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kylegao91 avatar kylegao91 commented on July 21, 2024

@kyteague Thanks for the very detailed issue. Currently in requirements.py we refer to a specific commit of torchtext, did you installed that commit or the latest torchtext?

Nice to know that torchtext is available on pypi now, we will keep this issue in mind when we make seq2seq depend on the pypi version.

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kylegao91 avatar kylegao91 commented on July 21, 2024

@kyteague If you want to work on this, I think the simplest and intuitive fix is this:

  1. Fix a version of torchtext in requirements.py, it doesn't matter if the sorting is reversed or not in torchtext as long as our implementation complies with that version;
  2. Intercept the pack_padded_sequence error, and in addition to the original error message, add a suggestion to install the right version of torchtext.

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kyteague avatar kyteague commented on July 21, 2024

Unfortunately there are some recent things on master in torchtext that I need, so I can't use the version listed in requirements.txt. Also, requirements.txt isn't mean for distribution. That's what setup.py is for.

I think the best solution is to simply detect the default sorting direction used in the torchtext batching code. That way the seq2seq code remains compatible with both versions of torchtext. It's unfortunate that we have to do this as I think their change was unwise.

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kylegao91 avatar kylegao91 commented on July 21, 2024

Sounds good.

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kylegao91 avatar kylegao91 commented on July 21, 2024

@kyteague Looks like torchtext has taken the reverse operation out in their latest version, and the tests of seq2seq past with the pipy version of torchtext. Could you confirm that your use case works with the text branch?

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kylegao91 avatar kylegao91 commented on July 21, 2024

Fixed in #87

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