[ONNX] Add onnx::Max into standard Op for scalar type alignment #88750
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[ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/88750
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit b5aa209: This comment was automatically generated by Dr. CI and updates every 15 minutes. |
pytorch-bot
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added
the
release notes: onnx
titaiwangms
added
module: onnx
justinchuby
approved these changes
Nov 9, 2022
|
@BowenBao PTAL |
BowenBao
approved these changes
Nov 11, 2022
|
@pytorchbot merge -g |
Merge startedYour change will be merged once all checks on your PR pass since you used the green (-g) flag (ETA: 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
kulinseth
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Dec 10, 2022
…rch#88750) Easy fix for onnx::Max ScalarType Pull Request resolved: pytorch#88750 Approved by: https://github.com/justinchuby, https://github.com/BowenBao
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Stack from ghstack (oldest at bottom):
Easy fix for onnx::Max ScalarType