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Matt Arsenault 618fa77ae4 AMDGPU/GlobalISel: Select V_ADD3_U32/V_XOR3_B32
The other 3-op patterns should also be theoretically handled, but
currently there's a bug in the inferred pattern complexity.

I'm not sure what the error handling strategy should be for potential
constant bus violations. I think the correct strategy is to never
produce mixed SGPR and VGPR operands in a typical VOP instruction,
which will trivially avoid them. However, it's possible to still have
hand written MIR (or erroneously transformed code) with these
operands. When these fold, the restriction will be violated. We
currently don't have any verifiers for reg bank legality. For now,
just ignore the restriction.

It might be worth triggering a DAG fallback on verifier error.
2020-01-23 12:04:20 -05:00
clang clang-cl: Parse /QIntel-jcc-erratum 2020-01-23 18:00:38 +01:00
clang-tools-extra Extend misc-misplaced-const to detect using declarations as well as typedef 2020-01-22 15:26:11 -05:00
compiler-rt [libFuzzer] Add INFO output when LLVMFuzzerCustomMutator is found. 2020-01-22 12:56:16 -08:00
debuginfo-tests Add test for GDB pretty printers. 2020-01-11 09:17:15 +01:00
libc [libc] Replace the use of gtest with a new light weight unittest framework. 2020-01-17 16:24:53 -08:00
libclc libclc: Drop the old python based build system 2019-11-08 09:59:40 -05:00
libcxx [libcxx] [test] Don't assert that moved-from containers with non-POCMA allocators are empty. 2020-01-22 21:15:16 -08:00
libcxxabi [libcxxabi] NFC: Fix trivial typos in comments 2020-01-22 11:36:31 +08:00
libunwind Bump the trunk major version to 11 2020-01-15 13:38:01 +01:00
lld [LLD] [COFF] Silence a GCC warning about an unused variable. NFC. 2020-01-23 13:23:56 +02:00
lldb [lldb][NFC] Delete empty file source/Host/linux/ProcessLauncherLinux.cpp 2020-01-23 10:37:59 +01:00
llgo IR: Support parsing numeric block ids, and emit them in textual output. 2019-03-22 18:27:13 +00:00
llvm AMDGPU/GlobalISel: Select V_ADD3_U32/V_XOR3_B32 2020-01-23 12:04:20 -05:00
mlir Revert "[mlir] Add baseAttr to TypedArrayAttrBase." 2020-01-23 14:47:11 +01:00
openmp [OpenMP] change omp_atk_* and omp_atv_* enumerators to lowercase [NFC] 2020-01-23 11:15:44 -05:00
parallel-libs Fix typos throughout the license files that somehow I and my reviewers 2019-01-21 09:52:34 +00:00
polly [Alignment][NFC] Use Align with CreateAlignedStore 2020-01-23 17:34:32 +01:00
pstl Bump the trunk major version to 11 2020-01-15 13:38:01 +01:00
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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

README.md

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.