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| author | xuhaibing <hxu@openailab.com> | 2017-09-24 23:34:43 +0800 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-09-24 23:34:43 +0800 |
| commit | c53256f290761ea30f100f47642fc87fd77c31e0 (patch) | |
| tree | 653696ed68ef3751f0066b15bddb22fce648227e | |
| parent | ed85390adff443080a2d05d4690922a170d6c69f (diff) | |
| download | caffeonacl-c53256f290761ea30f100f47642fc87fd77c31e0.tar.gz caffeonacl-c53256f290761ea30f100f47642fc87fd77c31e0.tar.bz2 caffeonacl-c53256f290761ea30f100f47642fc87fd77c31e0.zip | |
Update release_notes.md
| -rw-r--r-- | acl_openailab/release_notes.md | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/acl_openailab/release_notes.md b/acl_openailab/release_notes.md index b1ce0329..526b2f8b 100644 --- a/acl_openailab/release_notes.md +++ b/acl_openailab/release_notes.md @@ -1,4 +1,4 @@ -# 1. CaffeOnACL
+# CaffeOnACL
[](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.
@@ -8,12 +8,12 @@ The release version is 0.3.0, is based on [Rockchip RK3399](http://www.rock-chip * 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 Documents
+### 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)
-## 1.2 Arm Compute Library 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
@@ -23,10 +23,10 @@ There are some compatibility issues between ACL and Caffe Layers, we bypass it t Performance need be fine turned in the future
-# 2 Release History
+# Release History
The Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).
-## 2.1 CaffeOnACL Version 0.3.0 - Aug 26, 2017
+### Version 0.3.0 - Aug 26, 2017
Support Arm Compute Library version 17.06 with 4 new layers added
* Batch Normalization Layer
@@ -35,14 +35,14 @@ Support Arm Compute Library version 17.06 with 4 new layers added * Concatenate layer
-## 2.2 CaffeOnACL Version 0.2.0 - Jul 2, 2017
+### 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.
-## 2.3 CaffeOnACL Version 0.1.0 - Jun 2, 2017
+### Version 0.1.0 - Jun 2, 2017
Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 :
|