numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Compilation/Type Error with opaque pointers in cffi
- meta issue: fp16 support
- TypingError: `np.max(..., axis=1)`
- fp16 GPU support
- Support keyword arguments with guvectorize
- Accessing array fields works via getattr while it should not.
- Numpy corrcoef performance is better without Numba
- Ahead-of-time compilation for cuda.jit
- Default argument with typed list?
- CUDA flag to emulate `-fdefault-real-*`/force e.g. `float32` throughout
- Docs
- Python not yet supported