[BE] Use torch.special.expm1
#141518
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[BE] Use torch.special.expm1
#141518
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Instead of `torch.exp(x)-1`, as suggested by TorchFix
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/141518
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 16f8ec8 with merge base b18bbc9 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
kit1980
approved these changes
Nov 25, 2024
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Merge failedReason: 1 mandatory check(s) failed. The first few are: Dig deeper by viewing the failures on hud |
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Ryo-not-rio
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Dec 2, 2024
Instead of `torch.exp(x)-1`, as suggested by TorchFix Pull Request resolved: pytorch#141518 Approved by: https://github.com/kit1980
pobin6
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Dec 5, 2024
Instead of `torch.exp(x)-1`, as suggested by TorchFix Pull Request resolved: pytorch#141518 Approved by: https://github.com/kit1980
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Instead of
torch.exp(x)-1, as suggested by TorchFix