ayo/ipex-llm
1
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 1

Move in-file toc to yml file except for API related toc (#6273)

Browse source
This commit is contained in:
Yuwen Hu 2022-10-25 11:00:57 +08:00 committed by GitHub
parent 6e32cfc215
commit 89f97fed01
4 changed files with 39 additions and 75 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

36
docs/readthedocs/source/_toc.yml
View file

@ -94,6 +94,23 @@ subtrees:
- file: doc/Nano/QuickStart/tensorflow_quantization_quickstart
- file: doc/Nano/Howto/index
title: "How-to Guides"
subtrees:
- entries:
- file: doc/Nano/Howto/Training/PyTorchLightning/accelerate_pytorch_lightning_training_ipex
- file: doc/Nano/Howto/Training/PyTorchLightning/accelerate_pytorch_lightning_training_multi_instance
- 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/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/PyTorch/accelerate_pytorch_inference_onnx
- file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_openvino
- file: doc/Nano/Howto/Inference/PyTorch/quantize_pytorch_inference_inc
- file: doc/Nano/Howto/Inference/PyTorch/quantize_pytorch_inference_pot
- file: doc/Nano/Howto/Inference/PyTorch/inference_optimizer_optimize
- file: doc/Nano/Howto/install_in_colab
- file: doc/Nano/Howto/windows_guide
- file: doc/Nano/Overview/known_issues
title: "Tips and Known Issues"
- file: doc/PythonAPI/Nano/index
@ -140,8 +157,27 @@ subtrees:
title: "Installation"
- file: doc/Chronos/Overview/deep_dive
title: "Key Features"
subtrees:
- entries:
- file: doc/Chronos/Overview/data_processing_feature_engineering
- file: doc/Chronos/Overview/forecasting
- file: doc/Chronos/Overview/anomaly_detection
- file: doc/Chronos/Overview/simulation
- file: doc/Chronos/Overview/speed_up
- file: doc/Chronos/Overview/useful_functionalities
- file: doc/Chronos/Howto/index
title: "How-to Guides"
subtrees:
- entries:
- file: doc/Chronos/Howto/windows_guide
- file: doc/Chronos/Howto/docker_guide_single_node
- file: doc/Chronos/Howto/how_to_create_forecaster
- file: doc/Chronos/Howto/how_to_train_forecaster_on_one_node
- file: doc/Chronos/Howto/how_to_tune_forecaster_model
- file: doc/Chronos/Howto/how_to_speedup_inference_of_forecaster_through_ONNXRuntime
- file: doc/Chronos/Howto/how_to_speedup_inference_of_forecaster_through_OpenVINO
- file: doc/Chronos/Howto/how_to_evaluate_a_forecaster
- file: doc/Chronos/Howto/how_to_generate_confidence_interval_for_prediction
- file: doc/Chronos/QuickStart/index
title: "Tutorials"
subtrees:

22
docs/readthedocs/source/doc/Chronos/Howto/index.rst
View file

@ -8,13 +8,6 @@ Install
* `Install Chronos on Windows <windows_guide.html>`__
* `Use Chronos in container(docker) <docker_guide_single_node.html>`__
.. toctree::
:maxdepth: 1
:hidden:
windows_guide
docker_guide_single_node
Forecasting
-------------------------
* `Create a forecaster <how_to_create_forecaster.html>`__
@ -23,17 +16,4 @@ Forecasting
* `Speed up inference of forecaster through ONNXRuntime <how_to_speedup_inference_of_forecaster_through_ONNXRuntime.html>`__
* `Speed up inference of forecaster through OpenVINO <how_to_speedup_inference_of_forecaster_through_OpenVINO.html>`__
* `Evaluate a forecaster <how_to_evaluate_a_forecaster.html>`__
* `Generate confidence interval for prediction <how_to_generate_confidence_interval_for_prediction.html>`__
.. toctree::
:maxdepth: 1
:hidden:
how_to_create_forecaster
how_to_train_forecaster_on_one_node
how_to_tune_forecaster_model
how_to_speedup_inference_of_forecaster_through_ONNXRuntime
how_to_speedup_inference_of_forecaster_through_OpenVINO
how_to_evaluate_a_forecaster
how_to_generate_confidence_interval_for_prediction
* `Generate confidence interval for prediction <how_to_generate_confidence_interval_for_prediction.html>`__

13
docs/readthedocs/source/doc/Chronos/Overview/deep_dive.rst
View file

@ -6,15 +6,4 @@ Chronos Deep Dive
* `Time Series Anomaly Detection <anomaly_detection.html>`__ introduces how to build a anomaly detection application.
* `Generate Synthetic Sequential Data <simulation.html>`__ introduces how to build a series data generation application.
* `Speed up Chronos built-in/customized models <speed_up.html>`__ introduces how to speed up chronos built-in models/customized time-series models
* `Useful Functionalities <useful_functionalities.html>`__ introduces some functionalities provided by Chronos that can help you improve accuracy/performance or scale the application to a larger data.
.. toctree::
:maxdepth: 1
:hidden:
data_processing_feature_engineering.md
forecasting.md
anomaly_detection.md
simulation.md
speed_up.md
useful_functionalities.md
* `Useful Functionalities <useful_functionalities.html>`__ introduces some functionalities provided by Chronos that can help you improve accuracy/performance or scale the application to a larger data.

43
docs/readthedocs/source/doc/Nano/Howto/index.rst
View file

@ -16,16 +16,6 @@ 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>`_
.. toctree::
:maxdepth: 1
:hidden:
Training/PyTorchLightning/accelerate_pytorch_lightning_training_ipex
Training/PyTorchLightning/accelerate_pytorch_lightning_training_multi_instance
Training/PyTorchLightning/pytorch_lightning_training_channels_last
Training/PyTorchLightning/pytorch_lightning_training_bf16
Training/PyTorchLightning/pytorch_lightning_cv_data_pipeline
TensorFlow
~~~~~~~~~~~~~~~~~~~~~~~~~
* `How to accelerate a TensorFlow Keras application on training workloads through multiple instances <Training/TensorFlow/accelerate_tensorflow_training_multi_instance.html>`_
@ -34,24 +24,10 @@ TensorFlow
.. |tensorflow_training_embedding_sparseadam_link| replace:: How to optimize your model with a sparse ``Embedding`` layer and ``SparseAdam`` optimizer
.. _tensorflow_training_embedding_sparseadam_link: Training/TensorFlow/tensorflow_training_embedding_sparseadam.html
.. toctree::
:maxdepth: 1
:hidden:
Training/TensorFlow/accelerate_tensorflow_training_multi_instance
Training/TensorFlow/tensorflow_training_embedding_sparseadam
General
~~~~~~~~~~~~~~~~~~~~~~~~~
* `How to choose the number of processes for multi-instance training <Training/General/choose_num_processes_training.html>`_
.. toctree::
:maxdepth: 1
:hidden:
Training/General/choose_num_processes_training
Inference Optimization
-------------------------
@ -64,24 +40,7 @@ PyTorch
* `How to quantize your PyTorch model for inference using OpenVINO Post-training Optimization Tools <Inference/PyTorch/quantize_pytorch_inference_pot.html>`_
* `How to find accelerated method with minimal latency using InferenceOptimizer <Inference/PyTorch/inference_optimizer_optimize.html>`_
.. toctree::
:maxdepth: 1
:hidden:
Inference/PyTorch/accelerate_pytorch_inference_onnx
Inference/PyTorch/accelerate_pytorch_inference_openvino
Inference/PyTorch/quantize_pytorch_inference_inc
Inference/PyTorch/quantize_pytorch_inference_pot
Inference/PyTorch/inference_optimizer_optimize
Install
-------------------------
* `How to install BigDL-Nano in Google Colab <install_in_colab.html>`_
* `How to install BigDL-Nano on Windows <windows_guide.html>`_
.. toctree::
:maxdepth: 1
:hidden:
install_in_colab
windows_guide
* `How to install BigDL-Nano on Windows <windows_guide.html>`_