PyTorch Pruning

Introduction

PyTorch pruning example for ResNet. ResNet18 pre-trained on CIFAR-10 dataset maintains the same prediction accuracy with 50x compression after pruning.

Usages

Build Docker Image

$ docker build -f docker/pytorch.Dockerfile --no-cache --tag=pytorch:1.13.0 .

Run Docker Container

$ docker run -it --rm --gpus device=0 -v $(pwd):/mnt pytorch:1.13.0

Run Pre-Training

$ python pretrain.py

Run Pruning

$ python prune.py

References

• PyTorch Pruning
• PyTorch Pruning Tutorial