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Add Half support for poisson and use float for Half cumulative distribution on CPU #112124
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/112124
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit f91eb43 with merge base 64f3260 (): FLAKY - The following job failed but was likely due to flakiness present on trunk:
BROKEN TRUNK - The following job failed but was present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This needs a test for the extended functionality
@cpuhrsch Added Half tests for poisson and there are already Half tests for multinomial https://github.com/pytorch/pytorch/blob/main/test/test_torch.py#L5003. |
Hm, @CaoE - if the test already exists (and presumably runs and succeeds?) then I'm surprised that we stiil need to add coverage for it? Can I ask you to check whether it already runs? Maybe this change already happened? I want to avoid potentially having multiple implementations for the same op + device + dtype combo. |
@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 |
…bution on CPU (pytorch#112124) Add Half support for poisson and use float for Half cumulative distribution on CPU Pull Request resolved: pytorch#112124 Approved by: https://github.com/cpuhrsch
…bution on CPU (pytorch#112124) Add Half support for poisson and use float for Half cumulative distribution on CPU Pull Request resolved: pytorch#112124 Approved by: https://github.com/cpuhrsch
Add Half support for poisson and use float for Half cumulative distribution on CPU
cc @jgong5 @mingfeima @XiaobingSuper @sanchitintel @ashokei @jingxu10