chore: add github actions

.github/workflows/ci.yml

@@ -0,0 +1,89 @@
+name: CI
+
+on: [pull_request, push]
+
+# Cancel a job if there's a new on on the same branch started.
+# Based on https://stackoverflow.com/questions/58895283/stop-already-running-workflow-job-in-github-actions/67223051#67223051
+concurrency:
+ group: ${{ github.ref }}
+ cancel-in-progress: true
+
+env:
+ CARGO_INCREMENTAL: 0
+ RUST_BACKTRACE: 1
+ # Faster crates.io index checkout.
+ CARGO_REGISTRIES_CRATES_IO_PROTOCOL: sparse
+ RUST_LOG: debug
+
+jobs:
+ check_clippy:
+ runs-on: ubuntu-24.04
+ name: Clippy
+ steps:
+ - uses: actions/checkout@v4
+ - name: Install required packages
+ run: sudo apt install --no-install-recommends --yes libhwloc-dev ocl-icd-opencl-dev
+ - name: Run cargo clippy
+ run: cargo clippy --all-targets --workspace -- -D warnings
+
+ check_fmt:
+ runs-on: ubuntu-24.04
+ name: Checking fmt
+ steps:
+ - uses: actions/checkout@v4
+ - name: Run cargo fmt
+ run: cargo fmt --all -- --check
+
+ build_gpu:
+ runs-on: ubuntu-24.04
+ name: Build with various GPU support enabled
+ env:
+ RUST_LOG: trace
+ # Build the kernel only for the single architecture . This should reduce
+ # the overall compile-time significantly.
+ EC_GPU_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ BELLMAN_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ NEPTUNE_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ steps:
+ - uses: actions/checkout@v4
+ - name: Install required packages
+ run: sudo apt install --no-install-recommends --yes libhwloc-dev nvidia-cuda-toolkit ocl-icd-opencl-dev
+ # Run clippy as apart of the test job as it also needs the nvidia toolkit
+ # in order to compile
+ - name: Run Clippy
+ run: cargo clippy --workspace -- -D warnings
+ - name: Build it
+ run: cargo build --verbose
+
+ test_gpu:
+ runs-on: ubuntu-24.04
+ name: Test on GPUs
+ env:
+ RUST_LOG: trace
+ # Build the kernel only for the single architecture . This should reduce
+ # the overall compile-time significantly.
+ EC_GPU_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ BELLMAN_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ NEPTUNE_CUDA_NVCC_ARGS: --fatbin --gpu-architecture=sm_75 --generate-code=arch=compute_75,code=sm_75
+ steps:
+ - uses: actions/checkout@v4
+ - name: Install required packages
+ run: sudo apt install --no-install-recommends --yes libhwloc-dev nvidia-cuda-toolkit ocl-icd-opencl-dev
+ # Run clippy as apart of the test job as it also needs the nvidia toolkit
+ # in order to compile
+ - name: Run Clippy
+ run: cargo clippy --workspace -- -D warnings
+ - name: Test with CUDA
+ run: cargo test --verbose
+
+ test_macos:
+ runs-on: macos-latest
+ name: Test in release mode on MacOS
+ steps:
+ - uses: actions/checkout@v4
+ - name: Install required packages
+ run: HOMEBREW_NO_AUTO_UPDATE=1 brew install hwloc
+
+ - name: Run usual tests in release profile
+ # CUDA isn't support on MacOS, hence only enable OpenCL.
+ run: cargo test --verbose --release --no-default-features -- --nocapture