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[ONNX] Pick up missing types in dynamic shapes renaming #147407
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/147407
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 17 PendingAs of commit 6d6cf8e with merge base 302f56a ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
@pytorchbot merge |
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Merge failedReason: 1 mandatory check(s) failed. The first few are: Dig deeper by viewing the failures on hud |
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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 |
@pytorchbot merge -f "ONNX tests passes. ROCMs tests never run." |
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Can't merge closed PR #147407 |
Found in `_check_dynamic_shapes` that int and None type are valid inputs of dynamic_shapes. This PR adds the support on these two types and add the tests to guard the sync of ONNX flatten logic and the one in expor.t Pull Request resolved: #147407 Approved by: https://github.com/justinchuby
Found in `_check_dynamic_shapes` that int and None type are valid inputs of dynamic_shapes. This PR adds the support on these two types and add the tests to guard the sync of ONNX flatten logic and the one in expor.t Pull Request resolved: #147407 Approved by: https://github.com/justinchuby
Found in `_check_dynamic_shapes` that int and None type are valid inputs of dynamic_shapes. This PR adds the support on these two types and add the tests to guard the sync of ONNX flatten logic and the one in expor.t Pull Request resolved: pytorch#147407 Approved by: https://github.com/justinchuby
Found in
_check_dynamic_shapes
that int and None type are valid inputs of dynamic_shapes.This PR adds the support on these two types and add the tests to guard the sync of ONNX flatten logic and the one in expor.t