{ "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-5.10.224-212.876.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": "0.5.0", "optimum_benchmark_commit": null, "transformers_version": "4.45.0", "transformers_commit": null, "accelerate_version": "0.34.2", "accelerate_commit": null, "diffusers_version": "0.30.3", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.9", "timm_commit": null, "peft_version": "0.13.0", "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 800.989184, "max_global_vram": 1192.7552, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 499.37152 }, "latency": { "unit": "s", "count": 1, "total": 8.0051884765625, "mean": 8.0051884765625, "stdev": 0.0, "p50": 8.0051884765625, "p90": 8.0051884765625, "p95": 8.0051884765625, "p99": 8.0051884765625, "values": [ 8.0051884765625 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 8.739555025992257e-07, "ram": 4.6003388491165127e-07, "gpu": 1.7802792020571445e-06, "total": 3.1142685895680214e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1086.234624, "max_global_vram": 1203.24096, "max_process_vram": 0.0, "max_reserved": 555.74528, "max_allocated": 509.03808 }, "latency": { "unit": "s", "count": 166, "total": 0.9994996147155762, "mean": 0.006021082016358892, "stdev": 0.00022865065143940248, "p50": 0.005960703849792481, "p90": 0.00629092788696289, "p95": 0.006408695936203003, "p99": 0.006747647953033447, "values": [ 0.006329343795776367, 0.006708223819732666, 0.006344704151153564, 0.006394847869873047, 0.00642252779006958, 0.006281216144561768, 0.0062269439697265625, 0.006202367782592774, 0.006257599830627442, 0.00606822395324707, 0.006034431934356689, 0.0060026879310607914, 0.0060067839622497555, 0.00603545618057251, 0.006007808208465576, 0.005980160236358643, 0.006235136032104492, 0.006248447895050049, 0.006243296146392822, 0.006275072097778321, 0.0063836159706115725, 0.00620851182937622, 0.00611027193069458, 0.006266880035400391, 0.006207488059997559, 0.006176832199096679, 0.006194176197052002, 0.006176767826080322, 0.006205440044403076, 0.006236159801483154, 0.006227968215942382, 0.006210559844970703, 0.006472703933715821, 0.0063569917678833006, 0.0062863359451293946, 0.006270976066589356, 0.006466559886932373, 0.006275040149688721, 0.006228991985321045, 0.006145023822784424, 0.006196224212646485, 0.0062494721412658695, 0.006295519828796387, 0.006313983917236328, 0.006441984176635742, 0.00628329610824585, 0.0062638077735900875, 0.0062576642036437985, 0.006178783893585205, 0.006212607860565185, 0.00597811222076416, 0.005933055877685547, 0.006008831977844238, 0.006067200183868408, 0.005907455921173096, 0.005879776000976562, 0.005928959846496582, 0.0059688959121704105, 0.005957632064819336, 0.0059391999244689945, 0.005941247940063477, 0.005909503936767578, 0.005962751865386963, 0.006017024040222168, 0.006106080055236817, 0.0064133119583129885, 0.006071296215057373, 0.006078464031219482, 0.006082560062408447, 0.0060590081214904785, 0.0059903359413146975, 0.006013951778411865, 0.00602726411819458, 0.005983232021331787, 0.0059023361206054685, 0.0059269118309021, 0.00602726411819458, 0.005896192073822021, 0.005844992160797119, 0.005854207992553711, 0.005726272106170654, 0.005808127880096436, 0.0062494721412658695, 0.006113279819488526, 0.0059064321517944334, 0.006067200183868408, 0.006986720085144043, 0.006820864200592041, 0.006497280120849609, 0.006138879776000977, 0.006145023822784424, 0.0060692157745361325, 0.006062079906463623, 0.006232063770294189, 0.006304768085479737, 0.0059688639640808104, 0.006108160018920898, 0.0060067839622497555, 0.005958655834197998, 0.005912576198577881, 0.005917695999145508, 0.005865471839904785, 0.0059269118309021, 0.005851136207580566, 0.005884928226470947, 0.005830656051635743, 0.005825535774230957, 0.0058644161224365235, 0.005839807987213135, 0.005898240089416504, 0.0058419198989868165, 0.005884928226470947, 0.005857279777526855, 0.005852159976959229, 0.005839871883392334, 0.005831679821014404, 0.00587059211730957, 0.00582860803604126, 0.005804096221923828, 0.005797887802124023, 0.005790719985961914, 0.005799935817718506, 0.005808127880096436, 0.0058091521263122555, 0.005811200141906738, 0.005825535774230957, 0.00582041597366333, 0.005819392204284668, 0.005894144058227539, 0.005805056095123291, 0.005731328010559082, 0.005718080043792725, 0.0057292799949646, 0.0057118721008300784, 0.005818463802337646, 0.005752831935882568, 0.005706751823425293, 0.005727231979370117, 0.0057497601509094234, 0.005817344188690185, 0.005810175895690918, 0.005840896129608154, 0.005803008079528809, 0.005799935817718506, 0.0058388481140136715, 0.005829631805419922, 0.005832704067230224, 0.005850111961364746, 0.005852159976959229, 0.005819392204284668, 0.0062576642036437985, 0.0058633599281311035, 0.005881855964660645, 0.005835743904113769, 0.00586956787109375, 0.005803008079528809, 0.005808159828186035, 0.005794816017150879, 0.005829631805419922, 0.00582144021987915, 0.005796864032745362, 0.005818367958068848, 0.005808127880096436, 0.0057999038696289066, 0.005782559871673584, 0.005825535774230957 ] }, "throughput": { "unit": "samples/s", "value": 166.08310554200463 }, "energy": { "unit": "kWh", "cpu": 6.636655292832012e-08, "ram": 3.62585893603434e-08, "gpu": 1.416481580111809e-07, "total": 2.4427330029984443e-07 }, "efficiency": { "unit": "samples/kWh", "value": 4093775.2868303834 } } } }