Open superlxt opened 5 years ago
For faster training. After each epoch, it costs some time to restart the data loaders and in some environments, it will cost too much time. So we enlarge the dataset to decrease the epoch numbers. It will not influence the training.
Hello, thanks for your great work, we found that in the train. py , you use dataset_radio to enlarge the size of epoch, for distributed train, my question is that why you enlarge the dataset? what's the function of the dataset_radio