IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub
f8207f5
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": "420ddf2d65dc94a93273eacd14ac0bd4f4b6cef7", | |
| "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": 946.061312, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 13, | |
| "total": 0.6180469609999477, | |
| "mean": 0.0475420739230729, | |
| "stdev": 0.0008941193507300335, | |
| "p50": 0.047392379000029905, | |
| "p90": 0.04867992620000905, | |
| "p95": 0.04874899120000009, | |
| "p99": 0.04880123583998284, | |
| "values": [ | |
| 0.04870545400001447, | |
| 0.04857781499998737, | |
| 0.04655666599995811, | |
| 0.04829793199996857, | |
| 0.047936046000017996, | |
| 0.04570660699999962, | |
| 0.04792314100001249, | |
| 0.04724989200002483, | |
| 0.04706259199997476, | |
| 0.04686271799999986, | |
| 0.047392379000029905, | |
| 0.04696142199998121, | |
| 0.048814296999978524 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 42.06800071945051 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.6157045364379884e-06, | |
| "ram": 6.752290526108027e-08, | |
| "gpu": 0.0, | |
| "total": 1.6832274416990687e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 1188193.5562915832 | |
| } | |
| }, | |
| "decode": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 946.061312, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 13, | |
| "total": 0.3907519300001354, | |
| "mean": 0.030057840769241187, | |
| "stdev": 0.00022525827413496396, | |
| "p50": 0.03001701199997342, | |
| "p90": 0.030357101800029797, | |
| "p95": 0.030409602000008817, | |
| "p99": 0.030449367599985636, | |
| "values": [ | |
| 0.03011674800001174, | |
| 0.030015299000012874, | |
| 0.03019913300005328, | |
| 0.02991325800002187, | |
| 0.029855009000016253, | |
| 0.030279653000036433, | |
| 0.029954164999992372, | |
| 0.03045930899997984, | |
| 0.029937995000011597, | |
| 0.03001701199997342, | |
| 0.03005342000000155, | |
| 0.030376464000028136, | |
| 0.029574464999996053 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 33.26918948294253 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 9.716655413309732e-07, | |
| "ram": 4.061081394333714e-08, | |
| "gpu": 0.0, | |
| "total": 1.0122763552743103e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "tokens/kWh", | |
| "value": 987872.5259062446 | |
| } | |
| }, | |
| "per_token": { | |
| "memory": null, | |
| "latency": { | |
| "unit": "s", | |
| "count": 12, | |
| "total": 0.9301806009999609, | |
| "mean": 0.07751505008333008, | |
| "stdev": 0.0007316296299658951, | |
| "p50": 0.07757307199997854, | |
| "p90": 0.07839993599999957, | |
| "p95": 0.07850976535000313, | |
| "p99": 0.07859989627000573, | |
| "values": [ | |
| 0.07862242900000638, | |
| 0.07675229199998057, | |
| 0.07824108599999136, | |
| 0.07781990799998084, | |
| 0.07597676300002831, | |
| 0.07791631800000687, | |
| 0.07769759999996495, | |
| 0.07705139200004396, | |
| 0.07691117899997835, | |
| 0.07744854399999213, | |
| 0.07732550399998672, | |
| 0.07841758600000048 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "tokens/s", | |
| "value": 12.900720555878916 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |