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Numba-cuda extensions (e.g. [nvmath-python](https://developer.nvidia.com/nvmath-python)) are frequently leaning on CUDA C++ implementations to support the core of their functionality.
One current UX …
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## Reporting a bug
- [x] I have tried using the latest released version of Numba (most recent is
visible in the release notes
(https://numba.readthedocs.io/en/stable/release-notes-ove…
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The CUDA kernel doesn't seem to respect the NUMBA_OPT environment variable. This makes switching debugging on and off from shell difficult, especially for kernels that make many device function calls.…
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## Reporting a bug
Today, we noticed that Numba 0.60.0 produces an import error when used with SHAP 0.44 and NumPy 1.24.1 in Python 3.9.
```import shap
File "/miniconda3/lib/python3.9/site-pack…
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/home/fupeng/anaconda3/lib/python3.7/site-packages/numba/cuda/envvars.py:16: NumbaDeprecationWarning:
Environment variables with the 'NUMBAPRO' prefix are deprecated, found use of NUMBAPRO_NVVM=/usr…
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First test case:
```python
from numba import njit, float64
from numba.experimental import jitclass
@jitclass
class A:
val: float64
def __init__(self, val):
self.val = val
def __g…
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The following:
```python
from numba import cuda
@cuda.jit(device=True)
def f():
raise ValueError('Error')
@cuda.jit(debug=True, opt=False)
def kernel():
f()
kernel[1, 1]()
``…
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Hi, thank you for the great work!
I am trying to compile a script with Nuitka for standalone distribution, and I have 3 functions heavily relying on Numpy that in the Python execution are accelerated…
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Hi there - please see the reproducer below. Basically, and somewhat oddly, if you define types explicitly when using lineinfo with record types, things work fine. If you allow numba to infer types, th…
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Let's use this to track discussion and implementation of the GraphBLAS 9 JIT.
My opinion:
The JIT needs to be configured with a compiler, which is done at GraphBLAS build time by [GraphBLAS_JIT_…