For the nvidia jetson package , the pytorch and torchvision version compatibility does not work if you follow the compatibility table
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Description
📚 The doc issue
When a user has to install something like detectron2 , the user needs torch, torchvision and cuda tool kit. The version for each must be compatible. The compatibility table works very well for Desktop or Linux based machines with GPU. The compatibility table does not work for arm architectures and this information is not provided anywhere
Suggest a potential alternative/fix
A suggestion is to probably have the table modified for arm based architectures.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named in the issue. First locate the compatibility table and verify the PyTorch, torchvision, and CUDA combinations for NVIDIA Jetson ARM devices; done means the documentation clearly includes supported ARM-specific versions or points users to authoritative compatibility information.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- documentation, embedded-iot, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100