IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
cdcbd51
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-classification", | |
| "model": "FacebookAI/roberta-base", | |
| "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": 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": "0.2.0", | |
| "optimum_benchmark_commit": "d7339efdbbcababd22ca2f563771622060764f8f", | |
| "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": 1009.70496, | |
| "max_global_vram": 897.16736, | |
| "max_process_vram": 232214.306816, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.443712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 131, | |
| "total": 0.9945968484878539, | |
| "mean": 0.0075923423548691134, | |
| "stdev": 0.00045473065552046883, | |
| "p50": 0.007862689018249512, | |
| "p90": 0.00797900915145874, | |
| "p95": 0.008014448165893556, | |
| "p99": 0.00817646369934082, | |
| "values": [ | |
| 0.007748768806457519, | |
| 0.008114527702331543, | |
| 0.007638209819793701, | |
| 0.007868608951568604, | |
| 0.007890209197998047, | |
| 0.007945088863372803, | |
| 0.007866687774658203, | |
| 0.00770589017868042, | |
| 0.007666369915008545, | |
| 0.007937088012695312, | |
| 0.007750689029693603, | |
| 0.007917408943176269, | |
| 0.008054688453674316, | |
| 0.007939009189605713, | |
| 0.007961728096008302, | |
| 0.007859808921813965, | |
| 0.00795420789718628, | |
| 0.007851648807525634, | |
| 0.00791084909439087, | |
| 0.007951488018035888, | |
| 0.007908129215240478, | |
| 0.007932447910308837, | |
| 0.007924287796020509, | |
| 0.007918048858642578, | |
| 0.00791644811630249, | |
| 0.007972928047180175, | |
| 0.008069888114929199, | |
| 0.008086048126220702, | |
| 0.009590520858764648, | |
| 0.008203007698059083, | |
| 0.00797900915145874, | |
| 0.007888448238372803, | |
| 0.007928608894348144, | |
| 0.007937249183654784, | |
| 0.007928927898406983, | |
| 0.00784860897064209, | |
| 0.007904607772827149, | |
| 0.007917728900909424, | |
| 0.007886689186096191, | |
| 0.007907808780670166, | |
| 0.007898048877716064, | |
| 0.007940128803253173, | |
| 0.00798860788345337, | |
| 0.007918528079986572, | |
| 0.007919649124145507, | |
| 0.007950528144836426, | |
| 0.007945568084716796, | |
| 0.007941248893737794, | |
| 0.00793596887588501, | |
| 0.007906367778778076, | |
| 0.0079682879447937, | |
| 0.007932448863983154, | |
| 0.00793724822998047, | |
| 0.007887649059295654, | |
| 0.007756929874420166, | |
| 0.00746557092666626, | |
| 0.0075514898300170896, | |
| 0.007292931079864502, | |
| 0.007068131923675537, | |
| 0.007050052165985108, | |
| 0.007061892032623291, | |
| 0.007026852130889893, | |
| 0.007063332080841064, | |
| 0.006961252212524414, | |
| 0.006996932029724121, | |
| 0.007033572196960449, | |
| 0.007074212074279785, | |
| 0.007820128917694092, | |
| 0.00708109188079834, | |
| 0.007091331958770752, | |
| 0.007076611995697021, | |
| 0.007072610855102539, | |
| 0.007072132110595703, | |
| 0.007074691772460937, | |
| 0.007052291870117187, | |
| 0.007111491203308106, | |
| 0.007050851821899414, | |
| 0.007017412185668945, | |
| 0.00703629207611084, | |
| 0.00702045202255249, | |
| 0.007006052017211914, | |
| 0.007045092105865479, | |
| 0.007017251968383789, | |
| 0.007053252220153809, | |
| 0.0070447721481323245, | |
| 0.007031492233276367, | |
| 0.006978693008422851, | |
| 0.006991812229156494, | |
| 0.007039011955261231, | |
| 0.00705533218383789, | |
| 0.007051651954650879, | |
| 0.0070575718879699705, | |
| 0.007038372039794922, | |
| 0.007031492233276367, | |
| 0.007027492046356201, | |
| 0.007076931953430176, | |
| 0.007090371131896972, | |
| 0.007210212230682373, | |
| 0.007048771858215332, | |
| 0.0070023717880249026, | |
| 0.00700605297088623, | |
| 0.007047651767730713, | |
| 0.007035491943359375, | |
| 0.007159811973571777, | |
| 0.00702477216720581, | |
| 0.007075171947479248, | |
| 0.007316610813140869, | |
| 0.007884768009185791, | |
| 0.007862689018249512, | |
| 0.007574689865112305, | |
| 0.007328129768371582, | |
| 0.007342690944671631, | |
| 0.007456610202789307, | |
| 0.007995007991790771, | |
| 0.00798524808883667, | |
| 0.007908608913421631, | |
| 0.007935967922210694, | |
| 0.007936607837677002, | |
| 0.007979488849639893, | |
| 0.00796924877166748, | |
| 0.007983327865600586, | |
| 0.008006848335266114, | |
| 0.007950047969818115, | |
| 0.008022047996520997, | |
| 0.007967967987060547, | |
| 0.007921409130096436, | |
| 0.007934208869934081, | |
| 0.007960126876831055, | |
| 0.007975647926330567, | |
| 0.00796668815612793, | |
| 0.007951969146728516 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 131.71165804432948 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |