Hi folks, I noticed that all the required dependencies for cupy with AMD GPU support are available on unstable [1]. I've never used cupy, so I probably won't file an RFS. However, it seems like a useful library. It describes itself thusly:
> CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing > with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy > code on NVIDIA CUDA or AMD ROCm platforms. I have extended the architecture support of the AMD GPU libraries that cupy relies on, so it can probably be made to work with all discrete AMD GPUs from Vega onwards (though MI300 has not yet been enabled in Debian). With that said, the performance will undoubtedly be better on the architectures supported upstream. Has anyone used cupy? If so, what was your experience? Sincerely, Cory Bloor [1]: https://docs.cupy.dev/en/v13.2.0/install.html#using-cupy-on-amd-gpu-experimental
