llvm with tablegen backend for capstone disassembler
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Frederik Gossen b975e3b5aa [MLIR] Add canoncalization for shape.is_broadcastable
Canonicalize `is_broadcastable` to constant true if fewer than 2 unique shape
operands. Eliminate redundant operands, otherwise.

Differential Revision: https://reviews.llvm.org/D98361
2021-03-11 10:10:34 +01:00
.github Removing the main to master sync GitHub workflow. 2021-01-28 12:18:25 -08:00
clang [SEH] Fix capture of this in lambda functions 2021-03-11 09:12:42 +01:00
clang-tools-extra [clangd] Use Dirty Filesystem for cross file rename. 2021-03-10 13:41:29 +00:00
compiler-rt [sanitizer] Change NanoTime to use clock_gettime on non-glibc 2021-03-10 23:02:51 -08:00
debuginfo-tests Fix debuginfo-tests/llvm-prettyprinters build after MLIR API change in e6260ad043 (NFC) 2021-03-02 19:21:03 +00:00
flang Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
libc Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
libclc libclc: Add clspv target to libclc 2021-03-04 00:19:10 -05:00
libcxx Add noreturn attribute to non-returning functions 2021-03-10 14:35:50 -08:00
libcxxabi [runtimes] Use add_lit_testsuite to register lit testsuites 2021-03-05 10:37:21 -08:00
libunwind [libunwind] Install the DLL when doing "ninja install" 2021-03-07 10:36:22 +02:00
lld Re-land "[PDB] Defer relocating .debug$S until commit time and parallelize it" 2021-03-10 15:14:09 -08:00
lldb [nfc] [lldb] Remove variable ranges_base in DWARFUnit::AddUnitDIE 2021-03-10 23:36:07 +01:00
llvm Fix unused lambda capture in a non-asserts build 2021-03-11 00:22:18 -08:00
mlir [MLIR] Add canoncalization for shape.is_broadcastable 2021-03-11 10:10:34 +01:00
openmp Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
parallel-libs
polly Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
pstl Rename top-level LICENSE.txt files to LICENSE.TXT 2021-03-10 21:26:24 -08:00
runtimes [CMake] Rename RUNTIMES_BUILD to LLVM_RUNTIMES_BUILD 2021-03-03 10:58:51 -08:00
test/tools/llvm-lto llvm-lto: default Relocation Model should be selected by the TargetMachine. 2021-03-10 17:31:26 -05:00
utils/arcanist Fix arc lint's clang-format rule: only format the file we were asked to format. 2020-10-11 14:24:23 -07:00
.arcconfig Add modern arc config for default "onto" branch 2021-02-22 11:58:13 -08:00
.arclint
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore [NFC] Add CMakeUserPresets.json filename to .gitignore 2021-01-22 12:45:29 +01:00
CONTRIBUTING.md
README.md [doc] Use cmake's -S option to simplify the build instructions 2021-02-16 14:47:06 -06:00

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

    • cmake -S llvm -B build -G <generator> [options]

      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 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.