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@@ -1,37 +1,64 @@ -# Caffe - -[](https://travis-ci.org/BVLC/caffe) +# CaffeOnACL [](LICENSE) -Caffe is a deep learning framework made with expression, speed, and modularity in mind. -It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) and community contributors. +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). -Check out the [project site](http://caffe.berkeleyvision.org) for all the details like +### Version 0.3.0 - Aug 26, 2017 +Support Arm Compute Library version 17.06 with 4 new layers added -- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p) -- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/) -- [BVLC reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo) -- [Installation instructions](http://caffe.berkeleyvision.org/installation.html) +* Batch Normalization Layer +* Direct convolution Layer +* Locally Connect Layer +* Concatenate layer -and step-by-step examples. -[](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) +### Version 0.2.0 - Jul 2, 2017 -Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models. -Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues). +Fix the issues: -Happy brewing! +* Compatible with Arm Compute Library version 17.06 +* When OpenCL initialization fails, even if Caffe uses CPU-mode,it doesn't work properly. -## License and Citation +### Version 0.1.0 - Jun 2, 2017 + + Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 : -Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE). -The BVLC reference models are released for unrestricted use. +* Convolution Layer +* Pooling Layer +* LRN Layer +* ReLU Layer +* Sigmoid Layer +* Softmax Layer +* TanH Layer +* AbsVal Layer +* BNLL Layer +* InnerProduct Layer -Please cite Caffe in your publications if it helps your research: +# 3 Issue Report +Encounter any issue, please report on [issue report](https://github.com/OAID/CaffeOnACL/issues). Issue report should contain the following information : - @article{jia2014caffe, - Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor}, - Journal = {arXiv preprint arXiv:1408.5093}, - Title = {Caffe: Convolutional Architecture for Fast Feature Embedding}, - Year = {2014} - } +* 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 |