Implement Adaptive Batch Size Scaling for Optimized Distributed Training

When training with Horovod, users often experience varying GPU load, which affects performance. Adaptive batch size scaling could dynamically adjust batch sizes based on available resources, optimizing resource utilization and training speed across nodes.