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977 B
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21 lines
977 B
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Quantization-aware Training (QAT)
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=================================
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.. toctree::
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:maxdepth: 1
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:hidden:
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Quantization-aware Training with PyTorch <quantization-aware-training-pytorch>
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Quantization-aware Training with TensorFlow <quantization-aware-training-tensorflow>
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Introduction
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####################
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Quantization-aware Training is a popular method that allows quantizing a model and applying fine-tuning to restore accuracy
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degradation caused by quantization. In fact, this is the most accurate quantization method. This document describes how to
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apply QAT from the Neural Network Compression Framework (NNCF) to get 8-bit quantized models. This assumes that you are
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knowledgeable in Python programming and familiar with the training code for the model in the source DL framework.
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:doc:`Quantization-aware Training with PyTorch <quantization-aware-training-pytorch>`
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:doc:`Quantization-aware Training with TensorFlow <quantization-aware-training-tensorflow>` |