tensorflow / tensorflow/probability
PyTorch support
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Description
Would it be feasible at all to add PyTorch support as a substrate?
Besides the obvious use case, this would enable researchers to implement framework-agnostic probabilistic algorithms that use a Numpy-like API to execute on TF2, JAX, PyTorch.
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
No files, tests, or entry points are named. Start by reviewing how the existing TensorFlow 2 and JAX substrates expose the Numpy-like API, then assess the scope of adding PyTorch support. Done should include a clear feasibility conclusion and an agreed implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- numpy, pytorch, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100