{
    "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-5.10.223-212.873.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": "0.33.0",
            "accelerate_commit": null,
            "diffusers_version": "0.30.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.9",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 773.009408,
                "max_global_vram": 1403.518976,
                "max_process_vram": 0.0,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 7.43328173828125,
                "mean": 7.43328173828125,
                "stdev": 0.0,
                "p50": 7.43328173828125,
                "p90": 7.43328173828125,
                "p95": 7.43328173828125,
                "p99": 7.43328173828125,
                "values": [
                    7.43328173828125
                ]
            },
            "throughput": null,
            "energy": {
                "unit": "kWh",
                "cpu": 1.0892675743054526e-06,
                "ram": 5.813666317015276e-07,
                "gpu": 1.6472235400003324e-06,
                "total": 3.3178577460073127e-06
            },
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1160.450048,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.606656
            },
            "latency": {
                "unit": "s",
                "count": 71,
                "total": 1.0026894416809085,
                "mean": 0.014122386502548004,
                "stdev": 0.00045075575625187693,
                "p50": 0.014092288017272948,
                "p90": 0.014503935813903808,
                "p95": 0.014668799877166749,
                "p99": 0.01575337619781494,
                "values": [
                    0.015672256469726562,
                    0.015257599830627442,
                    0.014418944358825684,
                    0.014153727531433105,
                    0.014332927703857423,
                    0.01438310432434082,
                    0.014039039611816406,
                    0.014118911743164063,
                    0.01430953598022461,
                    0.01406156826019287,
                    0.013938688278198242,
                    0.014455807685852052,
                    0.01594265556335449,
                    0.014526464462280274,
                    0.014309375762939454,
                    0.014227456092834472,
                    0.014092288017272948,
                    0.0140697603225708,
                    0.014154751777648926,
                    0.014050304412841797,
                    0.014189567565917969,
                    0.01438310432434082,
                    0.014295040130615234,
                    0.014135295867919923,
                    0.01437286376953125,
                    0.014180319786071777,
                    0.014123007774353028,
                    0.014087167739868164,
                    0.014326815605163573,
                    0.014097408294677734,
                    0.013983648300170898,
                    0.014045184135437011,
                    0.014070783615112305,
                    0.014503935813903808,
                    0.014338047981262207,
                    0.014286848068237304,
                    0.014169088363647461,
                    0.014141440391540527,
                    0.01407795238494873,
                    0.0138854398727417,
                    0.01388748836517334,
                    0.013802559852600097,
                    0.013699071884155273,
                    0.014404607772827148,
                    0.014620672225952149,
                    0.014716927528381347,
                    0.014516223907470703,
                    0.01437491226196289,
                    0.014346240043640136,
                    0.014333951950073242,
                    0.014089247703552247,
                    0.013947903633117676,
                    0.01387724781036377,
                    0.013894656181335448,
                    0.013851584434509278,
                    0.013423616409301758,
                    0.01351360034942627,
                    0.013658111572265624,
                    0.01356390380859375,
                    0.013443072319030762,
                    0.013467647552490235,
                    0.013320192337036133,
                    0.01338265609741211,
                    0.013459456443786622,
                    0.013570048332214356,
                    0.013633536338806153,
                    0.013981696128845214,
                    0.01408614444732666,
                    0.01398476791381836,
                    0.013990912437438965,
                    0.01363865566253662
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 70.80956181305312
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.6988715288690622e-07,
                "ram": 9.271444672106154e-08,
                "gpu": 3.529090124857237e-07,
                "total": 6.155106120936915e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1624667.3580467568
            }
        }
    }
}