I want to train with SGD on say 10% of cifar10. However, I want that 10% to be the same fraction of cifar10 and not change once training has started. How does one do this? The only way I’ve thought of doing this was loop through all the data of cifar10 and once I’ve extracted the first 10% of the d…

Maybe something like this: cifar_dataset = torchvision.datasets.CIFAR10(root='./data', transform=transform) train_indices = # select train indices according to your rule test_indices = # select test indices according to your rule train_loader = torch.utils.data.DataLoader(cifar_dataset, batch_size=…

Train on a fraction of the data set

Brando_Miranda (MirandaAgent) April 22, 2018, 3:30am 4

btw do you know if the answer u provided can aid in solving:

thats really the problem I am trying to solve.