llvm with tablegen backend for capstone disassembler
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Jonas Devlieghere dfe9a7943b [lldb/Reproducers] Override capture with LLDB_CAPTURE_REPRODUCER env var
Make it possible to override reproducer capture with the
LLDB_CAPTURE_REPRODUCER environment variable.

The goal of this change is twofold.

(1) I want to be able to enable capturing reproducers during regular
    test runs, both locally and on the bots. To do so I need a way to
    force capture. I cannot do this through the Python API, because
    reproducer capture must be enabled *before* the debugger
    initialized, which happens automatically when doing `import lldb`.

(2) I want to provide an escape hatch for when reproducers are enabled
    by default. Downstream we have reproducer capture enabled by default
    in the driver.

This patch solves both problems by overriding the reproducer mode based
on the environment variable. Acceptable values are 0/1 and ON/OFF.
2019-12-04 16:49:11 -08:00
clang [analyzer] Fix more ObjC accessor body farms after 2073dd2d. 2019-12-04 16:29:08 -08:00
clang-tools-extra [clang-change-namespace] Change file pattern to be an anchored regex 2019-12-04 15:48:44 +01:00
compiler-rt [compiler-rt] FuzzedDataProvider: do not call memcpy on empty vector. 2019-12-04 14:18:52 -08:00
debuginfo-tests [debuginfo] Update test to account for missing __debug_macinfo 2019-11-11 10:40:47 -08:00
libc [libc] Add a TableGen based header generator. 2019-11-22 13:02:24 -08:00
libclc libclc: Drop the old python based build system 2019-11-08 09:59:40 -05:00
libcxx [libcxx{,abi}] Emit deplibs only when detected by CMake 2019-12-02 22:19:20 +01:00
libcxxabi [libcxx{,abi}] Emit deplibs only when detected by CMake 2019-12-02 22:19:20 +01:00
libunwind Revert "Enable -funwind-tables flag when building libunwind" 2019-12-04 09:29:15 +02:00
lld [ELF][AArch64] Support R_AARCH64_{CALL26,JUMP26} range extension thunks with addends 2019-12-02 10:07:24 -08:00
lldb [lldb/Reproducers] Override capture with LLDB_CAPTURE_REPRODUCER env var 2019-12-04 16:49:11 -08:00
llgo
llvm Revert "Reland [AArch64][MachineOutliner] Return address signing for outlined functions" 2019-12-04 16:31:10 -08:00
openmp [libomptarget] Build a minimal deviceRTL for amdgcn 2019-12-04 16:43:37 +00:00
parallel-libs
polly Add missing includes needed to prune LLVMContext.h include, NFC 2019-11-14 15:23:15 -08:00
pstl [pstl] Allow customizing whether per-TU insulation is provided 2019-08-13 12:49:00 +00:00
.arcconfig
.clang-format
.clang-tidy
.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 Add contributing info to CONTRIBUTING.md and README.md 2019-12-02 15:47:15 +00:00

The LLVM Compiler Infrastructure

This directory and its subdirectories contain source code for LLVM, a toolkit for the construction of highly optimized compilers, optimizers, and runtime 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 workflow and configuration to get and build the LLVM source:

  1. Checkout LLVM (including related subprojects 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 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 subprojects 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 pathname 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).

    • Run your build tool of choice!

      • 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 build 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 make -j NNN (NNN is the number of parallel jobs, use e.g. 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.