MatMul

MatMul - 13

Version

  • name: MatMul (GitHub)

  • domain: main

  • since_version: 13

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 13.

Summary

Matrix product that behaves like numpy.matmul.

Inputs

  • A (heterogeneous) - T:

    N-dimensional matrix A

  • B (heterogeneous) - T:

    N-dimensional matrix B

Outputs

  • Y (heterogeneous) - T:

    Matrix multiply results from A * B

Type Constraints

  • T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) ):

    Constrain input and output types to float/int tensors.

MatMul - 9

Version

  • name: MatMul (GitHub)

  • domain: main

  • since_version: 9

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 9.

Summary

Matrix product that behaves like numpy.matmul.

Inputs

  • A (heterogeneous) - T:

    N-dimensional matrix A

  • B (heterogeneous) - T:

    N-dimensional matrix B

Outputs

  • Y (heterogeneous) - T:

    Matrix multiply results from A * B

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) ):

    Constrain input and output types to float/int tensors.

MatMul - 1

Version

  • name: MatMul (GitHub)

  • domain: main

  • since_version: 1

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 1.

Summary

Matrix product that behaves like numpy.matmul.

Inputs

  • A (heterogeneous) - T:

    N-dimensional matrix A

  • B (heterogeneous) - T:

    N-dimensional matrix B

Outputs

  • Y (heterogeneous) - T:

    Matrix multiply results from A * B

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ):

    Constrain input and output types to float tensors.