f6d9e5926b
Add an option (--enable-experimental-jit for configure-based builds or --experimental-jit for PCbuild-based ones) to build an *experimental* just-in-time compiler, based on copy-and-patch (https://fredrikbk.com/publications/copy-and-patch.pdf). See Tools/jit/README.md for more information on how to install the required build-time tooling. |
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| .. | ||
| _llvm.py | ||
| _schema.py | ||
| _stencils.py | ||
| _targets.py | ||
| _writer.py | ||
| build.py | ||
| mypy.ini | ||
| README.md | ||
| template.c | ||
The JIT Compiler
This version of CPython can be built with an experimental just-in-time compiler. While most everything you already know about building and using CPython is unchanged, you will probably need to install a compatible version of LLVM first.
Installing LLVM
The JIT compiler does not require end users to install any third-party dependencies, but part of it must be built using LLVM1. You are not required to build the rest of CPython using LLVM, or even the same version of LLVM (in fact, this is uncommon).
LLVM version 16 is required. Both clang and llvm-readobj need to be installed and discoverable (version suffixes, like clang-16, are okay). It's highly recommended that you also have llvm-objdump available, since this allows the build script to dump human-readable assembly for the generated code.
It's easy to install all of the required tools:
Linux
Install LLVM 16 on Ubuntu/Debian:
wget https://apt.llvm.org/llvm.sh
chmod +x llvm.sh
sudo ./llvm.sh 16
macOS
Install LLVM 16 with Homebrew:
brew install llvm@16
Homebrew won't add any of the tools to your $PATH. That's okay; the build script knows how to find them.
Windows
Install LLVM 16 by searching for it on LLVM's GitHub releases page, clicking on "Assets", downloading the appropriate Windows installer for your platform (likely the file ending with -win64.exe), and running it. When installing, be sure to select the option labeled "Add LLVM to the system PATH".
Building
For PCbuild-based builds, pass the new --experimental-jit option to build.bat.
For all other builds, pass the new --enable-experimental-jit option to configure.
Otherwise, just configure and build as you normally would. Cross-compiling "just works", since the JIT is built for the host platform.
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Clang is specifically needed because it's the only C compiler with support for guaranteed tail calls (
musttail), which are required by CPython's continuation-passing-style approach to JIT compilation. Since LLVM also includes other functionalities we need (namely, object file parsing and disassembly), it's convenient to only support one toolchain at this time. ↩︎