{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+rocm6.1", "_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": 1082015.256576, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 8, "gpu_vram_mb": 549621596160, "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": "0.30.2", "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": 1377.243136, "max_global_vram": 11.190272, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.93311083984375, "mean": 7.93311083984375, "stdev": 0.0, "p50": 7.93311083984375, "p90": 7.93311083984375, "p95": 7.93311083984375, "p99": 7.93311083984375, "values": [ 7.93311083984375 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1540.968448, "max_global_vram": 11.370496, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 61, "total": 0.8997520017623901, "mean": 0.014750032815776885, "stdev": 0.000759895973694819, "p50": 0.014619155883789063, "p90": 0.015753552436828612, "p95": 0.01580123233795166, "p99": 0.01644612693786621, "values": [ 0.014202197074890137, 0.01398123836517334, 0.01395291805267334, 0.013862677574157715, 0.014006197929382324, 0.014595476150512696, 0.0156306734085083, 0.01731338882446289, 0.015562032699584961, 0.015603153228759766, 0.015599312782287598, 0.015736111640930174, 0.01586795234680176, 0.01565995216369629, 0.01572843265533447, 0.01561675262451172, 0.015719472885131838, 0.0157617130279541, 0.01580123233795166, 0.015753552436828612, 0.014740434646606446, 0.01450139617919922, 0.01425947666168213, 0.014280917167663575, 0.014841074943542481, 0.014239477157592774, 0.01413467788696289, 0.013880437850952148, 0.01393819808959961, 0.014004117965698242, 0.013973397254943848, 0.01393659782409668, 0.013968117713928222, 0.014006357192993164, 0.014016278266906738, 0.01396187686920166, 0.013951638221740722, 0.01393915843963623, 0.013926518440246583, 0.014010518074035645, 0.013978358268737792, 0.01415723705291748, 0.014986674308776855, 0.014442835807800293, 0.01431611728668213, 0.014453235626220704, 0.014338836669921876, 0.014806674957275391, 0.014741715431213378, 0.014691314697265624, 0.014801715850830078, 0.01496555519104004, 0.014619155883789063, 0.015084593772888184, 0.015761712074279784, 0.015240754127502441, 0.015437232971191405, 0.015867152214050294, 0.014743794441223144, 0.015024114608764648, 0.014828115463256837 ] }, "throughput": { "unit": "samples/s", "value": 67.79645933603504 }, "energy": null, "efficiency": null } } }