tensorflow / tensorflow/model-optimization
TFJS Support
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.6k
- Forks
- 349
- Avg merge
- 3d 2h
- Merged PRs (30d)
- 1
Description
Are you willing to contribute it (Yes/No): Willing
Motivation
What is the use case and how does it broadly benefits users? Prioritization and whether a feature is added is based on how it
Right now quantization aware based training is focused on tflite but I was hoping to add support for tfjs. The Tfjs converter does not support parsing the quantization aware nodes.
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
Start by reviewing the existing quantization-aware training support for TFLite and how the TFJS converter handles quantization-aware nodes. The issue provides no file or test entry point; done would mean TFJS conversion supports parsing those nodes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100