IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
27d8d3f verified
raw
history blame
13.9 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu121",
"_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": 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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"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": 759.218176,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4401884765625,
"mean": 7.4401884765625,
"stdev": 0.0,
"p50": 7.4401884765625,
"p90": 7.4401884765625,
"p95": 7.4401884765625,
"p99": 7.4401884765625,
"values": [
7.4401884765625
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.285896659729392e-07,
"ram": 4.935117864138421e-07,
"gpu": 1.69305690999981e-06,
"total": 3.1151583623865915e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 926.33088,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 188,
"total": 1.00118236875534,
"mean": 0.005325438131677343,
"stdev": 0.00024582029842923,
"p50": 0.005344768047332764,
"p90": 0.005644390392303467,
"p95": 0.005745561718940735,
"p99": 0.005899816999435424,
"values": [
0.005810175895690918,
0.005952511787414551,
0.00577023983001709,
0.0057415680885314945,
0.005718016147613526,
0.005736447811126709,
0.005642240047454834,
0.005627903938293457,
0.005676032066345215,
0.0055808000564575196,
0.005598207950592041,
0.005568511962890625,
0.005577727794647217,
0.005577727794647217,
0.005617663860321045,
0.005601280212402344,
0.0055244798660278325,
0.005410816192626953,
0.005417984008789062,
0.005453824043273926,
0.005362688064575195,
0.005318655967712403,
0.00537497615814209,
0.0053944320678710935,
0.005404672145843506,
0.005368832111358642,
0.00537395191192627,
0.005776383876800537,
0.005557248115539551,
0.005517312049865723,
0.0055808000564575196,
0.005401599884033203,
0.005462016105651855,
0.0053975038528442385,
0.005425151824951172,
0.005368832111358642,
0.00537497615814209,
0.005338111877441406,
0.005398528099060058,
0.005351424217224121,
0.005395455837249756,
0.005362688064575195,
0.005391359806060791,
0.005321728229522705,
0.005185535907745361,
0.005204991817474365,
0.0052336640357971195,
0.005214208126068115,
0.0052930560111999515,
0.005302271842956543,
0.005327871799468994,
0.00537497615814209,
0.0055214080810546875,
0.005757952213287353,
0.005583871841430664,
0.005649407863616943,
0.005626880168914795,
0.005637119770050049,
0.005582848072052002,
0.005533696174621582,
0.005716991901397705,
0.005494783878326416,
0.005544960021972656,
0.0055797758102417,
0.005605375766754151,
0.005587967872619629,
0.0055623679161071774,
0.00541593599319458,
0.005386240005493164,
0.005314559936523438,
0.005243904113769531,
0.005386303901672363,
0.0057825279235839844,
0.005659647941589355,
0.0055101442337036136,
0.0056341438293457035,
0.00557260799407959,
0.005434368133544922,
0.005660672187805176,
0.005649407863616943,
0.005568511962890625,
0.005547008037567139,
0.005484543800354004,
0.005516287803649903,
0.005477375984191894,
0.005495808124542236,
0.005951488018035888,
0.005563392162322998,
0.005476352214813233,
0.00535859203338623,
0.005385216236114502,
0.005389311790466309,
0.005777408123016357,
0.005312511920928955,
0.005362688064575195,
0.005318655967712403,
0.00536575984954834,
0.005213183879852295,
0.0052674560546875,
0.005403647899627686,
0.005273600101470947,
0.005215231895446777,
0.005241856098175048,
0.005167103767395019,
0.005047296047210693,
0.005127168178558349,
0.005258240222930908,
0.005195775985717774,
0.004986879825592041,
0.004981760025024414,
0.005023744106292725,
0.0049725441932678225,
0.005001215934753418,
0.005040128231048584,
0.005123072147369385,
0.005403647899627686,
0.005398528099060058,
0.005463039875030518,
0.005441535949707031,
0.005532671928405761,
0.005747712135314941,
0.005420032024383545,
0.0054271998405456545,
0.005329919815063477,
0.00526643180847168,
0.005892096042633056,
0.005404672145843506,
0.005198847770690918,
0.005165056228637695,
0.005126143932342529,
0.005137407779693603,
0.005112832069396973,
0.005154816150665284,
0.005071872234344482,
0.005132287979125977,
0.005091328144073487,
0.0050503678321838375,
0.004965375900268554,
0.005116928100585938,
0.005129216194152832,
0.005108736038208008,
0.005123072147369385,
0.0050800638198852536,
0.005090303897857666,
0.005089280128479004,
0.005102591991424561,
0.0051066880226135255,
0.00501964807510376,
0.005094399929046631,
0.005078015804290771,
0.005131264209747314,
0.005058559894561767,
0.005054463863372802,
0.00496230411529541,
0.005094399929046631,
0.005051392078399658,
0.005105663776397705,
0.005096447944641113,
0.005092351913452148,
0.005101568222045898,
0.005156864166259765,
0.005087232112884522,
0.0049530878067016604,
0.004976640224456787,
0.004973567962646484,
0.005000192165374756,
0.004973567962646484,
0.004943871974945068,
0.005031936168670655,
0.004976640224456787,
0.00499507188796997,
0.004969471931457519,
0.00505241584777832,
0.00499507188796997,
0.004996096134185791,
0.004944896221160889,
0.004984831809997559,
0.004987904071807861,
0.004976640224456787,
0.005174272060394287,
0.005119999885559082,
0.005153791904449463,
0.0050954241752624516,
0.005116928100585938,
0.005134335994720459,
0.005096447944641113,
0.0051036162376403805,
0.0051036162376403805
]
},
"throughput": {
"unit": "samples/s",
"value": 187.77797718683325
},
"energy": {
"unit": "kWh",
"cpu": 5.887815130294345e-08,
"ram": 3.2133020043868386e-08,
"gpu": 1.2198717129702995e-07,
"total": 2.129983426438418e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4694872.211621464
}
}
}
}