{ "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": 707.493888, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.10634619140625, "mean": 7.10634619140625, "stdev": 0.0, "p50": 7.10634619140625, "p90": 7.10634619140625, "p95": 7.10634619140625, "p99": 7.10634619140625, "values": [ 7.10634619140625 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.0525969995392694e-06, "ram": 5.609896207900533e-07, "gpu": 1.8622237120003576e-06, "total": 3.47581033232968e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 989.835264, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 74, "total": 1.0024911317825318, "mean": 0.0135471774565207, "stdev": 0.0004430456998194158, "p50": 0.013485535621643067, "p90": 0.013869260787963867, "p95": 0.014207743597030639, "p99": 0.015328757534027099, "values": [ 0.015618047714233398, 0.015221759796142579, 0.014839808464050292, 0.01388646411895752, 0.013811712265014648, 0.013296735763549805, 0.013290528297424317, 0.013392895698547362, 0.013578240394592284, 0.013369343757629394, 0.01343283176422119, 0.013511679649353027, 0.01347379207611084, 0.013395968437194825, 0.013410304069519043, 0.013399040222167969, 0.013305855751037597, 0.013328384399414063, 0.013356032371520997, 0.013327360153198242, 0.013634559631347656, 0.013587455749511718, 0.01339395236968994, 0.01338368034362793, 0.013488127708435058, 0.01338265609741211, 0.013247488021850586, 0.013334527969360351, 0.013524991989135742, 0.013298687934875488, 0.013288543701171876, 0.013365247726440429, 0.013466624259948731, 0.013828096389770507, 0.013721599578857421, 0.013417471885681152, 0.013332448005676269, 0.013412351608276368, 0.013270015716552735, 0.013201408386230469, 0.013225919723510742, 0.01295257568359375, 0.013592639923095702, 0.014002176284790039, 0.014134271621704102, 0.014114815711975098, 0.013829119682312012, 0.013737983703613281, 0.013788127899169922, 0.01355571174621582, 0.013771776199340821, 0.014344191551208496, 0.013717503547668456, 0.013515775680541992, 0.013504511833190918, 0.013536288261413574, 0.013519871711730956, 0.013537343978881835, 0.013464511871337891, 0.013494336128234863, 0.013523967742919921, 0.013492287635803223, 0.013540351867675781, 0.013482943534851074, 0.013530079841613769, 0.013528063774108886, 0.013518848419189454, 0.013530112266540528, 0.013438976287841797, 0.013420543670654296, 0.012807168006896973, 0.012892160415649414, 0.012825599670410156, 0.012793855667114258 ] }, "throughput": { "unit": "samples/s", "value": 73.81611433152574 }, "energy": { "unit": "kWh", "cpu": 1.5650123183490243e-07, "ram": 8.556844389688385e-08, "gpu": 3.4907557165789523e-07, "total": 5.911452473896815e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1691631.63269213 } } } }