{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.4.0+cu124", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "model_type": "deberta-v2", "model": "microsoft/deberta-v3-base", "processor": "microsoft/deberta-v3-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-5.10.223-211.872.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": "0.30.1", "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": 772.816896, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.40680419921875, "mean": 7.40680419921875, "stdev": 0.0, "p50": 7.40680419921875, "p90": 7.40680419921875, "p95": 7.40680419921875, "p99": 7.40680419921875, "values": [ 7.40680419921875 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.110028706250669e-06, "ram": 5.751037060231869e-07, "gpu": 1.707501366000029e-06, "total": 3.392633778273885e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1160.544256, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 68, "total": 1.0015630092620849, "mean": 0.014728867783265953, "stdev": 0.0004061446382401154, "p50": 0.014792191982269286, "p90": 0.015143731212615967, "p95": 0.015437078523635864, "p99": 0.015783229150772096, "values": [ 0.015645695686340333, 0.015446016311645508, 0.01510707187652588, 0.014659520149230956, 0.015420479774475098, 0.014887935638427734, 0.014803968429565429, 0.015073247909545898, 0.015135744094848632, 0.014856127738952637, 0.014972928047180176, 0.014931008338928223, 0.015067135810852051, 0.014803968429565429, 0.014981120109558106, 0.01484390354156494, 0.01478656005859375, 0.014827520370483398, 0.015040512084960938, 0.01506608009338379, 0.016062463760375977, 0.015446016311645508, 0.01489305591583252, 0.015058943748474121, 0.014911487579345703, 0.014183327674865723, 0.014230527877807618, 0.014705663681030273, 0.01484390354156494, 0.014844863891601563, 0.014767104148864747, 0.014973952293395995, 0.015332351684570313, 0.015162367820739747, 0.014935040473937988, 0.014757887840270996, 0.014914560317993163, 0.01476198387145996, 0.014834688186645508, 0.014624768257141114, 0.01444863986968994, 0.0147640323638916, 0.014963711738586426, 0.01509887981414795, 0.014797823905944824, 0.014517248153686524, 0.014379008293151856, 0.0142807035446167, 0.014367744445800782, 0.014318592071533203, 0.01427455997467041, 0.014279680252075195, 0.01420902442932129, 0.014252032279968262, 0.014269439697265626, 0.014201855659484864, 0.014276608467102051, 0.014411775588989258, 0.014343168258666992, 0.014238752365112305, 0.01426636791229248, 0.014287872314453125, 0.014240768432617188, 0.014277631759643555, 0.014224384307861328, 0.014353407859802245, 0.014270463943481445, 0.014347328186035156 ] }, "throughput": { "unit": "samples/s", "value": 67.89388123479114 }, "energy": { "unit": "kWh", "cpu": 1.7057725996033294e-07, "ram": 9.321212054105407e-08, "gpu": 3.6278997277144255e-07, "total": 6.265793532728295e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1595967.046754209 } } } }