IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
e3db7fe verified
raw
history blame
11.8 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": {},
"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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 763.826176,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.408169921875,
"mean": 7.408169921875,
"stdev": 0.0,
"p50": 7.408169921875,
"p90": 7.408169921875,
"p95": 7.408169921875,
"p99": 7.408169921875,
"values": [
7.408169921875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 8.859253916665151e-07,
"ram": 4.693504693417744e-07,
"gpu": 1.7433347279998887e-06,
"total": 3.098610589008178e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 964.153344,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.038592
},
"latency": {
"unit": "s",
"count": 138,
"total": 1.0024035539627079,
"mean": 0.0072637938692949825,
"stdev": 0.00018445064897951318,
"p50": 0.007250944137573242,
"p90": 0.007534079933166504,
"p95": 0.0076551679134368895,
"p99": 0.007683154010772705,
"values": [
0.007753727912902832,
0.007662591934204102,
0.007689216136932373,
0.007659520149230957,
0.0076605439186096195,
0.007646207809448242,
0.007654399871826172,
0.00765337610244751,
0.007580671787261963,
0.007302080154418945,
0.007328767776489258,
0.007309311866760254,
0.007282688140869141,
0.007394303798675537,
0.007451648235321045,
0.007322624206542969,
0.007362559795379638,
0.007371776103973389,
0.007358463764190673,
0.007300096035003662,
0.007258111953735351,
0.007310336112976074,
0.0073175039291381834,
0.007330783843994141,
0.007326720237731933,
0.007353280067443848,
0.0073400321006774905,
0.0073471999168395995,
0.007300096035003662,
0.007269375801086426,
0.007327744007110596,
0.007329792022705078,
0.007208960056304932,
0.007173120021820068,
0.007250944137573242,
0.007265279769897461,
0.007243775844573975,
0.007288832187652588,
0.007305215835571289,
0.007326720237731933,
0.007351295948028564,
0.007358463764190673,
0.007373824119567871,
0.007514111995697022,
0.007581696033477783,
0.007592959880828858,
0.007662591934204102,
0.007629824161529541,
0.007284736156463623,
0.007314432144165039,
0.007319551944732666,
0.00724070405960083,
0.007256063938140869,
0.007279615879058838,
0.0072375679016113284,
0.007388160228729248,
0.007229375839233399,
0.007250944137573242,
0.007247871875762939,
0.007250944137573242,
0.00724070405960083,
0.007259136199951172,
0.007268352031707764,
0.007333888053894043,
0.0074035201072692874,
0.007371808052062988,
0.007309311866760254,
0.007372799873352051,
0.00729804801940918,
0.007320576190948487,
0.007316480159759522,
0.007234560012817383,
0.007243775844573975,
0.007248928070068359,
0.0072540159225463864,
0.007171072006225586,
0.007054336071014404,
0.0071485438346862796,
0.007217152118682861,
0.007001088142395019,
0.00689356803894043,
0.006892543792724609,
0.006977536201477051,
0.007357439994812012,
0.00744652795791626,
0.007385087966918945,
0.007445504188537597,
0.007672832012176513,
0.007314432144165039,
0.0071905279159545895,
0.007236608028411865,
0.00722431993484497,
0.007237631797790528,
0.007164927959442138,
0.007205887794494629,
0.0071905279159545895,
0.007231488227844239,
0.007205887794494629,
0.0071823358535766605,
0.007175168037414551,
0.007197696208953858,
0.007172063827514648,
0.007163904190063477,
0.007173120021820068,
0.007145472049713135,
0.007134208202362061,
0.007135231971740722,
0.007151616096496582,
0.007150591850280762,
0.007096288204193116,
0.00719155216217041,
0.007187456130981445,
0.007223296165466309,
0.007136256217956543,
0.007178239822387696,
0.0071833600997924804,
0.0071792640686035155,
0.007202816009521484,
0.00714137601852417,
0.007175168037414551,
0.007204864025115967,
0.007165952205657959,
0.007158783912658692,
0.0071157760620117185,
0.0071495680809020995,
0.007156735897064209,
0.007170048236846924,
0.0071792640686035155,
0.007158783912658692,
0.00689356803894043,
0.006879231929779053,
0.006897664070129395,
0.006871039867401123,
0.006884352207183838,
0.0068884482383728025,
0.006870016098022461,
0.0068689918518066405,
0.006889472007751465
]
},
"throughput": {
"unit": "samples/s",
"value": 137.66910487742945
},
"energy": {
"unit": "kWh",
"cpu": 8.719489930555627e-08,
"ram": 4.766417222569977e-08,
"gpu": 1.5942006217646838e-07,
"total": 2.9427913370772445e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3398134.2387435175
}
}
}
}