ArrayFire is a high performance library for parallel computing with an easy-to-use API. It enables users to write scientific computing code that is portable across CUDA, OpenCL and CPU devices. This project provides Lua bindings for the ArrayFire library.
The wrapper is currently compliant with ArrayFire 3.2 API (and higher). If you find any bugs, please report them here.
local AF = require("arrayfire")
AF.main(function()
local x = AF.randu(5, "f32")
AF.print("x", x)
AF.print("min of x", AF.min(x))
AF.print("max of x", AF.max(x))
end)$ lua examples/lua/helloworld/intro.lua
ArrayFire v3.2.1 (CUDA, 64-bit Linux, build f263db0)
Platform: CUDA Toolkit 7.5, Driver: 358.16
[0] GeForce GTX 690, 2047 MB, CUDA Compute 3.0
-1- GeForce GTX 690, 2048 MB, CUDA Compute 3.0
x
[5 1 1 1]
0.7402
0.9210
0.0390
0.9690
0.9251
min of x
[1 1 1 1]
0.0390
max of x
[1 1 1 1]
0.9690
TODO
Currently, tested only Windows with Lua 5.1.
- Progress being made on Linux and OSX with Lua 5.2 and 5.3
You can install ArrayFire using one of the following two ways.
Post Installation Instructions
- Please read the wiki page for setting up the proper environment variables.
If you do not have the pre-installed library, use the source in arrayfire-lua/lua folder for building the libraries.
The following pre-processors need to be set when building lua.
- LUA_BUILD_AS_DLL
- CRT_SECURE_NO_WARNINGS
Use the visual studio project file present in src/Lua/arrayfire to build the library.
Use the cmake file in src/Lua/arrayfire to build the library.
- Ensure
ArrayFire_DIRpoints to/path/to/arrayfire/share/ArrayFire/cmake
$ export LUA_PATH="/path/to/arrayfire-lua/lib/?.lua;;"
$ export LUA_CPATH="/path/to/arrayfire-lua/src/Lua/arrayfire/build/?.so;;"
$ lua helloworld/helloworld.lua
This is a work in progress and is not intended for production use.
This project began with significant contributions from Steven Johnson. It is currently being maintained by @arrayfire/lua-devel team.