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MaheshRavishankar 755c050200 [mlir][Linalg] Fix load/store operations generated while lower loops when
output has zero rank.

While lowering to loops, no indices should be used in the load/store
operation if the buffer is zero-rank.

Differential Revision: https://reviews.llvm.org/D75391
2020-03-04 17:04:30 -08:00
clang [OPENMP50]Codegen for 'destroy' clause in depobj directive. 2020-03-04 16:30:34 -05:00
clang-tools-extra [clangd] Track document versions, include them with diags, enhance logs 2020-03-05 01:22:32 +01:00
compiler-rt [scudo][standalone] Do not fill 32b regions at once 2020-03-04 14:22:24 -08:00
debuginfo-tests [debuginfo-tests][dexter] Add --builder gcc support for POSIX 2020-03-03 16:42:24 +00:00
libc [libc] Add `errno_h` as a dependency to `sigaddset` and `sigemptyset`. 2020-03-02 23:46:30 -08:00
libclc libclc: cmake configure should depend on file list 2020-02-25 04:43:14 -05:00
libcxx [libc++] Mark deprecation test as UNSUPPORTED on Clang 6 2020-03-04 19:32:40 -05:00
libcxxabi [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
libunwind Revert "Promote nameless lambda used by dl_iterate_phdr to named function to clean up control flow inside findUnwindSections. Also, expose the data structure" 2020-03-04 14:54:24 +00:00
lld [llvm-readelf] Make --all output order closer to GNU readelf 2020-03-04 12:22:12 -08:00
lldb [lldb][NFC] Use C++11 for loop in ClangASTSource::FindExternalLexicalDecls 2020-03-04 12:57:05 -08:00
llvm [X86] Relax existing instructions to reduce the number of nops needed for alignment purposes 2020-03-04 16:52:35 -08:00
mlir [mlir][Linalg] Fix load/store operations generated while lower loops when 2020-03-04 17:04:30 -08:00
openmp [libomptarget] Implement most hip atomic functions in terms of intrinsics 2020-03-04 17:56:40 +00:00
parallel-libs [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
polly [polly] Don't count scops in a global variable. 2020-02-24 17:12:08 -08:00
pstl [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
.arcconfig [arcconfig] Default base to previous revision 2020-02-24 16:20:25 -08:00
.clang-format
.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.