{
    "config": {
        "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "fill-mask",
            "model": "google-bert/bert-base-uncased",
            "library": "transformers",
            "device": "cuda",
            "device_ids": "0",
            "seed": 42,
            "inter_op_num_threads": null,
            "intra_op_num_threads": null,
            "hub_kwargs": {
                "revision": "main",
                "force_download": false,
                "local_files_only": false,
                "trust_remote_code": false
            },
            "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": false,
            "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 7763 64-Core Processor",
            "cpu_count": 128,
            "cpu_ram_mb": 1082015.236096,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35",
            "processor": "x86_64",
            "python_version": "3.10.12",
            "gpu": [
                "Advanced Micro Devices, Inc. [AMD/ATI]"
            ],
            "gpu_count": 1,
            "gpu_vram_mb": 68702699520,
            "optimum_benchmark_version": "0.2.0",
            "optimum_benchmark_commit": "b0a0b933f18d5fa56eadb290a26cc2099f2dd4d8",
            "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": "0.9.16",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1005.400064,
                "max_global_vram": 930.57024,
                "max_process_vram": 239266.459648,
                "max_reserved": 589.299712,
                "max_allocated": 439.700992
            },
            "latency": {
                "unit": "s",
                "count": 134,
                "total": 0.9997294569015504,
                "mean": 0.007460667588817538,
                "stdev": 0.00038722019670569673,
                "p50": 0.007234107971191406,
                "p90": 0.008054837894439696,
                "p95": 0.008090197992324829,
                "p99": 0.008532466020584101,
                "values": [
                    0.007447465896606446,
                    0.007298508167266846,
                    0.0072730669975280765,
                    0.007475626945495605,
                    0.007611306190490723,
                    0.007490507125854492,
                    0.007416906833648681,
                    0.007463625907897949,
                    0.007365867137908936,
                    0.007375146865844727,
                    0.007318188190460205,
                    0.007238187789916992,
                    0.00714058780670166,
                    0.007180109024047852,
                    0.007175467967987061,
                    0.007187949180603027,
                    0.007114348888397216,
                    0.0071695480346679686,
                    0.007204267978668213,
                    0.00716218900680542,
                    0.007133549213409424,
                    0.007230187892913818,
                    0.007225068092346192,
                    0.007161707878112793,
                    0.007183309078216553,
                    0.007191147804260254,
                    0.007134189128875732,
                    0.007210187911987305,
                    0.007266188144683838,
                    0.007205708026885986,
                    0.007256748199462891,
                    0.007275308132171631,
                    0.007470346927642822,
                    0.007410665988922119,
                    0.007378827095031739,
                    0.007320908069610596,
                    0.007363146781921387,
                    0.007316586971282959,
                    0.0072973880767822265,
                    0.007177867889404297,
                    0.007182508945465088,
                    0.007222988128662109,
                    0.008992895126342774,
                    0.008669217109680176,
                    0.007867623805999755,
                    0.007477385997772217,
                    0.00755850601196289,
                    0.007561864852905273,
                    0.007770504951477051,
                    0.00771946382522583,
                    0.0076349849700927735,
                    0.00757002592086792,
                    0.007478025913238526,
                    0.007215948104858399,
                    0.007335628032684326,
                    0.007198668003082275,
                    0.007210827827453613,
                    0.007545065879821777,
                    0.007409707069396972,
                    0.00716122817993164,
                    0.007174668788909912,
                    0.0071719479560852055,
                    0.007232587814331054,
                    0.007380587100982666,
                    0.007143949031829834,
                    0.007197388172149658,
                    0.007223467826843261,
                    0.007169548988342285,
                    0.007220427989959716,
                    0.007198187828063965,
                    0.007228588104248047,
                    0.00720314884185791,
                    0.0072025079727172855,
                    0.007178028106689453,
                    0.007219948768615723,
                    0.007192588806152343,
                    0.007170827865600586,
                    0.0071301889419555665,
                    0.007217867851257324,
                    0.007220108032226563,
                    0.007193388938903808,
                    0.0071812281608581545,
                    0.007185548782348633,
                    0.007228428840637207,
                    0.007182347774505615,
                    0.0071914677619934085,
                    0.007184429168701172,
                    0.007217068195343018,
                    0.007204748153686523,
                    0.007200108051300049,
                    0.0071821889877319335,
                    0.007172428131103516,
                    0.007132268905639648,
                    0.007165869235992431,
                    0.0071977081298828125,
                    0.0071375489234924315,
                    0.0071866679191589355,
                    0.007185227870941162,
                    0.007235628128051758,
                    0.007210188865661621,
                    0.007190187931060791,
                    0.007145228862762451,
                    0.007239788055419922,
                    0.007211947917938232,
                    0.007122189044952393,
                    0.007108108997344971,
                    0.008254819869995118,
                    0.008052421569824218,
                    0.008010342597961425,
                    0.00797066307067871,
                    0.008143140792846679,
                    0.00805098247528076,
                    0.008058502197265624,
                    0.008044102668762206,
                    0.008052902221679687,
                    0.008028422355651856,
                    0.00805178165435791,
                    0.008029063224792481,
                    0.00805338191986084,
                    0.008046821594238281,
                    0.008006181716918945,
                    0.008012103080749513,
                    0.008065061569213867,
                    0.008019461631774902,
                    0.008090822219848633,
                    0.008043782234191894,
                    0.0081626615524292,
                    0.008049861907958984,
                    0.008095622062683105,
                    0.008082661628723144,
                    0.008089861869812011,
                    0.008061382293701172,
                    0.0080777006149292,
                    0.008055461883544921
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 134.0362625857846
            },
            "energy": null,
            "efficiency": null
        }
    }
}