IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
b57eb14 verified
raw
history blame
14 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": 716.132352,
"max_global_vram": 1218.9696,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.1783740234375,
"mean": 7.1783740234375,
"stdev": 0.0,
"p50": 7.1783740234375,
"p90": 7.1783740234375,
"p95": 7.1783740234375,
"p99": 7.1783740234375,
"values": [
7.1783740234375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 9.317716055560274e-07,
"ram": 4.949215110957122e-07,
"gpu": 0.0,
"total": 1.4266931166517396e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 883.064832,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 449.025024
},
"latency": {
"unit": "s",
"count": 190,
"total": 1.0023137583732609,
"mean": 0.0052753355703855824,
"stdev": 0.00024400769452972605,
"p50": 0.005298176050186157,
"p90": 0.005487820863723755,
"p95": 0.005591551899909973,
"p99": 0.006000240659713742,
"values": [
0.005804031848907471,
0.005908480167388916,
0.005761023998260498,
0.005549056053161621,
0.005489664077758789,
0.005537792205810547,
0.0054579200744628905,
0.005527552127838135,
0.005451776027679443,
0.005385216236114502,
0.0054876160621643065,
0.005362688064575195,
0.005356544017791748,
0.005484543800354004,
0.005403647899627686,
0.005336063861846924,
0.005983232021331787,
0.005433343887329102,
0.005527552127838135,
0.005486591815948487,
0.0055244798660278325,
0.005585919857025146,
0.0054282240867614745,
0.005482495784759522,
0.005463039875030518,
0.005355519771575928,
0.005344255924224854,
0.0053012480735778805,
0.0053975038528442385,
0.005477375984191894,
0.005401599884033203,
0.005379072189331055,
0.00553984022140503,
0.005390336036682129,
0.005389311790466309,
0.005405695915222168,
0.005369855880737305,
0.005350399971008301,
0.005430272102355957,
0.005391359806060791,
0.005350399971008301,
0.005341184139251709,
0.005252096176147461,
0.005284863948822022,
0.005448703765869141,
0.006137856006622314,
0.005475327968597412,
0.005480447769165039,
0.005451776027679443,
0.00556441593170166,
0.005470208168029785,
0.005476352214813233,
0.005420032024383545,
0.00538316822052002,
0.005442560195922852,
0.005401599884033203,
0.00537497615814209,
0.005401599884033203,
0.005268479824066162,
0.0052633600234985355,
0.005419007778167725,
0.005377024173736572,
0.0053309440612792965,
0.005726208209991455,
0.0053944320678710935,
0.005346303939819336,
0.005380095958709717,
0.005249023914337158,
0.005338111877441406,
0.005454847812652588,
0.005327871799468994,
0.005455872058868408,
0.005351424217224121,
0.005259263992309571,
0.0053043198585510255,
0.005326848030090332,
0.005327871799468994,
0.005286911964416504,
0.005323775768280029,
0.005315584182739258,
0.0053606400489807126,
0.0053975038528442385,
0.0054282240867614745,
0.005469183921813964,
0.005411839962005615,
0.005385216236114502,
0.005463039875030518,
0.005420032024383545,
0.005328896045684814,
0.0053821439743042,
0.005369855880737305,
0.0053309440612792965,
0.005276671886444092,
0.005340159893035889,
0.005425151824951172,
0.0052715520858764645,
0.00522649621963501,
0.005148672103881836,
0.005116928100585938,
0.00515993595123291,
0.005295104026794434,
0.005186560153961181,
0.005061632156372071,
0.0050124797821044925,
0.004983808040618896,
0.005001215934753418,
0.0051998720169067385,
0.005239808082580567,
0.005238783836364746,
0.005326848030090332,
0.005796864032745362,
0.005596159934997558,
0.005724160194396972,
0.00547430419921875,
0.0053637118339538575,
0.00515174388885498,
0.005100543975830078,
0.005149695873260498,
0.005121024131774903,
0.005119008064270019,
0.005107711791992187,
0.00515993595123291,
0.005158912181854248,
0.005100543975830078,
0.005141503810882568,
0.0051404800415039064,
0.005139455795288086,
0.0051363840103149415,
0.005172224044799805,
0.0051138558387756345,
0.005125120162963868,
0.0051773438453674315,
0.005137407779693603,
0.0051036162376403805,
0.004988927841186524,
0.005008384227752686,
0.004980735778808594,
0.004999167919158935,
0.004971519947052002,
0.00499507188796997,
0.004992000102996826,
0.004969471931457519,
0.005078015804290771,
0.005008384227752686,
0.004955135822296143,
0.005035007953643799,
0.0049489917755126955,
0.004994048118591309,
0.0053975038528442385,
0.005061632156372071,
0.0050135040283203125,
0.0050954241752624516,
0.005085184097290039,
0.004971519947052002,
0.006687744140625,
0.005193727970123291,
0.005169151782989502,
0.00511078405380249,
0.005224448204040527,
0.005146624088287354,
0.0051773438453674315,
0.005138432025909424,
0.005121024131774903,
0.005185535907745361,
0.005038080215454102,
0.005026815891265869,
0.0050206718444824215,
0.005056511878967285,
0.004983808040618896,
0.0049797120094299315,
0.004955135822296143,
0.004985856056213379,
0.004987904071807861,
0.004975615978240967,
0.004967423915863037,
0.0050954241752624516,
0.004971519947052002,
0.004974592208862305,
0.0049827837944030765,
0.004976640224456787,
0.004964352130889893,
0.00497049617767334,
0.0049725441932678225,
0.0049827837944030765,
0.004969471931457519,
0.004964352130889893,
0.004957183837890625,
0.004984831809997559,
0.004986879825592041,
0.0049797120094299315
]
},
"throughput": {
"unit": "samples/s",
"value": 189.56140072183283
},
"energy": {
"unit": "kWh",
"cpu": 5.8595382033388046e-08,
"ram": 3.2033238112323507e-08,
"gpu": 1.250343091133007e-07,
"total": 2.1566292925901222e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4636865.5171097815
}
}
}
}