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| author | xuhaibing <hxu@openailab.com> | 2017-09-24 22:50:43 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-09-24 22:50:43 +0800 |
| commit | 485eec2a473e0a1804f59f6254f28a591197878e (patch) | |
| tree | c5205f7a3dc9544478bf07ac8acda791e433099f | |
| parent | 3ee3bfebce7f02feabe9da19b97f609c39b25ee4 (diff) | |
| download | caffeonacl-485eec2a473e0a1804f59f6254f28a591197878e.tar.gz caffeonacl-485eec2a473e0a1804f59f6254f28a591197878e.tar.bz2 caffeonacl-485eec2a473e0a1804f59f6254f28a591197878e.zip | |
Update release_notes.md
| -rw-r--r-- | acl_openailab/release_notes.md | 29 |
1 files changed, 15 insertions, 14 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index 4195b657..8c8afc70 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -1,6 +1,4 @@ -
-
-# Release Note
+# 1. Release Note
[](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.
@@ -10,17 +8,20 @@ The release version is 0.3.0, is based on Rockchip RK3399 Platform, target OS is * 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).
-## Verified Platform :
-
-Verified on ARMv8 processor.
-
+## 1.1 Verified Platform :
- Hardware platform : Rockchip RK3399. See also [RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
- Software platform : Ubuntu 16.04
-## Installation
+## 1.2 Installation (Quick User Guide)
Please refer to [Installation](installation.md) for details
-## Arm Compute Library Compatibility Issues :
+## 1.3 User Manual
+Please refer to [Performance Report](performance_report.pdf) for details
+
+## 1.4 Performance Report
+Please refer to [Performance Report](performance_report.pdf) for details
+
+## 1.5 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
@@ -30,18 +31,18 @@ There are some compatibility issues between ACL and Caffe Layers, we bypass it t Performance need be fine turned in the future
-# Issue Report
+# 2 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
-## Release History
+# 3 Release History
The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).
-## CaffeOnACL Version 0.3.0 - Aug 26, 2017
+## 3.1 CaffeOnACL Version 0.3.0 - Aug 26, 2017
Support Arm Compute Library version 17.06 with 4 new layers added
@@ -51,7 +52,7 @@ Support Arm Compute Library version 17.06 with 4 new layers added * Concatenate layer
-## CaffeOnACL Version 0.2.0 - Jul 2, 2017
+## 3.2 CaffeOnACL Version 0.2.0 - Jul 2, 2017
Fix the issues:
@@ -60,7 +61,7 @@ Fix the issues: -## CaffeOnACL Version 0.1.0 - Jun 2, 2017
+## 3.3 CaffeOnACL Version 0.1.0 - Jun 2, 2017
Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 :
|