IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
8edd8c7 verified
raw
history blame
12.7 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": "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": {},
"hub_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,
"latency": true,
"memory": 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": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 870.66624,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 591.396864,
"max_allocated": 449.269248
},
"latency": {
"unit": "s",
"count": 184,
"total": 1.0039214739799502,
"mean": 0.0054560949672823374,
"stdev": 0.0001244251213343741,
"p50": 0.005421055793762207,
"p90": 0.005604659271240235,
"p95": 0.005658111929893493,
"p99": 0.00593610765457153,
"values": [
0.006344704151153564,
0.0056217598915100095,
0.005698560237884521,
0.005640192031860352,
0.005723135948181152,
0.005610496044158936,
0.005659647941589355,
0.00561356782913208,
0.005745664119720459,
0.005641215801239013,
0.006100992202758789,
0.005477375984191894,
0.005227519989013672,
0.0052367358207702636,
0.0053012480735778805,
0.00535859203338623,
0.005214208126068115,
0.005283840179443359,
0.005525504112243652,
0.005413887977600097,
0.0054271998405456545,
0.005406720161437988,
0.005430272102355957,
0.005413887977600097,
0.005430272102355957,
0.00541593599319458,
0.005409791946411133,
0.005385216236114502,
0.005420032024383545,
0.005401599884033203,
0.005409791946411133,
0.005463039875030518,
0.005420032024383545,
0.005384191989898681,
0.005567488193511963,
0.005429247856140137,
0.005435391902923584,
0.005395455837249756,
0.005377024173736572,
0.005438464164733887,
0.005504000186920166,
0.005375999927520752,
0.0055101442337036136,
0.005422080039978027,
0.005438464164733887,
0.005439487934112549,
0.005561344146728516,
0.005395455837249756,
0.005405695915222168,
0.0052111358642578124,
0.0054906878471374515,
0.005409791946411133,
0.005396480083465576,
0.005409791946411133,
0.005409791946411133,
0.005403647899627686,
0.005430272102355957,
0.005406720161437988,
0.0053975038528442385,
0.0054282240867614745,
0.005439487934112549,
0.005403647899627686,
0.005412864208221436,
0.005386240005493164,
0.005404672145843506,
0.005534719944000244,
0.0055797758102417,
0.005406720161437988,
0.005435391902923584,
0.005409791946411133,
0.005436416149139404,
0.005437439918518067,
0.0053944320678710935,
0.005406720161437988,
0.00542310380935669,
0.005412864208221436,
0.005462016105651855,
0.005420032024383545,
0.005462016105651855,
0.005432320117950439,
0.0054282240867614745,
0.005446656227111817,
0.005408768177032471,
0.005379072189331055,
0.005446656227111817,
0.005582848072052002,
0.005436416149139404,
0.00561356782913208,
0.005425151824951172,
0.005420032024383545,
0.005408768177032471,
0.0053944320678710935,
0.005431295871734619,
0.005410816192626953,
0.005375999927520752,
0.005411839962005615,
0.005410816192626953,
0.005414912223815918,
0.005405695915222168,
0.005412864208221436,
0.005392384052276611,
0.0054241280555725096,
0.00542310380935669,
0.005400576114654541,
0.0059023361206054685,
0.00567193603515625,
0.0054876160621643065,
0.005485568046569824,
0.005432320117950439,
0.005488639831542969,
0.005459968090057373,
0.0054579200744628905,
0.005502975940704345,
0.005421055793762207,
0.005442560195922852,
0.00541593599319458,
0.005387263774871826,
0.005455872058868408,
0.005433343887329102,
0.005405695915222168,
0.00555622386932373,
0.005389311790466309,
0.00541593599319458,
0.005435391902923584,
0.0053821439743042,
0.005384191989898681,
0.00537497615814209,
0.005377024173736572,
0.005413887977600097,
0.005402624130249023,
0.005391359806060791,
0.005400576114654541,
0.0057118721008300784,
0.0054271998405456545,
0.005391359806060791,
0.005633024215698243,
0.005445631980895996,
0.005387263774871826,
0.005591040134429932,
0.005420032024383545,
0.005431295871734619,
0.0053975038528442385,
0.005649407863616943,
0.005438464164733887,
0.005408768177032471,
0.005375999927520752,
0.005384191989898681,
0.005421055793762207,
0.005417984008789062,
0.005387263774871826,
0.005407743930816651,
0.0054098558425903324,
0.005406720161437988,
0.0054917120933532714,
0.005588992118835449,
0.005560319900512695,
0.005436416149139404,
0.00538316822052002,
0.005411839962005615,
0.005419007778167725,
0.005443583965301513,
0.005438464164733887,
0.005425151824951172,
0.005412864208221436,
0.005486591815948487,
0.005422080039978027,
0.005412864208221436,
0.005425151824951172,
0.005434368133544922,
0.005396480083465576,
0.0053975038528442385,
0.005405695915222168,
0.005754879951477051,
0.005416959762573242,
0.005405695915222168,
0.005518335819244385,
0.005470208168029785,
0.005573631763458252,
0.0054241280555725096,
0.005618688106536865,
0.005435391902923584,
0.005391359806060791,
0.005414912223815918,
0.005434368133544922
]
},
"throughput": {
"unit": "samples/s",
"value": 183.28126727935174
},
"energy": {
"unit": "kWh",
"cpu": 6.517995790247517e-08,
"ram": 3.563592606603732e-08,
"gpu": 1.3151262047252839e-07,
"total": 2.3232850444104086e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4304250.149614228
}
}
}
}