IlyasMoutawwakil's picture
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
2be30b2 verified
raw
history blame
13 kB
{
"config": {
"name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.225-213.878.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": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.1",
"transformers_commit": null,
"accelerate_version": "0.34.2",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 802.639872,
"max_global_vram": 1192.7552,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.37152
},
"latency": {
"unit": "s",
"values": [
0.1995653076171875
],
"count": 1,
"total": 0.1995653076171875,
"mean": 0.1995653076171875,
"p50": 0.1995653076171875,
"p90": 0.1995653076171875,
"p95": 0.1995653076171875,
"p99": 0.1995653076171875,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1089.142784,
"max_global_vram": 1203.24096,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 509.03808
},
"latency": {
"unit": "s",
"values": [
0.006115327835083008,
0.005958655834197998,
0.00586240005493164,
0.005938111782073974,
0.005893119812011719,
0.005896192073822021,
0.005847008228302002,
0.005843967914581299,
0.005856256008148194,
0.005839871883392334,
0.005888000011444092,
0.005848063945770264,
0.005871647834777832,
0.005830656051635743,
0.005846015930175781,
0.005831679821014404,
0.005831679821014404,
0.00582038402557373,
0.0058204798698425295,
0.005811168193817139,
0.005876736164093017,
0.005823488235473633,
0.005835775852203369,
0.0058419198989868165,
0.005833727836608887,
0.005841951847076416,
0.005844992160797119,
0.0058418879508972165,
0.006011903762817383,
0.005929984092712402,
0.0058726401329040525,
0.00587059211730957,
0.005866496086120605,
0.005882880210876465,
0.0058429441452026365,
0.0058757119178771975,
0.005857279777526855,
0.005865471839904785,
0.005836800098419189,
0.005903359889984131,
0.005817344188690185,
0.005847040176391601,
0.0058429441452026365,
0.005953536033630371,
0.005844992160797119,
0.005867519855499268,
0.005881855964660645,
0.005854207992553711,
0.0058419198989868165,
0.005857279777526855,
0.005853184223175049,
0.005859327793121338,
0.00587775993347168,
0.005843967914581299,
0.005851136207580566,
0.005819392204284668,
0.005865471839904785,
0.005859327793121338,
0.005848063945770264,
0.005854207992553711,
0.005823488235473633,
0.005834752082824707,
0.005835775852203369,
0.005824512004852295,
0.005705728054046631,
0.00573747205734253,
0.00568012809753418,
0.005751808166503906,
0.005681151866912842,
0.0057487359046936035,
0.005727231979370117,
0.005708799839019775,
0.00572211217880249,
0.0057292799949646,
0.005708799839019775,
0.005687295913696289,
0.005690368175506591,
0.00589625597000122,
0.005834752082824707,
0.005835743904113769,
0.005760000228881836,
0.005725183963775635,
0.005708799839019775,
0.0057292799949646,
0.005728256225585937,
0.005752831935882568,
0.005715968132019043,
0.005706751823425293,
0.005691391944885254,
0.005705728054046631,
0.0057487359046936035,
0.005696512222290039,
0.005723135948181152,
0.005687295913696289,
0.005706783771514893,
0.005727231979370117,
0.00572108793258667,
0.0057497601509094234,
0.005708799839019775,
0.005981184005737304,
0.00588595199584961,
0.005945343971252442,
0.006012928009033203,
0.005958655834197998,
0.00588595199584961,
0.00602623987197876,
0.00586240005493164,
0.005949440002441406,
0.005947391986846923,
0.005899263858795166,
0.005829631805419922,
0.005835775852203369,
0.00586137580871582,
0.005845983982086181,
0.005852159976959229,
0.0058388481140136715,
0.005865471839904785,
0.005855231761932373,
0.005854207992553711,
0.005847040176391601,
0.005920703887939453,
0.005847040176391601,
0.005894144058227539,
0.005863423824310303,
0.005864448070526123,
0.005815296173095703,
0.005876800060272217,
0.005816287994384765,
0.005804031848907471,
0.005832736015319824,
0.005825535774230957,
0.005840896129608154,
0.005824448108673096,
0.005840896129608154,
0.0058419198989868165,
0.0058787841796875,
0.005949440002441406,
0.005863423824310303,
0.005868544101715088,
0.005920767784118652,
0.00586240005493164,
0.005897215843200684,
0.005810175895690918,
0.0058726401329040525,
0.005831679821014404,
0.005844992160797119,
0.0058388481140136715,
0.005814271926879883,
0.005826560020446778,
0.005840896129608154,
0.00582041597366333,
0.005826560020446778,
0.005843967914581299,
0.005954527854919433,
0.005866496086120605,
0.0057825279235839844,
0.005709824085235596,
0.005690368175506591,
0.005702655792236328,
0.005753856182098388,
0.00568828821182251,
0.005732351779937744,
0.005987328052520752,
0.005915647983551026,
0.005851136207580566,
0.005846015930175781,
0.005824512004852295,
0.005925888061523437,
0.0058091521263122555,
0.005889984130859375,
0.0058122239112854005
],
"count": 171,
"total": 0.9975088944435115,
"mean": 0.0058333853476228775,
"p50": 0.0058429441452026365,
"p90": 0.005920767784118652,
"p95": 0.005954031944274902,
"p99": 0.00601692156791687,
"stdev": 7.703287796548971e-05,
"stdev_": 1.3205518472541995
},
"throughput": {
"unit": "samples/s",
"value": 171.42704285899836
},
"energy": {
"unit": "kWh",
"cpu": 6.758481356928815e-08,
"ram": 3.69201871468406e-08,
"gpu": 1.3655313954545446e-07,
"total": 2.410581402615832e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4148376.8144683037
}
}
}
}