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[ONNX] Support running bfloat16 models with ONNX Runtime#149646
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pytorch-botbot commentedMar 20, 2025 • edited
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🔗 Helpful Links🧪 See artifacts and rendered test results athud.pytorch.org/pr/149646
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit27dc679 with merge basee945247 ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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justinchuby commentedMar 28, 2025
@pytorchbot rebase |
pytorchmergebot commentedMar 28, 2025
@pytorchbot started a rebase job ontorefs/remotes/origin/viable/strict. Check the current statushere |
pytorchmergebot commentedMar 28, 2025
Successfully rebased |
04d44a3 to01f698aComparejustinchuby commentedMar 31, 2025
@pytorchbot rebase |
pytorchmergebot commentedMar 31, 2025
@pytorchbot started a rebase job ontorefs/remotes/origin/viable/strict. Check the current statushere |
pytorchmergebot commentedMar 31, 2025
Successfully rebased |
01f698a to475444bComparetracing_state_functions references some torch functions from submodules like `torch.onnx.is_in_onnx_export` that could trigger module initialization & circular imports. I turned the mapping into a function so that the dictionary is not initialized at torch import.(discovered in#149646)Pull Requestresolved:#150325Approved by:https://github.com/zou3519
justinchuby commentedApr 9, 2025
@pytorchbot rebase -b main |
pytorchmergebot commentedApr 9, 2025
@pytorchbot started a rebase job ontorefs/remotes/origin/main. Check the current statushere |
pytorchmergebot commentedApr 9, 2025
Successfully rebased |
475444b to014a924Comparejustinchuby commentedApr 11, 2025
@pytorchbot rebase -b main |
pytorchmergebot commentedApr 11, 2025
@pytorchbot started a rebase job ontorefs/remotes/origin/main. Check the current statushere |
pytorchmergebot commentedApr 11, 2025
Successfully rebased |
810bba3 to27dc679Comparejustinchuby commentedApr 11, 2025
@pytorchbot merge |
pytorchmergebot commentedApr 11, 2025
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in thewiki. Questions? Feedback? Please reach out to thePyTorch DevX Team |
tracing_state_functions references some torch functions from submodules like `torch.onnx.is_in_onnx_export` that could trigger module initialization & circular imports. I turned the mapping into a function so that the dictionary is not initialized at torch import.(discovered inpytorch#149646)Pull Requestresolved:pytorch#150325Approved by:https://github.com/zou3519
)Use ORTValue objects to support bfloat16 and other dtypes as inputs. This only supports cuda as ort only implements bfloat16 on cuda.Pull Requestresolved:pytorch#149646Approved by:https://github.com/titaiwangms
tracing_state_functions references some torch functions from submodules like `torch.onnx.is_in_onnx_export` that could trigger module initialization & circular imports. I turned the mapping into a function so that the dictionary is not initialized at torch import.(discovered inpytorch#149646)Pull Requestresolved:pytorch#150325Approved by:https://github.com/zou3519
)Use ORTValue objects to support bfloat16 and other dtypes as inputs. This only supports cuda as ort only implements bfloat16 on cuda.Pull Requestresolved:pytorch#149646Approved by:https://github.com/titaiwangms
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Use ORTValue objects to support bfloat16 and other dtypes as inputs. This only supports cuda as ort only implements bfloat16 on cuda.