{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.4.0+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-5.10.223-211.872.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": "4.44.1",
            "transformers_commit": null,
            "accelerate_version": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.0",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.8",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 772.87424,
                "max_global_vram": 1403.518976,
                "max_process_vram": 0.0,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 7.3697646484375,
                "mean": 7.3697646484375,
                "stdev": 0.0,
                "p50": 7.3697646484375,
                "p90": 7.3697646484375,
                "p95": 7.3697646484375,
                "p99": 7.3697646484375,
                "values": [
                    7.3697646484375
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 1.121979824305994e-06,
                "ram": 5.992003326611546e-07,
                "gpu": 1.595556831999849e-06,
                "total": 3.3167369889669972e-06
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1160.617984,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.606656
            },
            "latency": {
                "unit": "s",
                "count": 69,
                "total": 1.007076482772827,
                "mean": 0.01459531134453373,
                "stdev": 0.0005384558927490312,
                "p50": 0.01437388801574707,
                "p90": 0.015276031684875489,
                "p95": 0.015573401260375975,
                "p99": 0.01627136024475097,
                "values": [
                    0.015673343658447265,
                    0.015337471961975097,
                    0.015968255996704102,
                    0.015260671615600586,
                    0.015057984352111817,
                    0.014137344360351562,
                    0.014139391899108887,
                    0.014215167999267577,
                    0.014838784217834473,
                    0.014319616317749024,
                    0.014173184394836426,
                    0.01425100803375244,
                    0.014243840217590332,
                    0.014249983787536622,
                    0.014208000183105468,
                    0.014133248329162598,
                    0.014081024169921874,
                    0.014150655746459961,
                    0.014097408294677734,
                    0.01415782356262207,
                    0.014484479904174804,
                    0.01438310432434082,
                    0.014096384048461913,
                    0.014223360061645507,
                    0.014132224082946777,
                    0.014196736335754395,
                    0.014033920288085937,
                    0.014097408294677734,
                    0.01437183952331543,
                    0.014405632019042968,
                    0.01497804832458496,
                    0.014965760231018066,
                    0.015423487663269043,
                    0.015419391632080079,
                    0.015249407768249512,
                    0.015059967994689942,
                    0.015001600265502929,
                    0.014913536071777344,
                    0.014834688186645508,
                    0.01500876808166504,
                    0.014780415534973144,
                    0.014943231582641601,
                    0.016915456771850586,
                    0.01595903968811035,
                    0.01510707187652588,
                    0.014905344009399414,
                    0.01447321605682373,
                    0.014412799835205077,
                    0.01445683193206787,
                    0.014400511741638184,
                    0.014394368171691894,
                    0.014425087928771972,
                    0.014355456352233887,
                    0.014389247894287109,
                    0.014333951950073242,
                    0.014418944358825684,
                    0.014359552383422852,
                    0.014320704460144043,
                    0.014328831672668458,
                    0.014360575675964356,
                    0.014364671707153321,
                    0.014327808380126953,
                    0.014312447547912598,
                    0.01437388801574707,
                    0.014338047981262207,
                    0.014304256439208985,
                    0.014449664115905762,
                    0.014264320373535156,
                    0.014326784133911133
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 68.51515369519831
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.7020508408731554e-07,
                "ram": 9.298928846778174e-08,
                "gpu": 3.3911535065714516e-07,
                "total": 6.023097232122424e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1660275.3723894628
            }
        }
    }
}