numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- np.linalg.solve unexpectedly returns an `F_CONTIGUOUS` array for `C_CONTIGUOUS` inputs
- Parallelism that worked in 0.52 no longer works in 0.53.1
- LoweringError using njit(parallel=True) when using python 3.8 (but not when using 3.7)
- jax.ndarray.shape not working in @njit with error `unknown attribute shape of readonly buffer
- parallel mode ignores divide by zero errors, sometimes fills with nonsense
- Wrapper or type to avoid inlining
- Boxing for `slice`
- CUDA vectorize returns array from scalar input
- @vectorize with *args failing
- Excessive recompilation due to use of `literally` and potentially unaware in memory cache.
- Docs
- Python not yet supported