The following instruction demonstrates the usage of evaluating network's performance through SWAP-Score.
**/src/metrics/swap.py** contains the core components of SWAP-Score.
**/datasets/DARTS_archs_CIFAR10.csv** contains 1000 architectures (randomly sampled from DARTS space) along with their CIFAR-10 validation accuracies (trained for 200 epochs).
* Install necessary dependencies (a new virtual environment is suggested).
```
cd SWAP
pip install -r requirements.txt
```
* Calculate the correlation between SWAP-Score and CIFAR-10 validation accuracies of 1000 DARTS architectures.
```
python correlation.py
```
If you use or build on our code, please consider citing our paper:
```
@inproceedings{
peng2024swapnas,
title={{SWAP}-{NAS}: Sample-Wise Activation Patterns for Ultra-fast {NAS}},
author={Yameng Peng and Andy Song and Haytham M. Fayek and Vic Ciesielski and Xiaojun Chang},
booktitle={The Twelfth International Conference on Learning Representations},
