Comparison with PyTorch 1.1 SyncBN
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- Dominant language
- Python
- Stars
- 9k
- Forks
- 1.5k
- Avg merge
- 2d 4h
- Merged PRs (30d)
- 3
Description
PyTorch just released v1.1, which includes improved DistributedDataParallel with SyncBN support: https://github.com/pytorch/pytorch/pull/14267
How does the native support compare to apex.DistributedDataParallel and SyncBN? Would love to see some benchmarks, thanks!
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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 linked PyTorch pull request and the existing apex.DistributedDataParallel and SyncBN behavior. Design comparable benchmarks for native PyTorch and Apex implementations, then report the configurations, results, and conclusions about their differences.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100