Accenture / Accenture/AmpliGraph
Multiple GPU support
Open
Nobody has claimed this yet.
enhancement
performance
- Dominant language
- Python
- Stars
- 2.2k
- Forks
- 257
- PR merge metrics
- No merged PRs in 30d
Description
Background and Context
Having the availability of another GPU on the same machine, I would like to be able to train a model (e.g. ComplEx) using 2 GPUs and thus reducing training time.
Description
Training a model using 2 GPUs.
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
The issue names no files, tests, or entry points. Start by locating the model-training implementation and checking how device selection is handled; done should mean training a model such as ComplEx across two GPUs, with tests or documented verification for the multi-GPU behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100