Struct SparsityConfig 

pub struct SparsityConfig {
    pub threshold: Option<f32>,
    pub top_k: Option<usize>,
    pub target_sparsity: Option<f32>,
    pub adaptive_threshold: bool,
}

Configuration for sparsity settings.

Fields

threshold: Option<f32>

Activation threshold τ for neuron selection.

top_k: Option<usize>

Top-K neuron selection (alternative to threshold).

target_sparsity: Option<f32>

Target sparsity ratio (0.0 to 1.0). Used for automatic threshold calibration.

adaptive_threshold: bool

Enable adaptive threshold adjustment.

Implementations

impl SparsityConfig

pub fn with_threshold(threshold: f32) -> Self

Create config with threshold-based selection.

pub fn with_top_k(k: usize) -> Self

Create config with top-K selection.

pub fn with_target_sparsity(sparsity: f32) -> Self

Create config with target sparsity ratio.

pub fn validate(&self) -> Result<(), String>

Validate configuration.

Trait Implementations

impl Clone for SparsityConfig

fn clone(&self) -> SparsityConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparsityConfig

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

Formats the value using the given formatter.

impl Default for SparsityConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SparsityConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SparsityConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.