IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
ab68df5
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.2.2+rocm5.7", | |
"_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": false, | |
"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 7763 64-Core Processor", | |
"cpu_count": 128, | |
"cpu_ram_mb": 1082015.236096, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.12", | |
"gpu": [ | |
"Advanced Micro Devices, Inc. [AMD/ATI]" | |
], | |
"gpu_count": 1, | |
"gpu_vram_mb": 68702699520, | |
"optimum_benchmark_version": "0.2.0", | |
"optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d", | |
"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": 1001.500672, | |
"max_global_vram": 930.562048, | |
"max_process_vram": 236889.645056, | |
"max_reserved": 589.299712, | |
"max_allocated": 439.700992 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 130, | |
"total": 1.006110556125641, | |
"mean": 0.007739311970197236, | |
"stdev": 0.0002672115651695585, | |
"p50": 0.007756392955780029, | |
"p90": 0.007922631835937501, | |
"p95": 0.008133086061477661, | |
"p99": 0.008298235654830932, | |
"values": [ | |
0.009126458168029785, | |
0.008025190353393555, | |
0.007867912769317626, | |
0.007892713069915772, | |
0.00788183307647705, | |
0.007871272087097168, | |
0.007851592063903809, | |
0.007838152885437011, | |
0.007829032897949218, | |
0.0077227940559387205, | |
0.007691274166107178, | |
0.007707434177398682, | |
0.0077063140869140625, | |
0.007734633922576904, | |
0.0076779937744140625, | |
0.007695273876190185, | |
0.007756234169006348, | |
0.007755434036254883, | |
0.007781993865966797, | |
0.007712553977966308, | |
0.007716713905334472, | |
0.007735273838043213, | |
0.007773993968963623, | |
0.00773591423034668, | |
0.00775687313079834, | |
0.007921031951904297, | |
0.007937030792236328, | |
0.007821352958679199, | |
0.007853353023529052, | |
0.0078058338165283205, | |
0.007782793998718261, | |
0.007750312805175782, | |
0.007792393207550049, | |
0.007867592811584473, | |
0.007799912929534912, | |
0.007814952850341797, | |
0.0078005528450012206, | |
0.007805353164672852, | |
0.007817512989044189, | |
0.007785353183746338, | |
0.00781687307357788, | |
0.007788712978363037, | |
0.007799273014068604, | |
0.00784743309020996, | |
0.007830632209777833, | |
0.007840713024139405, | |
0.007800872802734375, | |
0.007909832000732421, | |
0.007892073154449463, | |
0.007880552768707276, | |
0.00787607192993164, | |
0.00788487195968628, | |
0.007853831768035889, | |
0.007852073192596436, | |
0.007851431846618653, | |
0.008108389854431153, | |
0.008240867614746093, | |
0.008233508110046387, | |
0.008148710250854492, | |
0.00811398983001709, | |
0.008321667671203613, | |
0.008171428680419921, | |
0.008195428848266602, | |
0.007965510845184326, | |
0.00788647222518921, | |
0.007875752925872804, | |
0.007995269775390624, | |
0.007858313083648682, | |
0.0077435941696166995, | |
0.0077863140106201175, | |
0.0077816729545593264, | |
0.007749194145202636, | |
0.007781033039093018, | |
0.007733193874359131, | |
0.007756392955780029, | |
0.007780872821807862, | |
0.007723594188690185, | |
0.007722474098205566, | |
0.007744393825531006, | |
0.007694314002990723, | |
0.0076976737976074214, | |
0.007747273921966552, | |
0.007721834182739258, | |
0.007725354194641113, | |
0.007753832817077637, | |
0.0077655138969421385, | |
0.007725994110107422, | |
0.0077559127807617185, | |
0.007700714111328125, | |
0.007712073802947998, | |
0.007673355102539062, | |
0.007753832817077637, | |
0.007700715065002441, | |
0.0077203941345214844, | |
0.007779913902282715, | |
0.007722953796386719, | |
0.007794473171234131, | |
0.007710154056549072, | |
0.007540235996246338, | |
0.0077136740684509274, | |
0.007233839035034179, | |
0.0070602412223815915, | |
0.007246319770812988, | |
0.007633355140686035, | |
0.007285038948059082, | |
0.007239919185638427, | |
0.007280398845672607, | |
0.007586315155029297, | |
0.007245679855346679, | |
0.007552556037902832, | |
0.007920231819152832, | |
0.007189199924468994, | |
0.006964241981506348, | |
0.007221839904785156, | |
0.007239599227905274, | |
0.007286959171295166, | |
0.007038321018218994, | |
0.007293999195098877, | |
0.007399117946624756, | |
0.007499756813049316, | |
0.0072893590927124025, | |
0.007756392955780029, | |
0.007707112789154052, | |
0.007617034912109375, | |
0.007650475025177002, | |
0.007306159019470215, | |
0.007813512802124023, | |
0.007605035781860351, | |
0.0077621531486511235, | |
0.007732714176177978 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 129.21045227932774 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |