IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
1e2802e verified
raw
history blame
12.3 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "5",
"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": "warn",
"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": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1069.846528,
"max_global_vram": 68702.69952,
"max_process_vram": 42791.665664,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.5705107421875,
"mean": 8.5705107421875,
"stdev": 0.0,
"p50": 8.5705107421875,
"p90": 8.5705107421875,
"p95": 8.5705107421875,
"p99": 8.5705107421875,
"values": [
8.5705107421875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1199.529984,
"max_global_vram": 68702.69952,
"max_process_vram": 235948.38016,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 152,
"total": 1.0045759148597717,
"mean": 0.006609052071445868,
"stdev": 0.0002996730294093325,
"p50": 0.0064823739528656,
"p90": 0.007037204122543335,
"p95": 0.007267571878433227,
"p99": 0.007852701678276062,
"values": [
0.007188611984252929,
0.006879172801971436,
0.00672477388381958,
0.006747813224792481,
0.006683013916015625,
0.007223651885986328,
0.007222531795501709,
0.006929092884063721,
0.007841568946838379,
0.006857892990112305,
0.007972289085388183,
0.007086212158203125,
0.006528295040130615,
0.006480134010314941,
0.006471654891967773,
0.006488454818725586,
0.006454695224761963,
0.00646605396270752,
0.006503815174102783,
0.006489095211029053,
0.006496453762054443,
0.006473575115203857,
0.006484135150909424,
0.006510054111480713,
0.00647565507888794,
0.006473575115203857,
0.006460614204406738,
0.006475015163421631,
0.006459014892578125,
0.006469415187835693,
0.006528133869171142,
0.006520773887634277,
0.006472455024719238,
0.006508454799652099,
0.006482853889465332,
0.006478535175323486,
0.006505734920501709,
0.006473574161529541,
0.0064894151687622074,
0.006472455024719238,
0.006449573993682861,
0.006462214946746826,
0.006465415000915528,
0.006457574844360351,
0.006471653938293457,
0.006446855068206787,
0.006483015060424805,
0.006485895156860351,
0.006481093883514404,
0.006478215217590332,
0.006467494964599609,
0.006508614063262939,
0.006509254932403565,
0.006478535175323486,
0.006475334167480469,
0.006470855236053467,
0.006483335018157959,
0.006481894016265869,
0.006466535091400147,
0.006462854862213135,
0.006485253810882568,
0.0064777350425720215,
0.006479654788970947,
0.006470695018768311,
0.006489093780517578,
0.006498215198516846,
0.006474215030670166,
0.0064962940216064455,
0.00648653507232666,
0.006555173873901367,
0.006508615016937256,
0.006524774074554443,
0.006477254867553711,
0.006495975017547608,
0.006471653938293457,
0.006491014957427979,
0.0064758148193359375,
0.006471014022827149,
0.006460935115814209,
0.006474534988403321,
0.006499975204467773,
0.006481094837188721,
0.006480454921722412,
0.0064986939430236815,
0.006484614849090576,
0.006683013916015625,
0.007215012073516846,
0.006471654891967773,
0.006440614223480225,
0.006434374809265136,
0.006454854965209961,
0.0064593348503112795,
0.006467175006866455,
0.006449254035949707,
0.006519495010375976,
0.006518054008483887,
0.0064668550491333,
0.006458694934844971,
0.006485253810882568,
0.006474534988403321,
0.006473094940185547,
0.006443815231323242,
0.00646221399307251,
0.0064710149765014645,
0.007864288806915283,
0.006470534801483154,
0.006454215049743652,
0.006439974784851074,
0.006466215133666992,
0.006464933872222901,
0.006470055103302002,
0.006481414794921875,
0.0064626941680908205,
0.0064807748794555664,
0.006517254829406739,
0.0064895739555358885,
0.006508134841918946,
0.00647949504852295,
0.006486053943634033,
0.00649085521697998,
0.006440295219421387,
0.006717573165893555,
0.007340931892395019,
0.007695970058441162,
0.007351331233978272,
0.007344611167907715,
0.00732125186920166,
0.006960453033447266,
0.006901093006134033,
0.0069050931930541995,
0.00691213321685791,
0.007164452075958252,
0.006899972915649414,
0.007097571849822998,
0.006917092800140381,
0.007045732021331787,
0.006764294147491455,
0.006495015144348144,
0.006604773998260498,
0.006486693859100342,
0.006454695224761963,
0.006477894783020019,
0.006454854965209961,
0.006450214862823486,
0.0064540538787841795,
0.0064638152122497555,
0.0064898948669433595,
0.0064817328453063965,
0.006466054916381836,
0.006515015125274659,
0.006501893997192382,
0.006480454921722412
]
},
"throughput": {
"unit": "samples/s",
"value": 151.30762917127828
},
"energy": null,
"efficiency": null
}
}
}