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Automatic pytorch version for cuda installation

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
15/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python, pytorch
Domain
machine-learning

Research direction

The issue provides no body, files, tests, or entry points. Start by inspecting the repository's installation and dependency configuration to find how CUDA installations select PyTorch versions. Done means the installation automatically chooses a compatible PyTorch version for the requested CUDA setup, with the behavior documented or tested.

Written by the indexing model from the issue text.

Description

This issue has no description.

Dominant language
Python
Stars
107
Forks
11
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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