Struct InstanceNormLayer 

pub struct InstanceNormLayer { /* private fields */ }

Instance normalization (normalizes per-sample per-channel).

NHWC layout: [batch, H, W, C].

Implementations

impl InstanceNormLayer

pub fn new(num_features: usize, eps: f32) -> Result<Self, ModelError>

pub fn register_params(&mut self, graph: &mut Graph)

pub fn sync_from_graph(&mut self, graph: &Graph) -> Result<(), ModelError>

pub fn gamma_node(&self) -> Option<NodeId>

pub fn beta_node(&self) -> Option<NodeId>

pub fn forward( &self, graph: &mut Graph, input: NodeId, ) -> Result<NodeId, ModelError>

pub fn forward_inference(&self, input: &Tensor) -> Result<Tensor, ModelError>

Trait Implementations

impl Clone for InstanceNormLayer

fn clone(&self) -> InstanceNormLayer

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for InstanceNormLayer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for InstanceNormLayer

fn eq(&self, other: &InstanceNormLayer) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for InstanceNormLayer