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Richard Smith 00e5d38d40 Do not warn that an expression of the form (void)arr; is unused when
arr is a volatile non-local array.

This fixes a recent regression exposed by removing lvalue-to-rvalue
conversion of discarded volatile arrays. In passing, regularize the
rules we use to determine whether '(void)expr;' warns when expr is a
volatile glvalue.
2020-05-27 17:26:29 -07:00
clang Do not warn that an expression of the form (void)arr; is unused when 2020-05-27 17:26:29 -07:00
clang-tools-extra [clangd] Add access specifier information to hover contents 2020-05-27 19:36:46 +02:00
compiler-rt tsan: fix test in debug mode 2020-05-27 21:48:39 +02:00
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][Obvious] Convert the MPFR operations enum to an enum class. 2020-05-26 22:26:41 -07:00
libclc libclc: Pass system libraries to the linker after llvm libraries 2020-04-29 15:34:54 -07:00
libcxx [NFC] Reformat TEST_FOO macros in test_macros.h 2020-05-27 16:54:43 -04:00
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] --wrap: Drop __real_ symbol from the symbol table 2020-05-27 16:58:00 -07:00
lldb Fix a use-after-free in GetXcodeSDKPath 2020-05-27 14:27:16 -07:00
llvm Introduce a GCStatepointInst type analogous to IntrinsicInst subclasses 2020-05-27 17:25:13 -07:00
mlir [mlir][Linalg] Add missing library linkage for shared library builds. 2020-05-27 14:29:35 -07:00
openmp [OpenMP] Fix a race in task queue reallocation 2020-05-25 10:23:22 +02:00
parallel-libs [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
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 [arcconfig] Default base to previous revision 2020-02-24 16:20:25 -08:00
.arclint Fix .arclint on Windows 2020-04-28 09:55:48 -07:00
.clang-format
.clang-tidy - Update .clang-tidy to ignore parameters of main like functions for naming violations in clang and llvm directory 2020-01-31 16:49:45 +00:00
.git-blame-ignore-revs Add some libc++ revisions to .git-blame-ignore-revs 2020-03-17 17:30:20 -04:00
.gitignore
CONTRIBUTING.md
README.md Revert "This is a test commit." 2020-04-11 15:55:07 -07:00

README.md

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.