IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
152c514
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_text-generation_openai-community/gpt2", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-generation", | |
| "model": "openai-community/gpt2", | |
| "library": "transformers", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "hub_kwargs": { | |
| "revision": "main", | |
| "force_download": false, | |
| "local_files_only": false, | |
| "trust_remote_code": false | |
| }, | |
| "no_weights": true, | |
| "device_map": null, | |
| "torch_dtype": null, | |
| "eval_mode": true, | |
| "to_bettertransformer": false, | |
| "low_cpu_mem_usage": null, | |
| "attn_implementation": null, | |
| "cache_implementation": null, | |
| "autocast_enabled": false, | |
| "autocast_dtype": null, | |
| "torch_compile": false, | |
| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
| "quantization_scheme": null, | |
| "quantization_config": {}, | |
| "deepspeed_inference": false, | |
| "deepspeed_inference_config": {}, | |
| "peft_type": null, | |
| "peft_config": {} | |
| }, | |
| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "latency": true, | |
| "memory": true, | |
| "energy": true, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "launcher": { | |
| "name": "process", | |
| "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
| "device_isolation": false, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16757.346304, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": "3b17890e550ffe969ad275a1b08288c6015397d9", | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "0.9.16", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "prefill": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 959.213568, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 15, | |
| "total": 0.6432671100000391, | |
| "mean": 0.04288447400000261, | |
| "stdev": 0.0006131960096328534, | |
| "p50": 0.04273281500002213, | |
| "p90": 0.04365834460001565, | |
| "p95": 0.04395496820001199, | |
| "p99": 0.044244434440008716, | |
| "values": [ | |
| 0.04379989700001374, | |
| 0.04344601600001852, | |
| 0.04252090999997904, | |
| 0.04273281500002213, | |
| 0.042765174999999545, | |
| 0.04289095400000065, | |
| 0.0443168010000079, | |
| 0.04272660400002337, | |
| 0.04321895300000733, | |
| 0.042399514000010186, | |
| 0.04325059100000317, | |
| 0.042260153000000855, | |
| 0.04252561899997431, | |
| 0.0418052649999936, | |
| 0.04260784299998477 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 46.63692505590434 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.6362696334167766e-06, | |
| "ram": 6.838202435243407e-08, | |
| "gpu": 0.0, | |
| "total": 1.7046516577692106e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 1173260.2323088674 | |
| } | |
| }, | |
| "decode": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 959.213568, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 15, | |
| "total": 0.40162400400001275, | |
| "mean": 0.02677493360000085, | |
| "stdev": 0.0009793670233713997, | |
| "p50": 0.02653633799999966, | |
| "p90": 0.027721777799996516, | |
| "p95": 0.028593429400007152, | |
| "p99": 0.02956511228002, | |
| "values": [ | |
| 0.02653633799999966, | |
| 0.026568989999987025, | |
| 0.026909554000013713, | |
| 0.02618327999999792, | |
| 0.026637598000007756, | |
| 0.02807288500000027, | |
| 0.026492405999988478, | |
| 0.026366701999990028, | |
| 0.026629262000000153, | |
| 0.027195116999990887, | |
| 0.02634892899999386, | |
| 0.02603897100001973, | |
| 0.029808033000023215, | |
| 0.02548179100000425, | |
| 0.026354147999995803 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 37.34836526354517 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 9.886841310395135e-07, | |
| "ram": 4.132014078664287e-08, | |
| "gpu": 0.0, | |
| "total": 1.0300042718261557e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 970869.7598186079 | |
| } | |
| }, | |
| "per_token": { | |
| "memory": null, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.9748128969999925, | |
| "mean": 0.0696294926428566, | |
| "stdev": 0.001117507853519043, | |
| "p50": 0.06950122199999953, | |
| "p90": 0.0709310381000023, | |
| "p95": 0.07139638105000187, | |
| "p99": 0.07202770420999116, | |
| "values": [ | |
| 0.07002267000001439, | |
| 0.06940666999997802, | |
| 0.06898561400001313, | |
| 0.06941038799999433, | |
| 0.0709714520000091, | |
| 0.07083673899998644, | |
| 0.06910846400000992, | |
| 0.06987409199999206, | |
| 0.06959205600000473, | |
| 0.06961640099999045, | |
| 0.0683459920000189, | |
| 0.07218553499998848, | |
| 0.06748049600000172, | |
| 0.06897632799999087 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 14.361730382399843 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |