tensorflow / tensorflow/probability
[Request] Update examples for eager execution
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
There are many great examples provided in the docs:
https://www.tensorflow.org/probability/api_docs/python/tfp/trainable_distributions/normal#examples
However, we should also provide a version of that with eager execution in mind. The current example does not work with eager execution, and it is not immediately straightforward to convert the script.
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 with the linked tfp.trainable_distributions.normal API documentation and inspect its current example. Adapt the example for eager execution, then verify that the documented script runs successfully without graph-mode conversion steps.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100