Distributed training is the set of techniques for training a deep learning model using multiple GPUs and/or multiple machines. Distributing training jobs allow you to push past the single-GPU memory ...

PyTorch-Distributed-Training \n. Example of PyTorch DistributedDataParallel \n Single machine multi gpu \n '''\npython -m torch.distributed.launch --nproc_per_node=ngpus --master_port=29500 main.py ..