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[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

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ZeroQ: A Novel Zero Shot Quantization Framework



This repository contains the PyTorch implementation for the CVPR 2020 paper ZeroQ: A Novel Zero-Shot Quantization Framework. Below are instructions for reproducing classification results. Please see detection readme for instructions to reproduce object detection results.

You can find a short video explanation of ZeroQ here.


# Code is based on PyTorch 1.2 (Cuda10). Other dependancies could be installed as follows: 
cd classification
pip install -r requirements.txt --user
# Set a symbolic link to ImageNet validation data (used only to evaluate model) 
mkdir data
ln -s /path/to/imagenet/ data/

The folder structures should be the same as following

├── utils
├── data
│   ├── imagenet
│   │   ├── val
Afterwards you can test Zero Shot quantization with W8A8 by running:

Below are the results that you should get for 8-bit quantization (W8A8 refers to the quantizing model to 8-bit weights and 8-bit activations).

| Models | Single Precision Top-1 | W8A8 Top-1 | | ----------------------------------------------- | :--------------------: | :--------: | | ResNet18 | 71.47 | 71.43 | | ResNet50 | 77.72 | 77.67 | | InceptionV3 | 78.88 | 78.72 | | MobileNetV2 | 73.03 | 72.91 | | ShuffleNet | 65.07 | 64.94 | | SqueezeNext | 69.38 | 69.17 |


  • You can test a single model using the following command:
python [--dataset] [--model] [--batch_size] [--test_batch_size]

optional arguments: --dataset type of dataset (default: imagenet) --model model to be quantized (default: resnet18) --batch-size batch size of distilled data (default: 64) --test-batch-size batch size of test data (default: 512)


ZeroQ has been developed as part of the following paper. We appreciate it if you would please cite the following paper if you found the implementation useful for your work:

  title={Zeroq: A novel zero shot quantization framework},
  author={Cai, Yaohui and Yao, Zhewei and Dong, Zhen and Gholami, Amir and Mahoney, Michael W and Keutzer, Kurt},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

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