Implement double precision log10 function correctly rounded for all rounding modes. This implementation currently needs FMA instructions for correctness. Use 2 passes: Fast pass: - 1 step range reduction with a lookup table of `2^7 = 128` elements to reduce the ranges to `[-2^-7, 2^-7]`. - Use a degree-7 minimax polynomial generated by Sollya, evaluated using a mixed of double-double and double precisions. - Apply Ziv's test for accuracy. Accurate pass: - Apply 5 more range reduction steps to reduce the ranges further to [-2^-27, 2^-27]. - Use a degree-4 minimax polynomial generated by Sollya, evaluated using 192-bit precisions. - By the result of Lefevre (add quote), this is more than enough for correct rounding to all rounding modes. In progress: Adding detail documentations about the algorithm. Depend on: https://reviews.llvm.org/D136799 Reviewed By: zimmermann6 Differential Revision: https://reviews.llvm.org/D139846
Building and Testing LLVM libc on Windows
Setting Up Environment
To build LLVM libc on Windows, first build Clang using the following steps.
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Open Command Prompt in Windows
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Set TEMP and TMP to a directory. Creating this path is necessary for a successful clang build.
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Create tmp under your preferred directory or under
C:\src:cd C:\src mkdir tmp -
In the start menu, search for "environment variables for your account". Set TEMP and TMP to
C:\src\tmpor the corresponding path elsewhere.
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Download Visual Studio Community.
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Install CMake and Ninja. (Optional, included in Visual Studio).
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Load the Visual Studio environment variables using this command. This is crucial as it allows you to use build tools like CMake and Ninja:
"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvarsall.bat" amd64Note: Rerun this command every time you open a new Command Prompt window.
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If you have not used Git before, install Git for Windows. Check out the LLVM source tree from Github using:
git clone https://github.com/llvm/llvm-project.git -
Ensure you have access to Clang, either by downloading from LLVM Download or building it yourself.
Building LLVM libc
In this section, Clang will be used to compile LLVM libc, and finally, build and test the libc.
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Create a empty build directory in
C:\srcor your preferred directory and cd to it using:mkdir libc-build cd libc-build -
Run the following CMake command to generate build files. LLVM libc must be built by Clang, so ensure Clang is specified as the C and C++ compiler.
cmake -G Ninja ../llvm-project/llvm -DCMAKE_C_COMPILER=C:/src/clang-build/bin/clang-cl.exe -DCMAKE_CXX_COMPILER=C:/src/clang-build/bin/clang-cl.exe -DLLVM_TARGETS_TO_BUILD=X86 -DLLVM_FORCE_BUILD_RUNTIME=libc -DLLVM_ENABLE_PROJECTS=libc -DLLVM_NATIVE_ARCH=x86_64 -DLLVM_HOST_TRIPLE=x86_64-window-x86-gnuSome LLVM libc math unittests test correctness/accuracy against results from the GNU MPFR library. If you want to run math tests which use MPFR, and if MPFR on your machine is not installed in the default include and linker lookup directories, then you can specify the MPFR install directory by passing an additional CMake option as follows:
-DLLVM_LIBC_MPFR_INSTALL_PATH=<path/mpfr/install/dir>
If the above option is specified, then
${LLVM_LIBC_MPFR_INSTALL_PATH}/includewill be added to the include directories, and${LLVM_LIBC_MPFR_INSTALL_PATH}/libwill be added to the linker lookup directories.NOTE: The GNU MPFR library depends on the GNU GMP library. If you specify the above option, then it will be assumed that GMP is also installed in the same directory or availabe in the default paths.
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Build LLVM libc using:
ninja llvmlibc -
Run tests using:
ninja checklibc