IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
79bc832 verified
raw
history blame
12.6 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",
"library": "timm",
"model": "timm/resnet50.a1_in1k",
"processor": "timm/resnet50.a1_in1k",
"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": 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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 949.116928,
"max_global_vram": 1047.003136,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 253.912576
},
"latency": {
"unit": "s",
"count": 185,
"total": 0.9957353234291078,
"mean": 0.005382353099616799,
"stdev": 0.00036354319191445517,
"p50": 0.005568511962890625,
"p90": 0.0057562943458557125,
"p95": 0.0058013694763183596,
"p99": 0.005847366409301758,
"values": [
0.0060375361442565915,
0.005776383876800537,
0.005804031848907471,
0.005818367958068848,
0.005831679821014404,
0.005745664119720459,
0.005880832195281982,
0.005731328010559082,
0.005776415824890137,
0.005757919788360596,
0.005743616104125977,
0.005752831935882568,
0.005693439960479736,
0.005608448028564453,
0.005687295913696289,
0.0057415361404418944,
0.005608448028564453,
0.005596159934997558,
0.0054876160621643065,
0.005568511962890625,
0.0055808000564575196,
0.0055511040687561035,
0.005753791809082031,
0.005708767890930176,
0.005790719985961914,
0.0057784318923950195,
0.005649407863616943,
0.00568012809753418,
0.005615615844726562,
0.005654528141021729,
0.005747712135314941,
0.005637119770050049,
0.0056514558792114256,
0.0057066879272460935,
0.005702655792236328,
0.005708799839019775,
0.005642240047454834,
0.005641215801239013,
0.005736480236053467,
0.005775360107421875,
0.005750783920288086,
0.005691391944885254,
0.005482463836669922,
0.005574656009674072,
0.0055848960876464845,
0.005604320049285889,
0.005702720165252685,
0.005536767959594726,
0.0055797758102417,
0.005738495826721191,
0.005570559978485107,
0.005667776107788086,
0.005673984050750733,
0.005840991973876953,
0.005742591857910156,
0.005751808166503906,
0.005743616104125977,
0.005730303764343261,
0.005617663860321045,
0.005611487865447998,
0.00576204776763916,
0.005647359848022461,
0.0058388481140136715,
0.00563097620010376,
0.005753856182098388,
0.005728256225585937,
0.005567488193511963,
0.005600255966186523,
0.005590015888214111,
0.005694464206695556,
0.005603328227996827,
0.005693439960479736,
0.005725183963775635,
0.005656576156616211,
0.005551199913024902,
0.005577727794647217,
0.005594143867492676,
0.005637119770050049,
0.005649407863616943,
0.0056145920753479005,
0.00562275218963623,
0.005643263816833496,
0.005617663860321045,
0.005695487976074219,
0.005730303764343261,
0.005825535774230957,
0.0057784318923950195,
0.0056739521026611325,
0.0057825279235839844,
0.005677055835723877,
0.005665791988372803,
0.005730303764343261,
0.005604351997375488,
0.005554175853729248,
0.005750783920288086,
0.005544928073883057,
0.005552127838134766,
0.005462016105651855,
0.00531660795211792,
0.005410816192626953,
0.005570559978485107,
0.005553152084350586,
0.005260287761688232,
0.0052705278396606445,
0.0052941122055053715,
0.00522649621963501,
0.005537792205810547,
0.005265408039093018,
0.005508096218109131,
0.005559296131134033,
0.005488639831542969,
0.005728256225585937,
0.005641215801239013,
0.005805056095123291,
0.005511168003082275,
0.005824512004852295,
0.005206016063690186,
0.005047296047210693,
0.00495411205291748,
0.004938591957092285,
0.004951039791107178,
0.004941823959350586,
0.004947999954223633,
0.004928512096405029,
0.004965375900268554,
0.004958208084106445,
0.004929567813873291,
0.0049387521743774416,
0.005005311965942383,
0.004965375900268554,
0.00501859188079834,
0.004964416027069092,
0.00501043176651001,
0.004964352130889893,
0.0049459199905395506,
0.0049192957878112795,
0.004876287937164306,
0.004897791862487793,
0.004891647815704346,
0.004927487850189209,
0.004921343803405762,
0.004914175987243652,
0.0049530878067016604,
0.004975615978240967,
0.004959231853485108,
0.004907008171081543,
0.004866047859191895,
0.004842495918273926,
0.004918272018432617,
0.0049090561866760255,
0.004910079956054687,
0.0049162240028381345,
0.004926464080810547,
0.0049090561866760255,
0.004834303855895996,
0.004848639965057373,
0.004899839878082276,
0.004930560111999512,
0.004921343803405762,
0.0049090561866760255,
0.004890624046325683,
0.004924416065216064,
0.004908031940460205,
0.004928512096405029,
0.004921343803405762,
0.0049162240028381345,
0.004936704158782959,
0.004917247772216797,
0.004888703823089599,
0.004884479999542236,
0.004924416065216064,
0.004926464080810547,
0.0049797120094299315,
0.004993023872375488,
0.0050094079971313476,
0.0049797120094299315,
0.00496127986907959,
0.004895711898803711,
0.0049428482055664065,
0.0048700480461120604,
0.004859903812408447,
0.004893695831298828,
0.004923327922821045,
0.004927487850189209,
0.0049079999923706055
]
},
"throughput": {
"unit": "samples/s",
"value": 185.79234425760657
},
"energy": {
"unit": "kWh",
"cpu": 6.237703138759763e-08,
"ram": 3.395356609666914e-08,
"gpu": 1.303505987539263e-07,
"total": 2.2668119623819304e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4411481.925255131
}
}
}
}