Add Numeric Suite Tutorial to prototype (pytorch#1064)

* Add TorchScript fork/join tutorial

* Add note about zipfile format in serialization tutorial

* Profiler recipe (pytorch#1019)

* Profiler recipe

Summary:
Adding a recipe for profiler

Test Plan:
make html-noplot

* [mobile] Mobile Perf Recipe

* Minor syntax edits to mobile perf recipe

* Remove built files

* [android] android native app recipe

* [mobile_perf][recipe] Add ChannelsLast recommendation

* Adding distributed pipeline parallel tutorial

* Add async execution tutorials

* Fix code block in pipeline tutorial

* Adding an Overview Page for PyTorch Distributed (pytorch#1056)

* Adding an Overview Page for PyTorch Distributed

* Let existing PT Distributed tutorials link to the overview page

* Add a link to AMP

* Address Comments

* Remove unnecessary dist.barrier()

* [Mobile Perf Recipe] Add the benchmarking part for iOS (pytorch#1055)

* [Mobile Perf Recipe] Add the benchmarking part for iOS

* [Mobile Perf Recipe] Add the benchmarking part for iOS

Co-authored-by: Jessica Lin <jplin@fb.com>

* Add files via upload

* Create numeric_suite_tutorial.py

* jlin27_numeric_suite_tutorial

Made some syntax edits because original headings were not rendering properly and breaking the build:
- Removed the lines of pound sign (#) delimiters under text because when placed under text, it renders them all as headers
- Add lines of pound delimiters above certain blocks of text to force them to show up as plain text between the code rather than comments with the code
- Added code syntax  (e.g.``compare_weights``)

Suggestions: 
- Link to code or documentation (for example in the beginning when referencing new code or new concepts)
- Add a conclusion section with links to references or learn more at the end
    - Examples:
https://pytorch.org/tutorials/intermediate/dynamic_quantization_bert_tutorial.html#conclusion

Fixes:
- Currently the tutorial references images in `/_static/img/` but they are placed in `/_static/`. Make sure these match up.

* Delete compare_output.png

* Delete compare_stub.png

* Delete shadow.png

* Add files via upload

* RPC profiling recipe (pytorch#1068)

* Initial commit

* Update

* Complete most of recipe

* Add image

* Link image

* Remove extra file

* update

* Update

* update

* Update numeric_suite_tutorial.py

* Update numeric_suite_tutorial.py

* Push latest changes from master into release/1.6 (pytorch#1074)

* Update feature classification labels

* Update NVidia -> Nvidia

* Bring back default filename_pattern so that by default we run all galleries.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Add prototype_source directory

* Add prototype directory

* Add prototype

* Remove extra "done"

* Add REAME.txt

* Update for prototype instructions

* Update for prototype feature

* refine torchvision_tutorial doc for windows

* Update neural_style_tutorial.py (pytorch#1059)

Updated the mistake in the Loading Images Section.

* torch_script_custom_ops restructure (pytorch#1057)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Port custom ops tutorial to new registration API, increase testability.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Kill some other occurrences of RegisterOperators

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update README.md

* Make torch_script_custom_classes tutorial runnable

I also fixed some warnings in the tutorial, and fixed some minor bitrot
(e.g., torch::script::Module to torch::jit::Module)

I also added some missing quotes around some bash expansions.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Co-authored-by: Edward Z. Yang <ezyang@fb.com>
Co-authored-by: Yang Gu <yangu@microsoft.com>
Co-authored-by: Hritik Bhandari <bhandari.hritik@gmail.com>

* Tutorial for DDP + RPC (pytorch#1071)

* Update feature classification labels

* Update NVidia -> Nvidia

* Bring back default filename_pattern so that by default we run all galleries.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Tutorial for DDP + RPC.

Summary: Based on example from pytorch/examples#800

* Add to main section

Summary:

Test Plan:

Reviewers:

Subscribers:

Tasks:

Tags:

* Added separate code file and used literalinclude

Summary:

Test Plan:

Reviewers:

Subscribers:

Tasks:

Tags:

Co-authored-by: Jessica Lin <jplin@fb.com>
Co-authored-by: Edward Z. Yang <ezyang@fb.com>
Co-authored-by: pritam <pritam.damania@fb.com>

* Make RPC profiling recipe into prototype tutorial (pytorch#1078)

* Add RPC tutorial

* Update to include recipes

* Add Graph Mode Dynamic Quant tutorial (pytorch#1065)

* Update feature classification labels

* Update NVidia -> Nvidia

* Bring back default filename_pattern so that by default we run all galleries.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Add prototype_source directory

* Add prototype directory

* Add prototype

* Remove extra "done"

* Add REAME.txt

* Update for prototype instructions

* Update for prototype feature

* refine torchvision_tutorial doc for windows

* Update neural_style_tutorial.py (pytorch#1059)

Updated the mistake in the Loading Images Section.

* torch_script_custom_ops restructure (pytorch#1057)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Port custom ops tutorial to new registration API, increase testability.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Kill some other occurrences of RegisterOperators

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update README.md

* Make torch_script_custom_classes tutorial runnable

I also fixed some warnings in the tutorial, and fixed some minor bitrot
(e.g., torch::script::Module to torch::jit::Module)

I also added some missing quotes around some bash expansions.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Add Graph Mode Dynamic Quant tutorial

Summary:
Tutorial to demonstrate graph mode dynamic quant on BERT model.
Currently not directly runnable as it requires to download glue dataset and fine-tuned model

Co-authored-by: Jessica Lin <jplin@fb.com>
Co-authored-by: Edward Z. Yang <ezyang@fb.com>
Co-authored-by: Yang Gu <yangu@microsoft.com>
Co-authored-by: Hritik Bhandari <bhandari.hritik@gmail.com>

* Add mobile recipes images

* Update mobile recipe index

* Remove RPC Profiling recipe from index

* 1.6 model freezing tutorial (pytorch#1077)

* Update feature classification labels

* Update NVidia -> Nvidia

* Bring back default filename_pattern so that by default we run all galleries.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Add prototype_source directory

* Add prototype directory

* Add prototype

* Remove extra "done"

* Add REAME.txt

* Update for prototype instructions

* Update for prototype feature

* refine torchvision_tutorial doc for windows

* Update neural_style_tutorial.py (pytorch#1059)

Updated the mistake in the Loading Images Section.

* torch_script_custom_ops restructure (pytorch#1057)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Port custom ops tutorial to new registration API, increase testability.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Kill some other occurrences of RegisterOperators

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update README.md

* Make torch_script_custom_classes tutorial runnable

I also fixed some warnings in the tutorial, and fixed some minor bitrot
(e.g., torch::script::Module to torch::jit::Module)

I also added some missing quotes around some bash expansions.

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Update torch_script_custom_classes to use TORCH_LIBRARY (pytorch#1062)

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Add Model Freezing in TorchScript

Co-authored-by: Edward Z. Yang <ezyang@fb.com>
Co-authored-by: Yang Gu <yangu@microsoft.com>
Co-authored-by: Hritik Bhandari <bhandari.hritik@gmail.com>

Co-authored-by: James Reed <jamesreed@fb.com>
Co-authored-by: Jessica Lin <jplin@fb.com>
Co-authored-by: ilia-cher <30845429+ilia-cher@users.noreply.github.com>
Co-authored-by: Ivan Kobzarev <ivankobzarev@fb.com>
Co-authored-by: Shen Li <shenli@devfair017.maas>
Co-authored-by: Shen Li <cs.shenli@gmail.com>
Co-authored-by: Tao Xu <taox@fb.com>
Co-authored-by: Rohan Varma <rvarm1@fb.com>
Co-authored-by: Edward Z. Yang <ezyang@fb.com>
Co-authored-by: Yang Gu <yangu@microsoft.com>
Co-authored-by: Hritik Bhandari <bhandari.hritik@gmail.com>
Co-authored-by: Pritam Damania <9958665+pritamdamania87@users.noreply.github.com>
Co-authored-by: pritam <pritam.damania@fb.com>
Co-authored-by: supriyar <supriyar@fb.com>
Co-authored-by: Jessica Lin <jlin2700@gmail.com>

advanced_source/torch_script_custom_classes.rst

@@ -356,4 +356,4 @@ As always, if you run into any problems or have questions, you can use our
 `forum <https://discuss.pytorch.org/>`_ or `GitHub issues
 <https://github.com/pytorch/pytorch/issues>`_ to get in touch. Also, our
 `frequently asked questions (FAQ) page
-<https://pytorch.org/cppdocs/notes/faq.html>`_ may have helpful information.
+<https://pytorch.org/cppdocs/notes/faq.html>`_ may have helpful information.

advanced_source/torch_script_custom_classes/custom_class_project/class.cpp

@@ -129,4 +129,4 @@ TORCH_LIBRARY(my_classes, m) {
       manipulate_instance
     );
 // END def_free
-}
+

prototype_source/README.md

@@ -1,4 +1,4 @@
-# Prototype Tutorials
+# Prototype Tutorials and Recipes
 
 This directory contains tutorials and recipes demonstrating prototype features in PyTorch. 
 

recipes_source/recipes_index.rst

@@ -202,4 +202,3 @@ Recipes are bite-sized bite-sized, actionable examples of how to use specific Py
    /recipes/torchscript_inference
    /recipes/deployment_with_flask
    /recipes/distributed_rpc_profiling
-