Shang Chieh Tseng c022e79e77 Add LD_LIBRARY_PATH to GitHub Actions workflows for CUDA library discovery ...

Set LD_LIBRARY_PATH in all workflow steps to ensure CUDA 11.4 libraries
are found during both compile time and runtime. This fixes the issue where
the GGML CUDA backend (libggml-cuda.so) fails to load when running
'ollama serve'.

Library paths added:
- /usr/local/cuda-11.4/lib64
- /usr/local/cuda-11.4/targets/x86_64-linux/lib
- /usr/lib64
- /usr/local/lib64

Updated workflows:
- tesla-k80-ci.yml: CMake configure, C++/CUDA build, Go build, binary verify
- tesla-k80-single-gpu-tests.yml: All test execution steps
- tesla-k80-multi-gpu-tests.yml: All test execution steps

2025-10-30 13:28:44 +08:00

..

CLAUDE.md

Split Tesla K80 workflows into build and test; add test framework plan

2025-10-30 10:59:52 +08:00

tesla-k80-ci.yml

Add LD_LIBRARY_PATH to GitHub Actions workflows for CUDA library discovery

2025-10-30 13:28:44 +08:00

tesla-k80-multi-gpu-tests.yml

Add LD_LIBRARY_PATH to GitHub Actions workflows for CUDA library discovery

2025-10-30 13:28:44 +08:00

tesla-k80-single-gpu-tests.yml

Add LD_LIBRARY_PATH to GitHub Actions workflows for CUDA library discovery

2025-10-30 13:28:44 +08:00