[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
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4 changed files with 20 additions and 7 deletions
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@ -109,9 +109,13 @@ subtrees:
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- file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_training_channels_last
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- file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_training_bf16
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- file: doc/Nano/Howto/Training/PyTorchLightning/pytorch_lightning_cv_data_pipeline
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- file: doc/Nano/Howto/Training/PyTorch/convert_pytorch_training_torchnano
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- file: doc/Nano/Howto/Training/PyTorch/use_nano_decorator_pytorch_training
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- file: doc/Nano/Howto/Training/TensorFlow/accelerate_tensorflow_training_multi_instance
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- file: doc/Nano/Howto/Training/TensorFlow/tensorflow_training_embedding_sparseadam
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- file: doc/Nano/Howto/Training/General/choose_num_processes_training
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- file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference
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- file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference_async
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- file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_onnx
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- file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_openvino
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- file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_jit_ipex
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@ -0,0 +1,3 @@
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{
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"path": "../../../../../../../../python/nano/tutorial/notebook/training/pytorch/convert_pytorch_training_torchnano.ipynb"
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}
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@ -0,0 +1,3 @@
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{
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"path": "../../../../../../../../python/nano/tutorial/notebook/training/pytorch/use_nano_decorator_pytorch_training.ipynb"
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}
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@ -16,6 +16,16 @@ PyTorch Lightning
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* `How to conduct BFloat16 Mixed Precision training in your PyTorch Lightning application <Training/PyTorchLightning/pytorch_lightning_training_bf16.html>`_
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* `How to accelerate a computer vision data processing pipeline <Training/PyTorchLightning/pytorch_lightning_cv_data_pipeline.html>`_
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PyTorch
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~~~~~~~~~~~~~~~~~~~~~~~~~
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* |convert_pytorch_training_torchnano|_
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* |use_nano_decorator_pytorch_training|_
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.. |use_nano_decorator_pytorch_training| replace:: How to accelerate your PyTorch training loop with ``@nano`` decorator
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.. _use_nano_decorator_pytorch_training: Training/PyTorch/use_nano_decorator_pytorch_training.html
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.. |convert_pytorch_training_torchnano| replace:: How to convert your PyTorch training loop to use ``TorchNano`` for acceleration
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.. _convert_pytorch_training_torchnano: Training/PyTorch/convert_pytorch_training_torchnano.html
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TensorFlow
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~~~~~~~~~~~~~~~~~~~~~~~~~
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* `How to accelerate a TensorFlow Keras application on training workloads through multiple instances <Training/TensorFlow/accelerate_tensorflow_training_multi_instance.html>`_
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@ -37,13 +47,6 @@ OpenVINO
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* `How to run inference on OpenVINO model <Inference/OpenVINO/openvino_inference.html>`_
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* `How to run asynchronous inference on OpenVINO model <Inference/OpenVINO/openvino_inference_async.html>`_
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.. toctree::
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:maxdepth: 1
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:hidden:
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Inference/OpenVINO/openvino_inference
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Inference/OpenVINO/openvino_inference_async
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PyTorch
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~~~~~~~~~~~~~~~~~~~~~~~~~
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