rocm
/
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
7e318dc
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_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": {}, | |
| "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": false, | |
| "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 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.236096, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 68702699520, | |
| "optimum_benchmark_version": "0.3.1", | |
| "optimum_benchmark_commit": "2a33a472f309c43b5bd16946ef9cec843d02f70a", | |
| "transformers_version": "4.42.4", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.32.1", | |
| "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": 1066.893312, | |
| "max_global_vram": 777.732096, | |
| "max_process_vram": 168811.900928, | |
| "max_reserved": 406.847488, | |
| "max_allocated": 355.30752 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 140, | |
| "total": 0.9931473388671872, | |
| "mean": 0.007093909563337053, | |
| "stdev": 0.0002825317597599359, | |
| "p50": 0.0069524688720703125, | |
| "p90": 0.007487443780899048, | |
| "p95": 0.00758638687133789, | |
| "p99": 0.007754737663269042, | |
| "values": [ | |
| 0.006986867904663086, | |
| 0.007202067852020264, | |
| 0.007300308227539062, | |
| 0.007486067771911621, | |
| 0.007471827983856201, | |
| 0.007585426807403564, | |
| 0.007541907787322998, | |
| 0.0074212679862976074, | |
| 0.0074823880195617675, | |
| 0.00742766809463501, | |
| 0.007604628086090088, | |
| 0.00723550796508789, | |
| 0.007166547775268555, | |
| 0.007168628215789795, | |
| 0.007125429153442383, | |
| 0.007089908123016357, | |
| 0.007049108028411865, | |
| 0.007023668766021728, | |
| 0.007138227939605713, | |
| 0.007167027950286865, | |
| 0.007110068798065186, | |
| 0.007114548206329346, | |
| 0.0070819082260131835, | |
| 0.007093749046325684, | |
| 0.006995667934417724, | |
| 0.007050549030303955, | |
| 0.007085907936096192, | |
| 0.007115027904510498, | |
| 0.007333107948303223, | |
| 0.0074683079719543456, | |
| 0.007323828220367432, | |
| 0.007192307949066162, | |
| 0.007230708122253418, | |
| 0.00719838809967041, | |
| 0.007138868808746338, | |
| 0.007095667839050293, | |
| 0.007105268001556396, | |
| 0.0071494288444519044, | |
| 0.007079988956451416, | |
| 0.007107508182525635, | |
| 0.0069943881034851075, | |
| 0.00714910888671875, | |
| 0.007111348152160644, | |
| 0.007414068222045898, | |
| 0.007664466857910156, | |
| 0.007765906810760498, | |
| 0.007737267971038819, | |
| 0.00767454719543457, | |
| 0.007548468112945557, | |
| 0.007578867912292481, | |
| 0.00747294807434082, | |
| 0.007553747177124023, | |
| 0.007637427806854248, | |
| 0.007442227840423584, | |
| 0.007355827808380127, | |
| 0.007273268222808838, | |
| 0.007235349178314209, | |
| 0.007499827861785889, | |
| 0.007467507839202881, | |
| 0.007556628227233886, | |
| 0.007411188125610352, | |
| 0.008777425765991212, | |
| 0.007298707962036133, | |
| 0.007163827896118164, | |
| 0.007046548843383789, | |
| 0.007042708873748779, | |
| 0.006928948879241943, | |
| 0.0069803080558776855, | |
| 0.007007668972015381, | |
| 0.007000147819519043, | |
| 0.006931669235229492, | |
| 0.006892628192901611, | |
| 0.0069291090965271, | |
| 0.006944788932800293, | |
| 0.0069092679023742675, | |
| 0.006909908771514893, | |
| 0.0069311890602111815, | |
| 0.006943347930908203, | |
| 0.00693614912033081, | |
| 0.006824948787689209, | |
| 0.006891188144683838, | |
| 0.006889588832855224, | |
| 0.006933588981628418, | |
| 0.006901748180389404, | |
| 0.006887029170989991, | |
| 0.006926068782806397, | |
| 0.006883667945861816, | |
| 0.006868148803710937, | |
| 0.006873589038848877, | |
| 0.006886387825012207, | |
| 0.00687838888168335, | |
| 0.0068815889358520505, | |
| 0.0069281492233276365, | |
| 0.00689694881439209, | |
| 0.0068993492126464846, | |
| 0.006930708885192871, | |
| 0.006920629024505616, | |
| 0.0068785490989685056, | |
| 0.0068919892311096196, | |
| 0.006911989212036133, | |
| 0.006881268978118896, | |
| 0.006884949207305908, | |
| 0.006890388011932373, | |
| 0.006853428840637207, | |
| 0.006829109191894531, | |
| 0.006868628978729248, | |
| 0.006884628772735595, | |
| 0.0068687891960144045, | |
| 0.006844307899475098, | |
| 0.006851829051971435, | |
| 0.006865108966827392, | |
| 0.006864949226379395, | |
| 0.006863187789916992, | |
| 0.006838068962097168, | |
| 0.006836789131164551, | |
| 0.006887989044189453, | |
| 0.0068945479393005375, | |
| 0.006855349063873291, | |
| 0.006922389030456543, | |
| 0.00687854814529419, | |
| 0.006906389236450195, | |
| 0.006907669067382813, | |
| 0.006919668197631836, | |
| 0.006922228813171387, | |
| 0.00690894889831543, | |
| 0.006943347930908203, | |
| 0.006960148811340332, | |
| 0.006893749237060547, | |
| 0.006877109050750733, | |
| 0.00689694881439209, | |
| 0.006910869121551514, | |
| 0.006876468181610107, | |
| 0.006903188228607178, | |
| 0.006880148887634278, | |
| 0.006905107975006103, | |
| 0.0069243087768554685, | |
| 0.006893908977508545, | |
| 0.006939507961273193, | |
| 0.006898869037628174, | |
| 0.006866229057312012 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 140.9659921756303 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |