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7 Commits

Author SHA1 Message Date
Shang Chieh Tseng
d9d3f7b0b4 Fix GitHub Actions workflows to upload build libraries and remove LD_LIBRARY_PATH 
Changes:
- Update tesla-k80-ci.yml to upload build/lib/ollama/ containing CUDA backend
- Remove all LD_LIBRARY_PATH environment variables (no longer needed with RPATH)
- Test workflows now receive libggml-cuda.so enabling GPU offload

This fixes the issue where test workflows couldn't offload to GPU because the
CUDA backend library wasn't included in the artifact.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-10-30 15:08:34 +08:00
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
Shang Chieh Tseng
a171c8a087 Fix test workflows to use build artifacts instead of local binary 
- Build workflow now uploads ollama binary as artifact with 7-day retention
- Test workflows download artifact instead of expecting local binary
- Eliminates 'ollama binary not found' error when running tests
- Enables build-once, test-multiple-times workflow pattern
- Added binary verification step to confirm artifact download
 2025-10-30 12:07:28 +08:00
Shang Chieh Tseng
aaaf334e7f Update tesla-k80-ci.yml 2025-10-30 11:02:14 +08:00
Shang Chieh Tseng
b402b073c5 Split Tesla K80 workflows into build and test; add test framework plan 
- Changed tesla-k80-ci.yml to manual trigger only, simplified to build-only workflow
- Created tesla-k80-tests.yml for separate test execution (manual trigger)
- Added .github/workflows/CLAUDE.md with comprehensive test framework design
- Removed binary artifact upload (not needed for single self-hosted runner)
- Replaced README.md with CLAUDE.md for better documentation structure

Test framework plan:
- Go-based test runner at cmd/test-runner/
- YAML configuration for multi-model testing
- Server lifecycle management with log monitoring
- API-based testing with structured reporting
- Support for test profiles (quick/full/stress)
 2025-10-30 10:59:52 +08:00
Shang Chieh Tseng
6024408ea5 Update command. 2025-10-28 18:42:49 +08:00
Shang Chieh Tseng
92acf0f91e Add GitHub Actions workflow for Tesla K80 CI/CD 
- Tesla K80 build and test workflow with self-hosted runner
- Build using GCC 10 and CUDA 11.4 for Compute Capability 3.7
- Run unit tests, integration tests, and model inference tests
- Test gemma2:2b model loading and GPU acceleration
- Use Claude headless mode to analyze server logs and verify proper GPU initialization
- Upload logs, analysis results, and binary artifacts
- Comprehensive documentation in workflows README
 2025-10-28 18:09:49 +08:00