{
    "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",
            "model": "microsoft/deberta-v3-base",
            "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": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
            "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": 1022.967808,
                "max_global_vram": 1122.861056,
                "max_process_vram": 313092.632576,
                "max_reserved": 773.849088,
                "max_allocated": 745.087488
            },
            "latency": {
                "unit": "s",
                "count": 64,
                "total": 1.002216485977173,
                "mean": 0.015659632593393327,
                "stdev": 0.00032657959496250246,
                "p50": 0.0156137056350708,
                "p90": 0.016119156646728517,
                "p95": 0.016201380729675294,
                "p99": 0.01642167297363281,
                "values": [
                    0.014580034255981445,
                    0.015380826950073243,
                    0.015632505416870116,
                    0.015705784797668456,
                    0.015665465354919434,
                    0.015613625526428223,
                    0.015462427139282227,
                    0.015415387153625488,
                    0.015331868171691895,
                    0.015300507545471192,
                    0.015308828353881835,
                    0.01517123031616211,
                    0.015371388435363769,
                    0.015199708938598632,
                    0.015440986633300782,
                    0.015365467071533204,
                    0.015630425453186034,
                    0.015564346313476562,
                    0.015875542640686035,
                    0.015610745429992676,
                    0.015710584640502928,
                    0.015358907699584961,
                    0.015540506362915039,
                    0.015366908073425292,
                    0.015511066436767577,
                    0.01519986915588379,
                    0.015571545600891114,
                    0.015733304023742675,
                    0.01585154342651367,
                    0.01549522590637207,
                    0.015496186256408691,
                    0.01568210506439209,
                    0.015999061584472656,
                    0.015836183547973632,
                    0.015821144104003905,
                    0.015796024322509764,
                    0.016090261459350587,
                    0.015565146446228027,
                    0.015568985939025878,
                    0.015391707420349121,
                    0.01592898178100586,
                    0.015771544456481934,
                    0.01599650192260742,
                    0.015524986267089844,
                    0.015766103744506835,
                    0.015821304321289063,
                    0.01604498291015625,
                    0.01618914031982422,
                    0.016131540298461915,
                    0.016135221481323243,
                    0.01621921920776367,
                    0.015613785743713379,
                    0.015590585708618165,
                    0.015798744201660157,
                    0.01585922336578369,
                    0.016203540802001953,
                    0.01660129737854004,
                    0.016316179275512696,
                    0.015740824699401856,
                    0.015590585708618165,
                    0.015331707000732421,
                    0.01589426326751709,
                    0.01535746669769287,
                    0.015575386047363282
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 63.85845862194059
            },
            "energy": null,
            "efficiency": null
        }
    }
}