New API from Upstream Release 3.7.0

.github/workflows/ci.yml

@@ -13,7 +13,7 @@ jobs:
         name: Build and Test Wrapper
         runs-on: ubuntu-18.04
         env:
-            AF_VER: 3.6.4
+            AF_VER: 3.7.0
         steps:
             - name: Checkout Repository
               uses: actions/checkout@master

Cargo.toml

@@ -2,7 +2,7 @@
 edition       = "2018"
 name          = "arrayfire"
 description   = "ArrayFire is a high performance software library for parallel computing with an easy-to-use API. Its array based function set makes parallel programming simple. ArrayFire's multiple backends (CUDA, OpenCL and native CPU) make it platform independent and highly portable. A few lines of code in ArrayFire can replace dozens of lines of parallel computing code, saving you valuable time and lowering development costs. This crate provides Rust bindings for ArrayFire library."
-version       = "3.6.3"
+version       = "3.7.0"
 documentation = "http://arrayfire.github.io/arrayfire-rust/arrayfire/index.html"
 homepage      = "https://github.com/arrayfire/arrayfire"
 repository    = "https://github.com/arrayfire/arrayfire-rust"
@@ -27,22 +27,25 @@ indexing = []
 graphics = []
 image = []
 lapack = []
+machine_learning = []
 macros = []
 random = []
 signal = []
 sparse = []
 statistics = []
 vision = []
 default = ["algorithm", "arithmetic", "blas", "data", "indexing", "graphics", "image", "lapack",
-"macros", "random", "signal", "sparse", "statistics", "vision"]
+"machine_learning", "macros", "random", "signal", "sparse", "statistics", "vision"]
 
 [dependencies]
 libc = "0.2"
 num  = "0.2"
 lazy_static = "1.0"
+half = "1.5.0"
 
 [dev-dependencies]
 float-cmp = "0.6.0"
+half = "1.5.0"
 
 [build-dependencies]
 serde_json = "1.0"
@@ -85,3 +88,7 @@ path = "examples/conway.rs"
 [[example]]
 name = "fft"
 path = "examples/fft.rs"
+
+[[example]]
+name = "using_half"
+path = "examples/using_half.rs"

examples/conway.rs

@@ -7,7 +7,7 @@ fn main() {
 }
 
 fn normalise(a: &Array<f32>) -> Array<f32> {
-    (a / (max_all(&abs(a)).0 as f32))
+    a / (max_all(&abs(a)).0 as f32)
 }
 
 fn conways_game_of_life() {

examples/using_half.rs

@@ -0,0 +1,15 @@
+use arrayfire::*;
+use half::f16;
+
+fn main() {
+    set_device(0);
+    info();
+
+    let values: Vec<_> = (1u8..101).map(f32::from).collect();
+
+    let half_values = values.iter().map(|&x| f16::from_f32(x)).collect::<Vec<_>>();
+
+    let hvals = Array::new(&half_values, Dim4::new(&[10, 10, 1, 1]));
+
+    print(&hvals);
+}

scripts/generate_documentation.sh

@@ -2,6 +2,6 @@
 
 # this script meant to be run from the root of arrayfire-rust
 
-cargo rustdoc -- --html-in-header ./scripts/mathjax.script
+cargo rustdoc -p arrayfire -- --html-in-header ./scripts/mathjax.script
 
 mdbook build tutorials-book && cp -r tutorials-book/book ./target/doc/arrayfire/

scripts/mathjax.script

@@ -1,3 +1,12 @@
+<script type="text/x-mathjax-config">
+  MathJax.Hub.Config({
+    tex2jax: {
+      inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+      processEscapes: true
+    }
+  });
+</script>
+
 <script type="text/javascript" async
   src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.4/MathJax.js?config=TeX-MML-AM_CHTML">
 </script>