IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e660ea9 verified
raw
history blame
11.9 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"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": {},
"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": 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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.223-211.872.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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"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": 789.909504,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.65292333984375,
"mean": 7.65292333984375,
"stdev": 0.0,
"p50": 7.65292333984375,
"p90": 7.65292333984375,
"p95": 7.65292333984375,
"p99": 7.65292333984375,
"values": [
7.65292333984375
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.075779573611789e-06,
"ram": 5.635637367262178e-07,
"gpu": 1.8141681180001458e-06,
"total": 3.453511428338153e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1080.111104,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 140,
"total": 0.9958571524620059,
"mean": 0.007113265374728612,
"stdev": 0.0002980955571365957,
"p50": 0.007136255979537964,
"p90": 0.007416144132614136,
"p95": 0.007536742568016052,
"p99": 0.008141906642913812,
"values": [
0.007396351814270019,
0.007401472091674805,
0.007602176189422607,
0.00743936014175415,
0.007461887836456299,
0.007418879985809326,
0.007415840148925781,
0.007365632057189942,
0.00753868818283081,
0.007766079902648926,
0.007265279769897461,
0.007134208202362061,
0.007241727828979493,
0.007188479900360107,
0.00719974422454834,
0.007142399787902832,
0.007006207942962647,
0.007013376235961914,
0.007002111911773682,
0.006922239780426025,
0.00686787223815918,
0.006971392154693603,
0.007527423858642578,
0.007310336112976074,
0.007418879985809326,
0.007360511779785156,
0.007203936100006103,
0.007135231971740722,
0.007137279987335205,
0.007260159969329834,
0.007259263992309571,
0.007147520065307617,
0.0071905279159545895,
0.00722431993484497,
0.007201791763305664,
0.007185408115386963,
0.00704095983505249,
0.007220096111297607,
0.007157760143280029,
0.0073431038856506346,
0.007266304016113281,
0.007138304233551026,
0.007165952205657959,
0.007007232189178467,
0.007053311824798584,
0.00706166410446167,
0.007093088150024414,
0.007176191806793213,
0.007157760143280029,
0.00704204797744751,
0.006858751773834228,
0.0068884482383728025,
0.007005184173583984,
0.007357279777526856,
0.007536640167236328,
0.007309311866760254,
0.007273600101470947,
0.007260320186614991,
0.007230495929718018,
0.007153664112091064,
0.007128064155578613,
0.007184383869171143,
0.007443456172943115,
0.00725708818435669,
0.007041056156158448,
0.007142399787902832,
0.007206912040710449,
0.007205887794494629,
0.007266240119934082,
0.007315455913543701,
0.007198719978332519,
0.0071198720932006835,
0.007258111953735351,
0.007187456130981445,
0.0071157760620117185,
0.0071198720932006835,
0.007089280128479004,
0.007076863765716553,
0.00715990400314331,
0.007113728046417236,
0.00860979175567627,
0.008320096015930176,
0.007301023960113525,
0.007658559799194336,
0.007331679821014405,
0.007393280029296875,
0.007863200187683106,
0.007164927959442138,
0.007197696208953858,
0.0072293438911437986,
0.007203839778900147,
0.007062528133392334,
0.007166975975036621,
0.007120031833648682,
0.007079936027526855,
0.007164927959442138,
0.006914015769958496,
0.007046144008636474,
0.00723967981338501,
0.006944767951965332,
0.0067358717918396,
0.006716320037841797,
0.006767615795135498,
0.0068280320167541505,
0.006842368125915528,
0.0069324798583984375,
0.006968319892883301,
0.006939648151397705,
0.007071584224700928,
0.007122943878173828,
0.006907904148101806,
0.006849535942077637,
0.00694704008102417,
0.006945792198181152,
0.006862847805023193,
0.006817728042602539,
0.006914048194885254,
0.006822912216186523,
0.006773759841918945,
0.0066499199867248535,
0.0066936640739440915,
0.006721536159515381,
0.006650879859924317,
0.006687744140625,
0.00669593620300293,
0.006633471965789795,
0.006680575847625733,
0.006670335769653321,
0.006643487930297852,
0.0066406397819519045,
0.006680575847625733,
0.006793216228485107,
0.006721536159515381,
0.006862847805023193,
0.007180287837982178,
0.006842368125915528,
0.006785024166107178,
0.006722559928894043,
0.006675456047058105,
0.0066938881874084475
]
},
"throughput": {
"unit": "samples/s",
"value": 140.58241149735713
},
"energy": {
"unit": "kWh",
"cpu": 7.519525679940036e-08,
"ram": 4.098671632198466e-08,
"gpu": 1.429009582025348e-07,
"total": 2.5908293132391986e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3859767.9703945625
}
}
}
}