Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.
Before submitting
- [ ] Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
- [ ] Did you read the [contributor guideline](https://github.com/Lightning-AI/pytorch-lightning/blob/main/.github/CONTRIBUTING.md), Pull Request section?
- [ ] Did you make sure to update the docs?
- [ ] Did you write any new necessary tests?
What does this PR do?
Normalize PR( #530 ) had issues with the test. Fixed this by avoiding input tensors to be close to 0. (Thanks Tom for the suggestion!)
PR review
Anyone in the community is free to review the PR once the tests have passed.
If we didn't discuss your PR in Github issues there's a high chance it will not be merged.
Before submitting
- [ ] Was this discussed/approved via a Github issue? (no need for typos and docs improvements) - [ ] Did you read the [contributor guideline](https://github.com/Lightning-AI/pytorch-lightning/blob/main/.github/CONTRIBUTING.md), Pull Request section? - [ ] Did you make sure to update the docs? - [ ] Did you write any new necessary tests?What does this PR do?
Normalize PR( #530 ) had issues with the test. Fixed this by avoiding input tensors to be close to 0. (Thanks Tom for the suggestion!)
PR review
Anyone in the community is free to review the PR once the tests have passed. If we didn't discuss your PR in Github issues there's a high chance it will not be merged.
Did you have fun?
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