How to run a executorch model directly from memory instead of saving it as a disk file
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Description
📚 The doc issue
Hi,
I wanted to know if there is any ExecuTorch runtime API that can accept a *.pte model available in the memory (in some sort of a buffer format) and use it to do load and infer?
So far, I could only find a few which require the model to be passed as a disk file.
Suggest a potential alternative/fix
No response
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 ExecuTorch runtime APIs for loading a .pte model, focusing on the file-based entry points mentioned in the issue. Determine whether an in-memory buffer can be passed for loading and inference, then document the supported approach or limitation with a minimal usage example.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pytorch
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100