Intel® oneAPI Deep Neural Network Library

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 Data Parallel C++. 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

Intel® oneAPI Base Toolkit

Intel® oneAPI DL Framework Developer Toolkit

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oneDNN is included as part of the Intel® oneAPI Base Toolkit.

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