IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
c0fdaf7 verified
raw
history blame
10.8 kB
{
"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": "41836e67badc33c5e7a42b3b53f44695ff51963e",
"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": 1066.852352,
"max_global_vram": 777.70752,
"max_process_vram": 167526.592512,
"max_reserved": 406.847488,
"max_allocated": 355.30752
},
"latency": {
"unit": "s",
"count": 145,
"total": 0.9962555541992189,
"mean": 0.0068707279599946125,
"stdev": 0.00039681491800757013,
"p50": 0.006914052963256836,
"p90": 0.007105829048156738,
"p95": 0.007163812255859375,
"p99": 0.0074433059692382815,
"values": [
0.006516294956207275,
0.006610054969787598,
0.006441255092620849,
0.00711085319519043,
0.007408452033996582,
0.007114373207092285,
0.0067505350112915035,
0.006852134227752686,
0.007158692836761475,
0.007162532806396484,
0.007470691204071045,
0.007117572784423828,
0.0068940529823303225,
0.006835974216461181,
0.006900612831115723,
0.006883813858032227,
0.006904932975769043,
0.006871973991394043,
0.0068394942283630375,
0.006798374176025391,
0.006837254047393799,
0.006895493984222412,
0.006896293163299561,
0.006865253925323486,
0.0069135727882385254,
0.0068828539848327635,
0.006864294052124024,
0.00688685417175293,
0.006959493160247803,
0.006954213142395019,
0.006979493141174317,
0.006920613765716553,
0.007020133972167969,
0.007008453845977783,
0.006921733856201172,
0.006868933200836182,
0.006887814044952392,
0.006950693130493164,
0.006877254009246827,
0.006952932834625244,
0.006829733848571777,
0.006892454147338867,
0.006849413871765137,
0.006863813877105713,
0.006921412944793701,
0.006857573986053467,
0.006915012836456299,
0.006876453876495361,
0.006939013004302979,
0.0069246129989624025,
0.00694413423538208,
0.006921574115753174,
0.006878693103790284,
0.006848934173583984,
0.006914052963256836,
0.006944454193115234,
0.006925892829895019,
0.006853253841400147,
0.006927493095397949,
0.0069174132347106934,
0.00691741418838501,
0.007062373161315918,
0.006935654163360595,
0.006929732799530029,
0.00693597412109375,
0.006857893943786621,
0.006880774021148682,
0.006867494106292725,
0.006859653949737548,
0.006981253147125244,
0.00720061206817627,
0.007193731784820557,
0.007106533050537109,
0.006958532810211182,
0.006994052886962891,
0.006974693775177002,
0.0068615741729736324,
0.0069036540985107425,
0.007006214141845703,
0.007034853935241699,
0.007104773044586182,
0.007038853168487549,
0.007013573169708252,
0.006994052886962891,
0.007033253192901611,
0.007000133037567139,
0.0069698929786682125,
0.006985572814941407,
0.006975334167480468,
0.006871173858642578,
0.006890853881835937,
0.006849893093109131,
0.006895333766937256,
0.006878053188323975,
0.006848293781280518,
0.006847814083099365,
0.006853414058685303,
0.006840293884277344,
0.006817893981933594,
0.006927653789520264,
0.006935173034667968,
0.007127492904663086,
0.007164132118225097,
0.007096773147583008,
0.0069460530281066895,
0.006994692802429199,
0.006940134048461914,
0.006942852973937989,
0.006950212955474854,
0.006900934219360352,
0.00693597412109375,
0.006951972961425781,
0.006963973045349121,
0.006943334102630616,
0.00694445276260376,
0.006946853160858154,
0.006915493965148926,
0.006936614036560059,
0.006948132991790771,
0.006908614158630371,
0.006924774169921875,
0.010327159881591797,
0.007299652099609375,
0.00657389497756958,
0.006714853763580322,
0.006653573989868164,
0.0066642951965332035,
0.006331175804138184,
0.006329095840454101,
0.006074696063995361,
0.006274695873260498,
0.006134377002716064,
0.0061674962043762206,
0.007322691917419434,
0.006061256885528565,
0.00624781608581543,
0.006184456825256347,
0.006188456058502197,
0.006168935775756836,
0.006114696979522705,
0.00622141695022583,
0.006091176986694336,
0.006337416172027588,
0.006131655216217041,
0.0062914958000183105
]
},
"throughput": {
"unit": "samples/s",
"value": 145.54498530906528
},
"energy": null,
"efficiency": null
}
}
}