Hi,
What is the behavior of using DistributedDataParallel without running the training dataset using the DistributedSampler?. Will it mean that the models are deployed on multiple GPUs , but they end up working on the same data?. I am sort of confused about the behavior. Would be good to have some clarification. Thanks