{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+cu124", "_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": 66697.261056, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.223-211.872.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": "0.4.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.30.1", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 772.575232, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.40505615234375, "mean": 7.40505615234375, "stdev": 0.0, "p50": 7.40505615234375, "p90": 7.40505615234375, "p95": 7.40505615234375, "p99": 7.40505615234375, "values": [ 7.40505615234375 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.1100742284719603e-06, "ram": 5.765689863840177e-07, "gpu": 1.7283347160000281e-06, "total": 3.414977930856006e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1160.003584, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 70, "total": 1.0086134986877437, "mean": 0.014408764266967774, "stdev": 0.0004599729831671315, "p50": 0.014404095649719239, "p90": 0.014881379413604736, "p95": 0.01501122522354126, "p99": 0.015995689067840577, "values": [ 0.01621401596069336, 0.015897600173950196, 0.014999551773071289, 0.013971455574035644, 0.013923328399658203, 0.013912063598632812, 0.013841407775878906, 0.013956095695495606, 0.014065664291381836, 0.01387929630279541, 0.013837311744689941, 0.014545920372009278, 0.014573535919189452, 0.014476287841796874, 0.014468128204345704, 0.014629887580871583, 0.014331904411315918, 0.014348287582397461, 0.014415871620178223, 0.014548992156982422, 0.0148787202835083, 0.01468723201751709, 0.014429183959960937, 0.014757887840270996, 0.014905311584472657, 0.014586879730224609, 0.014430208206176758, 0.014542847633361817, 0.014682175636291504, 0.014446592330932618, 0.014499839782714843, 0.014516223907470703, 0.015006719589233398, 0.015014911651611328, 0.014690303802490234, 0.014542847633361817, 0.014608384132385254, 0.014392319679260255, 0.014272512435913086, 0.014836735725402832, 0.014328831672668458, 0.014125056266784668, 0.014512127876281738, 0.014434304237365723, 0.014576640129089356, 0.01437600040435791, 0.01428377628326416, 0.014303232192993164, 0.014153727531433105, 0.014000127792358399, 0.01391926383972168, 0.013966367721557618, 0.014023679733276367, 0.014138367652893067, 0.01428889560699463, 0.014118911743164063, 0.014020607948303223, 0.013917183876037598, 0.013936639785766602, 0.013921279907226563, 0.013941727638244628, 0.01397657585144043, 0.013923359870910644, 0.014073856353759765, 0.01457049560546875, 0.014163968086242675, 0.01579520034790039, 0.014766079902648926, 0.014486495971679687, 0.014006272315979004 ] }, "throughput": { "unit": "samples/s", "value": 69.40220420515237 }, "energy": { "unit": "kWh", "cpu": 1.5861005288887234e-07, "ram": 8.629375943599086e-08, "gpu": 3.4550027640000333e-07, "total": 5.904040887248665e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1693755.2078268358 } } } }