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Kamlesh Kumar 7622ea5835 [RISCV64] Emit correct lib call for fp(float/double) to ui/si
Since i32 is not legal in riscv64,
it always promoted to i64 before emitting lib call and
for conversions like float/double to int and float/double to unsigned int
wrong lib call was emitted. This commit fix it using custom lowering.

Differential Revision: https://reviews.llvm.org/D80526
2020-06-18 19:34:16 +05:30
clang [CodeView] Add full repro to LF_BUILDINFO record 2020-06-18 09:17:15 -04:00
clang-tools-extra [clang-tidy] Prune dead code. NFC. 2020-06-17 21:16:59 +02:00
compiler-rt [xray] Option to omit the function index 2020-06-17 13:49:01 -04:00
debuginfo-tests Change filecheck default to dump input on failure 2020-06-09 18:57:46 +00:00
flang [flang] AMAX0, MIN1... rewrite to MAX/MIN: make result conversion explicit 2020-06-18 08:14:58 +02:00
libc [libc][benchmarks] Link the memory benchmark exes to functions from LLVM libc. 2020-06-17 11:42:26 -07:00
libclc libclc: update website url 2020-05-29 09:18:37 +02:00
libcxx Remove the try/catch codepath if `swap` is `noexcept`. 2020-06-16 14:51:22 -07:00
libcxxabi [libc++abi] Ensure custom libc++ header paths are honoured during libc++abi build 2020-06-15 13:22:51 -04:00
libunwind [libunwind][RISCV] Track PC separately from RA 2020-06-13 08:15:40 +01:00
lld [CodeView] Add full repro to LF_BUILDINFO record 2020-06-18 09:17:15 -04:00
lldb Remove code duplication from RegisterContextPOSIX_* 2020-06-18 01:02:46 +05:00
llvm [RISCV64] Emit correct lib call for fp(float/double) to ui/si 2020-06-18 19:34:16 +05:30
mlir [mlir] Add a pass to remove all shape.cstr_ and assuming_ ops. 2020-06-18 13:31:30 +02:00
openmp Revert "[OpenMP][NFC] Added DeviceID and Event pointer to __tgt_async_info" 2020-06-17 15:01:16 -04:00
parallel-libs [arcconfig] Delete subproject arcconfigs 2020-02-24 16:20:36 -08:00
polly [SVE] Eliminate calls to default-false VectorType::get() from polly 2020-05-29 10:04:06 -07:00
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
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.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
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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.