tensorflow / tensorflow/privacy
Python version restricted to >=3.9, inability to use official docker containers of tensorflow
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- Dominant language
- Python
- Stars
- 2k
- Forks
- 477
- Avg merge
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- Merged PRs (30d)
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Description
Since the addition of dp-accounting, the minimum version of python required to use the latest releases of this package is restricted to >=3.9. This restriction causes plenty of inconsistencies when using the official docker images for tensorflow and the official nvidia tensorflow images, given that they only support python3.8.
To sum up, it is not possible to use the latest version of tensorflow-privacy with the official docker containers of tensorflow due to the python version required.
Consequently, it will be nice to add a note in the README indicating that the python version required is >=3.9.
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 by reading the README and checking how it currently describes the required Python version. Add a note explaining the Python >=3.9 requirement and its incompatibility with the referenced TensorFlow Docker images, then verify that the README accurately reflects the latest package requirements.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 50/100