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PCA analysis extraction based model design

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PCA Based Model Modification

Dependencies

  • python == 3.7
  • pytorch == 1.12.1
  • numpy == 1.21.5
  • thop == 0.1.1

Implementation

Compute_PCA and Extract Primary Layers

  • Calculate PCA explained variance ratio from compressed output for each activation layer
  • Please check out section 1 and 2 in quantization_conversion.ipynb

Training Script

  • Currently available for Cifar10/Cifar100 training for vgg11/13/16/19 Details in train.py
        python train.py --pretrained --dataset cifar10 --model vgg13

quantization

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  • Jupyter Notebook 72.7%
  • Python 27.3%