IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
79b169f verified
raw
history blame
9.89 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": "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": 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": "0.2.1",
"optimum_benchmark_commit": "0b24af9d7b7751f74b160dfade73ef78e10964d6",
"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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1002.164224,
"max_global_vram": 3129.511936,
"max_process_vram": 217081.700352,
"max_reserved": 589.299712,
"max_allocated": 439.700992
},
"latency": {
"unit": "s",
"count": 126,
"total": 1.0042810144424439,
"mean": 0.007970484241606698,
"stdev": 0.0002114939257423605,
"p50": 0.007932140350341796,
"p90": 0.008040940284729004,
"p95": 0.0081751389503479,
"p99": 0.008858258485794067,
"values": [
0.008182218551635742,
0.007931180000305176,
0.007932140827178955,
0.007889739990234375,
0.008041740417480469,
0.008125259399414062,
0.008255979537963868,
0.008218699455261231,
0.008205739974975586,
0.008188618659973144,
0.008153900146484375,
0.008095499992370605,
0.008047499656677247,
0.008032778739929199,
0.00804014015197754,
0.0080345401763916,
0.008059020042419434,
0.007953100204467774,
0.007954700946807862,
0.008037420272827148,
0.007953900814056397,
0.007967820167541504,
0.007926060199737548,
0.00790749979019165,
0.007937099933624268,
0.007940300941467285,
0.007921579837799073,
0.007975820064544678,
0.007994540214538574,
0.007955339908599854,
0.007945740222930908,
0.007945419788360596,
0.0090590181350708,
0.009883655548095702,
0.007923500061035156,
0.007843019962310792,
0.007829421043395996,
0.007927340030670166,
0.007874859809875488,
0.007888300895690918,
0.007856781005859376,
0.007853099822998047,
0.007959819793701172,
0.00794606113433838,
0.007984140872955322,
0.007949580192565918,
0.007923820018768311,
0.007899980068206787,
0.007976940155029297,
0.007931180953979492,
0.007910059928894044,
0.007951340198516847,
0.007942220211029053,
0.007929900169372558,
0.007911661148071288,
0.007939980030059815,
0.007896940231323242,
0.007933899879455567,
0.008012459754943848,
0.007997580051422119,
0.007930059909820557,
0.007953421115875244,
0.007956299781799316,
0.007914859771728516,
0.007903180122375487,
0.007916460037231446,
0.007979180812835693,
0.007925899982452392,
0.00793262004852295,
0.007947020053863526,
0.007922860145568847,
0.007938540935516358,
0.007880780220031738,
0.007927340030670166,
0.007920300006866455,
0.007957580089569092,
0.007908461093902587,
0.007898059844970703,
0.007941579818725586,
0.007920780181884766,
0.007921260833740234,
0.007932940006256103,
0.00793917989730835,
0.007932139873504638,
0.007941100120544433,
0.00789966106414795,
0.00786382007598877,
0.007871019840240478,
0.00789086103439331,
0.007922220230102538,
0.00792814016342163,
0.00792494010925293,
0.00786910104751587,
0.007875979900360108,
0.00791453981399536,
0.007902221202850342,
0.007940299987792969,
0.007884940147399903,
0.007901579856872558,
0.007886061191558838,
0.007843019962310792,
0.00788238000869751,
0.007961900234222411,
0.007880461215972901,
0.007880300045013429,
0.007943339824676513,
0.00790093994140625,
0.00797342014312744,
0.0079286208152771,
0.00795005989074707,
0.007992939949035644,
0.007908140182495117,
0.007981420040130615,
0.007961900234222411,
0.007971020221710205,
0.007936460971832275,
0.007905419826507568,
0.007922379970550538,
0.007944779872894287,
0.007856941223144532,
0.00790605878829956,
0.007855659961700439,
0.007858380794525147,
0.007944779872894287,
0.007885419845581054,
0.007899980068206787
]
},
"throughput": {
"unit": "samples/s",
"value": 125.46289154928672
},
"energy": null,
"efficiency": null
}
}
}