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			410 lines
		
	
	
	
		
			19 KiB
		
	
	
	
		
			YAML
		
	
	
	
	
	
root: index
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subtrees:
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    - file: doc/UserGuide/index
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      title: 'User guide'
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      subtrees:
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          - file: doc/UserGuide/python
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          - file: doc/UserGuide/scala
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          - file: doc/UserGuide/win
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          - file: doc/UserGuide/docker
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          - file: doc/UserGuide/colab
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          - file: doc/UserGuide/hadoop
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          - file: doc/UserGuide/k8s
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          - file: doc/UserGuide/databricks
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  - entries:
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    - file: doc/Application/powered-by
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      title: "Powered by"
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  - entries:
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    - file: doc/LLM/index
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      title: "LLM"
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      subtrees:
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        - entries:
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          - file: doc/LLM/Overview/llm
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            title: "LLM in 5 minutes"
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          - file: doc/LLM/Overview/install
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            title: "Installation"
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            subtrees:
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              - entries:
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                - file: doc/LLM/Overview/install_cpu
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                  title: "CPU"
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                - file: doc/LLM/Overview/install_gpu
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                  title: "GPU"
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          - file: doc/LLM/Overview/KeyFeatures/index
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            title: "Key Features"
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            subtrees:
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              - entries:
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                - file: doc/LLM/Overview/KeyFeatures/optimize_model
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                - file: doc/LLM/Overview/KeyFeatures/transformers_style_api
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                  subtrees:
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                      - file: doc/LLM/Overview/KeyFeatures/hugging_face_format
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                      - file: doc/LLM/Overview/KeyFeatures/native_format
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                - file: doc/LLM/Overview/KeyFeatures/langchain_api
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                # - file: doc/LLM/Overview/KeyFeatures/cli
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                - file: doc/LLM/Overview/KeyFeatures/gpu_supports
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                  subtrees:
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                      - file: doc/LLM/Overview/KeyFeatures/inference_on_gpu
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                      - file: doc/LLM/Overview/KeyFeatures/finetune
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          - file: doc/LLM/Overview/examples
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            title: "Examples"
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            subtrees:
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              - entries:
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                - file: doc/LLM/Overview/examples_cpu
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                  title: "CPU"
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                - file: doc/LLM/Overview/examples_gpu
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                  title: "GPU"
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          # - file: doc/LLM/Overview/known_issues
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          #   title: "Tips and Known Issues"
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          - file: doc/PythonAPI/LLM/index
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            title: "API Reference"
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  - entries:
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    - file: doc/Orca/index
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      title: "Orca"
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      subtrees:
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        - entries:
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          - file: doc/Orca/Overview/orca
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            title: "Orca in 5 minutes"
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          - file: doc/Orca/Overview/install
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            title: "Installation"
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          - file: doc/Orca/Overview/index
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            title: "Key Features"
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            subtrees:
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              - entries:
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                - file: doc/Orca/Overview/orca-context
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                - file: doc/Orca/Overview/data-parallel-processing
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                - file: doc/Orca/Overview/distributed-training-inference
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                - file: doc/Orca/Overview/distributed-tuning
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                - file: doc/Orca/Overview/ray
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          - file: doc/Orca/Howto/index
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            title: "How-to Guides"
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            subtrees:
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              - entries:
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                - file: doc/Orca/Howto/tf2keras-quickstart
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                - file: doc/Orca/Howto/pytorch-quickstart
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                - file: doc/Orca/Howto/ray-quickstart
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                - file: doc/Orca/Howto/spark-dataframe
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                - file: doc/Orca/Howto/xshards-pandas
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                - file: doc/Orca/Howto/autoestimator-pytorch-quickstart
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                - file: doc/Orca/Howto/autoxgboost-quickstart
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                - file: doc/Orca/Howto/tf1-quickstart
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                - file: doc/Orca/Howto/tf1keras-quickstart
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          - file: doc/Orca/Tutorial/index
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            title: "Tutorials"
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            subtrees:
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              - entries:
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                - file: doc/Orca/Tutorial/yarn
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                - file: doc/Orca/Tutorial/k8s
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          - file: doc/Orca/Overview/known_issues
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            title: "Tips and Known Issues"
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          - file: doc/PythonAPI/Orca/index
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            title: "API Reference"
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  - entries:
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      - file: doc/Nano/index
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        title: "Nano"
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        subtrees:
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          - entries:
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            - file: doc/Nano/Overview/nano
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              title: "Nano in 5 minutes"
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            - file: doc/Nano/Overview/install
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              title: "Installation"
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            - file: doc/Nano/Overview/index
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              title: "Key Features"
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              subtrees:
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                - entries:
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                  - file: doc/Nano/Overview/pytorch_train
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                  - file: doc/Nano/Overview/pytorch_inference
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                  - file: doc/Nano/Overview/pytorch_cuda_patch
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                  - file: doc/Nano/Overview/tensorflow_train
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                  - file: doc/Nano/Overview/tensorflow_inference
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                  - file: doc/Nano/Overview/hpo
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            - file: doc/Nano/QuickStart/index
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              title: "Tutorials"
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              subtrees:
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                - entries:
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                  - file: doc/Nano/QuickStart/pytorch_train_quickstart
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                  - file: doc/Nano/QuickStart/pytorch_nano
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                  - file: doc/Nano/QuickStart/pytorch_onnxruntime
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                  - file: doc/Nano/QuickStart/pytorch_openvino
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                  - file: doc/Nano/QuickStart/pytorch_quantization_inc_onnx
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                  - file: doc/Nano/QuickStart/pytorch_quantization_inc
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                  - file: doc/Nano/QuickStart/pytorch_quantization_openvino
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                  - file: doc/Nano/QuickStart/tensorflow_train_quickstart
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                  - file: doc/Nano/QuickStart/tensorflow_embedding
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                  - file: doc/Nano/QuickStart/tensorflow_quantization_quickstart
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            - file: doc/Nano/Howto/index
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              title: "How-to Guides"
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              subtrees:
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                - entries:
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                  - file: doc/Nano/Howto/Preprocessing/index
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                    subtrees:
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                      - entries:
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                        - file: doc/Nano/Howto/Preprocessing/PyTorch/index
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                          title: "PyTorch"
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                          subtrees:
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                            - entries:      
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                              - file: doc/Nano/Howto/Preprocessing/PyTorch/accelerate_pytorch_cv_data_pipeline
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                  - file: doc/Nano/Howto/Training/index
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                    subtrees:
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                      - entries:
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                        - file: doc/Nano/Howto/Training/PyTorchLightning/index
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                          title: "PyTorch Lightning"
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                          subtrees:
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                            - entries:
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                              - file: doc/Nano/Howto/Training/PyTorchLightning/accelerate_pytorch_lightning_training_ipex
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                              - file: doc/Nano/Howto/Training/PyTorchLightning/accelerate_pytorch_lightning_training_multi_instance
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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/PyTorch/index
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                          title: "PyTorch"
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                          subtrees:
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                            - entries:
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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/PyTorch/accelerate_pytorch_training_ipex
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                              - file: doc/Nano/Howto/Training/PyTorch/accelerate_pytorch_training_multi_instance
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                              - file: doc/Nano/Howto/Training/PyTorch/pytorch_training_channels_last
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                              - file: doc/Nano/Howto/Training/PyTorch/accelerate_pytorch_training_bf16
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                        - file: doc/Nano/Howto/Training/TensorFlow/index
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                          title: "TensorFlow"
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                          subtrees:
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                            - entries:
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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/TensorFlow/tensorflow_training_bf16
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                              - file: doc/Nano/Howto/Training/TensorFlow/tensorflow_custom_training_multi_instance
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                        - file: doc/Nano/Howto/Training/General/index
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                          title: "General"
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                          subtrees:
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                            - entries:
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                              - file: doc/Nano/Howto/Training/General/choose_num_processes_training
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                  - file: doc/Nano/Howto/Inference/index
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                    subtrees:
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                      - entries:
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                        - file: doc/Nano/Howto/Inference/OpenVINO/index
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                          title: "OpenVINO"
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                          subtrees:
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                            - entries:    
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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/OpenVINO/accelerate_inference_openvino_gpu
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                        - file: doc/Nano/Howto/Inference/PyTorch/index
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                          title: "PyTorch"
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                          subtrees:
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                              - file: doc/Nano/Howto/Inference/PyTorch/inference_optimizer_optimize
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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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                              - file: doc/Nano/Howto/Inference/PyTorch/quantize_pytorch_inference_inc
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                              - file: doc/Nano/Howto/Inference/PyTorch/quantize_pytorch_inference_pot
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                              - file: doc/Nano/Howto/Inference/PyTorch/pytorch_context_manager
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                              - file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_ipex
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                              - file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_jit
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                              - file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_onnx
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                              - file: doc/Nano/Howto/Inference/PyTorch/pytorch_save_and_load_openvino
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                              - file: doc/Nano/Howto/Inference/PyTorch/multi_instance_pytorch_inference
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                              - file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_gpu
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                              - file: doc/Nano/Howto/Inference/PyTorch/accelerate_pytorch_inference_async_pipeline
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                        - file: doc/Nano/Howto/Inference/TensorFlow/index
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                          title: "TensorFlow"
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                          subtrees:
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                            - entries: 
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                              - file: doc/Nano/Howto/Inference/TensorFlow/accelerate_tensorflow_inference_onnx
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                              - file: doc/Nano/Howto/Inference/TensorFlow/accelerate_tensorflow_inference_openvino
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                              - file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_inference_bf16
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                              - file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_save_and_load_onnx
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                              - file: doc/Nano/Howto/Inference/TensorFlow/tensorflow_save_and_load_openvino
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                  - file: doc/Nano/Howto/Install/index
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                    subtrees:
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                      - entries:
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                        - file: doc/Nano/Howto/Install/install_in_colab
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                        - file: doc/Nano/Howto/Install/windows_guide
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            - file: doc/Nano/Overview/known_issues
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              title: "Tips and Known Issues"
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            - file: doc/Nano/Overview/troubshooting
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              title: "Troubleshooting Guide"
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            - file: doc/Nano/Overview/support
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              title: "OS Support"
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            - file: doc/PythonAPI/Nano/index
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              title: "API Reference"
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  - entries:
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    - file: doc/DLlib/index
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      title: "DLlib"
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      subtrees:
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        - entries:
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          - file: doc/DLlib/Overview/dllib
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            title: "DLLib in 5 minutes"
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          - file: doc/DLlib/Overview/install
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            title: "Installation"
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          - file: doc/DLlib/Overview/index
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            title: "Key Features"
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            subtrees:
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              - entries:
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                - file: doc/DLlib/Overview/keras-api
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                - file: doc/DLlib/Overview/nnframes
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                - file: doc/DLlib/Overview/visualization
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                  title: "Visualization"
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          - file: doc/DLlib/QuickStart/index
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            title: "Tutorials"
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            subtrees:
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              - entries:
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                - file: doc/DLlib/QuickStart/python-getting-started
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                  title: "Python Quick Start"
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                - file: doc/DLlib/QuickStart/scala-getting-started
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                  title: "Scala Quick Start"
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          - file: doc/PythonAPI/DLlib/index
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            title: "API Reference"
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  - entries:
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    - file: doc/Chronos/index
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      title: "Chronos"
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      subtrees:
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          - file: doc/Chronos/Overview/quick-tour
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            title: "Chronos in 5 minutes"
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          - file: doc/Chronos/Overview/install
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            title: "Installation"
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          - file: doc/Chronos/Overview/deep_dive
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            title: "Key Features"
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                - file: doc/Chronos/Overview/data_processing_feature_engineering
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                - file: doc/Chronos/Overview/forecasting
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                - file: doc/Chronos/Overview/anomaly_detection
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                - file: doc/Chronos/Overview/simulation
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                - file: doc/Chronos/Overview/aiops
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                - file: doc/Chronos/Overview/speed_up
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                - file: doc/Chronos/Overview/useful_functionalities
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          - file: doc/Chronos/Howto/index
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            title: "How-to Guides"
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            subtrees:
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              - entries:
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                - file: doc/Chronos/Howto/windows_guide
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                - file: doc/Chronos/Howto/docker_guide_single_node
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                - file: doc/Chronos/Howto/how_to_use_benchmark_tool
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                - file: doc/Chronos/Howto/how_to_create_forecaster
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                - file: doc/Chronos/Howto/how_to_train_forecaster_on_one_node
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                - file: doc/Chronos/Howto/how_to_save_and_load_forecaster
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                - file: doc/Chronos/Howto/how_to_tune_forecaster_model
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                - file: doc/Chronos/Howto/how_to_speedup_inference_of_forecaster_through_ONNXRuntime
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                - file: doc/Chronos/Howto/how_to_speedup_inference_of_forecaster_through_OpenVINO
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                - file: doc/Chronos/Howto/how_to_evaluate_a_forecaster
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                - file: doc/Chronos/Howto/how_to_use_forecaster_to_predict_future_data
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                - file: doc/Chronos/Howto/how_to_optimize_a_forecaster
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                - file: doc/Chronos/Howto/how_to_generate_confidence_interval_for_prediction
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                - file: doc/Chronos/Howto/how_to_export_onnx_files
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                - file: doc/Chronos/Howto/how_to_export_openvino_files
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                - file: doc/Chronos/Howto/how_to_export_torchscript_files
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                - file: doc/Chronos/Howto/how_to_preprocess_my_data
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                - file: doc/Chronos/Howto/how_to_process_data_in_production_environment
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                - file: doc/Chronos/Howto/how_to_choose_forecasting_alg
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                - file: doc/Chronos/Howto/how_to_export_data_processing_pipeline_to_torchscript
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          - file: doc/Chronos/QuickStart/index
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            title: "Tutorials"
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                - file: doc/Chronos/QuickStart/chronos-tsdataset-forecaster-quickstart
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                - file: doc/Chronos/QuickStart/chronos-autotsest-quickstart
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                - file: doc/Chronos/QuickStart/chronos-anomaly-detector
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          - file: doc/Chronos/Overview/chronos_known_issue
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            title: "Tips and Known Issues"
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          - file: doc/PythonAPI/Chronos/index
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            title: "API Reference"
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  - entries:
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    - file: doc/Friesian/index
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      title: "Friesian"
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      subtrees:
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        - entries:
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          - file: doc/Friesian/intro
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            title: "Introduction"
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          - file: doc/Friesian/serving
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            title: "Serving"
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          - file: doc/Friesian/examples
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            title: "Use Cases"
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          - file: doc/PythonAPI/Friesian/index
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            title: "API Reference"
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  - entries:
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    - file: doc/PPML/index
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      title: "PPML"
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      subtrees:
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        - entries:
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            - file: doc/PPML/Overview/intro
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              title: "PPML Introduction"
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            - file: doc/PPML/Overview/install
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              title: 'Installation'
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            - file: doc/PPML/Overview/examples
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              title: "Tutorials"
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              subtrees:
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                  - 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
 | 
						|
                  - file: doc/PPML/Overview/secure_lightgbm_on_spark
 | 
						|
 | 
						|
  - 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
 |