MeanVarianceNormalization

MeanVarianceNormalization - 1

Version

• name: MeanVarianceNormalization (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

• across_channels - INT : If 1, mean and variance are computed across channels. Default is 0.

• normalize_variance - INT : If 0, normalize the mean only. Default is 1.

Inputs

• input (heterogeneous) - T:

Outputs

• output (heterogeneous) - T:

Type Constraints

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