commit | 05badc60b7f4dff3c1b9efd5d7eea13979e255db | [log] [tgz] |
---|---|---|
author | Jonas Devlieghere <jonas@devlieghere.com> | Thu Jan 30 11:20:15 2020 -0800 |
committer | Jonas Devlieghere <jonas@devlieghere.com> | Thu Jan 30 11:22:12 2020 -0800 |
tree | b96bd9f27c1232be864be073ec66975f2607cbb4 | |
parent | 8b737688c21a9755cae14cb9343930e0882164ab [diff] |
[lldb/Reproducers] Fix API boundary tracking bug When recording the result from the LLDB_RECORD_RESULT macro, we need to update the boundary so we capture the copy constructor. However, when called to record the this pointer of the (copy) constructor itself, the boundary should not be toggled, because it is called from the LLDB_RECORD_CONSTRUCTOR macro, which might be followed by other API calls. This manifested itself as an object encountered during replay that we hadn't seen before. The index-to-object mapping would return a nullptr and lldb would crash.
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.
Other components include: the libc++ C++ standard library, the LLD linker, and more.
The LLVM Getting Started documentation may be out of date.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:
cd llvm-project
mkdir build
cd build
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 -DLLVM_ENABLE_PROJECTS="clang;libcxx;libcxxabi"
.
-DCMAKE_INSTALL_PREFIX=directory
--- Specify for directory the full pathname of where you want the LLVM tools and libraries to be installed (default /usr/local
).
-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. ninja
or make
) will build all of LLVM.
The 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 check-<project>
target.
Running a serial build will be slow. To improve speed, try running a parallel build. That's done by default in Ninja; for make
, use make -j NNN
(NNN is the number of parallel jobs, use e.g. number of CPUs you have.)
For more information see CMake
Consult the Getting Started with LLVM page for detailed information on configuring and compiling LLVM. You can visit Directory Layout to learn about the layout of the source code tree.