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This example demonstrates how to use Post-Training Quantization API from Neural Network Compression Framework (NNCF) to quantize PyTorch models on the example of SSD300_VGG16 from torchvision library.
The example includes the following steps:
no_nncf_trace
context so that the model graph is traced properly by NNCF.At this point it is assumed that you have already installed NNCF. You can find information on installation NNCF here.
To work with the example you should install the corresponding Python package dependencies:
pip install -r requirements.txt
The example does not require any additional preparation, just run:
python main.py
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