IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
6196c02 verified
raw
history blame
10.4 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": "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": 908.070912,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.039104
},
"latency": {
"unit": "s",
"count": 131,
"total": 1.002426496505737,
"mean": 0.007652110660349139,
"stdev": 0.0004649330239680345,
"p50": 0.007493631839752197,
"p90": 0.007922688007354736,
"p95": 0.008070655822753906,
"p99": 0.010048614788055408,
"values": [
0.010891263961791992,
0.010326016426086425,
0.009401344299316406,
0.00806604766845703,
0.008023039817810058,
0.007959551811218261,
0.007816192150115966,
0.007827455997467042,
0.008075263977050781,
0.00790937614440918,
0.00779366397857666,
0.007833600044250488,
0.00809881591796875,
0.007887872219085693,
0.007821311950683594,
0.007790592193603516,
0.007816192150115966,
0.007872543811798095,
0.007862271785736084,
0.007947264194488525,
0.00790015983581543,
0.007861248016357422,
0.007873536109924317,
0.007805952072143555,
0.007769087791442871,
0.007788544178009033,
0.007774208068847656,
0.007792640209197998,
0.007455743789672851,
0.0074629120826721195,
0.0075642881393432615,
0.007523327827453613,
0.007513088226318359,
0.007481344223022461,
0.007464960098266602,
0.007527423858642578,
0.0074629120826721195,
0.007493631839752197,
0.007392255783081054,
0.0074106879234313965,
0.00744652795791626,
0.007556096076965332,
0.007409664154052734,
0.00743936014175415,
0.007426047801971435,
0.007388160228729248,
0.007452672004699707,
0.008489983558654785,
0.007890944004058837,
0.007887872219085693,
0.007905280113220215,
0.007831552028656007,
0.007863296031951903,
0.007922688007354736,
0.00773529577255249,
0.007418879985809326,
0.007331840038299561,
0.007226367950439453,
0.007370751857757568,
0.007346176147460938,
0.007154687881469727,
0.007078911781311035,
0.007165952205657959,
0.00710969591140747,
0.007180287837982178,
0.008287232398986816,
0.00790015983581543,
0.00790015983581543,
0.00793497610092163,
0.007768064022064209,
0.007692287921905518,
0.007610367774963379,
0.007688191890716553,
0.007574560165405274,
0.007374847888946533,
0.007459839820861816,
0.007508992195129394,
0.007457791805267334,
0.007461887836456299,
0.007436287879943848,
0.007436287879943848,
0.007469056129455566,
0.007448575973510742,
0.007498752117156982,
0.007465983867645264,
0.00753868818283081,
0.007458816051483155,
0.0074711041450500485,
0.007449600219726562,
0.007478271961212158,
0.007465983867645264,
0.007506944179534912,
0.007639039993286132,
0.007491583824157715,
0.007485439777374267,
0.007457791805267334,
0.007489535808563232,
0.007482367992401123,
0.0075642881393432615,
0.007476255893707275,
0.0074629120826721195,
0.00744652795791626,
0.007479296207427978,
0.007449600219726562,
0.0074997758865356446,
0.007497727870941162,
0.0075632638931274416,
0.007521279811859131,
0.007484416007995606,
0.007484416007995606,
0.00744652795791626,
0.007419904232025146,
0.007629824161529541,
0.007479296207427978,
0.007445504188537597,
0.007453695774078369,
0.007445504188537597,
0.00744649600982666,
0.007546879768371582,
0.0074403839111328125,
0.00743936014175415,
0.007456768035888672,
0.00743833589553833,
0.007473152160644531,
0.007475200176239013,
0.007486464023590088,
0.007937024116516114,
0.007502848148345947,
0.007416831970214844,
0.00749567985534668,
0.007464960098266602
]
},
"throughput": {
"unit": "samples/s",
"value": 130.6828984036639
},
"energy": {
"unit": "kWh",
"cpu": 8.531332992725997e-08,
"ram": 4.66439300653709e-08,
"gpu": 1.6198054525180163e-07,
"total": 2.939378052444325e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3402080.24336448
}
}
}
}