Severin Dicks
Severin Dicks
> mamba create -n rapids-24.08 -c rapidsai -c conda-forge -c nvidia rapids=24.08 python=3.11 cuda-version=11.8 followed by: pip install 'rapids-singlecell[rapids11]' --extra-index-url=https://pypi.nvidia.com This installs rapids 2times into one environment
Please check out the rapids.ai docs and try to install rapids. This looks to me like a cuda issue
https://docs.rapids.ai/install/?_gl=1*1ujej7e*_ga*MTE2NTY0MDg5My4xNzI3ODcxMTI0*_ga_RKXFW6CM42*MTcyNzg3MTEyNC4xLjAuMTcyNzg3MTEyNC42MC4wLjA. Did you checkout rapids or rapids-singlecell?
Please make an issue and connect with people on the rapids team. They might be able to help you with your environment setup and cuda installation. Rapids-singlecell builds on top...
No just pip install rapids-singlecell You already installed rapids with conda.
@johnsCheng I tried to reproduce you issue but I cant do it. Do you have a minimal reproducer. I also think there might be an issue with your installation. Can...
can you check what is the dtype from X.data?
I have some small improvements that I would like to add next week for more precision for larger matrices
@ashish615 after doing some benchmarking myself I found out that your solution for `axis=1` is under performing compared to `axis=0` for larger arrays. I think that is because of the...
The function should also work for 1 thread. numba.get_num_threads() is fine it works well with the sparse arrays. But I have no experience with it inside of dask.