{
    "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": "77ca106f4cf33f416814fc4a120313d806701176",
            "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": 892.157952,
                "max_global_vram": 3346.497536,
                "max_process_vram": 43372.58496,
                "max_reserved": 773.849088,
                "max_allocated": 736.603648
            },
            "latency": {
                "unit": "s",
                "count": 1,
                "total": 7.25148095703125,
                "mean": 7.25148095703125,
                "stdev": 0.0,
                "p50": 7.25148095703125,
                "p90": 7.25148095703125,
                "p95": 7.25148095703125,
                "p99": 7.25148095703125,
                "values": [
                    7.25148095703125
                ]
            },
            "throughput": null,
            "energy": null,
            "efficiency": null
        },
        "forward": {
            "memory": {
                "unit": "MB",
                "max_ram": 1036.918784,
                "max_global_vram": 3409.416192,
                "max_process_vram": 285760.622592,
                "max_reserved": 773.849088,
                "max_allocated": 745.086976
            },
            "latency": {
                "unit": "s",
                "count": 69,
                "total": 1.0042399044036865,
                "mean": 0.014554201513096906,
                "stdev": 0.0007836580523433727,
                "p50": 0.014754534721374512,
                "p90": 0.015240741920471191,
                "p95": 0.01567671012878418,
                "p99": 0.01654392711639403,
                "values": [
                    0.015913252830505372,
                    0.015927172660827636,
                    0.015725414276123048,
                    0.015114374160766601,
                    0.014628134727478027,
                    0.013963976860046386,
                    0.014360136032104492,
                    0.014823175430297852,
                    0.01494621467590332,
                    0.014900935173034669,
                    0.014684294700622559,
                    0.017854530334472655,
                    0.015603653907775879,
                    0.014907014846801759,
                    0.015089574813842774,
                    0.014867175102233886,
                    0.015097414016723633,
                    0.014881094932556153,
                    0.015206693649291992,
                    0.014949894905090333,
                    0.015117254257202149,
                    0.014907654762268066,
                    0.014915175437927246,
                    0.015230053901672364,
                    0.014900614738464355,
                    0.014868135452270509,
                    0.015226054191589355,
                    0.01494077491760254,
                    0.014863334655761718,
                    0.015321574211120605,
                    0.014855654716491699,
                    0.014229415893554687,
                    0.014754534721374512,
                    0.014547334671020509,
                    0.014281736373901368,
                    0.01445517635345459,
                    0.015239653587341308,
                    0.01495821475982666,
                    0.014883335113525391,
                    0.015245095252990722,
                    0.014767974853515624,
                    0.013983336448669434,
                    0.01368749713897705,
                    0.01427613639831543,
                    0.013937416076660157,
                    0.01368909740447998,
                    0.014038536071777344,
                    0.013891656875610352,
                    0.013691017150878906,
                    0.014214535713195801,
                    0.01394765567779541,
                    0.013792937278747558,
                    0.013476616859436035,
                    0.013594217300415039,
                    0.01328285789489746,
                    0.013928616523742676,
                    0.01338189697265625,
                    0.01336701774597168,
                    0.014414054870605469,
                    0.014824934959411621,
                    0.014875974655151367,
                    0.01469069480895996,
                    0.014043816566467285,
                    0.013885576248168946,
                    0.013607976913452148,
                    0.01339485740661621,
                    0.01333437728881836,
                    0.013266858100891113,
                    0.01376685619354248
                ]
            },
            "throughput": {
                "unit": "samples/s",
                "value": 68.70868175764427
            },
            "energy": null,
            "efficiency": null
        }
    }
}