Distributed Training, Model Parallelism, Data Parallelism, Pytorch, Aurorain.
develop in PyTorch. Understanding Distributed Parallel Training Distributed parallel training has two high-level concepts: parallelism and distribution. Parallelism is a framework strategy to tackle the size of large models or improve training efficiency, and distribution is an infrastructure