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. 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. The Community version of our distributed database offers a flexible document data model along with support for ad-hoc queries, secondary indexing, and real-time aggregations to provide powerful ways to access and analyze your data. v7.0 and later are supported on Windows 10 (desktop) or 2016 (server) and above. v5.0 and later are supported on Windows 8 (desktop) or 2012 (server) and above. TensorFlow is an open source software library for high performance numerical computation. pgAdmin is available for 64 bit Windows 7 SP1 (desktop) or 2008R2 (server) and above, up to v4.30.
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