IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
1ce20cd verified
raw
history blame
12.3 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.1+rocm6.1",
"_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": "4",
"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": "0.34.0",
"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": 1385.283584,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.76274365234375,
"mean": 7.76274365234375,
"stdev": 0.0,
"p50": 7.76274365234375,
"p90": 7.76274365234375,
"p95": 7.76274365234375,
"p99": 7.76274365234375,
"values": [
7.76274365234375
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1485.139968,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 152,
"total": 1.0021375026702881,
"mean": 0.006593009885988738,
"stdev": 0.0005687160086952943,
"p50": 0.006434479951858521,
"p90": 0.006927422904968263,
"p95": 0.007224246788024902,
"p99": 0.008321723747253436,
"values": [
0.00709503984451294,
0.006803839206695556,
0.006972319126129151,
0.007162559986114502,
0.006959518909454346,
0.0069369587898254394,
0.006841599941253662,
0.006809759140014649,
0.006712799072265625,
0.007051199913024902,
0.006734718799591064,
0.006653278827667236,
0.0066143999099731446,
0.006559838771820068,
0.006538878917694091,
0.0064627199172973635,
0.006388638973236084,
0.006507840156555176,
0.006458239078521728,
0.006445279121398926,
0.006423840045928955,
0.006474079132080078,
0.0064385590553283694,
0.0064481601715087895,
0.006468638896942138,
0.0064271998405456545,
0.0064385590553283694,
0.006493439197540283,
0.006466720104217529,
0.0064782390594482426,
0.009351678848266601,
0.006574559211730957,
0.006388160228729248,
0.00641119909286499,
0.006433440208435059,
0.006404318809509277,
0.006444959163665771,
0.006383840084075928,
0.00638831901550293,
0.006380319118499756,
0.0063772802352905274,
0.0064225587844848634,
0.006387199878692627,
0.006425599098205567,
0.006397599220275879,
0.006399360179901123,
0.0065945591926574705,
0.006456958770751953,
0.006414239883422852,
0.006412478923797607,
0.006402560234069824,
0.006410879135131836,
0.006435839176177979,
0.006398719787597656,
0.0064220790863037105,
0.0064575991630554195,
0.006404640197753907,
0.006407838821411133,
0.006415520191192627,
0.0064147191047668455,
0.006438718795776367,
0.0064107198715209965,
0.0064147191047668455,
0.00643087911605835,
0.006420639991760254,
0.006421278953552246,
0.006387839794158936,
0.0064263992309570315,
0.006411999225616455,
0.006405280113220215,
0.0064084792137146,
0.0063963189125061035,
0.006408959865570068,
0.006398879051208496,
0.006379519939422608,
0.006426239013671875,
0.006384318828582764,
0.006570879936218262,
0.006433279037475586,
0.006408638954162597,
0.006403520107269287,
0.0063963189125061035,
0.006408959865570068,
0.006451679229736328,
0.00643087911605835,
0.0064340801239013675,
0.006456318855285644,
0.006400319099426269,
0.006436319828033448,
0.0064214391708374025,
0.006393919944763184,
0.006424798965454102,
0.006447039127349854,
0.006438240051269532,
0.0064006390571594235,
0.006402238845825196,
0.006397439956665039,
0.006405919075012207,
0.006402239799499511,
0.006384638786315918,
0.00638719892501831,
0.006380799770355224,
0.006377758979797363,
0.0063980789184570315,
0.00640496015548706,
0.006426558971405029,
0.006409759998321533,
0.006430239200592041,
0.006408638954162597,
0.006397280216217041,
0.00641935920715332,
0.006395840167999268,
0.006402079105377197,
0.006640958786010742,
0.006635359764099121,
0.006696478843688965,
0.006636959075927734,
0.006632639884948731,
0.006747199058532715,
0.0066329588890075685,
0.0066761598587036135,
0.00644127893447876,
0.006404638767242432,
0.00643552017211914,
0.00647615909576416,
0.006462399959564209,
0.006502079010009766,
0.006464478969573975,
0.006442399978637695,
0.006458718776702881,
0.012343358993530274,
0.006425279140472412,
0.006434879779815674,
0.006488479137420654,
0.006435678958892822,
0.006465439796447754,
0.0064643192291259765,
0.006418078899383545,
0.00643071985244751,
0.0073321590423583985,
0.007218558788299561,
0.0072726402282714845,
0.007288319110870361,
0.007231198787689209,
0.007290719985961914,
0.007278718948364258,
0.007153278827667237,
0.00679311990737915,
0.006748638153076172,
0.006734239101409912,
0.006816959857940673,
0.0068409590721130375
]
},
"throughput": {
"unit": "samples/s",
"value": 151.67579258832438
},
"energy": null,
"efficiency": null
}
}
}