Finalize pruning by removing the mask
After pruning a model, you need to finalize it before saving or deploying. This means removing the pruning mask so the model no longer tracks which weights were zeroed. You'll use prune.remove() to complete this step.
Bu egzersiz
Scalable AI Models with PyTorch Lightning
kursunun bir parçasıdırEgzersiz talimatları
- Finalize the pruning of the weight parameter.
- Use
prune.remove()to remove the mask and store the final weights. - Print the model to confirm pruning removal.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
import torch.nn.utils.prune as prune
# Before pruning
print(model)
# Finalize pruning by removing the pruning mask
prune.____(model[3], "____")
# Print model structure after pruning
print(____)