{ "config": { "name": "cuda_inference_transformers_multiple-choice_FacebookAI/roberta-base", "backend": { "name": "pytorch", "version": "2.4.1+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": "0.34.0", "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": "0.12.0", "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 801.153024, "max_global_vram": 1185.415168, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 499.37152 }, "latency": { "unit": "s", "count": 1, "total": 7.84514453125, "mean": 7.84514453125, "stdev": 0.0, "p50": 7.84514453125, "p90": 7.84514453125, "p95": 7.84514453125, "p99": 7.84514453125, "values": [ 7.84514453125 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 9.18740031250012e-07, "ram": 4.6673422835674495e-07, "gpu": 1.8272236839999602e-06, "total": 3.2126979436067174e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1096.433664, "max_global_vram": 1195.900928, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 509.038592 }, "latency": { "unit": "s", "count": 132, "total": 0.9987070064544677, "mean": 0.007565962170109605, "stdev": 0.00011948616148002724, "p50": 0.007539711952209473, "p90": 0.007718604898452759, "p95": 0.007805286359786987, "p99": 0.00785348940372467, "values": [ 0.00773529577255249, 0.007840767860412597, 0.007806975841522217, 0.007772160053253174, 0.007840767860412597, 0.007718912124633789, 0.007710720062255859, 0.007739391803741455, 0.00769536018371582, 0.00765235185623169, 0.007633920192718506, 0.007710720062255859, 0.007715839862823487, 0.00765334415435791, 0.007604159832000732, 0.007624671936035156, 0.007655360221862793, 0.007679999828338623, 0.007622655868530274, 0.0076308479309082035, 0.007623680114746094, 0.007617536067962646, 0.007549952030181885, 0.007528448104858398, 0.007574528217315674, 0.007613440036773681, 0.007702527999877929, 0.007628736019134522, 0.007619584083557129, 0.0075970559120178225, 0.007591936111450195, 0.007605247974395752, 0.007623680114746094, 0.007584767818450928, 0.007552000045776367, 0.0075121278762817385, 0.0074967041015625, 0.0075304961204528805, 0.007527423858642578, 0.007524352073669433, 0.007543807983398438, 0.007575551986694336, 0.007535615921020508, 0.007554048061370849, 0.007775231838226319, 0.007671807765960693, 0.007661568164825439, 0.007675903797149658, 0.007592959880828858, 0.007494656085968018, 0.007527423858642578, 0.007610367774963379, 0.007582719802856445, 0.007559167861938477, 0.007532544136047363, 0.007574528217315674, 0.007459839820861816, 0.007507967948913574, 0.007522304058074952, 0.007517151832580567, 0.007621632099151611, 0.007522304058074952, 0.007498752117156982, 0.0075008001327514645, 0.007531519889831543, 0.007516191959381103, 0.007497695922851563, 0.007528512001037597, 0.007553023815155029, 0.007649280071258545, 0.007676928043365478, 0.0075939841270446775, 0.007641088008880615, 0.0075642881393432615, 0.007526400089263916, 0.007551968097686768, 0.007605247974395752, 0.007524352073669433, 0.007647232055664062, 0.007514175891876221, 0.007511040210723877, 0.007523327827453613, 0.007384064197540283, 0.007528448104858398, 0.0074700798988342285, 0.007269375801086426, 0.007188479900360107, 0.007703551769256592, 0.0077281279563903805, 0.007825407981872558, 0.007803904056549072, 0.00785203218460083, 0.007938047885894776, 0.007854144096374511, 0.00755295991897583, 0.00745472002029419, 0.007546879768371582, 0.007457791805267334, 0.007483391761779785, 0.00748854398727417, 0.007518208026885987, 0.007472127914428711, 0.00745472002029419, 0.007436287879943848, 0.00743936014175415, 0.007426047801971435, 0.007442431926727295, 0.0074414081573486324, 0.007460864067077637, 0.007609344005584716, 0.007480319976806641, 0.0073994240760803225, 0.0074291200637817386, 0.007431168079376221, 0.007436287879943848, 0.0074414081573486324, 0.007448575973510742, 0.0074587841033935546, 0.007527423858642578, 0.007458816051483155, 0.0074618239402770995, 0.007477248191833496, 0.007464960098266602, 0.007532544136047363, 0.007480319976806641, 0.0074629120826721195, 0.007442431926727295, 0.007432191848754883, 0.007426047801971435, 0.0074700798988342285, 0.007426047801971435, 0.007464960098266602 ] }, "throughput": { "unit": "samples/s", "value": 132.17089611558464 }, "energy": { "unit": "kWh", "cpu": 8.845637047056412e-08, "ram": 4.8362797051725846e-08, "gpu": 1.7416058708955042e-07, "total": 3.109797546118404e-07 }, "efficiency": { "unit": "samples/kWh", "value": 3215643.41462737 } } } }