{
    "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-5.10.224-212.876.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": "0.34.2",
            "accelerate_commit": null,
            "diffusers_version": "0.30.3",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": "0.12.0",
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 797.917184,
                "max_global_vram": 1410.859008,
                "max_process_vram": 0.0,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 8.01407177734375,
                "mean": 8.01407177734375,
                "stdev": 0.0,
                "p50": 8.01407177734375,
                "p90": 8.01407177734375,
                "p95": 8.01407177734375,
                "p99": 8.01407177734375,
                "values": [
                    8.01407177734375
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 2.4038666895787884e-06,
                "ram": 1.2984701142261963e-06,
                "gpu": 3.286947074004204e-06,
                "total": 6.989283877809188e-06
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1185.56672,
                "max_global_vram": 1442.316288,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.606656
            },
            "latency": {
                "unit": "s",
                "count": 72,
                "total": 0.9983485450744628,
                "mean": 0.013865952014923097,
                "stdev": 0.0006044894030531755,
                "p50": 0.01383833599090576,
                "p90": 0.014479564666748046,
                "p95": 0.015341721487045289,
                "p99": 0.01596775012016297,
                "values": [
                    0.01625497627258301,
                    0.01585043239593506,
                    0.015329279899597169,
                    0.013635583877563476,
                    0.013475839614868163,
                    0.013396991729736327,
                    0.013401087760925292,
                    0.013361151695251466,
                    0.013434880256652832,
                    0.013412351608276368,
                    0.0132741117477417,
                    0.013402112007141113,
                    0.01386291217803955,
                    0.014012415885925293,
                    0.01409126377105713,
                    0.01420083236694336,
                    0.014235648155212402,
                    0.014125056266784668,
                    0.014096384048461913,
                    0.01407590389251709,
                    0.013813759803771973,
                    0.013450240135192871,
                    0.013659135818481445,
                    0.01349120044708252,
                    0.013386688232421874,
                    0.013384672164916992,
                    0.013447168350219727,
                    0.013373439788818359,
                    0.013411328315734864,
                    0.013497344017028809,
                    0.01340006446838379,
                    0.013407232284545899,
                    0.01338265609741211,
                    0.013394944190979004,
                    0.013368320465087891,
                    0.013376511573791505,
                    0.01337446403503418,
                    0.013399040222167969,
                    0.01337446403503418,
                    0.013419520378112794,
                    0.013353983879089355,
                    0.013380576133728027,
                    0.013371392250061035,
                    0.013585408210754395,
                    0.013458432197570801,
                    0.013420543670654296,
                    0.013344767570495606,
                    0.013890560150146485,
                    0.01450598430633545,
                    0.014435327529907227,
                    0.014328831672668458,
                    0.014484479904174804,
                    0.01451417636871338,
                    0.014003199577331543,
                    0.013949952125549316,
                    0.014183423995971679,
                    0.014039039611816406,
                    0.013945792198181152,
                    0.013997056007385255,
                    0.013937664031982423,
                    0.013933568000793458,
                    0.013890560150146485,
                    0.013889535903930664,
                    0.014100480079650878,
                    0.015459327697753907,
                    0.015356927871704102,
                    0.014134271621704102,
                    0.013990912437438965,
                    0.013905920028686524,
                    0.013925375938415528,
                    0.01387007999420166,
                    0.014019583702087402
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 72.11910144530715
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.673839045187039e-07,
                "ram": 9.138747273524154e-08,
                "gpu": 3.389008970985695e-07,
                "total": 5.976722743525149e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1673157.753692598
            }
        }
    }
}