Wednesday 5/19/21 at 1PM ET, I’ll be hosting a live discussion to demonstrate how to use SparseML to easily prune and quantize PyTorch models.
The session is intended to be guided largely by interactive Q&A, however will also cover:
- Overview of pruning and quantization
- How to define pruning and quantization recipes in SparseML
- How to easily integrate SparseML with PyTorch training flows
- Demos of end-to-end sparsification and inference
Sign up for this event with the link here. If you have any questions about the event, or specific material you’d like to see, comment in this topic!