tensorflow / tensorflow/transform
TFT doesn't support recent versions of protobuf.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 989
- Forks
- 225
- PR merge metrics
- No merged PRs in 30d
Description
TFT requires protobuf 5.x: https://github.com/tensorflow/transform/blob/339b0cba4ab6e511c47ba20d576d6f2f08d603ba/setup.py#L51
This conflicts with other GCP deps, for example recent version of grpcio-status requries protobuf 6.x. Furthermore, Protobuf 5.x reaches EOL in a couple of weeks: https://protobuf.dev/support/version-support/#python
This makes it complicated for projects to depend on TFT.
Could we ensure that TFT requirements are periodically updated to bump upper bounds for TFT dependencies? Thanks!
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at setup.py around the protobuf requirement cited in the issue, then review how TFT dependencies are declared and tested. Check the current protobuf compatibility against the stated GCP dependency conflict; done means the requirements no longer unnecessarily block supported recent protobuf versions and the dependency update expectation is addressed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- build-system
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100