Function: s8gemv
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C Prototype |
aclError aclblasS8gemv(aclTransType transA, int m, int n, const int32_t *alpha, const int8_t *a, int lda, const int8_t *x, int incx, const int32_t *beta, int32_t *y, int incy, aclComputeType type, aclrtStream stream) |
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Python Function |
ret = acl.blas.s8gemv(trans_a, m, n, alpha, a, lda, x, incx, beta, y, incy, type, stream) |
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Function Usage |
Computes matrix-vector multiplication: y = αAx + βy. The input data type is int8_t, and the output data type is int32_t. This API is asynchronous. |
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Input Description |
trans_a: int, whether matrix A is transposed. m: int, number of rows in matrix A (row-major first in data storing). n: int, number of columns in matrix A. alpha: int, data pointer address of Scalar α used for executing the multiplication operation. a: int, data pointer address of matrix A. lda: int, leading dimension of matrix A. For row-major transpose, lda is the number of columns of matrix A. This parameter is reserved and can only be set to –1. x: int, data pointer address of vector x. incx: int, increment between successive x elements. This parameter is reserved and can only be set to –1. beta: int, data pointer address of Scalar β used for executing the multiplication operation. y: int, data pointer address of vector y. incy: int, increment between successive y elements. This parameter is reserved and can only be set to –1. type: int, calculation precision. stream: int, stream where the operator is executed. |
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Return Value |
ret: int, error code.
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Restrictions |
None |
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Reference |
For details about the API call sequence, see API Call Sequence. |