IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
48b7e52
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "multiple-choice", | |
| "library": "transformers", | |
| "model": "FacebookAI/roberta-base", | |
| "processor": "FacebookAI/roberta-base", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_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, | |
| "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": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 907.329536, | |
| "max_global_vram": 1195.900928, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 509.039104 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 135, | |
| "total": 1.002634109020233, | |
| "mean": 0.007426919326075801, | |
| "stdev": 0.0002846890124735225, | |
| "p50": 0.00740556812286377, | |
| "p90": 0.007623884677886963, | |
| "p95": 0.007836057710647581, | |
| "p99": 0.008487628669738768, | |
| "values": [ | |
| 0.008538111686706543, | |
| 0.008247296333312988, | |
| 0.00838963222503662, | |
| 0.008261631965637208, | |
| 0.008242176055908204, | |
| 0.00880844783782959, | |
| 0.007468031883239746, | |
| 0.007085055828094483, | |
| 0.00709222412109375, | |
| 0.0070256638526916505, | |
| 0.007015423774719238, | |
| 0.007004159927368164, | |
| 0.006998015880584717, | |
| 0.007003136157989502, | |
| 0.007049215793609619, | |
| 0.007097343921661377, | |
| 0.007060480117797851, | |
| 0.007159808158874512, | |
| 0.007077888011932373, | |
| 0.0070891518592834475, | |
| 0.007143424034118652, | |
| 0.0070830078125, | |
| 0.007169055938720703, | |
| 0.007077888011932373, | |
| 0.007090176105499267, | |
| 0.007038976192474365, | |
| 0.007073791980743408, | |
| 0.007094272136688232, | |
| 0.007103487968444824, | |
| 0.007080959796905518, | |
| 0.007049215793609619, | |
| 0.007071743965148926, | |
| 0.007064576148986816, | |
| 0.007053311824798584, | |
| 0.007225344181060791, | |
| 0.0074291200637817386, | |
| 0.00738918399810791, | |
| 0.007415808200836181, | |
| 0.00745472002029419, | |
| 0.00745472002029419, | |
| 0.0073779520988464355, | |
| 0.007423999786376953, | |
| 0.007458816051483155, | |
| 0.007360511779785156, | |
| 0.007394303798675537, | |
| 0.007401472091674805, | |
| 0.00738918399810791, | |
| 0.007360511779785156, | |
| 0.007370751857757568, | |
| 0.007622655868530274, | |
| 0.007398399829864502, | |
| 0.007394303798675537, | |
| 0.0073768959045410155, | |
| 0.007402495861053467, | |
| 0.007426047801971435, | |
| 0.0075345921516418455, | |
| 0.007374847888946533, | |
| 0.007425024032592774, | |
| 0.007428095817565918, | |
| 0.0074065918922424315, | |
| 0.00742195177078247, | |
| 0.007394368171691894, | |
| 0.007393280029296875, | |
| 0.00734822416305542, | |
| 0.007383039951324463, | |
| 0.0073820161819458, | |
| 0.008013824462890624, | |
| 0.007599103927612305, | |
| 0.007524352073669433, | |
| 0.007470111846923828, | |
| 0.007371776103973389, | |
| 0.007357408046722412, | |
| 0.0073870720863342286, | |
| 0.007392223834991455, | |
| 0.007426047801971435, | |
| 0.0074291200637817386, | |
| 0.0073820161819458, | |
| 0.007359488010406494, | |
| 0.007358463764190673, | |
| 0.007371776103973389, | |
| 0.007375807762145996, | |
| 0.007391232013702393, | |
| 0.007362559795379638, | |
| 0.007523327827453613, | |
| 0.00738918399810791, | |
| 0.007360511779785156, | |
| 0.007377920150756836, | |
| 0.007663616180419922, | |
| 0.0074414081573486324, | |
| 0.007415808200836181, | |
| 0.00740556812286377, | |
| 0.007629824161529541, | |
| 0.007527423858642578, | |
| 0.007759871959686279, | |
| 0.007624703884124756, | |
| 0.007641024112701416, | |
| 0.007614463806152344, | |
| 0.0076267518997192385, | |
| 0.00759603214263916, | |
| 0.007619584083557129, | |
| 0.007611392021179199, | |
| 0.007569407939910889, | |
| 0.007582719802856445, | |
| 0.007553023815155029, | |
| 0.007634943962097168, | |
| 0.007525375843048096, | |
| 0.007559167861938477, | |
| 0.007544832229614258, | |
| 0.0075632638931274416, | |
| 0.007580671787261963, | |
| 0.007539711952209473, | |
| 0.007535615921020508, | |
| 0.007519231796264648, | |
| 0.007522304058074952, | |
| 0.0074741759300231934, | |
| 0.007529471874237061, | |
| 0.007610367774963379, | |
| 0.0074291200637817386, | |
| 0.007416831970214844, | |
| 0.007416831970214844, | |
| 0.0074065918922424315, | |
| 0.007427072048187256, | |
| 0.007477248191833496, | |
| 0.007549952030181885, | |
| 0.007513088226318359, | |
| 0.007491583824157715, | |
| 0.007420928001403809, | |
| 0.007417856216430664, | |
| 0.007375872135162354, | |
| 0.007345151901245117, | |
| 0.007316480159759522, | |
| 0.007378943920135498, | |
| 0.007360479831695557, | |
| 0.007346176147460938, | |
| 0.007372799873352051 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 134.64532952297128 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 8.802546149909251e-08, | |
| "ram": 4.8108606161905396e-08, | |
| "gpu": 1.76405490918513e-07, | |
| "total": 3.125395585795109e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 3199594.971417346 | |
| } | |
| } | |
| } | |
| } |