LpNormalization

LpNormalization - 22

Version

  • name: LpNormalization (GitHub)

  • domain: main

  • since_version: 22

  • function: False

  • support_level: SupportType.COMMON

  • shape inference: True

This version of the operator has been available since version 22.

Summary

Given a matrix, apply Lp-normalization along the provided axis.

Attributes

  • axis - INT (default is '-1'):

    The axis on which to apply normalization, -1 mean last axis.

  • p - INT (default is '2'):

    The order of the normalization, only 1 or 2 are supported.

Inputs

  • input (heterogeneous) - T:

    Input matrix

Outputs

  • output (heterogeneous) - T:

    Matrix after normalization

Type Constraints

  • T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):

    Constrain input and output types to float tensors.

LpNormalization - 1

Version

  • name: LpNormalization (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

Given a matrix, apply Lp-normalization along the provided axis.

Attributes

  • axis - INT (default is '-1'):

    The axis on which to apply normalization, -1 mean last axis.

  • p - INT (default is '2'):

    The order of the normalization, only 1 or 2 are supported.

Inputs

  • input (heterogeneous) - T:

    Input matrix

Outputs

  • output (heterogeneous) - T:

    Matrix after normalization

Type Constraints

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

    Constrain input and output types to float tensors.