[BUG]: libmathdx.so not found, even with nvidia-libmathdx-cu13 installed. #62

Activity

1. murdock-grewar

   added

   bugSomething isn't workingSomething isn't working

   on May 7, 2026
2. carterbox commented on May 7, 2026

   

   carterbox

   on May 7, 2026

   Last edited by carterbox

   Collaborator

   More actions

   I assume you are using Linux on x86 because you have not stated otherwise. I am not able to reproduce the issue with the provided command. In fact, the command fails earlier (during install) when uv says it cannot install both nvmath-python[cu13] and nvmath-python[cu12] simultaneously.

   I am able to run the example if I create an environment and install the package in the conventional way as described in our documentation.

   uv venv
   source .venv/bin/activate
   uv pip install nvmath-python[cu13-dx] cupy-cuda13x
   python ./examples/device/cufftdx_convolution_performance.py
   

   I suggest that there is a bug in uv run or in the way that you are using uv run. However, I do not know enough about uv to debug.
3. murdock-grewar commented on May 7, 2026

   

   murdock-grewar

   on May 7, 2026

   Last edited by murdock-grewar

   Author

   More actions

   I assume you are using Linux on x86 because you have not stated otherwise.

   Yes, Linux x86_64.

   I am not able to reproduce the issue with the provided command. In fact, the command fails earlier (during install) when uv says it cannot install both nvmath-python[cu13] and nvmath-python[cu12] simultaneously.

   Yes, I had the same issue when my working directory was set to the root of this project. I thought to report it, but then I did cd .. and this seemed to resolve the issue. I figured I might have just been doing something wrong.

   I am able to run the example if I create an environment and install the package in the conventional way as described in our documentation.

   I think the conventional way to set up the environment for a package like this is uv sync. In this case, I tried to use uv sync --only-group cu13-dx but I encountered the error you mentioned above.

   uv venv
   source .venv/bin/activate
   uv pip install nvmath-python[cu13-dx] cupy-cuda13x
   python ./examples/device/cufftdx_convolution_performance.py
   

   Won't this grab nvmath-python[cu13-dx] from pypi or some other public repository? I want to install the package from source. I used .[cu13-dx] instead and that worked.

   I suggest that there is a bug in uv run or in the way that you are using uv run. However, I do not know enough about uv to debug.

   uv sync also fails. I guess the maintainers don't use uv, or they follow some nonstandard process for setting up the environment, like the one you described.
4. carterbox commented on May 8, 2026

   

   carterbox

   on May 8, 2026

   Collaborator

   More actions

   We don't support uv specific commands: add, sync, lock, tool, etc. because having a single lock file for this project is not currently possible. We only support the pip-like installers.
5. carterbox

   added

   questionFurther information is requestedFurther information is requested

   wontfixThis will not be worked onThis will not be worked on

   and removed

   bugSomething isn't workingSomething isn't working

   on May 8, 2026
6. carterbox commented on May 8, 2026

   

   carterbox

   on May 8, 2026

   Collaborator

   More actions

   I'm going to close this issue because it is not a bug in nvmath-python.
7. carterbox

   closed this as not plannedon May 8, 2026