annotated TFvisionEncoderDecoder input type hints
Author: miyu386
Pull request: yes

Co-authored-by: JuheonChu <chuj@dickinson.edu>
Co-authored-by: AdiaWu <wua@dickinson.edu>

# What does this PR do?

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Fixes issue #[16059](https://github.com/huggingface/transformers/issues/16059)


## Before submitting
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Models:

- text models: @ArthurZucker and @younesbelkada
- vision models: @amyeroberts and @NielsRogge
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Library:

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Comments:
_The documentation is not available anymore as the PR was closed or merged._

Hello @Rocketknight1, I have one failing CircleCI test yet to resolve [here](https://app.circleci.com/pipelines/github/huggingface/transformers/56839/workflows/c6593d32-bae5-46fa-96cb-d0d05bdee084/jobs/687513?invite=true#step-110-7710) that I need some help with. I tried searching for solutions but couldn't find anything that fixes it. I'm assuming I'm either missing or need to upgrade some package but can't quite pinpoint the issue.

Hi @miyu386 - a couple of the issues were caused by a difference between two copied functions. Running `make fix-copies` fixed that!

The other issues are in our CI - they're caused by a version mismatch in TF vs. TF Probability. This can be fixed by rebasing your PR, but these issues will also be fixed when we merge the PR.

If you're happy for me to merge now, I can do that!

_The documentation is not available anymore as the PR was closed or merged._

@Rocketknight1 Thank you for the follow-up! I rebased with upstream and 1 test remained to fail. I don't know if this will be addressed when the PR gets merged, if that's the case the PR is ready to be merged now

@miyu386 Thanks for doing the rebase! The remaining issue is just a flaky test on our end in one of the PyTorch examples. It has nothing to do with your PR here, so I'm happy to merge now. Thanks for your contribution!