{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cu121",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "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": {},
            "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": true,
            "device_isolation_action": "error",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.29792,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.215-203.850.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": "0.2.0",
            "optimum_benchmark_commit": null,
            "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": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 975.577088,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.607168
            },
            "latency": {
                "unit": "s",
                "count": 71,
                "total": 1.005086657524109,
                "mean": 0.014156150105973365,
                "stdev": 0.00031493793304409923,
                "p50": 0.01408512020111084,
                "p90": 0.01447327995300293,
                "p95": 0.01473689603805542,
                "p99": 0.015300403404235838,
                "values": [
                    0.01498419189453125,
                    0.015462400436401368,
                    0.015230976104736327,
                    0.014900223731994629,
                    0.01449062442779541,
                    0.014098431587219238,
                    0.014229503631591797,
                    0.014137344360351562,
                    0.01408614444732666,
                    0.014318592071533203,
                    0.014095359802246094,
                    0.014156800270080566,
                    0.014210047721862793,
                    0.01408512020111084,
                    0.014109696388244629,
                    0.014109696388244629,
                    0.014103551864624024,
                    0.013922304153442382,
                    0.013993984222412109,
                    0.01430627155303955,
                    0.014070783615112305,
                    0.014433279991149902,
                    0.014278656005859374,
                    0.01407795238494873,
                    0.014215104103088379,
                    0.014150655746459961,
                    0.014049280166625976,
                    0.01405951976776123,
                    0.014132224082946777,
                    0.014247936248779297,
                    0.013961215972900391,
                    0.014078975677490235,
                    0.013974528312683105,
                    0.01421513557434082,
                    0.014573568344116212,
                    0.014401535987854003,
                    0.014147583961486816,
                    0.014073856353759765,
                    0.013998080253601074,
                    0.013926400184631347,
                    0.014013440132141113,
                    0.013737983703613281,
                    0.013808639526367187,
                    0.01447327995300293,
                    0.014417920112609863,
                    0.01455513572692871,
                    0.014313471794128419,
                    0.01428275203704834,
                    0.014201855659484864,
                    0.014118911743164063,
                    0.013982720375061035,
                    0.014033920288085937,
                    0.01390287971496582,
                    0.013535231590270995,
                    0.01366323184967041,
                    0.013989888191223144,
                    0.014417887687683106,
                    0.013982720375061035,
                    0.013900799751281738,
                    0.014057472229003906,
                    0.014002176284790039,
                    0.014052351951599122,
                    0.013959168434143066,
                    0.014007295608520508,
                    0.014070783615112305,
                    0.013882368087768555,
                    0.014052351951599122,
                    0.013985792160034179,
                    0.013990912437438965,
                    0.013792256355285644,
                    0.01380352020263672
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 70.6406750786033
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.598879893620809e-07,
                "ram": 8.741408084460999e-08,
                "gpu": 3.2341507354666346e-07,
                "total": 5.707171437533543e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1752181.4631735822
            }
        }
    }
}