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| # Caffe | ||
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| [](https://travis-ci.org/BVLC/caffe) | ||
| # CaffeOnACL | ||
| [](LICENSE) | ||
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| 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. | ||
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| 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) | ||
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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). | ||
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| ### 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) | ||
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| ### 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 | ||
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| * Normalization in-channel issue | ||
| * Tanh issue | ||
| * Softmax supporting multi-dimension issue | ||
| * Group issue | ||
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| Performance need be fine turned in the future | ||
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| # Release History | ||
| The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37). | ||
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| 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 | ||
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| - [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 | ||
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| and step-by-step examples. | ||
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| [](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 | ||
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| 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: | ||
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| 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. | ||
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| ## License and Citation | ||
| ### Version 0.1.0 - Jun 2, 2017 | ||
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| Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 : | ||
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| 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 | ||
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| 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 : | ||
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| @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 |
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| Original file line number | Diff line number | Diff line change |
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| # Caffe | ||
|
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||
| [](https://travis-ci.org/BVLC/caffe) | ||
| [](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. | ||
|
|
||
| Check out the [project site](http://caffe.berkeleyvision.org) for all the details like | ||
|
|
||
| - [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) | ||
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| and step-by-step examples. | ||
|
|
||
| [](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) | ||
|
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||
| 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). | ||
|
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||
| Happy brewing! | ||
|
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| ## License and Citation | ||
|
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| 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. | ||
|
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||
| Please cite Caffe in your publications if it helps your research: | ||
|
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||
| @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} | ||
| } |