{ "config": { "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.0+cu124", "_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": {}, "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": 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": 66697.261056, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.223-212.873.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": "0.4.0", "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": 788.840448, "max_global_vram": 1185.415168, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 499.37152 }, "latency": { "unit": "s", "count": 1, "total": 7.414328125, "mean": 7.414328125, "stdev": 0.0, "p50": 7.414328125, "p90": 7.414328125, "p95": 7.414328125, "p99": 7.414328125, "values": [ 7.414328125 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 9.115660784727217e-07, "ram": 4.838538982532713e-07, "gpu": 1.7277791600003867e-06, "total": 3.1231991367263797e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1084.719104, "max_global_vram": 1195.900928, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 509.038592 }, "latency": { "unit": "s", "count": 132, "total": 0.9968557133674619, "mean": 0.007551937222480773, "stdev": 0.00029559826934873505, "p50": 0.007555072069168091, "p90": 0.007832371234893798, "p95": 0.008144127893447876, "p99": 0.00848025592803955, "values": [ 0.00830361557006836, 0.008218624114990235, 0.008204287528991699, 0.008141823768615723, 0.008650752067565918, 0.00748748779296875, 0.007194591999053955, 0.007144447803497315, 0.0071526398658752445, 0.007109632015228271, 0.007134208202362061, 0.007105535984039306, 0.007070720195770264, 0.007076863765716553, 0.00709222412109375, 0.007098400115966797, 0.007078911781311035, 0.0070860800743103025, 0.007090112209320068, 0.00710041618347168, 0.007096320152282715, 0.007050303936004638, 0.007088128089904785, 0.007101439952850342, 0.0070860800743103025, 0.007062528133392334, 0.007088128089904785, 0.0070891518592834475, 0.007097343921661377, 0.007113728046417236, 0.007056320190429687, 0.007324607849121094, 0.008146944046020508, 0.007950335979461669, 0.008559616088867187, 0.008225791931152344, 0.007650303840637207, 0.007627840042114258, 0.007904255867004394, 0.007955455780029297, 0.007790592193603516, 0.007601151943206787, 0.007572480201721191, 0.00754585599899292, 0.007556096076965332, 0.00754585599899292, 0.007573503971099854, 0.0075447678565979, 0.007511040210723877, 0.007539711952209473, 0.007570432186126709, 0.007548927783966064, 0.007552000045776367, 0.007536640167236328, 0.007616511821746826, 0.007560192108154297, 0.007528416156768799, 0.007566336154937744, 0.007514111995697022, 0.007632895946502686, 0.007748608112335205, 0.007649280071258545, 0.007607295989990235, 0.007770112037658691, 0.007589888095855713, 0.007546879768371582, 0.007572480201721191, 0.007562240123748779, 0.00753868818283081, 0.007504896163940429, 0.007553023815155029, 0.007528448104858398, 0.007526400089263916, 0.007704576015472412, 0.007561215877532959, 0.007570432186126709, 0.007575551986694336, 0.007561215877532959, 0.0075345921516418455, 0.007502848148345947, 0.00754585599899292, 0.007560224056243897, 0.007570432186126709, 0.0075642881393432615, 0.007554048061370849, 0.007575551986694336, 0.007616511821746826, 0.007549952030181885, 0.007532544136047363, 0.0075346240997314455, 0.0077281279563903805, 0.007733248233795166, 0.007799808025360107, 0.007987199783325195, 0.00779366397857666, 0.007774208068847656, 0.007802879810333252, 0.007737343788146973, 0.007619584083557129, 0.007612415790557861, 0.007605247974395752, 0.0075970559120178225, 0.0075642881393432615, 0.00753766393661499, 0.007556096076965332, 0.007543807983398438, 0.007567327976226806, 0.007576576232910156, 0.007582752227783203, 0.0075304961204528805, 0.007552000045776367, 0.007502848148345947, 0.007870463848114014, 0.007729152202606201, 0.00783564805984497, 0.007664639949798584, 0.00765235185623169, 0.00773529577255249, 0.007613440036773681, 0.007573503971099854, 0.007600128173828125, 0.007501823902130127, 0.007526400089263916, 0.007516160011291504, 0.0074997758865356446, 0.007489535808563232, 0.007532544136047363, 0.007535615921020508, 0.007531519889831543, 0.007540736198425293, 0.007532544136047363, 0.0075335679054260255 ] }, "throughput": { "unit": "samples/s", "value": 132.4163549748769 }, "energy": { "unit": "kWh", "cpu": 8.50205023710315e-08, "ram": 4.648460536740833e-08, "gpu": 1.6103187485714467e-07, "total": 2.9253698259558455e-07 }, "efficiency": { "unit": "samples/kWh", "value": 3418371.2128542806 } } } }