IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e26a12a verified
raw
history blame
11.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "0.2.0",
"optimum_benchmark_commit": null,
"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": 902.115328,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 152,
"total": 1.001573279380798,
"mean": 0.006589297890663147,
"stdev": 0.00022843924268888433,
"p50": 0.006553599834442139,
"p90": 0.006811033535003662,
"p95": 0.007023871970176697,
"p99": 0.0076116683959960955,
"values": [
0.007549952030181885,
0.007012351989746094,
0.007113728046417236,
0.006969312191009522,
0.006897664070129395,
0.0067870721817016606,
0.007002111911773682,
0.007037951946258545,
0.007675903797149658,
0.006536255836486817,
0.006401023864746094,
0.006407167911529541,
0.006329343795776367,
0.006363135814666748,
0.006311935901641846,
0.006355967998504639,
0.006354911804199219,
0.006336512088775635,
0.006375423908233643,
0.006351967811584472,
0.006364160060882569,
0.0063569917678833006,
0.006323200225830078,
0.0064767999649047855,
0.006331391811370849,
0.0063508481979370115,
0.006351871967315674,
0.006331391811370849,
0.006359039783477783,
0.0063211522102355954,
0.006336512088775635,
0.00636518383026123,
0.006425600051879882,
0.006599679946899414,
0.0065474557876586915,
0.006662144184112549,
0.006601727962493896,
0.006560768127441406,
0.006624288082122802,
0.006586304187774658,
0.0065413122177124024,
0.006584320068359375,
0.006576128005981445,
0.006542335987091064,
0.006605855941772461,
0.006552576065063476,
0.006553599834442139,
0.006552512168884277,
0.006567903995513916,
0.006550528049468994,
0.006560768127441406,
0.006874112129211426,
0.006550528049468994,
0.006586368083953857,
0.00652185583114624,
0.006575039863586426,
0.006586368083953857,
0.006515711784362793,
0.006577087879180908,
0.0065792641639709475,
0.006536191940307618,
0.006560768127441406,
0.006555647850036621,
0.006533120155334473,
0.006554624080657959,
0.006621183872222901,
0.006549503803253174,
0.006576128005981445,
0.006553599834442139,
0.006550528049468994,
0.006594560146331787,
0.006563839912414551,
0.006545407772064209,
0.006560768127441406,
0.006521920204162598,
0.006527999877929688,
0.006557695865631104,
0.006525951862335205,
0.006563839912414551,
0.00658841609954834,
0.006512639999389648,
0.0065443840026855465,
0.006546432018280029,
0.006551583766937256,
0.0065669121742248536,
0.006818816184997558,
0.006546432018280029,
0.006582272052764892,
0.006553599834442139,
0.00653004789352417,
0.006558720111846924,
0.006504447937011719,
0.006559711933135986,
0.006559743881225586,
0.006520832061767578,
0.007136256217956543,
0.007790592193603516,
0.007093183994293213,
0.007525375843048096,
0.006603775978088379,
0.00658022403717041,
0.006584320068359375,
0.006603775978088379,
0.006813695907592773,
0.006600639820098877,
0.006502399921417237,
0.006582272052764892,
0.006584320068359375,
0.006524928092956543,
0.006555647850036621,
0.006639616012573242,
0.006553599834442139,
0.006602752208709717,
0.006549503803253174,
0.006565887928009034,
0.006563839912414551,
0.0065443840026855465,
0.006501376152038574,
0.006604800224304199,
0.006452223777770996,
0.006554624080657959,
0.006582272052764892,
0.006543360233306885,
0.006536191940307618,
0.006532063961029053,
0.006540287971496582,
0.0065413122177124024,
0.006552639961242676,
0.006552576065063476,
0.006561791896820069,
0.006552576065063476,
0.006533120155334473,
0.006648831844329834,
0.006490111827850342,
0.006635519981384277,
0.0065669121742248536,
0.0065146880149841305,
0.006562816143035889,
0.006591487884521485,
0.006535168170928955,
0.006567935943603515,
0.006554624080657959,
0.00653107213973999,
0.006568960189819336,
0.006964223861694336,
0.006465536117553711,
0.006472703933715821,
0.006445055961608887,
0.00643891191482544,
0.006520832061767578,
0.00652288007736206,
0.006534143924713135
]
},
"throughput": {
"unit": "samples/s",
"value": 151.76123717474854
},
"energy": {
"unit": "kWh",
"cpu": 7.842443636711072e-08,
"ram": 4.287034533756965e-08,
"gpu": 1.4525581892715106e-07,
"total": 2.6655060063183144e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3751632.8893260807
}
}
}
}