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Hi, I don't if wrapping the dataset creation part inside the training function is a good idea... One possible issue is that when using multiple gpus the MNIST dataset is downloaded twice... Perhaps it's better to create a Dataset object in the main function and pass it into the train function, and create the distributed sampler within? Thanks for your help
The text was updated successfully, but these errors were encountered:
Hi, I don't if wrapping the dataset creation part inside the training function is a good idea... One possible issue is that when using multiple gpus the MNIST dataset is downloaded twice... Perhaps it's better to create a Dataset object in the main function and pass it into the train function, and create the distributed sampler within? Thanks for your help
The text was updated successfully, but these errors were encountered: