IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
5d351d7 verified
raw
history blame
11.9 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.3.1+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": "4",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1023.770624,
"max_global_vram": 68702.69952,
"max_process_vram": 36503.437312,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4304111328125,
"mean": 7.4304111328125,
"stdev": 0.0,
"p50": 7.4304111328125,
"p90": 7.4304111328125,
"p95": 7.4304111328125,
"p99": 7.4304111328125,
"values": [
7.4304111328125
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1155.072,
"max_global_vram": 68702.69952,
"max_process_vram": 231678.369792,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 142,
"total": 1.0014572563171382,
"mean": 0.007052515889557313,
"stdev": 0.0003547244709965341,
"p50": 0.0069499781131744385,
"p90": 0.007653191184997559,
"p95": 0.00767755115032196,
"p99": 0.007708748116493225,
"values": [
0.007028138160705567,
0.007091176986694336,
0.00718429708480835,
0.007041737079620362,
0.006951817989349365,
0.0068465380668640136,
0.006720458030700684,
0.006706697940826416,
0.006897418022155761,
0.006728458881378174,
0.006712617874145507,
0.006691818237304688,
0.00670845890045166,
0.006695337772369385,
0.006670699119567871,
0.006709897994995117,
0.006715498924255371,
0.006672138214111328,
0.006671178817749024,
0.006669097900390625,
0.006719338893890381,
0.006911656856536865,
0.006901097774505615,
0.006963178157806397,
0.006703658103942871,
0.006874217987060547,
0.006749738216400147,
0.0068990178108215335,
0.006880618095397949,
0.0069623770713806155,
0.006802538871765137,
0.0068276581764221194,
0.0068374180793762205,
0.006723498821258545,
0.006691977977752685,
0.0066929378509521485,
0.006716138839721679,
0.006718058109283448,
0.006686859130859375,
0.006663497924804688,
0.0067238187789917,
0.006676938056945801,
0.006703659057617188,
0.006710379123687744,
0.006688777923583984,
0.006684618949890137,
0.006689417839050293,
0.0067172589302062985,
0.006702538013458252,
0.0066866989135742185,
0.006703978061676026,
0.006725098133087158,
0.006703019142150879,
0.006713098049163819,
0.006881097793579102,
0.006736937999725342,
0.006722538948059082,
0.006733098030090332,
0.006700138092041016,
0.006699338912963867,
0.006703338146209717,
0.0067287788391113285,
0.006784778118133545,
0.006765577793121338,
0.006734538078308106,
0.0069082980155944825,
0.006797897815704346,
0.006780298233032227,
0.006982058048248291,
0.0071194968223571775,
0.0071830167770385745,
0.00719133710861206,
0.007379816055297851,
0.007208617210388184,
0.007300936222076416,
0.007139337062835693,
0.0071372570991516116,
0.0072137370109558105,
0.007216776847839355,
0.007352615833282471,
0.007162537097930908,
0.007301897048950195,
0.007378695964813232,
0.007503015995025635,
0.00725213623046875,
0.007200457096099853,
0.007128296852111816,
0.007228456974029541,
0.007298057079315186,
0.007317575931549072,
0.007321095943450927,
0.007285576820373535,
0.007134377002716064,
0.007096617221832275,
0.006960457801818848,
0.006934057235717774,
0.0069481382369995116,
0.007001896858215332,
0.007014378070831299,
0.0067639780044555665,
0.006747817993164063,
0.006767818927764893,
0.006758537769317627,
0.006755817890167237,
0.006748777866363525,
0.0070647778511047366,
0.007084297180175781,
0.007131977081298828,
0.0070412569046020505,
0.006898377895355225,
0.006735497951507568,
0.007459176063537598,
0.0077223749160766604,
0.007612936019897461,
0.007443816184997559,
0.007071016788482666,
0.007662694931030273,
0.007638376235961914,
0.0076697349548339845,
0.007592616081237793,
0.007605094909667969,
0.007677095890045166,
0.00767757511138916,
0.007717734813690186,
0.0076801347732543945,
0.007695816040039063,
0.00769341516494751,
0.007682855129241943,
0.007610055923461914,
0.007654055118560791,
0.007636455059051514,
0.007365736961364746,
0.007219816207885742,
0.0076775760650634765,
0.007641893863677978,
0.007655014991760254,
0.007645415782928467,
0.007654055118560791,
0.007613736152648926,
0.007573255062103271,
0.007607495784759522,
0.007663654804229736
]
},
"throughput": {
"unit": "samples/s",
"value": 141.7933707147975
},
"energy": null,
"efficiency": null
}
}
}