IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
9535efa 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": 901.677056,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993536
},
"latency": {
"unit": "s",
"count": 150,
"total": 1.0022338247299192,
"mean": 0.006681558831532796,
"stdev": 0.00026484379998751917,
"p50": 0.006718976020812988,
"p90": 0.006989721393585204,
"p95": 0.007276697540283202,
"p99": 0.0073917644977569575,
"values": [
0.007484416007995606,
0.0071905279159545895,
0.007364607810974121,
0.007417856216430664,
0.007342080116271973,
0.007301119804382325,
0.007303167819976806,
0.007206912040710449,
0.007161856174468994,
0.007362559795379638,
0.0065443840026855465,
0.006351871967315674,
0.006656000137329102,
0.00672051191329956,
0.006722559928894043,
0.0067645440101623535,
0.006779903888702392,
0.006715392112731934,
0.006740992069244385,
0.006738944053649902,
0.00698367977142334,
0.006750207901000976,
0.006767615795135498,
0.00672051191329956,
0.006746111869812011,
0.006754303932189941,
0.006731776237487793,
0.006730751991271973,
0.006722559928894043,
0.006803455829620361,
0.007208960056304932,
0.0064174079895019534,
0.0063836159706115725,
0.006396927833557129,
0.006345727920532227,
0.006369279861450195,
0.006379519939422608,
0.006395904064178467,
0.006371327877044678,
0.006359039783477783,
0.006367231845855713,
0.006344704151153564,
0.006385663986206055,
0.006368256092071533,
0.006370304107666015,
0.006359039783477783,
0.006366208076477051,
0.0063805441856384275,
0.006346752166748047,
0.006346752166748047,
0.006405119895935059,
0.006363135814666748,
0.006392831802368164,
0.006336512088775635,
0.006355967998504639,
0.006345727920532227,
0.006341631889343262,
0.006362112045288086,
0.006338560104370118,
0.006363135814666748,
0.0063610877990722655,
0.006344704151153564,
0.006460415840148926,
0.006338560104370118,
0.006392831802368164,
0.006339583873748779,
0.006354944229125976,
0.006385663986206055,
0.006366208076477051,
0.006342656135559082,
0.006352896213531494,
0.0063539199829101565,
0.006370304107666015,
0.006336512088775635,
0.006379519939422608,
0.006946815967559815,
0.006700032234191895,
0.006725632190704346,
0.006778880119323731,
0.006722559928894043,
0.006807551860809326,
0.006758399963378906,
0.006737919807434082,
0.00672870397567749,
0.006718463897705078,
0.007093247890472412,
0.006716415882110595,
0.006760447978973389,
0.006791168212890625,
0.006767615795135498,
0.006751232147216797,
0.006811647891998291,
0.006756351947784424,
0.007044095993041993,
0.006781951904296875,
0.006793216228485107,
0.006746111869812011,
0.006812672138214112,
0.007342080116271973,
0.006812672138214112,
0.006683648109436035,
0.006778880119323731,
0.006760479927062989,
0.006715392112731934,
0.006689792156219483,
0.006711296081542969,
0.0067338237762451176,
0.006692927837371826,
0.00675328016281128,
0.006740992069244385,
0.0067358717918396,
0.006744063854217529,
0.006726655960083008,
0.006702079772949219,
0.006719488143920899,
0.0067041277885437015,
0.006714367866516113,
0.00667955207824707,
0.0067041277885437015,
0.0067153282165527345,
0.006716351985931396,
0.006725632190704346,
0.006729728221893311,
0.006884352207183838,
0.006838272094726563,
0.006800384044647217,
0.0072468481063842774,
0.006846464157104492,
0.00677785587310791,
0.006755328178405762,
0.006694911956787109,
0.006751232147216797,
0.0067338237762451176,
0.00669593620300293,
0.006725632190704346,
0.006715392112731934,
0.006722559928894043,
0.0067010560035705566,
0.006687744140625,
0.006700032234191895,
0.0066979842185974124,
0.006719488143920899,
0.00672051191329956,
0.006683648109436035,
0.006721536159515381,
0.006703104019165039,
0.0066744318008422855,
0.006725632190704346,
0.006699007987976074,
0.0066979842185974124
]
},
"throughput": {
"unit": "samples/s",
"value": 149.6656731181686
},
"energy": {
"unit": "kWh",
"cpu": 7.732159217542728e-08,
"ram": 4.211485477545314e-08,
"gpu": 1.441270994285792e-07,
"total": 2.6356354637945965e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3794151.4057496884
}
}
}
}