{
    "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": 797.925376,
                "max_global_vram": 1410.859008,
                "max_process_vram": 0.0,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 8.00678173828125,
                "mean": 8.00678173828125,
                "stdev": 0.0,
                "p50": 8.00678173828125,
                "p90": 8.00678173828125,
                "p95": 8.00678173828125,
                "p99": 8.00678173828125,
                "values": [
                    8.00678173828125
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 2.382359352082375e-06,
                "ram": 1.2867832843096755e-06,
                "gpu": 3.7077807440001956e-06,
                "total": 7.376923380392246e-06
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1187.414016,
                "max_global_vram": 1442.316288,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.606656
            },
            "latency": {
                "unit": "s",
                "count": 72,
                "total": 1.01028134059906,
                "mean": 0.014031685286098057,
                "stdev": 0.00028237615654976337,
                "p50": 0.01393665599822998,
                "p90": 0.01418168296813965,
                "p95": 0.014421094417572021,
                "p99": 0.01532762106895447,
                "values": [
                    0.01548902416229248,
                    0.014932991981506348,
                    0.015261695861816407,
                    0.014311424255371094,
                    0.014166015625,
                    0.013956095695495606,
                    0.013964287757873535,
                    0.014015487670898438,
                    0.013936639785766602,
                    0.013911040306091308,
                    0.013969408035278321,
                    0.013917183876037598,
                    0.013880319595336914,
                    0.013965312004089356,
                    0.013894656181335448,
                    0.013919232368469238,
                    0.013974495887756348,
                    0.014163968086242675,
                    0.01394380760192871,
                    0.013906944274902343,
                    0.013926400184631347,
                    0.014114815711975098,
                    0.014000127792358399,
                    0.013923328399658203,
                    0.013914112091064454,
                    0.013910016059875489,
                    0.014149632453918457,
                    0.013942784309387207,
                    0.013932543754577637,
                    0.013872127532958984,
                    0.013939711570739746,
                    0.013846528053283692,
                    0.013944831848144532,
                    0.013920255661010742,
                    0.013907967567443847,
                    0.013944831848144532,
                    0.013922240257263184,
                    0.01386291217803955,
                    0.013900799751281738,
                    0.013917183876037598,
                    0.013864959716796875,
                    0.013877216339111329,
                    0.013880319595336914,
                    0.013907967567443847,
                    0.013834303855895996,
                    0.014108672142028808,
                    0.013873151779174805,
                    0.013912063598632812,
                    0.01387929630279541,
                    0.013911040306091308,
                    0.013917183876037598,
                    0.013964287757873535,
                    0.014065664291381836,
                    0.01418239974975586,
                    0.01455513572692871,
                    0.014269439697265626,
                    0.01417523193359375,
                    0.013965312004089356,
                    0.01399084758758545,
                    0.013922304153442382,
                    0.013996031761169434,
                    0.013982720375061035,
                    0.0140697603225708,
                    0.013915136337280273,
                    0.014024671554565429,
                    0.014142463684082032,
                    0.013933568000793458,
                    0.013929471969604493,
                    0.014240768432617188,
                    0.01393667221069336,
                    0.013924351692199707,
                    0.013855744361877441
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 71.26727685310571
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6522153233988893e-07,
                "ram": 9.027629395572145e-08,
                "gpu": 3.6466464358331924e-07,
                "total": 6.201624698789297e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1612480.6781603917
            }
        }
    }
}