a4bbadeb61
* Add nbsphinx extension for docs * Add specific ipynb files to readthedocs folder and add links to Nano Tutorials index page * Disable execution of ipynb notebook * Remove outputs of two ipynb files * Rename titles and add navigation texts to seq_and_func.ipynb under readthedocs folder * Rename titles and add navigation texts to custom.ipynb file under readthedocs folder
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Nano Tutorial
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BigDL-Nano PyTorch Training Quickstart
In this guide we will describe how to scale out PyTorch programs using Nano
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BigDL-Nano PyTorch ONNXRuntime Acceleration Quickstart
In this guide we will describe how to apply ONNXRuntime Acceleration on inference pipeline with the APIs delivered by BigDL-Nano
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BigDL-Nano PyTorch OpenVINO Acceleration Quickstart
In this guide we will describe how to apply OpenVINO Acceleration on inference pipeline with the APIs delivered by BigDL-Nano
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BigDL-Nano PyTorch Quantization with INC Quickstart
In this guide we will describe how to obtain a quantized model with the APIs delivered by BigDL-Nano
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BigDL-Nano PyTorch Quantization with ONNXRuntime accelerator Quickstart
In this guide we will describe how to obtain a quantized model running inference in the ONNXRuntime engine with the APIs delivered by BigDL-Nano
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BigDL-Nano PyTorch Quantization with POT Quickstart
In this guide we will describe how to obtain a quantized model with the APIs delivered by BigDL-Nano
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BigDL-Nano Hyperparameter Tuning (Tensorflow Sequential/Functional API) Quickstart
In this guide we will describe how to use Nano's built-in HPO utils to do hyperparameter tuning for models defined using Tensorflow Sequential or Functional API.
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BigDL-Nano Hyperparameter Tuning (Tensorflow Subclassing Model) Quickstart
In this guide we will describe how to use Nano's built-in HPO utils to do hyperparameter tuning for models defined by subclassing tf.keras.Model.