Intel® oneAPI Deep Neural Network Library

Increase Deep Learning Framework Performance on CPUs and GPUs

Building Blocks to Optimize AI Applications

The Intel® oneAPI Deep Neural Network Library (oneDNN) helps developers improve productivity and enhance the performance of their deep learning frameworks. Use the same API to develop for CPUs, GPUs, or both. Then implement the rest of the application using SYCL*. This library is included in both the Intel® oneAPI Base Toolkit and Intel® oneAPI DL Framework Developer Kit.

The library is built around three concepts:

  • Primitive: Any low-level operation from which more complex operations are constructed, such as convolution, data format reorder, and memory
  • Engine: A hardware processing unit, such as a CPU or GPU
  • Stream: A queue of primitive operations on an engine

Top benefits:

  • Supports key data type formats, including 16- and 32-bit floating points, bfloat16, and 8-bit integers
  • Implements rich operators, including convolution, matrix multiplication, pooling, batch normalization, activation functions, recurrent neural network (RNN) cells, and long short-term memory (LSTM) cells
  • Accelerates inference performance with automatic detection of Intel® Deep Learning Boost technology

 

Download as Part of the Toolkit

oneDNN is included as part of the Intel oneAPI Base Toolkit, which is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Download the Stand-Alone Version

A stand-alone download of oneDNN is available. You can download binaries from Intel or choose your preferred repository.

Develop in the Free Intel® Cloud

Get what you need to build and optimize your oneAPI projects for free. With an Intel® DevCloud account, you get 120 days of access to the latest Intel® hardware—CPUs, GPUs, FPGAs—and Intel® oneAPI tools and frameworks. No software downloads. No configuration steps. No installations.

Help oneDNN Evolve

oneDNN is part of the oneAPI industry standards initiative. We welcome you to participate.

 

Specification

Open Source Version (GitHub*)

Specifications

Processors:

  • Intel Atom® processors with Intel® Streaming SIMD Extensions
  • Intel® Core™ processors
  • Intel® Xeon® processors
  • Intel® Xeon® Scalable processors

GPUs:

  • Intel® Processor Graphics Gen9 and above
  • Xe Architecture

Host & target operating systems:

  • Linux*
  • Windows*
  • macOS*

Languages:

  • SYCL
    Note Must have Intel oneAPI Base Toolkit installed
  • C and C++

Compilers:

  • Intel® oneAPI DPC++/C++ Compiler
  • Intel® C++ Compiler Classic
  • GNU C++ Compiler*
  • Clang*

For more information, see the system requirements.
 

Threading runtimes:

  • Intel® oneAPI Threading Building Blocks
  • OpenMP*
  • SYCL

For more information, see the system requirements.

Get Help

Your success is our success. Access these forum and GitHub resources when you need assistance.

Stay in the Know with All Things CODE

Sign up to receive the latest trends, tutorials, tools, training, and more to
help you write better code optimized for CPUs, GPUs, FPGAs, and other
accelerators—stand-alone or in any combination.

 

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.