hive-gpu 0.2.0

High-performance GPU acceleration for vector operations with Device Info API (Metal, CUDA, ROCm)
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54

//! # Metal Native HNSW Graph
//!
//! GPU-accelerated HNSW graph construction and search using Metal compute shaders.

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

/// Metal Native HNSW Graph
#[cfg(all(target_os = "macos", feature = "metal-native"))]
#[derive(Debug)]
pub struct MetalNativeHnswGraph {
    context: Arc<MetalNativeContext>,
    dimension: usize,
    metric: GpuDistanceMetric,
    config: HnswConfig,
}

#[cfg(all(target_os = "macos", feature = "metal-native"))]
impl MetalNativeHnswGraph {
    /// Create new HNSW graph
    pub fn new(
        context: Arc<MetalNativeContext>,
        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<()> {
        // This is a placeholder implementation
        // In practice, you'd implement GPU-accelerated HNSW construction using Metal shaders
        Err(HiveGpuError::Other(
            "HNSW graph construction not implemented yet".to_string(),
        ))
    }

    /// Search for similar vectors
    pub fn search(&self, query: &[f32], k: usize) -> Result<Vec<GpuSearchResult>> {
        // This is a placeholder implementation
        // In practice, you'd implement GPU-accelerated HNSW search using Metal shaders
        Err(HiveGpuError::Other(
            "HNSW search not implemented yet".to_string(),
        ))
    }
}