Files
LEANN/.github/workflows/build-reusable.yml
Andy Lee 4dffdfedbe feat: Add ARM64 Linux wheel support for leann-backend-hnsw (#83)
* feat: Add ARM64 Linux wheel support for leann-backend-hnsw

* fix: Use OpenBLAS for ARM64 Linux builds instead of Intel MKL

* fix: Configure Faiss with SVE optimization for ARM64 builds

- Set FAISS_OPT_LEVEL to "sve" for ARM64 architecture
- Disable x86-specific SIMD instructions (AVX2, AVX512, SSE4.1)
- Use ARM64-native SVE optimization as per Faiss conda build scripts
- Add architecture detection and proper configuration messages

Fixes compilation error: "xmmintrin.h: No such file or directory"
on ubuntu-24.04-arm runners.

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Apply ARM64 compatibility fix directly to Faiss submodule

- Modify faiss/impl/pq.cpp to use x86-specific preprocessor conditions
- Remove patch file approach in favor of direct submodule modification
- Update CMakeLists.txt to reflect the submodule changes
- Fixes ARM64 Linux compilation by preventing x86 SIMD header inclusion

This resolves the "xmmintrin.h: No such file or directory" error
when building ARM64 Linux wheels for Docker compatibility.

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

Co-Authored-By: Claude <noreply@anthropic.com>

* chore: Update Faiss submodule to include ARM64 compatibility fix

- Points to commit ed96ff7d with x86-specific preprocessor conditions
- Enables successful ARM64 Linux wheel builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* retrigger ci

* fix: Use different optimization levels for ARM64 based on platform

- Use SVE optimization only for ARM64 Linux
- Use generic optimization for ARM64 macOS to avoid clang SVE issues
- Fixes macOS ARM64 compilation errors with SVE instructions

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

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: Update DiskANN submodule with OpenBLAS fallback support

- Points to commit 5c396c4 with ARM64 Linux OpenBLAS support
- Enables DiskANN to build on ARM64 Linux using standard BLAS libraries
- Resolves Intel MKL dependency issues for Docker ARM64 deployments

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with ZeroMQ polling configuration

- Points to commit 3a1016e with explicit polling method setup
- Resolves ZeroMQ autodetection issues on ARM64 Linux
- Ensures stable cross-platform ZeroMQ builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* retrigger ci

* fix: Update DiskANN submodule with ARM64 compiler flags fix

- Points to commit a0dc600 with architecture-specific compiler flags
- Removes x86 SIMD flags on ARM64 Linux to fix compilation errors
- Enables successful ARM64 Linux wheel builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with ARM64 compiler flags fix

- Points to commit 0921664 with architecture-specific compiler flags
- Removes x86 SIMD flags on ARM64 Linux to fix compilation errors
- Enables successful ARM64 Linux wheel builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* retrigger ci

* fix: Update DiskANN submodule with cross-platform prefetch support

- Points to commit 39192d6 with unified prefetch macros
- Replaces all Intel-specific _mm_prefetch calls with cross-platform macros
- Enables ARM64 Linux compatibility while maintaining x86 performance
- Resolves all remaining compilation errors for ARM64 builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with corrected ARM64 compatibility fixes

- Points to commit 3cb87a8 with proper x86 platform detection
- Includes ARM64 fallback for AVXDistanceInnerProductFloat function
- Resolves all remaining '__m256 was not declared' compilation errors
- Enables successful ARM64 Linux wheel builds for Docker compatibility

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with template type handling fix

- Points to commit d396bc3 with corrected template type handling
- Fixes DistanceInnerProduct template instantiation for int8_t/uint8_t types
- Resolves 'cannot convert const signed char* to const float*' error
- Completes ARM64 Linux compilation compatibility

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with DistanceFastL2::norm template fix

- Points to commit 69d9a99 with corrected template type handling
- Fixes DistanceFastL2::norm template instantiation for int8_t/uint8_t types
- Resolves another 'cannot convert const signed char* to const float*' error
- Continues ARM64 Linux compilation compatibility improvements

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with LAPACKE header detection

- Points to commit 64a9e01 with LAPACKE header path configuration
- Adds pkg-config based detection for LAPACKE include directories
- Resolves 'lapacke.h: No such file or directory' compilation error
- Completes OpenBLAS integration for ARM64 Linux builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with enhanced LAPACKE header detection

- Points to commit 18d0721 with fallback LAPACKE header search paths
- Checks multiple standard locations for lapacke.h on various systems
- Improves ARM64 Linux compatibility for OpenBLAS builds
- Should resolve 'lapacke.h: No such file or directory' errors

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Add liblapacke-dev package for ARM64 Linux builds

- Add liblapacke-dev to ARM64 dependencies alongside libopenblas-dev
- Provides lapacke.h header file needed for LAPACK C interface
- Fixes 'lapacke.h: No such file or directory' compilation error
- Enables complete OpenBLAS + LAPACKE support for ARM64 wheel builds

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with cosine_similarity.h x86 intrinsics fix

- Points to commit dbb17eb with corrected conditional compilation
- Fixes immintrin.h inclusion for ARM64 compatibility in cosine_similarity.h
- Resolves 'immintrin.h: No such file or directory' error
- Continues systematic ARM64 Linux compilation fixes

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

Co-Authored-By: Claude <noreply@anthropic.com>

* fix: Update DiskANN submodule with LAPACKE library linking fix

- Points to commit 19f9603 with explicit LAPACKE library discovery and linking
- Resolves 'undefined symbol: LAPACKE_sgesdd' runtime error on ARM64 Linux
- Completes ARM64 Linux wheel build compatibility for Docker deployments

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

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-09-02 14:27:06 -07:00

403 lines
14 KiB
YAML

name: Reusable Build
on:
workflow_call:
inputs:
ref:
description: 'Git ref to build'
required: false
type: string
default: ''
jobs:
lint:
name: Lint and Format Check
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
ref: ${{ inputs.ref }}
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install ruff
run: |
uv tool install ruff
- name: Run ruff check
run: |
ruff check .
- name: Run ruff format check
run: |
ruff format --check .
build:
needs: lint
name: Build ${{ matrix.os }} Python ${{ matrix.python }}
strategy:
matrix:
include:
- os: ubuntu-22.04
python: '3.9'
- os: ubuntu-22.04
python: '3.10'
- os: ubuntu-22.04
python: '3.11'
- os: ubuntu-22.04
python: '3.12'
- os: ubuntu-22.04
python: '3.13'
# ARM64 Linux builds
- os: ubuntu-24.04-arm
python: '3.9'
- os: ubuntu-24.04-arm
python: '3.10'
- os: ubuntu-24.04-arm
python: '3.11'
- os: ubuntu-24.04-arm
python: '3.12'
- os: ubuntu-24.04-arm
python: '3.13'
- os: macos-14
python: '3.9'
- os: macos-14
python: '3.10'
- os: macos-14
python: '3.11'
- os: macos-14
python: '3.12'
- os: macos-14
python: '3.13'
- os: macos-15
python: '3.9'
- os: macos-15
python: '3.10'
- os: macos-15
python: '3.11'
- os: macos-15
python: '3.12'
- os: macos-15
python: '3.13'
- os: macos-13
python: '3.9'
- os: macos-13
python: '3.10'
- os: macos-13
python: '3.11'
- os: macos-13
python: '3.12'
# Note: macos-13 + Python 3.13 excluded due to PyTorch compatibility
# (PyTorch 2.5+ supports Python 3.13 but not Intel Mac x86_64)
runs-on: ${{ matrix.os }}
steps:
- uses: actions/checkout@v5
with:
ref: ${{ inputs.ref }}
submodules: recursive
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python }}
- name: Install uv
uses: astral-sh/setup-uv@v6
- name: Install system dependencies (Ubuntu)
if: runner.os == 'Linux'
run: |
sudo apt-get update
sudo apt-get install -y libomp-dev libboost-all-dev protobuf-compiler libzmq3-dev \
pkg-config libabsl-dev libaio-dev libprotobuf-dev \
patchelf
# Debug: Show system information
echo "🔍 System Information:"
echo "Architecture: $(uname -m)"
echo "OS: $(uname -a)"
echo "CPU info: $(lscpu | head -5)"
# Install math library based on architecture
ARCH=$(uname -m)
echo "🔍 Setting up math library for architecture: $ARCH"
if [[ "$ARCH" == "x86_64" ]]; then
# Install Intel MKL for DiskANN on x86_64
echo "📦 Installing Intel MKL for x86_64..."
wget -q https://registrationcenter-download.intel.com/akdlm/IRC_NAS/79153e0f-74d7-45af-b8c2-258941adf58a/intel-onemkl-2025.0.0.940.sh
sudo sh intel-onemkl-2025.0.0.940.sh -a --components intel.oneapi.lin.mkl.devel --action install --eula accept -s
source /opt/intel/oneapi/setvars.sh
echo "MKLROOT=/opt/intel/oneapi/mkl/latest" >> $GITHUB_ENV
echo "LD_LIBRARY_PATH=/opt/intel/oneapi/compiler/latest/linux/compiler/lib/intel64_lin" >> $GITHUB_ENV
echo "LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/oneapi/mkl/latest/lib/intel64" >> $GITHUB_ENV
echo "✅ Intel MKL installed for x86_64"
# Debug: Check MKL installation
echo "🔍 MKL Installation Check:"
ls -la /opt/intel/oneapi/mkl/latest/ || echo "MKL directory not found"
ls -la /opt/intel/oneapi/mkl/latest/lib/ || echo "MKL lib directory not found"
elif [[ "$ARCH" == "aarch64" ]]; then
# Use OpenBLAS for ARM64 (MKL installer not compatible with ARM64)
echo "📦 Installing OpenBLAS for ARM64..."
sudo apt-get install -y libopenblas-dev liblapack-dev liblapacke-dev
echo "✅ OpenBLAS installed for ARM64"
# Debug: Check OpenBLAS installation
echo "🔍 OpenBLAS Installation Check:"
dpkg -l | grep openblas || echo "OpenBLAS package not found"
ls -la /usr/lib/aarch64-linux-gnu/openblas/ || echo "OpenBLAS directory not found"
fi
# Debug: Show final library paths
echo "🔍 Final LD_LIBRARY_PATH: $LD_LIBRARY_PATH"
- name: Install system dependencies (macOS)
if: runner.os == 'macOS'
run: |
# Don't install LLVM, use system clang for better compatibility
brew install libomp boost protobuf zeromq
- name: Install build dependencies
run: |
uv pip install --system scikit-build-core numpy swig Cython pybind11
if [[ "$RUNNER_OS" == "Linux" ]]; then
uv pip install --system auditwheel
else
uv pip install --system delocate
fi
- name: Set macOS environment variables
if: runner.os == 'macOS'
run: |
# Use brew --prefix to automatically detect Homebrew installation path
HOMEBREW_PREFIX=$(brew --prefix)
echo "HOMEBREW_PREFIX=${HOMEBREW_PREFIX}" >> $GITHUB_ENV
echo "OpenMP_ROOT=${HOMEBREW_PREFIX}/opt/libomp" >> $GITHUB_ENV
# Set CMAKE_PREFIX_PATH to let CMake find all packages automatically
echo "CMAKE_PREFIX_PATH=${HOMEBREW_PREFIX}" >> $GITHUB_ENV
# Set compiler flags for OpenMP (required for both backends)
echo "LDFLAGS=-L${HOMEBREW_PREFIX}/opt/libomp/lib" >> $GITHUB_ENV
echo "CPPFLAGS=-I${HOMEBREW_PREFIX}/opt/libomp/include" >> $GITHUB_ENV
- name: Build packages
run: |
# Build core (platform independent)
cd packages/leann-core
uv build
cd ../..
# Build HNSW backend
cd packages/leann-backend-hnsw
if [[ "${{ matrix.os }}" == macos-* ]]; then
# Use system clang for better compatibility
export CC=clang
export CXX=clang++
# Homebrew libraries on each macOS version require matching minimum version
if [[ "${{ matrix.os }}" == "macos-13" ]]; then
export MACOSX_DEPLOYMENT_TARGET=13.0
elif [[ "${{ matrix.os }}" == "macos-14" ]]; then
export MACOSX_DEPLOYMENT_TARGET=14.0
elif [[ "${{ matrix.os }}" == "macos-15" ]]; then
export MACOSX_DEPLOYMENT_TARGET=15.0
fi
uv build --wheel --python ${{ matrix.python }} --find-links ${GITHUB_WORKSPACE}/packages/leann-core/dist
else
uv build --wheel --python ${{ matrix.python }} --find-links ${GITHUB_WORKSPACE}/packages/leann-core/dist
fi
cd ../..
# Build DiskANN backend
cd packages/leann-backend-diskann
if [[ "${{ matrix.os }}" == macos-* ]]; then
# Use system clang for better compatibility
export CC=clang
export CXX=clang++
# DiskANN requires macOS 13.3+ for sgesdd_ LAPACK function
# But Homebrew libraries on each macOS version require matching minimum version
if [[ "${{ matrix.os }}" == "macos-13" ]]; then
export MACOSX_DEPLOYMENT_TARGET=13.3
elif [[ "${{ matrix.os }}" == "macos-14" ]]; then
export MACOSX_DEPLOYMENT_TARGET=14.0
elif [[ "${{ matrix.os }}" == "macos-15" ]]; then
export MACOSX_DEPLOYMENT_TARGET=15.0
fi
uv build --wheel --python ${{ matrix.python }} --find-links ${GITHUB_WORKSPACE}/packages/leann-core/dist
else
uv build --wheel --python ${{ matrix.python }} --find-links ${GITHUB_WORKSPACE}/packages/leann-core/dist
fi
cd ../..
# Build meta package (platform independent)
cd packages/leann
uv build
cd ../..
- name: Repair wheels (Linux)
if: runner.os == 'Linux'
run: |
# Repair HNSW wheel
cd packages/leann-backend-hnsw
if [ -d dist ]; then
auditwheel repair dist/*.whl -w dist_repaired
rm -rf dist
mv dist_repaired dist
fi
cd ../..
# Repair DiskANN wheel
cd packages/leann-backend-diskann
if [ -d dist ]; then
auditwheel repair dist/*.whl -w dist_repaired
rm -rf dist
mv dist_repaired dist
fi
cd ../..
- name: Repair wheels (macOS)
if: runner.os == 'macOS'
run: |
# Determine deployment target based on runner OS
# Must match the Homebrew libraries for each macOS version
if [[ "${{ matrix.os }}" == "macos-13" ]]; then
HNSW_TARGET="13.0"
DISKANN_TARGET="13.3"
elif [[ "${{ matrix.os }}" == "macos-14" ]]; then
HNSW_TARGET="14.0"
DISKANN_TARGET="14.0"
elif [[ "${{ matrix.os }}" == "macos-15" ]]; then
HNSW_TARGET="15.0"
DISKANN_TARGET="15.0"
fi
# Repair HNSW wheel
cd packages/leann-backend-hnsw
if [ -d dist ]; then
export MACOSX_DEPLOYMENT_TARGET=$HNSW_TARGET
delocate-wheel -w dist_repaired -v --require-target-macos-version $HNSW_TARGET dist/*.whl
rm -rf dist
mv dist_repaired dist
fi
cd ../..
# Repair DiskANN wheel
cd packages/leann-backend-diskann
if [ -d dist ]; then
export MACOSX_DEPLOYMENT_TARGET=$DISKANN_TARGET
delocate-wheel -w dist_repaired -v --require-target-macos-version $DISKANN_TARGET dist/*.whl
rm -rf dist
mv dist_repaired dist
fi
cd ../..
- name: List built packages
run: |
echo "📦 Built packages:"
find packages/*/dist -name "*.whl" -o -name "*.tar.gz" | sort
- name: Install built packages for testing
run: |
# Create a virtual environment with the correct Python version
uv venv --python ${{ matrix.python }}
source .venv/bin/activate || source .venv/Scripts/activate
# Install packages using --find-links to prioritize local builds
uv pip install --find-links packages/leann-core/dist --find-links packages/leann-backend-hnsw/dist --find-links packages/leann-backend-diskann/dist packages/leann-core/dist/*.whl || uv pip install --find-links packages/leann-core/dist packages/leann-core/dist/*.tar.gz
uv pip install --find-links packages/leann-core/dist packages/leann-backend-hnsw/dist/*.whl
uv pip install --find-links packages/leann-core/dist packages/leann-backend-diskann/dist/*.whl
uv pip install packages/leann/dist/*.whl || uv pip install packages/leann/dist/*.tar.gz
# Install test dependencies using extras
uv pip install -e ".[test]"
- name: Run tests with pytest
env:
CI: true
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
HF_HUB_DISABLE_SYMLINKS: 1
TOKENIZERS_PARALLELISM: false
PYTORCH_ENABLE_MPS_FALLBACK: 0
OMP_NUM_THREADS: 1
MKL_NUM_THREADS: 1
run: |
source .venv/bin/activate || source .venv/Scripts/activate
pytest tests/ -v --tb=short
- name: Run sanity checks (optional)
run: |
# Activate virtual environment
source .venv/bin/activate || source .venv/Scripts/activate
# Run distance function tests if available
if [ -f test/sanity_checks/test_distance_functions.py ]; then
echo "Running distance function sanity checks..."
python test/sanity_checks/test_distance_functions.py || echo "⚠️ Distance function test failed, continuing..."
fi
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
name: packages-${{ matrix.os }}-py${{ matrix.python }}
path: packages/*/dist/
arch-smoke:
name: Arch Linux smoke test (install & import)
needs: build
runs-on: ubuntu-latest
container:
image: archlinux:latest
steps:
- name: Prepare system
run: |
pacman -Syu --noconfirm
pacman -S --noconfirm python python-pip gcc git zlib openssl
- name: Download ALL wheel artifacts from this run
uses: actions/download-artifact@v5
with:
# Don't specify name, download all artifacts
path: ./wheels
- name: Install uv
uses: astral-sh/setup-uv@v6
- name: Create virtual environment and install wheels
run: |
uv venv
source .venv/bin/activate || source .venv/Scripts/activate
uv pip install --find-links wheels leann-core
uv pip install --find-links wheels leann-backend-hnsw
uv pip install --find-links wheels leann-backend-diskann
uv pip install --find-links wheels leann
- name: Import & tiny runtime check
env:
OMP_NUM_THREADS: 1
MKL_NUM_THREADS: 1
run: |
source .venv/bin/activate || source .venv/Scripts/activate
python - <<'PY'
import leann
import leann_backend_hnsw as h
import leann_backend_diskann as d
from leann import LeannBuilder, LeannSearcher
b = LeannBuilder(backend_name="hnsw")
b.add_text("hello arch")
b.build_index("arch_demo.leann")
s = LeannSearcher("arch_demo.leann")
print("search:", s.search("hello", top_k=1))
PY