362 lines
17 KiB
YAML
362 lines
17 KiB
YAML
root: index
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/UserGuide/index
|
|
title: 'User guide'
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/UserGuide/python
|
|
- file: doc/UserGuide/scala
|
|
- file: doc/UserGuide/win
|
|
- file: doc/UserGuide/docker
|
|
- file: doc/UserGuide/colab
|
|
- file: doc/UserGuide/hadoop
|
|
- file: doc/UserGuide/k8s
|
|
- file: doc/UserGuide/databricks
|
|
|
|
|
|
- entries:
|
|
- file: doc/Application/powered-by
|
|
title: "Powered by"
|
|
|
|
|
|
- entries:
|
|
- file: doc/Orca/index
|
|
title: "Orca"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Orca/Overview/orca
|
|
title: "Orca in 5 minutes"
|
|
- file: doc/Orca/Overview/install
|
|
title: "Installation"
|
|
- file: doc/Orca/Overview/index
|
|
title: "Key Features"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Orca/Overview/orca-context
|
|
- file: doc/Orca/Overview/data-parallel-processing
|
|
- file: doc/Orca/Overview/distributed-training-inference
|
|
- file: doc/Orca/Overview/distributed-tuning
|
|
- file: doc/Orca/Overview/ray
|
|
- file: doc/Orca/Howto/index
|
|
title: "How-to Guides"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Orca/Howto/tf2keras-quickstart
|
|
- file: doc/Orca/Howto/pytorch-quickstart
|
|
- file: doc/Orca/Howto/ray-quickstart
|
|
- file: doc/Orca/Howto/spark-dataframe
|
|
- file: doc/Orca/Howto/xshards-pandas
|
|
- file: doc/Orca/Howto/autoestimator-pytorch-quickstart
|
|
- file: doc/Orca/Howto/autoxgboost-quickstart
|
|
- file: doc/Orca/Howto/tf1-quickstart
|
|
- file: doc/Orca/Howto/tf1keras-quickstart
|
|
- file: doc/Orca/Tutorial/index
|
|
title: "Tutorials"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Orca/Tutorial/yarn
|
|
- file: doc/Orca/Tutorial/k8s
|
|
- file: doc/Orca/Overview/known_issues
|
|
title: "Tips and Known Issues"
|
|
- file: doc/PythonAPI/Orca/index
|
|
title: "API Reference"
|
|
|
|
|
|
|
|
- entries:
|
|
- file: doc/Nano/index
|
|
title: "Nano"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Overview/nano
|
|
title: "Nano in 5 minutes"
|
|
- file: doc/Nano/Overview/install
|
|
title: "Installation"
|
|
- file: doc/Nano/Overview/index
|
|
title: "Key Features"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Overview/pytorch_train
|
|
- file: doc/Nano/Overview/pytorch_inference
|
|
- file: doc/Nano/Overview/pytorch_cuda_patch
|
|
- file: doc/Nano/Overview/tensorflow_train
|
|
- file: doc/Nano/Overview/tensorflow_inference
|
|
- file: doc/Nano/Overview/hpo
|
|
- file: doc/Nano/QuickStart/index
|
|
title: "Tutorials"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/QuickStart/pytorch_train_quickstart
|
|
- file: doc/Nano/QuickStart/pytorch_nano
|
|
- file: doc/Nano/QuickStart/pytorch_onnxruntime
|
|
- file: doc/Nano/QuickStart/pytorch_openvino
|
|
- file: doc/Nano/QuickStart/pytorch_quantization_inc_onnx
|
|
- file: doc/Nano/QuickStart/pytorch_quantization_inc
|
|
- file: doc/Nano/QuickStart/pytorch_quantization_openvino
|
|
- file: doc/Nano/QuickStart/tensorflow_train_quickstart
|
|
- file: doc/Nano/QuickStart/tensorflow_embedding
|
|
- file: doc/Nano/QuickStart/tensorflow_quantization_quickstart
|
|
- file: doc/Nano/Howto/index
|
|
title: "How-to Guides"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Preprocessing/index
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Preprocessing/PyTorch/index
|
|
title: "PyTorch"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Preprocessing/PyTorch/accelerate_pytorch_cv_data_pipeline
|
|
- file: doc/Nano/Howto/Training/index
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Training/PyTorchLightning/index
|
|
title: "PyTorch Lightning"
|
|
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/PyTorch/index
|
|
title: "PyTorch"
|
|
subtrees:
|
|
- entries:
|
|
- 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/PyTorch/accelerate_pytorch_training_ipex
|
|
- file: doc/Nano/Howto/Training/PyTorch/accelerate_pytorch_training_multi_instance
|
|
- file: doc/Nano/Howto/Training/PyTorch/pytorch_training_channels_last
|
|
- file: doc/Nano/Howto/Training/PyTorch/accelerate_pytorch_training_bf16
|
|
- file: doc/Nano/Howto/Training/TensorFlow/index
|
|
title: "TensorFlow"
|
|
subtrees:
|
|
- entries:
|
|
- 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/TensorFlow/tensorflow_training_bf16
|
|
- file: doc/Nano/Howto/Training/General/index
|
|
title: "General"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Training/General/choose_num_processes_training
|
|
- file: doc/Nano/Howto/Inference/index
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Inference/OpenVINO/index
|
|
title: "OpenVINO"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference
|
|
- file: doc/Nano/Howto/Inference/OpenVINO/openvino_inference_async
|
|
- file: doc/Nano/Howto/Inference/OpenVINO/accelerate_inference_openvino_gpu
|
|
- file: doc/Nano/Howto/Inference/PyTorch/index
|
|
title: "PyTorch"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Inference/PyTorch/inference_optimizer_optimize
|
|
- 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
|
|
- 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/pytorch_context_manager
|
|
- file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_ipex
|
|
- file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_jit
|
|
- file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_onnx
|
|
- file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_openvino
|
|
- file: doc/Nano/Howto/Inference/PyTorch/multi_instance_pytorch_inference
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/index
|
|
title: "TensorFlow"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/accelerate_tensorflow_inference_onnx
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/accelerate_tensorflow_inference_openvino
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_inference_bf16
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_save_and_load_onnx
|
|
- file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_save_and_load_openvino
|
|
- file: doc/Nano/Howto/Install/index
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Nano/Howto/Install/install_in_colab
|
|
- file: doc/Nano/Howto/Install/windows_guide
|
|
- file: doc/Nano/Overview/known_issues
|
|
title: "Tips and Known Issues"
|
|
- file: doc/Nano/Overview/troubshooting
|
|
title: "Troubleshooting Guide"
|
|
- file: doc/Nano/Overview/support
|
|
title: "OS Support"
|
|
- file: doc/PythonAPI/Nano/index
|
|
title: "API Reference"
|
|
|
|
|
|
|
|
- entries:
|
|
- file: doc/DLlib/index
|
|
title: "DLlib"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/DLlib/Overview/dllib
|
|
title: "DLLib in 5 minutes"
|
|
- file: doc/DLlib/Overview/install
|
|
title: "Installation"
|
|
- file: doc/DLlib/Overview/index
|
|
title: "Key Features"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/DLlib/Overview/keras-api
|
|
- file: doc/DLlib/Overview/nnframes
|
|
- file: doc/DLlib/Overview/visualization
|
|
title: "Visualization"
|
|
- file: doc/DLlib/QuickStart/index
|
|
title: "Tutorials"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/DLlib/QuickStart/python-getting-started
|
|
title: "Python Quick Start"
|
|
- file: doc/DLlib/QuickStart/scala-getting-started
|
|
title: "Scala Quick Start"
|
|
- file: doc/PythonAPI/DLlib/index
|
|
title: "API Reference"
|
|
|
|
- entries:
|
|
- file: doc/Chronos/index
|
|
title: "Chronos"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Chronos/Overview/quick-tour
|
|
title: "Chronos in 5 minutes"
|
|
- file: doc/Chronos/Overview/install
|
|
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/aiops
|
|
- 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_use_benchmark_tool
|
|
- 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_save_and_load_forecaster
|
|
- 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_use_forecaster_to_predict_future_data
|
|
- file: doc/Chronos/Howto/how_to_optimize_a_forecaster
|
|
- file: doc/Chronos/Howto/how_to_generate_confidence_interval_for_prediction
|
|
- file: doc/Chronos/Howto/how_to_export_onnx_files
|
|
- file: doc/Chronos/Howto/how_to_export_openvino_files
|
|
- file: doc/Chronos/Howto/how_to_export_torchscript_files
|
|
- file: doc/Chronos/Howto/how_to_preprocess_my_data
|
|
- file: doc/Chronos/Howto/how_to_process_data_in_production_environment
|
|
- file: doc/Chronos/Howto/how_to_choose_forecasting_alg
|
|
- file: doc/Chronos/Howto/how_to_export_data_processing_pipeline_to_torchscript
|
|
- file: doc/Chronos/QuickStart/index
|
|
title: "Tutorials"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Chronos/QuickStart/chronos-tsdataset-forecaster-quickstart
|
|
- file: doc/Chronos/QuickStart/chronos-autotsest-quickstart
|
|
- file: doc/Chronos/QuickStart/chronos-anomaly-detector
|
|
- file: doc/Chronos/Overview/chronos_known_issue
|
|
title: "Tips and Known Issues"
|
|
- file: doc/PythonAPI/Chronos/index
|
|
title: "API Reference"
|
|
|
|
- entries:
|
|
- file: doc/Friesian/index
|
|
title: "Friesian"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Friesian/intro
|
|
title: "Introduction"
|
|
- file: doc/Friesian/serving
|
|
title: "Serving"
|
|
- file: doc/Friesian/examples
|
|
title: "Use Cases"
|
|
- file: doc/PythonAPI/Friesian/index
|
|
title: "API Reference"
|
|
|
|
- entries:
|
|
- file: doc/PPML/index
|
|
title: "PPML"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/PPML/Overview/intro
|
|
title: "PPML Introduction"
|
|
- file: doc/PPML/Overview/install
|
|
title: 'Installation'
|
|
- file: doc/PPML/Overview/examples
|
|
title: "Tutorials"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/PPML/Overview/quicktour
|
|
- file: doc/PPML/QuickStart/end-to-end
|
|
- file: doc/PPML/Overview/devguide
|
|
- file: doc/PPML/Overview/azure_ppml
|
|
- file: doc/PPML/Overview/ali_ecs_occlum_cn
|
|
- file: doc/PPML/Overview/misc
|
|
title: "Advanced Topics"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/PPML/Overview/ppml
|
|
- file: doc/PPML/Overview/attestation_basic
|
|
- file: doc/PPML/Overview/trusted_big_data_analytics_and_ml
|
|
- file: doc/PPML/Overview/trusted_fl
|
|
- file: doc/PPML/QuickStart/secure_your_services
|
|
- file: doc/PPML/QuickStart/deploy_ppml_in_production
|
|
- file: doc/PPML/QuickStart/install_sgx_driver
|
|
- file: doc/PPML/QuickStart/deploy_intel_sgx_device_plugin_for_kubernetes
|
|
- file: doc/PPML/QuickStart/trusted-serving-on-k8s-guide
|
|
- file: doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s
|
|
- file: doc/PPML/QuickStart/tpc-ds_with_sparksql_on_k8s
|
|
- file: doc/PPML/Overview/azure_ppml_occlum
|
|
|
|
- entries:
|
|
- file: doc/UserGuide/contributor
|
|
title: "Contributor guide"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/UserGuide/develop
|
|
- file: doc/UserGuide/documentation
|
|
|
|
|
|
|
|
- entries:
|
|
- file: doc/Serving/index
|
|
title: "Cluster serving"
|
|
subtrees:
|
|
- entries:
|
|
- file: doc/Serving/Overview/serving.md
|
|
title: "User Guide"
|
|
- file: doc/Serving/QuickStart/serving-quickstart
|
|
title: "Serving in 5 miniutes"
|
|
- file: doc/Serving/ProgrammingGuide/serving-installation
|
|
- file: doc/Serving/ProgrammingGuide/serving-start
|
|
- file: doc/Serving/ProgrammingGuide/serving-inference
|
|
- file: doc/Serving/Example/example
|
|
title: "Examples"
|
|
- file: doc/Serving/FAQ/faq
|
|
- file: doc/Serving/FAQ/contribute-guide
|
|
|
|
|
|
- entries:
|
|
- file: doc/Application/presentations
|
|
title: "Presentations"
|
|
|
|
- entries:
|
|
- file: doc/Application/blogs
|