IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
485d725 verified
raw
history blame
10.7 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "multiple-choice",
"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": {},
"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": "0.3.1",
"optimum_benchmark_commit": null,
"transformers_version": "4.42.4",
"transformers_commit": null,
"accelerate_version": "0.32.1",
"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": 914.046976,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.039104
},
"latency": {
"unit": "s",
"count": 136,
"total": 0.9956279664039612,
"mean": 0.007320793870617362,
"stdev": 0.00030853858577039624,
"p50": 0.0072934401035308835,
"p90": 0.007656447887420655,
"p95": 0.007738623976707458,
"p99": 0.007865446376800537,
"values": [
0.008058879852294922,
0.007671807765960693,
0.007856128215789794,
0.007870463848114014,
0.007785439968109131,
0.0077844481468200685,
0.007797760009765625,
0.0077578239440917966,
0.007732223987579345,
0.007700479984283447,
0.007613440036773681,
0.007615488052368164,
0.007546879768371582,
0.007498752117156982,
0.007568384170532226,
0.007556096076965332,
0.0076360001564025875,
0.007640063762664795,
0.007617536067962646,
0.007606272220611572,
0.007551936149597168,
0.007642111778259277,
0.0076687359809875484,
0.007636928081512452,
0.007614463806152344,
0.007654399871826172,
0.0076277761459350585,
0.007581696033477783,
0.0076277761459350585,
0.007658495903015137,
0.007611392021179199,
0.0075632638931274416,
0.00753868818283081,
0.007627840042114258,
0.007624703884124756,
0.007531519889831543,
0.007618591785430908,
0.007602176189422607,
0.007618559837341309,
0.007699456214904785,
0.007628799915313721,
0.00764518404006958,
0.007575551986694336,
0.007540736198425293,
0.007561215877532959,
0.007639039993286132,
0.0075632638931274416,
0.007588831901550293,
0.00760211181640625,
0.0074967041015625,
0.007513088226318359,
0.007486464023590088,
0.0072837119102478025,
0.007434239864349365,
0.007155712127685547,
0.0071823358535766605,
0.007219200134277344,
0.007247871875762939,
0.007233535766601563,
0.007233535766601563,
0.007290880203247071,
0.007427072048187256,
0.007358463764190673,
0.007373824119567871,
0.007373824119567871,
0.007300127983093261,
0.007235583782196045,
0.007260159969329834,
0.007202847957611084,
0.007291903972625732,
0.0072325119972229,
0.007214079856872559,
0.007113728046417236,
0.007013376235961914,
0.007175168037414551,
0.007580671787261963,
0.0073155198097229,
0.007151616096496582,
0.00724889612197876,
0.007266304016113281,
0.007402495861053467,
0.007511040210723877,
0.007521279811859131,
0.007616511821746826,
0.007658495903015137,
0.007475200176239013,
0.00729804801940918,
0.007260159969329834,
0.007266304016113281,
0.007294976234436036,
0.007280640125274658,
0.007171072006225586,
0.007195648193359375,
0.007228415966033935,
0.007206912040710449,
0.007151616096496582,
0.007150591850280762,
0.007194623947143554,
0.0071526398658752445,
0.007185408115386963,
0.007196671962738037,
0.007163904190063477,
0.0071485118865966795,
0.00723967981338501,
0.0068884482383728025,
0.006883327960968018,
0.006871039867401123,
0.006894559860229492,
0.006860799789428711,
0.006854656219482422,
0.006873087882995605,
0.006851583957672119,
0.006887423992156983,
0.006863872051239014,
0.006864895820617676,
0.006879231929779053,
0.006875135898590088,
0.0068853759765625,
0.007066624164581299,
0.00693555212020874,
0.006874112129211426,
0.006875135898590088,
0.006925343990325928,
0.006887423992156983,
0.006840320110321045,
0.006868959903717041,
0.00689356803894043,
0.006819839954376221,
0.006866943836212158,
0.006889472007751465,
0.006870016098022461,
0.006860799789428711,
0.006887423992156983,
0.006849535942077637,
0.006858751773834228,
0.006881279945373535
]
},
"throughput": {
"unit": "samples/s",
"value": 136.59720758066777
},
"energy": {
"unit": "kWh",
"cpu": 8.115319032517691e-08,
"ram": 4.426606054076884e-08,
"gpu": 1.5585235446257967e-07,
"total": 2.812716053285254e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3555282.4425060586
}
}
}
}