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Martin Waitz 72df59d590 [mlir] resolve types from attributes in assemblyFormat
An operation can specify that an operation or result type matches the
type of another operation, result, or attribute via the `AllTypesMatch`
or `TypesMatchWith` constraints.

Use these constraints to also automatically resolve types in the
automatically generated assembly parser.
This way, only the attribute needs to be listed in `assemblyFormat`,
e.g. for constant operations.

Reviewed By: rriddle

Differential Revision: https://reviews.llvm.org/D78434
2020-07-07 04:40:01 +00:00
clang [X86-64] Support Intel AMX Intrinsic 2020-07-07 10:13:40 +08:00
clang-tools-extra [clangd] More complete fix for hover crashes on invalid record. 2020-07-06 17:12:39 +02:00
compiler-rt [Sanitizer] Fix demangling for Swift symbol names 2020-07-06 12:12:22 -07:00
debuginfo-tests [CMake] Add check-debuginfo-* targets 2020-06-26 11:18:18 -07:00
flang [flang] Add missing include for std::min 2020-07-06 13:03:02 -07:00
libc [libc] Add documentation for clang-tidy checks. 2020-07-06 18:15:35 -07:00
libclc libclc: update website url 2020-05-29 09:18:37 +02:00
libcxx Modifications to the algorithm sort benchmark 2020-07-06 18:30:02 -04:00
libcxxabi [libc++/libc++abi] Automatically detect whether exceptions are enabled 2020-07-03 14:58:09 -04:00
libunwind [runtimes] Rename newformat to just format, now that the old format has been removed 2020-06-30 10:10:30 -04:00
lld [WebAssembly] 64-bit memory limits 2020-07-06 12:40:45 -07:00
lldb Use CMAKE_OSX_SYSROOT instead of the environment variable SYSROOT 2020-07-06 13:17:31 -07:00
llvm [llvm-install-name-tool] Merge install-name options 2020-07-06 20:32:32 -07:00
mlir [mlir] resolve types from attributes in assemblyFormat 2020-07-07 04:40:01 +00:00
openmp [OpenMP] Add GOMP 5.0 loop entry points 2020-07-06 17:22:26 -05:00
parallel-libs [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
polly Reland "[ScalarEvolution] createSCEV(): recognize `udiv`/`urem` disguised as an `sdiv`/`srem`" 2020-07-06 18:00:22 +03:00
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 Use in-tree clang-format-diff.py as Arcanist linter 2020-04-06 12:02:20 -04:00
.arcconfig [arcconfig] Default base to previous revision 2020-02-24 16:20:25 -08:00
.arclint Fix .arclint on Windows 2020-04-28 09:55:48 -07:00
.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 some libc++ revisions to .git-blame-ignore-revs 2020-03-17 17:30:20 -04:00
.gitignore [analyzer] SATest: Add a set of initial projects for testing 2020-06-25 12:28:22 +03:00
CONTRIBUTING.md
README.md Revert 'This is a test commit - ded57e1a06 2020-06-18 01:03:42 +05:30

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.