Merge branch 'master' into dependabot/pip/pillow-9.3.0

Author: Svetlana Karslioglu

.jenkins/validate_tutorials_built.py

@@ -39,6 +39,7 @@
     "recipes/profiler_recipe",
     "recipes/save_load_across_devices",
     "recipes/warmstarting_model_using_parameters_from_a_different_model",
+    "dynamo_tutorial",
     "recipes/dynamic_quantization",
     "recipes/saving_and_loading_a_general_checkpoint",
     "recipes/benchmark",
@@ -51,6 +52,7 @@
     "hyperparameter_tuning_tutorial",
     "flask_rest_api_tutorial",
     "text_to_speech_with_torchaudio",
+    "ax_multiobjective_nas_tutorial"
 ]
 
 

beginner_source/basics/optimization_tutorial.py

@@ -13,7 +13,7 @@
 ===========================
 
 Now that we have a model and data it's time to train, validate and test our model by optimizing its parameters on
-our data. Training a model is an iterative process; in each iteration (called an *epoch*) the model makes a guess about the output, calculates
+our data. Training a model is an iterative process; in each iteration the model makes a guess about the output, calculates
 the error in its guess (*loss*), collects the derivatives of the error with respect to its parameters (as we saw in
 the `previous section  <autograd_tutorial.html>`_), and **optimizes** these parameters using gradient descent. For a more
 detailed walkthrough of this process, check out this video on `backpropagation from 3Blue1Brown <https://www.youtube.com/watch?v=tIeHLnjs5U8>`__.

index.rst

@@ -517,6 +517,13 @@ What's new in PyTorch tutorials?
    :link: intermediate/ax_multiobjective_nas_tutorial.html
    :tags: Model-Optimization,Best-Practice,Ax,TorchX
 
+.. customcarditem::
+   :header: TorchDynamo and TorchInductor Tutorial
+   :card_description: Speed up your models with minimal code changes using TorchDynamo and TorchInductor, the latest PyTorch compiler solution.
+   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
+   :link: intermediate/dynamo_tutorial.html
+   :tags: Model-Optimization
+
 .. Parallel-and-Distributed-Training
 
 
@@ -901,6 +908,7 @@ Additional Resources
    intermediate/torchserve_with_ipex_2
    intermediate/nvfuser_intro_tutorial
    intermediate/ax_multiobjective_nas_tutorial
+   intermediate/dynamo_tutorial
 
 .. toctree::
    :maxdepth: 2