TensorFlow-HRT
OAID
Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, 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 TensorFlow architecture which users deploy their applications seamlessly.
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1 data points · 2021-08-07 → 2021-08-07How do you feel about this project?
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Question copied to clipboardWhat is the OAID/TensorFlow-HRT GitHub project? Description: "Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, 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 TensorFlow architecture which users deploy their applications seamlessly. ". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.
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