शुरू करेंमुफ़्त में शुरू करें

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.

यह अभ्यास पाठ्यक्रम का हिस्सा है

Scalable AI Models with PyTorch Lightning

पाठ्यक्रम देखें

अभ्यास निर्देश

  • 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.

इंटरैक्टिव व्यावहारिक अभ्यास

इस अभ्यास को इस नमूना कोड को पूरा करके आज़माएँ।

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(____)
कोड संपादित करें और चलाएँ