![]() To activate oneDNN, execute the following in the Windows command prompt: set TF_ENABLE_ONEDNN_OPTS=1 before running your AI/ML workload. For more information on the optimizations as well as performance data, see this blog post Faster AI Inference with Intel Optimization for TensorFlow. In order to take full advantage of Intel architecture and to extract maximum performance, the TensorFlow framework has been optimized using oneAPI Deep Neural Network Library (oneDNN) primitives, a popular performance library for deep learning applications. This optimized version of TensorFlow for Windows OS has been produced by Intel. Originally developed by researchers and engineers from the Google Brain team ( ) within Google's AI organization, TensorFlow comes with strong support for machine learning and deep learning with a flexible numerical computation core that can be used across many other scientific domains. Read the pip install guide Run a TensorFlow container The TensorFlow Docker images are already configured to run TensorFlow. Official packages available for Ubuntu, Windows, and macOS. TensorFlow 2 packages require a pip version >19.0 (or >20.3 for macOS). Its flexible architecture allows easy deployment of computation across a variety of platforms, and from desktops to clusters of servers to mobile and edge devices. Download a package Install TensorFlow with Python's pip package manager. TensorFlow is an open source software library for high performance numerical computation.
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