GeezerVison is showing github.com — Bump onnxruntime from 1.20.1 to 1.21.0 by dependabot[bot] · Pull Request #1256 · stacklok/codegate
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Bumps onnxruntime from 1.20.1 to 1.21.0.
Release notes
Sourced from onnxruntime's releases.
ONNX Runtime v1.21
Announcements
- No large announcements of note this release! We've made a lot of small refinements to streamline your ONNX Runtime experience.
GenAI & Advanced Model Features
Enhanced Decoding & Pipeline Support
- Added "chat mode" support for CPU, GPU, and WebGPU.
- Provided support for decoder model pipelines.
- Added support for Java API for MultiLoRA.
API & Compatibility Updates
Bug Fixes for Model Output
- Fixed Phi series garbage output issues with long prompts.
- Resolved gibberish issues with
top_k on CPU.
Execution & Core Optimizations
Core Refinements
- Reduced default logger usage for improved efficiency(#23030).
- Fixed a visibility issue in theadpool (#23098).
Execution Provider (EP) Updates
General
- Removed TVM EP from the source tree(#22827).
- Marked NNAPI EP for deprecation (following Google's deprecation of NNAPI).
- Fixed a DLL delay loading issue that impacts WebGPU EP and DirectML EP's usability on Windows (#23111, #23227)
TensorRT EP Improvements
- Added support for TensorRT 10.8.
- Assigned DDS ops (
NMS, RoiAlign, NonZero) to TensorRT by default.
- Introduced option
trt_op_types_to_exclude to exclude specific ops from TensorRT assignment.
QNN EP Improvements
- Introduced QNN shared memory support.
- Improved performance for AI Hub models.
- Added support for QAIRT/QNN SDK 2.31.
- Added Python 3.13 package.
- Miscellaneous bug fixes and enhancements.
- QNN EP is now built as a shared library/DLL by default. To retain previous build behavior, use build option
--use_qnn static_lib.
DirectML EP Support & Upgrades
- Updated DirectML version from 1.15.2 to 1.15.4(#22635).
OpenVINO EP Improvements
- Introduced OpenVINO EP Weights Sharing feature.
- Added support for various contrib Ops in OVEP:
SkipLayerNormalization, MatMulNBits, FusedGemm, FusedConv, EmbedLayerNormalization, BiasGelu, Attention, DynamicQuantizeMatMul, FusedMatMul, QuickGelu, SkipSimplifiedLayerNormalization
... (truncated)
Commits
e0b66ca Round 2 of cherry-picks into rel-1.21.0 (#23899)
beb1a92 Cherry-picks into rel-1.21.0 (#23846)
98511b0 Set build user's uid when creating Migraphx/ROCM docker images (#23657)
23f787e [TensorRT EP] Add new provider option to exclude ops from running on TRT (#23...
1b0a2ba Update cmake_cuda_architecture to control package size (#23671)
8eb5513 [webgpu] Implement SubGroupMatrix based MatMulNBits for Metal (#23729)
d82604e [Optimizer] Fix exception for Q -> DQ sequence with different scale types (#2...
754ee21 OVEP: Bug Fixes, Refactoring, and Contrib Ops Update (#23742)
6715d4c Shape inference: GatherBlockQuantized dispatcher (#23748)
75cf166 [QNN EP] Passthrough EP Parameters in Node (#23468)
- Additional commits viewable in compare view

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