Merge branch 'main' into svekars-patch-3

Author: Svetlana Karslioglu

advanced_source/cpp_frontend.rst

@@ -946,9 +946,9 @@ we use implement the `Adam <https://arxiv.org/pdf/1412.6980.pdf>`_ algorithm:
 .. code-block:: cpp
 
   torch::optim::Adam generator_optimizer(
-      generator->parameters(), torch::optim::AdamOptions(2e-4).beta1(0.5));
+      generator->parameters(), torch::optim::AdamOptions(2e-4).betas(std::make_tuple(0.5, 0.5)));
   torch::optim::Adam discriminator_optimizer(
-      discriminator->parameters(), torch::optim::AdamOptions(5e-4).beta1(0.5));
+      discriminator->parameters(), torch::optim::AdamOptions(5e-4).betas(std::make_tuple(0.5, 0.5)));
 
 .. note::
 

beginner_source/template_tutorial.py

@@ -0,0 +1,92 @@
+# -*- 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
+
+      * 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 repo 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
+

prototype_source/fx_numeric_suite_tutorial.py

@@ -129,7 +129,7 @@ def forward(self, x):
 # 
 
 model = Net()
-optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)
+optimizer = optim.SGD(model.parameters(), lr=0.001, momentum=0.9)
 
 checkpoint = torch.load(PATH)
 model.load_state_dict(checkpoint['model_state_dict'])