{ "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", "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": "2516ce57a5b64eefeb78dc75a171e0cdff88823e", "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": 1025.867776, "max_global_vram": 2103.230464, "max_process_vram": 276664.758272, "max_reserved": 773.849088, "max_allocated": 745.087488 }, "latency": { "unit": "s", "count": 75, "total": 1.006791043281555, "mean": 0.013423880577087403, "stdev": 0.0005688304933573595, "p50": 0.013220816612243653, "p90": 0.014104017448425293, "p95": 0.014426354026794434, "p99": 0.015122304134368904, "values": [ 0.013430736541748046, 0.013728017807006837, 0.01389329719543457, 0.013826738357543946, 0.013846258163452148, 0.013682416915893555, 0.014026737213134766, 0.013728817939758301, 0.013474576950073243, 0.01312385654449463, 0.012970417022705079, 0.013226897239685058, 0.013032496452331543, 0.013286577224731446, 0.01642802047729492, 0.01331745719909668, 0.013152815818786622, 0.01315265655517578, 0.012844977378845214, 0.013220816612243653, 0.012896495819091797, 0.013262097358703612, 0.012888497352600097, 0.013106897354125976, 0.013157456398010255, 0.014663538932800292, 0.013839858055114746, 0.014420977592468262, 0.013561138153076172, 0.013876338005065918, 0.013835376739501953, 0.014438899040222167, 0.014321297645568847, 0.013210577011108398, 0.013092657089233399, 0.012861456871032715, 0.013711696624755859, 0.012858576774597168, 0.012981136322021485, 0.01288193702697754, 0.012845935821533204, 0.013363536834716796, 0.012983217239379882, 0.012986256599426269, 0.013175697326660156, 0.012977775573730468, 0.012925457000732422, 0.013335697174072266, 0.013034577369689942, 0.013042096138000489, 0.013214097023010254, 0.013018257141113281, 0.01296129608154297, 0.013202896118164062, 0.01303201675415039, 0.013035536766052246, 0.013380496978759766, 0.013906417846679687, 0.014458738327026367, 0.014155537605285644, 0.013614418029785157, 0.014204177856445312, 0.013653457641601563, 0.013800017356872559, 0.013606577873229981, 0.01307793617248535, 0.013042896270751954, 0.013031856536865234, 0.013420177459716796, 0.013244016647338867, 0.013031215667724609, 0.013039695739746093, 0.013480977058410644, 0.01312049674987793, 0.013126096725463866 ] }, "throughput": { "unit": "samples/s", "value": 74.49410729315139 }, "energy": null, "efficiency": null } } }