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@choyy choyy commented Oct 20, 2025

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Summary of Changes

Hello @choyy, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request upgrades the Faiss library to its latest version, 1.12.0, enhancing its build flexibility and feature set. It introduces comprehensive configuration options for various components like GPU support, MKL integration, Python bindings, and C API, allowing users to tailor the build to their specific needs. The update also refines dependency handling and modernizes the build process, ensuring compatibility and improved performance.

Highlights

  • Faiss Version Update: The Faiss library has been updated to version 1.12.0, bringing the latest features and improvements.
  • New Configuration Options: Introduced new build configuration options for GPU support, static GPU linking, MKL integration, Python bindings, C API, and Link-Time Optimization (LTO).
  • Refined Dependency Management: The dependency resolution logic for CUDA, MKL, and OpenBLAS has been updated to be conditional based on the new configuration flags, allowing for more flexible builds.
  • Modernized Build Process: The on_install hook now leverages the new configuration flags for CMake and removes previous hardcoded modifications to CMakeLists.txt, streamlining the build.
  • C++ Standard Update: The C++ standard requirement for testing faiss::MultiIndexQuantizer has been updated from C++11 to C++17.
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Code Review

This pull request updates the faiss package to version 1.12.0 and significantly modernizes its xmake.lua script. The changes introduce much-needed configurability for features like GPU, MKL, Python, and C-API support, and expand platform compatibility. The dependency management has been improved, notably by making the CUDA dependency conditional. Overall, this is a great enhancement. However, I've found one critical issue in the MKL configuration logic that could lead to build failures, which I've detailed in a specific comment.

table.insert(configs, "-DBUILD_SHARED_LIBS=" .. (package:config("shared") and "ON" or "OFF"))
table.insert(configs, "-DFAISS_ENABLE_GPU=" .. (package:config("gpu") and "ON" or "OFF"))
table.insert(configs, "-DFAISS_GPU_STATIC=" .. (package:config("gpu_static") and "ON" or "OFF"))
table.insert(configs, "-DFAISS_ENABLE_MKL=" .. (package:config("mkl") and "ON" or "OFF"))
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critical

The logic for enabling MKL is currently incorrect. It only checks package:config("mkl"), which defaults to true. If the MKL library is not found on the system, on_load correctly adds openblas as a fallback. However, on_install will still pass -DFAISS_ENABLE_MKL=ON to CMake. This will cause the build to fail because faiss's build system will be unable to find the MKL library.

The condition should also check if the MKL package is actually found using find_package("mkl") before enabling the corresponding CMake option.

        table.insert(configs, "-DFAISS_ENABLE_MKL=" .. (find_package("mkl") and package:config("mkl") and "ON" or "OFF"))

if package:config("gpu") then
package:add("deps", "cuda")
end
if not find_package("mkl") or not package:config("mkl") then
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please do not call find_package in on_load

@waruqi waruqi merged commit 7c4f852 into xmake-io:dev Oct 26, 2025
61 checks passed
add_configs("mkl", {description = "Enable MKL.", default = false, type = "boolean"})
add_configs("python", {description = "Build Python extension.", default = false, type = "boolean"})
add_configs("c_api", {description = "Build C API.", default = false, type = "boolean"})
add_configs("lto", {description = "Enable Link-Time optimization.", default = false, type = "boolean"})
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@star-hengxing star-hengxing Oct 26, 2025

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This is built-in config, you can check xrepo info zlib.

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3 participants