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authorxuhaibing <hxu@openailab.com>2017-09-24 15:09:47 (GMT)
committerGitHub <noreply@github.com>2017-09-24 15:09:47 (GMT)
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* 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. See also [Caffe](https://github.com/BVLC/caffe).
-## 1.1 Verified Platform :
+## 1.1 CaffeOnACL :
- Hardware platform : Rockchip RK3399. See also [RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
- Software platform : Ubuntu 16.04
-* Installation Guide : Refer to [Installation](installation.md)
-* User Manual : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)
-* Performance Report : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)
+- Installation Guide : Refer to [Installation](installation.md)
+- User Manual : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)
+- Performance Report : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)
## 1.2 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