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River Riddle 93813e5feb [mlir] Add a utility iterator range that repeats a given value `n` times.
This range is useful when an desired API expects a range or when comparing two different ranges for equality, but the underlying data is a splat. This range removes the need to explicitly construct a vector in those cases.

Differential Revision: https://reviews.llvm.org/D74683
2020-02-21 15:15:32 -08:00
clang [Hexagon] Define __ELF__ by default. 2020-02-21 16:10:31 -06:00
clang-tools-extra [clangd] Allow renaming class templates in cross-file rename. 2020-02-21 09:57:10 +01:00
compiler-rt [Hexagon] Define __ELF__ by default. 2020-02-21 16:10:31 -06:00
debuginfo-tests [debuginfo-tests][Dexter] Fix some Windows-unfriendly Dexter behaviours 2020-02-13 14:24:33 +00:00
libc [libc] Add Initial Support for Signals 2020-02-20 14:05:34 -05:00
libclc libclc: Use acos implementation from amd_builtins 2020-02-20 23:36:14 -05:00
libcxx [libc++] Do not set the `availability=XXX` feature when not testing against a system libc++ 2020-02-21 14:21:16 -05:00
libcxxabi [libcxxabi] Fix layout of __cxa_exception for win64 2020-02-03 09:55:02 +02:00
libunwind [libunwind][CMake] Treat S files as C to work around CMake bug. 2020-02-20 15:26:09 -08:00
lld [ARM] Change ARMAttributeParser::Parse to use support::endianness and simplify 2020-02-21 11:05:33 -08:00
lldb Revert "Allow customized relative PYTHONHOME" 2020-02-21 14:57:00 -08:00
llvm [Analysis][Docs] Parents of loops documentation. 2020-02-21 17:11:53 -06:00
mlir [mlir] Add a utility iterator range that repeats a given value `n` times. 2020-02-21 15:15:32 -08:00
openmp Detect and disable openmp tests that require multiple hardware processor to run 2020-02-21 14:02:12 +01:00
parallel-libs Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
polly [Polly] Run polly-update-format after commit 55cfb1. NFC. 2020-02-17 15:57:06 -06:00
pstl Bump the trunk major version to 11 2020-01-15 13:38:01 +01:00
.arcconfig Include phabricator.uri in .arcconfig 2020-01-23 11:50:18 -08:00
.clang-format Add .clang-tidy and .clang-format files to the toplevel of the 2019-01-29 16:43:16 +00:00
.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 LLDB reformatting to .git-blame-ignore-revs 2019-09-04 09:31:55 +00:00
.gitignore Add a newline at the end of the file 2019-09-04 06:33:46 +00:00
CONTRIBUTING.md Add contributing info to CONTRIBUTING.md and README.md 2019-12-02 15:47:15 +00:00
README.md [README] Add note on using cmake to perform the build 2020-02-12 14:51:24 -06:00

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.