{
    "config": {
        "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base",
        "backend": {
            "name": "pytorch",
            "version": "2.3.0+cu121",
            "_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": 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",
            "start_method": "spawn"
        },
        "environment": {
            "cpu": " AMD EPYC 7R32",
            "cpu_count": 16,
            "cpu_ram_mb": 66697.29792,
            "system": "Linux",
            "machine": "x86_64",
            "platform": "Linux-5.10.215-203.850.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": "0.2.0",
            "optimum_benchmark_commit": null,
            "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": 975.7696,
                "max_global_vram": 1434.976256,
                "max_process_vram": 0.0,
                "max_reserved": 794.820608,
                "max_allocated": 753.607168
            },
            "latency": {
                "unit": "s",
                "count": 68,
                "total": 1.0103604774475095,
                "mean": 0.014858242315404557,
                "stdev": 0.00043792917038431076,
                "p50": 0.014870016098022461,
                "p90": 0.01526097936630249,
                "p95": 0.01581112298965454,
                "p99": 0.016236451740264893,
                "values": [
                    0.015941632270812987,
                    0.01646080017089844,
                    0.016125951766967773,
                    0.015928319931030274,
                    0.015276032447814942,
                    0.014929920196533204,
                    0.01480294418334961,
                    0.014877696037292481,
                    0.01500057601928711,
                    0.015081472396850586,
                    0.014862336158752442,
                    0.01507532787322998,
                    0.015058943748474121,
                    0.0149749755859375,
                    0.015010815620422363,
                    0.015012864112854005,
                    0.014816255569458007,
                    0.014947327613830566,
                    0.014879808425903321,
                    0.01496985626220703,
                    0.01517568016052246,
                    0.015171584129333495,
                    0.014928895950317383,
                    0.015122431755065918,
                    0.014923775672912597,
                    0.014797823905944824,
                    0.01488691234588623,
                    0.015140864372253418,
                    0.014853119850158691,
                    0.014804991722106933,
                    0.014820351600646972,
                    0.014896127700805664,
                    0.01537331199645996,
                    0.015254528045654296,
                    0.014888959884643555,
                    0.014962752342224122,
                    0.014966815948486327,
                    0.01467084789276123,
                    0.014818304061889649,
                    0.01455513572692871,
                    0.014645248413085938,
                    0.01516543960571289,
                    0.015056832313537598,
                    0.01559347152709961,
                    0.014362624168395996,
                    0.014095359802246094,
                    0.01444863986968994,
                    0.014469120025634765,
                    0.014458880424499512,
                    0.01468518352508545,
                    0.014459903717041016,
                    0.014443519592285157,
                    0.01440665626525879,
                    0.01442307186126709,
                    0.014394368171691894,
                    0.014511103630065919,
                    0.014970879554748535,
                    0.014405632019042968,
                    0.014356479644775391,
                    0.014377984046936035,
                    0.014427136421203614,
                    0.014496767997741699,
                    0.01437388801574707,
                    0.014452735900878906,
                    0.014426143646240234,
                    0.014504960060119629,
                    0.014502911567687989,
                    0.01439846420288086
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 67.3027117725245
            },
            "energy": {
                "unit": "kWh",
                "cpu": 1.7039785545969766e-07,
                "ram": 9.314138673809273e-08,
                "gpu": 3.465240867428548e-07,
                "total": 6.100633289406452e-07
            },
            "efficiency": {
                "unit": "samples/kWh",
                "value": 1639174.08662551
            }
        }
    }
}