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| author | xuhaibing <hxu@openailab.com> | 2017-09-24 23:06:15 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-09-24 23:06:15 +0800 |
| commit | 2ff7ab3423bf3e4e7e33a78628db02dd0327eb8d (patch) | |
| tree | 48f438f1df8e6d7fb0137ba5386224783af60be3 | |
| parent | 74941ed5b5c9387deadd4c656db7d8f77b324044 (diff) | |
| download | caffeonacl-2ff7ab3423bf3e4e7e33a78628db02dd0327eb8d.tar.gz caffeonacl-2ff7ab3423bf3e4e7e33a78628db02dd0327eb8d.tar.bz2 caffeonacl-2ff7ab3423bf3e4e7e33a78628db02dd0327eb8d.zip | |
Update release_notes.md
| -rw-r--r-- | acl_openailab/release_notes.md | 16 |
1 files changed, 5 insertions, 11 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index 33fed6d7..cd5af8b4 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -1,4 +1,4 @@ - # 1. 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.
@@ -12,17 +12,11 @@ The release version is 0.3.0, is based on Rockchip RK3399 Platform, target OS is - Hardware platform : Rockchip RK3399. See also [RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
- Software platform : Ubuntu 16.04
-## 1.2 Installation (Quick User Guide)
-Please refer to [Installation](installation.md) for details
+* Installation Guide : Refer to [Installation](installation.md)
+* User Manual : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/user_manual.pdf)
+* Performance Report : Refer to [Performance Report](https://github.com/OAID/CaffeOnACL/blob/master/acl_openailab/performance_report.pdf)
-## 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 :
+## 1.2 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
|