uxlfoundation/oneDNN

oneAPI Deep Neural Network Library (oneDNN)

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This library provides core computational building blocks for deep learning models, enabling applications like PyTorch or TensorFlow to run much faster. It takes common deep learning operations (like convolutions or matrix multiplications) and provides highly optimized versions. The primary users are developers of deep learning frameworks and applications who want to improve performance on various CPU and GPU hardware.

3,962 stars. Actively maintained with 242 commits in the last 30 days.

Use this if you are developing a deep learning framework or application and need to optimize its core computations for various Intel, AMD, or Arm processors and GPUs.

Not ideal if you are an end-user running deep learning models; instead, you should use a framework like PyTorch or TensorFlow that already incorporates this library.

deep-learning-frameworks model-optimization neural-network-inference high-performance-computing AI-software-development
No Package No Dependents
Maintenance 22 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

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Stars

3,962

Forks

1,110

Language

C++

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

242

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