IlyasMoutawwakil's picture
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
a07835b verified
raw
history blame
12.2 kB
{
"config": {
"name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.4.0+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": 66697.25696,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.220-209.869.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": "4.44.0",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.0",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 787.894272,
"max_global_vram": 1185.415168,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 499.374592
},
"latency": {
"unit": "s",
"count": 1,
"total": 7.4492529296875,
"mean": 7.4492529296875,
"stdev": 0.0,
"p50": 7.4492529296875,
"p90": 7.4492529296875,
"p95": 7.4492529296875,
"p99": 7.4492529296875,
"values": [
7.4492529296875
]
},
"throughput": null,
"energy": {
"unit": "kWh",
"cpu": 1.0661731923607852e-06,
"ram": 5.675092877226037e-07,
"gpu": 1.602223504000317e-06,
"total": 3.235905984083706e-06
},
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1077.583872,
"max_global_vram": 1195.900928,
"max_process_vram": 0.0,
"max_reserved": 555.74528,
"max_allocated": 508.993024
},
"latency": {
"unit": "s",
"count": 147,
"total": 0.9997752003669739,
"mean": 0.006801191839231115,
"stdev": 0.00035212494367062373,
"p50": 0.006779903888702392,
"p90": 0.006891110420227051,
"p95": 0.00700579833984375,
"p99": 0.0084855806159973,
"values": [
0.00971571159362793,
0.009312255859375,
0.007262207984924316,
0.007009280204772949,
0.007172095775604248,
0.007515135765075683,
0.006605823993682861,
0.006435840129852295,
0.006503424167633057,
0.00652288007736206,
0.006496255874633789,
0.006512639999389648,
0.00653715181350708,
0.0065054078102111815,
0.006524928092956543,
0.0070767998695373535,
0.006605855941772461,
0.006492159843444824,
0.006475808143615723,
0.0067010560035705566,
0.006508543968200684,
0.006491136074066162,
0.006520832061767578,
0.006504447937011719,
0.006464511871337891,
0.006626304149627686,
0.006738944053649902,
0.006467584133148193,
0.006468607902526856,
0.006469632148742676,
0.006429696083068847,
0.006481919765472412,
0.006937600135803222,
0.0068249602317810056,
0.00676966381072998,
0.006779903888702392,
0.0067645440101623535,
0.00674508810043335,
0.006782976150512696,
0.006740960121154785,
0.006945792198181152,
0.006754303932189941,
0.0067901120185852055,
0.006713344097137451,
0.00679423999786377,
0.006791232109069824,
0.006773759841918945,
0.006774784088134766,
0.006766592025756836,
0.006760447978973389,
0.006813695907592773,
0.006755328178405762,
0.006776832103729248,
0.006748159885406494,
0.006778880119323731,
0.006782976150512696,
0.006751232147216797,
0.0067686400413513184,
0.006800384044647217,
0.006759391784667969,
0.006785024166107178,
0.006770688056945801,
0.0067758078575134275,
0.006743040084838867,
0.006767615795135498,
0.006776832103729248,
0.006751232147216797,
0.006910975933074951,
0.006789120197296142,
0.006763519763946534,
0.006751232147216797,
0.006747136116027832,
0.006773759841918945,
0.006740992069244385,
0.00674508810043335,
0.006758399963378906,
0.006763519763946534,
0.006779903888702392,
0.006754303932189941,
0.006754303932189941,
0.006792191982269287,
0.006759424209594727,
0.006755328178405762,
0.0067420158386230465,
0.006770688056945801,
0.00678604793548584,
0.006754303932189941,
0.006767615795135498,
0.006793216228485107,
0.006874112129211426,
0.006781983852386475,
0.0067675838470458985,
0.006819839954376221,
0.0067840638160705565,
0.006788095951080322,
0.00678604793548584,
0.006772736072540283,
0.006783999919891357,
0.006782976150512696,
0.006825984001159668,
0.006880256175994873,
0.007000063896179199,
0.006913023948669434,
0.00687820816040039,
0.006899712085723877,
0.006870016098022461,
0.006881279945373535,
0.006784031867980957,
0.006820864200592041,
0.006816768169403077,
0.006792128086090088,
0.0068853759765625,
0.006821887969970703,
0.006804512023925781,
0.006803455829620361,
0.006812672138214112,
0.006807551860809326,
0.006811647891998291,
0.006823935985565186,
0.0068249602317810056,
0.006979584217071533,
0.006766592025756836,
0.006800384044647217,
0.006796288013458252,
0.006763519763946534,
0.0067010560035705566,
0.006680575847625733,
0.006657023906707763,
0.006687744140625,
0.006779903888702392,
0.006806528091430664,
0.0068321280479431154,
0.006803455829620361,
0.006863935947418213,
0.006781951904296875,
0.007008255958557129,
0.006789120197296142,
0.006809599876403808,
0.006808576107025147,
0.0068055038452148435,
0.006838272094726563,
0.0068321280479431154,
0.0068321280479431154,
0.006818816184997558,
0.006815743923187256,
0.00679423999786377,
0.0067983360290527345
]
},
"throughput": {
"unit": "samples/s",
"value": 147.0330529763518
},
"energy": {
"unit": "kWh",
"cpu": 7.700848735569603e-08,
"ram": 4.210524774954436e-08,
"gpu": 1.3937962088311895e-07,
"total": 2.584933559883593e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3868571.3842681237
}
}
}
}