# Arrayfire Rust Bindings
[ArrayFire](https://github.com/arrayfire/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 Rust bindings for the ArrayFire library. The wrapper is currently compliant with ArrayFire 3.2 API. If you find any bugs, please report them [here](https://github.com/arrayfire/arrayfire-rust/issues).
## Documentation
You can find the most recent updated documentation [here](http://arrayfire.github.io/arrayfire-rust/arrayfire/index.html).
## Build
Edit [build.conf](build.conf) to modify the build flags. The structure is a simple JSON blob. Currently Rust does not allow key:value pairs to be passed from the CLI. To use an existing ArrayFire installation modify the first three JSON values. You can install ArrayFire using one of the following two ways.
- [Download and install binaries](https://arrayfire.com/download)
- [Build and install from source](https://github.com/arrayfire/arrayfire)
To build arrayfire submodule available in the rust wrapper, you have to do the following.
```bash
git submodule update --init --recursive
cargo build
```
This is recommended way to build Rust wrapper since the submodule points to the most compatible version of ArrayFire the Rust wrapper has been tested with. You can find the ArrayFire dependencies below.
- [Linux dependencies](http://www.arrayfire.com/docs/using_on_linux.htm)
- [OSX dependencies](http://www.arrayfire.com/docs/using_on_osx.htm)
Operating System Support: Currently, only Linux and OSX. With Rust 1.4(MSVC binary), we soon expect to get the Windows support available.
## Example
```rust
let num_rows: u64 = 5;
let num_cols: u64 = 3;
let dims = Dim4::new(&[num_rows, num_cols, 1, 1]);
println!("Create a 5-by-3 matrix of random floats on the GPU");
let a = match randu(dims, Aftype::F32) {
Ok(value) => value,
Err(error) => panic!("{}", error),
};
print(&a);
```
### Sample output
```bash
~/p/arrayfire_rust> cargo run --example helloworld
...
running 1 test
ArrayFire v3.2.0 (CUDA, 64-bit Mac OSX, build d8d4b38)
Platform: CUDA Toolkit 7, Driver: CUDA Driver Version: 7000
[0] GeForce GT 750M, 2048 MB, CUDA Compute 3.0
Create a 5-by-3 matrix of random floats on the GPU
[5 3 1 1]
0.7402 0.4464 0.7762
0.9210 0.6673 0.2948
0.0390 0.1099 0.7140
0.9690 0.4702 0.3585
0.9251 0.5132 0.6814
...
```
## Issues
You might see something along the lines of :
```bash
dyld: Library not loaded: @rpath/libafopencl.3.dylib
```
You need to add the location of libaf.{dylib, so, dll} to your LD_LIBRARY_PATH.
## Note
This is a work in progress and is not intended for production use.
## Acknowledgements
The ArrayFire library is written by developers at [ArrayFire](http://arrayfire.com) LLC
with [contributions from several individuals](https://github.com/arrayfire/arrayfire_python/graphs/contributors).
The developers at ArrayFire LLC have received partial financial support
from several grants and institutions. Those that wish to receive public
acknowledgement are listed below:
### Grants
This material is based upon work supported by the DARPA SBIR Program Office
under Contract Numbers W31P4Q-14-C-0012 and W31P4Q-15-C-0008.
Any opinions, findings and conclusions or recommendations expressed in this
material are those of the author(s) and do not necessarily reflect the views of
the DARPA SBIR Program Office.