Pull Command
docker pull intel/intel-optimized-tensorflow:latest
Tags & Pull Commands for Other Versions
OS | Target | Version | Size | Updated | Pull Command |
---|---|---|---|---|---|
Linux* | x86_64 | 2.8 | 393.59 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow:jupyter |
Linux* | x86_64 | 2.8 | 582.15 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow:mpi-horovod |
Linux* | x86_64 | 2.8 | 583.5 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow:mpich-horovod |
Linux* | x86_64 | 2.8 | 348.11 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow-avx512:latest |
Linux* | x86_64 | 2.8 | 395.72 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow-avx512:jupyter |
Linux* | x86_64 | 2.8 | 592.31 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow-avx512:mpi-horovod |
Linux* | x86_64 | 2.8 | 585.62 MB | 3/2022 | docker pull intel/intel-optimized-tensorflow-avx512:mpich-horovod |
Description
Intel® Optimization for TensorFlow* is a binary distribution of TensorFlow with Intel® oneAPI Deep Neural Network Library primitives, a popular performance library for deep-learning applications. TensorFlow is a widely used machine-learning framework in the deep-learning arena, demanding efficient use of computational resources. To take full advantage of Intel® architecture and to extract maximum performance, the TensorFlow framework has been optimized using oneDNN primitives.
It includes the Python* 3 interpreter and Intel Optimization for Tensorflow. There are also additional container tags that include the following preinstalled libraries:
Documentation and Sources
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Legal Notice
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.