IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
766df33 verified
raw
history blame
12.4 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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-5.10.224-212.876.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": "4.44.2",
"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": "0.12.0",
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 799.1296,
"max_global_vram": 1192.7552,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.97553564453125,
"mean": 7.97553564453125,
"stdev": 0.0,
"p50": 7.97553564453125,
"p90": 7.97553564453125,
"p95": 7.97553564453125,
"p99": 7.97553564453125,
"values": [
7.97553564453125
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 2.4981868333338437e-06,
"ram": 1.3492345056710033e-06,
"gpu": 3.463891659999732e-06,
"total": 7.311312999004579e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1089.531904,
"max_global_vram": 1203.24096,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 152,
"total": 1.0003816938400272,
"mean": 0.006581458512105439,
"stdev": 0.00015510952199519098,
"p50": 0.006542336225509643,
"p90": 0.00678758397102356,
"p95": 0.006850494503974914,
"p99": 0.007031941146850586,
"values": [
0.007013376235961914,
0.006872064113616944,
0.0068986878395080565,
0.006788095951080322,
0.006832064151763916,
0.006867936134338379,
0.007624703884124756,
0.006509568214416504,
0.006644703865051269,
0.006659071922302246,
0.006577184200286865,
0.006717408180236816,
0.006586368083953857,
0.0065903358459472655,
0.006529024124145508,
0.006496255874633789,
0.0064737281799316405,
0.00648089599609375,
0.0064776320457458495,
0.006450175762176514,
0.006537248134613037,
0.0064336638450622555,
0.006494207859039307,
0.006549503803253174,
0.006429696083068847,
0.006533120155334473,
0.006469632148742676,
0.006518784046173095,
0.006530079841613769,
0.006421504020690918,
0.0064839677810668945,
0.0064143362045288085,
0.006430655956268311,
0.0065064959526062015,
0.006496223926544189,
0.006466559886932373,
0.006508543968200684,
0.00652288007736206,
0.006398816108703614,
0.006475840091705322,
0.006428671836853027,
0.0064245758056640625,
0.006518784046173095,
0.006437888145446777,
0.006554624080657959,
0.006481919765472412,
0.006474751949310303,
0.006515711784362793,
0.00643071985244751,
0.006502399921417237,
0.006490111827850342,
0.006491136074066162,
0.0065443840026855465,
0.00642252779006958,
0.0064982399940490725,
0.0064737281799316405,
0.006523903846740723,
0.006638591766357422,
0.0066375679969787596,
0.006659071922302246,
0.0069253120422363285,
0.00683622407913208,
0.006795199871063232,
0.007051263809204102,
0.006795263767242431,
0.006670335769653321,
0.006650879859924317,
0.00672051191329956,
0.006699071884155273,
0.006677504062652588,
0.0066078720092773435,
0.006639679908752441,
0.006605823993682861,
0.006554624080657959,
0.006606847763061524,
0.006398975849151611,
0.006489088058471679,
0.006442944049835205,
0.00643993616104126,
0.006574079990386963,
0.006416384220123291,
0.006537087917327881,
0.006494207859039307,
0.006504447937011719,
0.006534143924713135,
0.0064542717933654785,
0.006486015796661377,
0.00648089599609375,
0.006449151992797852,
0.006495232105255127,
0.00647276782989502,
0.006432767868041992,
0.006478847980499268,
0.006585343837738037,
0.00643891191482544,
0.006466559886932373,
0.006486015796661377,
0.006429696083068847,
0.006467584133148193,
0.006435840129852295,
0.00657203197479248,
0.006582272052764892,
0.0065413122177124024,
0.006782976150512696,
0.006814720153808594,
0.006659071922302246,
0.006642687797546387,
0.006535168170928955,
0.006594560146331787,
0.006555744171142578,
0.006598656177520752,
0.006560768127441406,
0.006633471965789795,
0.006999040126800537,
0.006675456047058105,
0.006706175804138184,
0.006790175914764405,
0.006583295822143555,
0.006656000137329102,
0.006635519981384277,
0.006652927875518798,
0.0066641921997070315,
0.006589439868927002,
0.006576096057891846,
0.006562816143035889,
0.006684671878814697,
0.00658131217956543,
0.006592512130737305,
0.006562816143035889,
0.006485119819641113,
0.006631423950195312,
0.0067338237762451176,
0.006391808032989502,
0.00658739185333252,
0.006526976108551025,
0.006543360233306885,
0.006504447937011719,
0.0065155520439147945,
0.00658022403717041,
0.006527999877929688,
0.0067338237762451176,
0.00653107213973999,
0.006711296081542969,
0.006532095909118653,
0.00653004789352417,
0.006573056221008301,
0.006489088058471679,
0.006799359798431396,
0.006595583915710449,
0.00658022403717041,
0.00655456018447876,
0.006549503803253174
]
},
"throughput": {
"unit": "samples/s",
"value": 151.94200467277508
},
"energy": {
"unit": "kWh",
"cpu": 7.430849059896143e-08,
"ram": 4.060615357119297e-08,
"gpu": 1.408681682499996e-07,
"total": 2.55782812420154e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3909566.833432811
}
}
}
}