cuml is not found during Garfield installation

[Ryan-ZL-Lin]

Hi.
I installed the latest nerfstudio in conda environment, does that mean I could also install Garfield inside conda nerfstudio env?

I tried to run conda install -c rapidsai -c conda-forge -c nvidia cuml inside conda nerfstudio env but it doesn't work properly. Has anyone encountered the same issue? Here is the error log for your reference:

(base) C:\Users\lzlal>conda activate nerfstudio

(nerfstudio) C:\Users\lzlal>cd nerfstudio

(nerfstudio) C:\Users\lzlal\nerfstudio>conda install -c rapidsai -c conda-forge -c nvidia cuml
Channels:
 - rapidsai
 - conda-forge
 - nvidia
 - defaults
 - pytorch
 - nvidia/label/cuda-11.8.0
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - cuml

Current channels:

  - https://conda.anaconda.org/rapidsai
  - https://conda.anaconda.org/conda-forge
  - https://conda.anaconda.org/nvidia
  - defaults
  - https://conda.anaconda.org/pytorch
  - https://conda.anaconda.org/nvidia/label/cuda-11.8.0/win-64

To search for alternate channels that may provide the conda package you're
looking for, navigate to

    https://anaconda.org

and use the search bar at the top of the page.



(nerfstudio) C:\Users\lzlal\nerfstudio>

[chungmin99]

does that mean I could also install Garfield inside conda nerfstudio env?

You should be able to, and you should have nerfstudio installed for Garfield to work!

... inside conda nerfstudio env but it doesn't work properly. Has anyone encountered the same issue?

Are you still running into this issue? I personally haven't had any problems with this, but perhaps you can try the pip install version, in the updated install docs.

pip install --extra-index-url=https://pypi.nvidia.com cudf-cu12==24.2.* cuml-cu12==24.2.*

[abrahamezzeddine]

As I understand, this is not supported in Windows, unless you are running in WSL2?

Any other idea?

[pullover00]

I am not working on WSL but on Linux.

Still, this command worked for me

pip install --extra-index-url https://pypi.nvidia.com cuml-cu12