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ONNX Runtime v1.22

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@MaanavD MaanavD released this 10 May 01:14
v1.22.0
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Announcements

  • This release introduces new API's for Model Editor, Auto EP infrastructure, and AOT Compile
  • OnnxRuntime GPU packages require CUDA 12.x , packages built for CUDA 11.x are no longer published.
  • The min supported Windows version is now 10.0.19041.

GenAI & Advanced Model Features

  • Constrained Decoding: Introduced new capabilities for constrained decoding, offering more control over generative AI model outputs.

Execution & Core Optimizations

Core

  • Auto EP Selection Infrastructure: Added foundational infrastructure to enable automatic selection of Execution Providers via selection policies, aiming to simplify configuration and optimize performance. (Pull Request #24430)
  • Compile API: Introduced new APIs to support explicit compilation of ONNX models.
  • Model Editor API api's for creating or editing ONNX models

Execution Provider (EP) Updates

CPU EP/MLAS

  • KleidiAI Integration: Integrated KleidiAI into ONNX Runtime/MLAS for enhanced performance on Arm architectures.
  • MatMulNBits Support: Added support for MatMulNBits, enabling matrix multiplication with weights quantized to 8 bits.
  • GroupQueryAttention optimizations and enhancements

OpenVINO EP

  • Added support up to OpenVINO 2025.1
  • Introduced Intel compiler level optimizations for QDQ models.
  • Added support to select Intel devices based on LUID
  • Load_config feature improvement to support AUTO, HETERO and MULTI plugin.
  • misc bugfixes/optimizations
  • For detailed updates, refer to Pull Request #24394: ONNXRuntime OpenVINO - Release 1.22

QNN EP

  • SDK Update: Added support for QNN SDK 2.33.2.
  • operator updates/support to Sum, Softmax, Upsample, Expand, ScatterND, Einsum
  • QNN EP can be built as shared or static library.
  • enable QnnGpu backend
  • For detailed updates refer to recent QNN tagged PR's

TensorRT EP

  • TensorRT Version: Added support for TensorRT 10.9.
    • Note for onnx-tensorrt open-source parser users: Please check here for specific requirements (Referencing 1.21 link as a placeholder, this should be updated for 1.22).
  • New Features:
    • EP option to enable TRT Preview Feature
    • Support to load TensorRT V3 plugin
  • Bug Fixes:
    • Resolved an issue related to multithreading scenarios.
    • Fixed incorrect GPU usage that affected both TensorRT EP and CUDA EP.

NV TensorRT RTX EP

  • New Execution Provider: Introduced a new Execution Provider specifically for Nvidia RTX GPUs, leveraging TensorRT for optimized performance.

CUDA EP

  • MatMulNBits Enhancement: Added support for 8-bit weight-only quantization in MatMulNBits.
  • Bug Fixes:
    • Fixed incorrect GPU usage (also mentioned under TensorRT EP).

VitisAI EP

  • Miscellaneous bug fixes and improvements.

Infrastructure & Build Improvements

Build System & Packages

  • QNN Nuget Package: The QNN Nuget package is now built as ARM64x.

Dependencies / Version Updates

  • CUDA Version Update: This release includes an update to the CUDA version. Users should consult the documentation for specific version requirements. CUDA 11 based GPU packages no longer published.

Web

  • WebGPU Expansion:
    • Added WebGPU support to the node.js package (Windows and macOS).
    • Enabled WebGPU when building from source for macOS, Linux, and Windows.

Mobile

  • No major updates of note this release.

Contributions

Contributors to ONNX Runtime include members across teams at Microsoft, along with our community members:

Yulong Wang, Jian Chen, Changming Sun, Satya Kumar Jandhyala, Hector Li, Prathik Rao, Adrian Lizarraga, Jiajia Qin, Scott McKay, Jie Chen, Tianlei Wu, Edward Chen, Wanming Lin, xhcao, vraspar, Dmitri Smirnov, Jing Fang, Yifan Li, Caroline Zhu, Jianhui Dai, Chi Lo, Guenther Schmuelling, Ryan Hill, Sushanth Rajasankar, Yi-Hong Lyu, Ankit Maheshkar, Artur Wojcik, Baiju Meswani, David Fan, Enrico Galli, Hans, Jambay Kinley, John Paul, Peishen Yan, Yateng Hong, amarin16, chuteng-quic, kunal-vaishnavi, quic-hungjuiw, Alessio Soldano, Andreas Hussing, Ashish Garg, Ashwath Shankarnarayan, Chengdong Liang, Clément Péron, Erick Muñoz, Fanchen Kong, George Wu, Haik Silm, Jagadish Krishnamoorthy, Justin Chu, Karim Vadsariya, Kevin Chen, Mark Schofield, Masaya, Kato, Michael Tyler, Nenad Banfic, Ningxin Hu, Praveen G, Preetha Veeramalai, Ranjit Ranjan, Seungtaek Kim, Ti-Tai Wang, Xiaofei Han, Yueqing Zhang, co63oc, derdeljan-msft, genmingz@AMD, jiangzhaoming, jing-bao, kuanyul-quic, liqun Fu, minfhong-quic, mingyue, quic-tirupath, quic-zhaoxul, saurabh, selenayang888, sfatimar, sheetalarkadam, virajwad, zz002, Ștefan Talpalaru

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