IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
d0dc59c verified
raw
history blame
14 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+cu124",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "image-classification",
"library": "transformers",
"model_type": "vit",
"model": "google/vit-base-patch16-224",
"processor": "google/vit-base-patch16-224",
"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": 66697.261056,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.225-213.878.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": "0.5.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.45.2",
"transformers_commit": null,
"accelerate_version": "1.0.0",
"accelerate_commit": null,
"diffusers_version": "0.30.3",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": "0.13.0",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 843.862016,
"max_global_vram": 1037.565952,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"values": [
0.12217549133300781
],
"count": 1,
"total": 0.12217549133300781,
"mean": 0.12217549133300781,
"p50": 0.12217549133300781,
"p90": 0.12217549133300781,
"p95": 0.12217549133300781,
"p99": 0.12217549133300781,
"stdev": 0,
"stdev_": 0
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1054.117888,
"max_global_vram": 1056.44032,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 363.853824
},
"latency": {
"unit": "s",
"values": [
0.005570559978485107,
0.005241856098175048,
0.0053647360801696775,
0.00531660795211792,
0.005347328186035156,
0.005361792087554932,
0.005354400157928467,
0.0053340158462524415,
0.0053637118339538575,
0.00530944013595581,
0.005591040134429932,
0.00616860818862915,
0.005616543769836425,
0.005607423782348633,
0.005477375984191894,
0.0055101442337036136,
0.005420032024383545,
0.005483520030975342,
0.005473279953002929,
0.005387263774871826,
0.005258240222930908,
0.005279744148254394,
0.005347328186035156,
0.005312511920928955,
0.005372928142547607,
0.005361663818359375,
0.005230591773986816,
0.005227519989013672,
0.005180416107177735,
0.005268479824066162,
0.005244927883148193,
0.005185535907745361,
0.005282688140869141,
0.005317567825317383,
0.005298175811767578,
0.005344255924224854,
0.005351424217224121,
0.005252031803131103,
0.005339136123657226,
0.005296319961547852,
0.005581823825836182,
0.005401599884033203,
0.0054271998405456545,
0.005508096218109131,
0.005591040134429932,
0.005512191772460938,
0.005464064121246338,
0.005405695915222168,
0.005469183921813964,
0.005259263992309571,
0.005277696132659912,
0.005169151782989502,
0.0050954241752624516,
0.0050809278488159176,
0.00506982421875,
0.005195871829986572,
0.005195775985717774,
0.005179359912872315,
0.005241856098175048,
0.005336063861846924,
0.005198847770690918,
0.00516812801361084,
0.005156864166259765,
0.005814271926879883,
0.005403552055358887,
0.005417984008789062,
0.0053556480407714845,
0.005391359806060791,
0.005220352172851562,
0.00520908784866333,
0.005180416107177735,
0.005310463905334473,
0.0053340158462524415,
0.00536678409576416,
0.00535859203338623,
0.005332992076873779,
0.005313536167144775,
0.005379072189331055,
0.005320703983306885,
0.005204959869384766,
0.005285888195037842,
0.005372928142547607,
0.005264383792877197,
0.005228544235229492,
0.005912576198577881,
0.005214208126068115,
0.005340159893035889,
0.005173344135284424,
0.005090303897857666,
0.005112832069396973,
0.005069791793823242,
0.005018623828887939,
0.0049459199905395506,
0.005179391860961914,
0.005130239963531494,
0.005061632156372071,
0.0049500160217285155,
0.004963327884674072,
0.004915200233459473,
0.005175295829772949,
0.0052008957862854,
0.00522649621963501,
0.005259263992309571,
0.0063805441856384275,
0.005916543960571289,
0.006993919849395752,
0.0065136637687683106,
0.005764063835144043,
0.005400576114654541,
0.005355519771575928,
0.005325856208801269,
0.005244927883148193,
0.005306367874145508,
0.005230591773986816,
0.00519491195678711,
0.005743616104125977,
0.0051968002319335935,
0.005040128231048584,
0.005506048202514649,
0.0051476478576660155,
0.005126143932342529,
0.005056511878967285,
0.004996032238006592,
0.004966400146484375,
0.004933631896972656,
0.00496230411529541,
0.004922368049621582,
0.0049459199905395506,
0.004969471931457519,
0.004957183837890625,
0.00491315221786499,
0.004911104202270508,
0.004940800189971924,
0.004997119903564453,
0.0049428482055664065,
0.004926464080810547,
0.004998144149780274,
0.004932608127593994,
0.004931583881378174,
0.004956160068511963,
0.004935679912567138,
0.004936704158782959,
0.004992000102996826,
0.0049459199905395506,
0.004946944236755371,
0.004933631896972656,
0.004935679912567138,
0.004939775943756103,
0.004921343803405762,
0.004964352130889893,
0.004921343803405762,
0.00497049617767334,
0.0049459199905395506,
0.004971519947052002,
0.004926464080810547,
0.004959231853485108,
0.004903935909271241,
0.004936704158782959,
0.004925439834594727,
0.004925439834594727,
0.004894720077514648,
0.004952064037322998,
0.004967423915863037,
0.004967423915863037,
0.0049489917755126955,
0.004928512096405029,
0.004965375900268554,
0.004986879825592041,
0.004971519947052002,
0.004960256099700928,
0.004929535865783692,
0.0049203200340270994,
0.004959231853485108,
0.004923391819000244,
0.004929535865783692,
0.004952064037322998,
0.004963327884674072,
0.004947968006134033,
0.004959231853485108,
0.0049489917755126955,
0.004959231853485108,
0.004946944236755371,
0.0049387521743774416,
0.00495411205291748,
0.00496127986907959,
0.004967423915863037,
0.004956160068511963,
0.004966400146484375,
0.004973567962646484,
0.004992000102996826,
0.0049725441932678225,
0.00495411205291748
],
"count": 192,
"total": 0.998947679519653,
"mean": 0.0052028524974981945,
"p50": 0.005182976007461548,
"p90": 0.005482905626296997,
"p95": 0.005611527776718139,
"p99": 0.006392524948120117,
"stdev": 0.00029726538957727377,
"stdev_": 5.713507921283846
},
"throughput": {
"unit": "samples/s",
"value": 192.20225837285463
},
"energy": {
"unit": "kWh",
"cpu": 5.9166252421924015e-08,
"ram": 3.233045733897365e-08,
"gpu": 3.45467385273623e-07,
"total": 4.369640950345206e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 2288517.5495277224
}
}
}
}