Struct InstanceNorm 

pub struct InstanceNorm { /* private fields */ }

Instance Normalization Normalizes each channel independently for each sample

Implementations

impl InstanceNorm

pub fn new(num_channels: usize) -> Self

pub fn with_eps(num_channels: usize, eps: f32) -> Self

Trait Implementations

impl Module for InstanceNorm

fn forward(&self, input: &Tensor) -> Tensor

Forward pass

fn parameters(&self) -> Vec<Tensor>

Get all trainable parameters

fn train(&mut self)

Set module to training mode

fn eval(&mut self)

Set module to evaluation mode

fn is_training(&self) -> bool

Check if in training mode

fn num_parameters(&self) -> usize

Number of trainable parameters