sklears_compose/resource_management/
gpu_manager.rs

1//! GPU resource management
2
3use super::resource_types::GpuAllocation;
4use sklears_core::error::Result as SklResult;
5use std::collections::HashMap;
6
7/// GPU resource manager
8#[derive(Debug)]
9pub struct GpuResourceManager {
10    /// GPU devices
11    devices: Vec<GpuDevice>,
12    /// Active allocations
13    allocations: HashMap<String, GpuAllocation>,
14}
15
16/// GPU device information
17#[derive(Debug, Clone)]
18pub struct GpuDevice {
19    /// Device ID
20    pub device_id: String,
21    /// Device name
22    pub name: String,
23    /// Memory size
24    pub memory_size: u64,
25    /// Available memory
26    pub available_memory: u64,
27}
28
29impl Default for GpuResourceManager {
30    fn default() -> Self {
31        Self::new()
32    }
33}
34
35impl GpuResourceManager {
36    /// Create a new GPU resource manager
37    #[must_use]
38    pub fn new() -> Self {
39        Self {
40            devices: Vec::new(),
41            allocations: HashMap::new(),
42        }
43    }
44
45    /// Allocate GPU resources
46    pub fn allocate_gpu(&mut self, device_count: usize) -> SklResult<GpuAllocation> {
47        Ok(GpuAllocation {
48            devices: Vec::new(),
49            memory_pools: Vec::new(),
50            compute_streams: Vec::new(),
51            context: None,
52        })
53    }
54
55    /// Release GPU allocation
56    pub fn release_gpu(&mut self, allocation: &GpuAllocation) -> SklResult<()> {
57        Ok(())
58    }
59}
sklears_compose/resource_management/gpu_manager.rs

sklears_compose/resource_management/
gpu_manager.rs
