IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
a1e3114
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "multiple-choice", | |
| "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": 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": 66697.289728, | |
| "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": 891.00288, | |
| "max_global_vram": 1195.900928, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 509.039104 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 136, | |
| "total": 0.9980350713729856, | |
| "mean": 0.007338493171860189, | |
| "stdev": 0.00022279241863946134, | |
| "p50": 0.007393791913986206, | |
| "p90": 0.007586303949356079, | |
| "p95": 0.007633935928344727, | |
| "p99": 0.007742544031143188, | |
| "values": [ | |
| 0.0077619199752807615, | |
| 0.007643136024475097, | |
| 0.007706560134887695, | |
| 0.007701504230499268, | |
| 0.007520256042480469, | |
| 0.007599103927612305, | |
| 0.007539711952209473, | |
| 0.0075346240997314455, | |
| 0.007480319976806641, | |
| 0.007457791805267334, | |
| 0.007255040168762207, | |
| 0.007449600219726562, | |
| 0.007479296207427978, | |
| 0.0074291200637817386, | |
| 0.007436287879943848, | |
| 0.007308288097381592, | |
| 0.007264256000518799, | |
| 0.00733900785446167, | |
| 0.007513088226318359, | |
| 0.007528448104858398, | |
| 0.007599103927612305, | |
| 0.007576576232910156, | |
| 0.007632895946502686, | |
| 0.0075345921516418455, | |
| 0.007529471874237061, | |
| 0.007567296028137207, | |
| 0.0075673599243164065, | |
| 0.007555071830749512, | |
| 0.00744755220413208, | |
| 0.007550975799560547, | |
| 0.007477248191833496, | |
| 0.007477248191833496, | |
| 0.00738918399810791, | |
| 0.007475168228149414, | |
| 0.00744652795791626, | |
| 0.007451648235321045, | |
| 0.0073994240760803225, | |
| 0.007502848148345947, | |
| 0.007490560054779053, | |
| 0.007546879768371582, | |
| 0.007637055873870849, | |
| 0.0075345921516418455, | |
| 0.007603104114532471, | |
| 0.007620607852935791, | |
| 0.0074700798988342285, | |
| 0.007417856216430664, | |
| 0.007547904014587403, | |
| 0.007455743789672851, | |
| 0.007592959880828858, | |
| 0.007436287879943848, | |
| 0.007459839820861816, | |
| 0.007412735939025879, | |
| 0.007352255821228028, | |
| 0.007461887836456299, | |
| 0.007579648017883301, | |
| 0.007544832229614258, | |
| 0.007398399829864502, | |
| 0.007478271961212158, | |
| 0.007431168079376221, | |
| 0.007482367992401123, | |
| 0.007477248191833496, | |
| 0.007559167861938477, | |
| 0.007491583824157715, | |
| 0.007704576015472412, | |
| 0.007565311908721924, | |
| 0.00820633602142334, | |
| 0.007569407939910889, | |
| 0.007479296207427978, | |
| 0.007508992195129394, | |
| 0.00738099193572998, | |
| 0.007427072048187256, | |
| 0.007171072006225586, | |
| 0.007388160228729248, | |
| 0.0073134078979492185, | |
| 0.007341055870056152, | |
| 0.007418879985809326, | |
| 0.007269375801086426, | |
| 0.007488512039184571, | |
| 0.007251904010772705, | |
| 0.007277567863464355, | |
| 0.007612415790557861, | |
| 0.007341055870056152, | |
| 0.007350272178649903, | |
| 0.00748748779296875, | |
| 0.007237631797790528, | |
| 0.007096320152282715, | |
| 0.007063551902770996, | |
| 0.007126016139984131, | |
| 0.007218175888061523, | |
| 0.0070553598403930665, | |
| 0.007085055828094483, | |
| 0.007071743965148926, | |
| 0.007302144050598145, | |
| 0.007079936027526855, | |
| 0.007074816226959229, | |
| 0.007081984043121338, | |
| 0.007116799831390381, | |
| 0.007029759883880615, | |
| 0.007046144008636474, | |
| 0.007093247890472412, | |
| 0.007060480117797851, | |
| 0.0071188478469848635, | |
| 0.007062528133392334, | |
| 0.007081984043121338, | |
| 0.007044095993041993, | |
| 0.007096320152282715, | |
| 0.0071792640686035155, | |
| 0.007088128089904785, | |
| 0.007048192024230957, | |
| 0.007065599918365479, | |
| 0.007117824077606201, | |
| 0.007157760143280029, | |
| 0.00703385591506958, | |
| 0.007079936027526855, | |
| 0.007080959796905518, | |
| 0.007085055828094483, | |
| 0.007066559791564941, | |
| 0.007065599918365479, | |
| 0.00709939193725586, | |
| 0.0071157760620117185, | |
| 0.007061503887176514, | |
| 0.007087103843688965, | |
| 0.007127007961273193, | |
| 0.007060480117797851, | |
| 0.007090176105499267, | |
| 0.007067647933959961, | |
| 0.007061503887176514, | |
| 0.007065599918365479, | |
| 0.007090176105499267, | |
| 0.007095295906066895, | |
| 0.007104512214660645, | |
| 0.0070594558715820314, | |
| 0.007085055828094483, | |
| 0.007069695949554444, | |
| 0.00703385591506958, | |
| 0.007185408115386963 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 136.26775641551987 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 8.46603555036775e-08, | |
| "ram": 4.617796958749095e-08, | |
| "gpu": 1.6257105204255317e-07, | |
| "total": 2.934093771337216e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 3408207.364634597 | |
| } | |
| } | |
| } | |
| } |