tensorflow / tensorflow/model-optimization
How to extract original model's weight from trained QAT model?
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feature request
- Dominant language
- Python
- Stars
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- Forks
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Description
System information
TensorFlow version (you are using): 2.8
Are you willing to contribute it (Yes/No):
Motivation
How to extract the original model's weight from the trained QAT model?
I want to extract the original model's weight and QAT params, so I can set int8 params in TensorRT manually.
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 TensorFlow 2.8, a trained QAT model, original weights, QAT parameters, and manual TensorRT int8 parameters, but no files or tests. Start by locating the QAT model and conversion documentation; done should be a confirmed extraction procedure or a clearly documented limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100