IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
2e128b5
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", | |
| "library": "transformers", | |
| "model": "openai-community/gpt2", | |
| "processor": "openai-community/gpt2", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_kwargs": {}, | |
| "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": 16757.354496, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": "519f5ad32b6cd1fea2bd501503e24d19a1e23c22", | |
| "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": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "prefill": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 956.19072, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.6442976150000845, | |
| "mean": 0.04602125821429175, | |
| "stdev": 0.0026015645220651335, | |
| "p50": 0.04631292800002029, | |
| "p90": 0.04780322490003073, | |
| "p95": 0.04933660205002468, | |
| "p99": 0.05137414040999999, | |
| "values": [ | |
| 0.04726590799998576, | |
| 0.046043585000006715, | |
| 0.04630186700001104, | |
| 0.046715800000015406, | |
| 0.04742532500000607, | |
| 0.04647002000001521, | |
| 0.046113835999960884, | |
| 0.046229230999983884, | |
| 0.04632398900002954, | |
| 0.047965182000041295, | |
| 0.051883524999993824, | |
| 0.04167295299998841, | |
| 0.04202367700003151, | |
| 0.04186271700001498 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 43.45817732073449 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.6599653495682612e-06, | |
| "ram": 6.937188619229317e-08, | |
| "gpu": 0.0, | |
| "total": 1.7293372357605545e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 1156512.4249004037 | |
| } | |
| }, | |
| "decode": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 956.19072, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 14, | |
| "total": 0.4015182429998845, | |
| "mean": 0.028679874499991747, | |
| "stdev": 0.001459387188051206, | |
| "p50": 0.029090048999989904, | |
| "p90": 0.02968808949997879, | |
| "p95": 0.03020780624997883, | |
| "p99": 0.030976322049983764, | |
| "values": [ | |
| 0.02939843000001474, | |
| 0.028604666999967776, | |
| 0.029300426999952833, | |
| 0.029416293999986465, | |
| 0.02969053599997551, | |
| 0.028834668000001784, | |
| 0.028879671000026974, | |
| 0.029672622000020965, | |
| 0.031168450999984998, | |
| 0.029682380999986435, | |
| 0.028366564000009475, | |
| 0.025951943999984906, | |
| 0.026268525999967096, | |
| 0.02628306200000452 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 34.86765606314936 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 9.77447904922344e-07, | |
| "ram": 4.085141083469303e-08, | |
| "gpu": 0.0, | |
| "total": 1.0182993157570368e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 982029.531519981 | |
| } | |
| }, | |
| "per_token": { | |
| "memory": null, | |
| "latency": { | |
| "unit": "s", | |
| "count": 13, | |
| "total": 0.9695522889999779, | |
| "mean": 0.0745809453076906, | |
| "stdev": 0.00385916121725017, | |
| "p50": 0.07558691600002021, | |
| "p90": 0.07765270479999345, | |
| "p95": 0.07877236819998643, | |
| "p99": 0.08009081443998865, | |
| "values": [ | |
| 0.074671445999968, | |
| 0.07558691600002021, | |
| 0.07616815000000088, | |
| 0.07712849500001084, | |
| 0.07534657600001538, | |
| 0.07502181099999916, | |
| 0.07584827299996277, | |
| 0.07756887200002893, | |
| 0.07767366299998457, | |
| 0.08042042599998922, | |
| 0.06766062399998418, | |
| 0.06827810600003659, | |
| 0.06817893099997718 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 13.408250537377976 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |