is_cuda_available

scirs2_datasets::gpu

Function is_cuda_available 

Source 
pub fn is_cuda_available() -> bool
Expand description

Utility functions for GPU operations Check if CUDA is available on the system

Examples found in repository?
examples/gpu_acceleration.rs (line 50)
45fn demonstrate_gpu_detection() {
46    println!("🔍 GPU DETECTION AND AVAILABILITY");
47    println!("{}", "-".repeat(40));
48
49    println!("CUDA Support:");
50    if is_cuda_available() {
51        println!("  ✅ CUDA is available");
52        println!("  🎯 NVIDIA GPU acceleration supported");
53    } else {
54        println!("  ❌ CUDA not available");
55        println!("  💡 Install CUDA toolkit for NVIDIA GPU support");
56    }
57
58    println!("\nOpenCL Support:");
59    if is_opencl_available() {
60        println!("  ✅ OpenCL is available");
61        println!("  🎯 Multi-vendor GPU acceleration supported");
62    } else {
63        println!("  ❌ OpenCL not available");
64        println!("  💡 Install OpenCL runtime for GPU support");
65    }
66
67    // Get optimal configuration
68    let optimal_config = get_optimal_gpu_config();
69    println!("\nOptimal Configuration:");
70    match optimal_config.backend {
71        GpuBackend::Cuda { device_id } => {
72            println!("  🚀 CUDA backend (device {device_id})");
73        }
74        GpuBackend::OpenCl {
75            platform_id,
76            device_id,
77        } => {
78            println!("  🚀 OpenCL backend (platform {platform_id}, device {device_id})");
79        }
80        GpuBackend::Cpu => {
81            println!("  💻 CPU fallback (no GPU available)");
82        }
83    }
84    println!(
85        "  🧵 Threads per block: {}",
86        optimal_config.threads_per_block
87    );
88    println!(
89        "  🔢 Double precision: {}",
90        optimal_config.enable_double_precision
91    );
92
93    println!();
94}