{
    "config": {
        "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "image-classification",
            "library": "transformers",
            "model": "google/vit-base-patch16-224",
            "processor": "google/vit-base-patch16-224",
            "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": 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": "0.2.1",
            "optimum_benchmark_commit": "0b24af9d7b7751f74b160dfade73ef78e10964d6",
            "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": 1060.921344,
                "max_global_vram": 2977.390592,
                "max_process_vram": 177958.797312,
                "max_reserved": 406.847488,
                "max_allocated": 355.912704
            },
            "latency": {
                "unit": "s",
                "count": 134,
                "total": 0.993765127182007,
                "mean": 0.0074161576655373635,
                "stdev": 0.00022013002558605839,
                "p50": 0.007373180866241455,
                "p90": 0.007675228071212768,
                "p95": 0.007889827322959899,
                "p99": 0.008086676378250121,
                "values": [
                    0.007787980079650879,
                    0.007529419898986816,
                    0.007723340034484863,
                    0.008048778533935546,
                    0.008089738845825195,
                    0.00815229892730713,
                    0.008080458641052246,
                    0.008037899971008301,
                    0.00796973991394043,
                    0.007882379055023193,
                    0.007771979808807373,
                    0.007670859813690186,
                    0.00790365982055664,
                    0.007537740230560303,
                    0.00747278118133545,
                    0.007359500885009766,
                    0.007345100879669189,
                    0.007380620956420898,
                    0.0073108611106872555,
                    0.007385100841522217,
                    0.0074012608528137205,
                    0.007334862232208252,
                    0.007404140949249268,
                    0.007339500904083252,
                    0.007327180862426758,
                    0.007291182041168213,
                    0.007278381824493408,
                    0.007416780948638916,
                    0.007481740951538086,
                    0.007489581108093262,
                    0.007669579982757568,
                    0.007584300041198731,
                    0.007603020191192627,
                    0.007666861057281494,
                    0.007660140991210937,
                    0.007719979763031006,
                    0.007579659938812256,
                    0.0075658998489379885,
                    0.007530220985412598,
                    0.007508780002593994,
                    0.007503820896148682,
                    0.007477420806884766,
                    0.007450701236724854,
                    0.007450060844421387,
                    0.007444140911102295,
                    0.007478061199188232,
                    0.007644780158996582,
                    0.007788139820098877,
                    0.00767710018157959,
                    0.007563819885253906,
                    0.007541740894317627,
                    0.007432621002197265,
                    0.007471981048583984,
                    0.00748206090927124,
                    0.007486859798431397,
                    0.007353100776672363,
                    0.007359981060028076,
                    0.007383020877838134,
                    0.007520141124725342,
                    0.007418540954589844,
                    0.007355660915374756,
                    0.007293901920318604,
                    0.007274541854858398,
                    0.007305420875549316,
                    0.0072417411804199215,
                    0.007255180835723877,
                    0.00733358097076416,
                    0.007430221080780029,
                    0.007575980186462402,
                    0.007621100902557373,
                    0.007537580013275146,
                    0.007531980991363526,
                    0.007430700778961181,
                    0.007447660923004151,
                    0.00743294095993042,
                    0.00747245979309082,
                    0.007474700927734375,
                    0.007400940895080566,
                    0.0073939008712768555,
                    0.007405741214752197,
                    0.007356781959533692,
                    0.007321422100067139,
                    0.0073838210105896,
                    0.0073657407760620115,
                    0.007304622173309326,
                    0.007344942092895507,
                    0.0072310218811035155,
                    0.007182701110839844,
                    0.007210862159729004,
                    0.007215181827545166,
                    0.007237901210784912,
                    0.007165262222290039,
                    0.007134860992431641,
                    0.007165582180023194,
                    0.007148941040039062,
                    0.007173262119293213,
                    0.007196142196655274,
                    0.007227341175079346,
                    0.007551821231842041,
                    0.007499660015106201,
                    0.007421260833740235,
                    0.007349260807037353,
                    0.0072753410339355465,
                    0.007292460918426513,
                    0.00714638090133667,
                    0.0072615818977355955,
                    0.00723534107208252,
                    0.007337261199951172,
                    0.007228940963745117,
                    0.007187982082366943,
                    0.007240140914916992,
                    0.007260941028594971,
                    0.007217260837554931,
                    0.007234541893005371,
                    0.0072227010726928715,
                    0.007332460880279541,
                    0.007293900966644287,
                    0.00725150203704834,
                    0.0072561421394348145,
                    0.0072724609375,
                    0.007248941898345947,
                    0.007287662029266357,
                    0.007108302116394043,
                    0.007226861953735351,
                    0.007170540809631348,
                    0.007177102088928223,
                    0.007210540771484375,
                    0.007120302200317383,
                    0.007253581047058105,
                    0.007168302059173584,
                    0.007171981811523438,
                    0.0071423821449279785,
                    0.0071716618537902834,
                    0.007133901119232178
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 134.84071470688474
            },
            "energy": null,
            "efficiency": null
        }
    }
}