
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
15ee24a
verified
{ | |
"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": {}, | |
"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": "0.3.1", | |
"optimum_benchmark_commit": null, | |
"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": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 876.09344, | |
"max_global_vram": 1229.45536, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 186, | |
"total": 1.0032097973823548, | |
"mean": 0.005393601061195456, | |
"stdev": 0.00019146157722325623, | |
"p50": 0.005348352193832397, | |
"p90": 0.0056299521923065185, | |
"p95": 0.005689856171607971, | |
"p99": 0.00579819540977478, | |
"values": [ | |
0.006144000053405762, | |
0.005646336078643799, | |
0.005791744232177734, | |
0.0057415680885314945, | |
0.005834752082824707, | |
0.005439487934112549, | |
0.005410816192626953, | |
0.005472256183624268, | |
0.005401599884033203, | |
0.005476352214813233, | |
0.005377024173736572, | |
0.005349376201629639, | |
0.005347328186035156, | |
0.005312511920928955, | |
0.005368832111358642, | |
0.005727231979370117, | |
0.005631999969482422, | |
0.005502975940704345, | |
0.005493760108947754, | |
0.0054876160621643065, | |
0.005569536209106446, | |
0.0055511040687561035, | |
0.005609471797943116, | |
0.005658624172210694, | |
0.005607423782348633, | |
0.005616640090942383, | |
0.005600255966186523, | |
0.0055214080810546875, | |
0.005538815975189209, | |
0.005601280212402344, | |
0.005628928184509278, | |
0.005604351997375488, | |
0.0055920639038085935, | |
0.005616640090942383, | |
0.005591040134429932, | |
0.005626880168914795, | |
0.0055623679161071774, | |
0.00555622386932373, | |
0.005620736122131348, | |
0.005582848072052002, | |
0.005641280174255371, | |
0.0056217598915100095, | |
0.005492735862731934, | |
0.005593088150024414, | |
0.005583871841430664, | |
0.00555622386932373, | |
0.005554175853729248, | |
0.0055582718849182125, | |
0.005495808124542236, | |
0.005337088108062744, | |
0.005279744148254394, | |
0.005318655967712403, | |
0.005404672145843506, | |
0.00536575984954834, | |
0.005386240005493164, | |
0.005379072189331055, | |
0.0053606400489807126, | |
0.005398528099060058, | |
0.005311488151550293, | |
0.005775360107421875, | |
0.005702655792236328, | |
0.005605375766754151, | |
0.005716991901397705, | |
0.00563097620010376, | |
0.0056258559226989744, | |
0.005694464206695556, | |
0.005610496044158936, | |
0.005586944103240967, | |
0.0055244798660278325, | |
0.005626880168914795, | |
0.005608448028564453, | |
0.005561344146728516, | |
0.005667840003967285, | |
0.005623807907104492, | |
0.005545983791351319, | |
0.0055511040687561035, | |
0.005553152084350586, | |
0.00555622386932373, | |
0.005501952171325684, | |
0.0055582718849182125, | |
0.005561344146728516, | |
0.0055316481590271, | |
0.005640192031860352, | |
0.005368832111358642, | |
0.005349376201629639, | |
0.005414912223815918, | |
0.005370880126953125, | |
0.005350399971008301, | |
0.005350399971008301, | |
0.005283840179443359, | |
0.005307392120361328, | |
0.005338111877441406, | |
0.0052111358642578124, | |
0.005249023914337158, | |
0.005332992076873779, | |
0.005208064079284668, | |
0.005150720119476319, | |
0.005192704200744629, | |
0.005044223785400391, | |
0.005114880084991455, | |
0.005189631938934326, | |
0.005220352172851562, | |
0.005064703941345215, | |
0.0050063362121582035, | |
0.0050124797821044925, | |
0.0050063362121582035, | |
0.005040128231048584, | |
0.005018623828887939, | |
0.00506879997253418, | |
0.005346303939819336, | |
0.005398528099060058, | |
0.005436416149139404, | |
0.005447679996490478, | |
0.005464064121246338, | |
0.005529600143432617, | |
0.005673984050750733, | |
0.005484543800354004, | |
0.005322751998901368, | |
0.005285888195037842, | |
0.0052930560111999515, | |
0.005314559936523438, | |
0.005254144191741943, | |
0.005251071929931641, | |
0.0053043198585510255, | |
0.005264383792877197, | |
0.005261312007904053, | |
0.005294079780578613, | |
0.005275648117065429, | |
0.005283840179443359, | |
0.0052971520423889164, | |
0.005249023914337158, | |
0.005241856098175048, | |
0.00531660795211792, | |
0.005279744148254394, | |
0.005237760066986084, | |
0.00526643180847168, | |
0.005258240222930908, | |
0.005230591773986816, | |
0.005237760066986084, | |
0.005244927883148193, | |
0.00522649621963501, | |
0.005215231895446777, | |
0.005253119945526123, | |
0.0051998720169067385, | |
0.005231616020202637, | |
0.005253119945526123, | |
0.005238783836364746, | |
0.005212160110473632, | |
0.005274623870849609, | |
0.005254144191741943, | |
0.005221375942230225, | |
0.0052705278396606445, | |
0.005259263992309571, | |
0.005248000144958496, | |
0.005239808082580567, | |
0.005246975898742676, | |
0.005703680038452149, | |
0.005250048160552978, | |
0.00522649621963501, | |
0.005208064079284668, | |
0.005208064079284668, | |
0.005227519989013672, | |
0.005213183879852295, | |
0.005206016063690186, | |
0.005242879867553711, | |
0.0052295680046081545, | |
0.005221375942230225, | |
0.005248000144958496, | |
0.005235712051391602, | |
0.005232639789581299, | |
0.005251071929931641, | |
0.005245952129364013, | |
0.005231616020202637, | |
0.005224448204040527, | |
0.005303296089172363, | |
0.005284863948822022, | |
0.005242879867553711, | |
0.00536678409576416, | |
0.005676032066345215, | |
0.005230591773986816, | |
0.005245952129364013, | |
0.005215231895446777, | |
0.005210112094879151, | |
0.005235712051391602, | |
0.00521830415725708, | |
0.005201920032501221 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 185.4048878762191 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 5.807236388877586e-08, | |
"ram": 3.1741110685592545e-08, | |
"gpu": 1.2125962859803905e-07, | |
"total": 2.1107310317240745e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 4737695.068533607 | |
} | |
} | |
} | |
} |