I will investigate smarter ways for I am sorry to create yet another diff rather than suggesting you changes. I know it would be more tough to apply changes to other tablegen files. We would not rely on add_dependencies any more for tablegen action if we started using partitioning. I think we could have an option to exchange the order between tablegen and add_public_tablegen in such a case. the build fails with this error diagnostic: commandC:Program FilesCMakebincmake.exe -GNinja.
#CMAKE NINJA GENERATOR#
The default CMake build generator is operating system dependent. In this diff, the execution of tablegen(.) defers to add_public_tablegen(target), since the output path of tablegen depends on the name of target in add_public_tablegen(target). When adding the following command: CMake -GNinja. Switch CMake Generator to Ninja 28 March, 2020. So users of clangDriver can use clang/Driver/Options.inc. The component clangDriver exposes ClangDriverOptions as PUBLIC scope. I introduce “Header-only interface library” for it as ClangDriverOptions. # error If you're seeing this message, you're missing a dependency on ClangDriverOptions.Īnd then add target_compile_definitions($. What I have in mind is to add a guard to each generated file that complains if you are missing a preprocessor definition: #ifndef TBLGEN_DEP_GUARD_ClangDriverOptions I’d like to propose fixing that permanently. When it doesn’t, you get an error like: llvm-project/llvm/include/llvm/IR/Attributes.h:91:14: fatal error: 'llvm/IR/Attributes.inc' file not found So why havent I seen this bug before Well. Often, this accidentally works out ok because Ninja happens to build things in an order where the dependency is satisfied out of pure luck. It was looking for 'ninja-build', not 'ninja' I use CMake with Ninja extensively at work and at home, on Windows and Linux. It's a complete build (nanoBooter and nanoCLR) for a STM32F429I_DISCOVERY target with debugger and GPIO enabled.It is all too easy to forget a CMake dependency on a TableGen’erated file. Performance comparisonĪ simple test to compare the performance of NMake and Ninja was carried. To use it, specify -G Ninja on the command line: 1 2. Hello World with CMake and Ninja Build Automation Use Your Illusion 55 subscribers Subscribe 205 Share 13K views 1 year ago This video presents the basics of CMake and its functionalities.
C++Builder already supports parallel compilation, but Ninja has a very nice implementation. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible. It comes as a single EXE, just like a traditional Delphi or C++Builder app. This generator prefers to lookup the build tool at build time rather than to store CMAKEMAKEPROGRAM in the CMake cache ahead of time. The Xcode generator sets this to xcodebuild. If you don't have one just add a block like this: "nfigureSettings": ,Īnd that is it! Hit F7 or click the build configuration options for CMake Tools at the bottom toolbar. Ninja is a very small and fast build system. This generator stores CMAKEMAKEPROGRAM in the CMake cache so that it may be edited by the user. The Ninja generator conditionally supports Fortran when the ninja tool has the required features. Fortunately, CMake now has a ninja generator so that your project can take advantage of this new tool.
ninja was created to run faster than make and of course run parallel builds very well.
#CMAKE NINJA FULL#
This is were the full path to the Nina executable should be set. This is a replacement for the GNU make tool.
#CMAKE NINJA INSTALL#
The current recommended default is Ninja, which you can install from the mingw-w64-x8664-ninja. With the llvm-tblgen tool at hand, you can now start the cross-compilation. If you don't have one just add it like this: "cmake.generator": "Ninja", You also want to install a tool for actually doing the build. Only the llvmtblgen tool is compiled with Ninja.
#CMAKE NINJA CODE#
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