{ "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": 788.983808, "max_global_vram": 1185.415168, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 499.37152 }, "latency": { "unit": "s", "count": 1, "total": 7.39186572265625, "mean": 7.39186572265625, "stdev": 0.0, "p50": 7.39186572265625, "p90": 7.39186572265625, "p95": 7.39186572265625, "p99": 7.39186572265625, "values": [ 7.39186572265625 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 9.325796131946224e-07, "ram": 4.954406815166368e-07, "gpu": 1.9386126619996315e-06, "total": 3.366632956710891e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1084.895232, "max_global_vram": 1195.900928, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 509.038592 }, "latency": { "unit": "s", "count": 132, "total": 0.9998591680526737, "mean": 0.007574690667065707, "stdev": 0.00019883643289373554, "p50": 0.0075202400684356695, "p90": 0.0077738272190094, "p95": 0.007945062470436096, "p99": 0.008360550460815429, "values": [ 0.007974912166595459, 0.007988224029541016, 0.008114144325256348, 0.008016863822937011, 0.008713215827941894, 0.007472127914428711, 0.0071577920913696285, 0.0071485438346862796, 0.007169023990631103, 0.008261631965637208, 0.007547904014587403, 0.007531519889831543, 0.007522304058074952, 0.0075038719177246095, 0.007505919933319092, 0.007535615921020508, 0.007519231796264648, 0.007580671787261963, 0.007889920234680176, 0.007535615921020508, 0.007542784214019775, 0.007542719841003418, 0.007519231796264648, 0.007501823902130127, 0.007494656085968018, 0.007868415832519531, 0.007590911865234375, 0.007591936111450195, 0.007568384170532226, 0.007540736198425293, 0.007621632099151611, 0.007674880027770996, 0.007681024074554443, 0.007517183780670166, 0.007574528217315674, 0.00840499210357666, 0.007919616222381591, 0.007553023815155029, 0.0074926080703735356, 0.007536640167236328, 0.007504896163940429, 0.007514111995697022, 0.007525375843048096, 0.007529471874237061, 0.007506944179534912, 0.00769536018371582, 0.007667712211608887, 0.0075673599243164065, 0.007445504188537597, 0.007391232013702393, 0.007367680072784424, 0.007400447845458984, 0.007379968166351319, 0.007386112213134765, 0.007374847888946533, 0.007548927783966064, 0.007920639991760254, 0.007774240016937256, 0.007543807983398438, 0.007701504230499268, 0.00753868818283081, 0.007664639949798584, 0.007507967948913574, 0.007506944179534912, 0.007529471874237061, 0.007502848148345947, 0.007483359813690186, 0.007479296207427978, 0.0075008001327514645, 0.007479296207427978, 0.0074967041015625, 0.007506944179534912, 0.007490560054779053, 0.007451648235321045, 0.007651328086853027, 0.007656447887420655, 0.007516160011291504, 0.0075008320808410646, 0.007516160011291504, 0.007491583824157715, 0.007478271961212158, 0.007521279811859131, 0.0075335679054260255, 0.007511040210723877, 0.00758784008026123, 0.007540736198425293, 0.007488512039184571, 0.007506944179534912, 0.007667712211608887, 0.007675903797149658, 0.007476223945617676, 0.007483391761779785, 0.007498752117156982, 0.007602176189422607, 0.007601151943206787, 0.0074926080703735356, 0.0077281279563903805, 0.0075335679054260255, 0.007522304058074952, 0.007557119846343994, 0.007508895874023438, 0.007519231796264648, 0.007770112037658691, 0.007502848148345947, 0.007515135765075683, 0.007465983867645264, 0.007484416007995606, 0.007520224094390869, 0.007520256042480469, 0.007525375843048096, 0.007501855850219726, 0.007459839820861816, 0.007490592002868652, 0.0074741759300231934, 0.007483391761779785, 0.007833600044250488, 0.007504896163940429, 0.007550975799560547, 0.007531583786010742, 0.007520256042480469, 0.007476223945617676, 0.007523327827453613, 0.007590911865234375, 0.007483391761779785, 0.0074783039093017575, 0.007486464023590088, 0.007490560054779053, 0.007480319976806641, 0.007481344223022461, 0.007819263935089112, 0.0076984319686889645, 0.007515135765075683 ] }, "throughput": { "unit": "samples/s", "value": 132.01859243545601 }, "energy": { "unit": "kWh", "cpu": 8.642956626115046e-08, "ram": 4.725419075532512e-08, "gpu": 1.7929251975182382e-07, "total": 3.129762767682994e-07 }, "efficiency": { "unit": "samples/kWh", "value": 3195130.347659908 } } } }