tadeja commented on PR #50923: URL: https://github.com/apache/arrow/pull/50923#issuecomment-6520188798
I've rebased from main to help moving this along. Also note that PR mentions: > There is also a temporary `numpy<2.5` constraint for the Numba-CUDA environment. Numba-CUDA 0.30.4 currently uses the removed `np.row_stack` attribute with NumPy 2.5. This is already being handled upstream in [NVIDIA/numba-cuda#916](https://github.com/NVIDIA/numba-cuda/pull/916) and the constraint can be removed once that fix is released. Unfortunately this is not getting fixed, got closed as not planned: https://github.com/NVIDIA/numba-cuda/issues/907#issuecomment-5620678407 : > Sorry for late response. numba-cuda is in [maintenance mode](https://github.com/NVIDIA/numba-cuda/issues/902) now and we will unlikely fix this, I am afraid. > We encourage all users to transition to [numba-cuda-mlir](https://github.com/NVIDIA/numba-cuda-mlir). v0.4.1+ should support any recent NumPy versions. > For existing numba-cuda users, use NumPy 2.4 or below. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
