IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
8c612e2 verified
raw
history blame
12.5 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.3.0+cu121",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"model": "timm/resnet50.a1_in1k",
"library": "timm",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"no_weights": false,
"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": 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",
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.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": "0.2.0",
"optimum_benchmark_commit": null,
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 951.156736,
"max_global_vram": 1047.003136,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 253.912576
},
"latency": {
"unit": "s",
"count": 180,
"total": 0.9965194902420039,
"mean": 0.005536219390233358,
"stdev": 0.00021249530385449573,
"p50": 0.005560832023620605,
"p90": 0.005793279981613159,
"p95": 0.005850931167602539,
"p99": 0.006002271404266358,
"values": [
0.006081600189208985,
0.0059699521064758305,
0.005850111961364746,
0.005943295955657959,
0.005798943996429443,
0.005866496086120605,
0.005981184005737304,
0.0058009600639343266,
0.005746687889099121,
0.0057497601509094234,
0.005765120029449463,
0.005834752082824707,
0.005789696216583252,
0.005700607776641845,
0.0058419198989868165,
0.005797887802124023,
0.005817344188690185,
0.005673984050750733,
0.005746655941009522,
0.005609471797943116,
0.005755904197692871,
0.0057712640762329105,
0.005783552169799804,
0.006164480209350586,
0.0058716158866882326,
0.005879807949066162,
0.005693344116210938,
0.005810175895690918,
0.005723135948181152,
0.005620736122131348,
0.005638144016265869,
0.005788671970367432,
0.005657599925994873,
0.005643263816833496,
0.005882847785949707,
0.005665952205657959,
0.005689343929290771,
0.005642240047454834,
0.005624864101409912,
0.0056514558792114256,
0.005635072231292724,
0.0057116799354553225,
0.005619711875915527,
0.005650432109832764,
0.005429247856140137,
0.0054876160621643065,
0.005563392162322998,
0.005578752040863037,
0.005659647941589355,
0.005481472015380859,
0.005560319900512695,
0.005633024215698243,
0.005773312091827393,
0.005738495826721191,
0.005667840003967285,
0.005798848152160645,
0.005718016147613526,
0.005753856182098388,
0.005767168045043946,
0.005753856182098388,
0.005601280212402344,
0.005550079822540284,
0.005684224128723145,
0.005674943923950195,
0.005658720016479492,
0.005604351997375488,
0.005703680038452149,
0.00575600004196167,
0.0055285758972167965,
0.005483456134796142,
0.0055285758972167965,
0.005658656120300293,
0.005614463806152344,
0.0055101442337036136,
0.005675007820129394,
0.00573747205734253,
0.005776447772979736,
0.005628928184509278,
0.005568511962890625,
0.005656576156616211,
0.00561356782913208,
0.005561344146728516,
0.0054967679977417,
0.005482495784759522,
0.005602303981781006,
0.005607423782348633,
0.005654528141021729,
0.005761023998260498,
0.005710912227630615,
0.005784575939178467,
0.005684224128723145,
0.00573641586303711,
0.005703680038452149,
0.005792768001556397,
0.005681151866912842,
0.005650432109832764,
0.005533599853515625,
0.005577600002288819,
0.005602335929870606,
0.005453824043273926,
0.005511168003082275,
0.005470208168029785,
0.005359615802764893,
0.0055552000999450684,
0.005515168190002442,
0.005435391902923584,
0.00551526403427124,
0.005299200057983398,
0.005313471794128418,
0.005338208198547363,
0.005384191989898681,
0.005400576114654541,
0.005588992118835449,
0.0053647360801696775,
0.005505023956298828,
0.005485568046569824,
0.005640192031860352,
0.005530623912811279,
0.005277696132659912,
0.005275775909423828,
0.005299200057983398,
0.005243904113769531,
0.00531763219833374,
0.005377024173736572,
0.005436416149139404,
0.005252096176147461,
0.0053821439743042,
0.005272575855255127,
0.005294079780578613,
0.005371903896331787,
0.0052510080337524415,
0.005339168071746826,
0.005294079780578613,
0.00522547197341919,
0.005249023914337158,
0.005265408039093018,
0.005468160152435303,
0.00530944013595581,
0.005340159893035889,
0.00530841588973999,
0.0053012480735778805,
0.005331967830657959,
0.005294079780578613,
0.005280767917633057,
0.005312511920928955,
0.005222335815429687,
0.005227519989013672,
0.0052930560111999515,
0.005269343852996826,
0.005233759880065918,
0.005305344104766845,
0.005219327926635742,
0.005278719902038574,
0.005347328186035156,
0.0052971520423889164,
0.0052899842262268066,
0.0053340158462524415,
0.005269504070281982,
0.005288959980010987,
0.005351424217224121,
0.00530944013595581,
0.005305344104766845,
0.005336063861846924,
0.005292031764984131,
0.00522547197341919,
0.005305344104766845,
0.005270463943481445,
0.005220352172851562,
0.005571584224700928,
0.005303296089172363,
0.005307392120361328,
0.005340159893035889,
0.005243904113769531,
0.005259263992309571,
0.005329919815063477,
0.00526643180847168,
0.005349376201629639,
0.0053637118339538575,
0.005281792163848877,
0.005228544235229492
]
},
"throughput": {
"unit": "samples/s",
"value": 180.6286798829063
},
"energy": {
"unit": "kWh",
"cpu": 6.340379005487366e-08,
"ram": 3.458081680733774e-08,
"gpu": 1.3277640645744934e-07,
"total": 2.3076101331966076e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4333487.644270109
}
}
}
}