{
    "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_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": 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": "0.3.1",
            "optimum_benchmark_commit": "d0c0a5c5918412583a4f2490ab7e3d1b48375998",
            "transformers_version": "4.42.4",
            "transformers_commit": null,
            "accelerate_version": "0.32.1",
            "accelerate_commit": null,
            "diffusers_version": "0.29.2",
            "diffusers_commit": null,
            "optimum_version": null,
            "optimum_commit": null,
            "timm_version": "1.0.7",
            "timm_commit": null,
            "peft_version": null,
            "peft_commit": null
        }
    },
    "report": {
        "load": {
            "memory": {
                "unit": "MB",
                "max_ram": 892.08832,
                "max_global_vram": 1059.872768,
                "max_process_vram": 45281.251328,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 7.40580712890625,
                "mean": 7.40580712890625,
                "stdev": 0.0,
                "p50": 7.40580712890625,
                "p90": 7.40580712890625,
                "p95": 7.40580712890625,
                "p99": 7.40580712890625,
                "values": [
                    7.40580712890625
                ]
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1036.849152,
                "max_global_vram": 1122.79552,
                "max_process_vram": 312534.925312,
                "max_reserved": 773.849088,
                "max_allocated": 745.086976
            },
            "latency": {
                "unit": "s",
                "count": 67,
                "total": 1.0063633680343627,
                "mean": 0.015020348776632282,
                "stdev": 0.0002718591825453643,
                "p50": 0.014983362197875976,
                "p90": 0.01533001766204834,
                "p95": 0.015495971298217772,
                "p99": 0.015759138240814208,
                "values": [
                    0.015735201835632324,
                    0.01580560302734375,
                    0.015589922904968261,
                    0.01553696346282959,
                    0.015194241523742675,
                    0.015400322914123535,
                    0.015138242721557617,
                    0.015286561965942382,
                    0.014935202598571777,
                    0.014895682334899902,
                    0.014754242897033691,
                    0.014737122535705567,
                    0.014976322174072266,
                    0.014861923217773437,
                    0.014784482002258301,
                    0.015022083282470703,
                    0.014808801651000977,
                    0.014781123161315917,
                    0.01504848289489746,
                    0.014778882026672364,
                    0.014782563209533691,
                    0.015046881675720216,
                    0.014497122764587402,
                    0.014003361701965332,
                    0.014698562622070312,
                    0.014868162155151366,
                    0.014891202926635743,
                    0.01527024269104004,
                    0.014983362197875976,
                    0.015113923072814941,
                    0.014844002723693848,
                    0.014988641738891601,
                    0.014953442573547363,
                    0.015337601661682129,
                    0.014953923225402833,
                    0.015019203186035156,
                    0.015324961662292481,
                    0.0149873628616333,
                    0.014937281608581543,
                    0.015273603439331054,
                    0.014916322708129882,
                    0.014956802368164062,
                    0.015261122703552246,
                    0.014992162704467774,
                    0.014924322128295898,
                    0.015354883193969727,
                    0.014968161582946777,
                    0.015004802703857421,
                    0.015283203125,
                    0.014992001533508301,
                    0.014931363105773926,
                    0.015318403244018555,
                    0.01499184226989746,
                    0.014998723030090332,
                    0.015200801849365234,
                    0.015018242835998535,
                    0.01497920322418213,
                    0.015046241760253907,
                    0.01487008285522461,
                    0.015315361976623535,
                    0.014903682708740235,
                    0.014873923301696778,
                    0.014848801612854004,
                    0.015021443367004395,
                    0.014797761917114257,
                    0.014892321586608886,
                    0.014854561805725098
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 66.57635018141106
            },
            "energy": null,
            "efficiency": null
        }
    }
}