From 00cd2b705c215eb6aa37d6fdbb4a892b376efaeb Mon Sep 17 00:00:00 2001 From: Beth Dean Date: Mon, 6 May 2019 13:14:47 -0700 Subject: [PATCH] Add release note links for V3 release (#472) --- source/clear-linux/tutorials/dlrs/dlrs.rst | 32 ++++++++++++++-------- 1 file changed, 21 insertions(+), 11 deletions(-) diff --git a/source/clear-linux/tutorials/dlrs/dlrs.rst b/source/clear-linux/tutorials/dlrs/dlrs.rst index fd6d9ef9..52e56a39 100644 --- a/source/clear-linux/tutorials/dlrs/dlrs.rst +++ b/source/clear-linux/tutorials/dlrs/dlrs.rst @@ -11,23 +11,29 @@ cover using Kubeflow for multi-node benchmarking. :local: :depth: 1 -The Deep Learning Reference Stack is available in four versions: +The Deep Learning Reference Stack is available in five versions: +* `Intel MKL-DNN-VNNI`_, which is optimized using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) primitives and introduces support for AVX-512 Vector Neural Network Instructions (VNNI). +* `Intel MKL-DNN`_, which includes the TensorFlow framework optimized using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) primitives. * `Eigen`_, which includes `TensorFlow`_ optimized for Intel® architecture. -* `Intel MKL-DNN`_, which includes the TensorFlow framework optimized using - Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) primitives. * `PyTorch with OpenBLAS`_, which includes PyTorch with OpenBlas. -* `PyTorch with Intel MKL-DNN`_, which includes PyTorch optimized using - Intel® Math Kernel Library (Intel® MKL)and Intel MKL-DNN. +* `PyTorch with Intel MKL-DNN`_, which includes PyTorch optimized using Intel® Math Kernel Library (Intel® MKL)and Intel MKL-DNN. + + +.. note:: + + To take advantage of the AVX-512 and VNNI functionality with the Deep Learning Reference Stack, please use the following hardware: + * AVX 512 images requires an Intel® Xeon® Scalable Platform + * VNNI requires a Second-Generation Intel® Xeon® Scalable Platform + Release notes ************* -* View current `release notes`_ for the Deep Learning Reference Stack. -* View current `TensorFlow benchmark results`_ for the Deep Learning - Reference Stack with TensorFlow. -* View current `PyTorch benchmark results`_ for the Deep Learning Reference - Stack with PyTorch. +* View current `release notes`_ for the Deep Learning Reference Stack V3. +* View current `PyTorch benchmark results`_ for the Deep Learning Reference Stack with PyTorch, DLRS V2. +* View current `TensorFlow benchmark results`_ for the first release of the Deep Learning Reference Stack with TensorFlow. +* Go to the `github release notes`_ for the latest release. .. note:: @@ -400,7 +406,9 @@ You can continue working in this notebook, or you can download existing notebook .. _PyTorch with Intel MKL-DNN: https://hub.docker.com/r/clearlinux/stacks-pytorch-mkl -.. _release notes: https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlrs +.. _Intel MKL-DNN-VNNI: https://hub.docker.com/r/clearlinux/stacks-dlrs-mkl-vnni + +.. _release notes: https://clearlinux.org/stacks/deep-learning-reference-stack-v3 .. _ksonnet registries for deploying TFJobs: https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlrs/kubeflow/dlrs-tfjob @@ -411,3 +419,5 @@ You can continue working in this notebook, or you can download existing notebook .. _PyTorch benchmark results: https://clearlinux.org/stacks/deep-learning-reference-stack-pytorch .. _Jupyter Notebook: https://jupyter.org/ + +.. _github release notes: https://github.com/clearlinux/dockerfiles/blob/master/stacks/dlrs/releasenote.md