Struct BatchNorm2dLayer 

pub struct BatchNorm2dLayer { /* private fields */ }

2D batch normalization layer (NHWC layout).

Supports both inference-mode (raw tensor) and graph-mode (autograd training). Stores learned gamma/beta and running mean/variance.

Implementations

impl BatchNorm2dLayer

pub fn new( num_features: usize, epsilon: f32, gamma: Tensor, beta: Tensor, running_mean: Tensor, running_var: Tensor, ) -> Result<Self, ModelError>

pub fn identity_init( num_features: usize, epsilon: f32, ) -> Result<Self, ModelError>

Unit-scale/zero-shift initialization with zero running statistics.

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

Registers gamma/beta as graph variables (trainable), running stats as constants.

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

pub fn num_features(&self) -> usize

pub fn epsilon(&self) -> f32

pub fn gamma(&self) -> &Tensor

pub fn beta(&self) -> &Tensor

pub fn running_mean(&self) -> &Tensor

pub fn running_var(&self) -> &Tensor

pub fn gamma_mut(&mut self) -> &mut Tensor

pub fn beta_mut(&mut self) -> &mut Tensor

pub fn running_mean_mut(&mut self) -> &mut Tensor

pub fn running_var_mut(&mut self) -> &mut Tensor

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 BatchNorm2dLayer

fn clone(&self) -> BatchNorm2dLayer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for BatchNorm2dLayer

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

Formats the value using the given formatter.

impl PartialEq for BatchNorm2dLayer

fn eq(&self, other: &BatchNorm2dLayer) -> 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 BatchNorm2dLayer