PaS

Official implement of Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. To be appear in IJCAI 2022

1. Requirements:

This repo works with:

• Python >= 3.6

• CUDA >= 10.0

• Nvidia/apex

• PyTorch >= 1.6.0

• torchvision

2. dataset

$ ln -s /where/is/imagenet/train/ train
$ ln -s /where/is/imagenet/val/ val

3. train

For now we released the searched models here.

We are cleaning the search and training code. Please stay tuned.

Example