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Add release note links for V3 release (#472)

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Beth Dean
2019-05-06 13:14:47 -07:00
committed by michael vincerra
parent 5cfc679bec
commit 00cd2b705c
1 changed files with 21 additions and 11 deletions
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source/clear-linux/tutorials/dlrs/dlrs.rst
+21 -11
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@@ -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