
IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
ecda162
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.0+cu121", | |
"_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": "3.10.12", | |
"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": 880.25088, | |
"max_global_vram": 1229.45536, | |
"max_process_vram": 0.0, | |
"max_reserved": 591.396864, | |
"max_allocated": 449.269248 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 154, | |
"total": 1.0019759035110474, | |
"mean": 0.006506337035786022, | |
"stdev": 0.0001858937782374304, | |
"p50": 0.006563839912414551, | |
"p90": 0.0066879489421844485, | |
"p95": 0.006766796827316284, | |
"p99": 0.006948116612434387, | |
"values": [ | |
0.007165952205657959, | |
0.006722559928894043, | |
0.006866943836212158, | |
0.006759424209594727, | |
0.006823935985565186, | |
0.006762495994567871, | |
0.006774784088134766, | |
0.006672383785247803, | |
0.00662937593460083, | |
0.006670335769653321, | |
0.00658841609954834, | |
0.006599679946899414, | |
0.006619135856628418, | |
0.006596704006195068, | |
0.006597631931304931, | |
0.0065146880149841305, | |
0.006534143924713135, | |
0.0065771517753601075, | |
0.006576128005981445, | |
0.006653952121734619, | |
0.0068618240356445315, | |
0.0066119680404663084, | |
0.006628352165222168, | |
0.00658022403717041, | |
0.00657203197479248, | |
0.006586368083953857, | |
0.006628352165222168, | |
0.006590464115142822, | |
0.0066119680404663084, | |
0.006623231887817383, | |
0.00662937593460083, | |
0.00659660816192627, | |
0.006623231887817383, | |
0.006593535900115967, | |
0.006622208118438721, | |
0.006599679946899414, | |
0.006563839912414551, | |
0.006525951862335205, | |
0.006493184089660644, | |
0.006683648109436035, | |
0.006567935943603515, | |
0.006482944011688232, | |
0.006880256175994873, | |
0.006660096168518067, | |
0.006633471965789795, | |
0.006659071922302246, | |
0.0067041277885437015, | |
0.0066304001808166506, | |
0.0066447358131408694, | |
0.006590464115142822, | |
0.006564864158630371, | |
0.00657919979095459, | |
0.0066416640281677245, | |
0.006595583915710449, | |
0.006606847763061524, | |
0.0066344962120056155, | |
0.006606847763061524, | |
0.006593535900115967, | |
0.006583295822143555, | |
0.006576128005981445, | |
0.006625279903411865, | |
0.006586368083953857, | |
0.0066744318008422855, | |
0.006546432018280029, | |
0.006510591983795166, | |
0.006561791896820069, | |
0.006584320068359375, | |
0.006557695865631104, | |
0.00658022403717041, | |
0.006560768127441406, | |
0.006563839912414551, | |
0.006574079990386963, | |
0.006758399963378906, | |
0.006636544227600098, | |
0.006689792156219483, | |
0.006657023906707763, | |
0.006648831844329834, | |
0.00658739185333252, | |
0.006608895778656006, | |
0.006562816143035889, | |
0.00657203197479248, | |
0.006554624080657959, | |
0.006497280120849609, | |
0.006524928092956543, | |
0.0063201279640197755, | |
0.006456319808959961, | |
0.00657203197479248, | |
0.00638156795501709, | |
0.006284287929534912, | |
0.006243328094482422, | |
0.006280191898345947, | |
0.006425600051879882, | |
0.0066007041931152345, | |
0.006716415882110595, | |
0.006626304149627686, | |
0.006716415882110595, | |
0.006822912216186523, | |
0.007024640083312988, | |
0.006612991809844971, | |
0.006495232105255127, | |
0.0064849920272827145, | |
0.006408192157745361, | |
0.006475776195526123, | |
0.006486015796661377, | |
0.006479872226715088, | |
0.006429696083068847, | |
0.006400000095367431, | |
0.006470655918121338, | |
0.006425600051879882, | |
0.006449151992797852, | |
0.0064737281799316405, | |
0.006269951820373535, | |
0.00628223991394043, | |
0.006260735988616943, | |
0.00626585578918457, | |
0.006213632106781006, | |
0.006250495910644531, | |
0.006221824169158936, | |
0.006227968215942382, | |
0.006240255832672119, | |
0.0062044157981872555, | |
0.006253568172454834, | |
0.0062197761535644535, | |
0.006211584091186524, | |
0.00621670389175415, | |
0.006246399879455566, | |
0.006230016231536865, | |
0.006210559844970703, | |
0.00621670389175415, | |
0.006203392028808594, | |
0.006235136032104492, | |
0.006194176197052002, | |
0.006212607860565185, | |
0.0062269439697265625, | |
0.006276095867156982, | |
0.006298624038696289, | |
0.006403071880340576, | |
0.006426623821258545, | |
0.0063907837867736815, | |
0.006475776195526123, | |
0.00643993616104126, | |
0.006409215927124024, | |
0.006351871967315674, | |
0.006337535858154297, | |
0.0063498239517211915, | |
0.006352896213531494, | |
0.006258687973022461, | |
0.006210559844970703, | |
0.006221824169158936, | |
0.00632422399520874, | |
0.006262784004211426, | |
0.006209536075592041, | |
0.006258687973022461, | |
0.006247424125671387 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 153.6963109196189 | |
}, | |
"energy": { | |
"unit": "kWh", | |
"cpu": 7.54311248417535e-08, | |
"ram": 4.1234562607772375e-08, | |
"gpu": 1.4321667508280268e-07, | |
"total": 2.5988236253232856e-07 | |
}, | |
"efficiency": { | |
"unit": "samples/kWh", | |
"value": 3847894.833092427 | |
} | |
} | |
} | |
} |