IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
5400458
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": "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": "error", | |
| "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": "0.33.0", | |
| "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": 1017.208832, | |
| "max_global_vram": 1060.777984, | |
| "max_process_vram": 45025.11616, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 736.603648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 7.71534228515625, | |
| "mean": 7.71534228515625, | |
| "stdev": 0.0, | |
| "p50": 7.71534228515625, | |
| "p90": 7.71534228515625, | |
| "p95": 7.71534228515625, | |
| "p99": 7.71534228515625, | |
| "values": [ | |
| 7.71534228515625 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1177.714688, | |
| "max_global_vram": 1142.390784, | |
| "max_process_vram": 297258.954752, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.086976 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 61, | |
| "total": 1.0097399120330806, | |
| "mean": 0.016553113312017725, | |
| "stdev": 0.011588046137302705, | |
| "p50": 0.01475994873046875, | |
| "p90": 0.015008427619934083, | |
| "p95": 0.015059787750244141, | |
| "p99": 0.06291684494018544, | |
| "values": [ | |
| 0.01521962833404541, | |
| 0.01500634765625, | |
| 0.014770190238952636, | |
| 0.014736108779907227, | |
| 0.014700909614562989, | |
| 0.01472362995147705, | |
| 0.014717069625854493, | |
| 0.014766828536987305, | |
| 0.014766030311584473, | |
| 0.014822989463806153, | |
| 0.014778188705444336, | |
| 0.014818989753723144, | |
| 0.014764429092407227, | |
| 0.014746829986572266, | |
| 0.014748429298400879, | |
| 0.014832268714904786, | |
| 0.014717709541320801, | |
| 0.014769389152526855, | |
| 0.014758350372314454, | |
| 0.014705549240112305, | |
| 0.014747630119323731, | |
| 0.01474026870727539, | |
| 0.014983469009399415, | |
| 0.014733389854431152, | |
| 0.014773070335388183, | |
| 0.10393405151367187, | |
| 0.014938029289245605, | |
| 0.014758668899536132, | |
| 0.014791149139404297, | |
| 0.014778349876403809, | |
| 0.014675470352172851, | |
| 0.014684909820556641, | |
| 0.014213871955871583, | |
| 0.0144543514251709, | |
| 0.014863788604736328, | |
| 0.014828429222106934, | |
| 0.01473738956451416, | |
| 0.01477514934539795, | |
| 0.01495802879333496, | |
| 0.014752589225769042, | |
| 0.01459867000579834, | |
| 0.014703149795532227, | |
| 0.014664270401000977, | |
| 0.01503578758239746, | |
| 0.01474170970916748, | |
| 0.01469770908355713, | |
| 0.014707630157470702, | |
| 0.014667790412902832, | |
| 0.015008427619934083, | |
| 0.035572040557861326, | |
| 0.014434029579162597, | |
| 0.014114192008972168, | |
| 0.014060751914978027, | |
| 0.015059787750244141, | |
| 0.014809228897094727, | |
| 0.014766989707946777, | |
| 0.01475994873046875, | |
| 0.0147295503616333, | |
| 0.015059787750244141, | |
| 0.014786190032958984, | |
| 0.01477034854888916 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 60.411596365620845 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |