numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Classes with `__enter__` and `__exit__` methods, and `jitclass` decorator can't be used as context managers.
- performance issue with F-order array
- np.kron behaves differently when compiled with numba
- Segfault when calling nested parallel function with caching
- `np.fmod` doesn't work with negative inputs
- Autodiff support in Numba
- Add file and line number information in NRT Debug statements.
- Support for np.linalg.svd(X, compute_uv=False)
- Return the type(obj) in `numba.typeof` when `DISABLE_JIT` is enabled
- Rearanging the order of axes in cuda jitted code
- Docs
- Python not yet supported