From 0daea0df5ccaa47c3d7eea64e8250d7374e1f179 Mon Sep 17 00:00:00 2001
From: misohu <michal.hucko@canonical.com>
Date: Thu, 22 Aug 2024 15:19:04 +0200
Subject: [PATCH] Reduce the intel examples to a note in notebook creation

---
 docs/how-to/index.rst                 | 10 --------
 docs/how-to/intel-gpu-computation.rst | 33 ---------------------------
 docs/how-to/jupyter-notebook.rst      |  8 +++++++
 3 files changed, 8 insertions(+), 43 deletions(-)
 delete mode 100644 docs/how-to/intel-gpu-computation.rst

diff --git a/docs/how-to/index.rst b/docs/how-to/index.rst
index c7e3a3b..fdebf0f 100644
--- a/docs/how-to/index.rst
+++ b/docs/how-to/index.rst
@@ -33,16 +33,6 @@ Learn how to manage `MLflow <Charmed MLflow_>`_ within your DSS environment.
    :maxdepth: 1
 
    mlflow
-
-Running calculations with Intel frameworks
-------------------------------------------
-
-Learn how to run simple calculations with machine learning frameworks on Intel hardware with DSS.
-
-.. toctree::
-   :maxdepth: 1
-
-   intel-gpu-computation
    
 Enable GPUs
 --------------------
diff --git a/docs/how-to/intel-gpu-computation.rst b/docs/how-to/intel-gpu-computation.rst
deleted file mode 100644
index 13213d1..0000000
--- a/docs/how-to/intel-gpu-computation.rst
+++ /dev/null
@@ -1,33 +0,0 @@
-.. _intel_calculations:
-
-Running calculations with Intel frameworks
-==========================================
-
-This guide describes how to run simple calculations with machine learning frameworks on Intel hardware with DSS.
-
-Prerequisites
--------------
-
-* Your machine includes an Intel GPU.
-* Ubuntu 22.04.
-* Intel plugin is :ref:`enabled <enable_intel_gpu>` on your Kubernetes cluster.
-* DSS is :ref:`installed <install_DSS_CLI>` and :ref:`initialised <initialise_DSS>`.
-* Intel :ref:`IPEX/ITEX notebook is created <manage_notebooks>`.
-
-Intel Pytorch Extension Notebook (IPEX)
----------------------------------------
-
-First, :ref:`access a notebook <access_notebook>` in DSS.
-
-After that, you can find an example machine learning workload for a computer vision task 
-in the `Intel documentation <https://intel.github.io/intel-extension-for-pytorch/xpu/latest/tutorials/examples.html#float32>`_. 
-Copy and paste the code into a notebook cell and run it.
-
-Intel TensorFlow Extension Notebook (ITEX)
-------------------------------------------
-
-First, :ref:`access a notebook <access_notebook>` in DSS.
-
-After that, you can find a recommended example for running a machine learning workload using Intel TensorFlow Extension (ITEX)
-in the `Intel TensorFlow documentation <https://github.com/intel/intel-extension-for-tensorflow/blob/main/examples/quick_example.md>`_. 
-Copy and paste the code into a notebook cell and run it.
diff --git a/docs/how-to/jupyter-notebook.rst b/docs/how-to/jupyter-notebook.rst
index 84a9e9f..416cd97 100644
--- a/docs/how-to/jupyter-notebook.rst
+++ b/docs/how-to/jupyter-notebook.rst
@@ -130,6 +130,14 @@ For example, you should expect an output like the following for a host system co
 
     Intel denotes XPU the combination of an Intel CPU with GPU.
 
+.. note::
+
+   Example machine learning computations can be found directly in the following resources:
+   
+   * `IPEX Example <https://intel.github.io/intel-extension-for-pytorch/xpu/latest/tutorials/examples.html#float32>`_
+   * `ITEX Example <https://github.com/intel/intel-extension-for-tensorflow/blob/main/examples/quick_example.md>`_
+
+
 List created notebooks
 ----------------------