The `torch.nn.parallel.DistributedDataParallel` module in Python's PyTorch library is a parallel wrapper that allows efficient training of deep neural networks on multiple GPUs or across multiple machines. It is primarily designed for distributed training on a single machine with multiple GPUs or across multiple machines, and ensures that the operations are efficiently synchronized and the network parameters are effectively shared. This module helps to accelerate the training process by reducing the training time and improving the model's performance.
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