Struct NeuralAdaptiveSparseProcessor 

pub struct NeuralAdaptiveSparseProcessor { /* private fields */ }

Neural-adaptive sparse matrix processor

Implementations

impl NeuralAdaptiveSparseProcessor

pub fn new(config: NeuralAdaptiveConfig) -> Self

Create a new neural-adaptive sparse matrix processor

pub fn optimize_operation<T>( &mut self, matrix_features: &[f64], operation_context: &OperationContext, ) -> SparseResult<OptimizationStrategy>

where T: Float + NumAssign + SimdUnifiedOps + Debug + Copy + Send + Sync + 'static,

Process sparse matrix operation with adaptive optimization

pub fn learn_from_performance( &mut self, strategy: OptimizationStrategy, performance: PerformanceMetrics, matrix_features: &[f64], operation_context: &OperationContext, ) -> SparseResult<()>

Learn from operation performance

pub fn get_statistics(&self) -> NeuralProcessorStats

Get processor statistics

pub fn update_target_networks(&mut self)

Update target networks (for DQN)

pub fn save_state(&self) -> ProcessorState

Save processor state

pub fn load_state(&mut self, state: ProcessorState)

Load processor state

pub fn adaptive_spmv<T>( &mut self, rows: &[usize], cols: &[usize], indptr: &[usize], indices: &[usize], data: &[T], x: &[T], y: &mut [T], ) -> SparseResult<()>

where T: Float + NumAssign + SimdUnifiedOps + Debug + Copy + Send + Sync + 'static,

Adaptive sparse matrix-vector multiplication