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Merge pull request #3 from GAMS-dev/cuda13
Modify workflow to build both CUDA 12 and CUDA 13 links and runtime archives
2 parents 4cb2485 + a8008cf commit 5b1a4e4

4 files changed

Lines changed: 2040 additions & 119 deletions

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‎.github/workflows/main.yml‎

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@@ -4,7 +4,7 @@ on:
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push:
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# branches: [main]
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tags:
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- '*' # Run also when a tag is pushed
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- '*' # Run only when a new tag is pushed
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pull_request:
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jobs:
@@ -21,81 +21,139 @@ jobs:
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run: |
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apt-get update && apt-get install -y patchelf curl unzip zip gcc
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- name: Set up python virtual environment with NVIDIA dependencies
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# Get CUDA runtimes via pip
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- name: Set up python virtual environments with NVIDIA dependencies for CUDA 12 and CUDA 13 (respectively)
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run: |
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mkdir -p venvs
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python -m venv venvs/cu12
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bash -c "source venvs/cu12/bin/activate && \
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pip install --upgrade pip -qq && \
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pip install --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/ cuopt-cu12==25.10.0 nvidia-cuda-runtime-cu12==12.8.* nvidia-nvjitlink-cu12 -qq"
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pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu12==25.10.* cuda-toolkit[cudart,nvjitlink]==12.9.* -qq &&
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deactivate"
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python -m venv venvs/cu13
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bash -c "source venvs/cu13/bin/activate && \
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pip install --upgrade pip -qq && \
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pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu13==25.10.* cuda-toolkit[cudart,nvjitlink]==13.0.* -qq &&
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deactivate"
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# Get GAMS
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- name: Download and extract latest GAMS distribution
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run: |
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curl https://d37drm4t2jghv5.cloudfront.net/distributions/latest/linux/linux_x64_64_sfx.exe --output linux_x64_64_sfx.exe
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unzip -q linux_x64_64_sfx.exe
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mv gams*_linux_x64_64_sfx gamsdist
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rm linux_x64_64_sfx.exe
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- name: Compile gmscuopt
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# Build link
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- name: Compile GAMS/cuOpt-link binary "gmscuopt.out" for CUDA 12 and then for CUDA 13
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run: |
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export GAMSCAPI="gamsdist/apifiles/C/api"
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export CUOPT="venvs/cu12/lib/python3.12/site-packages/libcuopt"
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export JITLINK="venvs/cu12/lib/python3.12/site-packages/nvidia/nvjitlink/lib"
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export CUOPT_VERSION="`cat "$CUOPT/VERSION"`"
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export CUOPT_HASH="`cat "$CUOPT/GIT_COMMIT"`"
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gcc -Wall gmscuopt.c -o gmscuopt.out \
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gcc -Wall gmscuopt.c -o gmscuopt-cu12.out \
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-DCUOPT_VERSION=\"$CUOPT_VERSION\" -DCUOPT_HASH=\"$CUOPT_HASH\" \
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-I $GAMSCAPI $GAMSCAPI/gmomcc.c $GAMSCAPI/optcc.c $GAMSCAPI/gevmcc.c \
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-I $CUOPT/include $JITLINK/libnvJitLink.so.12 -L $CUOPT/lib64 -lcuopt
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patchelf --set-rpath \$ORIGIN gmscuopt.out
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patchelf --set-rpath \$ORIGIN gmscuopt-cu12.out
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export CUOPT="venvs/cu13/lib/python3.12/site-packages/libcuopt"
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export JITLINK="venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib"
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export CUOPT_VERSION="`cat "$CUOPT/VERSION"`"
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export CUOPT_HASH="`cat "$CUOPT/GIT_COMMIT"`"
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gcc -Wall gmscuopt.c -o gmscuopt-cu13.out \
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-DCUOPT_VERSION=\"$CUOPT_VERSION\" -DCUOPT_HASH=\"$CUOPT_HASH\" \
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-I $GAMSCAPI $GAMSCAPI/gmomcc.c $GAMSCAPI/optcc.c $GAMSCAPI/gevmcc.c \
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-I $CUOPT/include $JITLINK/libnvJitLink.so.13 -L $CUOPT/lib64 -lcuopt
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patchelf --set-rpath \$ORIGIN gmscuopt-cu13.out
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# Collect dependencies for link and runtime convenience archive
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- name: Prepare release artifact and runtime bundle
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run: |
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mkdir release
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cp gmscuopt.out release/
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cp assets/* release/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt/lib64/libcuopt.so release/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt/lib64/libmps_parser.so release/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libgomp-*.so.1.0.0 release/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libtbb-*.so.2 release/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libtbbmalloc-*.so.2 release/
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cp venvs/cu12/lib/python3.12/site-packages/rapids_logger/lib64/librapids_logger.so release/
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cp venvs/cu12/lib/python3.12/site-packages/librmm/lib64/librmm.so release/
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mkdir runtime
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cu12/lib/libcudss.so.0 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cusolver/lib/libcusolver.so.11 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cublas/lib/libcublas.so.12 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cublas/lib/libcublasLt.so.12 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/nvjitlink/lib/libnvJitLink.so.12 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/curand/lib/libcurand.so.10 runtime/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cusparse/lib/libcusparse.so.12 runtime/
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mkdir release-cu12
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cp gmscuopt-cu12.out release-cu12/gmscuopt.out
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cp assets/* release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt/lib64/libcuopt.so release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt/lib64/libmps_parser.so release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libgomp-*.so.1.0.0 release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libtbb-*.so.2 release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/libcuopt_cu12.libs/libtbbmalloc-*.so.2 release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/rapids_logger/lib64/librapids_logger.so release-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/librmm/lib64/librmm.so release-cu12/
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mkdir runtime-cu12
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cu12/lib/libcudss.so.0 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cusolver/lib/libcusolver.so.11 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cublas/lib/libcublas.so.12 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cublas/lib/libcublasLt.so.12 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/nvjitlink/lib/libnvJitLink.so.12 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/curand/lib/libcurand.so.10 runtime-cu12/
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cp venvs/cu12/lib/python3.12/site-packages/nvidia/cusparse/lib/libcusparse.so.12 runtime-cu12/
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mkdir release-cu13
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cp gmscuopt-cu13.out release-cu13/gmscuopt.out
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cp assets/* release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/libcuopt/lib64/libcuopt.so release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/libcuopt/lib64/libmps_parser.so release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/libcuopt_cu13.libs/libgomp-*.so.1.0.0 release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/libcuopt_cu13.libs/libtbb-*.so.2 release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/libcuopt_cu13.libs/libtbbmalloc-*.so.2 release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/rapids_logger/lib64/librapids_logger.so release-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/librmm/lib64/librmm.so release-cu13/
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mkdir runtime-cu13
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcudss.so.0 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libnvJitLink.so.13 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcublas.so.13 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcublasLt.so.13 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcurand.so.10 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcusolver.so.12 runtime-cu13/
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cp venvs/cu13/lib/python3.12/site-packages/nvidia/cu13/lib/libcusparse.so.12 runtime-cu13/
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- name: Upload link artifact to GitHub Actions (always)
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# Upload artifacts
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- name: Upload CUDA 12 link artifact to GitHub Actions (always)
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uses: actions/upload-artifact@v4
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with:
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name: cuopt-link
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path: release/
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name: cuopt-link-cu12
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path: release-cu12/
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- name: Upload runtime artifact to GitHub Actions (always)
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- name: Upload CUDA 12 runtime artifact to GitHub Actions (always)
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uses: actions/upload-artifact@v4
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with:
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name: cu12-runtime
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path: runtime/
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path: runtime-cu12/
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- name: Upload CUDA 13 link artifact to GitHub Actions (always)
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uses: actions/upload-artifact@v4
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with:
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name: cuopt-link-cu13
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path: release-cu13/
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- name: Upload CUDA 13 runtime artifact to GitHub Actions (always)
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uses: actions/upload-artifact@v4
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with:
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name: cu13-runtime
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path: runtime-cu13/
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# Bundle into archives
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- name: Create zip archive (only on tag push)
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if: startsWith(github.ref, 'refs/tags/')
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run: |
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cd release
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zip -r ../cuopt-link-release.zip .
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cd ../runtime
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cd release-cu12
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zip -r ../cuopt-link-release-cu12.zip .
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cd ../runtime-cu12
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zip -r ../cu12-runtime.zip .
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cd ../release-cu13
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zip -r ../cuopt-link-release-cu13.zip .
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cd ../runtime-cu13
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zip -r ../cu13-runtime.zip .
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# Create new release with archives
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- name: Create GitHub Release (only on tag push)
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if: startsWith(github.ref, 'refs/tags/')
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uses: softprops/action-gh-release@v2
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with:
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files: |
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cuopt-link-release.zip
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cuopt-link-release-cu12.zip
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cu12-runtime.zip
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cuopt-link-release-cu13.zip
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cu13-runtime.zip
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

‎README.md‎

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## Requirements
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- **Operating System:** Linux, Windows through WSL2
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- **Operating System:** Linux, Windows 11 through WSL2
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- **GAMS:** Version 49 or newer.
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- **GAMSPy:** Version 1.12.1 or newer
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- **NVIDIA GPU:** Volta architecture or better
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- **CUDA Runtime Libraries:** 12.0+
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- **CUDA Runtime Libraries:** 12 and 13
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## Getting started / installation
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- Make sure [CUDA runtime](https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64) is installed
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- Download and unpack `cuopt-link-release.zip` from the [releases page](https://github.com/GAMS-dev/cuoptlink-builder/releases):
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- Unpack the contents of `cuopt-link-release.zip` into your GAMS system directory. For GAMSPy, you can find out your system directory by running `gamspy show base`. So for example you can run `unzip -o cuopt-link-release.zip -d $(gamspy show base)`.
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- Download and unpack `cuopt-link-release-cu12.zip` or `cuopt-link-release-cu13.zip` (for CUDA 12 and 13 respectively) from the [releases page](https://github.com/GAMS-dev/cuoptlink-builder/releases):
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- Unpack the contents of `cuopt-link-release-cu*.zip` into your GAMS system directory. For GAMSPy, you can find out your system directory by running `gamspy show base`. So for example you can run `unzip -o cuopt-link-release-cu*.zip -d $(gamspy show base)`.
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- **Caution:** This will overwrite any existing `gamsconfig.yaml` file in that directory. The contained `gamsconfig.yaml` contains a `solverConfig` section to make cuOpt available to GAMS.
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More specifically, the files from the CUDA runtime needed are
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```
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libcublas.so.12
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libcublasLt.so.12
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libcudss.so.0
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libcurand.so.10
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libcusolver.so.11
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libnvJitLink.so.12
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```
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and can be installed e.g. via `pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu12==25.5.* nvidia-cuda-runtime-cu12==12.8.* nvidia-nvjitlink-cu12` into a Python environment or downloaded as archive `cu12-runtime.zip` from the [releases page](https://github.com/GAMS-dev/cuoptlink-builder/releases).
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The neccessary files from the CUDA 12 or 13 runtime can also be downloaded as convenient archive `cu12-runtime.zip` or `cu13-runtime.zip` from the [releases page](https://github.com/GAMS-dev/cuoptlink-builder/releases).
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## Test the setup
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## Examples
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- [examples/trnsport_cuopt.ipynb](examples/trnsport_cuopt.ipynb)
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- [examples/trnsport_cuopt.ipynb](examples/trnsport_cuopt.ipynb) for CUDA 12
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- [examples/trnsport_cuopt.ipynb](examples/trnsport_cuopt_cu13.ipynb) for CUDA 13

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