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
546a89a verified
raw
history blame
11.3 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": "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",
"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": "0.2.1",
"optimum_benchmark_commit": "56d026bf244c6516d8cb780280ce7cc6505f270e",
"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": "1.0.3",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"forward": {
"memory": {
"unit": "MB",
"max_ram": 1061.511168,
"max_global_vram": 1758.8224,
"max_process_vram": 169640.2432,
"max_reserved": 406.847488,
"max_allocated": 355.912704
},
"latency": {
"unit": "s",
"count": 159,
"total": 0.99409481048584,
"mean": 0.006252168619407797,
"stdev": 0.000202846752522202,
"p50": 0.0061825718879699705,
"p90": 0.006486155891418457,
"p95": 0.006586828136444092,
"p99": 0.006915088205337524,
"values": [
0.006333450794219971,
0.006251532077789307,
0.006217772006988525,
0.006218891143798828,
0.006264331817626953,
0.006353131771087647,
0.006386571884155273,
0.006309452056884765,
0.006364811897277832,
0.006316971778869629,
0.006314570903778076,
0.006308970928192138,
0.006528812885284424,
0.0062910509109497074,
0.006288812160491943,
0.006249291896820068,
0.0062409710884094236,
0.0062249708175659176,
0.006294251918792725,
0.006272811889648438,
0.0061963310241699215,
0.006208491802215576,
0.006260171890258789,
0.0062745709419250485,
0.006233130931854248,
0.006315052032470703,
0.006253131866455078,
0.006235850811004639,
0.006254732131958008,
0.0062724919319152835,
0.006351051807403564,
0.006288651943206787,
0.006241771221160888,
0.006305771827697754,
0.006229611873626709,
0.006225931167602539,
0.007886575222015382,
0.006320971965789795,
0.006151691913604736,
0.006144491195678711,
0.006119532108306885,
0.006178571224212647,
0.0061942520141601565,
0.006135691165924073,
0.006130091190338135,
0.006131210803985596,
0.00618801212310791,
0.006180012226104736,
0.006123691082000732,
0.006172331809997558,
0.006181770801544189,
0.006133131980895996,
0.0062171311378479005,
0.00616353178024292,
0.00613313102722168,
0.00617985200881958,
0.006133450984954834,
0.006106572151184082,
0.00611297082901001,
0.00611489200592041,
0.006140330791473389,
0.006091372013092041,
0.006150731086730957,
0.006152331829071045,
0.006152811050415039,
0.006153771877288819,
0.0061675310134887695,
0.0061894521713256835,
0.006181931018829346,
0.0061865711212158205,
0.006166252136230468,
0.00616641092300415,
0.006174091815948486,
0.0061742510795593265,
0.006125611782073975,
0.006109450817108154,
0.006179212093353271,
0.006142090797424316,
0.006143052101135254,
0.006203530788421631,
0.006181612014770508,
0.006382091999053955,
0.006177772045135498,
0.006208331108093262,
0.006155211925506592,
0.006139211177825928,
0.006141612052917481,
0.006151531219482422,
0.006221931934356689,
0.006161770820617676,
0.0061427321434021,
0.006183210849761963,
0.006146571159362793,
0.0061825718879699705,
0.006169610977172851,
0.006190092086791992,
0.006137771129608154,
0.006155531883239746,
0.006128011226654052,
0.006216012001037598,
0.00621825122833252,
0.006154891014099121,
0.0061660919189453125,
0.006145131111145019,
0.006142412185668945,
0.006167370796203614,
0.0061752119064331056,
0.006203052043914795,
0.006107050895690918,
0.006128011226654052,
0.006211851119995117,
0.006184971809387207,
0.006135371208190918,
0.0061612920761108395,
0.006162570953369141,
0.00613841199874878,
0.006104170799255371,
0.00612529182434082,
0.0061412911415100096,
0.006192011833190918,
0.006185931205749512,
0.006101451873779297,
0.00620465087890625,
0.006666091918945313,
0.006583052158355713,
0.00633649206161499,
0.006499852180480957,
0.006529771804809571,
0.006942092895507812,
0.006870252132415771,
0.006895533084869385,
0.006680172920227051,
0.006411052227020263,
0.006569292068481445,
0.006512012004852295,
0.0065121731758117675,
0.006620811939239502,
0.006458251953125,
0.006456811904907226,
0.006650893211364746,
0.006482731819152832,
0.006579212188720703,
0.0063411321640014645,
0.006137131214141845,
0.00613505220413208,
0.0061387310028076176,
0.006154891967773438,
0.006149930953979492,
0.006171850204467774,
0.0061392121315002445,
0.006183850765228272,
0.006174091815948486,
0.006164650917053222,
0.006131691932678223,
0.006121931076049805,
0.006192811965942383,
0.006171051025390625,
0.006116652011871338,
0.006121131896972656
]
},
"throughput": {
"unit": "samples/s",
"value": 159.94450259959874
},
"energy": null,
"efficiency": null
}
}
}