oxirs_vec/gpu/
runtime.rs

1//! CUDA runtime types and utilities
2
3use std::time::Duration;
4
5/// CUDA stream wrapper
6#[derive(Debug)]
7pub struct CudaStream {
8    pub handle: *mut std::ffi::c_void,
9    pub device_id: i32,
10}
11
12unsafe impl Send for CudaStream {}
13unsafe impl Sync for CudaStream {}
14
15impl CudaStream {
16    pub fn new(device_id: i32) -> anyhow::Result<Self> {
17        #[cfg(feature = "cuda")]
18        {
19            // CUDA functionality temporarily disabled for compilation compatibility
20            // TODO: Implement proper CUDA runtime integration
21            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
22        }
23
24        #[cfg(not(feature = "cuda"))]
25        {
26            Ok(Self {
27                handle: std::ptr::null_mut(),
28                device_id,
29            })
30        }
31    }
32
33    pub fn synchronize(&self) -> anyhow::Result<()> {
34        #[cfg(feature = "cuda")]
35        {
36            // CUDA functionality temporarily disabled
37            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
38        }
39
40        #[cfg(not(feature = "cuda"))]
41        {
42            Ok(())
43        }
44    }
45}
46
47impl Drop for CudaStream {
48    fn drop(&mut self) {
49        #[cfg(feature = "cuda")]
50        {
51            // CUDA cleanup temporarily disabled
52        }
53    }
54}
55
56/// CUDA kernel wrapper
57#[derive(Debug)]
58pub struct CudaKernel {
59    pub function: *mut std::ffi::c_void,
60    pub module: *mut std::ffi::c_void,
61    pub name: String,
62}
63
64unsafe impl Send for CudaKernel {}
65unsafe impl Sync for CudaKernel {}
66
67impl CudaKernel {
68    #[allow(unused_variables)]
69    pub fn load(ptx_code: &str, function_name: &str) -> anyhow::Result<Self> {
70        #[cfg(feature = "cuda")]
71        {
72            // CUDA functionality temporarily disabled for compilation compatibility
73            Err(anyhow::anyhow!("CUDA support needs proper implementation"))
74        }
75
76        #[cfg(not(feature = "cuda"))]
77        {
78            Ok(Self {
79                function: std::ptr::null_mut(),
80                module: std::ptr::null_mut(),
81                name: function_name.to_string(),
82            })
83        }
84    }
85}
86
87impl Drop for CudaKernel {
88    fn drop(&mut self) {
89        #[cfg(feature = "cuda")]
90        {
91            // CUDA cleanup temporarily disabled
92        }
93    }
94}
95
96/// GPU performance statistics
97#[derive(Debug, Default, Clone)]
98pub struct GpuPerformanceStats {
99    pub total_operations: u64,
100    pub total_compute_time: Duration,
101    pub total_memory_transfers: u64,
102    pub total_transfer_time: Duration,
103    pub peak_memory_usage: usize,
104    pub current_memory_usage: usize,
105}
106
107impl GpuPerformanceStats {
108    pub fn new() -> Self {
109        Self::default()
110    }
111
112    pub fn record_operation(&mut self, compute_time: Duration) {
113        self.total_operations += 1;
114        self.total_compute_time += compute_time;
115    }
116
117    pub fn record_transfer(&mut self, transfer_time: Duration) {
118        self.total_memory_transfers += 1;
119        self.total_transfer_time += transfer_time;
120    }
121
122    pub fn update_memory_usage(&mut self, current: usize) {
123        self.current_memory_usage = current;
124        if current > self.peak_memory_usage {
125            self.peak_memory_usage = current;
126        }
127    }
128
129    pub fn average_compute_time(&self) -> Duration {
130        if self.total_operations > 0 {
131            self.total_compute_time / self.total_operations as u32
132        } else {
133            Duration::ZERO
134        }
135    }
136
137    pub fn average_transfer_time(&self) -> Duration {
138        if self.total_memory_transfers > 0 {
139            self.total_transfer_time / self.total_memory_transfers as u32
140        } else {
141            Duration::ZERO
142        }
143    }
144
145    pub fn throughput_ops_per_sec(&self) -> f64 {
146        if !self.total_compute_time.is_zero() {
147            self.total_operations as f64 / self.total_compute_time.as_secs_f64()
148        } else {
149            0.0
150        }
151    }
152}
oxirs_vec/gpu/runtime.rs

oxirs_vec/gpu/
runtime.rs
