[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
This commit is contained in:
Yuwen Hu 2022-12-26 15:36:53 +08:00 committed by GitHub
parent 3e040d7b28
commit 37b0c6fa50
4 changed files with 20 additions and 7 deletions

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@ -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

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

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

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@ -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
~~~~~~~~~~~~~~~~~~~~~~~~~