{ "config": { "name": "cuda_inference_transformers_fill-mask_google-bert/bert-base-uncased", "backend": { "name": "pytorch", "version": "2.3.1+cu121", "_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": 66697.293824, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.10.219-208.866.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": "0.3.1", "optimum_benchmark_commit": null, "transformers_version": "4.43.1", "transformers_commit": null, "accelerate_version": "0.33.0", "accelerate_commit": null, "diffusers_version": "0.29.2", "diffusers_commit": null, "optimum_version": null, "optimum_commit": null, "timm_version": "1.0.7", "timm_commit": null, "peft_version": null, "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 713.736192, "max_global_vram": 1218.9696, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 533.571072 }, "latency": { "unit": "s", "count": 1, "total": 7.18426318359375, "mean": 7.18426318359375, "stdev": 0.0, "p50": 7.18426318359375, "p90": 7.18426318359375, "p95": 7.18426318359375, "p99": 7.18426318359375, "values": [ 7.18426318359375 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 9.834660424126518e-07, "ram": 5.232740623496094e-07, "gpu": 1.6541679899997538e-06, "total": 3.160908094762015e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 880.49664, "max_global_vram": 1229.45536, "max_process_vram": 0.0, "max_reserved": 589.299712, "max_allocated": 449.025024 }, "latency": { "unit": "s", "count": 186, "total": 1.0007860469818108, "mean": 0.005380570145063502, "stdev": 0.00022632735451579743, "p50": 0.005322751998901367, "p90": 0.005645824193954468, "p95": 0.005715711951255798, "p99": 0.00618864631652832, "values": [ 0.005757952213287353, 0.006159359931945801, 0.0057190399169921875, 0.005699584007263184, 0.00566476821899414, 0.005667840003967285, 0.00566476821899414, 0.005633024215698243, 0.005658624172210694, 0.005414912223815918, 0.005347328186035156, 0.005287936210632324, 0.005303296089172363, 0.0053678078651428224, 0.005349376201629639, 0.0053043198585510255, 0.005201920032501221, 0.005152768135070801, 0.005195839881896973, 0.005262335777282715, 0.005346303939819336, 0.0053821439743042, 0.005362688064575195, 0.005401599884033203, 0.005403679847717285, 0.005343232154846191, 0.005494783878326416, 0.005214208126068115, 0.005238783836364746, 0.00537497615814209, 0.00538316822052002, 0.005597184181213379, 0.005677055835723877, 0.005345280170440674, 0.005401599884033203, 0.005354496002197265, 0.005307392120361328, 0.005339136123657226, 0.005347328186035156, 0.005312511920928955, 0.0053637118339538575, 0.005379072189331055, 0.005262335777282715, 0.005156864166259765, 0.0051998720169067385, 0.00536575984954834, 0.005305344104766845, 0.005313536167144775, 0.00520908784866333, 0.005255167961120606, 0.005292031764984131, 0.005246975898742676, 0.005381120204925537, 0.005347328186035156, 0.005400576114654541, 0.005409791946411133, 0.005375999927520752, 0.005354496002197265, 0.005354496002197265, 0.005314559936523438, 0.005253119945526123, 0.005264383792877197, 0.005329919815063477, 0.005433343887329102, 0.0053340158462524415, 0.005530623912811279, 0.005590015888214111, 0.005629951953887939, 0.005567488193511963, 0.005445631980895996, 0.005493760108947754, 0.0055582718849182125, 0.0055511040687561035, 0.005697535991668701, 0.005603328227996827, 0.00547430419921875, 0.005560319900512695, 0.005553152084350586, 0.005574656009674072, 0.0054917120933532714, 0.005573631763458252, 0.005544960021972656, 0.005553152084350586, 0.005617663860321045, 0.0056852478981018065, 0.005705728054046631, 0.005389311790466309, 0.00538316822052002, 0.005351424217224121, 0.005371903896331787, 0.005337088108062744, 0.00531660795211792, 0.0053637118339538575, 0.0052971520423889164, 0.005192704200744629, 0.005292031764984131, 0.005321728229522705, 0.005361663818359375, 0.005212160110473632, 0.005082111835479736, 0.004994048118591309, 0.005094399929046631, 0.005258240222930908, 0.005187583923339844, 0.004973567962646484, 0.0050094079971313476, 0.004932608127593994, 0.004955135822296143, 0.005014527797698975, 0.004983808040618896, 0.005362720012664795, 0.005455872058868408, 0.005326848030090332, 0.005371903896331787, 0.0054568958282470706, 0.005527552127838135, 0.0063836159706115725, 0.0060999679565429685, 0.006096896171569824, 0.006095871925354004, 0.006162432193756104, 0.006209536075592041, 0.005377024173736572, 0.005283840179443359, 0.0052367358207702636, 0.006184959888458252, 0.005496831893920898, 0.0053606400489807126, 0.005255167961120606, 0.005187583923339844, 0.005230591773986816, 0.005355519771575928, 0.005202943801879883, 0.005391359806060791, 0.005254144191741943, 0.005323775768280029, 0.005393407821655274, 0.005243904113769531, 0.0053002238273620605, 0.0052705278396606445, 0.005298175811767578, 0.0053002238273620605, 0.005279744148254394, 0.005245952129364013, 0.0052971520423889164, 0.005232639789581299, 0.005312511920928955, 0.005281792163848877, 0.005305344104766845, 0.005278719902038574, 0.005454847812652588, 0.0053002238273620605, 0.005318655967712403, 0.00526643180847168, 0.005351424217224121, 0.005273600101470947, 0.005264383792877197, 0.005283840179443359, 0.005256192207336426, 0.005275648117065429, 0.005237760066986084, 0.005299200057983398, 0.005249023914337158, 0.0052408318519592285, 0.005272575855255127, 0.005253119945526123, 0.005242879867553711, 0.005273600101470947, 0.005239808082580567, 0.005250048160552978, 0.00522649621963501, 0.005310463905334473, 0.005298175811767578, 0.00537395191192627, 0.005255167961120606, 0.005259263992309571, 0.005235712051391602, 0.005292031764984131, 0.005286911964416504, 0.005234687805175781, 0.00530841588973999, 0.005258240222930908, 0.005302271842956543, 0.005259263992309571, 0.0052930560111999515, 0.005234687805175781 ] }, "throughput": { "unit": "samples/s", "value": 185.85391009491204 }, "energy": { "unit": "kWh", "cpu": 6.195187861858696e-08, "ram": 3.387142891747352e-08, "gpu": 1.2740750933333048e-07, "total": 2.2323081686939095e-07 }, "efficiency": { "unit": "samples/kWh", "value": 4479668.237674752 } } } }