# faiss-wheels
[](https://github.com/kyamagu/faiss-wheels/actions/workflows/build.yml)
[](https://pypi.org/project/faiss-cpu/)
faiss python wheel packages.
- [faiss](https://github.com/facebookresearch/faiss)
## Overview
This repository provides scripts to build wheel packages for the
[faiss](https://github.com/facebookresearch/faiss) library.
- Builds CPU-only version with [cibuildwheel](https://github.com/pypa/cibuildwheel/).
- Bundles OpenBLAS in Linux/Windows
- Uses Accelerate framework in macOS
There is also a source package to customize the build process.
> **Note**
> GPU binary package is discontinued as of 1.7.3 release. Build a source package to support GPU features.
### Install
Install the CPU-only binary package by:
```bash
pip install faiss-cpu
```
Note that the package name is `faiss-cpu`.
## Supporting GPU or customized build configuration
The PyPI binary package does not support GPU.
To support GPU methods or use faiss with different build configuration, build a source package.
For building the source package, swig 3.0.12 or later needs to be available.
Also, there should be all the required prerequisites for building faiss itself, such as `nvcc` and CUDA toolkit.
## Building faiss
*The source package assumes faiss and OpenBLAS are already built and installed in the system.*
If not done so elsewhere, build and install the faiss library first.
The following example builds and installs faiss with GPU support and avx512 instruction set.
```bash
git clone https://github.com/facebookresearch/faiss.git
cd faiss
cmake . -B build -DFAISS_ENABLE_GPU=ON -DFAISS_ENABLE_PYTHON=OFF -DFAISS_OPT_LEVEL=avx512
cmake --build build --config Release -j
cmake --install build install
cd ..
```
See the official
[faiss installation instruction](https://github.com/facebookresearch/faiss/blob/master/INSTALL.md)
for more on how to build and install faiss.
### Building and installing a source package
Once faiss is built and installed, build the source package.
The following builds and installs the faiss-cpu source package with GPU and AVX512.
```bash
export FAISS_ENABLE_GPU=ON FAISS_OPT_LEVEL=avx512
pip install --no-binary :all: faiss-cpu
```
There are a few environment variables that specifies build-time options.
- `FAISS_INSTALL_PREFIX`: Specifies the install location of faiss library, default to `/usr/local`.
- `FAISS_OPT_LEVEL`: Faiss SIMD optimization, one of `generic`, `avx2`, `avx512`. Note that AVX option is only available in x86_64 arch.
- `FAISS_ENABLE_GPU`: Setting this variable to `ON` builds GPU wrappers. Set this variable if faiss is built with GPU support.
- `CUDA_HOME`: Specifies CUDA install location for building GPU wrappers, default to `/usr/local/cuda`.
Note that you can build a custom wheel package without installing it. The resulting package can be installed in the other python environment as long as the ABI is the same. Otherwise, use [`auditwheel`](https://github.com/pypa/auditwheel) or similar tools to package the binary dependency after building a wheel.
```bash
export FAISS_ENABLE_GPU=ON FAISS_OPT_LEVEL=avx512
pip wheel --no-binary :all: faiss-cpu
```
> **Note**
> Currently, the source package only supports the OpenBLAS backend; other BLAS implementation is not supported.
## Development
This repository is intended to support PyPI distribution for the official [faiss](https://github.com/facebookresearch/faiss) library.
The repository contains the CI workflow based on [cibuildwheel](https://github.com/pypa/cibuildwheel/).
Feel free to make a pull request to fix packaging problems.
Other relevant resources:
- [Packaging projects with GPU code](https://pypackaging-native.github.io/key-issues/gpus/)
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"description": "# faiss-wheels\n\n[](https://github.com/kyamagu/faiss-wheels/actions/workflows/build.yml)\n[](https://pypi.org/project/faiss-cpu/)\n\nfaiss python wheel packages.\n\n- [faiss](https://github.com/facebookresearch/faiss)\n\n## Overview\n\nThis repository provides scripts to build wheel packages for the\n[faiss](https://github.com/facebookresearch/faiss) library.\n\n- Builds CPU-only version with [cibuildwheel](https://github.com/pypa/cibuildwheel/).\n- Bundles OpenBLAS in Linux/Windows\n- Uses Accelerate framework in macOS\n\nThere is also a source package to customize the build process.\n\n> **Note**\n> GPU binary package is discontinued as of 1.7.3 release. Build a source package to support GPU features.\n\n### Install\n\nInstall the CPU-only binary package by:\n\n```bash\npip install faiss-cpu\n```\n\nNote that the package name is `faiss-cpu`.\n\n## Supporting GPU or customized build configuration\n\nThe PyPI binary package does not support GPU.\nTo support GPU methods or use faiss with different build configuration, build a source package.\nFor building the source package, swig 3.0.12 or later needs to be available.\nAlso, there should be all the required prerequisites for building faiss itself, such as `nvcc` and CUDA toolkit.\n\n## Building faiss\n\n*The source package assumes faiss and OpenBLAS are already built and installed in the system.*\nIf not done so elsewhere, build and install the faiss library first.\nThe following example builds and installs faiss with GPU support and avx512 instruction set.\n\n```bash\ngit clone https://github.com/facebookresearch/faiss.git\ncd faiss\ncmake . -B build -DFAISS_ENABLE_GPU=ON -DFAISS_ENABLE_PYTHON=OFF -DFAISS_OPT_LEVEL=avx512\ncmake --build build --config Release -j\ncmake --install build install\ncd ..\n```\n\nSee the official\n[faiss installation instruction](https://github.com/facebookresearch/faiss/blob/master/INSTALL.md)\nfor more on how to build and install faiss.\n\n### Building and installing a source package\n\nOnce faiss is built and installed, build the source package.\nThe following builds and installs the faiss-cpu source package with GPU and AVX512.\n\n```bash\nexport FAISS_ENABLE_GPU=ON FAISS_OPT_LEVEL=avx512\npip install --no-binary :all: faiss-cpu\n```\n\nThere are a few environment variables that specifies build-time options.\n- `FAISS_INSTALL_PREFIX`: Specifies the install location of faiss library, default to `/usr/local`.\n- `FAISS_OPT_LEVEL`: Faiss SIMD optimization, one of `generic`, `avx2`, `avx512`. Note that AVX option is only available in x86_64 arch.\n- `FAISS_ENABLE_GPU`: Setting this variable to `ON` builds GPU wrappers. Set this variable if faiss is built with GPU support.\n- `CUDA_HOME`: Specifies CUDA install location for building GPU wrappers, default to `/usr/local/cuda`.\n\nNote that you can build a custom wheel package without installing it. The resulting package can be installed in the other python environment as long as the ABI is the same. Otherwise, use [`auditwheel`](https://github.com/pypa/auditwheel) or similar tools to package the binary dependency after building a wheel.\n\n```bash\nexport FAISS_ENABLE_GPU=ON FAISS_OPT_LEVEL=avx512\npip wheel --no-binary :all: faiss-cpu\n```\n\n> **Note**\n> Currently, the source package only supports the OpenBLAS backend; other BLAS implementation is not supported.\n\n## Development\n\nThis repository is intended to support PyPI distribution for the official [faiss](https://github.com/facebookresearch/faiss) library.\nThe repository contains the CI workflow based on [cibuildwheel](https://github.com/pypa/cibuildwheel/).\nFeel free to make a pull request to fix packaging problems.\n\nOther relevant resources:\n\n- [Packaging projects with GPU code](https://pypackaging-native.github.io/key-issues/gpus/)\n",
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