IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
42df5cd verified
raw
history blame
13 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.5.1+cu124",
"_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": 2,
"sequence_length": 16,
"num_choices": 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": 66697.248768,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.228-219.884.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": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"accelerate_commit": null,
"diffusers_version": "0.31.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.11",
"timm_commit": null,
"peft_version": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load_model": {
"memory": {
"unit": "MB",
"max_ram": 817.672192,
"max_global_vram": 1226.309632,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"values": [
0.08064307403564454
],
"count": 1,
"total": 0.08064307403564454,
"mean": 0.08064307403564454,
"p50": 0.08064307403564454,
"p90": 0.08064307403564454,
"p95": 0.08064307403564454,
"p99": 0.08064307403564454,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 0.00010562661002361098,
"ram": 5.787265786628921e-05,
"gpu": 0.0001392951114360004,
"total": 0.0003027943793259006
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1064.497152,
"max_global_vram": 1238.892544,
"max_process_vram": 0.0,
"max_reserved": 591.396864,
"max_allocated": 452.872192
},
"latency": {
"unit": "s",
"values": [
0.006713344097137451,
0.006461440086364746,
0.006351871967315674,
0.006418432235717773,
0.006418432235717773,
0.00643993616104126,
0.006449151992797852,
0.006174719810485839,
0.006158336162567139,
0.006140927791595459,
0.00618393611907959,
0.006128640174865723,
0.006147071838378906,
0.006115392208099365,
0.006198272228240966,
0.006177792072296143,
0.0062576642036437985,
0.006211584091186524,
0.006246399879455566,
0.006300672054290772,
0.006338560104370118,
0.006351871967315674,
0.006366208076477051,
0.006810624122619629,
0.006137856006622314,
0.006130688190460205,
0.0061562881469726565,
0.006112256050109863,
0.006150144100189209,
0.0061521921157836916,
0.0062576642036437985,
0.006242303848266601,
0.006251520156860352,
0.006243328094482422,
0.006210559844970703,
0.006209536075592041,
0.006323200225830078,
0.006456319808959961,
0.006372352123260498,
0.006448128223419189,
0.006494207859039307,
0.00637440013885498,
0.006405119895935059,
0.006509568214416504,
0.0064143362045288085,
0.006328320026397705,
0.006501376152038574,
0.006415359973907471,
0.006461440086364746,
0.006268928050994873,
0.006369279861450195,
0.006372352123260498,
0.006452223777770996,
0.006376448154449463,
0.006276095867156982,
0.006358016014099121,
0.006323200225830078,
0.006395904064178467,
0.006370304107666015,
0.00637337589263916,
0.007425024032592774,
0.00648089599609375,
0.006363135814666748,
0.0063805441856384275,
0.0063836159706115725,
0.006495232105255127,
0.007076863765716553,
0.006426623821258545,
0.006460415840148926,
0.006465536117553711,
0.006363135814666748,
0.006421504020690918,
0.0064102401733398436,
0.0063539199829101565,
0.006315008163452148,
0.0062638077735900875,
0.006385663986206055,
0.006396927833557129,
0.006325247764587402,
0.00623308801651001,
0.005910528182983398,
0.005941247940063477,
0.006071296215057373,
0.005972991943359375,
0.005833727836608887,
0.006034431934356689,
0.006102015972137451,
0.006217728137969971,
0.006144000053405762,
0.006203392028808594,
0.006244351863861084,
0.006187007904052734,
0.00623308801651001,
0.006789120197296142,
0.006900735855102539,
0.007264256000518799,
0.007097343921661377,
0.006819839954376221,
0.006130688190460205,
0.006142975807189942,
0.006153215885162353,
0.0060661759376525876,
0.006144000053405762,
0.006091775894165039,
0.006071296215057373,
0.0060026879310607914,
0.00608460807800293,
0.00613478422164917,
0.00607539176940918,
0.0060026879310607914,
0.006102015972137451,
0.005997568130493164,
0.0060364799499511715,
0.006008831977844238,
0.006187007904052734,
0.006039552211761475,
0.006187007904052734,
0.006007808208465576,
0.006055935859680176,
0.006007808208465576,
0.006022143840789795,
0.006000639915466309,
0.006047743797302246,
0.005954559803009033,
0.005992447853088379,
0.005954559803009033,
0.006354944229125976,
0.006067200183868408,
0.006012928009033203,
0.006012928009033203,
0.0059985918998718265,
0.0060067839622497555,
0.006003712177276611,
0.005991424083709717,
0.006023168087005615,
0.005985280036926269,
0.005986303806304932,
0.005990399837493897,
0.006014976024627685,
0.0060405759811401364,
0.006044672012329101,
0.006039552211761475,
0.006005760192871094,
0.0060631041526794435,
0.006022143840789795,
0.006034431934356689,
0.0059699201583862304,
0.00601087999343872,
0.005964799880981446,
0.0060590081214904785,
0.006000639915466309,
0.00601087999343872,
0.005974016189575195,
0.006103040218353272,
0.005981184005737304,
0.006021120071411133,
0.005988351821899414,
0.005992447853088379,
0.005972991943359375,
0.006049791812896729,
0.0060364799499511715
],
"count": 161,
"total": 1.003186242580414,
"mean": 0.0062309704508100245,
"p50": 0.006177792072296143,
"p90": 0.006461440086364746,
"p95": 0.006713344097137451,
"p99": 0.007164108753204347,
"stdev": 0.00025349925680223656,
"stdev_": 4.068375204207263
},
"throughput": {
"unit": "samples/s",
"value": 320.97728849604806
},
"energy": {
"unit": "kWh",
"cpu": 7.196005240740864e-08,
"ram": 3.927511575622739e-08,
"gpu": 1.762038446666654e-07,
"total": 2.874390128303014e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 6957997.7342211455
}
}
}
}