4.4 KiB
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.