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Jon Chesterfield 718e5a9883 [libomptarget] Set runpath on libomptarget, use that to drop LD_LIBRARY_PATH from test runner
Using rpath instead of LD_LIBRARY_PATH to find libomp.so and
libomptarget.so lets one rerun the already built test executables without
setting environment variables and removes the risk of the test runner picking
up different libraries to the developer debugging the failure.

rpath usually means runpath, which is not transitive, so set runpath on
libomptarget itself so that it can find the plugins located next to it,
spelled $ORIGIN. This provides sufficient functionality to drop D102043

Reviewed By: tianshilei1992

Differential Revision: https://reviews.llvm.org/D109071
2021-09-01 18:47:56 +01:00
.github
clang Ensure field-annotations on pointers properly match the AS of the field. 2021-09-01 06:12:24 -07:00
clang-tools-extra [clang-tidy] Fix documentation typos (NFC) 2021-09-01 08:48:31 -07:00
compiler-rt [DFSan][NFC] Fix comment formatting. 2021-08-31 15:35:08 -07:00
cross-project-tests
flang [flang] Include default component initialization in static initializers 2021-09-01 09:40:37 -07:00
libc [libc][nfc][obvious] fix typos in FPUtil 2021-08-30 22:39:02 +00:00
libclc libclc: Fix rounding during type conversion 2021-08-19 22:24:19 -07:00
libcxx [libc++][format] Add __format_arg_store. 2021-09-01 19:45:02 +02:00
libcxxabi [libc++] Remove some workarounds for unsupported GCC and Clang versions 2021-09-01 10:57:14 -04:00
libunwind [libunwind] Don't include cet.h/immintrin.h unconditionally 2021-08-26 11:37:07 +02:00
lld [LLD][COFF] Clean paths in PDB even when /pdbsourcepath is omitted 2021-08-31 19:05:10 -04:00
lldb [lldb] Add minidump save-core functionality to ELF object files 2021-09-01 15:14:29 +02:00
llvm [IRLinker] Suppress linker warnings when linking with CUDA libdevice. 2021-09-01 10:45:15 -07:00
mlir [mlir][tosa] Small refactor to the functionality of Depthwise_Conv2D to add the bias at the end of the convolution 2021-09-01 10:01:00 -07:00
openmp [libomptarget] Set runpath on libomptarget, use that to drop LD_LIBRARY_PATH from test runner 2021-09-01 18:47:56 +01:00
parallel-libs
polly [Polly] Use subtyped isl::schedule_nodes for ScheduleTreeVisitor. NFC. 2021-08-31 20:54:12 -05:00
pstl [libc++] Remove test-suite annotations for unsupported Clang versions 2021-08-20 15:05:13 -04:00
runtimes
utils [mlir] Add an interface to allow operations to specify how they can be tiled. 2021-08-30 16:31:18 -07:00
.arcconfig
.arclint
.clang-format
.clang-tidy
.git-blame-ignore-revs
.gitignore
.mailmap Simplify a .mailmap entry 2021-08-18 09:16:16 -04:00
CONTRIBUTING.md
README.md
SECURITY.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 convert them 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 cross-project-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.