.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "tutorials/template_tutorial.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_tutorials_template_tutorial.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_tutorials_template_tutorial.py:


Template Tutorial
=================

**Author:** `FirstName LastName <https://github.com/username>`_

.. grid:: 2

    .. grid-item-card:: :octicon:`mortar-board;1em;` What you will learn

      * Item 1
      * Item 2
      * Item 3

    .. grid-item-card:: :octicon:`list-unordered;1em;` Prerequisites

      * PyTorch v2.0.0
      * GPU ???
      * Other items 3

If you have a video, add it here like this:

.. raw:: html

   <div style="margin-top:10px; margin-bottom:10px;">
     <iframe width="560" height="315" src="https://www.youtube.com/embed/IC0_FRiX-sw" frameborder="0" allow="accelerometer; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>
   </div>

To test your tutorial locally, you can do one of the following:

*  You can control specific files that generate the results by using
   ``GALLERY_PATTERN`` environment variable. The GALLERY_PATTERN variable
   respects regular expressions.
   For example to run only ``neural_style_transfer_tutorial.py``,
   use the following command:

   .. code-block:: sh

      GALLERY_PATTERN="neural_style_transfer_tutorial.py" make html

   or

   .. code-block:: sh

      GALLERY_PATTERN="neural_style_transfer_tutorial.py" sphinx-build . _build

* Make a copy of this repository and add only your
  tutorial to the `beginner_source` directory removing all other tutorials.
  Then run ``make html``.
  
Verify that all outputs were generated correctly in the created HTML.

.. GENERATED FROM PYTHON SOURCE LINES 62-74

Overview
--------

Describe Why is this topic important? Add Links to relevant research papers.

This tutorial walks you through the process of....

Steps
-----

Example code (the output below is generated automatically):


.. GENERATED FROM PYTHON SOURCE LINES 74-80

.. code-block:: default


    import torch

    x = torch.rand(5, 3)
    print(x)


.. GENERATED FROM PYTHON SOURCE LINES 81-87

(Optional) Additional Exercises
-------------------------------

Add additional practice exercises for users to test their knowledge.
Example: `NLP from Scratch <https://pytorch.org/tutorials/intermediate/char_rnn_generation_tutorial.html#exercises>`__.


.. GENERATED FROM PYTHON SOURCE LINES 89-92

Conclusion
----------


.. GENERATED FROM PYTHON SOURCE LINES 92-100

.. code-block:: default


    # Summarize the steps and concepts covered. Highlight key takeaways.
    #
    # Further Reading
    # ---------------
    #
    # * Link1
    # * Link2


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.000 seconds)


.. _sphx_glr_download_tutorials_template_tutorial.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example




    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: template_tutorial.py <template_tutorial.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: template_tutorial.ipynb <template_tutorial.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_