Find a file
Kirstóf Umann 5192783bb2 [analyzer][RetainCount] Tie diagnostics to osx.cocoa.RetainCount rather then RetainCountBase, for the most part
Similarly to other patches of mine, I'm trying to uniformize the checker
interface so that dependency checkers don't emit diagnostics. The checker that
made me most anxious so far was definitely RetainCount, because it is definitely
impacted by backward compatibility concerns, and implements a checker hierarchy
that is a lot different to other examples of similar size. Also, I don't have
authority, nor expertise regarding ObjC related code, so I welcome any
objection/discussion!

Differential Revision: https://reviews.llvm.org/D78099
2020-05-27 00:01:47 +02:00
clang [analyzer][RetainCount] Tie diagnostics to osx.cocoa.RetainCount rather then RetainCountBase, for the most part 2020-05-27 00:01:47 +02:00
clang-tools-extra [clangd] Don't traverse the AST within uninteresting files during indexing 2020-05-26 10:27:28 +02:00
compiler-rt [Clang][Driver] Add Bounds and Thread to SupportsCoverage list 2020-05-26 13:36:21 -07:00
debuginfo-tests Only run pretty-printer tests for builds with debug-info. 2020-05-14 09:19:43 +02:00
flang [flang] Fixes for problems with declaring procedure entities 2020-05-26 12:17:20 -07:00
libc [libc][NFC] Simplify memcpy implementation 2020-05-26 11:38:48 +00:00
libclc libclc: Pass system libraries to the linker after llvm libraries 2020-04-29 15:34:54 -07:00
libcxx [libc++] [LWG3201] Update status page: lerp should be marked noexcept. 2020-05-25 22:28:21 +02:00
libcxxabi [demangler] Support for 'this' expressions 2020-05-13 22:28:51 -04:00
libunwind unwind: fix unwind build without heap 2020-05-15 14:45:22 -07:00
lld [ELF] Allow misaligned SHT_GNU_verneed 2020-05-26 11:18:19 -07:00
lldb [DwarfExpression] Support entry values for indirect parameters 2020-05-26 14:22:28 -07:00
llvm [debuginfo] Fix broken tests from MachineLICM salvaging fix 2020-05-26 22:46:07 +01:00
mlir [mlir] Hotfix - Add inline to avoid multiple symbols on trivial functions 2020-05-26 16:24:56 -04:00
openmp [OpenMP] Fix a race in task queue reallocation 2020-05-25 10:23:22 +02:00
parallel-libs
polly Make Value::getPointerAlignment() return an Align, not a MaybeAlign. 2020-05-20 16:37:20 -07:00
pstl [pstl] A fix for move placement-new (and destroy) allocated objects from raw memory. 2020-05-18 17:00:13 +03:00
utils/arcanist Use in-tree clang-format-diff.py as Arcanist linter 2020-04-06 12:02:20 -04:00
.arcconfig
.arclint Fix .arclint on Windows 2020-04-28 09:55:48 -07:00
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore
CONTRIBUTING.md
README.md Revert "This is a test commit." 2020-04-11 15:55:07 -07:00

The LLVM Compiler Infrastructure

This directory and its sub-directories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and run-time 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.

Getting Started with the LLVM System

Taken from https://llvm.org/docs/GettingStarted.html.

Overview

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.

Getting the Source Code and Building 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 work-flow and configuration to get and build the LLVM source:

  1. Checkout LLVM (including related sub-projects 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

  2. Configure and build LLVM and Clang:

    • cd llvm-project

    • mkdir build

    • cd build

    • cmake -G <generator> [options] ../llvm

      Some common build system 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 sub-projects 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 path name 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).

    • cmake --build . [-- [options] <target>] or your build system specified above directly.

      • 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 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 the option -j NNN, where NNN is the number of parallel jobs, e.g. the 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.