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How to rearrange the sample order of a torch dataloader?

I have a "torch.utils.data.DataLoader". I want to rearrange the order of the samples. Is it possible?

Solution

  • Yes, you can use torch.utils.data.Subset and specify the indices.

    import numpy as np
import torch
from torch.utils.data import DataLoader, Subset, TensorDataset


data = np.arange(5) ** 2
dataset = TensorDataset(torch.tensor(data))

# Subset with entire Dataset in rearranged order
dataset_ordered = Subset(dataset, indices=[2, 1, 3, 4, 0])

for x in DataLoader(dataset_ordered):
    print(x)

# [tensor([4])]
# [tensor([1])]
# [tensor([9])]
# [tensor([16])]
# [tensor([0])]