deepspeedai / deepspeedai/DeepSpeed
Ensure DeepSpeedDataLoader matches torch DataLoader semantics
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- Dominant language
- Python
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Description
DeepSpeedDataLoader is a wrapper for torch DataLoader and should at a minimum match the semantics. Right now this property is not well tested and discrepancies have already been identified, such as this #167. In my estimation, a fair bit of work is required to achieve this goal, including the following items:
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Support batching and non-batching modes.
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Unit tests to validate expected behavior
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Performance comparison between DeepSpeedDataLoader and torch DataLoader.
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Some documentation of DeepSpeedDataLoader, including any semantic deviation from torch DataLoader.
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
Locate the DeepSpeedDataLoader implementation and compare its behavior with the torch DataLoader documentation, including the discrepancy referenced by #167. Define tests for batching and non-batching semantics, add the requested performance comparison and documentation, and consider the work complete when supported behavior and any deviations are documented and validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100