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released this
25 Oct 04:15
ORT 1.23.2 cherrypick 1 (#26368)
Adds the following commits to the release-1.23.2 branch for ORT 1.23.2:
- [TensorRT] Fix DDS output bug during engine update
- PR: https://github.com/microsoft/onnxruntime/pull/26272
- commit id: 00e85dd3c84f511fee373d152d461f6e81d7f514
- Fix shape inference failure with in-memory external data
- PR: https://github.com/microsoft/onnxruntime/pull/26263
- commit id: d955476911997842cb058174c18f30f8dc3693b4
- [CUDA] replace 90a-virtual by 90-virtual for forward compatible
- PR: https://github.com/microsoft/onnxruntime/pull/26230
- commit id: b58911f7445be56e45cb0f7993c0d43e6839c09e
- [QNN-EP] Fix logic flow bug
- PR: https://github.com/microsoft/onnxruntime/pull/26148
- commit id: b282379ac6066e8de9a5a68f1ce5ef1cf566dd04
- Internal Dupe of #25255 - [MLAS] Optimize MlasConv using thread
partition opt
- PR: https://github.com/microsoft/onnxruntime/pull/26103
- commit id: 736251899137449311819bab36ff1c47ea09a62c
- Update qMoE spec to support block quantization
- PR: https://github.com/microsoft/onnxruntime/pull/25641
- commit id: 7a8ffa80b78c1e363a04eb7b8ebae22c4e45d140
- [VitisAI] add new api to VitisAI to save graph as a string
- PR: https://github.com/microsoft/onnxruntime/pull/25602
- commit id: 3361d723a526d6bcd9ac473ce6d3f0a1a89244da
- [[Build] Lock torch, onnxscript and onnx-ir versions to latest]
- PR: https://github.com/microsoft/onnxruntime/pull/26315
- commit id: ea69c4df0bd032ec1ca3790455f123de99187cee
---------
Co-authored-by: Hariharan Seshadri <[email protected] >
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Edward Chen <[email protected] >
Co-authored-by: Yateng Hong <[email protected] >
Co-authored-by: Changming Sun <[email protected] >
Co-authored-by: Dmitri Smirnov <[email protected] >
Co-authored-by: Tianlei Wu <[email protected] >
Co-authored-by: quic-calvnguy <[email protected] >
Co-authored-by: quic_calvnguy <quic_calvnguy@quic_inc.com>
Co-authored-by: yifei410 <[email protected] >
Co-authored-by: yifei <[email protected] >