aclblasS8gemv

Applicability

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product / Atlas A3 inference product	√
Atlas A2 training product / Atlas A2 inference product	√
Atlas 200I/500 A2 inference product	√
Atlas inference product	√
Atlas training product	√

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.

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)

Parameters

Parameter	Input/Output	Description
transA	Input	Transpose flag of matrix A. For details about the type definition, see aclTransType.
m	Input	Number of rows in matrix A (row-major first in data storing).
n	Input	Number of columns in matrix A.
alpha	Input	Pointer to scalar α used for executing the multiplication operation.
a	Input	Pointer to matrix A.
lda	Input	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	Input	Pointer to vector x.
incx	Input	Increment between successive x elements. This parameter is reserved and can only be set to –1.
beta	Input	Pointer to scalar β used for executing the multiplication operation.
y	Input and output	Pointer to vector y.
incy	Input	Increment between successive y elements. This parameter is reserved and can only be set to –1.
type	Input	Computation precision type (high precision by default). For details about the type definition, see aclComputeType.
stream	Input	Stream where the operator is executed. For details about the type definition, see aclrtStream.

Returns

0 on success; else, failure. For details, see aclError.

Parent topic: CBLAS APIs