|tagger||Hans Wennborg <email@example.com>||Thu Mar 19 12:54:18 2020 +0100|
|author||Saar Raz <firstname.lastname@example.org>||Tue Mar 17 01:43:29 2020 +0200|
|committer||Hans Wennborg <email@example.com>||Thu Mar 19 10:19:04 2020 +0100|
[Concepts] Fix incorrect control flow when TryAnnotateTypeConstraint annotates an invalid template-id TryAnnotateTypeConstraint could annotate a template-id which doesn't end up being a type-constraint, in which case control flow would incorrectly flow into ParseImplicitInt. Reenter the loop in this case. Enable relevant tests for C++20. This required disabling typo-correction during TryAnnotateTypeConstraint and changing a test case which is broken due to a separate bug (will be reported and handled separately). (cherry picked from commit 19fccc52ff2c1da1f93d9317c34769bd9bab8ac8)
This directory and its subdirectories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and runtime environments.
The README briefly describes how to get started with building LLVM. For more information on how to contribute to the LLVM project, please take a look at the Contributing to LLVM guide.
Taken from https://llvm.org/docs/GettingStarted.html.
Welcome to the LLVM project!
The LLVM project has multiple components. The core of the project is itself called “LLVM”. This contains all of the tools, libraries, and header files needed to process intermediate representations and converts it into object files. Tools include an assembler, disassembler, bitcode analyzer, and bitcode optimizer. It also contains basic regression tests.
C-like languages use the Clang front end. This component compiles C, C++, Objective C, and Objective C++ code into LLVM bitcode -- and from there into object files, using LLVM.
The LLVM Getting Started documentation may be out of date. The Clang Getting Started page might have more accurate information.
This is an example workflow and configuration to get and build the LLVM source:
Checkout LLVM (including related subprojects like Clang):
git clone https://github.com/llvm/llvm-project.git
Or, on windows,
git clone --config core.autocrlf=false https://github.com/llvm/llvm-project.git
Configure and build LLVM and Clang:
cmake -G <generator> [options] ../llvm
Some common generators are:
Ninja--- for generating Ninja build files. Most llvm developers use Ninja.
Unix Makefiles--- for generating make-compatible parallel makefiles.
Visual Studio--- for generating Visual Studio projects and solutions.
Xcode--- for generating Xcode projects.
Some Common options:
-DLLVM_ENABLE_PROJECTS='...' --- semicolon-separated list of the LLVM subprojects you'd like to additionally build. Can include any of: clang, clang-tools-extra, libcxx, libcxxabi, libunwind, lldb, compiler-rt, lld, polly, or debuginfo-tests.
For example, to build LLVM, Clang, libcxx, and libcxxabi, use
-DCMAKE_INSTALL_PREFIX=directory --- Specify for directory the full pathname of where you want the LLVM tools and libraries to be installed (default
-DCMAKE_BUILD_TYPE=type --- Valid options for type are Debug, Release, RelWithDebInfo, and MinSizeRel. Default is Debug.
-DLLVM_ENABLE_ASSERTIONS=On --- Compile with assertion checks enabled (default is Yes for Debug builds, No for all other build types).
Run your build tool of choice!
The default target (i.e.
make) will build all of LLVM.
check-all target (i.e.
ninja check-all) will run the regression tests to ensure everything is in working order.
CMake will generate build targets for each tool and library, and most LLVM sub-projects generate their own
Running a serial build will be slow. To improve speed, try running a parallel build. That's done by default in Ninja; for
make -j NNN (NNN is the number of parallel jobs, use e.g. number of CPUs you have.)
For more information see CMake