move to prototype_source

Author: shink

index.rst

@@ -509,13 +509,6 @@ Welcome to PyTorch Tutorials
    :link: advanced/privateuseone.html
    :tags: Extending-PyTorch,Frontend-APIs,C++
 
-.. customcarditem::
-   :header: Out-of-tree extension autoloading in Python
-   :card_description: Learn how to improve the seamless integration of out-of-tree extension with PyTorch based on the autoloading mechanism.
-   :image: _static/img/thumbnails/cropped/generic-pytorch-logo.png
-   :link: advanced/python_extension_autoload.html
-   :tags: Extending-PyTorch,Frontend-APIs
-
 .. customcarditem::
    :header: Custom Function Tutorial: Double Backward
    :card_description: Learn how to write a custom autograd Function that supports double backward.
@@ -1117,7 +1110,6 @@ Additional Resources
    advanced/dispatcher
    advanced/extend_dispatcher
    advanced/privateuseone
-   advanced/python_extension_autoload
 
 .. toctree::
    :maxdepth: 2

prototype_source/README.txt

@@ -39,3 +39,7 @@ Prototype Tutorials
 10 flight_recorder_tutorial.rst
 	   Flight Recorder User Guide
 	   https://pytorch.org/tutorials/prototype/flight_recorder_tutorial.html
+
+11 python_extension_autoload.rst
+	   Autoloading Out-of-Tree Extension
+	   https://pytorch.org/tutorials/prototype/python_extension_autoload.html

prototype_source/prototype_index.rst

@@ -225,6 +225,14 @@ Prototype features are not available as part of binary distributions like PyPI o
    :link: ../prototype/flight_recorder_tutorial.html
    :tags: Distributed, Debugging, FlightRecorder
 
+.. Integration
+.. customcarditem::
+   :header: Out-of-tree extension autoloading in Python
+   :card_description: Learn how to improve the seamless integration of out-of-tree extension with PyTorch based on the autoloading mechanism.
+   :image: ../_static/img/thumbnails/cropped/generic-pytorch-logo.png
+   :link: ../prototype/python_extension_autoload.html
+   :tags: Extending-PyTorch, Frontend-APIs
+
 .. End of tutorial card section
 
 .. raw:: html
@@ -265,3 +273,4 @@ Prototype features are not available as part of binary distributions like PyPI o
    prototype/maskedtensor_sparsity.html
    prototype/maskedtensor_advanced_semantics.html
    prototype/maskedtensor_adagrad.html
+   prototype/python_extension_autoload.html