LRN#

LRN - 1#

Version

  • name: LRN (GitHub)

  • domain: main

  • since_version: 1

  • function:

  • support_level: SupportType.COMMON

  • shape inference: True

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

Summary

Attributes

  • alpha - FLOAT : Scaling parameter.

  • beta - FLOAT : The exponent.

  • bias - FLOAT :

  • size - INT (required) : The number of channels to sum over

Inputs

  • X (heterogeneous) - T:

Outputs

  • Y (heterogeneous) - T:

Type Constraints

  • T in ( tensor(double), tensor(float), tensor(float16) ): Constrain input and output types to float tensors.