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# 1. Release Note
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# 1. Release Note
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[![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
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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.
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- Hardware platform : Rockchip RK3399. See also [RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
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- Software platform : Ubuntu 16.04
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## 1.2 Installation (Quick User Guide)
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Please refer to [Installation](installation.md) for details
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* Installation Guide : Refer to [Installation](installation.md)
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* User Manual : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)
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* Performance Report : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)
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## 1.3 User Manual
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Please refer to [Performance Report](performance_report.pdf) for details
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## 1.4 Performance Report
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Please refer to [Performance Report](performance_report.pdf) for details
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## 1.5 Arm Compute Library Compatibility Issues :
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## 1.2 Arm Compute Library Compatibility Issues :
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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
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* Normalization in-channel issue

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