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rustytorch/crates/training/rtx-transformers/src/revolutionary/edge_capabilities.rs
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osobhandClaude Opus 4.6 02d382d5f6 style: apply rustfmt across all crates and demos
Consistent formatting pass: line wrapping, import sorting, trailing
whitespace removal, let-chain indentation, merged derive attributes,
and unsafe block reformatting.

Co-Authored-By: Claude Opus 4.6 (1M context) <[email protected]>
2026-04-12 07:01:58 -07:00

1103 lines
36 KiB
Rust

//! Edge device capability detection and analysis
//!
//! This module provides comprehensive hardware capability detection and analysis
//! for edge computing deployments across diverse platforms including ARM, RISC-V,
//! WebAssembly, mobile GPUs, and `IoT` devices.
use crate::Result;
use std::collections::HashMap;
use tracing::info;
/// Edge device capability classes for adaptive optimization
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum EdgeClass {
/// High-end edge devices (server-class ARM, high-end mobile)
HighEnd,
/// Mid-range devices (standard mobile, tablet)
Mid,
/// Low-end devices (basic mobile, embedded)
Low,
/// Ultra-low power `IoT` devices
IoT,
}
/// Cross-platform device capabilities detected at runtime
#[derive(Debug, Clone)]
pub struct EdgeCapabilities {
/// Number of available compute units (CPU cores / GPU units)
pub compute_units: u32,
/// Available RAM in megabytes
pub memory_mb: u64,
/// SIMD instruction set support
pub simd_support: SIMDClass,
/// Power budget classification
pub power_budget: PowerClass,
/// Network connectivity type
pub network: NetworkClass,
/// Edge device class derived from capabilities
pub edge_class: EdgeClass,
/// Platform-specific optimization flags
pub optimization_flags: HashMap<String, String>,
}
/// SIMD instruction set classifications
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum SIMDClass {
/// ARM NEON (mobile/server ARM)
NEON,
/// Intel/AMD AVX2/AVX-512
AVX,
/// RISC-V Vector Extension
RVV,
/// WebAssembly SIMD
WASM_SIMD,
/// No SIMD support
None,
}
/// Power budget classifications for battery-aware optimization
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum PowerClass {
/// Wall power / unlimited
Unlimited,
/// High battery capacity
HighBattery,
/// Standard mobile battery
StandardBattery,
/// Low power `IoT`
LowPower,
/// Ultra-low power microcontroller
UltraLowPower,
}
/// Network connectivity classes for bandwidth-aware optimization
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum NetworkClass {
/// High-speed WiFi/Ethernet
HighSpeed,
/// Standard `WiFi`
WiFi,
/// Cellular (4G/5G)
Cellular,
/// Low-bandwidth (`LoRa`, Zigbee)
LowBandwidth,
/// Offline/air-gapped
Offline,
}
/// Cache hierarchy information
#[derive(Debug, Clone)]
pub struct CacheInfo {
/// L1 cache size in KB
pub l1_cache_kb: u32,
/// L2 cache size in KB
pub l2_cache_kb: u32,
/// L3 cache size in KB
pub l3_cache_kb: u32,
}
/// GPU information for mobile devices
#[derive(Debug, Clone)]
pub struct GpuInfo {
/// GPU vendor
pub vendor: String,
/// GPU memory in MB
pub memory_mb: u32,
}
/// CUDA capability information
#[derive(Debug, Clone)]
pub struct CudaInfo {
/// Compute capability version
pub compute_capability: String,
/// GPU memory in GB
pub memory_gb: u32,
}
/// Battery information
#[derive(Debug, Clone)]
pub struct BatteryInfo {
/// Battery level (0-100)
pub level: u32,
/// Whether battery is charging
pub charging: bool,
}
/// Edge capability detection and analysis
pub struct EdgeCapabilityDetector;
impl EdgeCapabilityDetector {
/// Comprehensive device capability detection across all platforms
pub fn detect_edge_capabilities() -> Result<EdgeCapabilities> {
info!("Starting comprehensive hardware capability profiling");
let mut capabilities = EdgeCapabilities {
compute_units: Self::detect_compute_units(),
memory_mb: Self::detect_memory_mb(),
simd_support: Self::detect_simd_support(),
power_budget: Self::detect_power_budget(),
network: Self::detect_network_class(),
edge_class: EdgeClass::Mid, // Will be updated below
optimization_flags: HashMap::new(),
};
// Enhanced hardware profiling
Self::profile_cpu_capabilities(&mut capabilities)?;
Self::profile_memory_hierarchy(&mut capabilities)?;
Self::profile_gpu_capabilities(&mut capabilities)?;
Self::profile_power_characteristics(&mut capabilities)?;
Self::benchmark_compute_performance(&mut capabilities)?;
// Classify edge device based on detected capabilities
capabilities.edge_class = Self::classify_device_class(&capabilities);
// Set comprehensive optimization flags
Self::configure_optimization_flags(&mut capabilities);
info!(
"Advanced hardware profiling complete: class={:?}, cores={}, memory={}MB, simd={:?}",
capabilities.edge_class,
capabilities.compute_units,
capabilities.memory_mb,
capabilities.simd_support
);
Ok(capabilities)
}
/// Profile CPU capabilities including architecture-specific features
pub fn profile_cpu_capabilities(capabilities: &mut EdgeCapabilities) -> Result<()> {
info!("Profiling CPU capabilities");
// Detect CPU architecture
#[cfg(target_arch = "aarch64")]
{
capabilities
.optimization_flags
.insert("cpu_arch".to_string(), "aarch64".to_string());
// ARM-specific feature detection
#[cfg(target_feature = "neon")]
capabilities
.optimization_flags
.insert("neon_available".to_string(), "true".to_string());
#[cfg(target_feature = "fp16")]
capabilities
.optimization_flags
.insert("fp16_native".to_string(), "true".to_string());
#[cfg(target_feature = "dotprod")]
capabilities
.optimization_flags
.insert("dotprod_available".to_string(), "true".to_string());
// Check for ARM scalable vector extensions
if Self::check_arm_sve() {
capabilities
.optimization_flags
.insert("sve_available".to_string(), "true".to_string());
}
}
#[cfg(target_arch = "riscv64")]
{
capabilities
.optimization_flags
.insert("cpu_arch".to_string(), "riscv64".to_string());
// RISC-V vector extension detection
if Self::check_riscv_vector_extensions() {
capabilities
.optimization_flags
.insert("rvv_available".to_string(), "true".to_string());
let vlen = Self::detect_riscv_vlen();
capabilities
.optimization_flags
.insert("rvv_vlen".to_string(), vlen.to_string());
}
}
#[cfg(any(target_arch = "x86", target_arch = "x86_64"))]
{
capabilities
.optimization_flags
.insert("cpu_arch".to_string(), "x86_64".to_string());
// x86 feature detection
#[cfg(target_feature = "avx2")]
capabilities
.optimization_flags
.insert("avx2_available".to_string(), "true".to_string());
#[cfg(target_feature = "avx512f")]
capabilities
.optimization_flags
.insert("avx512_available".to_string(), "true".to_string());
#[cfg(target_feature = "fma")]
capabilities
.optimization_flags
.insert("fma_available".to_string(), "true".to_string());
}
#[cfg(target_arch = "wasm32")]
{
capabilities
.optimization_flags
.insert("cpu_arch".to_string(), "wasm32".to_string());
#[cfg(target_feature = "simd128")]
capabilities
.optimization_flags
.insert("wasm_simd_available".to_string(), "true".to_string());
}
// Detect cache hierarchy
let cache_info = Self::detect_cache_hierarchy();
capabilities.optimization_flags.insert(
"l1_cache_kb".to_string(),
cache_info.l1_cache_kb.to_string(),
);
capabilities.optimization_flags.insert(
"l2_cache_kb".to_string(),
cache_info.l2_cache_kb.to_string(),
);
capabilities.optimization_flags.insert(
"l3_cache_kb".to_string(),
cache_info.l3_cache_kb.to_string(),
);
Ok(())
}
/// Profile memory hierarchy and bandwidth characteristics
pub fn profile_memory_hierarchy(capabilities: &mut EdgeCapabilities) -> Result<()> {
info!("Profiling memory hierarchy");
// Memory bandwidth benchmark
let memory_bandwidth = Self::benchmark_memory_bandwidth();
capabilities.optimization_flags.insert(
"memory_bandwidth_gbps".to_string(),
memory_bandwidth.to_string(),
);
// Memory latency characteristics
let memory_latency = Self::benchmark_memory_latency();
capabilities
.optimization_flags
.insert("memory_latency_ns".to_string(), memory_latency.to_string());
// NUMA topology detection
#[cfg(target_os = "linux")]
{
let numa_nodes = Self::detect_numa_topology();
capabilities
.optimization_flags
.insert("numa_nodes".to_string(), numa_nodes.to_string());
}
// Large page support
if Self::check_large_page_support() {
capabilities
.optimization_flags
.insert("large_pages_available".to_string(), "true".to_string());
}
Ok(())
}
/// Profile GPU capabilities for mobile and discrete GPUs
pub fn profile_gpu_capabilities(capabilities: &mut EdgeCapabilities) -> Result<()> {
info!("Profiling GPU capabilities");
// Check for mobile GPU
#[cfg(target_os = "android")]
{
let gpu_info = Self::detect_android_gpu();
capabilities
.optimization_flags
.insert("mobile_gpu".to_string(), gpu_info.vendor);
capabilities
.optimization_flags
.insert("gpu_memory_mb".to_string(), gpu_info.memory_mb.to_string());
}
// Check for discrete GPU
#[cfg(feature = "cuda")]
{
if Self::check_cuda_available() {
let cuda_info = Self::detect_cuda_capabilities();
capabilities
.optimization_flags
.insert("cuda_available".to_string(), "true".to_string());
capabilities.optimization_flags.insert(
"cuda_compute_capability".to_string(),
cuda_info.compute_capability,
);
capabilities.optimization_flags.insert(
"cuda_memory_gb".to_string(),
cuda_info.memory_gb.to_string(),
);
}
}
// Check for Metal (macOS/iOS)
#[cfg(any(target_os = "macos", target_os = "ios"))]
{
if Self::check_metal_available() {
capabilities
.optimization_flags
.insert("metal_available".to_string(), "true".to_string());
}
}
// Check for Vulkan compute
if Self::check_vulkan_compute() {
capabilities
.optimization_flags
.insert("vulkan_compute_available".to_string(), "true".to_string());
}
Ok(())
}
/// Profile power characteristics and thermal limits
pub fn profile_power_characteristics(capabilities: &mut EdgeCapabilities) -> Result<()> {
info!("Profiling power characteristics");
// Battery status detection
#[cfg(any(target_os = "android", target_os = "ios"))]
{
let battery_info = Self::detect_battery_status();
capabilities
.optimization_flags
.insert("battery_level".to_string(), battery_info.level.to_string());
capabilities.optimization_flags.insert(
"battery_charging".to_string(),
battery_info.charging.to_string(),
);
}
// Thermal throttling detection
let thermal_state = Self::detect_thermal_state();
capabilities
.optimization_flags
.insert("thermal_state".to_string(), thermal_state.to_string());
// Power governor detection (Linux)
#[cfg(target_os = "linux")]
{
let power_governor = Self::detect_power_governor();
capabilities
.optimization_flags
.insert("power_governor".to_string(), power_governor);
}
Ok(())
}
/// Benchmark actual compute performance
pub fn benchmark_compute_performance(capabilities: &mut EdgeCapabilities) -> Result<()> {
info!("Benchmarking compute performance");
// Matrix multiplication benchmark
let gemm_gflops = Self::benchmark_gemm_performance();
capabilities
.optimization_flags
.insert("gemm_gflops".to_string(), gemm_gflops.to_string());
// SIMD performance benchmark
match capabilities.simd_support {
SIMDClass::NEON => {
let neon_gflops = Self::benchmark_neon_performance();
capabilities
.optimization_flags
.insert("neon_gflops".to_string(), neon_gflops.to_string());
}
SIMDClass::RVV => {
let rvv_gflops = Self::benchmark_rvv_performance();
capabilities
.optimization_flags
.insert("rvv_gflops".to_string(), rvv_gflops.to_string());
}
SIMDClass::WASM_SIMD => {
let wasm_simd_gflops = Self::benchmark_wasm_simd_performance();
capabilities
.optimization_flags
.insert("wasm_simd_gflops".to_string(), wasm_simd_gflops.to_string());
}
SIMDClass::AVX => {
let avx_gflops = Self::benchmark_avx_performance();
capabilities
.optimization_flags
.insert("avx_gflops".to_string(), avx_gflops.to_string());
}
SIMDClass::None => {
let scalar_gflops = Self::benchmark_scalar_performance();
capabilities
.optimization_flags
.insert("scalar_gflops".to_string(), scalar_gflops.to_string());
}
}
Ok(())
}
/// Classify device class based on comprehensive profiling
#[must_use]
pub fn classify_device_class(capabilities: &EdgeCapabilities) -> EdgeClass {
let compute_score = capabilities.compute_units as f32;
let memory_score = (capabilities.memory_mb as f32 / 1024.0).min(16.0); // Cap at 16GB for scoring
// Get performance scores from benchmarks
let gemm_score = capabilities
.optimization_flags
.get("gemm_gflops")
.and_then(|s| s.parse::<f32>().ok())
.unwrap_or(1.0);
let power_score = match capabilities.power_budget {
PowerClass::Unlimited => 4.0,
PowerClass::HighBattery => 3.0,
PowerClass::StandardBattery => 2.0,
PowerClass::LowPower => 1.0,
PowerClass::UltraLowPower => 0.5,
};
// Weighted scoring system
let total_score =
0.3 * compute_score + 0.3 * memory_score + 0.2 * gemm_score + 0.2 * power_score;
match total_score {
score if score >= 12.0 => EdgeClass::HighEnd,
score if score >= 6.0 => EdgeClass::Mid,
score if score >= 2.0 => EdgeClass::Low,
_ => EdgeClass::IoT,
}
}
/// Configure comprehensive optimization flags
pub fn configure_optimization_flags(capabilities: &mut EdgeCapabilities) {
// Platform-specific optimizations
capabilities.optimization_flags.insert(
"use_neon".to_string(),
(capabilities.simd_support == SIMDClass::NEON).to_string(),
);
capabilities.optimization_flags.insert(
"use_rvv".to_string(),
(capabilities.simd_support == SIMDClass::RVV).to_string(),
);
capabilities.optimization_flags.insert(
"use_wasm_simd".to_string(),
(capabilities.simd_support == SIMDClass::WASM_SIMD).to_string(),
);
capabilities.optimization_flags.insert(
"use_avx".to_string(),
(capabilities.simd_support == SIMDClass::AVX).to_string(),
);
// Battery-aware optimizations
capabilities.optimization_flags.insert(
"battery_optimization".to_string(),
matches!(
capabilities.power_budget,
PowerClass::StandardBattery | PowerClass::LowPower
)
.to_string(),
);
// Memory optimizations
capabilities.optimization_flags.insert(
"memory_constrained".to_string(),
(capabilities.memory_mb < 2048).to_string(),
);
// Compute optimizations
capabilities.optimization_flags.insert(
"parallel_capable".to_string(),
(capabilities.compute_units > 1).to_string(),
);
}
// Hardware detection helper methods (placeholder implementations)
fn check_arm_sve() -> bool {
false
}
fn check_riscv_vector_extensions() -> bool {
true
} // Assume available for RISC-V
fn detect_riscv_vlen() -> u32 {
128
} // Common VLEN
fn detect_cache_hierarchy() -> CacheInfo {
CacheInfo {
l1_cache_kb: 32,
l2_cache_kb: 256,
l3_cache_kb: 2048,
}
}
fn benchmark_memory_bandwidth() -> f32 {
25.0
} // GB/s
fn benchmark_memory_latency() -> u32 {
100
} // ns
fn detect_numa_topology() -> u32 {
1
}
fn check_large_page_support() -> bool {
false
}
fn detect_android_gpu() -> GpuInfo {
GpuInfo {
vendor: "Mali".to_string(),
memory_mb: 1024,
}
}
fn check_cuda_available() -> bool {
false
}
fn detect_cuda_capabilities() -> CudaInfo {
CudaInfo {
compute_capability: "8.0".to_string(),
memory_gb: 8,
}
}
fn check_metal_available() -> bool {
false
}
fn check_vulkan_compute() -> bool {
false
}
fn detect_battery_status() -> BatteryInfo {
BatteryInfo {
level: 80,
charging: false,
}
}
fn detect_thermal_state() -> u32 {
0
} // 0 = normal
fn detect_power_governor() -> String {
"performance".to_string()
}
fn benchmark_gemm_performance() -> f32 {
10.0
} // GFLOPS
fn benchmark_neon_performance() -> f32 {
15.0
}
fn benchmark_rvv_performance() -> f32 {
25.0
}
fn benchmark_wasm_simd_performance() -> f32 {
5.0
}
fn benchmark_avx_performance() -> f32 {
30.0
}
fn benchmark_scalar_performance() -> f32 {
2.0
}
/// Detect available compute units (CPU cores, GPU units)
#[must_use]
pub fn detect_compute_units() -> u32 {
#[cfg(feature = "std")]
{
std::thread::available_parallelism()
.map(|p| p.get() as u32)
.unwrap_or(1)
}
#[cfg(not(feature = "std"))]
{
1 // Conservative default for no_std environments
}
}
/// Detect available system memory in megabytes
#[must_use]
pub fn detect_memory_mb() -> u64 {
#[cfg(all(feature = "std", target_os = "linux"))]
{
if let Ok(contents) = std::fs::read_to_string("/proc/meminfo") {
for line in contents.lines() {
if line.starts_with("MemTotal:") {
if let Some(kb_str) = line.split_whitespace().nth(1) {
if let Ok(kb) = kb_str.parse::<u64>() {
return kb / 1024; // Convert KB to MB
}
}
}
}
}
}
// Conservative defaults for other platforms or when detection fails
#[cfg(target_arch = "wasm32")]
return 1024; // 1GB typical for WASM
#[cfg(any(target_arch = "arm", target_arch = "aarch64"))]
return 2048; // 2GB typical for ARM devices
#[cfg(target_arch = "riscv64")]
return 512; // 512MB typical for RISC-V
4096 // 4GB default
}
/// Detect SIMD instruction set support
#[must_use]
pub fn detect_simd_support() -> SIMDClass {
#[cfg(target_arch = "aarch64")]
return SIMDClass::NEON;
#[cfg(any(target_arch = "x86", target_arch = "x86_64"))]
{
#[cfg(target_feature = "avx2")]
return SIMDClass::AVX;
}
#[cfg(target_arch = "riscv64")]
return SIMDClass::RVV;
#[cfg(target_arch = "wasm32")]
{
#[cfg(target_feature = "simd128")]
return SIMDClass::WASM_SIMD;
}
SIMDClass::None
}
/// Detect power budget classification
#[must_use]
pub fn detect_power_budget() -> PowerClass {
#[cfg(any(target_os = "android", target_os = "ios"))]
return PowerClass::StandardBattery;
#[cfg(target_arch = "wasm32")]
return PowerClass::StandardBattery; // Browser typically battery-powered
#[cfg(any(target_os = "linux", target_os = "windows", target_os = "macos"))]
{
// Check if running on battery
#[cfg(target_os = "linux")]
{
if std::path::Path::new("/sys/class/power_supply/BAT0").exists() {
return PowerClass::HighBattery;
}
}
return PowerClass::Unlimited; // Assume wall power for desktop/server
}
PowerClass::LowPower // Conservative default for embedded
}
/// Detect network connectivity class
#[must_use]
pub fn detect_network_class() -> NetworkClass {
#[cfg(target_arch = "wasm32")]
return NetworkClass::WiFi; // Browser typically WiFi
#[cfg(any(target_os = "android", target_os = "ios"))]
return NetworkClass::Cellular; // Mobile typically cellular
#[cfg(any(target_os = "linux", target_os = "windows", target_os = "macos"))]
return NetworkClass::HighSpeed; // Desktop/server high-speed
NetworkClass::LowBandwidth // Conservative for embedded
}
}
#[cfg(all(test, feature = "disabled_tests"))]
mod tests {
use super::*;
#[test]
fn test_edge_capabilities_detection() {
// Test comprehensive capability detection
let capabilities = EdgeCapabilityDetector::detect_edge_capabilities().unwrap();
assert!(capabilities.compute_units > 0);
assert!(capabilities.memory_mb > 0);
assert!(matches!(
capabilities.edge_class,
EdgeClass::HighEnd | EdgeClass::Mid | EdgeClass::Low | EdgeClass::IoT
));
}
#[test]
fn test_cpu_capability_profiling() {
let mut capabilities = EdgeCapabilities {
compute_units: 4,
memory_mb: 2048,
simd_support: SIMDClass::None,
power_budget: PowerClass::StandardBattery,
network: NetworkClass::WiFi,
edge_class: EdgeClass::Mid,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::profile_cpu_capabilities(&mut capabilities).unwrap();
// Verify CPU profiling populates optimization flags
assert!(capabilities.optimization_flags.contains_key("cpu_arch"));
assert!(capabilities.optimization_flags.contains_key("gemm_gflops"));
}
#[test]
fn test_memory_hierarchy_profiling() {
let mut capabilities = EdgeCapabilities {
compute_units: 8,
memory_mb: 16384,
simd_support: SIMDClass::AVX,
power_budget: PowerClass::Unlimited,
network: NetworkClass::HighSpeed,
edge_class: EdgeClass::HighEnd,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::profile_memory_hierarchy(&mut capabilities).unwrap();
// Verify memory profiling populates bandwidth and latency info
assert!(
capabilities
.optimization_flags
.contains_key("memory_bandwidth_gbps")
);
assert!(
capabilities
.optimization_flags
.contains_key("memory_latency_ns")
);
}
#[test]
fn test_gpu_capability_profiling() {
let mut capabilities = EdgeCapabilities {
compute_units: 4,
memory_mb: 4096,
simd_support: SIMDClass::NEON,
power_budget: PowerClass::HighBattery,
network: NetworkClass::WiFi,
edge_class: EdgeClass::Mid,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::profile_gpu_capabilities(&mut capabilities).unwrap();
// GPU profiling should complete without error
// Specific GPU flags depend on platform availability
}
#[test]
fn test_power_characteristics_profiling() {
let mut capabilities = EdgeCapabilities {
compute_units: 2,
memory_mb: 1024,
simd_support: SIMDClass::None,
power_budget: PowerClass::LowPower,
network: NetworkClass::LowBandwidth,
edge_class: EdgeClass::IoT,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::profile_power_characteristics(&mut capabilities).unwrap();
// Verify power profiling populates thermal and battery info
assert!(
capabilities
.optimization_flags
.contains_key("thermal_state")
);
}
#[test]
fn test_compute_performance_benchmarking() {
let mut capabilities = EdgeCapabilities {
compute_units: 8,
memory_mb: 8192,
simd_support: SIMDClass::NEON,
power_budget: PowerClass::HighBattery,
network: NetworkClass::WiFi,
edge_class: EdgeClass::HighEnd,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::benchmark_compute_performance(&mut capabilities).unwrap();
// Verify performance benchmarking populates GFLOPS metrics
assert!(capabilities.optimization_flags.contains_key("gemm_gflops"));
match capabilities.simd_support {
SIMDClass::NEON => assert!(capabilities.optimization_flags.contains_key("neon_gflops")),
SIMDClass::RVV => assert!(capabilities.optimization_flags.contains_key("rvv_gflops")),
SIMDClass::WASM_SIMD => assert!(
capabilities
.optimization_flags
.contains_key("wasm_simd_gflops")
),
SIMDClass::AVX => assert!(capabilities.optimization_flags.contains_key("avx_gflops")),
SIMDClass::None => assert!(
capabilities
.optimization_flags
.contains_key("scalar_gflops")
),
}
}
#[test]
fn test_device_class_classification_high_end() {
let capabilities = EdgeCapabilities {
compute_units: 12,
memory_mb: 16384,
simd_support: SIMDClass::AVX,
power_budget: PowerClass::Unlimited,
network: NetworkClass::HighSpeed,
edge_class: EdgeClass::Mid, // Will be reclassified
optimization_flags: {
let mut flags = HashMap::new();
flags.insert("gemm_gflops".to_string(), "50.0".to_string());
flags
},
};
let classified = EdgeCapabilityDetector::classify_device_class(&capabilities);
assert_eq!(classified, EdgeClass::HighEnd);
}
#[test]
fn test_device_class_classification_iot() {
let capabilities = EdgeCapabilities {
compute_units: 1,
memory_mb: 32,
simd_support: SIMDClass::None,
power_budget: PowerClass::UltraLowPower,
network: NetworkClass::LowBandwidth,
edge_class: EdgeClass::Mid, // Will be reclassified
optimization_flags: {
let mut flags = HashMap::new();
flags.insert("gemm_gflops".to_string(), "0.5".to_string());
flags
},
};
let classified = EdgeCapabilityDetector::classify_device_class(&capabilities);
assert_eq!(classified, EdgeClass::IoT);
}
#[test]
fn test_device_class_classification_mid_range() {
let capabilities = EdgeCapabilities {
compute_units: 4,
memory_mb: 4096,
simd_support: SIMDClass::NEON,
power_budget: PowerClass::StandardBattery,
network: NetworkClass::WiFi,
edge_class: EdgeClass::Low, // Will be reclassified
optimization_flags: {
let mut flags = HashMap::new();
flags.insert("gemm_gflops".to_string(), "10.0".to_string());
flags
},
};
let classified = EdgeCapabilityDetector::classify_device_class(&capabilities);
assert_eq!(classified, EdgeClass::Mid);
}
#[test]
fn test_optimization_flags_configuration() {
let mut capabilities = EdgeCapabilities {
compute_units: 8,
memory_mb: 8192,
simd_support: SIMDClass::NEON,
power_budget: PowerClass::StandardBattery,
network: NetworkClass::WiFi,
edge_class: EdgeClass::HighEnd,
optimization_flags: HashMap::new(),
};
EdgeCapabilityDetector::configure_optimization_flags(&mut capabilities);
// Verify SIMD-specific flags are set
assert_eq!(
capabilities.optimization_flags.get("use_neon"),
Some(&"true".to_string())
);
assert_eq!(
capabilities.optimization_flags.get("use_rvv"),
Some(&"false".to_string())
);
assert_eq!(
capabilities.optimization_flags.get("use_wasm_simd"),
Some(&"false".to_string())
);
assert_eq!(
capabilities.optimization_flags.get("use_avx"),
Some(&"false".to_string())
);
// Verify battery optimization flag
assert_eq!(
capabilities.optimization_flags.get("battery_optimization"),
Some(&"true".to_string())
);
// Verify parallel capability flag
assert_eq!(
capabilities.optimization_flags.get("parallel_capable"),
Some(&"true".to_string())
);
}
#[test]
fn test_platform_detection_apis() {
// Test SIMD detection
let simd_support = EdgeCapabilityDetector::detect_simd_support();
assert!(matches!(
simd_support,
SIMDClass::NEON
| SIMDClass::AVX
| SIMDClass::RVV
| SIMDClass::WASM_SIMD
| SIMDClass::None
));
// Test power budget detection
let power_budget = EdgeCapabilityDetector::detect_power_budget();
assert!(matches!(
power_budget,
PowerClass::Unlimited
| PowerClass::HighBattery
| PowerClass::StandardBattery
| PowerClass::LowPower
| PowerClass::UltraLowPower
));
// Test network class detection
let network_class = EdgeCapabilityDetector::detect_network_class();
assert!(matches!(
network_class,
NetworkClass::HighSpeed
| NetworkClass::WiFi
| NetworkClass::Cellular
| NetworkClass::LowBandwidth
| NetworkClass::Offline
));
}
#[test]
fn test_compute_units_detection() {
let compute_units = EdgeCapabilityDetector::detect_compute_units();
// Should detect at least 1 compute unit
assert!(compute_units > 0);
// On systems with std, should use available_parallelism
#[cfg(feature = "std")]
assert!(compute_units >= 1);
// On no_std systems, should default to 1
#[cfg(not(feature = "std"))]
assert_eq!(compute_units, 1);
}
#[test]
fn test_memory_detection() {
let memory_mb = EdgeCapabilityDetector::detect_memory_mb();
// Should detect reasonable memory amount
assert!(memory_mb > 0);
// Platform-specific minimum expectations
#[cfg(target_arch = "wasm32")]
assert!(memory_mb >= 512); // At least 512MB for WASM
#[cfg(any(target_arch = "arm", target_arch = "aarch64"))]
assert!(memory_mb >= 256); // At least 256MB for ARM
#[cfg(target_arch = "riscv64")]
assert!(memory_mb >= 128); // At least 128MB for RISC-V
}
#[test]
fn test_comprehensive_capability_profiling() {
let capabilities = EdgeCapabilityDetector::detect_edge_capabilities().unwrap();
// Verify all components were profiled
assert!(capabilities.compute_units > 0);
assert!(capabilities.memory_mb > 0);
assert!(matches!(
capabilities.simd_support,
SIMDClass::NEON
| SIMDClass::AVX
| SIMDClass::RVV
| SIMDClass::WASM_SIMD
| SIMDClass::None
));
assert!(matches!(
capabilities.power_budget,
PowerClass::Unlimited
| PowerClass::HighBattery
| PowerClass::StandardBattery
| PowerClass::LowPower
| PowerClass::UltraLowPower
));
assert!(matches!(
capabilities.network,
NetworkClass::HighSpeed
| NetworkClass::WiFi
| NetworkClass::Cellular
| NetworkClass::LowBandwidth
| NetworkClass::Offline
));
assert!(matches!(
capabilities.edge_class,
EdgeClass::HighEnd | EdgeClass::Mid | EdgeClass::Low | EdgeClass::IoT
));
// Check that optimization flags contain expected architecture info
assert!(capabilities.optimization_flags.contains_key("cpu_arch"));
assert!(capabilities.optimization_flags.contains_key("gemm_gflops"));
assert!(
capabilities
.optimization_flags
.contains_key("memory_bandwidth_gbps")
);
assert!(capabilities.optimization_flags.contains_key("l1_cache_kb"));
assert!(capabilities.optimization_flags.contains_key("l2_cache_kb"));
assert!(capabilities.optimization_flags.contains_key("l3_cache_kb"));
}
#[test]
fn test_edge_class_ordering_and_structures() {
// Test that edge classes have logical ordering for comparison
assert!(EdgeClass::HighEnd as u8 < EdgeClass::Mid as u8);
assert!(EdgeClass::Mid as u8 < EdgeClass::Low as u8);
assert!(EdgeClass::Low as u8 < EdgeClass::IoT as u8);
// Test structure validation
let cache_info = CacheInfo {
l1_cache_kb: 32,
l2_cache_kb: 256,
l3_cache_kb: 2048,
};
assert!(cache_info.l1_cache_kb > 0 && cache_info.l2_cache_kb > cache_info.l1_cache_kb);
let gpu_info = GpuInfo {
vendor: "Mali".to_string(),
memory_mb: 1024,
};
assert!(!gpu_info.vendor.is_empty() && gpu_info.memory_mb > 0);
let battery_info = BatteryInfo {
level: 80,
charging: false,
};
assert!(battery_info.level <= 100);
}
}