From c6fa1d4a168d3a34ca1bc256a01b8d0d4dc15946 Mon Sep 17 00:00:00 2001 From: xuhaibing Date: Sun, 24 Sep 2017 23:43:11 +0800 Subject: change readme.md --- acl_openailab/README.md | 81 +++++++++++++++++++++++++++++++++--------- acl_openailab/release_notes.md | 64 --------------------------------- 2 files changed, 64 insertions(+), 81 deletions(-) delete mode 100644 acl_openailab/release_notes.md diff --git a/acl_openailab/README.md b/acl_openailab/README.md index f399f17f..526b2f8b 100644 --- a/acl_openailab/README.md +++ b/acl_openailab/README.md @@ -1,17 +1,64 @@ -OPEN AI LAB - -The **Arm Compute Library** is a collection of low-level software functions optimized for Arm Cortex CPU and Arm Mali GPU architectures, targeted at a variety of use-cases including: **image processing**, **computer vision and machine learning**. [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) - -**OPEN** AI LAB ported the [Caffe](http://caffe.berkeleyvision.org/) to support Arm Compute Library on Rockchip RK3399. The target OS is Ubuntu 16.04. [![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE) - -# 1. Release Notes -Please refer to [Release Notes](release_notes.md) for details - -# 2. Installation -Please refer to [Installation](installation.md) for details - -# 3. Performance Report -Please refer to [Performance Report](performance_report.pdf) for details - -# 4. User Manual -Please refer to [User Manual](user_manual.pdf) for details +# 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 + +# 3 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 diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md deleted file mode 100644 index 526b2f8b..00000000 --- a/acl_openailab/release_notes.md +++ /dev/null @@ -1,64 +0,0 @@ -# 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 - -# 3 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 -- cgit v1.2.3