IlyasMoutawwakil's picture
Upload cuda_inference_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
49423fa verified
raw
history blame
13.2 kB
{
"config": {
"name": "cuda_inference_transformers_image-classification_google/vit-base-patch16-224",
"backend": {
"name": "pytorch",
"version": "2.4.1+rocm6.1",
"_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": "4",
"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": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"diffusers_commit": null,
"optimum_version": null,
"optimum_commit": null,
"timm_version": "1.0.9",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"load": {
"memory": {
"unit": "MB",
"max_ram": 1386.749952,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 400.556032,
"max_allocated": 346.271744
},
"latency": {
"unit": "s",
"count": 1,
"total": 8.04158544921875,
"mean": 8.04158544921875,
"stdev": 0.0,
"p50": 8.04158544921875,
"p90": 8.04158544921875,
"p95": 8.04158544921875,
"p99": 8.04158544921875,
"values": [
8.04158544921875
]
},
"throughput": null,
"energy": null,
"efficiency": null
},
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1556.86912,
"max_global_vram": 68702.69952,
"max_process_vram": 0.0,
"max_reserved": 406.847488,
"max_allocated": 354.740224
},
"latency": {
"unit": "s",
"count": 174,
"total": 0.9947851018905641,
"mean": 0.005717155757991747,
"stdev": 0.00016105952634478562,
"p50": 0.0056613399982452395,
"p90": 0.00589185094833374,
"p95": 0.006034746766090392,
"p99": 0.006376022477149963,
"values": [
0.005920779228210449,
0.005938058853149414,
0.0059087791442871095,
0.005733098983764649,
0.005765580177307129,
0.0058878188133239745,
0.005893579006195068,
0.00591197919845581,
0.005852299213409424,
0.005872299194335937,
0.005852299213409424,
0.005865738868713379,
0.005794700145721436,
0.005769258975982666,
0.005716939926147461,
0.0056772599220275876,
0.005666059970855713,
0.005687819004058838,
0.005805899143218994,
0.0056276597976684575,
0.005642380237579346,
0.0056321401596069335,
0.005667978763580322,
0.0056535801887512204,
0.005682380199432373,
0.005652939796447754,
0.0056516599655151364,
0.00566126012802124,
0.005687339782714844,
0.005692619800567627,
0.005642378807067871,
0.005621580123901368,
0.0056460599899291995,
0.005661419868469238,
0.005679500102996826,
0.0056319799423217775,
0.0056339001655578615,
0.005615019798278808,
0.005629580020904541,
0.005660459995269775,
0.0058494191169738766,
0.005943338871002197,
0.0056345400810241695,
0.005670219898223877,
0.005631340026855469,
0.005635340213775635,
0.005598859786987305,
0.00601133918762207,
0.005633100032806397,
0.00565310001373291,
0.0056516599655151364,
0.00567278003692627,
0.005628459930419922,
0.005634699821472168,
0.005641739845275879,
0.005658858776092529,
0.005630539894104004,
0.005641099929809571,
0.005629419803619385,
0.005638218879699707,
0.00565310001373291,
0.005628940105438233,
0.005679500102996826,
0.0056822199821472165,
0.0056631798744201664,
0.005641580104827881,
0.005667180061340332,
0.005655020236968994,
0.00564493989944458,
0.005659500122070313,
0.005652460098266601,
0.0056860589981079105,
0.005666860103607178,
0.0056412601470947265,
0.005635340213775635,
0.0056228599548339845,
0.005673099994659423,
0.005821098804473877,
0.005686540126800537,
0.0056655797958374025,
0.005659339904785156,
0.005648300170898437,
0.0056652588844299315,
0.005643499851226807,
0.005675819873809815,
0.005661899089813232,
0.00567326021194458,
0.005661419868469238,
0.005661900043487549,
0.005680300235748291,
0.005682859897613525,
0.005660940170288086,
0.005650539875030517,
0.005656300067901611,
0.005629419803619385,
0.0056724600791931154,
0.0056462202072143555,
0.005681579113006592,
0.005626220226287842,
0.0056875,
0.005668779850006103,
0.00567549991607666,
0.00569645881652832,
0.005684939861297608,
0.005682380199432373,
0.005675020217895507,
0.005751180171966553,
0.00567710018157959,
0.005677420139312744,
0.005647180080413819,
0.005634379863739014,
0.005671020030975342,
0.005655660152435303,
0.005650539875030517,
0.005643499851226807,
0.005637420177459717,
0.005651339054107666,
0.005648459911346436,
0.005641580104827881,
0.005652460098266601,
0.005650219917297364,
0.005651500225067139,
0.005664780139923096,
0.005670380115509033,
0.005643179893493652,
0.005652460098266601,
0.005653738975524902,
0.005670859813690186,
0.00565742015838623,
0.0056340589523315426,
0.005637259960174561,
0.005654220104217529,
0.005657259941101074,
0.005669740200042725,
0.005666699886322022,
0.005676458835601807,
0.0056466999053955075,
0.005667019844055176,
0.005617740154266357,
0.005675339221954346,
0.005639019966125488,
0.005625740051269531,
0.0056479802131652835,
0.0056607799530029295,
0.0056412601470947265,
0.005636139869689942,
0.0056817388534545895,
0.005643819808959961,
0.005658539772033691,
0.005670700073242187,
0.005654220104217529,
0.005658060073852539,
0.005658539772033691,
0.005675020217895507,
0.005660459995269775,
0.005670539855957031,
0.005665420055389404,
0.005633580207824707,
0.005666859149932861,
0.005624300003051758,
0.00564654016494751,
0.005647339820861816,
0.005836619853973389,
0.006368937969207763,
0.006457417011260986,
0.006335658073425293,
0.006351976871490478,
0.006358537197113037,
0.006395176887512207,
0.006345097064971924,
0.0060809369087219236,
0.005969258785247802,
0.00607821798324585,
0.005967819213867188
]
},
"throughput": {
"unit": "samples/s",
"value": 174.91214903532168
},
"energy": null,
"efficiency": null
}
}
}