 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
>
0
)))
&&
(
CudaNdarray_HOST_STRIDES
(
A
)[
0
]
>
0
)))
{
{
cublasSger
(
CudaNdarray_HOST_DIMS
(
y
)[
0
],
CudaNdarray_HOST_DIMS
(
x
)[
0
],
alpha
,
cublasSger
(
CudaNdarray_HOST_DIMS
(
y
)[
0
],
CudaNdarray_HOST_DIMS
(
x
)[
0
],
alpha
,
CudaNdarray_DEV_DATA
(
y
_
),
y_strides
,
CudaNdarray_DEV_DATA
(
y
),
y_strides
,
CudaNdarray_DEV_DATA
(
x
_
),
x_strides
,
CudaNdarray_DEV_DATA
(
x
),
x_strides
,
CudaNdarray_DEV_DATA
(
A
),
sa_0
);
CudaNdarray_DEV_DATA
(
A
),
sa_0
);
}
}
// A has to be either c- or f-contiguous, with no negative strides
// A has to be either c- or f-contiguous, with no negative strides
...
@@ -3316,14 +3302,14 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
...
@@ -3316,14 +3302,14 @@ int CudaNdarray_sger(float alpha, const CudaNdarray * x, const CudaNdarray * y,
{
{
PyErr_SetString
(
PyExc_NotImplementedError
,
PyErr_SetString
(
PyExc_NotImplementedError
,
"non-contiguous A, or negative strides, in sger"
);
"non-contiguous A, or negative strides, in sger"
);
Py_XDECREF
(
x_new
);
Py_XDECREF
(
y_new
);
return
-
1
;
return
-
1
;
}
}
}
}
CNDA_THREAD_SYNC
;
CNDA_THREAD_SYNC
;
if
(
x_
!=
x
)
Py_XDECREF
(
x_new
);
Py_DECREF
(
x_
);
Py_XDECREF
(
y_new
);
if
(
y_
!=
y
)
Py_DECREF
(
y_
);
cublasStatus
err
=
cublasGetError
();
cublasStatus
err
=
cublasGetError
();
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
if
(
CUBLAS_STATUS_SUCCESS
!=
err
)
...
...
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