tensorflow / tensorflow/model-optimization
Quantization aware training on untrained model
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.6k
- Forks
- 349
- Avg merge
- 3d 2h
- Merged PRs (30d)
- 1
Description
Q1. Can I train a model from scratch using Quantization aware training? Or It can only be used as fine-tuning method ?
Q2. Are QFormats for weight tensors decided before QAT or weight format keep changing based on minmax values after weight update ?
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
No files, tests, or entry points are named. Start by reviewing the project's QAT documentation and implementation to establish whether training from scratch is supported and how QFormats respond to updated weights; done means documenting both answers clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras, python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100