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Deep Neural Network Library (DNNL)


Deep Neural Network Library (DNNL) is an open-source performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel Architecture Processors and Intel Processor Graphics. DNNL is intended for deep learning applications and framework developers interested in improving the application performance on Intel CPUs and GPUs.

The project was initially launched as Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) and renamed to DNNL with v1.1 release.


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