asdMul

Applicable Products

Hardware Model	Supported or Not
Atlas 200I/500 A2 inference products	Not supported
Atlas inference products	Not supported
Atlas training products	Not supported
Atlas A2 training products/Atlas A2 inference products	Supported
Atlas A3 inference products/Atlas A3 training products	Not supported

Function Description

API function: This API supports the element-wise product (Hadamard) capability of vectors. It returns a complex matrix with the same shape and size as the input matrix.

Formula:

The calculation formula of asdMul is $\text{[math]}$ . That is, the elements in the corresponding positions of two matrices are multiplied.

Example:

Input A:

[ [ 1+1i, 1+1i ],
  [ 2+2i, 2+2i ] ]

Input B:

[ [ 1+1i, 1+1i ],
  [ 2+2i, 2+2i ] ]

After the asdMul operator is called, the output result is as follows:

[ [ 0+2i, 0+2i ],
  [ 0+8i, 0+8i ] ]

Function Prototype

AspbStatus asdMul(int n, const void *x, const void *y, const void *z, void *stream, void *workspace = nullptr)

Parameter Description

asdMul

Parameter	Input/Output	Type	Description
n	Input	int	Number of input elements.
x	Input	const void *	A in the formula, which is a tensor on the device. The data type can be COMPLEX32 or COMPLEX64, the data format can be ND, and the shape is [n].
y	Input	const void *	B in the formula, tensor on the device. The data type can be COMPLEX32 or COMPLEX64, the data format can be ND, and the shape is [n].
z	Input	const void *	result in the formula, which is a tensor on the device. The data type can be COMPLEX32 or COMPLEX64, the data format can be ND, and the shape is [n].
stream	Input	void*	NPU execution stream.
workspace	Input	void *	Workspace required by the asdMul operator.

Return Value Description

For details about the return values, see Return Value.

Constraints

asdMul

The supported input data types are COMPLEX32 and COMPLEX64.
The supported output data types are COMPLEX32 and COMPLEX64.

The theoretical range of the number of input elements n is [1, 9.22e+18].
The input shape of the operator is [n] and [n], and the output shape is [n].

Calling Example

For details about the operator calling example, see mul_complex32 or mul_complex64.

Parent topic: Base