Compare some PyTorch models against corresponding JAX models in the suite
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- Dominant language
- Python
- Stars
- 1k
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Description
This was brought up by @bertmaher offline, I am just writing an issue for it. It would be nice if we could have a set of models where JAX is more competitive than PyTorch and be able to run comparisons on both in torchbench.
Some prior work: https://github.com/TheSalon/fast-dpsgd benchmarked various differential private models between PT, JAX, and some other frameworks.
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 reviewing the TorchBench suite and the prior fast-dpsgd benchmark linked in the issue. Identify suitable corresponding models and define how both implementations would be run and compared in TorchBench. Done means the suite contains reproducible comparisons showing models where JAX is more competitive than PyTorch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning, performance, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100