# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD 3-Clause license found in the
# LICENSE file in the root directory of this source tree.
# -*- coding: utf-8 -*-

"""
Template Tutorial
=================

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

**What you will learn**

* Item 1
* Item 2
* Item 3

**Prerequisites**

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

"""

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