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| author | xuhaibing <hxu@openailab.com> | 2017-09-24 22:25:37 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-09-24 22:25:37 +0800 |
| commit | 54f00a4099ff6f0f0aaa43d7414b8db870268703 (patch) | |
| tree | e7e80f1cb86d74de5bf8a777e0b33db939e66c8e /acl_openailab/release_notes.md | |
| parent | 33ff5e805485d64fb3fd11c20541502477b9b9fc (diff) | |
| download | caffeonacl-54f00a4099ff6f0f0aaa43d7414b8db870268703.tar.gz caffeonacl-54f00a4099ff6f0f0aaa43d7414b8db870268703.tar.bz2 caffeonacl-54f00a4099ff6f0f0aaa43d7414b8db870268703.zip | |
Update release_notes.md
Diffstat (limited to 'acl_openailab/release_notes.md')
| -rw-r--r-- | acl_openailab/release_notes.md | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index cdcf7ae6..9ba439b6 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -1,4 +1,4 @@ -
+)
# Release Note
[](LICENSE)
@@ -7,15 +7,16 @@ CaffeOnACL is a project to use Arm Compute Library (NEON+GPU) to speed up caffe The release version is 0.3.0. You 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 ([Caffe](https://github.com/BVLC/caffe))
## Verified Platform :
The release is verified on ARMv8 processor
-- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html)
+- Hardware platform : Rockchip RK3399 ([RK3399 SoC](http://www.rock-chips.com/plus/3399.html))
- Software platform : Ubuntu 16.04<br>
-## ACL Compatibility Issues :
+## 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
|