Comments (4)
bouweandela
commented on June 12, 2024
Related to conda-forge/staged-recipes#24420
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benvanwerkhoven
commented on June 12, 2024
I would say that it should be possible, at least for the Python-only tests. Those requiring CUDA or a GPU could be skipped. I'm not sure however how to achieve this in the new setup since we've just migrated from setup.py to pyproject.toml, but hopefully @fjwillemsen can comment.
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fjwillemsen
commented on June 12, 2024
Hi Bouwe, that is definitely possible - in fact, I've just made a new release just for you that includes these test files. You can use it as kernel-tuner==1.0.0b6, and check the source contents here.
I'll close this issue for now, feel free to re-open if necessary.
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bouweandela
commented on June 12, 2024
Thanks! I will give it a try for the conda-forge package.
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Related Issues (20)
- Instance won't be None HOT 2
- Error in expdist.py HOT 2
- C compiler version parsing error HOT 3
- Refactoring cache files HOT 2
- matrix multiplication tutorial in the documentation HOT 1
- [bug] Parameter `objective_higher_is_better` in `tune_kernel` call cannot be manually specified HOT 2
- observer documentation issues
- brute force strategy to respect max_fevals
- How to get the compiled function which can be called later? HOT 3
- `ValueError: name is not a valid identifier: {k}`
- Remove dependence on `OrderedDict`? HOT 4
- Special memories only work with PyCUDA backend HOT 9
- Populating pointers of struct from cupy HOT 2
- can we add support for build systems HOT 1
- Some HIP tests need adjustment
- Passing cupy arrays to the compiler backend HOT 1
- Use the GPU power observer for a Fortran-based program
- API documentation is broken HOT 3
- Adding defines as _additional_ preprocessor definitions HOT 4
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