cuda
/
cuda_inference_transformers_image-classification_google
/vit-base-patch16-224
/benchmark.json
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
34d1e91
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "image-classification", | |
| "library": "transformers", | |
| "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": {}, | |
| "hub_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, | |
| "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": 909.979648, | |
| "max_global_vram": 1057.488896, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 406.847488, | |
| "max_allocated": 364.432384 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 166, | |
| "total": 0.9951713624000545, | |
| "mean": 0.005995008207229247, | |
| "stdev": 0.00019188055179377396, | |
| "p50": 0.006012415885925293, | |
| "p90": 0.006193664073944092, | |
| "p95": 0.006246399879455566, | |
| "p99": 0.00652349429130554, | |
| "values": [ | |
| 0.006388735771179199, | |
| 0.005963776111602783, | |
| 0.006902751922607422, | |
| 0.006258687973022461, | |
| 0.006194176197052002, | |
| 0.0062494721412658695, | |
| 0.006707200050354004, | |
| 0.006240255832672119, | |
| 0.006322175979614258, | |
| 0.006195199966430664, | |
| 0.006248447895050049, | |
| 0.006146048069000244, | |
| 0.0064245758056640625, | |
| 0.006171648025512695, | |
| 0.006158336162567139, | |
| 0.006182911872863769, | |
| 0.006136832237243653, | |
| 0.006009920120239258, | |
| 0.006007743835449219, | |
| 0.0060804481506347655, | |
| 0.0060405759811401364, | |
| 0.006195199966430664, | |
| 0.006124544143676758, | |
| 0.006172639846801758, | |
| 0.0061265921592712404, | |
| 0.006159359931945801, | |
| 0.006094848155975342, | |
| 0.0060999679565429685, | |
| 0.006089727878570556, | |
| 0.006132736206054688, | |
| 0.006182943820953369, | |
| 0.006109183788299561, | |
| 0.0061562881469726565, | |
| 0.006147071838378906, | |
| 0.006173727989196777, | |
| 0.006080512046813965, | |
| 0.006146048069000244, | |
| 0.006144000053405762, | |
| 0.006131711959838867, | |
| 0.00616755199432373, | |
| 0.006032383918762207, | |
| 0.00597811222076416, | |
| 0.005987391948699951, | |
| 0.00607539176940918, | |
| 0.006085631847381592, | |
| 0.006011903762817383, | |
| 0.006012928009033203, | |
| 0.006096896171569824, | |
| 0.006112256050109863, | |
| 0.006189055919647217, | |
| 0.0061296639442443845, | |
| 0.0061972479820251464, | |
| 0.006158336162567139, | |
| 0.006131711959838867, | |
| 0.0061337599754333495, | |
| 0.006093823909759521, | |
| 0.006115327835083008, | |
| 0.006116352081298828, | |
| 0.006171648025512695, | |
| 0.0060364799499511715, | |
| 0.005912576198577881, | |
| 0.0059770879745483394, | |
| 0.006073344230651856, | |
| 0.005990399837493897, | |
| 0.006090752124786377, | |
| 0.006071296215057373, | |
| 0.00612556791305542, | |
| 0.006062079906463623, | |
| 0.006231040000915527, | |
| 0.0060590081214904785, | |
| 0.006021120071411133, | |
| 0.006037439823150635, | |
| 0.006022143840789795, | |
| 0.006060031890869141, | |
| 0.006055935859680176, | |
| 0.006085631847381592, | |
| 0.0060590081214904785, | |
| 0.006100992202758789, | |
| 0.00614086389541626, | |
| 0.0061931519508361815, | |
| 0.006146048069000244, | |
| 0.006180863857269287, | |
| 0.0061634559631347655, | |
| 0.006207488059997559, | |
| 0.006109183788299561, | |
| 0.0061265921592712404, | |
| 0.00608460807800293, | |
| 0.0059996161460876465, | |
| 0.006209536075592041, | |
| 0.006054912090301514, | |
| 0.005987328052520752, | |
| 0.005882880210876465, | |
| 0.0058388481140136715, | |
| 0.00602726411819458, | |
| 0.006003712177276611, | |
| 0.005844992160797119, | |
| 0.005783552169799804, | |
| 0.005752831935882568, | |
| 0.005796864032745362, | |
| 0.005807104110717773, | |
| 0.0058716158866882326, | |
| 0.005944320201873779, | |
| 0.005894144058227539, | |
| 0.005933055877685547, | |
| 0.005900288105010986, | |
| 0.006007808208465576, | |
| 0.006011903762817383, | |
| 0.006260735988616943, | |
| 0.006044672012329101, | |
| 0.0058716158866882326, | |
| 0.005785600185394287, | |
| 0.005830656051635743, | |
| 0.005803008079528809, | |
| 0.005823488235473633, | |
| 0.005788671970367432, | |
| 0.005851136207580566, | |
| 0.00577129602432251, | |
| 0.005807104110717773, | |
| 0.005761023998260498, | |
| 0.005787648200988769, | |
| 0.005781504154205322, | |
| 0.005764095783233642, | |
| 0.005805056095123291, | |
| 0.005745664119720459, | |
| 0.005795839786529541, | |
| 0.005750783920288086, | |
| 0.005784639835357666, | |
| 0.005767168045043946, | |
| 0.0058726401329040525, | |
| 0.0057497601509094234, | |
| 0.00577023983001709, | |
| 0.005743616104125977, | |
| 0.005750815868377685, | |
| 0.005766143798828125, | |
| 0.005743616104125977, | |
| 0.005772287845611572, | |
| 0.005799935817718506, | |
| 0.005805056095123291, | |
| 0.005766208171844482, | |
| 0.005769216060638428, | |
| 0.005760000228881836, | |
| 0.005727231979370117, | |
| 0.005780479907989502, | |
| 0.005753856182098388, | |
| 0.005830656051635743, | |
| 0.005736447811126709, | |
| 0.005784575939178467, | |
| 0.0058388481140136715, | |
| 0.005765120029449463, | |
| 0.005753856182098388, | |
| 0.005798912048339844, | |
| 0.0057712640762329105, | |
| 0.005761023998260498, | |
| 0.0058429441452026365, | |
| 0.005756927967071533, | |
| 0.005948416233062744, | |
| 0.005832704067230224, | |
| 0.005894144058227539, | |
| 0.005764063835144043, | |
| 0.005776383876800537, | |
| 0.005879807949066162, | |
| 0.005849088191986084, | |
| 0.005786623954772949, | |
| 0.005958655834197998, | |
| 0.005804031848907471, | |
| 0.005853184223175049 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 166.80544303410997 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.883993398311527e-08, | |
| "ram": 3.7637134960806536e-08, | |
| "gpu": 3.657044269302345e-07, | |
| "total": 4.721814958741563e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 2117829.7089950247 | |
| } | |
| } | |
| } | |
| } |