Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.
Caffe-HRT is a project that is maintained by OPEN AI LAB, it uses heterogeneous computing infrastructure framework to speed up Caffe and provide utilities to debug, profile and tune application performance.
The release version is 0.5.0, is based on Rockchip RK3399 Platform, target OS is Ubuntu 16.04. Can download the source code from OAID/Caffe-HRT
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
Performance need be fine turned in the future
The Caffe based version is 793bd96351749cb8df16f1581baf3e7d8036ac37.
Support Arm Compute Library version 17.12
Support Arm Compute Library version 17.10
Support Arm Compute Library version 17.09
Support Arm Compute Library version 17.06 with 4 new layers added
Fix the issues:
Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 :
Encounter any issue, please report on issue report. Issue report should contain the following information :