Bump onnxruntime from 1.18.1 to 1.20.1 #61
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Bumps [onnxruntime](https://github.com/microsoft/onnxruntime) from 1.18.1 to 1.20.1. - [Release notes](https://github.com/microsoft/onnxruntime/releases) - [Changelog](https://github.com/microsoft/onnxruntime/blob/main/docs/ReleaseManagement.md) - [Commits](microsoft/onnxruntime@v1.18.1...v1.20.1) --- updated-dependencies: - dependency-name: onnxruntime dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>
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Subject: [vasudev-gm/magika_demo] Bump onnxruntime from 1.18.1 to 1.20.1 (PR #61)
Bumps onnxruntime<https://github.com/microsoft/onnxruntime> from 1.18.1 to 1.20.1.
Release notes
Sourced from onnxruntime's releases<https://github.com/microsoft/onnxruntime/releases>.
ONNX Runtime v1.20.1
What's new?
Python Quantization Tool
* Prevent int32 quantized bias from clipping by adjusting the weight's scale (#22020<https://github.com/microsoft/onnxruntime/issues/22020>) - @adrianlizarraga<https://github.com/adrianlizarraga>
* Update QDQ Pad, Slice, Softmax (#22676<https://github.com/microsoft/onnxruntime/issues/22676>) - @adrianlizarraga<https://github.com/adrianlizarraga>
* Introduce get_qdq_config() helper to get QDQ configurations (#22677<https://github.com/microsoft/onnxruntime/issues/22677>) - @adrianlizarraga<https://github.com/adrianlizarraga>
* Add reduce_range option to get_qdq_config() (#22782<https://github.com/microsoft/onnxruntime/issues/22782>) - @adrianlizarraga<https://github.com/adrianlizarraga>
* Flaky test due to Pad reflect bug (#22798<https://github.com/microsoft/onnxruntime/issues/22798>) - @adrianlizarraga<https://github.com/adrianlizarraga>
CPU EP
* Refactor SkipLayerNorm implementation to address issues (#22719<https://github.com/microsoft/onnxruntime/issues/22719>, #22862<https://github.com/microsoft/onnxruntime/issues/22862>) - @amarin16<https://github.com/amarin16>, @liqunfu<https://github.com/liqunfu>
QNN EP
* Add QNN SDK v2.28.2 support (#22724<https://github.com/microsoft/onnxruntime/issues/22724>, #22844<https://github.com/microsoft/onnxruntime/issues/22844>) - @HectorSVC<https://github.com/HectorSVC>, @adrianlizarraga<https://github.com/adrianlizarraga>
TensorRT EP
* Exclude DDS ops from running on TRT (#22875<https://github.com/microsoft/onnxruntime/issues/22875>) - @chilo-ms<https://github.com/chilo-ms>
Packaging
* Rework the native library usage so that a pre-built ORT native package can be easily used (#22345<https://github.com/microsoft/onnxruntime/issues/22345>) - @skottmckay<https://github.com/skottmckay>
* Fix Maven Sha256 Checksum Issue (#22600<https://github.com/microsoft/onnxruntime/issues/22600>) - @idiskyle<https://github.com/idiskyle>
Contributions
Big thank you to the release manager @yf711<https://github.com/yf711>, along with @adrianlizarraga<https://github.com/adrianlizarraga>, @HectorSVC<https://github.com/HectorSVC>, @jywu-msft<https://github.com/jywu-msft>, and everyone else who helped to make this patch release process a smooth one!
ONNX Runtime v1.20.0
Release Manager: @apsonawane<https://github.com/apsonawane>
Announcements
* All ONNX Runtime Training packages have been deprecated. ORT 1.19.2 was the last release for which onnxruntime-training (PyPI), onnxruntime-training-cpu (PyPI), Microsoft.ML.OnnxRuntime.Training (Nuget), onnxruntime-training-c (CocoaPods), onnxruntime-training-objc (CocoaPods), and onnxruntime-training-android (Maven Central) were published.
* ONNX Runtime packages will stop supporting Python 3.8 and Python 3.9. This decision aligns with NumPy Python version support. To continue using ORT with Python 3.8 and Python 3.9, you can use ORT 1.19.2 and earlier.
* ONNX Runtime 1.20 CUDA packages will include new dependencies that were not required in 1.19 packages. The following dependencies are new: libcudnn_adv.so.9, libcudnn_cnn.so.9, libcudnn_engines_precompiled.so.9, libcudnn_engines_runtime_compiled.so.9, libcudnn_graph.so.9, libcudnn_heuristic.so.9, libcudnn_ops.so.9, libnvrtc.so.12, and libz.so.1.
Build System & Packages
* Python 3.13 support is included in PyPI packages.
* ONNX 1.17 support will be delayed until a future release, but the ONNX version used by ONNX Runtime has been patched to include a shape inference change to the Einsum op<https://github.com/onnx/onnx/pull/6010>.
* DLLs in the Maven build are now digitally signed (fix for issue reported here<https://github.com/microsoft/onnxruntime/issues/19204>).
* (Experimental) vcpkg support added for the CPU EP. The DML EP does not yet support vcpkg, and other EPs have not been tested.
Core
* MultiLoRA support.
* Reduced memory utilization.
* Fixed alignment that was causing mmap to fail for external weights.
* Eliminated double allocations when deserializing external weights.
* Added ability to serialize pre-packed weights so that they don’t cause an increase in memory utilization when the model is loaded.
* Support bfloat16 and float8 data types in python I/O binding API.
Performance
* INT4 quantized embedding support on CPU and CUDA EPs.
... (truncated)
Commits
* 5c1b7cc<microsoft/onnxruntime@5c1b7cc> [ORT 1.20.1 Release] Cherry pick 2nd round (#22845<https://github.com/microsoft/onnxruntime/issues/22845>)
* c6156c1<microsoft/onnxruntime@c6156c1> [ORT 1.20.1 Release] Cherry pick 1st round (#22785<https://github.com/microsoft/onnxruntime/issues/22785>)
* c4fb724<microsoft/onnxruntime@c4fb724> ORT 1.20.0 release preparation: Cherry pick round 2 (#22643<https://github.com/microsoft/onnxruntime/issues/22643>)
* 2d00351<microsoft/onnxruntime@2d00351> ORT 1.20.0 Release: Cherry pick round 1 (#22526<https://github.com/microsoft/onnxruntime/issues/22526>)
* f9e623e<microsoft/onnxruntime@f9e623e> Update CMake to 3.31.0rc1 (#22433<https://github.com/microsoft/onnxruntime/issues/22433>)
* 691de83<microsoft/onnxruntime@691de83> Enable BrowserStack tests (#22457<https://github.com/microsoft/onnxruntime/issues/22457>)
* bf60442<microsoft/onnxruntime@bf60442> [ROCm] Update ROCm Nuget pipeline to ROCm 6.2 (#22461<https://github.com/microsoft/onnxruntime/issues/22461>)
* 2b8fc55<microsoft/onnxruntime@2b8fc55> Enable RunMatMulTest all test cases support FP16 (#22440<https://github.com/microsoft/onnxruntime/issues/22440>)
* af00a20<microsoft/onnxruntime@af00a20> Change ORT nightly python packages' name (#22450<https://github.com/microsoft/onnxruntime/issues/22450>)
* a5e85a9<microsoft/onnxruntime@a5e85a9> Fix training artifacts for 2GB+ models and MSELoss (#22414<https://github.com/microsoft/onnxruntime/issues/22414>)
* Additional commits viewable in compare view<microsoft/onnxruntime@v1.18.1...v1.20.1>
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#61
Commit Summary
* f570157<f570157> Bump onnxruntime from 1.18.1 to 1.20.1
File Changes
(1 file<https://github.com/vasudev-gm/magika_demo/pull/61/files>)
* M requirements.txt<https://github.com/vasudev-gm/magika_demo/pull/61/files#diff-4d7c51b1efe9043e44439a949dfd92e5827321b34082903477fd04876edb7552> (2)
Patch Links:
* https://github.com/vasudev-gm/magika_demo/pull/61.patch
* https://github.com/vasudev-gm/magika_demo/pull/61.diff
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Bumps onnxruntime from 1.18.1 to 1.20.1.
Release notes
Sourced from onnxruntime's releases.
... (truncated)
Commits
5c1b7cc[ORT 1.20.1 Release] Cherry pick 2nd round (#22845)c6156c1[ORT 1.20.1 Release] Cherry pick 1st round (#22785)c4fb724ORT 1.20.0 release preparation: Cherry pick round 2 (#22643)2d00351ORT 1.20.0 Release: Cherry pick round 1 (#22526)f9e623eUpdate CMake to 3.31.0rc1 (#22433)691de83Enable BrowserStack tests (#22457)bf60442[ROCm] Update ROCm Nuget pipeline to ROCm 6.2 (#22461)2b8fc55Enable RunMatMulTest all test cases support FP16 (#22440)af00a20Change ORT nightly python packages' name (#22450)a5e85a9Fix training artifacts for 2GB+ models andMSELoss(#22414)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot will merge this PR once CI passes on it, as requested by @vasudev-gm.
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