torch version to run a demo code for FNet about annotated_deep_learning_paper_implementations HOT 6 CLOSED

Downgraded the versions to torch==1.8, and torchtext==0.9.

Re-added min_freq=1 back to nlp-classification

The FNet model is now training.

I was getting my error due to the same issue, and having removed the min_freq arg.

Let me know if you need anything else! Thanks for the help! (I am not the OP so you might wait to close until he confirms fix too.)

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I ran into the same exact issue. I deleted the min_freq from the nlp_classification.py and then I ended up with another error.

IndexError: index out of range in self

Seems to be more than one issue with the FNet code...

from annotated_deep_learning_paper_implementations.

Hi,

I am sorry, I don't know why you get this error.

Vocab accepts parameter min_freq - documentation, and you have the latest version (same as documentation).

Can you try initializing torchtext.vocab.Vocab(Counter(), min_freq=1) and see if you still get this error?

from annotated_deep_learning_paper_implementations.

Ok, great I could reproduce the error on google colab. I'll see whats going on and get back to you.

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found it, looks like its a function vocab class Vocab used to take these parameters as input in older torchtext versions. Will upgrade my setup and update the code. Thanks for opening the issue.

from annotated_deep_learning_paper_implementations.

Looks like torchtext=0.10 requires torch=1.9, can you try downgrading to torchtext=0.9 for now (which uses torch=1.8)?.

I will have to test all experiments and models before moving to torch=1.9.

Thanks

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