{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.3.1+cu121", "_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": 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", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7R32", "cpu_count": 16, "cpu_ram_mb": 66697.293824, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.219-208.866.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": "0.3.1", "optimum_benchmark_commit": null, "transformers_version": "4.43.1", "transformers_commit": null, "accelerate_version": "0.33.0", "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": 707.64544, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.21685205078125, "mean": 7.21685205078125, "stdev": 0.0, "p50": 7.21685205078125, "p90": 7.21685205078125, "p95": 7.21685205078125, "p99": 7.21685205078125, "values": [ 7.21685205078125 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.1307573980755277e-06, "ram": 5.835251606173604e-07, "gpu": 1.866390381999837e-06, "total": 3.5806729406927247e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 989.990912, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 73, "total": 1.0098422374725344, "mean": 0.013833455307842935, "stdev": 0.0002479352092407627, "p50": 0.013805567741394043, "p90": 0.013982726669311524, "p95": 0.01405583324432373, "p99": 0.014843166885375977, "values": [ 0.014735360145568848, 0.015120384216308593, 0.014575615882873535, 0.013117440223693847, 0.01333350372314453, 0.013833215713500976, 0.013825023651123047, 0.013894656181335448, 0.013825023651123047, 0.013884415626525879, 0.0136878080368042, 0.013702143669128418, 0.013659135818481445, 0.013608960151672364, 0.013626367568969726, 0.013600704193115234, 0.013799424171447755, 0.013812800407409669, 0.013837311744689941, 0.013849599838256836, 0.01376460838317871, 0.013913087844848633, 0.013789183616638183, 0.013821951866149903, 0.014051327705383301, 0.013732864379882812, 0.013875264167785645, 0.01375641632080078, 0.013686783790588379, 0.013712384223937989, 0.013933568000793458, 0.014002176284790039, 0.013776927947998048, 0.013868032455444336, 0.013782015800476074, 0.013805567741394043, 0.01377791976928711, 0.013755359649658204, 0.013822976112365723, 0.013843392372131348, 0.013887424468994141, 0.01377894401550293, 0.013739007949829102, 0.013838335990905762, 0.013717503547668456, 0.013842432022094727, 0.013949983596801758, 0.013857791900634766, 0.013813759803771973, 0.013799455642700196, 0.013835264205932616, 0.01355571174621582, 0.013700096130371094, 0.01379740810394287, 0.013745152473449707, 0.01385267162322998, 0.013742079734802246, 0.013921279907226563, 0.01377791976928711, 0.014062591552734375, 0.013990912437438965, 0.013998080253601074, 0.013739007949829102, 0.013907967567443847, 0.01377791976928711, 0.01380352020263672, 0.013802495956420899, 0.013872127532958984, 0.013756447792053223, 0.013841407775878906, 0.01376460838317871, 0.013811712265014648, 0.013760512351989745 ] }, "throughput": { "unit": "samples/s", "value": 72.28851922722777 }, "energy": { "unit": "kWh", "cpu": 1.6028673441202435e-07, "ram": 8.763329515846965e-08, "gpu": 3.576166524594622e-07, "total": 6.055366820299562e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1651427.6173124216 } } } }