IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
af7fdea verified
raw
history blame
12.2 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+rocm6.1",
"_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": 1082015.256576,
"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": "0.33.0",
"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": 1386.295296,
"max_global_vram": 11.075584,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 533.571072
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.72250390625,
"mean": 7.72250390625,
"stdev": 0.0,
"p50": 7.72250390625,
"p90": 7.72250390625,
"p95": 7.72250390625,
"p99": 7.72250390625,
"values": [
7.72250390625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1485.74208,
"max_global_vram": 11.14112,
"max_process_vram": 0.0,
"max_reserved": 589.299712,
"max_allocated": 439.456768
},
"latency": {
"unit": "s",
"count": 149,
"total": 1.0048536100387568,
"mean": 0.006743983959991659,
"stdev": 0.00046732393598980873,
"p50": 0.006559018135070801,
"p90": 0.007237319850921631,
"p95": 0.007262568092346191,
"p99": 0.00734000078201294,
"values": [
0.006815018177032471,
0.006684617042541504,
0.006481898784637451,
0.006476297855377198,
0.006494218826293945,
0.006513738155364991,
0.006502217769622802,
0.006486538887023926,
0.006455177783966064,
0.006764936923980713,
0.006500938892364502,
0.006439017772674561,
0.006785098075866699,
0.006964776039123535,
0.006782698154449463,
0.0066874980926513675,
0.006369099140167236,
0.006727017879486084,
0.007182536125183106,
0.007213575839996338,
0.007224616050720215,
0.007224616050720215,
0.007223176002502441,
0.007225574970245362,
0.007190375804901123,
0.007231336116790771,
0.007218056201934815,
0.007196616172790527,
0.0071759757995605465,
0.007201255798339844,
0.007254216194152832,
0.00724781608581543,
0.007245096206665039,
0.00728349494934082,
0.007304615974426269,
0.00725213623046875,
0.007277575016021729,
0.007268136024475098,
0.0072420558929443355,
0.007286375999450684,
0.007242856025695801,
0.007219655990600586,
0.007212775230407715,
0.00719325590133667,
0.007175016880035401,
0.00717901611328125,
0.007186056137084961,
0.007171815872192383,
0.007171815872192383,
0.007130856037139892,
0.007136295795440674,
0.010255166053771973,
0.007326855182647705,
0.007132297039031983,
0.007190375804901123,
0.007184135913848877,
0.007171976089477539,
0.007209735870361328,
0.007218376159667968,
0.007237256050109863,
0.0072058959007263185,
0.007213575839996338,
0.0067975778579711914,
0.006574217796325684,
0.006611978054046631,
0.006545097827911377,
0.00678205680847168,
0.006546538829803467,
0.006555498123168945,
0.006612937927246093,
0.006559018135070801,
0.006589417934417725,
0.006545417785644532,
0.006769736766815185,
0.006558857917785645,
0.006496778964996338,
0.006350698947906494,
0.006378858089447021,
0.006356459140777588,
0.006362858772277832,
0.006408298969268799,
0.006370058059692383,
0.006371979236602783,
0.006386538982391357,
0.006367178916931152,
0.0063726181983947755,
0.0063545389175415036,
0.006347818851470947,
0.0063430190086364744,
0.006319979190826416,
0.0065198178291320805,
0.0064250979423522946,
0.006331018924713135,
0.00634653902053833,
0.0063716588020324705,
0.006351978778839112,
0.006345738887786865,
0.0063511781692504885,
0.006352458953857422,
0.006482698917388916,
0.0067703771591186524,
0.006564457893371582,
0.006645738124847412,
0.006682218074798584,
0.0065151782035827634,
0.006714858055114746,
0.006686057090759277,
0.006536777973175049,
0.006493739128112793,
0.006346219062805176,
0.006347817897796631,
0.006329739093780517,
0.0063466992378234865,
0.006368779182434082,
0.006377738952636719,
0.0063521389961242675,
0.006351978778839112,
0.0063614192008972165,
0.0063594989776611325,
0.0063783788681030275,
0.006355177879333496,
0.006360619068145752,
0.006335178852081299,
0.006329898834228516,
0.006363338947296142,
0.006362538814544677,
0.006342058181762695,
0.006369739055633545,
0.0063447790145874025,
0.006381578922271728,
0.006357577800750733,
0.006341578960418701,
0.006348299026489258,
0.006372138977050781,
0.006352778911590576,
0.006365738868713379,
0.006667977809906006,
0.0066521382331848145,
0.006762857913970947,
0.00667229700088501,
0.006439339160919189,
0.006351179122924805,
0.006547018051147461,
0.006341578960418701,
0.007352135181427002,
0.007237575054168701,
0.007236135959625244,
0.0071850957870483395,
0.007216135978698731
]
},
"throughput": {
"unit": "samples/s",
"value": 148.2803052220244
},
"energy": null,
"efficiency": null
}
}
}