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changing from Clear Linux DLS to Intel DLS

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Beth Dean
2018-12-05 13:49:01 -08:00
parent af3e84e292
commit 1faf329bed
1 changed files with 6 additions and 6 deletions
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source/clear-linux/tutorials/dlaas.rst
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@@ -4,12 +4,12 @@ Deep Learning as a Service
##########################
This tutorial explains how to run benchmarking workloads in |CL-ATTR| using
TensorFlow* and Kubeflow with the Clear Linux* Deep Learning Stack.
TensorFlow* and Kubeflow with the Intel® Deep Learning Stack.
Release notes
=============
View current `release notes for the Clear Linux Deep Learning Stack`_.
View current `release notes`_ for the Intel® Deep Learning Stack.
Prerequisites
=============
@@ -42,7 +42,7 @@ We have validated these steps against the following software package versions
* Kubernetes 1.11.3
* Go 1.11.12
The |CL| Deep Learning Stack is available in two versions. First, a version that includes TensorFlow* optimized for Intel Architecture, the `Eigen`_ version, and a version that includes the TensorFlow* framework optimized using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) primitives, the `Intel MKL`_ version.
The Intel® Deep Learning Stack is available in two versions. First, a version that includes TensorFlow* optimized for Intel Architecture, the `Eigen`_ version, and a version that includes the TensorFlow* framework optimized using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) primitives, the `Intel MKL`_ version.
TensorFlow* Single and Multi Node Benchmarks
============================================
@@ -96,7 +96,7 @@ Images
******
We need to add `launcher.py` to our docker image to
include the |CL| Deep Learning Stack, and put the benchmarks repo in the
include the Intel® Deep Learning Stack, and put the benchmarks repo in the
right location. From the docker image, run the following:
.. code-block:: bash
@@ -161,7 +161,7 @@ This creates the CustomResourceDefinition(CRD) endpoint to launch a TFJob.
Running the Deep Learning as a Service TFJob
============================================
The `jsonnet template files`_ for ResNet50 and Alexnet are available in the |CL|
The `jsonnet template files`_ for ResNet50 and Alexnet are available in the Intel®
Deep Learning Stack repository. Download and copy these files into:
.. code-block:: console
@@ -207,7 +207,7 @@ benchmark results. More information about `Kubernetes logging`_ is available fro
.. _Eigen: https://hub.docker.com/r/clearlinux/stacks-dlaas-oss/
.. _Intel MKL-DNN: https://hub.docker.com/r/clearlinux/stacks-dlaas-mkl/
.. _release notes for the Clear Linux Deep Learning Stack: https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlaas
.. _release notes: https://github.com/clearlinux/dockerfiles/tree/master/stacks/dlaas
.. _Clear Linux Docker Hub page: https://hub.docker.com/u/clearlinux/