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NVIDIA Driver 555.85 with WSL2 returns error 500 "named symbol not found" when running CUDA apps inside container #520
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This is fixed in nvidia-container-toolkit 1.14.4 and in 1.15.0. https://gitlab.com/nvidia/container-toolkit/libnvidia-container/-/merge_requests/239
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This change adds the new libnvdxgdmal.so.1 library to the list of files copied from the DriverStore. Signed-off-by: Jakub Bujak <jbujak@nvidia.com>
Add libnvdxgdmal library See merge request nvidia/container-toolkit/container-toolkit!529
Closing this since Docker Desktop 4.31 has been released. |
NVIDIA drivers 555.xx and newer for Windows have added a library called
libnvdxgdmal.so.1
that must be mapped into the container for CUDA to continue working in containers under WSL2.The nvidia-container-toolkit must be updated in order to add the reference to this new library.
If the library is missing from the container because nvidia-container-toolkit is not updated and 555.xx or newer drivers are used, then CUDA initialization will return error 500 "named symbol not found" (CUDA_ERROR_NOT_FOUND).
This is cited in https://www.nvidia.com/en-us/geforce/forums/game-ready-drivers/13/543186/geforce-grd-55585-feedback-thread-released-52124/3453787/ as bug 4668302, "PyTorch-CUDA Docker not compatible with CUDA 12.5/GRD 555.85".
For Docker Desktop users the fix has been released as part of the Docker Desktop 4.31.0 update.
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