cublascopy()
cublasStatus_t cublasScopy(cublasHandle_t handle, int n,
const float *x, int incx,
float *y, int incy)
cublasStatus_t cublasDcopy(cublasHandle_t handle, int n,
const double *x, int incx,
double *y, int incy)
cublasStatus_t cublasCcopy(cublasHandle_t handle, int n,
const cuComplex *x, int incx,
cuComplex *y, int incy)
cublasStatus_t cublasZcopy(cublasHandle_t handle, int n,
const cuDoubleComplex *x, int incx,
cuDoubleComplex *y, int incy)
该函数将向量 x 复制到向量 y 中。 因此,执行的操作是 y [ j ] = x [ k ] 对于 i = 1 , … , n , k = 1 + ( i - 1 ) * incx 和 j = 1 + ( i - 1 ) * incy 。 请注意,最后两个等式反映了用于与 Fortran 兼容的基于 1 的索引。
Param. | Memory | In/out | Meaning |
---|---|---|---|
handle | input | handle to the cuBLAS library context. | |
n | input | number of elements in the vector x. | |
x | device | input | vector with n elements. |
incx | input | stride between consecutive elements of x. | |
y | device | in/out | vector with n elements. |
incy | input | stride between consecutive elements of y. |
Error Value | Meaning |
---|---|
CUBLAS_STATUS_SUCCESS | 操作成功完成 |
CUBLAS_STATUS_NOT_INITIALIZED | 库未初始化 |
CUBLAS_STATUS_ALLOC_FAILED | 无法分配缩减缓冲区 |
请参考:
cublasdot()
cublasStatus_t cublasSdot (cublasHandle_t handle, int n,
const float *x, int incx,
const float *y, int incy,
float *result)
cublasStatus_t cublasDdot (cublasHandle_t handle, int n,
const double *x, int incx,
const double *y, int incy,
double *result)
cublasStatus_t cublasCdotu(cublasHandle_t handle, int n,
const cuComplex *x, int incx,
const cuComplex *y, int incy,
cuComplex *result)
cublasStatus_t cublasCdotc(cublasHandle_t handle, int n,
const cuComplex *x, int incx,
const cuComplex *y, int incy,
cuComplex *result)
cublasStatus_t cublasZdotu(cublasHandle_t handle, int n,
const cuDoubleComplex *x, int incx,
const cuDoubleComplex *y, int incy,
cuDoubleComplex *result)
cublasStatus_t cublasZdotc(cublasHandle_t handle, int n,
const cuDoubleComplex *x, int incx,
const cuDoubleComplex *y, int incy,
cuDoubleComplex *result)
此函数计算向量 x 和 y 的点积。 因此,结果是 ∑ i = 1 n ( x [ k ] × y [ j ] ) 其中 k = 1 + ( i - 1 ) * incx 和 j = 1 + ( i - 1 ) * incy 。 请注意,在第一个方程中,如果函数名称以字符“c”结尾,则应使用向量 x 的元素的共轭,并且最后两个方程反映了用于与 Fortran 兼容的基于 1 的索引。
Param. | Memory | In/out | Meaning |
---|---|---|---|
handle | input | handle to the cuBLAS library context. | |
n | input | number of elements in the vector x. | |
x | device | input | vector with n elements. |
incx | input | stride between consecutive elements of x. | |
y | device | in/out | vector with n elements. |
incy | input | stride between consecutive elements of y. | |
result | host or device | output | the resulting dot product, which is 0.0 if n<=0. |
该函数可能返回的错误值及其含义如下所列。
Error Value | Meaning |
---|---|
CUBLAS_STATUS_SUCCESS | 操作成功完成 |
CUBLAS_STATUS_NOT_INITIALIZED | 库未初始化 |
CUBLAS_STATUS_ALLOC_FAILED | 无法分配缩减缓冲区 |
CUBLAS_STATUS_EXECUTION_FAILED | 该功能无法在 GPU 上启动 |