Struct GPUGradientComputer 

pub struct GPUGradientComputer { /* private fields */ }

GPU-accelerated constraint gradient computation

Implementations

impl GPUGradientComputer

pub fn new() -> Self

Create a new GPU gradient computer

pub fn with_epsilon(self, eps: f32) -> Self

Set epsilon for finite differences

pub fn compute_batch_gradients<C: ViolationComputable + Clone>( &self, points: &Array2<f32>, constraint: &C, ) -> LogicResult<Array2<f32>>

Compute gradient of constraint violation for a batch

Returns Array2 of shape (n_points, n_dims) containing gradients

pub fn compute_hessian<C: ViolationComputable>( &self, point: &[f32], constraint: &C, ) -> LogicResult<Array2<f32>>

Compute Hessian of constraint violation (second-order information)

Useful for Newton-based optimization

pub fn is_gpu_available(&self) -> bool

Check if GPU is available

Trait Implementations

impl Default for GPUGradientComputer

fn default() -> Self

Returns the “default value” for a type.