IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
dbf6f80 verified
raw
history blame
10.9 kB
{
"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",
"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": 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",
"numactl": false,
"numactl_kwargs": {},
"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": "0.3.1",
"optimum_benchmark_commit": "b6683a24439f2dd9ea7e05cec40bf36c11a71f7a",
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 898.347008,
"max_global_vram": 1160.093696,
"max_process_vram": 45671.694336,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.28969873046875,
"mean": 7.28969873046875,
"stdev": 0.0,
"p50": 7.28969873046875,
"p90": 7.28969873046875,
"p95": 7.28969873046875,
"p99": 7.28969873046875,
"values": [
7.28969873046875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1018.179584,
"max_global_vram": 1223.630848,
"max_process_vram": 238262.792192,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 128,
"total": 1.0045290589332583,
"mean": 0.007847883272916079,
"stdev": 0.00010372567542761972,
"p50": 0.007819506883621215,
"p90": 0.007984674978256225,
"p95": 0.008021314764022828,
"p99": 0.008134639177322387,
"values": [
0.008042866706848145,
0.008015187263488769,
0.00801902675628662,
0.007978705883026124,
0.007990386962890625,
0.008022546768188477,
0.007926547050476074,
0.008003347396850586,
0.007920466899871826,
0.007946546077728272,
0.008108627319335938,
0.007910706996917725,
0.007889906883239746,
0.007893746852874755,
0.007987027168273925,
0.007909266948699952,
0.007983666896820068,
0.00793406581878662,
0.007922546863555908,
0.007929266929626465,
0.00801198673248291,
0.008111347198486328,
0.008136626243591308,
0.008129266738891602,
0.007926386833190918,
0.00783870792388916,
0.007789906978607178,
0.00779854679107666,
0.007773266792297363,
0.007789426803588867,
0.007756786823272705,
0.007727986812591553,
0.007799508094787598,
0.007743506908416748,
0.007803027153015137,
0.007758546829223633,
0.007786706924438476,
0.007782066822052002,
0.00784382677078247,
0.007765428066253662,
0.00779854679107666,
0.007773266792297363,
0.0078068671226501464,
0.007845586776733398,
0.007770866870880127,
0.00782574701309204,
0.007791667938232422,
0.007919506072998047,
0.007801427841186524,
0.007801587104797363,
0.007777106761932373,
0.007870546817779541,
0.007802387237548828,
0.007824626922607422,
0.007812787055969238,
0.007826706886291505,
0.007802387237548828,
0.007823348045349121,
0.007853267192840576,
0.007816146850585938,
0.007844467163085938,
0.007822227001190186,
0.007816627025604247,
0.0078001470565795894,
0.007749106884002686,
0.007816946983337403,
0.00778958797454834,
0.007856468200683593,
0.007844946861267089,
0.007842546939849853,
0.007839827060699463,
0.007843186855316162,
0.007821267127990722,
0.007775506973266602,
0.007828947067260741,
0.007854866981506347,
0.0077479867935180665,
0.007792148113250732,
0.007872467041015624,
0.0077756671905517575,
0.007774066925048828,
0.007864306926727295,
0.0077425470352172855,
0.007858226776123047,
0.0077591872215270995,
0.007811347007751465,
0.007805747985839844,
0.00785742712020874,
0.007819666862487792,
0.007830226898193359,
0.007850226879119872,
0.007801426887512207,
0.007783186912536621,
0.007806066989898682,
0.007869747161865235,
0.007805906772613526,
0.007825907230377196,
0.007803347110748291,
0.007848307132720948,
0.007822547912597656,
0.007834066867828369,
0.007763667106628418,
0.007808466911315918,
0.007827826976776123,
0.007819346904754639,
0.0077852668762207035,
0.008535825729370117,
0.007782866954803467,
0.0077601480484008785,
0.0077761468887329105,
0.00775102710723877,
0.007841746807098388,
0.00774558687210083,
0.007811347007751465,
0.0077995071411132814,
0.007812627792358398,
0.00780446720123291,
0.007767827033996582,
0.00779470682144165,
0.007745427131652832,
0.00781982707977295,
0.007832626819610595,
0.007805107116699218,
0.007795667171478272,
0.007780147075653076,
0.007856146812438965,
0.007836466789245605,
0.007809106826782227
]
},
"throughput": {
"unit": "samples/s",
"value": 127.42289420270963
},
"energy": null,
"efficiency": null
}
}
}