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microsoft/onnxruntime v1.26.0

microsoft/onnxruntime

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1.26.0

Repository: microsoft/onnxruntime

Tag: v1.26.0

Published: 2026-05-08T19:24:39Z

Prerelease: no

Release notes: n.b. The following was generated via LLM from Git history. Only the contributor list has been verified.

ONNX Runtime Release 1.26.0

Announcement - Breaking Changes

  • Support for CUDA 12 will be removed in 1.27.0.
  • CUDA 13 will continue to be published as onnxruntime---gpu_cuda13-.
  • CUDA runtime will be moving soon to a dedicated Execution Provider (EP) instead of a published package from ORT core.

Highlights

  • Added optional memory mapping for .ort model loads (#28164).
  • Added RISC-V Vector (RVV) support for CPU EP (#28261).
  • OpenVINO EP upgraded for 1.26.0 development release (#28297).
  • WebGPU gained GridSample support (#28264) and Split-K improvements (#28151).
  • CUDA plugin EP gained graph support (#28002), profiling API (#28216).

Security and Reliability Hardening

  • Replaced unrestricted Python setattr configuration with an allowlist (#28083).
  • Hardened multiple OOB and overflow scenarios across ML and core ops:
  • Attention mask index OOB write (#27789).
  • MaxPoolGrad indices bounds validation (#27903).
  • SVM and TreeEnsemble bounds/security fixes (#27950, #27951, #27952, #27989).
  • RNN sequence_lens OOB read and integer overflow handling (#28052, #28003).
  • GroupQueryAttention seqlens_k bounds validation and compatibility follow-up (#28031, #28259).
  • MatMulBnb4 and ML coefficient SafeInt checks (#27995, #28001).
  • CUDA Gather int32 overflow fix (#28108).
  • GridSample float->int64 cast hardening for NaN/Inf/out-of-range coords (#28302).
  • Fixed session logger use-after-free during EP teardown under verbose logging (#28274).

CUDA, Attention, and MLAS

  • Filled CUDA opset/operator gaps and extended support:
  • Transpose opset 23 -> 25 (#27740).
  • QuantizeLinear/DequantizeLinear opset 25 (#28046).
  • CUDA TopK INT8/INT16/UINT8 support (#27862).
  • LabelEncoder CUDA support for numeric types (#28045).
  • Attention/GQA improvements:
  • Fixed ONNX Attention min-bias alignment crash on SM 1 (#28151).
  • MatMulNBits refactor and batching improvements (#28109, #28197).
  • MHA correctness fix when present outputs are not requested (#28027).
  • Buffer upload overflow fix (#27948).
  • Position ID bounds validation in WebGPU/JS RotaryEmbedding (#28214).
  • WebNN change:
  • Renamed pool2d property roundingType -> outputShapeRounding (#28172).
  • JavaScript ecosystem maintenance:
  • Multiple dependency bumps.

Plugin EP and EP Ecosystem

  • CUDA plugin EP:
  • Graph capture/replay support ported and expanded (#27958, #28002).
  • Sync support for IOBinding (#27919).
  • Profiling API implementation (#28216).
  • Resource accounting integration (#28028).
  • WebGPU plugin EP:
  • Pipeline updates and API init error handling fixes (#28121, #28211).
  • Other EP updates:
  • CoreML: HardSigmoid and QuickGelu support; Pad reflect support/fixes (#28182, #28184, #28073, #28062).
  • NvTensorRTRTX compatibility and diagnostics updates (#28263, #27577).
  • QNN file-mapping guard improvements (#27871).

Contributors

@tianleiwu, @yuslepukhin, @edgchen1, @vraspar, @hariharans29, @skottmckay, @eserscor, @xadupre, @sanaa-hamel-microsoft, @elwhyjay, @Rishi-Dave, @titaiwangms, @adrianlizarraga, @jatinwadhwa921, @jchen10, @Jiawei-Shao,…

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Notability

notability 7.0/10

New major version of popular ML runtime