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Integrate with ONNX 1.16.0 release branch #121258
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module: onnx
Related to torch.onnx
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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WiP PR: #121097 |
soulitzer
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module: onnx
Related to torch.onnx
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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Mar 6, 2024
atalman
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Apr 5, 2024
Fixes #121258 CC @malfet @atalman Pull Request resolved: #123125 Approved by: https://github.com/malfet (cherry picked from commit 19c2ed1) Co-authored-by: pbialecki <[email protected]>
sanketpurandare
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Apr 22, 2024
Fixes pytorch#121258 CC @malfet @atalman Pull Request resolved: pytorch#123125 Approved by: https://github.com/malfet
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Labels
module: onnx
Related to torch.onnx
triaged
This issue has been looked at a team member, and triaged and prioritized into an appropriate module
🚀 The feature, motivation and pitch
We are releasing ONNX 1.16.0. A release branch is created (https://github.com/onnx/onnx/tree/rel-1.16.0). The planned release date is March 25, 2024. Release candidates are also available from TestPyPI:
pip install -i https://test.pypi.org/simple/ --pre onnx
It is important to integrate ONNX release branch ASAP so that any issues and incompatibilities can be detected and resolved before the ONNX release.
Key updates:
stash_type
attribute to GroupNormalizationIn case a bug in ONNX is detected during integration of ONNX 1.16.0, please open a ONNX Bug Report and tag ONNX Release Manager @cjvolzka so that the bug is fixed in the ONNX release branch.
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