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Clarify torch.arange floating-point rounding behavior by axsseldz · Pull Request #141655 · pytorch/pytorch · GitHub
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Clarify torch.arange floating-point rounding behavior #141655
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/141655
Note: Links to docs will display an error until the docs builds have been completed. âś… No FailuresAs of commit d2e6730 with merge base 9b89fa4 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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Hi @cpuhrsch, could you take a look at these changes, please |
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Seems reasonable to me
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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 |
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Added documentation note clarifying the rounding behavior of `torch.arange` when using floating-point dtypes, particularly for reduced precision types like `bfloat16`. This helps users understand potential issues like repeated values and provides guidance on using integer dtypes for precise sequences. ## Changes - Added explanatory note about floating-point rounding behavior and its effects - Included specific mention of `bfloat16` dtype issues - Added recommendation to use integer dtypes for precise sequences Fixes [pytorch#137774](pytorch#137774) Pull Request resolved: pytorch#141655 Approved by: https://github.com/cpuhrsch
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Added documentation note clarifying the rounding behavior of
torch.arangewhen using floating-point dtypes, particularly for reduced precision types likebfloat16. This helps users understand potential issues like repeated values and provides guidance on using integer dtypes for precise sequences.Changes
bfloat16dtype issuesFixes #137774