IlyasMoutawwakil's picture
Upload cuda_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark.json with huggingface_hub
2ceead0 verified
raw
history blame
12.6 kB
{
"config": {
"name": "cuda_inference_timm_image-classification_timm/resnet50.a1_in1k",
"backend": {
"name": "pytorch",
"version": "2.3.1+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",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.285632,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.219-208.866.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": "4.42.3",
"transformers_commit": null,
"accelerate_version": "0.31.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.7",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 952.17664,
"max_global_vram": 1047.003136,
"max_process_vram": 0.0,
"max_reserved": 396.361728,
"max_allocated": 253.912576
},
"latency": {
"unit": "s",
"count": 183,
"total": 0.9995998072624206,
"mean": 0.005462294028756397,
"stdev": 0.00036061093319922263,
"p50": 0.005385216236114502,
"p90": 0.005613772869110108,
"p95": 0.005961391782760621,
"p99": 0.007498485984802247,
"values": [
0.007987199783325195,
0.007576576232910156,
0.007481344223022461,
0.006820864200592041,
0.005643263816833496,
0.005602303981781006,
0.005568511962890625,
0.005626880168914795,
0.005549088001251221,
0.005752831935882568,
0.005559296131134033,
0.00597603178024292,
0.005230591773986816,
0.005092351913452148,
0.00521830415725708,
0.0051138558387756345,
0.005092351913452148,
0.005085184097290039,
0.005092351913452148,
0.005265408039093018,
0.005526527881622314,
0.005504000186920166,
0.005432320117950439,
0.00541593599319458,
0.005784575939178467,
0.005388288021087646,
0.005420032024383545,
0.005385216236114502,
0.005484543800354004,
0.005416959762573242,
0.005405695915222168,
0.005362688064575195,
0.005544896125793457,
0.005544960021972656,
0.005616640090942383,
0.005600255966186523,
0.005385216236114502,
0.005402624130249023,
0.005352447986602784,
0.005371903896331787,
0.0053975038528442385,
0.005348351955413819,
0.005548031806945801,
0.005409791946411133,
0.005362688064575195,
0.00536678409576416,
0.005442560195922852,
0.005388256072998047,
0.005403647899627686,
0.005388288021087646,
0.00537395191192627,
0.005413887977600097,
0.005598176002502442,
0.00555622386932373,
0.005578752040863037,
0.005391359806060791,
0.005432320117950439,
0.00539961576461792,
0.005385216236114502,
0.005421055793762207,
0.005371903896331787,
0.005419007778167725,
0.005338111877441406,
0.005307392120361328,
0.005355519771575928,
0.0054568958282470706,
0.005395455837249756,
0.005407743930816651,
0.005434368133544922,
0.005386240005493164,
0.005393407821655274,
0.005398528099060058,
0.005504000186920166,
0.005745664119720459,
0.0058091521263122555,
0.005430304050445557,
0.005395391941070557,
0.005371903896331787,
0.005396480083465576,
0.005550079822540284,
0.005399551868438721,
0.005453824043273926,
0.00537395191192627,
0.005585919857025146,
0.005454847812652588,
0.00542310380935669,
0.005426176071166992,
0.005405695915222168,
0.005406655788421631,
0.005426208019256592,
0.005387263774871826,
0.005372928142547607,
0.005586944103240967,
0.0053606400489807126,
0.005361663818359375,
0.005567488193511963,
0.00536678409576416,
0.005485536098480225,
0.0053760318756103515,
0.005359615802764893,
0.005494783878326416,
0.005829631805419922,
0.0061337599754333495,
0.006210559844970703,
0.006269951820373535,
0.006211584091186524,
0.0062904319763183595,
0.00582144021987915,
0.005450751781463623,
0.00535756778717041,
0.005340159893035889,
0.005402624130249023,
0.00536575984954834,
0.0055552000999450684,
0.00536678409576416,
0.005332992076873779,
0.005547008037567139,
0.005337088108062744,
0.005323775768280029,
0.005313536167144775,
0.005245952129364013,
0.00532480001449585,
0.005380095958709717,
0.005310463905334473,
0.005412864208221436,
0.005420032024383545,
0.0053637118339538575,
0.00530841588973999,
0.005346303939819336,
0.005305344104766845,
0.005295104026794434,
0.005356544017791748,
0.005246975898742676,
0.005221375942230225,
0.005250048160552978,
0.005375999927520752,
0.005209023952484131,
0.005386240005493164,
0.005231616020202637,
0.005227519989013672,
0.005261312007904053,
0.005224448204040527,
0.005213183879852295,
0.005281792163848877,
0.0052930560111999515,
0.005305344104766845,
0.005311488151550293,
0.005329984188079834,
0.005248000144958496,
0.005263423919677735,
0.005259263992309571,
0.005249023914337158,
0.005245952129364013,
0.005286911964416504,
0.005250048160552978,
0.005220352172851562,
0.005451776027679443,
0.005284863948822022,
0.0053821120262146,
0.005251071929931641,
0.005499904155731201,
0.00537497615814209,
0.005303296089172363,
0.005303264141082764,
0.005344287872314453,
0.00531763219833374,
0.0052971520423889164,
0.005339136123657226,
0.005319583892822266,
0.005327775955200196,
0.005356544017791748,
0.005345280170440674,
0.00530944013595581,
0.005331967830657959,
0.005343232154846191,
0.005325823783874512,
0.005538815975189209,
0.00530838394165039,
0.005462016105651855,
0.0053637118339538575,
0.00530841588973999,
0.00530944013595581,
0.005347328186035156
]
},
"throughput": {
"unit": "samples/s",
"value": 183.07326459093423
},
"energy": {
"unit": "kWh",
"cpu": 6.334465561491072e-08,
"ram": 3.463145499638893e-08,
"gpu": 1.350803219679018e-07,
"total": 2.3305643257920144e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 4290806.260668913
}
}
}
}