Get Started with Intel® oneAPI Deep Neural Network Library
The Intel® oneAPI Deep Neural Network Library (oneDNN) is a performance library for deep learning applications. The library includes basic building blocks for neural networks optimized for Intel® Architecture Processors and Intel Processor Graphics. oneDNN is intended for deep learning applications and framework developers interested in improving application performance on Intel CPUs and GPUs.
The oneDNN library provides a SYCL* extensions API for CPUs and GPUs.
Before You Begin
- See Get Started with the Intel® oneAPI DPC++/C++ Compiler.
- Refer to the oneDNN Release Notes and System Requirements to make sure you have the necessary system and software components.
- To build examples, you will also need CMake* 2.8.1.1 or later.
Examples
Use the following sample projects to become familiar with the Intel® oneAPI Deep Neural Network Library:
Sample Name | Description |
getting_started | This C++ API example demonstrates the basics of the oneDNN programming model. |
sycl_interop_buffer and sycl_interop_usm | This C++ API example demonstrates programming for Intel® Processor Graphics with SYCL extensions API in oneDNN. |
Building Examples with the Intel® oneAPI DPC++/C++ Compiler
To setup the oneAPI environment, see the following examples.
Linux
Windows
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