Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a significant technique for scaling machine learning model training across many devices, like GPUs or machines. This https://ddp525216.blog-gold.com/784415/ddp-the-manual-to-decentralized-data-parallelism