| { |
| "id": "2e9e8c13-2259-4908-92fb-a7b58d588abf", |
| "generation": 2, |
| "iteration": 23, |
| "timestamp": 1767618428.986909, |
| "parent_id": "2eada941-048f-4828-b81c-786434f63240", |
| "metrics": { |
| "success": true, |
| "final_score": 2.9589006960980697, |
| "combined_score": 2.9589006960980697, |
| "performance_metrics": { |
| "avg_decode_speed": 53.41525, |
| "min_decode_speed": 46.023, |
| "max_decode_speed": 63.108, |
| "avg_prefill_speed": 244.14375, |
| "avg_memory_gb": 1.39325, |
| "max_memory_gb": 1.554, |
| "num_successful_tests": 4, |
| "decode_speed_std": 7.40971879948895 |
| }, |
| "correctness_score": 1.0, |
| "benchmark_results": [ |
| { |
| "name": "short_context_quick", |
| "decode_tokens_per_sec": 63.108, |
| "prefill_tokens_per_sec": 135.605, |
| "peak_memory_gb": 1.35, |
| "generated_tokens": 50, |
| "total_time_sec": 4.579478166997433 |
| }, |
| { |
| "name": "code_generation", |
| "decode_tokens_per_sec": 58.112, |
| "prefill_tokens_per_sec": 355.6, |
| "peak_memory_gb": 1.291, |
| "generated_tokens": 300, |
| "total_time_sec": 9.802399624997634 |
| }, |
| { |
| "name": "long_context_detailed", |
| "decode_tokens_per_sec": 46.023, |
| "prefill_tokens_per_sec": 303.484, |
| "peak_memory_gb": 1.554, |
| "generated_tokens": 500, |
| "total_time_sec": 17.30625654100004 |
| }, |
| { |
| "name": "long_generation", |
| "decode_tokens_per_sec": 46.418, |
| "prefill_tokens_per_sec": 181.886, |
| "peak_memory_gb": 1.378, |
| "generated_tokens": 1000, |
| "total_time_sec": 27.308918209004332 |
| } |
| ], |
| "baseline_comparison": { |
| "avg_decode_improvement_pct": -3.199533101300643, |
| "avg_decode_improvement_absolute": -1.6237500000000011, |
| "memory_change_gb": -0.005749999999999922, |
| "target_achieved": false, |
| "num_benchmarks_improved": 1, |
| "total_benchmarks": 4, |
| "safety_score": 100.0 |
| }, |
| "individual_comparisons": [ |
| { |
| "benchmark_name": "short_context_quick", |
| "baseline": { |
| "name": "short_context_quick", |
| "decode_tokens_per_sec": 59.061, |
| "prefill_tokens_per_sec": 48.778, |
| "peak_memory_gb": 1.416, |
| "generated_tokens": 50, |
| "total_time_sec": 4.753752667005756 |
| }, |
| "custom": { |
| "name": "short_context_quick", |
| "decode_tokens_per_sec": 63.108, |
| "prefill_tokens_per_sec": 135.605, |
| "peak_memory_gb": 1.35, |
| "generated_tokens": 50, |
| "total_time_sec": 4.579478166997433 |
| }, |
| "improvements": { |
| "decode_speed_pct": 6.852237517143288, |
| "prefill_speed_pct": 178.00442822583952, |
| "total_speed_pct": 3.80555368216958, |
| "memory_reduction_pct": 4.888888888888877, |
| "time_reduction_pct": 3.80555368216959 |
| } |
| }, |
| { |
| "benchmark_name": "code_generation", |
| "baseline": { |
| "name": "code_generation", |
| "decode_tokens_per_sec": 58.335, |
| "prefill_tokens_per_sec": 214.398, |
| "peak_memory_gb": 1.277, |
| "generated_tokens": 300, |
| "total_time_sec": 9.370090207994508 |
| }, |
| "custom": { |
| "name": "code_generation", |
| "decode_tokens_per_sec": 58.112, |
| "prefill_tokens_per_sec": 355.6, |
| "peak_memory_gb": 1.291, |
| "generated_tokens": 300, |
| "total_time_sec": 9.802399624997634 |
| }, |
| "improvements": { |
| "decode_speed_pct": -0.382274792148794, |
| "prefill_speed_pct": 65.85975615444175, |
| "total_speed_pct": -4.41024069147997, |
| "memory_reduction_pct": -1.0844306738962055, |
| "time_reduction_pct": -4.4102406914799674 |
| } |
| }, |
| { |
| "benchmark_name": "long_context_detailed", |
| "baseline": { |
| "name": "long_context_detailed", |
| "decode_tokens_per_sec": 54.724, |
| "prefill_tokens_per_sec": 853.686, |
| "peak_memory_gb": 1.543, |
| "generated_tokens": 500, |
| "total_time_sec": 13.029723457999353 |
| }, |
| "custom": { |
| "name": "long_context_detailed", |
| "decode_tokens_per_sec": 46.023, |
| "prefill_tokens_per_sec": 303.484, |
| "peak_memory_gb": 1.554, |
| "generated_tokens": 500, |
| "total_time_sec": 17.30625654100004 |
| }, |
| "improvements": { |
| "decode_speed_pct": -15.899788027190983, |
| "prefill_speed_pct": -64.45016083196866, |
| "total_speed_pct": -24.710907716346416, |
| "memory_reduction_pct": -0.7078507078507156, |
| "time_reduction_pct": -24.710907716346423 |
| } |
| }, |
| { |
| "benchmark_name": "long_generation", |
| "baseline": { |
| "name": "long_generation", |
| "decode_tokens_per_sec": 48.036, |
| "prefill_tokens_per_sec": 164.979, |
| "peak_memory_gb": 1.36, |
| "generated_tokens": 1000, |
| "total_time_sec": 26.132775457997923 |
| }, |
| "custom": { |
| "name": "long_generation", |
| "decode_tokens_per_sec": 46.418, |
| "prefill_tokens_per_sec": 181.886, |
| "peak_memory_gb": 1.378, |
| "generated_tokens": 1000, |
| "total_time_sec": 27.308918209004332 |
| }, |
| "improvements": { |
| "decode_speed_pct": -3.368307103006083, |
| "prefill_speed_pct": 10.247970953878967, |
| "total_speed_pct": -4.306808281474169, |
| "memory_reduction_pct": -1.3062409288824235, |
| "time_reduction_pct": -4.306808281474182 |
| } |
| } |
| ], |
| "summary": "Bulletproof Custom GQA Implementation Results:\n\u2022 Decode Speed: 53.4 tokens/sec (baseline: 55.0)\n\u2022 Improvement: -3.2%\n\u2022 Memory Usage: 1.39 GB\n\u2022 Correctness: 100.0%\n\u2022 Safety Score: 100.0/100\n\u2022 Tests Passed: 4/4\n\u2022 Benchmarks Improved: 1/4\n\u2022 Metal Errors Handled: 0\n\ud83d\udee1\ufe0f PERFECT SAFETY: No Metal kernel errors\n\u26a0\ufe0f NO IMPROVEMENT: Performance regression", |
| "metal_safety_statistics": { |
| "metal_command_buffer_errors": 0, |
| "metal_memory_violations": 0, |
| "metal_compilation_errors": 0, |
| "gpu_resource_errors": 0, |
| "total_metal_errors": 0, |
| "successful_fallbacks": 0, |
| "retry_attempts_used": 0, |
| "safety_score": 100.0, |
| "error_breakdown": { |
| "command_buffer_pct": 0.0, |
| "memory_violation_pct": 0.0, |
| "compilation_error_pct": 0.0, |
| "resource_error_pct": 0.0 |
| } |
| }, |
| "safety_validation": { |
| "success": true, |
| "validated": true |
| } |
| }, |
| "language": "python", |
| "saved_at": 1767619206.585282 |
| } |
