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authorxuhaibing <hxu@openailab.com>2017-09-24 14:25:37 (GMT)
committerGitHub <noreply@github.com>2017-09-24 14:25:37 (GMT)
commit54f00a4099ff6f0f0aaa43d7414b8db870268703 (patch)
treee7e80f1cb86d74de5bf8a777e0b33db939e66c8e
parent33ff5e805485d64fb3fd11c20541502477b9b9fc (diff)
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Update release_notes.md
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-
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# Release Note
[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
@@ -7,15 +7,16 @@ CaffeOnACL is a project to use Arm Compute Library (NEON+GPU) to speed up caffe
The release version is 0.3.0. You can download the source code from [OAID/CaffeOnACL](https://github.com/OAID/CaffeOnACL)
* The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies. See also [Arm Compute Library](https://github.com/ARM-software/ComputeLibrary)
+* Caffe is a fast open framework for deep learning ([Caffe](https://github.com/BVLC/caffe))
## Verified Platform :
The release is verified on ARMv8 processor
-- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
+- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html))
- Software platform : Ubuntu 16.04<br>
-## ACL Compatibility Issues :
+## Arm Compute Library Compatibility Issues :
There are some compatibility issues between ACL and Caffe Layers, we bypass it to Caffe's original layer class as the workaround solution for the below issues
* Normalization in-channel issue