Efficient Hyperparameter Optimization for Autonomous Driving Models with AMD Instinct GPU Partitioning
For automotive OEMs and Tier-1 suppliers, developing production-grade perception models presents a significant bottleneck: achieving the accuracy required for safety-critical applications such as forward collision warning and autonomous emergency braking demands systematic hyperparameter optimization (HPO). However, HPO requires training hundreds of model va