NVIDIA / NVIDIA/recsys-examples
[FEA] Support distributed checkpointing
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- Dominant language
- Python
- Stars
- 322
- Forks
- 83
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 8
Description
Is your feature request related to a problem? Please describe.
dynamicemb already support distributed checkpointing, we need to add support for torchrec and dense modules.
Describe the solution you'd like
TBD
Describe alternatives you've considered
Pytorch distributed checkpoint
Megatron core distributed checkpoint
Additional context
N/A
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 reading the existing dynamicemb distributed checkpointing support, then review the linked PyTorch distributed checkpoint and Megatron Core checkpoint documentation. Define the required support for torchrec and dense modules; done should mean those modules can participate in distributed checkpoint save and restore.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100