hive-gpu 0.2.0

High-performance GPU acceleration for vector operations with Device Info API (Metal, CUDA, ROCm)
Documentation 
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//! # CUDA HNSW Graph
//!
//! GPU-accelerated HNSW graph construction and search using CUDA kernels.

use super::context::CudaContext;
use crate::error::{HiveGpuError, Result};
use crate::types::{GpuDistanceMetric, GpuSearchResult, GpuVector, HnswConfig};
use std::sync::Arc;

/// CUDA HNSW Graph
#[cfg(feature = "cuda")]
#[derive(Debug)]
#[allow(dead_code)] // populated during phase 5 of phase3a_add-cuda-backend
pub struct CudaHnswGraph {
    context: Arc<CudaContext>,
    dimension: usize,
    metric: GpuDistanceMetric,
    config: HnswConfig,
}

#[cfg(feature = "cuda")]
impl CudaHnswGraph {
    /// Create new HNSW graph
    pub fn new(
        context: Arc<CudaContext>,
        dimension: usize,
        metric: GpuDistanceMetric,
        config: HnswConfig,
    ) -> Result<Self> {
        Ok(Self {
            context,
            dimension,
            metric,
            config,
        })
    }

    /// Build HNSW graph from vectors
    pub fn build_graph(&mut self, _vectors: &[GpuVector]) -> Result<()> {
        Err(HiveGpuError::Other(
            "CUDA HNSW graph construction not implemented yet".to_string(),
        ))
    }

    /// Search for similar vectors
    pub fn search(&self, _query: &[f32], _k: usize) -> Result<Vec<GpuSearchResult>> {
        Err(HiveGpuError::Other(
            "CUDA HNSW search not implemented yet".to_string(),
        ))
    }
}