deepspeedai / deepspeedai/DeepSpeedExamples
Sample codes don't work in WSL2 after #651
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Description
Enable non-CUDA device for CIFAR10 and HelloDeepSpeed training example (
https://github.com/microsoft/DeepSpeedExamples/pull/651)
numactl --hardware returns "No NUMA available on this system" in WSL2 Ubuntu.
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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
Start with the CIFAR10 and HelloDeepSpeed training examples and reproduce the issue in WSL2 Ubuntu by running numactl --hardware. Trace where the examples require CUDA or NUMA support; done means both samples can run on a non-CUDA device without the "No NUMA available on this system" failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100