Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Hific Colab codes are outdated

Open
#125 9 comments 0 reactions 1 assignee View on GitHub

@fab-jul is already working on this.

Since Feb 23, 2022.

Assessment

This issue has not been assessed yet.

Description

Hello Dr. Balle,

Please check the Colab codes. Can you change the codes and other necessary Tensorflow Compression codes (such as hyperprior models) to fully support Tensorflow 2? New NVIDIA cards do not support old CUDNN libraries that are for Tensorflow 1.15. That can be a big issue if more people buy new NVIDIA cards that cannot support Tensorflow version 1. They might give up Tensorflow Compression or even Tensorflow, and go completely to Pytorch.

Yes, there are Pytorch codes for Hyperprior and Hific. But they might not be official codes so the results by these codes might be not accurate.

Tensorflow version 2 doesn't support LPIPS loss. The pretrained neural network for LPIPS is not in Tensorflow 2. Can you also provide some codes for that?

I understand you are busy. But hope you can solve the most issues. Thank you!

Sincerely,
Yifei

Dominant language
Python
Stars
923
Forks
258
PR merge metrics
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from tensorflow/compression

All issues in tensorflow/compression

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.