{
    "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": 16757.346304,
            "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": "77e62a3eef699bce70248c56d35c703369938b85",
            "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": 955.932672,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 13,
                "total": 0.6447852839999939,
                "mean": 0.04959886799999953,
                "stdev": 0.0023060367797334298,
                "p50": 0.05031191700001614,
                "p90": 0.0515503924000086,
                "p95": 0.05193769340000926,
                "p99": 0.05232336908000889,
                "values": [
                    0.05120103699999845,
                    0.05241978800000879,
                    0.05031191700001614,
                    0.0512867740000047,
                    0.05060635399999569,
                    0.04948061599998255,
                    0.04911590899999396,
                    0.04940139800001475,
                    0.05043698899999072,
                    0.04962640699997678,
                    0.05161629700000958,
                    0.044718613000014784,
                    0.044563184999987016
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 40.32350093151358
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.7728900668596984e-06,
                "ram": 7.409080954627539e-08,
                "gpu": 0.0,
                "total": 1.8469808764059735e-06
            },
            "efficiency": {
                "unit": "tokens/kWh",
                "value": 1082848.2446942197
            }
        },
        "decode": {
            "memory": {
                "unit": "MB",
                "max_ram": 955.932672,
                "max_global_vram": null,
                "max_process_vram": null,
                "max_reserved": null,
                "max_allocated": null
            },
            "latency": {
                "unit": "s",
                "count": 13,
                "total": 0.40089242200005515,
                "mean": 0.030837878615388857,
                "stdev": 0.001730690383259156,
                "p50": 0.031182327000010446,
                "p90": 0.032513429600010114,
                "p95": 0.032709844200007866,
                "p99": 0.032861763240002805,
                "values": [
                    0.03223416800000223,
                    0.032583245000012084,
                    0.032899743000001536,
                    0.03214335900000265,
                    0.0310044370000071,
                    0.0312940430000026,
                    0.031182327000010446,
                    0.03209933799999476,
                    0.03086203300000534,
                    0.03064155300000948,
                    0.028993237000008776,
                    0.02739090399998645,
                    0.0275640350000117
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 32.42765212458472
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.0994034584122476e-06,
                "ram": 4.594782642322249e-08,
                "gpu": 0.0,
                "total": 1.1453512848354705e-06
            },
            "efficiency": {
                "unit": "tokens/kWh",
                "value": 873094.5808854179
            }
        },
        "per_token": {
            "memory": null,
            "latency": {
                "unit": "s",
                "count": 12,
                "total": 0.9626528439999902,
                "mean": 0.08022107033333252,
                "stdev": 0.0038544450784341582,
                "p50": 0.08107095449999235,
                "p90": 0.08343117430000006,
                "p95": 0.0841802451000035,
                "p99": 0.08488168342000563,
                "values": [
                    0.08505704300000616,
                    0.0831459579999887,
                    0.08346286500000133,
                    0.08166317800001366,
                    0.08076521199998865,
                    0.08030879500000765,
                    0.0815365130000032,
                    0.08134447699998759,
                    0.0802612070000066,
                    0.08079743199999712,
                    0.07214805899999988,
                    0.07216210499998965
                ]
            },
            "throughput": {
                "unit": "tokens/s",
                "value": 12.465552950675251
            },
            "energy": null,
            "efficiency": null
        }
    }
}