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author | xuhaibing <hxu@openailab.com> | 2017-09-24 23:09:47 +0800 |
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committer | GitHub <noreply@github.com> | 2017-09-24 23:09:47 +0800 |
commit | 0ac9c463b098dcd36a89ea42d61c51aebaf05ea0 (patch) | |
tree | 74e2e24ba92a7703a4be5326d46f11c47b8a16ff | |
parent | 2ff7ab3423bf3e4e7e33a78628db02dd0327eb8d (diff) | |
download | caffeonacl-0ac9c463b098dcd36a89ea42d61c51aebaf05ea0.tar.gz caffeonacl-0ac9c463b098dcd36a89ea42d61c51aebaf05ea0.tar.bz2 caffeonacl-0ac9c463b098dcd36a89ea42d61c51aebaf05ea0.zip |
Update release_notes.md
-rw-r--r-- | acl_openailab/release_notes.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index cd5af8b4..7d496b5f 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -8,13 +8,13 @@ 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).
-## 1.1 Verified Platform :
+## 1.1 CaffeOnACL :
- Hardware platform : Rockchip RK3399. See also [RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
- Software platform : Ubuntu 16.04
-* 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)
+- 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)
## 1.2 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
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