llvm with tablegen backend for capstone disassembler
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Richard Smith a6308c0ad9 When performing a substitution into a dependent alias template, mark the
outer levels as retained rather than omitting their arguments.

This better reflects what's going on (we're performing a substitution
while still inside a template), and in theory is more correct, but I've
not found a testcase where it matters in practice (largely because we
don't allow alias templates to be declared inside a function).

Fixed AST dumping of SubstNonTypeTemplateParm[Pack]Expr to demonstrate
that we're properly substituting through dependent alias templates. (We
can't deduce properly through these yet, but we can at least produce the
right input to template argument deduction.)

No functionality change intended.
2020-06-23 14:43:04 -07:00
clang When performing a substitution into a dependent alias template, mark the 2020-06-23 14:43:04 -07:00
clang-tools-extra [openmp] Add missing dependencies for OMP.h.inc after d90443b 2020-06-23 11:48:04 -04:00
compiler-rt test/msan/sigwait: Don't silently ignore assertion failures 2020-06-23 14:10:51 -07:00
debuginfo-tests [Dexter] Add --source-dir-root flag 2020-06-18 09:29:08 -07:00
flang add copy of MLIR .clang-tidy to squelch noise in phabricator reviews 2020-06-22 15:26:28 -07:00
libc [libc][Obvious] Fix few typos in tests. 2020-06-23 13:11:41 -07:00
libclc libclc: update website url 2020-05-29 09:18:37 +02:00
libcxx [Coroutines] Fix a few failing tests 2020-06-23 10:48:17 -07:00
libcxxabi [libc++abi] Allow code-signing executables when running the tests 2020-06-23 09:03:22 -04:00
libunwind unwind: EHABISectionIterator operator!=, constify operator- 2020-06-18 08:54:34 -07:00
lld [LLD][PowerPC] Add support for R_PPC64_PCREL34 2020-06-23 14:59:19 -05:00
lldb [lldb/Lua] Fix typo: s/stdout/stderr/ 2020-06-23 14:19:03 -07:00
llvm [SVE] Remove calls to VectorType::getNumElements from AsmParser 2020-06-23 14:31:49 -07:00
mlir [mlir] [VectorOps] Improve vector.create_mask lowering 2020-06-23 14:33:41 -07:00
openmp [OpenMP][OMPT] Pass mutexinoutset to the tool 2020-06-19 12:51:18 +02:00
parallel-libs
polly [SVE] Eliminate calls to default-false VectorType::get() from polly 2020-05-29 10:04:06 -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
.arcconfig
.arclint
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore Add GNU idutils tag filename to .gitignore. 2020-06-12 16:06:44 -04:00
CONTRIBUTING.md
README.md Revert 'This is a test commit - ded57e1a06 2020-06-18 01:03:42 +05:30

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.