3eaa53e805
Relative to the original commit, this fixes some warnings, and is based on the deletion of the IRBuilder copy constructor in D74693. The automatic copy constructor would no longer be safe. ----- Related llvm-dev thread: http://lists.llvm.org/pipermail/llvm-dev/2020-February/138951.html This patch moves the IRBuilder from templating over the constant folder and inserter towards making both of these virtual. There are a couple of motivations for this: 1. It's not possible to share code between use-sites that use different IRBuilder folders/inserters (short of templating the code and moving it into headers). 2. Methods currently defined on IRBuilderBase (which is not templated) do not use the custom inserter, resulting in subtle bugs (e.g. incorrect InstCombine worklist management). It would be possible to move those into the templated IRBuilder, but... 3. The vast majority of the IRBuilder implementation has to live in the header, because it depends on the template arguments. 4. We have many unnecessary dependencies on IRBuilder.h, because it is not easy to forward-declare. (Significant parts of the backend depend on it via TargetLowering.h, for example.) This patch addresses the issue by making the following changes: * IRBuilderDefaultInserter::InsertHelper becomes virtual. IRBuilderBase accepts a reference to it. * IRBuilderFolder is introduced as a virtual base class. It is implemented by ConstantFolder (default), NoFolder and TargetFolder. IRBuilderBase has a reference to this as well. * All the logic is moved from IRBuilder to IRBuilderBase. This means that methods can in the future replace their IRBuilder<> & uses (or other specific IRBuilder types) with IRBuilderBase & and thus be usable with different IRBuilders. * The IRBuilder class is now a thin wrapper around IRBuilderBase. Essentially it only stores the folder and inserter and takes care of constructing the base builder. What this patch doesn't do, but should be simple followups after this change: * Fixing use of the inserter for creation methods originally defined on IRBuilderBase. * Replacing IRBuilder<> uses in arguments with IRBuilderBase, where useful. * Moving code from the IRBuilder header to the source file. From the user perspective, these changes should be mostly transparent: The only thing that consumers using a custom inserted may need to do is inherit from IRBuilderDefaultInserter publicly and mark their InsertHelper as public. Differential Revision: https://reviews.llvm.org/D73835 |
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clang | ||
clang-tools-extra | ||
compiler-rt | ||
debuginfo-tests | ||
libc | ||
libclc | ||
libcxx | ||
libcxxabi | ||
libunwind | ||
lld | ||
lldb | ||
llvm | ||
mlir | ||
openmp | ||
parallel-libs | ||
polly | ||
pstl | ||
.arcconfig | ||
.clang-format | ||
.clang-tidy | ||
.git-blame-ignore-revs | ||
.gitignore | ||
CONTRIBUTING.md | ||
README.md |
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:
-
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
-
-
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
ormake
) 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
, whereNNN
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.