numba
https://github.com/numba/numba
Python
NumPy aware dynamic Python compiler using LLVM
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- Issues
- Memory leak when applying numba to an inner function
- Errors not being raised when running code in parallel
- Type system implementation #2: Added magic/dunder method support for add operator on scalar types.
- Can't execute python tests directly without using runtests.py
- Cannot cache function with jitclass as argument
- Unexpected initial value with jit
- Pass NULL pointer for cffi.FFI().from_buffer(empty array)
- Strange issue with round() function used in CUDA kernel
- Improve DeadBranchPrune to be type aware in `x is None` case
- Missing type promotions when doing python API calls
- Docs
- Python not yet supported