tensorflow / tensorflow/probability
Saving models with DenseVariational layers
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Description
Currently, models utilising DenseVariational fail to save (in my experience), because of them lacking a get_config method. Is there any timeline on when this might be implemented?
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 reproducing the reported save failure with a model using DenseVariational, then inspect how its missing get_config affects model serialization. Done means a DenseVariational model can be saved successfully and restored without losing its configuration, with regression coverage for the failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100