IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e1d4f1d verified
raw
history blame
11.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+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",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.293824,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "0.2.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 903.348224,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 150,
"total": 1.00095231628418,
"mean": 0.0066730154418945305,
"stdev": 0.0001377102196758533,
"p50": 0.006644223928451538,
"p90": 0.006847279930114746,
"p95": 0.00689879047870636,
"p99": 0.007091445865631102,
"values": [
0.007425024032592774,
0.006897664070129395,
0.0069253120422363285,
0.006946847915649414,
0.006871039867401123,
0.006896639823913574,
0.006873087882995605,
0.006863840103149414,
0.006776832103729248,
0.006738944053649902,
0.006779903888702392,
0.006688767910003662,
0.006657023906707763,
0.006667263984680176,
0.006670271873474121,
0.006845439910888672,
0.00682700777053833,
0.006796288013458252,
0.00674508810043335,
0.006972383975982666,
0.006763519763946534,
0.0067717118263244626,
0.0067758078575134275,
0.0067686400413513184,
0.006754303932189941,
0.006750207901000976,
0.006745120048522949,
0.006899712085723877,
0.006709248065948486,
0.006568064212799072,
0.0065616960525512694,
0.006748159885406494,
0.006677504062652588,
0.00672156810760498,
0.006729728221893311,
0.006809535980224609,
0.006870016098022461,
0.006808576107025147,
0.006807519912719727,
0.006737919807434082,
0.006672383785247803,
0.006758399963378906,
0.006761472225189209,
0.006715392112731934,
0.00672870397567749,
0.006700032234191895,
0.006612991809844971,
0.006599679946899414,
0.0067153282165527345,
0.006755328178405762,
0.0066457920074462894,
0.006669312000274658,
0.0066969280242919925,
0.006665215969085693,
0.006669312000274658,
0.006716415882110595,
0.006707200050354004,
0.006755328178405762,
0.006718463897705078,
0.006730751991271973,
0.006724607944488525,
0.0066837120056152345,
0.006773759841918945,
0.006643712043762207,
0.006661119937896728,
0.006604800224304199,
0.006576128005981445,
0.00648086404800415,
0.006586368083953857,
0.006723584175109864,
0.006529983997344971,
0.0062975997924804685,
0.0065391998291015625,
0.0068249602317810056,
0.006681600093841553,
0.006699007987976074,
0.006927360057830811,
0.0068280320167541505,
0.006870016098022461,
0.007153664112091064,
0.006746111869812011,
0.0065812478065490725,
0.0066447358131408694,
0.006599679946899414,
0.0065474557876586915,
0.006623231887817383,
0.006624256134033203,
0.006646783828735352,
0.00662937593460083,
0.006595583915710449,
0.0065669121742248536,
0.006574079990386963,
0.006567935943603515,
0.006642687797546387,
0.006571072101593018,
0.006574079990386963,
0.0066109437942504885,
0.00658739185333252,
0.006565887928009034,
0.006574079990386963,
0.006619135856628418,
0.006651904106140137,
0.006608895778656006,
0.006663167953491211,
0.006560768127441406,
0.006559743881225586,
0.006586368083953857,
0.006615039825439453,
0.006558720111846924,
0.00659660816192627,
0.006552576065063476,
0.006585343837738037,
0.00657203197479248,
0.0065474557876586915,
0.006585343837738037,
0.006612991809844971,
0.006567935943603515,
0.0065771517753601075,
0.006638591766357422,
0.00657203197479248,
0.006549503803253174,
0.00658739185333252,
0.006552576065063476,
0.00658022403717041,
0.0066427521705627445,
0.006563839912414551,
0.006583295822143555,
0.006555647850036621,
0.006558720111846924,
0.006568960189819336,
0.0065392317771911625,
0.006567935943603515,
0.0070266880989074704,
0.006602752208709717,
0.006585343837738037,
0.006497280120849609,
0.006650879859924317,
0.006526976108551025,
0.006486015796661377,
0.0065177597999572755,
0.0065064959526062015,
0.006506303787231446,
0.006583295822143555,
0.006595583915710449,
0.006568992137908935,
0.006552576065063476,
0.006642687797546387,
0.006565887928009034,
0.00657696008682251,
0.006556672096252441
]
},
"throughput": {
"unit": "samples/s",
"value": 149.85728846389284
},
"energy": {
"unit": "kWh",
"cpu": 7.65692055439009e-08,
"ram": 4.1832954362359576e-08,
"gpu": 1.5566499908387099e-07,
"total": 2.7406715899013147e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3648740.708973481
}
}
}
}