Function: create_handle_for_gemv_ex

Applicability

Product	Supported (√/x)
Atlas A3 training products/Atlas A3 inference products	√
Atlas A2 training products/Atlas A2 inference products	√
Atlas training products	√
Atlas inference products	√
Atlas 200I/500 A2 inference products	√

Function Usage

Creates a handle to matrix-vector multiplication. The data types of the input and output data are set using arguments.

After the handle is created, call acl.op.execute_with_handle to execute the operator.

Prototype

C Prototype

aclError aclblasCreateHandleForGemvEx(aclTransType transA,
int m,
int n,
aclDataType dataTypeA,
aclDataType dataTypeX,
aclDataType dataTypeY,
aclComputeType type,
aclopHandle **handle)

Python Function

handle, ret = acl.blas.create_handle_for_gemv_ex(trans_a, m, n, data_type_a, data_type_x, data_type_y, type)

Parameter Description

Parameter	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.
data_type_a	Int, data type of matrix A.
data_type_x	Int, data type of vector x.
data_type_y	Int, data type of vector y.
type	Int, computation precision.

Return Value Description

Return Value	Description
handle	Int, pointer address of the handle data of the operator to be executed.
ret	Int, error code: 0 on success; else, failure.

Restrictions

A, x, and y support a limited combination of data types, where α and β have the same data types as y.

Data Type of A	Data Type of x	Data Type of y
aclFloat16	aclFloat16	aclFloat16
aclFloat16	aclFloat16	float(float32)
int8_t	int8_t	float(float32)
int8_t	int8_t	int32_t

Parent topic: CBLAS Interfaces (blas)