numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- @vectorize+sig targets cpu/parallel need to catch invalid types earlier
- np.random.multinomial throws ValueError: binomial(): p outside of [0, 1]
- [Discussion][Umbrella] Parallel backend tasks
- cfunc cannot be pickled
- Make it possible to annotate method from a jitclass
- missing numpy cuda math functions, e.g. matmul
- Code library not linked in lowering. Missing inline opportunity.
- Some tests are taking disproportionate amounts of time to run
- Allow user to customize CUDA IPC offset
- Objmode crashes sometimes
- Docs
- Python not yet supported