IlyasMoutawwakil's picture
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
4baede9 verified
raw
history blame
11.4 kB
{
"config": {
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.2.2",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "fill-mask",
"model": "google-bert/bert-base-uncased",
"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": true,
"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 7R32",
"cpu_count": 16,
"cpu_ram_mb": 66697.29792,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"gpu": [
"NVIDIA A10G"
],
"gpu_count": 1,
"gpu_vram_mb": 24146608128,
"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": 866.066432,
"max_global_vram": 1229.45536,
"max_process_vram": 0.0,
"max_reserved": 591.396864,
"max_allocated": 449.269248
},
"latency": {
"unit": "s",
"count": 154,
"total": 0.9999482889175418,
"mean": 0.006493170707256763,
"stdev": 0.00022779969990212862,
"p50": 0.006435840129852295,
"p90": 0.006732390403747558,
"p95": 0.006823936057090759,
"p99": 0.0071848344755172724,
"values": [
0.0075939841270446775,
0.006707200050354004,
0.006884352207183838,
0.0068618240356445315,
0.006812672138214112,
0.0067420158386230465,
0.006816768169403077,
0.006770688056945801,
0.0066447358131408694,
0.0066447358131408694,
0.006650879859924317,
0.0066078720092773435,
0.0067348480224609375,
0.006642687797546387,
0.00653004789352417,
0.006585343837738037,
0.006651904106140137,
0.006595583915710449,
0.006418432235717773,
0.0064471039772033695,
0.006435840129852295,
0.006436863899230957,
0.006395904064178467,
0.006397952079772949,
0.006415359973907471,
0.006487040042877197,
0.0065413122177124024,
0.006738944053649902,
0.006642687797546387,
0.006435840129852295,
0.006348800182342529,
0.006391808032989502,
0.006536191940307618,
0.006398975849151611,
0.006407167911529541,
0.006288383960723877,
0.006269951820373535,
0.006289408206939697,
0.006340608119964599,
0.006377471923828125,
0.0063170561790466305,
0.006429696083068847,
0.006360064029693604,
0.006639616012573242,
0.006683648109436035,
0.006650879859924317,
0.006668288230895996,
0.00677785587310791,
0.006633471965789795,
0.006606847763061524,
0.006626304149627686,
0.006649856090545654,
0.006725632190704346,
0.006690815925598144,
0.006647808074951172,
0.006606847763061524,
0.006707200050354004,
0.00657203197479248,
0.006654975891113281,
0.006651904106140137,
0.006715392112731934,
0.006616064071655273,
0.0065710082054138185,
0.006553599834442139,
0.006621183872222901,
0.006652927875518798,
0.006609920024871826,
0.006620160102844238,
0.006663167953491211,
0.006624256134033203,
0.006743040084838867,
0.006837247848510742,
0.006724607944488525,
0.006726655960083008,
0.006650879859924317,
0.006618112087249756,
0.006625279903411865,
0.006559743881225586,
0.006590464115142822,
0.00657203197479248,
0.006526976108551025,
0.00643071985244751,
0.006459392070770263,
0.006594560146331787,
0.006533120155334473,
0.006632448196411133,
0.006308864116668702,
0.006309887886047363,
0.006726655960083008,
0.006676479816436768,
0.006564864158630371,
0.006618112087249756,
0.006670335769653321,
0.0070553598403930665,
0.007267327785491944,
0.006386688232421875,
0.0062791681289672855,
0.0062566399574279785,
0.006319104194641113,
0.006326272010803223,
0.006248447895050049,
0.006308864116668702,
0.006352896213531494,
0.006259712219238281,
0.006328320026397705,
0.006254591941833496,
0.006299647808074951,
0.006262784004211426,
0.006323200225830078,
0.006308864116668702,
0.0070563840866088865,
0.006316031932830811,
0.006304768085479737,
0.006318079948425293,
0.006299647808074951,
0.0063610877990722655,
0.006299647808074951,
0.006336512088775635,
0.006276095867156982,
0.006240255832672119,
0.006328320026397705,
0.006261760234832763,
0.006239232063293457,
0.006271999835968017,
0.006236159801483154,
0.006301695823669433,
0.0062566399574279785,
0.006289408206939697,
0.006309887886047363,
0.006369279861450195,
0.006419456005096436,
0.006210559844970703,
0.006227968215942382,
0.006285312175750732,
0.006255616188049316,
0.006231040000915527,
0.006276095867156982,
0.0062197761535644535,
0.0062044157981872555,
0.006247424125671387,
0.006262784004211426,
0.006232063770294189,
0.007111680030822754,
0.006264832019805908,
0.006342656135559082,
0.006302720069885254,
0.0062494721412658695,
0.006231040000915527,
0.006305791854858398,
0.006313983917236328,
0.006275072097778321,
0.0062873601913452145,
0.0062904319763183595,
0.006220799922943115
]
},
"throughput": {
"unit": "samples/s",
"value": 154.00796391852145
},
"energy": {
"unit": "kWh",
"cpu": 7.236775182450044e-08,
"ram": 3.955953015198558e-08,
"gpu": 1.393700301950769e-07,
"total": 2.5129731217156295e-07
},
"efficiency": {
"unit": "samples/kWh",
"value": 3979350.162397642
}
}
}
}