![]() ![]() Now, Intel Optimization for Tensorflow is also available as part of Intel® AI Analytics Toolkit. This install guide features several methods to obtain Intel Optimized TensorFlow including off-the-shelf packages or building one from source that are conveniently categorized into Binaries, Docker Images, Build from Source.įor more details of those releases, users could check Release Notes of Intel Optimized TensorFlow. ![]() Starting from TensorFlow v1.9, Anaconda has and will continue to build TensorFlow using oneDNN primitives to deliver maximum performance in your CPU. For more information on the optimizations as well as performance data, see this blog post TensorFlow* Optimizations on Modern Intel® Architecture.Īnaconda* has now made it convenient for the AI community to enable high-performance-computing in 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. TensorFlow* is a widely-used machine learning framework in the deep learning arena, demanding efficient utilization of computational resources.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |