meta-pytorch / meta-pytorch/data
Make MPRS reuseable
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- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 179
- Avg merge
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- Merged PRs (30d)
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Description
🚀 The feature
Sorry if this is already possible, but I didn't found anything about this in the documentation. Can the same MPRS, i.e. also the same set of worker processes, be reused in multiple pipelines?
Motivation, pitch
Have the same set of worker processes for both train and eval datasets.
Alternatives
No response
Additional context
No response
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
The issue names no files or tests. Start by locating the MPRS implementation and the code that constructs pipelines, then trace worker-process creation and shutdown. A complete change should define and verify reuse of one MPRS and its worker set across multiple pipelines, including train and evaluation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100