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Saiyedul Islam 98380762c3 [clang-offload-bundler] Make Bundle Entry ID backward compatible
Earlier BundleEntryID used to be <OffloadKind>-<Triple>-<GPUArch>.
This used to work because the clang-offload-bundler didn't need
GPUArch explicitly for any bundling/unbundling action. With
unbundleArchive it needs GPUArch to ensure compatibility between
device specific code objects. D93525 enforced triples to have
separators for all 4 components irrespective of number of
components, like "amdgcn-amd-amdhsa--". It was required to
to correctly parse a possible 4th environment component or a GPU.
But, this condition is breaking backward compatibility with
archive libraries compiled with compilers older than D93525.

This patch allows triples to have any number of components with
and without extra separator for empty environment field. Thus,
both the following bundle entry IDs are same:
openmp-amdgcn-amd-amdhsa--gfx906
openmp-amdgcn-amd-amdhsa-gfx906

Reviewed By: yaxunl, grokos

Differential Revision: https://reviews.llvm.org/D106809
2021-09-08 16:06:12 +05:30
.github
clang [clang-offload-bundler] Make Bundle Entry ID backward compatible 2021-09-08 16:06:12 +05:30
clang-tools-extra [clang-tidy] bugprone-infinite-loop: Fix false positives with volatile addresses. 2021-09-07 15:10:46 -07:00
compiler-rt Greedy set cover implementation of Merger::Merge 2021-09-07 09:42:38 -07:00
cross-project-tests
flang [flang] Implement semantic checks for ELEMENTAL subprograms 2021-09-07 14:37:23 -07:00
libc [libc][NFC] Add fenv and string headers to x86_64 headers list. 2021-09-07 21:06:39 +00:00
libclc libclc: Fix rounding during type conversion 2021-08-19 22:24:19 -07:00
libcxx [libcxx] [test] Simplify get_temp_file_name() for mingw 2021-09-08 10:24:34 +03:00
libcxxabi [libc++abi] Remove workarounds for missing -Wno-exceptions on older GCCs 2021-09-03 14:23:28 -04:00
libunwind [Unwind] Cast exception class pointer for strcpy 2021-09-02 19:01:30 +02:00
lld [ELF] Infer EM_HEXAGON in getBitcodeMachineKind 2021-09-07 20:46:37 -07:00
lldb [lldb] Support "eflags" register name in generic reg fallback 2021-09-08 11:33:29 +02:00
llvm [MemCpyOpt] Fix a variety of scalable-type crashes 2021-09-08 11:21:36 +01:00
mlir [mlir][sparse] fix typos 2021-09-07 14:20:05 -07:00
openmp [OpenMP][libomptarget][NFC] Change checkDeviceAndCtors return type to bool. 2021-09-07 13:59:27 -05:00
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 [Bazel] Add missing dependency after 650bbc5620 2021-09-05 21:14:05 +02:00
.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.