What version of tensorflow and python allows the unit tests to pass?
- Dominant language
- Python
- Stars
- 584
- Forks
- 108
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
Thank you for sharing this great repository.
Would it be possible to add a working python version and requirements file to the ReadMe? I cannot find any version of tensorflow with which I can run the tests.
Using the requierements file, I cannot install a configuration where the tests work.
For tensorflow 2.16, 2.17 and 2.18, keras-tune is too old. After updating keras-tuner, the most common error is
`E AttributeError: module 'tensorflow._api.v2.compat.v2.__internal__' has no attribute 'register_load_context_function'. Did you mean: 'register_call_context_function'?`
With tensorflow 2.13, 2.14 and 2.15 I get an error about the propbuf package version. After forcing a protobuf downgrade to 3.20.0, 20 or so of the unit test still fail for various reasons.
Contributor guide
Research direction
Begin with the repository's current README and requirements file, then run the unit-test suite under the Python and TensorFlow combinations already reported. Done means documenting a tested compatible setup and updating the requirements information so the unit tests pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras, python, tensorflow
- Domain
- documentation, machine-learning, testing-qa
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 28/100