{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.3.1+rocm5.7", "_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": "6", "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": false, "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": "warn", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.256576, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-101-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]", "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 8, "gpu_vram_mb": 549621596160, "optimum_benchmark_version": "0.4.0", "optimum_benchmark_commit": null, "transformers_version": "4.44.2", "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": "0.12.0", "peft_commit": null } }, "report": { "load": { "memory": { "unit": "MB", "max_ram": 1056.960512, "max_global_vram": 68702.69952, "max_process_vram": 47154.93376, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 8.7640234375, "mean": 8.7640234375, "stdev": 0.0, "p50": 8.7640234375, "p90": 8.7640234375, "p95": 8.7640234375, "p99": 8.7640234375, "values": [ 8.7640234375 ] }, "throughput": null, "energy": null, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1190.985728, "max_global_vram": 68702.69952, "max_process_vram": 296976.40448, "max_reserved": 773.849088, "max_allocated": 745.086976 }, "latency": { "unit": "s", "count": 75, "total": 1.0003077135086056, "mean": 0.013337436180114744, "stdev": 0.001438782670924484, "p50": 0.01295442771911621, "p90": 0.014309918022155761, "p95": 0.014741839218139648, "p99": 0.019437880554199243, "values": [ 0.013659387588500977, 0.01296450710296631, 0.012876667022705079, 0.012898107528686524, 0.012996506690979005, 0.013119868278503418, 0.013457148551940919, 0.012646586418151855, 0.01234114646911621, 0.01231186580657959, 0.012231386184692383, 0.01223442554473877, 0.012306105613708497, 0.012468666076660155, 0.023182287216186523, 0.01616131591796875, 0.013132026672363281, 0.012864188194274902, 0.01305602741241455, 0.012957147598266602, 0.012652986526489258, 0.012865786552429198, 0.01313666820526123, 0.012791546821594238, 0.013150748252868652, 0.012992027282714844, 0.013451228141784668, 0.012937787055969239, 0.012938748359680176, 0.013021467208862304, 0.013150906562805176, 0.012846427917480469, 0.012873786926269531, 0.01270562744140625, 0.01295442771911621, 0.01269106674194336, 0.01269730567932129, 0.01271794605255127, 0.012923068046569824, 0.012682746887207032, 0.012715867042541504, 0.012718747138977051, 0.012985946655273438, 0.01267842674255371, 0.01272146701812744, 0.012685306549072265, 0.012981468200683594, 0.018122278213500976, 0.012847387313842773, 0.013543548583984375, 0.013851709365844726, 0.013556029319763184, 0.013581628799438477, 0.013130587577819824, 0.013294108390808105, 0.012739706993103027, 0.01268162727355957, 0.012691547393798828, 0.012952346801757813, 0.012785946846008301, 0.012714747428894044, 0.01286546802520752, 0.013009306907653808, 0.012856186866760254, 0.014255870819091796, 0.014298110008239747, 0.014335390090942382, 0.013565949440002441, 0.013775548934936523, 0.013489628791809082, 0.014909951210021973, 0.014317790031433105, 0.014669791221618652, 0.014363071441650391, 0.013567547798156738 ] }, "throughput": { "unit": "samples/s", "value": 74.97692858624025 }, "energy": null, "efficiency": null } } }