IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
eda6f3a
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.1+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "multiple-choice", | |
| "library": "transformers", | |
| "model_type": "roberta", | |
| "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", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.293824, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.219-208.866.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": "0.3.1", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.42.4", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.32.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 913.772544, | |
| "max_global_vram": 1195.900928, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 509.039104 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 142, | |
| "total": 0.9995580186843873, | |
| "mean": 0.007039140976650614, | |
| "stdev": 0.00023519723808316132, | |
| "p50": 0.007052799940109253, | |
| "p90": 0.00725237774848938, | |
| "p95": 0.007395379018783569, | |
| "p99": 0.007748406357765199, | |
| "values": [ | |
| 0.008254464149475099, | |
| 0.007569439888000488, | |
| 0.007555071830749512, | |
| 0.007455743789672851, | |
| 0.007581696033477783, | |
| 0.0074670081138610836, | |
| 0.0073768959045410155, | |
| 0.007864255905151368, | |
| 0.007286784172058106, | |
| 0.007169055938720703, | |
| 0.007187456130981445, | |
| 0.0071188478469848635, | |
| 0.007122943878173828, | |
| 0.007274496078491211, | |
| 0.007132160186767578, | |
| 0.007268352031707764, | |
| 0.007114751815795899, | |
| 0.007196671962738037, | |
| 0.007154687881469727, | |
| 0.007212096214294433, | |
| 0.007187456130981445, | |
| 0.007255040168762207, | |
| 0.007104512214660645, | |
| 0.006894591808319092, | |
| 0.007155712127685547, | |
| 0.007185344219207764, | |
| 0.007104512214660645, | |
| 0.007010303974151612, | |
| 0.0070830078125, | |
| 0.006823935985565186, | |
| 0.006976511955261231, | |
| 0.007054336071014404, | |
| 0.006998015880584717, | |
| 0.007103487968444824, | |
| 0.006969344139099121, | |
| 0.007029759883880615, | |
| 0.006790143966674805, | |
| 0.006972415924072266, | |
| 0.007074816226959229, | |
| 0.007003136157989502, | |
| 0.00704307222366333, | |
| 0.007011328220367432, | |
| 0.0070266880989074704, | |
| 0.006965248107910156, | |
| 0.007046144008636474, | |
| 0.007051263809204102, | |
| 0.0070225920677185055, | |
| 0.007044095993041993, | |
| 0.0069928960800170895, | |
| 0.007044095993041993, | |
| 0.007009280204772949, | |
| 0.006993919849395752, | |
| 0.007197696208953858, | |
| 0.0070348801612854, | |
| 0.007063551902770996, | |
| 0.006972415924072266, | |
| 0.007031807899475098, | |
| 0.007063551902770996, | |
| 0.007147520065307617, | |
| 0.007036928176879883, | |
| 0.006964223861694336, | |
| 0.007143424034118652, | |
| 0.007013376235961914, | |
| 0.00708403205871582, | |
| 0.0069918718338012695, | |
| 0.007071743965148926, | |
| 0.007031807899475098, | |
| 0.007078911781311035, | |
| 0.006801407814025879, | |
| 0.006752255916595459, | |
| 0.007046144008636474, | |
| 0.0069928960800170895, | |
| 0.007035903930664063, | |
| 0.007261184215545655, | |
| 0.007375872135162354, | |
| 0.007214079856872559, | |
| 0.007115712165832519, | |
| 0.007068672180175781, | |
| 0.007081984043121338, | |
| 0.007155712127685547, | |
| 0.007180287837982178, | |
| 0.007201791763305664, | |
| 0.007123968124389648, | |
| 0.007228415966033935, | |
| 0.00710041618347168, | |
| 0.007144447803497315, | |
| 0.007173120021820068, | |
| 0.007110655784606934, | |
| 0.007135231971740722, | |
| 0.0071157760620117185, | |
| 0.007135231971740722, | |
| 0.00709222412109375, | |
| 0.00713318395614624, | |
| 0.007097343921661377, | |
| 0.007134208202362061, | |
| 0.007158720016479493, | |
| 0.007396351814270019, | |
| 0.007189504146575928, | |
| 0.007173120021820068, | |
| 0.007164927959442138, | |
| 0.007156735897064209, | |
| 0.007011328220367432, | |
| 0.007130112171173096, | |
| 0.007147520065307617, | |
| 0.00714137601852417, | |
| 0.007131135940551757, | |
| 0.007088128089904785, | |
| 0.006974463939666748, | |
| 0.0067870721817016606, | |
| 0.006723584175109864, | |
| 0.006689792156219483, | |
| 0.006765567779541016, | |
| 0.006754303932189941, | |
| 0.006758399963378906, | |
| 0.006751232147216797, | |
| 0.006782976150512696, | |
| 0.00672051191329956, | |
| 0.006752255916595459, | |
| 0.006813695907592773, | |
| 0.0067420158386230465, | |
| 0.006761472225189209, | |
| 0.006765567779541016, | |
| 0.006761472225189209, | |
| 0.0067717118263244626, | |
| 0.006782976150512696, | |
| 0.006801407814025879, | |
| 0.006714367866516113, | |
| 0.006751232147216797, | |
| 0.00673689603805542, | |
| 0.006714335918426514, | |
| 0.006731776237487793, | |
| 0.006732800006866455, | |
| 0.00675328016281128, | |
| 0.0067051839828491215, | |
| 0.006725632190704346, | |
| 0.006746111869812011, | |
| 0.006719488143920899, | |
| 0.006755328178405762, | |
| 0.00674508810043335, | |
| 0.006726655960083008, | |
| 0.006713344097137451, | |
| 0.006711296081542969 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 142.06278909842536 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 8.089918127946575e-08, | |
| "ram": 4.408049759546888e-08, | |
| "gpu": 1.528931684217702e-07, | |
| "total": 2.7787284729670483e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 3598768.320577318 | |
| } | |
| } | |
| } | |
| } |