{ "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-5.10.223-212.873.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": "0.30.2", "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": 772.788224, "max_global_vram": 1403.518976, "max_process_vram": 0.0, "max_reserved": 773.849088, "max_allocated": 736.603648 }, "latency": { "unit": "s", "count": 1, "total": 7.368603515625, "mean": 7.368603515625, "stdev": 0.0, "p50": 7.368603515625, "p90": 7.368603515625, "p95": 7.368603515625, "p99": 7.368603515625, "values": [ 7.368603515625 ] }, "throughput": null, "energy": { "unit": "kWh", "cpu": 1.1669743381941563e-06, "ram": 5.989852278266224e-07, "gpu": 1.6850013480002382e-06, "total": 3.450960914021017e-06 }, "efficiency": null }, "forward": { "memory": { "unit": "MB", "max_ram": 1160.269824, "max_global_vram": 1434.976256, "max_process_vram": 0.0, "max_reserved": 794.820608, "max_allocated": 753.606656 }, "latency": { "unit": "s", "count": 69, "total": 1.0089862384796142, "mean": 0.01462298896347267, "stdev": 0.00048756066809312667, "p50": 0.014569503784179687, "p90": 0.015046041679382326, "p95": 0.01546833953857422, "p99": 0.016270090026855463, "values": [ 0.01661337661743164, 0.016108543395996093, 0.01577881622314453, 0.015494144439697266, 0.015314944267272949, 0.014116864204406738, 0.013840383529663085, 0.01454694366455078, 0.014542847633361817, 0.014568448066711426, 0.014576640129089356, 0.014575615882873535, 0.014606399536132813, 0.014645248413085938, 0.014616576194763184, 0.014565376281738282, 0.014599167823791503, 0.014492671966552734, 0.014533632278442383, 0.014837759971618653, 0.014531583786010742, 0.014550016403198243, 0.01428172779083252, 0.014436351776123046, 0.014981120109558106, 0.014574591636657714, 0.014575615882873535, 0.01455513572692871, 0.01456124782562256, 0.014851103782653809, 0.014632960319519044, 0.014656512260437012, 0.014556159973144531, 0.014705663681030273, 0.014658559799194336, 0.014554112434387208, 0.014510144233703613, 0.014528512001037597, 0.014569503784179687, 0.0145797119140625, 0.014523391723632812, 0.01467084789276123, 0.014534655570983887, 0.01452236843109131, 0.014495743751525878, 0.0146626558303833, 0.014740480422973632, 0.014891008377075195, 0.014953472137451173, 0.014818304061889649, 0.014644224166870118, 0.014727168083190918, 0.014593024253845215, 0.014603263854980468, 0.014562303543090821, 0.014502911567687989, 0.01454694366455078, 0.014521344184875488, 0.015429632186889648, 0.014944255828857422, 0.015305727958679198, 0.014306303977966308, 0.013820863723754883, 0.013845536231994629, 0.01380140781402588, 0.013830143928527832, 0.01376159954071045, 0.013807616233825683, 0.013794303894042969 ] }, "throughput": { "unit": "samples/s", "value": 68.38547184149142 }, "energy": { "unit": "kWh", "cpu": 1.6809320540884398e-07, "ram": 9.143966558853958e-08, "gpu": 3.5654175628167515e-07, "total": 6.160746272790586e-07 }, "efficiency": { "unit": "samples/kWh", "value": 1623179.9780759965 } } } }