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ramanishka avatar ramanishka commented on July 30, 2024

@YupengGao Correct me if I'm wrong but it takes original captions and returns newly created tensor with zeros. This data loader ignores captions.

    target_images, candidate_images, captions, meta = zip(*data)
    ...
    captions = torch.zeros(len(captions), max(lengths)).long()
    for i, cap in enumerate(captions):
        end = lengths[i]
        captions[i, :end] = cap[:end]
    ...
    return target_images, candidate_images, captions, lengths, meta

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YupengGao avatar YupengGao commented on July 30, 2024

@ramanishka Thanks for spotting the bug. I have fixed it.

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zxh19976666 avatar zxh19976666 commented on July 30, 2024

How to divide the datasets into training set and test set,I have download all images,but how to divide it?

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zxh19976666 avatar zxh19976666 commented on July 30, 2024

These lines apparently copy zeroes from the newly created tensor instead of actual token ids:

captions = torch.zeros(len(captions), max(lengths)).long()
for i, cap in enumerate(captions):
end = lengths[i]
captions[i, :end] = cap[:end]

How to divide the datasets into training set and test set,I have download all images,but how to divide it?

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