Skip to main content

lightweight wrapper around basic LLVM functionality

Project description

# llvmlite

A lightweight LLVM python binding for writing JIT compilers

Old [llvmpy](https://github.com/llvmpy/llvmpy) binding exposes a lot of LLVM but the mapping of C++ style memory management to python is error prone. Numba and many JIT compiler does not need a full LLVM API. Only the IR builder, optimizer, and JIT compiler APIs are necessary.

llvmlite is a project originally tailored for Numba's needs, using the following approach:

- A small C wrapper around the parts of the LLVM C++ API we need that are
not already exposed by the LLVM C API.
- A ctypes Python wrapper around the C API.
- A pure Python implementation of the subset of the LLVM IR builder that we
need for Numba.

## Key Benefits

- llvmlite IR builder is pure python
- llvmlite uses LLVM assembly parser which provide better error messages (no more segfault due to bad IR construction)
- Most of llvmlite uses the LLVM C API which is small but very stable and backward compatible (low maintenance when changing LLVM version)
- The binding is not a python C-extension (no need to wrestle with Python's compiler requirement and C++11 compatibility)
- llvmlite binding memory management is explicit obj.close() or with-context
- llvmlite is quite faster in early benchmarks (the Numba test suite is twice faster)

## LLVMPY Compatibility Layer

`llvmlite.llvmpy.*` provides a minimal LLVMPY compatibility layer.

## Dependencies

You need Python 2.6 or greater (including Python 3.3 or greater).

### Build dependencies

- LLVM 3.5
- A C compiler, and possibly other tools (see below)

### Runtime dependencies

- For Python versions before 3.4, the [enum34](https://pypi.python.org/pypi/enum34) package is required

## Build

Run `python setup.py build`. This will build the llvmlite C wrapper, which will contain a statically-linked copy of the required subset of LLVM.

### Unix requirements

You must have a LLVM build (libraries and header files) available somewhere. If it is not installed in a standard location, you may have to tweak the build script. Under Ubuntu, try installing `llvm-3.5-dev`.

### Windows requirements

You must have Visual Studio 2012 or later (the free Express edition is ok). In addition, you must have [cmake](http://www.cmake.org/) installed, and LLVM should have been built using cmake, in Release mode. Be careful to use the right bitness (32- or 64-bit) for your Python installation.

## Run tests

Run `python runtests.py` or `python -m llvmlite.tests`.

## Install

Run `python setup.py install`.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llvmlite-0.2.0.tar.gz (57.9 kB view details)

Uploaded Source

File details

Details for the file llvmlite-0.2.0.tar.gz.

File metadata

  • Download URL: llvmlite-0.2.0.tar.gz
  • Upload date:
  • Size: 57.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for llvmlite-0.2.0.tar.gz
Algorithm Hash digest
SHA256 23ca4e3cd66d858a73e484accb5d5abccc9501e0a37ba8888dd34794fb831c18
MD5 2b42716b0fdce6c69e546e2539c2e36c
BLAKE2b-256 b5fe023d482d853cafe97f81129783f26c14de678a316cbf4a61db54320e6f09

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page