{
    "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": "0.2.1",
            "optimum_benchmark_commit": "d8c451da5aac8852b6a6e83b9b56a2aa6f007535",
            "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": 955.645952,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 13,
                "total": 0.662485601999947,
                "mean": 0.05096043092307285,
                "stdev": 0.001101209430659164,
                "p50": 0.05132497399998215,
                "p90": 0.0520375321999893,
                "p95": 0.0523162093999872,
                "p99": 0.05257836187999146,
                "values": [
                    0.05121247600001766,
                    0.051425492999982225,
                    0.04911277399997971,
                    0.05209774899998365,
                    0.05264389999999253,
                    0.048750125999987404,
                    0.05132497399998215,
                    0.05076386700000057,
                    0.0517966650000119,
                    0.050193400000011934,
                    0.05138464499998463,
                    0.05005046400000879,
                    0.05172906900000385
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 39.24613594847919
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.7080156699470853e-06,
                "ram": 7.137709808472189e-08,
                "gpu": 0.0,
                "total": 1.7793927680318072e-06
            },
            "efficiency": {
                "unit": "tokens/kWh",
                "value": 1123978.9415420673
            }
        },
        "decode": {
            "memory": {
                "unit": "MB",
                "max_ram": 955.645952,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 13,
                "total": 0.41250339700002314,
                "mean": 0.031731030538463316,
                "stdev": 0.0007622808331194323,
                "p50": 0.032074269000020195,
                "p90": 0.03241323679999368,
                "p95": 0.032445448999988004,
                "p99": 0.03246455059998425,
                "values": [
                    0.03169805599998199,
                    0.032074269000020195,
                    0.032161913000010145,
                    0.03218302199999812,
                    0.0317578469999944,
                    0.03231234400001881,
                    0.03145086399999286,
                    0.0323480600000039,
                    0.03242953099999113,
                    0.03246932599998331,
                    0.0313359800000228,
                    0.03017547199999626,
                    0.030106713000009222
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 31.514891985239267
            },
            "energy": {
                "unit": "kWh",
                "cpu": 9.987249389746722e-07,
                "ram": 4.174241319631031e-08,
                "gpu": 0.0,
                "total": 1.040467352170983e-06
            },
            "efficiency": {
                "unit": "tokens/kWh",
                "value": 961106.5622707468
            }
        },
        "per_token": {
            "memory": null,
            "latency": {
                "unit": "s",
                "count": 12,
                "total": 0.9924372350000112,
                "mean": 0.0827031029166676,
                "stdev": 0.0012935412306620518,
                "p50": 0.08273239200001115,
                "p90": 0.08427710450000347,
                "p95": 0.08437042434999284,
                "p99": 0.08446047606998264,
                "values": [
                    0.08352961800000003,
                    0.08126260400001684,
                    0.08427832600000329,
                    0.08448298899998008,
                    0.08106825999999501,
                    0.08275965800001472,
                    0.0831345679999913,
                    0.08426611100000514,
                    0.0826907990000052,
                    0.08270512600000757,
                    0.0802886419999993,
                    0.08197053399999277
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 12.091444755193878
            },
            "energy": null,
            "efficiency": null
        }
    }
}