Struct TensorCoreOptimizer 

pub struct TensorCoreOptimizer { /* private fields */ }

Tensor core enhanced optimizer

Implementations

impl TensorCoreOptimizer

pub fn new(config: TensorCoreConfig) -> Result<Self, GpuOptimError>

Create new tensor core optimizer

pub fn optimize_layout(&mut self, m: usize, n: usize, k: usize) -> OptimalLayout

Optimize matrix layout for tensor core operations

pub fn tensor_core_gemm<T: Float + Debug + Send + Sync + 'static>( &self, a: &Array2<T>, b: &Array2<T>, c: &mut Array2<T>, alpha: T, beta: T, precision: TensorCorePrecision, ) -> Result<(), GpuOptimError>

Perform tensor core optimized matrix multiplication

pub fn fused_adam_tensor_core<T: Float + Debug + Send + Sync + 'static>( &self, params: &mut Array2<T>, grads: &Array2<T>, exp_avg: &mut Array2<T>, exp_avg_sq: &mut Array2<T>, adam_params: &AdamParams<T>, ) -> Result<(), GpuOptimError>

Fused Adam update with tensor core optimization

pub fn get_tensor_core_info(&self) -> TensorCoreInfo

Get tensor core capability information

pub fn create_mixed_precision_trainer( &self, ) -> Result<MixedPrecisionTrainer, GpuOptimError>

Automatic mixed precision trainer for optimizers

pub fn sparse_tensor_core_gemm<T: Float + Debug + Send + Sync + 'static>( &self, a: &Array2<T>, b_sparse: &SparseTensorCoreMatrix<T>, c: &mut Array2<T>, alpha: T, beta: T, ) -> Result<(), GpuOptimError>

Sparse tensor core optimization for 2:4 structured sparsity

pub fn multi_batch_tensor_core_ops<T: Float + Debug + Send + Sync + 'static>( &self, batches: &[TensorCoreBatch<T>], precision: TensorCorePrecision, ) -> Result<Vec<Array2<T>>, GpuOptimError>

Multi-batch tensor core operations for large-scale training

pub fn optimized_pipeline_gemm<T: Float + Debug + Send + Sync + 'static>( &self, operations: &[TensorCoreOperation<T>], pipeline_config: PipelineOptimizationConfig, ) -> Result<Vec<Array2<T>>, GpuOptimError>

Advanced pipeline optimization for tensor core operations

pub fn optimize_memory_access_patterns<T: Float + Debug + Send + Sync + 'static>( &mut self, matrices: &[Array2<T>], ) -> Result<Vec<OptimizedMatrix<T>>, GpuOptimError>

Dynamic memory coalescing optimization

pub fn adaptive_tensor_core_scheduling<T: Float + Debug + Send + Sync + 'static>( &mut self, workload: &TensorCoreWorkload<T>, ) -> Result<SchedulingPlan, GpuOptimError>

Adaptive tensor core scheduling based on hardware utilization

pub fn benchmark_tensor_core_performance( &self, ) -> Result<TensorCorePerformanceBenchmark, GpuOptimError>

Benchmark tensor core performance for different configurations