The `torch.nn.parallel.distributeddataparallel` is a PyTorch module designed to facilitate distributed training of deep learning models across multiple GPUs and nodes. It efficiently manages the distribution of data and synchronization of model gradients, enabling faster training times and improved scalability. This tool connects closely with concepts like custom hardware acceleration and parallelism in training processes.
congrats on reading the definition of torch.nn.parallel.distributeddataparallel. now let's actually learn it.