IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
9e4185a
verified
{ | |
"config": { | |
"name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+rocm5.7", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "token-classification", | |
"library": "transformers", | |
"model_type": "deberta-v2", | |
"model": "microsoft/deberta-v3-base", | |
"processor": "microsoft/deberta-v3-base", | |
"device": "cuda", | |
"device_ids": "6", | |
"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": "0.34.2", | |
"accelerate_commit": null, | |
"diffusers_version": "0.30.3", | |
"diffusers_commit": null, | |
"optimum_version": null, | |
"optimum_commit": null, | |
"timm_version": "1.0.9", | |
"timm_commit": null, | |
"peft_version": "0.12.0", | |
"peft_commit": null | |
} | |
}, | |
"report": { | |
"load": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1092.313088, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 49253.040128, | |
"max_reserved": 773.849088, | |
"max_allocated": 736.603648 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 1, | |
"total": 8.508025390625, | |
"mean": 8.508025390625, | |
"stdev": 0.0, | |
"p50": 8.508025390625, | |
"p90": 8.508025390625, | |
"p95": 8.508025390625, | |
"p99": 8.508025390625, | |
"values": [ | |
8.508025390625 | |
] | |
}, | |
"throughput": null, | |
"energy": null, | |
"efficiency": null | |
}, | |
"forward": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 1226.489856, | |
"max_global_vram": 68702.69952, | |
"max_process_vram": 300766.523392, | |
"max_reserved": 773.849088, | |
"max_allocated": 745.086976 | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 76, | |
"total": 1.0034449453353882, | |
"mean": 0.013203222964939318, | |
"stdev": 0.001061991868988763, | |
"p50": 0.012823373794555663, | |
"p90": 0.014234895706176757, | |
"p95": 0.014372695684432984, | |
"p99": 0.018072340965270994, | |
"values": [ | |
0.013890575408935547, | |
0.013138894081115723, | |
0.01324913501739502, | |
0.013269615173339844, | |
0.013272494316101073, | |
0.013324654579162598, | |
0.013157614707946777, | |
0.012984173774719238, | |
0.012929614067077638, | |
0.012776494026184082, | |
0.012870253562927246, | |
0.012739374160766601, | |
0.013029454231262207, | |
0.01386209487915039, | |
0.014678256034851074, | |
0.012670574188232421, | |
0.012896814346313477, | |
0.012652813911437988, | |
0.012652974128723144, | |
0.012630574226379395, | |
0.013010733604431153, | |
0.012635213851928711, | |
0.012630093574523925, | |
0.012609933853149414, | |
0.013019695281982421, | |
0.01267825412750244, | |
0.012649773597717285, | |
0.012687374114990234, | |
0.012957453727722168, | |
0.017529300689697266, | |
0.012509774208068848, | |
0.012677933692932129, | |
0.012694733619689941, | |
0.012694733619689941, | |
0.013015054702758789, | |
0.01269201374053955, | |
0.01265057373046875, | |
0.012730573654174805, | |
0.012632333755493164, | |
0.01301185417175293, | |
0.012657934188842774, | |
0.01272641372680664, | |
0.01268993377685547, | |
0.012656654357910156, | |
0.013029133796691895, | |
0.012677133560180664, | |
0.012667533874511718, | |
0.01267121410369873, | |
0.012634573936462402, | |
0.013049135208129883, | |
0.01269537353515625, | |
0.012680173873901367, | |
0.012675694465637207, | |
0.012655054092407227, | |
0.013116333961486816, | |
0.012720173835754394, | |
0.012736333847045898, | |
0.012656493186950684, | |
0.012708654403686523, | |
0.013023694038391114, | |
0.019701461791992187, | |
0.012680334091186523, | |
0.012766894340515136, | |
0.012870894432067872, | |
0.01309041404724121, | |
0.014620977401733399, | |
0.014255695343017578, | |
0.01426353645324707, | |
0.013257454872131348, | |
0.014258735656738282, | |
0.014289935111999512, | |
0.014214096069335937, | |
0.014212816238403321, | |
0.01421201515197754, | |
0.013976176261901856, | |
0.01325201416015625 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 75.73908299931493 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |