![]() ![]() Out-of-source builds also facilitate the creation of reproducible environments, a crucial aspect in AI/ML and Data Science. This approach ensures a clean separation between the source code and the build files, making it easier to manage and clean up the build artifacts. Out-of-Source BuildsĬMake promotes out-of-source builds, where the build artifacts are stored in a separate directory from the source code. This feature is particularly useful in AI/ML and Data Science projects, which often rely on numerous external libraries and frameworks. Developers can specify the required dependencies in the CMakeLists.txt file, and CMake automatically handles the process of locating and linking them during the build. Dependency ManagementĬMake simplifies dependency management by providing built-in support for finding and linking external libraries. This cross-platform compatibility ensures that a project can be easily built and deployed on different operating systems without significant modifications to the build system. One of the primary advantages of CMake is its ability to generate platform-specific build files, such as Makefiles on Unix-like systems or Visual Studio project files on Windows. This file acts as the project's build script and provides a comprehensive overview of the project's structure. Developers create a CMakeLists.txt file, where they specify the project's source files, dependencies, compiler flags, and other build-related information. Key Features and Usage Declarative ConfigurationĬMake uses a declarative configuration approach, allowing developers to define their project's build process in a clear and concise manner. ![]() CMake was designed to be simple, extensible, and platform-independent, making it an ideal choice for AI/ML and Data Science projects. It aimed to provide a unified build system that could generate build files for various platforms, such as Unix, Windows, and macOS. Origins and HistoryĬMake was initially developed by Kitware in the year 2000 to address the challenges faced by developers in building software across multiple platforms. In the context of AI/ML and Data Science, CMake plays a crucial role in simplifying the deployment and reproducibility of complex projects. It offers a high-level scripting language, allowing developers to define and manage their project's build process efficiently. CMake, standing for "Cross-Platform Make," is an open-source build system that enables the seamless compilation and build process of software projects.
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