IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
faaa919 verified
raw
history blame
12.2 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": "0.2.1",
"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": 949.321728,
"max_global_vram": 1047.003136,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 253.912576
},
"latency": {
"unit": "s",
"count": 176,
"total": 0.9953190054893488,
"mean": 0.005655221622098576,
"stdev": 0.0003270059594058411,
"p50": 0.005609983921051025,
"p90": 0.005902335882186889,
"p95": 0.005966096043586731,
"p99": 0.0073218559026718135,
"values": [
0.006253632068634033,
0.0058787841796875,
0.005966911792755127,
0.0059658241271972655,
0.005933055877685547,
0.005917695999145508,
0.0059248957633972164,
0.005903359889984131,
0.00591871976852417,
0.005896192073822021,
0.005917727947235107,
0.005879871845245362,
0.005855167865753174,
0.0057825279235839844,
0.0055316481590271,
0.005484543800354004,
0.005396480083465576,
0.005363743782043457,
0.0053043198585510255,
0.005380095958709717,
0.005458943843841553,
0.005449728012084961,
0.005534719944000244,
0.005538879871368408,
0.005543935775756836,
0.006048736095428467,
0.005817344188690185,
0.005852159976959229,
0.007856128215789794,
0.007460864067077637,
0.007275519847869873,
0.006346752166748047,
0.006064127922058105,
0.00582144021987915,
0.005815296173095703,
0.005811200141906738,
0.005795839786529541,
0.0058388481140136715,
0.005829631805419922,
0.005857279777526855,
0.005763072013854981,
0.005653503894805908,
0.005603328227996827,
0.00572108793258667,
0.005708767890930176,
0.005754879951477051,
0.005693439960479736,
0.005727231979370117,
0.0057712640762329105,
0.005823488235473633,
0.005830656051635743,
0.005837823867797852,
0.005606400012969971,
0.005534719944000244,
0.005586944103240967,
0.005909503936767578,
0.0058091521263122555,
0.0057415680885314945,
0.005751808166503906,
0.00556441593170166,
0.0055285758972167965,
0.005513216018676758,
0.0054917120933532714,
0.005757952213287353,
0.00578656005859375,
0.00566374397277832,
0.00576204776763916,
0.005895167827606201,
0.005736447811126709,
0.005829631805419922,
0.006046720027923584,
0.00588595199584961,
0.005696512222290039,
0.005718016147613526,
0.00577942419052124,
0.005808127880096436,
0.005724160194396972,
0.005788671970367432,
0.005709824085235596,
0.005751808166503906,
0.005761023998260498,
0.005742591857910156,
0.005901311874389649,
0.0058726401329040525,
0.005890048027038574,
0.005848063945770264,
0.00587775993347168,
0.005795839786529541,
0.005830656051635743,
0.005795839786529541,
0.005795839786529541,
0.005736447811126709,
0.00586956787109375,
0.005681151866912842,
0.005652480125427246,
0.0055808000564575196,
0.005411839962005615,
0.005696512222290039,
0.005689343929290771,
0.005518335819244385,
0.005400576114654541,
0.005371903896331787,
0.005420032024383545,
0.005439487934112549,
0.005795839786529541,
0.005755904197692871,
0.005635072231292724,
0.005642176151275635,
0.0056555519104003905,
0.005769216060638428,
0.005909503936767578,
0.005864448070526123,
0.00562278413772583,
0.005467135906219483,
0.005407743930816651,
0.005429247856140137,
0.005370880126953125,
0.005451776027679443,
0.005390336036682129,
0.005380095958709717,
0.005439487934112549,
0.0053760638236999515,
0.00542416000366211,
0.0054271998405456545,
0.005414912223815918,
0.005401599884033203,
0.005436416149139404,
0.005409759998321533,
0.005442527770996094,
0.005403647899627686,
0.005432320117950439,
0.005441535949707031,
0.005384191989898681,
0.005403647899627686,
0.005395455837249756,
0.005379072189331055,
0.005379072189331055,
0.005411839962005615,
0.005380095958709717,
0.0053975038528442385,
0.005399551868438721,
0.00561356782913208,
0.005420032024383545,
0.005403647899627686,
0.005400576114654541,
0.005413887977600097,
0.0053678078651428224,
0.005407743930816651,
0.005401663780212403,
0.005392416000366211,
0.005405695915222168,
0.005400576114654541,
0.005411839962005615,
0.005428192138671875,
0.005380095958709717,
0.0053944640159606936,
0.005400576114654541,
0.0053821439743042,
0.00541593599319458,
0.005431295871734619,
0.0053821439743042,
0.0053944640159606936,
0.005391359806060791,
0.00537395191192627,
0.005534719944000244,
0.005453824043273926,
0.005406720161437988,
0.005410816192626953,
0.005377024173736572,
0.00552345609664917,
0.005534719944000244,
0.005494783878326416,
0.005481472015380859,
0.005433343887329102,
0.005402624130249023,
0.005403647899627686
]
},
"throughput": {
"unit": "samples/s",
"value": 176.827729631737
},
"energy": {
"unit": "kWh",
"cpu": 6.466206649075384e-08,
"ram": 3.535142966385414e-08,
"gpu": 1.311987764565227e-07,
"total": 2.3121227261113067e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4325029.933345586
}
}
}
}