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authorxuhaibing <hxu@openailab.com>2017-10-11 15:23:12 (GMT)
committerxuhaibing <hxu@openailab.com>2017-10-11 15:23:12 (GMT)
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-# CaffeOnACL
-[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
-
-CaffeOnACL is a project that is maintained by **OPEN** AI LAB, it uses Arm Compute Library (NEON+GPU) to speed up [Caffe](http://caffe.berkeleyvision.org/) and provide utilities to debug, profile and tune application performance.
-
-The release version is 0.3.0, is based on [Rockchip RK3399](http://www.rock-chips.com/plus/3399.html) Platform, target OS is Ubuntu 16.04. 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. See also [Caffe](https://github.com/BVLC/caffe).
-
-### Documents
-* [Installation instructions](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/installation.md)
-* [User Manuals PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)
-* [Performance Report PDF](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)
-
-### 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
-* Tanh issue
-* Softmax supporting multi-dimension issue
-* Group issue
-
-Performance need be fine turned in the future
-
-# Release History
-The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).
-
-### Version 0.3.0 - Aug 26, 2017
-Support Arm Compute Library version 17.06 with 4 new layers added
-
-* Batch Normalization Layer
-* Direct convolution Layer
-* Locally Connect Layer
-* Concatenate layer
-
-
-### Version 0.2.0 - Jul 2, 2017
-
-Fix the issues:
-
-* Compatible with Arm Compute Library version 17.06
-* When OpenCL initialization fails, even if Caffe uses CPU-mode,it doesn't work properly.
-
-### Version 0.1.0 - Jun 2, 2017
-
- Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 :
-
-* Convolution Layer
-* Pooling Layer
-* LRN Layer
-* ReLU Layer
-* Sigmoid Layer
-* Softmax Layer
-* TanH Layer
-* AbsVal Layer
-* BNLL Layer
-* InnerProduct Layer
-
-# Issue Report
-Encounter any issue, please report on [issue report](https://github.com/OAID/CaffeOnACL/issues). Issue report should contain the following information :
-
-* The exact description of the steps that are needed to reproduce the issue
-* The exact description of what happens and what you think is wrong