Error when using af.set_backend('cuda')
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 35/100
Research direction
Start by reproducing the reported af.set_backend('cuda') failure and compare af.info() and af.get_backend() with the reported CPU-only output. Inspect the Python package's backend-loading and installation entry points; done means a correctly installed CUDA-capable environment exposes the CUDA backend or the missing requirement is documented clearly.
Written by the indexing model from the issue text.
Description
When I try to switch backend using af.set_backend('cuda'), I got error like:
It seems that I do not have cuda devices as candiated backend although I have 8 gpus in fact, and the output of af.info()
In [2]: af.info()
ArrayFire v3.6.2 (CPU, 64-bit Linux, build dc38ef1)
[0] Intel: Intel(R) Xeon(R) CPU E5-2699 v4 @ 2.20GHz, 257588 MB, Max threads(44)
and af.get_backend()
In [2]: af.get_backend()
Out[2]: 'unified'
So does I missing something when installing the package?
- Dominant language
- Python
- Stars
- 422
- Forks
- 63
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- No merged PRs in 30d
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