[Nano] How-To Guides: Convert to TorchNano & use @nano decorator (#5984)

* Add how to guide: How to convert your PyTorch code to use TorchNano for training acceleration

* Small nano how-to index format update for openvino inference

* Update based on comments

* Updated based on comments

* Add how-to guide: How to wrap a PyTorch training loop through @nano decorator

* Add reference to TorchNano guide in @nano guide

* Some small fixes and updates

* Small typo fix: bulit -> built

* Updates based on comments

* Remove validation dataloader based on comments

* Order change of two guides

* Update based on comments

docs/readthedocs/source/_toc.yml

@@ -109,9 +109,13 @@ subtrees:
                   - file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_training_channels_last
                   - file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_training_bf16
                   - file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_cv_data_pipeline
+                  - file: doc/Nano/Howto/Training/PyTorch/convert_pytorch_training_torchnano
+                  - file: doc/Nano/Howto/Training/PyTorch/use_nano_decorator_pytorch_training
                   - file: doc/Nano/Howto/Training/TensorFlow/accelerate_tensorflow_training_multi_instance
                   - file: doc/Nano/Howto/Training/TensorFlow/tensorflow_training_embedding_sparseadam
                   - file: doc/Nano/Howto/Training/General/choose_num_processes_training
+                  - file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference
+                  - file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference_async
                   - file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_onnx
                   - file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_openvino
                   - file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_jit_ipex

docs/readthedocs/source/doc/Nano/Howto/Training/PyTorch/convert_pytorch_training_torchnano.nblink

@@ -0,0 +1,3 @@
+{
+    "path": "../../../../../../../../python/nano/tutorial/notebook/training/pytorch/convert_pytorch_training_torchnano.ipynb"
+}

docs/readthedocs/source/doc/Nano/Howto/Training/PyTorch/use_nano_decorator_pytorch_training.nblink

@@ -0,0 +1,3 @@
+{
+    "path": "../../../../../../../../python/nano/tutorial/notebook/training/pytorch/use_nano_decorator_pytorch_training.ipynb"
+}

docs/readthedocs/source/doc/Nano/Howto/index.rst

@@ -16,6 +16,16 @@ PyTorch Lightning
 * `How to conduct BFloat16 Mixed Precision training in your PyTorch Lightning application <Training/PyTorchLightning/pytorch_lightning_training_bf16.html>`_
 * `How to accelerate a computer vision data processing pipeline <Training/PyTorchLightning/pytorch_lightning_cv_data_pipeline.html>`_
 
+PyTorch
+~~~~~~~~~~~~~~~~~~~~~~~~~
+* |convert_pytorch_training_torchnano|_
+* |use_nano_decorator_pytorch_training|_
+
+.. |use_nano_decorator_pytorch_training| replace:: How to accelerate your PyTorch training loop with ``@nano`` decorator
+.. _use_nano_decorator_pytorch_training: Training/PyTorch/use_nano_decorator_pytorch_training.html
+.. |convert_pytorch_training_torchnano| replace:: How to convert your PyTorch training loop to use ``TorchNano`` for acceleration
+.. _convert_pytorch_training_torchnano: Training/PyTorch/convert_pytorch_training_torchnano.html
+
 TensorFlow
 ~~~~~~~~~~~~~~~~~~~~~~~~~
 * `How to accelerate a TensorFlow Keras application on training workloads through multiple instances <Training/TensorFlow/accelerate_tensorflow_training_multi_instance.html>`_
@@ -37,13 +47,6 @@ OpenVINO
 * `How to run inference on OpenVINO model <Inference/OpenVINO/openvino_inference.html>`_
 * `How to run asynchronous inference on OpenVINO model <Inference/OpenVINO/openvino_inference_async.html>`_
 
-.. toctree::
-    :maxdepth: 1
-    :hidden:
-
-    Inference/OpenVINO/openvino_inference
-    Inference/OpenVINO/openvino_inference_async
-
 PyTorch
 ~~~~~~~~~~~~~~~~~~~~~~~~~