LpNormalization#
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: The axis on which to apply normalization, -1 mean last axis. Default value is
-1.p: The order of the normalization, only 1 or 2 are supported. Default value is
2.
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.
Examples