Refactor the logic to find CUDA libraries - use try...catch for each library#3575
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khalatepradnya merged 1 commit intoNVIDIA:test-publishingfrom Nov 4, 2025
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library. Signed-off-by: Pradnya Khalate <pkhalate@nvidia.com>
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* fix python package install logic * Using unified package for `nvidia-curand` * Add CUDA 13 .so files to the version check (#3569) * Use python packages throughout (#3571) * Refactor the logic to find CUDA libraries - use `try...catch` for each library. (#3575) * Attempt to fix metapackage_validation_conda: be explicit about conda channel, fix an issue with torch on cu13 (#3576) * [CI] Run Jupyter notebooks in their own virtual environment (#3577) * Swap order: cublas depends on cublaslt, e.g. cublasLtGetEnvironmentMode * Install `python3-venv` * Also preinstall pip * Remove verbose warnings * fixing the label for sigma * Addtional packages installed in docker image * Use cu12 packages for CUDA 12 * remove unused torch package * remove import torch * Restore docs page * removing the warning and torch geometric import * Update the auto-generated README file to write 13.0.2 instead of 13.0.0 --------- Signed-off-by: Mitchell <mitch_dz@hotmail.com> Signed-off-by: Pradnya Khalate <pkhalate@nvidia.com> Signed-off-by: Thien Nguyen <thiennguyen@nvidia.com> Signed-off-by: Pradnya Khalate <148914294+khalatepradnya@users.noreply.github.com> Signed-off-by: Sachin Pisal <spisal@nvidia.com> Co-authored-by: Mitchell <mitch_dz@hotmail.com> Co-authored-by: Thien Nguyen <58006629+1tnguyen@users.noreply.github.com> Co-authored-by: Thien Nguyen <thiennguyen@nvidia.com> Co-authored-by: Sachin Pisal <spisal@nvidia.com>
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This PR refactors the initialization logic in
python/cudaq/__init__.py, focusing on how CUDA library paths are configured and how imports are organized.