Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a powerful technique for scaling machine learning model training across many devices, like GPUs or machines. This https://ddp189841.pointblog.net/parallelism-manual-to-parallel-training-96608479