
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
f9a8437
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cu121", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "fill-mask", | |
"model": "google-bert/bert-base-uncased", | |
"library": "transformers", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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", | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7R32", | |
"cpu_count": 16, | |
"cpu_ram_mb": 66697.289728, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.10.215-203.850.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": "0.2.0", | |
"optimum_benchmark_commit": null, | |
"transformers_version": "4.40.2", | |
"transformers_commit": null, | |
"accelerate_version": "0.30.1", | |
"accelerate_commit": null, | |
"diffusers_version": "0.27.2", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 879.824896, | |
"max_global_vram": 1229.45536, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 147, | |
"total": 1.0003845758438115, | |
"mean": 0.00680533725063817, | |
"stdev": 0.00020760545178324406, | |
"p50": 0.006856704235076904, | |
"p90": 0.007007232093811035, | |
"p95": 0.0070872065544128416, | |
"p99": 0.007268372364044188, | |
"values": [ | |
0.007697408199310303, | |
0.007015423774719238, | |
0.007205887794494629, | |
0.007321599960327148, | |
0.007188479900360107, | |
0.007155712127685547, | |
0.007114751815795899, | |
0.007038976192474365, | |
0.0070563840866088865, | |
0.007045119762420654, | |
0.006957056045532227, | |
0.007002111911773682, | |
0.0068853759765625, | |
0.006986752033233643, | |
0.006905856132507324, | |
0.006940671920776367, | |
0.006993919849395752, | |
0.006948863983154297, | |
0.007028736114501953, | |
0.006960127830505371, | |
0.007005184173583984, | |
0.006952960014343262, | |
0.006947840213775635, | |
0.00694271993637085, | |
0.007146495819091797, | |
0.0069847040176391605, | |
0.006800384044647217, | |
0.006982656002044678, | |
0.0069928960800170895, | |
0.006946815967559815, | |
0.006936575889587402, | |
0.0069253120422363285, | |
0.00698367977142334, | |
0.00689356803894043, | |
0.006920191764831543, | |
0.006819839954376221, | |
0.006809599876403808, | |
0.006843391895294189, | |
0.007031807899475098, | |
0.006892543792724609, | |
0.0068577280044555666, | |
0.006914048194885254, | |
0.006931456089019775, | |
0.006999040126800537, | |
0.006988800048828125, | |
0.00710041618347168, | |
0.006993919849395752, | |
0.006961152076721191, | |
0.006882304191589355, | |
0.006899712085723877, | |
0.006944767951965332, | |
0.006956031799316406, | |
0.0068853759765625, | |
0.006910975933074951, | |
0.006899712085723877, | |
0.006801439762115479, | |
0.006895616054534912, | |
0.006876160144805908, | |
0.00692633581161499, | |
0.0069550080299377445, | |
0.006990848064422607, | |
0.006838272094726563, | |
0.006831103801727295, | |
0.006909952163696289, | |
0.006873087882995605, | |
0.006947840213775635, | |
0.006913023948669434, | |
0.006947840213775635, | |
0.006910975933074951, | |
0.006977536201477051, | |
0.007010303974151612, | |
0.006978559970855713, | |
0.007003136157989502, | |
0.006986752033233643, | |
0.006944767951965332, | |
0.006941696166992187, | |
0.006890495777130127, | |
0.006944767951965332, | |
0.006876160144805908, | |
0.006763519763946534, | |
0.00672051191329956, | |
0.0066078720092773435, | |
0.006706175804138184, | |
0.00676966381072998, | |
0.006657023906707763, | |
0.006603775978088379, | |
0.006592512130737305, | |
0.006841343879699707, | |
0.006696959972381592, | |
0.006746111869812011, | |
0.0067348480224609375, | |
0.006732800006866455, | |
0.006804480075836182, | |
0.006964223861694336, | |
0.006790143966674805, | |
0.006620160102844238, | |
0.006591487884521485, | |
0.0066416640281677245, | |
0.006677504062652588, | |
0.0066304001808166506, | |
0.006676511764526367, | |
0.006856704235076904, | |
0.006616064071655273, | |
0.006685696125030518, | |
0.006599679946899414, | |
0.00652185583114624, | |
0.006567935943603515, | |
0.0065413122177124024, | |
0.006604800224304199, | |
0.0065484800338745115, | |
0.006551551818847656, | |
0.006543360233306885, | |
0.00652185583114624, | |
0.006560768127441406, | |
0.006556672096252441, | |
0.0065372161865234375, | |
0.0065413122177124024, | |
0.006569983959197998, | |
0.006555647850036621, | |
0.006523903846740723, | |
0.006595583915710449, | |
0.006560768127441406, | |
0.006554624080657959, | |
0.006564864158630371, | |
0.006606847763061524, | |
0.006565887928009034, | |
0.006554624080657959, | |
0.00657203197479248, | |
0.0066078720092773435, | |
0.006543360233306885, | |
0.006718463897705078, | |
0.006542335987091064, | |
0.0065771517753601075, | |
0.0065771517753601075, | |
0.006558720111846924, | |
0.00653926420211792, | |
0.006554624080657959, | |
0.006542335987091064, | |
0.006568960189819336, | |
0.006515711784362793, | |
0.006560768127441406, | |
0.0065474557876586915, | |
0.006520832061767578, | |
0.006616064071655273, | |
0.006524928092956543, | |
0.006542335987091064, | |
0.0065710082054138185 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 146.94348908369312 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 7.445384038236075e-08, | |
"ram": 4.07039983993417e-08, | |
"gpu": 1.4116188791194962e-07, | |
"total": 2.5631972669365203e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 3901377.44331781 | |
} | |
} | |
} | |
} |