{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.2.2+rocm5.7",
            "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
            "task": "token-classification",
            "library": "transformers",
            "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": 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",
            "numactl": false,
            "numactl_kwargs": {},
            "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": "619f91dd928d405e72e9e7724b958f1538ca7d80",
            "transformers_version": "4.41.0",
            "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": 1027.104768,
                "max_global_vram": 12784.238592,
                "max_process_vram": 262876.34432,
                "max_reserved": 773.849088,
                "max_allocated": 745.087488
            },
            "latency": {
                "unit": "s",
                "count": 67,
                "total": 0.9983512449264527,
                "mean": 0.014900764849648546,
                "stdev": 0.00034036146692669914,
                "p50": 0.01482852840423584,
                "p90": 0.015323985862731935,
                "p95": 0.015422754192352294,
                "p99": 0.015930484180450444,
                "values": [
                    0.014286286354064941,
                    0.015408530235290527,
                    0.015503089904785156,
                    0.015428850173950195,
                    0.015219888687133788,
                    0.0153685302734375,
                    0.015092529296875,
                    0.015102768898010254,
                    0.015294289588928223,
                    0.015083568572998047,
                    0.015201329231262207,
                    0.015515410423278808,
                    0.015395090103149415,
                    0.0152683687210083,
                    0.016736215591430664,
                    0.015257490158081055,
                    0.014849807739257813,
                    0.014745488166809081,
                    0.01474452781677246,
                    0.01478212833404541,
                    0.014601966857910157,
                    0.014984528541564941,
                    0.014619088172912598,
                    0.0148896484375,
                    0.014629487991333007,
                    0.014866928100585937,
                    0.014531086921691895,
                    0.014875887870788574,
                    0.014594927787780761,
                    0.014854607582092285,
                    0.014651568412780761,
                    0.014670448303222656,
                    0.014886928558349609,
                    0.014684528350830077,
                    0.014832847595214844,
                    0.01460324764251709,
                    0.01475924777984619,
                    0.014836367607116699,
                    0.014797489166259765,
                    0.014623887062072754,
                    0.01483108901977539,
                    0.014606447219848632,
                    0.014813009262084962,
                    0.01457940673828125,
                    0.014818608283996582,
                    0.014621006965637206,
                    0.01482852840423584,
                    0.01470820713043213,
                    0.014861488342285156,
                    0.014672368049621583,
                    0.014879728317260742,
                    0.014610447883605958,
                    0.014827407836914063,
                    0.014728207588195801,
                    0.014848689079284667,
                    0.014716848373413086,
                    0.014943408012390138,
                    0.01472276782989502,
                    0.014827887535095214,
                    0.014805328369140626,
                    0.01489556884765625,
                    0.014851408004760742,
                    0.015011569023132325,
                    0.014889328956604005,
                    0.014779088020324706,
                    0.014802927017211915,
                    0.0147915678024292
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 67.11064902306583
            },
            "energy": null,
            "efficiency": null
        }
    }
}