{"id":26260091,"url":"https://github.com/OAID/CaffeOnACL","last_synced_at":"2025-03-13T23:01:43.352Z","repository":{"id":108448383,"uuid":"93132723","full_name":"OAID/Caffe-HRT","owner":"OAID","description":"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. 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Can download the source code from [OAID/Caffe-HRT](https://github.com/OAID/Caffe-HRT)\n\n* 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).\n* Caffe is a fast open framework for deep learning. See also [Caffe](https://github.com/BVLC/caffe).\n\n### Documents\n* [Installation instructions](acl_openailab/installation.md)\n* [User Manuals PDF](acl_openailab/user_manual.pdf)\n* [Performance Report PDF](acl_openailab/performance_report.pdf)\n* [Accuracy Report PDF](acl_openailab/accuracy_report.pdf)\n\n### Arm Compute Library Compatibility Issues :\nThere 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\n\n* Normalization in-channel issue\n* Tanh issue\n* Softmax supporting multi-dimension issue\n* Group issue\n\nPerformance need be fine turned in the future\n\n# Release History\nThe Caffe based version is [793bd96351749cb8df16f1581baf3e7d8036ac37](https://github.com/BVLC/caffe/tree/793bd96351749cb8df16f1581baf3e7d8036ac37).\n\n### Version 0.5.0 - Jan 31, 2018\nSupport Arm Compute Library version 17.12\n\n### Version 0.4.1 - Nov 23, 2017\nSupport Arm Compute Library version 17.10\n\n### Version 0.4.0 - Oct 11, 2017\nSupport Arm Compute Library version 17.09\n\n### Version 0.3.0 - Aug 26, 2017\nSupport Arm Compute Library version 17.06 with 4 new layers added\n\n* Batch Normalization Layer\n* Direct convolution Layer\n* Locally Connect Layer\n* Concatenate layer\n\n\n### Version 0.2.0 - Jul 2, 2017\n\nFix the issues:\n\n* Compatible with Arm Compute Library version 17.06\n* When OpenCL initialization fails, even if Caffe uses CPU-mode,it doesn't work properly.\n\n### Version 0.1.0 - Jun 2, 2017 \n   \n  Initial version supports 10 Layers accelerated by Arm Compute Library version 17.05 : \n\n* Convolution Layer\n* Pooling Layer\n* LRN Layer\n* ReLU Layer\n* Sigmoid Layer\n* Softmax Layer\n* TanH Layer\n* AbsVal Layer\n* BNLL Layer\n* InnerProduct Layer\n\n# Issue Report\nEncounter any issue, please report on [issue report](https://github.com/OAID/Caffe-HRT/issues). Issue report should contain the following information :\n\n*  The exact description of the steps that are needed to reproduce the issue \n* The exact description of what happens and what you think is wrong \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FOAID%2FCaffeOnACL","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FOAID%2FCaffeOnACL","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FOAID%2FCaffeOnACL/lists"}