183 lines
11 KiB
Rust
183 lines
11 KiB
Rust
//! Edge-aware training performance validation example
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//!
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//! Validates that all performance targets are met across different platforms
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use rustytorch::revolutionary::*;
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use std::time::Instant;
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fn main() -> Result<(), Box<dyn std::error::Error>> {
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println!("🚀 RTX Edge-Aware Training Performance Validation");
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println!("==================================================");
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// Test 1: ARM NEON Optimization (Target: 2.5x speedup)
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println!("\n🔧 Testing ARM NEON Optimization...");
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let start = Instant::now();
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let mut optimizer = EdgeTargetOptimizer::new();
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let arm_opts = ArmOptimizations {
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enable_neon: true,
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memory_prefetch: true,
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cache_optimization: true,
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big_little_scheduling: true,
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target_arch: ArmArchitecture::CortexA,
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};
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optimizer.configure_arm(arm_opts);
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let metrics = optimizer.optimize_for_target(EdgeTarget::ARM)?;
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let arm_time = start.elapsed();
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println!(" ✅ ARM NEON Performance: {:.2}x speedup", metrics.performance_improvement);
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println!(" ✅ Memory reduction: {:.1}%", metrics.memory_reduction_ratio * 100.0);
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println!(" ✅ Optimization time: {:?}", arm_time);
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if metrics.performance_improvement >= 2.5 {
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println!(" 🎯 ARM NEON target met!");
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} else {
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println!(" ⚠️ ARM NEON target not fully achieved (target: 2.5x)");
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}
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// Test 2: RISC-V Vector Extensions (Target: 4.8x speedup)
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println!("\n🔧 Testing RISC-V Vector Extension Optimization...");
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let start = Instant::now();
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let mut optimizer = EdgeTargetOptimizer::new();
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let riscv_opts = RiscVOptimizations {
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enable_rvv: true,
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vector_length: RiscVVectorLength::VLEN512,
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custom_instructions: vec!["custom_matmul".to_string(), "custom_conv".to_string()],
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memory_model: RiscVMemoryModel::TSO,
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target_variant: RiscVVariant::Vector,
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};
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optimizer.configure_riscv(riscv_opts);
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let metrics = optimizer.optimize_for_target(EdgeTarget::RISCV)?;
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let riscv_time = start.elapsed();
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println!(" ✅ RISC-V RVV Performance: {:.2}x speedup", metrics.performance_improvement);
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println!(" ✅ Power efficiency: {:.2}x improvement", metrics.power_efficiency_gain);
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println!(" ✅ Optimization time: {:?}", riscv_time);
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if metrics.performance_improvement >= 4.8 {
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println!(" 🎯 RISC-V RVV target met!");
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} else {
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println!(" ⚠️ RISC-V RVV target not fully achieved (target: 4.8x)");
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}
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// Test 3: WebAssembly SIMD (Target: 1.8x speedup)
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println!("\n🔧 Testing WebAssembly SIMD Optimization...");
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let start = Instant::now();
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let mut optimizer = EdgeTargetOptimizer::new();
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let wasm_opts = WasmOptimizations {
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enable_simd: true,
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enable_threads: true,
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memory_growth: WasmMemoryGrowth::Dynamic { max_pages: 4096 },
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target_runtime: WasmRuntime::Browser,
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bulk_memory: true,
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};
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optimizer.configure_wasm(wasm_opts);
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let metrics = optimizer.optimize_for_target(EdgeTarget::WASM)?;
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let wasm_time = start.elapsed();
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println!(" ✅ WASM SIMD Performance: {:.2}x speedup", metrics.performance_improvement);
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println!(" ✅ Memory reduction: {:.1}%", metrics.memory_reduction_ratio * 100.0);
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println!(" ✅ Optimization time: {:?}", wasm_time);
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if metrics.performance_improvement >= 1.8 {
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println!(" 🎯 WASM SIMD target met!");
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} else {
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println!(" ⚠️ WASM SIMD target not fully achieved (target: 1.8x)");
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}
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// Test 4: Mobile GPU (Target: 4.0x speedup)
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println!("\n🔧 Testing Mobile GPU Optimization...");
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let start = Instant::now();
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let mut optimizer = EdgeTargetOptimizer::new();
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let mobile_gpu_opts = MobileGpuOptimizations {
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gpu_vendor: MobileGpuVendor::Apple,
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compute_shaders: true,
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tile_based_rendering: true,
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bandwidth_optimization: true,
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power_efficiency: true,
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};
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optimizer.configure_mobile_gpu(mobile_gpu_opts);
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let metrics = optimizer.optimize_for_target(EdgeTarget::MobileGPU)?;
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let mobile_gpu_time = start.elapsed();
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println!(" ✅ Mobile GPU Performance: {:.2}x speedup", metrics.performance_improvement);
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println!(" ✅ Memory reduction: {:.1}%", metrics.memory_reduction_ratio * 100.0);
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println!(" ✅ Power efficiency: {:.2}x improvement", metrics.power_efficiency_gain);
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println!(" ✅ Optimization time: {:?}", mobile_gpu_time);
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if metrics.performance_improvement >= 4.0 {
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println!(" 🎯 Mobile GPU target met!");
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} else {
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println!(" ⚠️ Mobile GPU target not fully achieved (target: 4.0x)");
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}
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// Test 5: IoT Ultra-Low Power (Target: 10x power efficiency)
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println!("\n🔧 Testing IoT Ultra-Low Power Optimization...");
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let start = Instant::now();
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let mut optimizer = EdgeTargetOptimizer::new();
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let iot_opts = IoTOptimizations {
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ultra_low_power: true,
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minimal_memory: true,
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wake_on_inference: true,
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mesh_networking: true,
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target_platform: IoTPlatform::ESP32,
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};
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optimizer.configure_iot(iot_opts);
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let metrics = optimizer.optimize_for_target(EdgeTarget::IoT)?;
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let iot_time = start.elapsed();
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println!(" ✅ IoT Performance: {:.2}x speedup", metrics.performance_improvement);
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println!(" ✅ Memory reduction: {:.1}%", metrics.memory_reduction_ratio * 100.0);
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println!(" ✅ Power efficiency: {:.2}x improvement", metrics.power_efficiency_gain);
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println!(" ✅ Optimization time: {:?}", iot_time);
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println!(" ✅ Memory footprint: {}KB",
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metrics.target_specific.get("memory_footprint_kb")
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.map(|v| format!("{}", *v as u32))
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.unwrap_or_else(|| "N/A".to_string()));
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if metrics.power_efficiency_gain >= 10.0 {
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println!(" 🎯 IoT power efficiency target met!");
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} else {
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println!(" ⚠️ IoT power efficiency target not fully achieved (target: 10.0x)");
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}
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// Summary
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println!("\n📊 Performance Summary");
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println!("=====================");
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println!("Platform | Performance | Power Eff. | Memory Red. | Status");
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println!("----------------|-------------|------------|-------------|--------");
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println!("ARM NEON | {:.2}x | {:.2}x | {:.1}% | {}",
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optimizer.get_all_metrics().get(&EdgeTarget::ARM).map(|m| m.performance_improvement).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::ARM).map(|m| m.power_efficiency_gain).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::ARM).map(|m| m.memory_reduction_ratio * 100.0).unwrap_or(0.0),
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if optimizer.get_all_metrics().get(&EdgeTarget::ARM).map(|m| m.performance_improvement).unwrap_or(0.0) >= 2.5 { "✅" } else { "⚠️" });
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println!("RISC-V RVV | {:.2}x | {:.2}x | {:.1}% | {}",
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optimizer.get_all_metrics().get(&EdgeTarget::RISCV).map(|m| m.performance_improvement).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::RISCV).map(|m| m.power_efficiency_gain).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::RISCV).map(|m| m.memory_reduction_ratio * 100.0).unwrap_or(0.0),
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if optimizer.get_all_metrics().get(&EdgeTarget::RISCV).map(|m| m.performance_improvement).unwrap_or(0.0) >= 4.8 { "✅" } else { "⚠️" });
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println!("WASM SIMD | {:.2}x | {:.2}x | {:.1}% | {}",
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optimizer.get_all_metrics().get(&EdgeTarget::WASM).map(|m| m.performance_improvement).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::WASM).map(|m| m.power_efficiency_gain).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::WASM).map(|m| m.memory_reduction_ratio * 100.0).unwrap_or(0.0),
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if optimizer.get_all_metrics().get(&EdgeTarget::WASM).map(|m| m.performance_improvement).unwrap_or(0.0) >= 1.8 { "✅" } else { "⚠️" });
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println!("Mobile GPU | {:.2}x | {:.2}x | {:.1}% | {}",
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optimizer.get_all_metrics().get(&EdgeTarget::MobileGPU).map(|m| m.performance_improvement).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::MobileGPU).map(|m| m.power_efficiency_gain).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::MobileGPU).map(|m| m.memory_reduction_ratio * 100.0).unwrap_or(0.0),
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if optimizer.get_all_metrics().get(&EdgeTarget::MobileGPU).map(|m| m.performance_improvement).unwrap_or(0.0) >= 4.0 { "✅" } else { "⚠️" });
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println!("IoT ESP32 | {:.2}x | {:.1}x | {:.1}% | {}",
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optimizer.get_all_metrics().get(&EdgeTarget::IoT).map(|m| m.performance_improvement).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::IoT).map(|m| m.power_efficiency_gain).unwrap_or(0.0),
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optimizer.get_all_metrics().get(&EdgeTarget::IoT).map(|m| m.memory_reduction_ratio * 100.0).unwrap_or(0.0),
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if optimizer.get_all_metrics().get(&EdgeTarget::IoT).map(|m| m.power_efficiency_gain).unwrap_or(0.0) >= 10.0 { "✅" } else { "⚠️" });
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println!("\n🌟 Edge-Aware Training System Validation Complete!");
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println!("Ready for production deployment across universal edge platforms!");
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Ok(())
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}
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