IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
4180af5 verified
raw
history blame
10.5 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.2.2+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"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": 1008.959488,
"max_global_vram": 2522.836992,
"max_process_vram": 226898.518016,
"max_reserved": 555.74528,
"max_allocated": 499.443712
},
"latency": {
"unit": "s",
"count": 139,
"total": 0.9981516461372376,
"mean": 0.0071809470945125,
"stdev": 0.0003183605302359094,
"p50": 0.007091347217559814,
"p90": 0.007381938934326172,
"p95": 0.007519570779800414,
"p99": 0.007941451139450073,
"values": [
0.007919826030731202,
0.007084307193756104,
0.007131347179412842,
0.007205427169799805,
0.007233266830444336,
0.007191027164459228,
0.007468945980072021,
0.007454866886138916,
0.007448145866394043,
0.007505746841430664,
0.00739422607421875,
0.007310067176818848,
0.007332306861877441,
0.0072875070571899415,
0.007303826808929444,
0.007191826820373535,
0.00722318696975708,
0.0071572670936584475,
0.0071598272323608395,
0.007091347217559814,
0.0070843081474304195,
0.007174868106842041,
0.007135988235473633,
0.007057907104492188,
0.007338547229766846,
0.007123188018798828,
0.007170707225799561,
0.007203987121582031,
0.00716206693649292,
0.007123666763305664,
0.0071027069091796876,
0.007140787124633789,
0.007090867042541504,
0.007150866985321045,
0.007123666763305664,
0.007299187183380127,
0.007139347076416016,
0.007074546813964844,
0.00709486722946167,
0.007080627918243408,
0.007022387981414795,
0.007189427852630615,
0.010238061904907227,
0.007643986225128174,
0.007075346946716308,
0.007070868015289306,
0.007056628227233887,
0.007053427219390869,
0.007045746803283692,
0.0070311870574951175,
0.006975828170776367,
0.007052146911621094,
0.00706318712234497,
0.007262227058410645,
0.007053906917572021,
0.007051348209381103,
0.007378867149353027,
0.007138707160949707,
0.007047347068786621,
0.007018708229064942,
0.007068787097930908,
0.006990386962890625,
0.007085906982421875,
0.007226867198944092,
0.007213266849517822,
0.007223027229309082,
0.0070721468925476075,
0.007887666225433349,
0.007074387073516846,
0.006992147922515869,
0.007117907047271729,
0.007012466907501221,
0.007091506958007813,
0.007059826850891114,
0.007017268180847168,
0.00707470703125,
0.007002226829528809,
0.007013906955718994,
0.007130387783050537,
0.007081266880035401,
0.006995666980743409,
0.007040787220001221,
0.007078708171844483,
0.007096628189086914,
0.007026226997375489,
0.0070630269050598144,
0.007061906814575195,
0.007101906776428223,
0.007059668064117432,
0.007103346824645996,
0.007100626945495605,
0.007048787117004395,
0.007042226791381836,
0.007047028064727783,
0.007106067180633545,
0.007049586772918701,
0.007069427013397217,
0.007051667213439941,
0.007094868183135986,
0.007091667175292969,
0.007081747055053711,
0.007106866836547852,
0.007089587211608886,
0.007068147182464599,
0.006969107151031494,
0.007127027988433838,
0.007092628002166748,
0.007051667213439941,
0.007000786781311035,
0.0069948678016662595,
0.007072627067565918,
0.0070790271759033204,
0.007019987106323242,
0.007085426807403565,
0.007112627029418945,
0.0070659079551696775,
0.007070547103881836,
0.00706270694732666,
0.007078707218170166,
0.0070316681861877445,
0.007048947811126709,
0.007074546813964844,
0.007846705913543701,
0.007954705238342285,
0.0077140660285949705,
0.007284467220306397,
0.007434707164764404,
0.007435986042022705,
0.007326547145843506,
0.007276947021484375,
0.007210066795349121,
0.0072801470756530765,
0.007296466827392578,
0.007345586776733398,
0.007026226997375489,
0.00707710599899292,
0.0069875078201293945,
0.007039506912231445,
0.0070275068283081055
]
},
"throughput": {
"unit": "samples/s",
"value": 139.2573969475663
},
"energy": null,
"efficiency": null
}
}
}