Distributed Data Parallelism (DDP, often abbreviated as DDp) represents a powerful technique for scaling deep learning model training across many devices, like GPUs or machines. This approach involves replicating the https://ddp000918.blog-gold.com/788440/ddp-the-manual-to-decentralized-training