docker pull intel/intel-optimized-tensorflow:2.2.0-ubuntu-20.04
Intel® Optimizations for TensorFlow* is a binary distribution of TensorFlow* with Intel® oneAPI Deep Neural Network Library (Intel® 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. In order to take full advantage of Intel® architecture and to extract maximum performance, the TensorFlow* framework has been optimized using Intel® oneDNN primitives.
Includes the Python3 interpreter and the following wheel(s) and librarie(s) are pre-installed:
By accessing, downloading or using this software and any required dependent software (the “Software Package”), you agree to the terms and conditions of the software license agreements for the Software Package, which may also include notices, disclaimers, or license terms for third party software included with the Software Package. Please refer to Intel Simplified Software License (Version February 2020) for additional details.
Intel® Optimizations for TensorFlow*
Intel® Optimizations for TensorFlow* with Jupyter Notebook*
Intel® Optimizations for TensorFlow* with Open MPI* and Horovod*
Intel® Optimizations for TensorFlow* with Open MPI*, Horovod* and Jupyter Notebook*
Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804