Merge branch 'main' into add-new-theme

Author: svekars

README.md

@@ -20,7 +20,7 @@ You can submit the following types of issues:
 
 We use sphinx-gallery's [notebook styled examples](https://sphinx-gallery.github.io/stable/tutorials/index.html) to create the tutorials. Syntax is very simple. In essence, you write a slightly well formatted Python file and it shows up as an HTML page. In addition, a Jupyter notebook is autogenerated and available to run in Google Colab.
 
-Here is how you can ceate a new tutorial (for a detailed description, see [CONTRIBUTING.md](./CONTRIBUTING.md)):
+Here is how you can create a new tutorial (for a detailed description, see [CONTRIBUTING.md](./CONTRIBUTING.md)):
 
 NOTE: Before submitting a new tutorial, read [PyTorch Tutorial Submission Policy](./tutorial_submission_policy.md).
 

_static/img/distributed/fsdp_implicit.png

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 """
 PyTorch: Tensors and autograd
 -------------------------------

beginner_source/examples_autograd/polynomial_autograd.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 """
 PyTorch: Defining New autograd Functions
 ----------------------------------------

beginner_source/examples_autograd/polynomial_custom_function.py

@@ -767,14 +767,14 @@ Welcome to PyTorch Tutorials
    :tags: Parallel-and-Distributed-Training
 
 .. customcarditem::
-   :header: Getting Started with Fully Sharded Data Parallel(FSDP)
-   :card_description: Learn how to train models with Fully Sharded Data Parallel package.
+   :header: Getting Started with Fully Sharded Data Parallel (FSDP2)
+   :card_description: Learn how to train models with Fully Sharded Data Parallel (fully_shard) package.
    :image: _static/img/thumbnails/cropped/Getting-Started-with-FSDP.png
    :link: intermediate/FSDP_tutorial.html
    :tags: Parallel-and-Distributed-Training
 
 .. customcarditem::
-   :header: Advanced Model Training with Fully Sharded Data Parallel (FSDP)
+   :header: Advanced Model Training with Fully Sharded Data Parallel (FSDP1)
    :card_description: Explore advanced model training with Fully Sharded Data Parallel package.
    :image: _static/img/thumbnails/cropped/Getting-Started-with-FSDP.png
    :link: intermediate/FSDP_advanced_tutorial.html

index.rst

@@ -373,4 +373,4 @@ def benchmark(func, *args, **kwargs):
 # See Also
 # --------
 #
-# * `Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile() <https://docs.pytorch.org/tutorials/intermediate/transformer_building_blocks.html`__
+# * `Accelerating PyTorch Transformers by replacing nn.Transformer with Nested Tensors and torch.compile <https://docs.pytorch.org/tutorials/intermediate/transformer_building_blocks.html>`__

intermediate_source/FSDP1_tutorial.rst

@@ -91,8 +91,7 @@ Please note the following:
 ## Deleting Stale Tutorials
 
 A tutorial might be considered stale when it no longer aligns with
-the latest PyTorch updates, features, or best practices or best
-practices:
+the latest PyTorch updates, features, or best practices:
 
 * The tutorial is no longer functional due to changes in PyTorch or
   its dependencies