tensorflow / tensorflow/model-optimization
Unable to use strip_pruning for subclass model
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.6k
- Forks
- 349
- Avg merge
- 3d 2h
- Merged PRs (30d)
- 1
Description
Hi, is there any work around method to use tfmot.sparsity.keras.strip_pruning on subclass models? I tried to use prune_low_magnitude on subclass by apply it to the layers in subclasses as a work around method. So I would like to ask is there method like this to use strip_pruning on subclasses models? Any help would be great:)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names tfmot.sparsity.keras.strip_pruning and prune_low_magnitude; start by reproducing the behavior with a subclassed model and inspect those entry points. Done should establish whether subclass models are supported and provide a verified method or a clearly scoped implementation path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100