{ "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": "4.42.4", "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": 707.846144, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.15452099609375, "mean": 7.15452099609375, "stdev": 0.0, "p50": 7.15452099609375, "p90": 7.15452099609375, "p95": 7.15452099609375, "p99": 7.15452099609375, "values": [ 7.15452099609375 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.0589159197277495e-06, "ram": 5.646288142766783e-07, "gpu": 0.0, "total": 1.623544734004428e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 990.195712, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 75, "total": 1.0026568307876582, "mean": 0.013368757743835448, "stdev": 0.0005366436495086017, "p50": 0.013310976028442383, "p90": 0.014136115074157716, "p95": 0.014210274982452392, "p99": 0.014867517681121826, "values": [ 0.015004672050476075, 0.014358528137207031, 0.013670399665832519, 0.013678591728210449, 0.013974528312683105, 0.01418447971343994, 0.014156800270080566, 0.014819328308105468, 0.014131199836730958, 0.01397555160522461, 0.013958144187927245, 0.01406873607635498, 0.014140416145324707, 0.01336627197265625, 0.013418496131896973, 0.013512703895568847, 0.013184000015258789, 0.013337599754333495, 0.013252608299255371, 0.013262847900390624, 0.013560832023620606, 0.013528063774108886, 0.013470720291137696, 0.013334527969360351, 0.013351936340332032, 0.013353983879089355, 0.013220864295959473, 0.01336729621887207, 0.013532159805297851, 0.013310976028442383, 0.013246463775634766, 0.013281279563903809, 0.013433856010437012, 0.013608960151672364, 0.013763584136962891, 0.013370368003845215, 0.013296640396118165, 0.013599743843078613, 0.0132925443649292, 0.013227007865905761, 0.013096991539001466, 0.012923904418945312, 0.013416447639465333, 0.013914112091064454, 0.014054400444030762, 0.014139391899108887, 0.013949952125549316, 0.01386905574798584, 0.014270463943481445, 0.013180928230285644, 0.012824576377868652, 0.012817407608032226, 0.012803071975708008, 0.012993535995483398, 0.013041664123535156, 0.012781567573547363, 0.012736512184143066, 0.012978176116943359, 0.012749823570251465, 0.012744704246520995, 0.0127457275390625, 0.012755968093872071, 0.012801024436950683, 0.012759039878845215, 0.012976127624511719, 0.012807168006896973, 0.01274060821533203, 0.012786687850952149, 0.012759039878845215, 0.012758015632629394, 0.012755968093872071, 0.012749823570251465, 0.012774399757385254, 0.012809215545654297, 0.012783616065979005 ] }, "throughput": { "unit": "samples/s", "value": 74.80126569434742 }, "energy": { "unit": "kWh", "cpu": 1.5706205359327865e-07, "ram": 8.58547743185742e-08, "gpu": 3.4365890065788724e-07, "total": 5.865757285697399e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1704809.7138937563 } } } }