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
ac1bdf0
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", | |
"model": "google/vit-base-patch16-224", | |
"library": "transformers", | |
"device": "cuda", | |
"device_ids": "0", | |
"seed": 42, | |
"inter_op_num_threads": null, | |
"intra_op_num_threads": null, | |
"hub_kwargs": { | |
"revision": "main", | |
"force_download": false, | |
"local_files_only": false, | |
"trust_remote_code": false | |
}, | |
"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", | |
"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": "0.2.0", | |
"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": "0.9.16", | |
"timm_commit": null, | |
"peft_version": null, | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1062.670336, | |
"max_global_vram": 778.469376, | |
"max_process_vram": 209335.001088, | |
"max_reserved": 406.847488, | |
"max_allocated": 355.912704 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 143, | |
"total": 0.9990407528877254, | |
"mean": 0.006986298971242837, | |
"stdev": 0.0001443188814090477, | |
"p50": 0.006934846878051758, | |
"p90": 0.007149181747436523, | |
"p95": 0.007313628101348877, | |
"p99": 0.007505675249099732, | |
"values": [ | |
0.006942845821380615, | |
0.007180604934692383, | |
0.007111485004425049, | |
0.0073497238159179685, | |
0.007481083869934082, | |
0.00752348279953003, | |
0.007455644130706787, | |
0.007475004196166992, | |
0.007381723880767822, | |
0.007321084022521972, | |
0.007548762798309326, | |
0.007246524810791016, | |
0.0071033258438110355, | |
0.007045566082000732, | |
0.007053246021270752, | |
0.006943486213684082, | |
0.006884127140045166, | |
0.006886847019195556, | |
0.006859167098999024, | |
0.006889246940612793, | |
0.006915326118469238, | |
0.006969245910644531, | |
0.006926365852355957, | |
0.006936446189880371, | |
0.006874046802520752, | |
0.006913725852966309, | |
0.006844606876373291, | |
0.0069386868476867675, | |
0.006914525985717773, | |
0.006893246173858642, | |
0.006950205802917481, | |
0.00695948600769043, | |
0.006927486896514893, | |
0.006968286991119385, | |
0.006970046997070312, | |
0.00697516679763794, | |
0.006980125904083252, | |
0.0069804458618164065, | |
0.006936286926269531, | |
0.006927486896514893, | |
0.006871325969696045, | |
0.006905726909637451, | |
0.006955326080322266, | |
0.006953566074371338, | |
0.006881566047668457, | |
0.0069706859588623046, | |
0.006882846832275391, | |
0.006891646862030029, | |
0.006857087135314941, | |
0.006958207130432129, | |
0.006931807041168213, | |
0.0069130859375, | |
0.0069130859375, | |
0.006920445919036866, | |
0.006903807163238526, | |
0.006994845867156982, | |
0.00696908712387085, | |
0.006927166938781738, | |
0.006939645767211914, | |
0.006991806030273437, | |
0.00690540599822998, | |
0.006910366058349609, | |
0.006935006141662598, | |
0.006928606986999512, | |
0.006905887126922607, | |
0.006901725769042969, | |
0.006863966941833496, | |
0.006896286964416504, | |
0.00695996618270874, | |
0.007136925220489502, | |
0.007140604972839355, | |
0.00717148494720459, | |
0.007081884860992432, | |
0.007000606060028076, | |
0.007147005081176758, | |
0.007090365886688233, | |
0.007124125957489014, | |
0.00711084508895874, | |
0.0070540461540222164, | |
0.007067485809326172, | |
0.007103324890136719, | |
0.007208765029907227, | |
0.007125085830688477, | |
0.007149725914001465, | |
0.007080605983734131, | |
0.007035165786743164, | |
0.007005886077880859, | |
0.006896286964416504, | |
0.006956285953521728, | |
0.006862686157226562, | |
0.006885087013244629, | |
0.006934045791625976, | |
0.006912605762481689, | |
0.006877087116241455, | |
0.006843007087707519, | |
0.006908445835113525, | |
0.006909566879272461, | |
0.006879967212677002, | |
0.006884925842285157, | |
0.007120766162872314, | |
0.0071666851043701175, | |
0.00717420482635498, | |
0.007039004802703857, | |
0.006972445964813233, | |
0.006934846878051758, | |
0.006939486980438232, | |
0.006928926944732666, | |
0.006963645935058594, | |
0.0069663658142089845, | |
0.006972286224365234, | |
0.00694364595413208, | |
0.0069138860702514645, | |
0.006944126129150391, | |
0.006881086826324463, | |
0.006894365787506103, | |
0.006926846027374267, | |
0.006875967025756836, | |
0.0068996472358703615, | |
0.0068814058303833005, | |
0.006894207000732422, | |
0.006886846065521241, | |
0.00689212703704834, | |
0.006879167079925537, | |
0.007129724979400635, | |
0.007118205070495606, | |
0.0071254057884216305, | |
0.006903326988220214, | |
0.006890845775604248, | |
0.006922206878662109, | |
0.006946207046508789, | |
0.006916767120361328, | |
0.006866846084594726, | |
0.0068623671531677245, | |
0.0068497262001037595, | |
0.006874046802520752, | |
0.0068759660720825195, | |
0.006901247024536133, | |
0.006893086910247803, | |
0.006881246089935303, | |
0.006918207168579101, | |
0.006835165977478027, | |
0.006860126972198486, | |
0.006869886875152588 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 143.13730404556443 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |