IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
03d2e5d verified
raw
history blame
9.59 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": "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": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.236096,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-84-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": "0.2.0",
"optimum_benchmark_commit": "77e62a3eef699bce70248c56d35c703369938b85",
"transformers_version": "4.40.2",
"transformers_commit": null,
"accelerate_version": "0.30.1",
"accelerate_commit": null,
"diffusers_version": "0.27.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1004.27776,
"max_global_vram": 2524.13952,
"max_process_vram": 234889.601024,
"max_reserved": 555.74528,
"max_allocated": 499.507712
},
"latency": {
"unit": "s",
"count": 119,
"total": 0.9971429357528688,
"mean": 0.008379352401284611,
"stdev": 0.00014867369509974292,
"p50": 0.00833918285369873,
"p90": 0.008601231002807616,
"p95": 0.008683071422576905,
"p99": 0.008851473579406738,
"values": [
0.008377902984619141,
0.008513102531433106,
0.008619181632995606,
0.008851502418518066,
0.008856142044067383,
0.00885134220123291,
0.008770221710205079,
0.008745742797851562,
0.00865134334564209,
0.008478862762451172,
0.00831406307220459,
0.008259662628173828,
0.008169902801513671,
0.008204303741455077,
0.008252622604370118,
0.008271822929382324,
0.008355982780456543,
0.008231022834777831,
0.008211183547973632,
0.008210703849792481,
0.008183503150939941,
0.008257102966308594,
0.008372782707214355,
0.008392783164978027,
0.008378703117370606,
0.008299983024597168,
0.008309103012084961,
0.008291023254394531,
0.00824846363067627,
0.008254222869873047,
0.008265262603759765,
0.008275342941284179,
0.008270222663879395,
0.008200943946838379,
0.008251023292541505,
0.008500622749328614,
0.00871518325805664,
0.008587501525878906,
0.008372142791748046,
0.008335022926330567,
0.008419663429260253,
0.008407342910766601,
0.008464462280273437,
0.008349263191223144,
0.008362703323364258,
0.008425422668457031,
0.008335823059082032,
0.008298063278198242,
0.0083079833984375,
0.008271823883056641,
0.008271183013916016,
0.008222542762756347,
0.008345582962036132,
0.008657261848449707,
0.008615662574768066,
0.00854238224029541,
0.00852910327911377,
0.008604303359985351,
0.008600462913513183,
0.008583023071289062,
0.008521422386169434,
0.008487342834472656,
0.008447503089904785,
0.008442863464355469,
0.008397262573242187,
0.008371183395385742,
0.008324624061584473,
0.008452942848205566,
0.00829070281982422,
0.00836158275604248,
0.008292304039001466,
0.008296943664550782,
0.008287663459777833,
0.008286063194274901,
0.008291502952575684,
0.008302702903747558,
0.008230703353881836,
0.008280464172363281,
0.008679503440856934,
0.00856478214263916,
0.008459342956542968,
0.008452942848205566,
0.008383342742919922,
0.008404143333435058,
0.008374703407287598,
0.008366063117980957,
0.008305583000183105,
0.008340462684631348,
0.008340303421020507,
0.00833918285369873,
0.008358222961425781,
0.008422542572021484,
0.008503022193908692,
0.008421262741088868,
0.008412623405456543,
0.008379982948303224,
0.008424622535705566,
0.008307502746582032,
0.008388463020324708,
0.00826606273651123,
0.008435982704162598,
0.008307502746582032,
0.008298863410949707,
0.008284462928771972,
0.00822350311279297,
0.008291342735290527,
0.008311503410339356,
0.00826638412475586,
0.008241743087768554,
0.008207822799682617,
0.008289743423461914,
0.008249423027038575,
0.008271822929382324,
0.008269103050231933,
0.00826174259185791,
0.008273102760314942,
0.008263023376464843,
0.008287503242492675,
0.008276304244995118
]
},
"throughput": {
"unit": "samples/s",
"value": 119.34096480375898
},
"energy": null,
"efficiency": null
}
}
}