llama model is not fully lowered to ANE (coreml backend)
Open
Nobody has claimed this yet.
module: coreml
triaged
- Dominant language
- Python
- Stars
- 5k
- Forks
- 1.2k
- Avg merge
- 2d 10h
- Merged PRs (30d)
- 581
Description
As title, the model definition is here: https://github.com/pytorch/executorch/blob/main/examples/models/llama2/llama_transformer.py
There are two parts not lowered to ANE, including embedding and kv cache 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
Start with examples/models/llama2/llama_transformer.py and inspect how the embedding and KV cache update are represented for the Core ML backend. Trace the lowering path for both parts and verify that the complete Llama model, including embedding and KV cache update, is lowered to ANE.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, mobile-dev
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100