cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.1+cu121",
            "_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": {},
            "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",
            "numactl": false,
            "numactl_kwargs": {},
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.293824,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.219-208.866.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": "0.3.1",
            "optimum_benchmark_commit": null,
            "transformers_version": "4.42.4",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 977.772544,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.607168
            },
            "latency": {
                "unit": "s",
                "count": 73,
                "total": 1.0037759685516363,
                "mean": 0.013750355733584053,
                "stdev": 0.0005961262034134148,
                "p50": 0.013675519943237305,
                "p90": 0.013995622062683106,
                "p95": 0.01482690563201903,
                "p99": 0.01621843948364258,
                "values": [
                    0.01643519973754883,
                    0.016134143829345703,
                    0.01572454357147217,
                    0.015904735565185547,
                    0.013771776199340821,
                    0.013461503982543945,
                    0.013385727882385253,
                    0.013410304069519043,
                    0.013352959632873536,
                    0.01337548828125,
                    0.013340671539306641,
                    0.013339648246765137,
                    0.013347840309143067,
                    0.013407232284545899,
                    0.013336576461791993,
                    0.013376511573791505,
                    0.013376480102539062,
                    0.013364224433898926,
                    0.013334527969360351,
                    0.01335807991027832,
                    0.01333350372314453,
                    0.013574144363403321,
                    0.013389823913574218,
                    0.013342783927917481,
                    0.013339648246765137,
                    0.01336627197265625,
                    0.01338368034362793,
                    0.013367327690124511,
                    0.013399040222167969,
                    0.013477888107299805,
                    0.013419520378112794,
                    0.013369343757629394,
                    0.014133248329162598,
                    0.014113792419433594,
                    0.014228480339050293,
                    0.013965312004089356,
                    0.014003199577331543,
                    0.013834239959716797,
                    0.013806591987609864,
                    0.013832192420959472,
                    0.013710335731506347,
                    0.013811712265014648,
                    0.013707263946533203,
                    0.013729791641235351,
                    0.013660160064697266,
                    0.013936608314514161,
                    0.013806591987609864,
                    0.013774815559387208,
                    0.0136878080368042,
                    0.013651968002319336,
                    0.013711359977722168,
                    0.013659135818481445,
                    0.013685759544372558,
                    0.013700096130371094,
                    0.013715456008911133,
                    0.013661184310913087,
                    0.013675519943237305,
                    0.0136878080368042,
                    0.013627391815185547,
                    0.013723648071289063,
                    0.013731840133666993,
                    0.013694975852966309,
                    0.01365503978729248,
                    0.013674495697021484,
                    0.013731840133666993,
                    0.013669376373291015,
                    0.013730815887451172,
                    0.013675519943237305,
                    0.01375641632080078,
                    0.013700096130371094,
                    0.013743103981018067,
                    0.013722623825073242,
                    0.013747200012207032
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 72.72539120988606
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6954305679398898e-07,
                "ram": 9.219975320970203e-08,
                "gpu": 3.690652404788694e-07,
                "total": 6.308080504825604e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1585268.2907819776
            }
        }
    }
}