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# -*- coding: utf-8 -*-

"""

Template Tutorial

=================

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

.. grid:: 2

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

:class-card: card-prerequisites

* Item 1

* Item 2

* Item 3

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

:class-card: card-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.

"""

#########################################################################

# 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):

#

import torch

x = torch.rand(5, 3)

print(x)

######################################################################

# (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>`__.

#

######################################################################

# Conclusion

# ----------

#

# Summarize the steps and concepts covered. Highlight key takeaways.

#

# Further Reading

# ---------------

#

# * Link1

# * Link2