Integration with CUDA.jl
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- julia
- Domain
- documentation, machine-learning
Research direction
Review the existing documentation and tutorials for examples involving CUDA.jl, Tracker, Zygote, and the Bayesian HMM. Determine whether a reverse-mode AD example with the Bayesian HMM and loop implementation can be documented, then ensure the resulting example clearly explains the integration and its loop-support limitations.
Written by the indexing model from the issue text.
Description
Is there an example demonstrating integration with CUDA.jl? I'd be particularly interested in an example using reverse mode AD and the Bayesian HMM, since it's implementation involves a loop. It doesn't seem Tracker or Zygote support loops yet.
- Dominant language
- Markdown
- Stars
- 238
- Forks
- 107
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 3
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing 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.
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