{ "config": { "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.4.1+cu124", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "fill-mask", "library": "transformers", "model_type": "bert", "model": "google-bert/bert-base-uncased", "processor": "google-bert/bert-base-uncased", "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": 796.024832, "max_global_vram": 1226.309632, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 533.571072 }, "latency": { "unit": "s", "count": 1, "total": 0.215510009765625, "mean": 0.215510009765625, "stdev": 0.0, "p50": 0.215510009765625, "p90": 0.215510009765625, "p95": 0.215510009765625, "p99": 0.215510009765625, "values": [ 0.215510009765625 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 2.5331051756438685e-06, "ram": 1.3608389081806078e-06, "gpu": 5.447226579913256e-06, "total": 9.341170663737732e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1051.508736, "max_global_vram": 1236.795392, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 449.025024 }, "latency": { "unit": "s", "count": 181, "total": 1.0007748169898982, "mean": 0.005529142635303307, "stdev": 0.00029739381033940687, "p50": 0.0055214080810546875, "p90": 0.005774335861206055, "p95": 0.0058429441452026365, "p99": 0.006861004924774169, "values": [ 0.005708799839019775, 0.005815296173095703, 0.005687295913696289, 0.005596159934997558, 0.0056217598915100095, 0.00568832015991211, 0.00563097620010376, 0.005700607776641845, 0.0056852478981018065, 0.0056780800819396975, 0.005605375766754151, 0.005586944103240967, 0.005582848072052002, 0.005542912006378174, 0.005550079822540284, 0.005591040134429932, 0.005612544059753418, 0.005606400012969971, 0.005677055835723877, 0.005465087890625, 0.005447679996490478, 0.005459968090057373, 0.00550707197189331, 0.005463039875030518, 0.0055552000999450684, 0.005600255966186523, 0.005571584224700928, 0.005639167785644531, 0.0055582718849182125, 0.005535744190216065, 0.0055101442337036136, 0.005476352214813233, 0.0055101442337036136, 0.0055797758102417, 0.005577727794647217, 0.005627903938293457, 0.005578752040863037, 0.005565440177917481, 0.005574656009674072, 0.005570559978485107, 0.005563392162322998, 0.005516287803649903, 0.005541888236999512, 0.005577727794647217, 0.005566463947296142, 0.005566463947296142, 0.00557260799407959, 0.005472256183624268, 0.005422080039978027, 0.005408768177032471, 0.005429247856140137, 0.005516287803649903, 0.005477375984191894, 0.005494783878326416, 0.0054917120933532714, 0.005480447769165039, 0.005567488193511963, 0.005465087890625, 0.005505023956298828, 0.0055797758102417, 0.005626880168914795, 0.005624832153320313, 0.005590015888214111, 0.005561344146728516, 0.005626880168914795, 0.0055214080810546875, 0.005554175853729248, 0.005437439918518067, 0.005455872058868408, 0.0055848960876464845, 0.005607423782348633, 0.0055203838348388675, 0.0055623679161071774, 0.005526591777801513, 0.0055808000564575196, 0.005567488193511963, 0.005541888236999512, 0.005404672145843506, 0.005443583965301513, 0.005506048202514649, 0.0054988799095153805, 0.005485568046569824, 0.005635072231292724, 0.005545983791351319, 0.0054568958282470706, 0.005489664077758789, 0.005526527881622314, 0.005530623912811279, 0.005476352214813233, 0.005502975940704345, 0.0055101442337036136, 0.005469183921813964, 0.005819392204284668, 0.005791744232177734, 0.005864448070526123, 0.0062863359451293946, 0.006850560188293457, 0.0069027838706970214, 0.0058429441452026365, 0.005775360107421875, 0.005804031848907471, 0.005736447811126709, 0.005837823867797852, 0.005819392204284668, 0.005774335861206055, 0.005659647941589355, 0.005739520072937012, 0.005750783920288086, 0.005690368175506591, 0.005617663860321045, 0.005617663860321045, 0.005412864208221436, 0.005455872058868408, 0.005640192031860352, 0.005627903938293457, 0.00541593599319458, 0.00536678409576416, 0.00536575984954834, 0.005403647899627686, 0.0055101442337036136, 0.005603328227996827, 0.005509119987487793, 0.005629951953887939, 0.005578752040863037, 0.005656576156616211, 0.005751808166503906, 0.005777408123016357, 0.006062079906463623, 0.00658841609954834, 0.00555622386932373, 0.005252096176147461, 0.005201920032501221, 0.005253119945526123, 0.00521727991104126, 0.005222400188446045, 0.005241856098175048, 0.005228544235229492, 0.00520908784866333, 0.005257215976715088, 0.0052070398330688475, 0.005234687805175781, 0.005298175811767578, 0.005252096176147461, 0.005232672214508057, 0.005190656185150146, 0.00521727991104126, 0.005215231895446777, 0.005164031982421875, 0.005210112094879151, 0.005156864166259765, 0.005173247814178467, 0.0052070398330688475, 0.0052008957862854, 0.005179391860961914, 0.005178368091583252, 0.00522547197341919, 0.005203968048095703, 0.005212160110473632, 0.005238783836364746, 0.005164031982421875, 0.005208064079284668, 0.00522649621963501, 0.005189631938934326, 0.005194752216339111, 0.005174272060394287, 0.005185535907745361, 0.00517632007598877, 0.005167168140411377, 0.005201920032501221, 0.005167103767395019, 0.005198847770690918, 0.005216256141662597, 0.005213183879852295, 0.005234687805175781, 0.006250495910644531, 0.007079936027526855, 0.006595583915710449, 0.005483520030975342, 0.005449728012084961, 0.005433343887329102, 0.0054579200744628905 ] }, "throughput": { "unit": "samples/s", "value": 180.85986670248812 }, "energy": { "unit": "kWh", "cpu": 6.160395069548086e-08, "ram": 3.366002749918621e-08, "gpu": 1.3348888053884562e-07, "total": 2.287528587335127e-07 }, "efficiency": { "unit": "samples/kWh", "value": 4371530.06758686 } } } }