build(deps): bump chia from 0.45.1 to 0.47.0 in /keygen-rs #83
Workflow file for this run
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| name: install-matrix | |
| # Verifies the SYCL Containerfile builds across its documented | |
| # backend matrix (NVIDIA / AMD / Intel / CPU). Each job exercises a | |
| # different ACPP_TARGETS configuration via the existing production | |
| # Containerfile — the same one users build via scripts/build-container.sh. | |
| # | |
| # No actual accelerator hardware needed for the build; nvcc / hipcc | |
| # / icx etc. all compile fine without a runtime device present. The | |
| # assertion is "the container builds clean and `xchplot2 --help` | |
| # returns 0" — the runtime path is exercised by the parity tests | |
| # under the existing CI workflow. | |
| on: | |
| pull_request: | |
| paths-ignore: | |
| # Docs & metadata | |
| - '**.md' | |
| - 'docs/**' | |
| - 'LICENSE*' | |
| - '.gitignore' | |
| - '.gitattributes' | |
| - '.editorconfig' | |
| - '.markdownlint*' | |
| - '.github/dependabot.yml' | |
| - '.github/ISSUE_TEMPLATE/**' | |
| - '.github/PULL_REQUEST_TEMPLATE*' | |
| # Runtime scripts not exercised by the install matrix. | |
| # scripts/install-deps.sh IS used inside Containerfile RUNs, | |
| # so it's NOT in this list. | |
| - 'scripts/test/**' | |
| - 'scripts/test-multi-gpu.sh' | |
| - 'scripts/build-container.sh' | |
| - 'scripts/install-container-deps.sh' | |
| # docker-compose isn't exercised by CI (we drive podman build | |
| # directly). | |
| - 'compose.yaml' | |
| # Sibling CI workflows. | |
| - '.github/workflows/ci.yml' | |
| - '.github/workflows/arch-matrix.yml' | |
| push: | |
| branches: [main] | |
| paths-ignore: | |
| - '**.md' | |
| - 'docs/**' | |
| - 'LICENSE*' | |
| - '.gitignore' | |
| - '.gitattributes' | |
| - '.editorconfig' | |
| - '.markdownlint*' | |
| - '.github/dependabot.yml' | |
| - '.github/ISSUE_TEMPLATE/**' | |
| - '.github/PULL_REQUEST_TEMPLATE*' | |
| - 'scripts/test/**' | |
| - 'scripts/test-multi-gpu.sh' | |
| - 'scripts/build-container.sh' | |
| - 'scripts/install-container-deps.sh' | |
| - 'compose.yaml' | |
| - '.github/workflows/ci.yml' | |
| - '.github/workflows/arch-matrix.yml' | |
| permissions: | |
| contents: read | |
| jobs: | |
| build: | |
| name: build / ${{ matrix.target.name }} | |
| runs-on: ubuntu-latest | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| target: | |
| # NVIDIA — default base, CUDA 13.x for Turing+; sets sm_75 so | |
| # we don't trip the preflight that bans pre-Turing on 13.x. | |
| - name: nvidia-cuda13 | |
| extra_args: "--build-arg CUDA_ARCH=75" | |
| # NVIDIA Pascal (sm_61) — must use the 12.9 base because | |
| # CUDA 13.x dropped Pascal codegen. Catches preflight | |
| # regressions. | |
| - name: nvidia-cuda12-pascal | |
| extra_args: >- | |
| --build-arg BASE_DEVEL=docker.io/nvidia/cuda:12.9.1-devel-ubuntu24.04 | |
| --build-arg BASE_RUNTIME=docker.io/nvidia/cuda:12.9.1-devel-ubuntu24.04 | |
| --build-arg CUDA_ARCH=61 | |
| # CPU-only — AdaptiveCpp OpenMP backend. No CUDA toolkit in | |
| # the runtime image; build still wants cuda_fp16.h headers, | |
| # supplied by INSTALL_CUDA_HEADERS=1. | |
| - name: cpu-omp | |
| extra_args: >- | |
| --build-arg BASE_DEVEL=docker.io/ubuntu:24.04 | |
| --build-arg BASE_RUNTIME=docker.io/ubuntu:24.04 | |
| --build-arg ACPP_TARGETS=omp | |
| --build-arg XCHPLOT2_BUILD_CUDA=OFF | |
| --build-arg INSTALL_CUDA_HEADERS=1 | |
| # AMD ROCm — AdaptiveCpp generic (SSCP JIT). Two reasons for | |
| # `generic` instead of `hip:gfxNNNN` AOT compilation in CI: | |
| # | |
| # 1. rocm/dev-ubuntu-24.04:latest ships device bitcode | |
| # (ocml.bc) built with rolling LLVM 22+. AdaptiveCpp's | |
| # install-deps.sh pins clang/lld to LLVM 18 for | |
| # compatibility with its own build. The LLVM-18 clang | |
| # can't link bitcode produced by LLVM-22 (attribute | |
| # kind 102 added in LLVM 22) — hard build error. | |
| # | |
| # 2. CI has no AMD GPU anyway, so AOT-for-gfxNNNN doesn't | |
| # give us runtime signal. SSCP defers device codegen | |
| # to runtime, lets the build prove "the SYCL TUs | |
| # compile against ROCm headers + libs" which is the | |
| # meaningful CI assertion. | |
| # | |
| # Same pattern the README recommends for RDNA1 cards | |
| # (gfx101x) and matches the Intel oneAPI entry below. | |
| - name: amd-rocm | |
| extra_args: >- | |
| --build-arg BASE_DEVEL=docker.io/rocm/dev-ubuntu-24.04:latest | |
| --build-arg BASE_RUNTIME=docker.io/rocm/dev-ubuntu-24.04:latest | |
| --build-arg ACPP_TARGETS=generic | |
| --build-arg XCHPLOT2_BUILD_CUDA=OFF | |
| --build-arg INSTALL_CUDA_HEADERS=1 | |
| # Intel oneAPI — AdaptiveCpp generic (SSCP) → Level Zero. | |
| # README flags this path as experimental / not perf-tested; | |
| # CI's role is "the build still works", not "it runs well". | |
| - name: intel-oneapi | |
| extra_args: >- | |
| --build-arg BASE_DEVEL=docker.io/intel/oneapi-basekit:latest | |
| --build-arg BASE_RUNTIME=docker.io/intel/oneapi-runtime:latest | |
| --build-arg ACPP_TARGETS=generic | |
| --build-arg XCHPLOT2_BUILD_CUDA=OFF | |
| --build-arg INSTALL_CUDA_HEADERS=1 | |
| steps: | |
| - uses: actions/checkout@v7 | |
| - name: podman build (${{ matrix.target.name }}) | |
| run: | | |
| podman build -t xchplot2-ci:${{ matrix.target.name }} \ | |
| ${{ matrix.target.extra_args }} \ | |
| -f Containerfile . | |
| - name: xchplot2 --help inside image | |
| run: | | |
| podman run --rm xchplot2-ci:${{ matrix.target.name }} \ | |
| xchplot2 devices 2>&1 | head -10 || true | |
| # `devices` may fail without a real GPU; that's fine — what | |
| # we check is the binary runs at all (no library-load errors | |
| # like missing libcudart, missing libacpp-rt, etc.) | |
| podman run --rm --entrypoint /bin/sh \ | |
| xchplot2-ci:${{ matrix.target.name }} \ | |
| -c 'which xchplot2 && ldd $(which xchplot2) | head -20' |