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conda-forge.org : onednn

oneAPI Deep Neural Network Library (oneDNN) is an open-source cross-platform performance library of basic building blocks for deep learning applications. oneDNN is intended for deep learning applications and framework developers interested in improving application performance. Deep learning practitioners should use one of the applications enabled with oneDNN. In this package oneDNN is built with the Threadpool CPU runtime. oneDNN requires the user to implement a Threadpool interface to enable the library to perform computations using multiple threads. For more information please read oneDNN developer guide: https://oneapi-src.github.io/oneDNN/

Registry - Source - JSON
purl: pkg:conda/onednn
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 1 year ago
First release: about 3 years ago
Dependent packages: 3
Dependent repositories: 1
Stars: 3,441 on GitHub
Forks: 948 on GitHub
Total Commits: 12633
Committers: 264
Average commits per author: 47.852
Development Distribution Score (DDS): 0.9
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: about 11 hours ago

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