theislab / theislab/interscale
Masking in Transformer
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 12
- Forks
- 1
- Avg merge
- 12h 51m
- Merged PRs (30d)
- 1
Description
Description of feature
- #18
- Long-range interaction masking: In
maskfromtorch.nn.transformerencodersetattn_maskto-inf. Currently, not working because together withsrc_padding_maskit returns NaNs in the global embedding
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 locating the Transformer encoder call and its mask handling, then inspect how attn_mask and src_padding_mask are combined. Reproduce the global-embedding NaNs with both masks enabled and verify that long-range interactions are masked without producing NaNs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100