{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.1+cu124",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "model_type": "deberta-v2",
            "model": "microsoft/deberta-v3-base",
            "processor": "microsoft/deberta-v3-base",
            "device": "cuda",
            "device_ids": "0",
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "model_kwargs": {},
            "processor_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,
            "memory": true,
            "latency": 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": true,
            "device_isolation_action": "error",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.261056,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.223-212.873.amzn2.x86_64-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "NVIDIA A10G"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 24146608128,
            "optimum_benchmark_version": "0.4.0",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.44.2",
            "transformers_commit": null,
            "accelerate_version": "0.34.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 772.317184,
                "max_global_vram": 1403.518976,
                "max_process_vram": 0.0,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 7.40931884765625,
                "mean": 7.40931884765625,
                "stdev": 0.0,
                "p50": 7.40931884765625,
                "p90": 7.40931884765625,
                "p95": 7.40931884765625,
                "p99": 7.40931884765625,
                "values": [
                    7.40931884765625
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 1.1555272937501275e-06,
                "ram": 6.170384011982001e-07,
                "gpu": 1.5494456840009843e-06,
                "total": 3.3220113789493123e-06
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1160.445952,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.606656
            },
            "latency": {
                "unit": "s",
                "count": 70,
                "total": 1.000931423187256,
                "mean": 0.014299020331246514,
                "stdev": 0.0003778664958946412,
                "p50": 0.01418344020843506,
                "p90": 0.014742118549346924,
                "p95": 0.01496780776977539,
                "p99": 0.015767346868515015,
                "values": [
                    0.015646719932556154,
                    0.015342592239379883,
                    0.01496780776977539,
                    0.01420902442932129,
                    0.014219264030456542,
                    0.014130175590515137,
                    0.0140830717086792,
                    0.014217215538024902,
                    0.014304256439208985,
                    0.014238719940185546,
                    0.014167039871215821,
                    0.014361599922180175,
                    0.014240768432617188,
                    0.014292991638183594,
                    0.014243840217590332,
                    0.014236672401428223,
                    0.014058496475219727,
                    0.014089216232299804,
                    0.014320639610290528,
                    0.01468723201751709,
                    0.014483455657958985,
                    0.01437388801574707,
                    0.014110719680786133,
                    0.014325759887695312,
                    0.014193663597106934,
                    0.01429196834564209,
                    0.014072832107543945,
                    0.014138303756713867,
                    0.014404607772827148,
                    0.014098496437072753,
                    0.014087167739868164,
                    0.014072832107543945,
                    0.014478336334228516,
                    0.014539775848388671,
                    0.014449664115905762,
                    0.01419264030456543,
                    0.014128128051757812,
                    0.0142807035446167,
                    0.014063615798950196,
                    0.014120960235595703,
                    0.014013440132141113,
                    0.01389568042755127,
                    0.014100480079650878,
                    0.014735360145568848,
                    0.01480294418334961,
                    0.01496780776977539,
                    0.014590975761413574,
                    0.014229503631591797,
                    0.014039039611816406,
                    0.014112832069396973,
                    0.014205951690673829,
                    0.014049280166625976,
                    0.0139683198928833,
                    0.014105536460876466,
                    0.013980704307556152,
                    0.014137344360351562,
                    0.014153727531433105,
                    0.014132224082946777,
                    0.01400115203857422,
                    0.013963295936584472,
                    0.014174240112304688,
                    0.01415167999267578,
                    0.013998080253601074,
                    0.013989919662475587,
                    0.014042143821716308,
                    0.014018560409545898,
                    0.016035839080810545,
                    0.014881792068481446,
                    0.014321663856506347,
                    0.014167039871215821
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 69.9348610488216
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6509047309741467e-07,
                "ram": 8.989739759100023e-08,
                "gpu": 3.3027804199999085e-07,
                "total": 5.852659126884059e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1708625.0511438851
            }
        }
    }
}