numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Cannot find source for CUDA kernels decorated with `lineinfo=True` when executed from Jupyter notebook cell
- numpy records do not support "is" identity comparison.
- emit a warning/error if enabling `boundscheck=True` together with `parallel=True` (raising exceptions from within threads has unspecified behaviour)
- Support parallel dynamic gufuncs
- Change definition of complex sign if numpy does
- Numba stuck compiling
- numba a lot slower for dict lookup when numpy array in value
- Poor performance with astype on an array
- Intermittent NRT leak with `print(reflected list)`
- FEATURE REQUEST: enable more fine grained control over Numba cache
- Docs
- Python not yet supported