IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
de6e982 verified
raw
history blame
10.7 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_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": false,
"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 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 1,
"gpu_vram_mb": 68702699520,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.1",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 905.58464,
"max_global_vram": 841.764864,
"max_process_vram": 44807.573504,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.1981728515625,
"mean": 7.1981728515625,
"stdev": 0.0,
"p50": 7.1981728515625,
"p90": 7.1981728515625,
"p95": 7.1981728515625,
"p99": 7.1981728515625,
"values": [
7.1981728515625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1015.414784,
"max_global_vram": 898.269184,
"max_process_vram": 218894.667776,
"max_reserved": 555.74528,
"max_allocated": 499.5072
},
"latency": {
"unit": "s",
"count": 125,
"total": 0.9963846902847285,
"mean": 0.007971077522277832,
"stdev": 0.0007331559968759307,
"p50": 0.007840778827667236,
"p90": 0.008722056388854982,
"p95": 0.00900333595275879,
"p99": 0.009678912391662601,
"values": [
0.008753096580505371,
0.008942537307739258,
0.009018535614013673,
0.009047016143798828,
0.00908973503112793,
0.009133416175842285,
0.009071334838867188,
0.009851174354553223,
0.00875389575958252,
0.008851016044616699,
0.008799016952514649,
0.008846055984497071,
0.008675496101379394,
0.00845213794708252,
0.008345577239990234,
0.008319977760314942,
0.008330376625061035,
0.008364458084106446,
0.00835085678100586,
0.00847997760772705,
0.00836589813232422,
0.008303977966308594,
0.008316938400268554,
0.008310697555541991,
0.008345577239990234,
0.008294537544250488,
0.008319658279418945,
0.00830253791809082,
0.008283978462219238,
0.008259178161621094,
0.008320937156677246,
0.008278377532958984,
0.007942698955535888,
0.008075018882751465,
0.008315977096557617,
0.008304298400878906,
0.008298057556152344,
0.008298856735229492,
0.00833421802520752,
0.008318697929382324,
0.00783117914199829,
0.007840778827667236,
0.007843499183654784,
0.007860138893127441,
0.00790685796737671,
0.0077487797737121585,
0.007526059150695801,
0.0074809398651123045,
0.007532299995422364,
0.0075518198013305666,
0.0075018987655639646,
0.007574540138244629,
0.007522220134735107,
0.0073225398063659665,
0.007338860034942627,
0.007332780838012695,
0.007328781127929687,
0.007329100131988525,
0.007349100112915039,
0.00734749984741211,
0.007346701145172119,
0.007363979816436768,
0.007343180179595947,
0.007353579998016358,
0.00728718090057373,
0.0075513401031494145,
0.007344620227813721,
0.007328620910644531,
0.007329740047454834,
0.007349899768829346,
0.00729725980758667,
0.007347980976104737,
0.0073580598831176755,
0.007381740093231201,
0.007370059967041016,
0.00741726016998291,
0.013565724372863769,
0.006860140800476074,
0.007444139957427979,
0.007424620151519776,
0.007429259777069092,
0.007548460006713867,
0.007392139911651612,
0.007597899913787841,
0.007853418827056884,
0.007895978927612304,
0.007876139163970947,
0.00805965805053711,
0.008069578170776368,
0.008212298393249511,
0.00815181827545166,
0.008466697692871094,
0.008303017616271972,
0.008314698219299317,
0.008339177131652832,
0.008228938102722167,
0.008234857559204101,
0.007965578079223632,
0.007995338916778564,
0.0077575788497924805,
0.00777341890335083,
0.00776957893371582,
0.008112937927246093,
0.00833309841156006,
0.008306378364562989,
0.007726058959960937,
0.007640140056610107,
0.007686379909515381,
0.0076103792190551755,
0.0077166190147399906,
0.007756619930267334,
0.00777966022491455,
0.007792298793792725,
0.007614058971405029,
0.007431980133056641,
0.007464300155639649,
0.007458380222320557,
0.007469580173492431,
0.007443339824676514,
0.007457419872283936,
0.007420939922332764,
0.007431340217590332,
0.007448619842529297,
0.007426061153411865,
0.007421259880065918
]
},
"throughput": {
"unit": "samples/s",
"value": 125.45355345060524
},
"energy": null,
"efficiency": null
}
}
}