{ "config": { "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "fill-mask", "library": "transformers", "model_type": "bert", "model": "google-bert/bert-base-uncased", "processor": "google-bert/bert-base-uncased", "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 7643 48-Core Processor", "cpu_count": 96, "cpu_ram_mb": 1082028.982272, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2", "transformers_version": "4.43.3", "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": "1.0.8", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 899.91168, "max_global_vram": 875.327488, "max_process_vram": 42988.773376, "max_reserved": 589.299712, "max_allocated": 533.571072 }, "latency": { "unit": "s", "count": 1, "total": 6.8747392578125, "mean": 6.8747392578125, "stdev": 0.0, "p50": 6.8747392578125, "p90": 6.8747392578125, "p95": 6.8747392578125, "p99": 6.8747392578125, "values": [ 6.8747392578125 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1019.252736, "max_global_vram": 938.86464, "max_process_vram": 227081.531392, "max_reserved": 589.299712, "max_allocated": 439.456768 }, "latency": { "unit": "s", "count": 148, "total": 1.0011164836883546, "mean": 0.006764300565461855, "stdev": 0.0006822137196304439, "p50": 0.006694265604019165, "p90": 0.00675119366645813, "p95": 0.006861474108695985, "p99": 0.007583464288711548, "values": [ 0.00674082612991333, 0.006682745933532715, 0.006762586116790772, 0.006910265922546387, 0.006883706092834473, 0.007824029922485352, 0.006906426906585693, 0.0067963461875915525, 0.0069923467636108395, 0.0068104262351989745, 0.006736666202545166, 0.0068201861381530764, 0.006693305969238281, 0.006659865856170654, 0.006510105133056641, 0.006503385066986084, 0.006532344818115234, 0.006527064800262451, 0.0065211448669433595, 0.014898297309875488, 0.007312188148498535, 0.006689785957336426, 0.006719545841217041, 0.006683225154876709, 0.006665465831756592, 0.006686106204986573, 0.0066925048828125, 0.006692026138305664, 0.006670745849609375, 0.006738105773925781, 0.006730585098266601, 0.006731066226959228, 0.006677945137023925, 0.006678425788879395, 0.006697946071624756, 0.006711225986480713, 0.006691064834594727, 0.006675065994262696, 0.006676506042480468, 0.006681145191192627, 0.006660665988922119, 0.006689946174621582, 0.0066918649673461915, 0.006707225799560547, 0.006642426013946533, 0.006693465232849121, 0.006665306091308594, 0.00667698621749878, 0.006650744915008545, 0.006687066078186035, 0.006668025016784668, 0.006687545776367187, 0.006702266216278076, 0.0067014660835266115, 0.00671154499053955, 0.00670978593826294, 0.006702906131744385, 0.006698746204376221, 0.006689785003662109, 0.006724666118621827, 0.006690906047821045, 0.006707705974578857, 0.006701304912567139, 0.006680985927581787, 0.006638425827026367, 0.006713944911956787, 0.006696506023406983, 0.00672226619720459, 0.006693786144256592, 0.006709465026855469, 0.006715705871582031, 0.006750905990600586, 0.0066971459388732914, 0.006729306221008301, 0.006732185840606689, 0.006723384857177734, 0.006712185859680176, 0.00668194580078125, 0.006688506126403809, 0.006690744876861572, 0.006648345947265625, 0.006728665828704834, 0.0066870651245117185, 0.006706106185913086, 0.006660985946655274, 0.006711065769195557, 0.0066393852233886715, 0.006667066097259522, 0.006688185214996338, 0.0066878662109375, 0.006682906150817871, 0.006699544906616211, 0.006661624908447266, 0.006697306156158447, 0.006686106204986573, 0.006700825214385986, 0.006673625946044922, 0.006720826148986816, 0.006661465167999267, 0.006703064918518066, 0.006686746120452881, 0.006708345890045166, 0.006655545234680176, 0.006735226154327392, 0.0066921858787536625, 0.006691545963287354, 0.006708984851837158, 0.0067137861251831054, 0.0067021059989929195, 0.006704825878143311, 0.006663865089416504, 0.006734745979309082, 0.006920667171478272, 0.006722105979919434, 0.006751864910125732, 0.006763225078582764, 0.006689305782318115, 0.006686106204986573, 0.006690266132354736, 0.006685625076293946, 0.006710745811462402, 0.0067589058876037595, 0.006696506023406983, 0.006712185859680176, 0.006680665016174317, 0.006686746120452881, 0.006696345806121826, 0.006743226051330566, 0.006659224987030029, 0.006670745849609375, 0.006664344787597656, 0.0066947460174560545, 0.0066568260192871095, 0.006694745063781738, 0.006695866107940674, 0.006701945781707764, 0.006687225818634034, 0.006687385082244873, 0.006671065807342529, 0.006702586174011231, 0.006701464176177978, 0.006719706058502198, 0.006707705974578857, 0.006717465877532959, 0.006668664932250976, 0.0066800260543823245, 0.006571064949035645, 0.006406744956970215 ] }, "throughput": { "unit": "samples/s", "value": 147.83494469567847 }, "energy": null, "efficiency": null } } }