{ "config": { "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", "backend": { "name": "pytorch", "version": "2.2.2+rocm5.7", "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", "task": "token-classification", "library": "transformers", "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": {}, "hub_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, "latency": true, "memory": 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": "error", "numactl": false, "numactl_kwargs": {}, "start_method": "spawn" }, "environment": { "cpu": " AMD EPYC 7763 64-Core Processor", "cpu_count": 128, "cpu_ram_mb": 1082015.236096, "system": "Linux", "machine": "x86_64", "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", "processor": "x86_64", "python_version": "3.10.12", "gpu": [ "Advanced Micro Devices, Inc. [AMD/ATI]" ], "gpu_count": 1, "gpu_vram_mb": 68702699520, "optimum_benchmark_version": "0.2.1", "optimum_benchmark_commit": "c594845efb520077430f4fe3f536bc1756e2b290", "transformers_version": "4.42.3", "transformers_commit": null, "accelerate_version": "0.31.0", "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": { "forward": { "memory": { "unit": "MB", "max_ram": 1027.989504, "max_global_vram": 1122.861056, "max_process_vram": 230388.92032, "max_reserved": 773.849088, "max_allocated": 745.087488 }, "latency": { "unit": "s", "count": 73, "total": 0.9966716995239261, "mean": 0.013653036979779805, "stdev": 0.0007702390262521916, "p50": 0.013402519226074218, "p90": 0.014918194389343262, "p95": 0.015222482681274413, "p99": 0.015808906173706058, "values": [ 0.014950034141540527, 0.015393074035644532, 0.015108755111694336, 0.01544011402130127, 0.015420754432678223, 0.015090675354003906, 0.014664435386657714, 0.014511795997619628, 0.0147908353805542, 0.014112756729125977, 0.013835798263549805, 0.013993396759033203, 0.013881558418273926, 0.013745718002319336, 0.013756598472595215, 0.01369451904296875, 0.01379611873626709, 0.013701719284057617, 0.014248757362365723, 0.013920277595520019, 0.01675722885131836, 0.013791478157043457, 0.013402519226074218, 0.01305403995513916, 0.013264439582824706, 0.01302828025817871, 0.013303799629211426, 0.013056920051574708, 0.013544919013977051, 0.01325771999359131, 0.013041879653930664, 0.013009401321411132, 0.013227479934692383, 0.013080439567565917, 0.013026680946350098, 0.013414519309997559, 0.012973560333251952, 0.012987160682678222, 0.013378838539123535, 0.012998041152954101, 0.013001720428466796, 0.013438678741455079, 0.013034681320190429, 0.012991800308227539, 0.013433399200439454, 0.013047321319580078, 0.01303339958190918, 0.0134679594039917, 0.013059639930725097, 0.013094520568847657, 0.01497531509399414, 0.014659475326538086, 0.013746519088745118, 0.014140756607055664, 0.013616598129272461, 0.013218199729919434, 0.013154199600219726, 0.013076760292053223, 0.013583958625793457, 0.01316331958770752, 0.013132280349731445, 0.013074040412902832, 0.013099800109863282, 0.013638198852539063, 0.013154840469360352, 0.013215640068054198, 0.013049880027770995, 0.013165399551391602, 0.013699638366699218, 0.013069721221923828, 0.013079639434814452, 0.013107480049133301, 0.013589879035949708 ] }, "throughput": { "unit": "samples/s", "value": 73.24377729885325 }, "energy": null, "efficiency": null } } }