Lightning-AI / Lightning-AI/lightning-thunder
Support NeMo MegatronImagen network
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- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 121
- PR merge metrics
- No merged PRs in 30d
Description
## 🚀 Feature
NeMo's "Imagen" network implements text-to-image generation.
Initial `examine`:
```
Found 55 distinct operations, of which 46 (83.6%) are supported
```
### Motivation
### Pitch
### Work items
- [x] #144
- [x] #170
- [ ] #172
- [ ] #173
- [x] #174
- [x] #175
- [x] #176
- [x] #177
- [ ] #178
- [x] Talk to NeMo team about rewriting `nan_to_num_` -> `nan_to_num` (out of place)
- [x] Talk to NeMo team about rewriting `add_` -> `add` (out of place)
- [ ] Test memory use of NeMo model with out-of-place `nan_to_num` instead of the in-place variant
- [ ] Test memory use of NeMo model with out-of-place `add` instead of the in-place variant
cc @tfogal
Contributor guide
No contributing guide indexed for this repository
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 running or reviewing the reported `examine` result for NeMo's Imagen network, then inspect unresolved work items #172, #173, and #178. The work is done when the remaining operations are supported and the memory-use checks for out-of-place `nan_to_num` and `add` are completed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- compilers, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100