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anaconda.org : mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN) is an open source performance library for Deep Learning (DL) applications intended for acceleration of DL frameworks on Intel(R) architecture. Intel(R) MKL-DNN includes highly vectorized and threaded building blocks for implementation of convolutional neural networks (CNN) with C and C++ interfaces.

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purl: pkg:conda/mkl-dnn
Keywords: aarch64, amx, avx512, bfloat16, cpp, deep-learning, deep-neural-networks, library, oneapi, onednn, openmp, performance, sycl, tbb, vnni, x64, x86-64, xe-architecture
License: Apache-2.0
Latest release: over 2 years ago
First release: almost 6 years ago
Dependent packages: 1
Dependent repositories: 1
Stars: 3,096 on GitHub
Forks: 869 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 26 days ago

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