Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
rocm / cuda_inference_transformers_image-classification_google /vit-base-patch16-224 /benchmark.json
IlyasMoutawwakil's picture
IlyasMoutawwakil HF staff
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
5254ef2 verified
raw
history blame
12.8 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": {},
"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": 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 7643 48-Core Processor",
"cpu_count": 96,
"cpu_ram_mb": 1082028.982272,
"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": "0.4.0",
"optimum_benchmark_commit": "3e7bebdc507bc4e37dce5660074b7586de6b39b2",
"transformers_version": "4.43.3",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.29.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.8",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 898.842624,
"max_global_vram": 689.37728,
"max_process_vram": 43300.929536,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 6.72017041015625,
"mean": 6.72017041015625,
"stdev": 0.0,
"p50": 6.72017041015625,
"p90": 6.72017041015625,
"p95": 6.72017041015625,
"p99": 6.72017041015625,
"values": [
6.72017041015625
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1068.654592,
"max_global_vram": 777.68704,
"max_process_vram": 167120.30208,
"max_reserved": 406.847488,
"max_allocated": 355.303424
},
"latency": {
"unit": "s",
"count": 172,
"total": 0.9900385625362397,
"mean": 0.005756038154280462,
"stdev": 0.00043483793517827725,
"p50": 0.005731462001800537,
"p90": 0.0059430309772491455,
"p95": 0.005997070717811585,
"p99": 0.0068631330442428425,
"values": [
0.00384625506401062,
0.003849453926086426,
0.003833293914794922,
0.003861454963684082,
0.006021461963653565,
0.005946103096008301,
0.006042741775512696,
0.005991063117980957,
0.005983061790466308,
0.005914102077484131,
0.005900022029876709,
0.005845781803131104,
0.005841301918029785,
0.005832181930541992,
0.005788341999053955,
0.0057697811126708985,
0.005820022106170654,
0.005765141963958741,
0.005793301105499268,
0.005799702167510986,
0.00575698184967041,
0.005807540893554688,
0.005753461837768555,
0.008316990852355956,
0.0062693037986755375,
0.0056254611015319825,
0.005676021099090576,
0.00567970085144043,
0.005712982177734375,
0.005711861133575439,
0.005695860862731933,
0.005724021911621094,
0.005700661182403565,
0.005685620784759522,
0.00573074197769165,
0.005707060813903809,
0.005670900821685791,
0.005701461791992188,
0.005682100772857666,
0.005688180923461914,
0.005634261131286621,
0.005684660911560059,
0.005683381080627442,
0.005720181941986084,
0.005692821025848388,
0.005678901195526123,
0.005676180839538574,
0.005709300994873047,
0.005717940807342529,
0.0056841812133789065,
0.005716501235961914,
0.005705941200256348,
0.0056805009841918944,
0.005727381229400635,
0.005679380893707275,
0.005705941200256348,
0.005670900821685791,
0.005685141086578369,
0.005701621055603027,
0.005708181858062744,
0.005720661163330078,
0.005723701000213623,
0.0057221012115478516,
0.005726740837097168,
0.005724661827087403,
0.005723381042480468,
0.005705461025238037,
0.0057299408912658695,
0.005688981056213379,
0.005701301097869873,
0.005704020977020264,
0.0056944208145141605,
0.005706261157989502,
0.005739541053771973,
0.005734900951385498,
0.008849632263183594,
0.00607794189453125,
0.0057561821937561035,
0.005733941078186035,
0.005738902091979981,
0.005766420841217041,
0.005690101146697998,
0.0056701011657714845,
0.005722260951995849,
0.0056969809532165525,
0.005708820819854736,
0.005706261157989502,
0.005704981803894043,
0.00568946123123169,
0.00568066120147705,
0.005674740791320801,
0.005701622009277344,
0.00568402099609375,
0.005683701038360595,
0.005690260887145996,
0.005690741062164307,
0.005692980766296387,
0.005700981140136719,
0.005717142105102539,
0.005708500862121582,
0.005709940910339355,
0.005733941078186035,
0.005744501113891602,
0.005728341102600097,
0.005710261821746826,
0.0057203412055969235,
0.005718740940093994,
0.005739222049713135,
0.0057821011543273924,
0.00576482105255127,
0.0057849822044372555,
0.005741460800170899,
0.0057419419288635256,
0.0057537808418273925,
0.005724822044372559,
0.005744980812072754,
0.005751381874084473,
0.005750580787658692,
0.005743062019348145,
0.005716021060943603,
0.005748661041259766,
0.005706740856170654,
0.005741460800170899,
0.005715221881866455,
0.006143542766571045,
0.005979862213134766,
0.005971861839294434,
0.006162901878356933,
0.005983382225036621,
0.0059837021827697755,
0.0059957032203674316,
0.00599874210357666,
0.005864662170410156,
0.005915381908416748,
0.005954102039337158,
0.005850100994110107,
0.005865141868591308,
0.005873462200164795,
0.005829782009124756,
0.005835862159729004,
0.005817142009735108,
0.005739541053771973,
0.005790582180023193,
0.0058062620162963865,
0.005748500823974609,
0.005821621894836425,
0.00581426191329956,
0.005792500972747802,
0.005791222095489502,
0.00572882080078125,
0.005795862197875977,
0.0057707419395446775,
0.005856502056121826,
0.005802741050720215,
0.00583826208114624,
0.0057913818359375,
0.005810260772705078,
0.005767701148986816,
0.005756822109222412,
0.005756180763244629,
0.005732182025909424,
0.005727221012115478,
0.005762102127075196,
0.005766261100769043,
0.00574274206161499,
0.0057630610466003415,
0.005710580825805664,
0.005738261222839355,
0.005711700916290283,
0.0057256221771240234,
0.005714420795440674,
0.005733781814575195
]
},
"throughput": {
"unit": "samples/s",
"value": 173.73060657291728
},
"energy": null,
"efficiency": null
}
}
}