Bump onnxruntime from 1.18.1 to 1.19.0 #27
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Bumps [onnxruntime](https://github.com/microsoft/onnxruntime) from 1.18.1 to 1.19.0. - [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...v1.19.0) --- 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 1.19.0 (PR #27)
Bumps onnxruntime<https://github.com/microsoft/onnxruntime> from 1.18.1 to 1.19.0.
Release notes
Sourced from onnxruntime's releases<https://github.com/microsoft/onnxruntime/releases>.
ONNX Runtime v1.19
Announcements
* Note that Java (maven) and training (pypi) packages are delayed from package manager release due to some publishing errors. Feel free to contact @maanavd<https://github.com/maanavd> if you need release candidates for some workflows ASAP. In the meantime, binaries are attached to this post. This message will be deleted once this ceases to be the case. Thanks for your understanding :)
Build System & Packages
* Numpy support for 2.x has been added
* Qualcomm SDK has been upgraded to 2.25
* ONNX has been upgraded from 1.16 → 1.16.1
* Default GPU packages use CUDA 12.x and Cudnn 8.x (previously CUDA 11.x/CuDNN 8.x) CUDA 11.x/CuDNN 8.x packages are moved to the aiinfra VS feed.
* TensorRT 10.2 support added
* Introduced Java CUDA 12 packages on Maven.
* Discontinued support for Xamarin. (Xamarin reached EOL on May 1, 2024)
* Discontinued support for macOS 11 and increasing the minimum supported macOS version to 12. (macOS 11 reached EOL in September 2023)
* Discontinued support for iOS 12 and increasing the minimum supported iOS version to 13.
Core
* Implemented DeformConv
Performance
* Added QDQ support for INT4 quantization in CPU and CUDA Execution Providers
* Implemented FlashAttention on CPU to improve performance for GenAI prompt cases
* Improved INT4 performance on CPU (X64, ARM64) and NVIDIA GPUs
Execution Providers
* TensorRT
* Updated to support TensorRT 10.2
* Remove calls to deprecated api’s
* Enable refittable embedded engine when ONNX model provided as byte stream
* CUDA
* Added support for building with CUDA 12.5.
* Upgraded cutlass to 3.5.0 for performance improvement of memory efficient attention.
* Updated MultiHeadAttention and Attention operators to be thread-safe.
* Added sdpa_kernel provider option to choose kernel for Scaled Dot-Product Attention.
* Expanded op support - Tile (bf16)
* CPU
* Expanded op support - GroupQueryAttention, SparseAttention (for Phi-3 small)
* QNN
* Updated to support QNN SDK 2.25
* Expanded op support - HardSigmoid, ConvTranspose 3d, Clip (int32 data), Matmul (int4 weights), Conv (int4 weights), prelu (fp16)
* Expanded fusion support – Conv + Clip/Relu fusion
* OpenVINO
* Added support for OpenVINO 2024.3
* Support for enabling EpContext using session options
* DirectML
* Updated DirectML from 1.14.1 → 1.15
... (truncated)
Commits
* 530a2d7<microsoft/onnxruntime@530a2d7> Enable FP16 Clip and Handle Bias in FP16 Depthwise Conv (#21493<https://redirect.github.com/microsoft/onnxruntime/issues/21493>)
* 82036b0<microsoft/onnxruntime@82036b0> Remove references to the outdated CUDA EP factory method (#21549<https://redirect.github.com/microsoft/onnxruntime/issues/21549>)
* 07d3be5<microsoft/onnxruntime@07d3be5> CoreML: Add ML Program Split Op (#21456<https://redirect.github.com/microsoft/onnxruntime/issues/21456>)
* 5d78b9a<microsoft/onnxruntime@5d78b9a> [TensorRT EP] Update TRT OSS Parser to 10.2 (#21552<https://redirect.github.com/microsoft/onnxruntime/issues/21552>)
* 8417c32<microsoft/onnxruntime@8417c32> Keep QDQ nodes w/ nonpositive scale around MaxPool (#21182<https://redirect.github.com/microsoft/onnxruntime/issues/21182>)
* d985814<microsoft/onnxruntime@d985814> Update labeling bot (#21548<https://redirect.github.com/microsoft/onnxruntime/issues/21548>)
* 7543dd0<microsoft/onnxruntime@7543dd0> Propagate NaNs in the CPU min and max operators (#21492<https://redirect.github.com/microsoft/onnxruntime/issues/21492>)
* c39f1c4<microsoft/onnxruntime@c39f1c4> ORT- OVEP 1.19 PR-follow up (#21546<https://redirect.github.com/microsoft/onnxruntime/issues/21546>)
* b03c949<microsoft/onnxruntime@b03c949> [js/web] allow load WebAssembly binary from buffer (#21534<https://redirect.github.com/microsoft/onnxruntime/issues/21534>)
* 0d7cf30<microsoft/onnxruntime@0d7cf30> [js/webgpu] Add activation Tanh (#21540<https://redirect.github.com/microsoft/onnxruntime/issues/21540>)
* Additional commits viewable in compare view<microsoft/onnxruntime@v1.18.1...v1.19.0>
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#27
Commit Summary
* 1a3dca4<1a3dca4> Bump onnxruntime from 1.18.1 to 1.19.0
File Changes
(1 file<https://github.com/vasudev-gm/magika_demo/pull/27/files>)
* M requirements.txt<https://github.com/vasudev-gm/magika_demo/pull/27/files#diff-4d7c51b1efe9043e44439a949dfd92e5827321b34082903477fd04876edb7552> (2)
Patch Links:
* https://github.com/vasudev-gm/magika_demo/pull/27.patch
* https://github.com/vasudev-gm/magika_demo/pull/27.diff
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Bumps onnxruntime from 1.18.1 to 1.19.0.
Release notes
Sourced from onnxruntime's releases.
... (truncated)
Commits
530a2d7Enable FP16 Clip and Handle Bias in FP16 Depthwise Conv (#21493)82036b0Remove references to the outdated CUDA EP factory method (#21549)07d3be5CoreML: Add ML Program Split Op (#21456)5d78b9a[TensorRT EP] Update TRT OSS Parser to 10.2 (#21552)8417c32Keep QDQ nodes w/ nonpositive scale around MaxPool (#21182)d985814Update labeling bot (#21548)7543dd0Propagate NaNs in the CPU min and max operators (#21492)c39f1c4ORT- OVEP 1.19 PR-follow up (#21546)b03c949[js/web] allow load WebAssembly binary from buffer (#21534)0d7cf30[js/webgpu] Add activation Tanh (#21540)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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