numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Aggressive typecasting with specialization leads to silent wrong value output
- memory leak caused by PinnedArray
- The CUDA target needs to correctly emit the `convergent` attribute
- Literal unroll of jitted functions containing ctypes functions fails without explicit signature (unclear error message).
- support __call__ in jitclass
- Incorrect rounding with uint8 and float32
- [feature request] Support arr[:, [i]]
- [feature request] Broadcasting for np.full with array argument
- Non-det bug with prange code
- NumbaIRAssumptionWarning generated when calling `register_jittable` inline with if expression twice
- Docs
- Python not yet supported