Intel(R) Math Kernel Library for Deep Neural Network

Edit Package mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open-source performance library for deep-learning applications. The library accelerates deep-learning applications and frameworks on Intel architecture. Intel MKL-DNN contains vectorized and threaded building blocks that you can use to implement deep neural networks (DNN) with C and C++ interfaces.

DNN functionality optimized for Intel architecture is also included in Intel Math Kernel Library (Intel MKL). The API in that implementation is not compatible with Intel MKL-DNN and does not include certain new and experimental features.

This release contains performance-critical functions that improve performance of the following deep learning topologies and variations of these:

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Source Files
Filename Size Changed
_constraints 0000000135 135 Bytes
cmake-no-install-ocl-cmake.patch 0000001183 1.16 KB
mkl-dnn-1.4.tar.gz 0005320976 5.07 MB
mkl-dnn.changes 0000003434 3.35 KB
mkl-dnn.spec 0000005265 5.14 KB
Latest Revision
Yuchen Lin's avatar Yuchen Lin (maxlin_factory) accepted request 800687 from Origin Manager's avatar Origin Manager (origin-manager) (revision 4)
Newer source available from package origin. (host go-agent-stagingbot-4)
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