Add Graph Mode Dynamic Quant tutorial (#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 <[email protected]>

* 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 (#1059)

Updated the mistake in the Loading Images Section.

* torch_script_custom_ops restructure (#1057)

Signed-off-by: Edward Z. Yang <[email protected]>

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

Signed-off-by: Edward Z. Yang <[email protected]>

* Kill some other occurrences of RegisterOperators

Signed-off-by: Edward Z. Yang <[email protected]>

* 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 <[email protected]>

* Update torch_script_custom_classes to use TORCH_LIBRARY (#1062)

Signed-off-by: Edward Z. Yang <[email protected]>

* 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 <[email protected]>
Co-authored-by: Edward Z. Yang <[email protected]>
Co-authored-by: Yang Gu <[email protected]>
Co-authored-by: Hritik Bhandari <[email protected]>

Author: 5 people

prototype_source/README.txt

@@ -1,6 +1,5 @@
 Prototype Tutorials
 ------------------
-
 1. distributed_rpc_profiling.rst
      Profiling PyTorch RPC-Based Workloads
-     https://github.com/pytorch/tutorials/blob/release/1.6/prototype_source/distributed_rpc_profiling.rst
+     https://github.com/pytorch/tutorials/blob/release/1.6/prototype_source/distributed_rpc_profiling.rst