[python-arrayfire] 120/250: README reorganization and minor typos
Ghislain Vaillant
ghisvail-guest at moszumanska.debian.org
Mon Mar 28 22:59:39 UTC 2016
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ghisvail-guest pushed a commit to branch debian/master
in repository python-arrayfire.
commit 4ab3b821b6a5588bd5e01985aacd250d801a3406
Author: syurkevi <stefan at arrayfire.com>
Date: Mon Sep 14 17:25:00 2015 -0400
README reorganization and minor typos
---
README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 687d00f..612d78b 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
# ArrayFire Python Bindings
-[ArrayFire](https://github.com/arrayfire/arrayfire) is a high performance library for parallel computing wih an easy-to-use API. This project provides Python bindings for the ArrayFire library. It enables the users to write scientific computing code that is portable across CUDA, OpenCL and CPU devices.
+[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 Python bindings for the ArrayFire library.
## Example
@@ -77,7 +77,7 @@ Generate a random matrix a:
Minimum, Maximum: 7.825903594493866e-06 0.7556053400039673
```
-The backend selection is automated currently. Choosing a particular backend will be made available in the future.
+Choosing a particular backend can be done using `af.backend.set( backend_name )` where backend_name can be one of: "_cuda_" or "_opencl_", or "_cpu_". The default device is chosen in the same order of preference.
## Requirements
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