Bump Microsoft.ML.OnnxRuntime from 1.25.1 to 1.26.0

[dependabot]

Updated Microsoft.ML.OnnxRuntime from 1.25.1 to 1.26.0.

Release notes

Sourced from Microsoft.ML.OnnxRuntime's releases.

1.26.0

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-<os>-<arch>-gpu_cuda13-<version>.<ext>
• 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<80 and masked-batch NaN behavior (#​27831).
  • Added FP32 QK accumulation path for unfused GQA attention (#​28198).
  • Added CUDART_VERSION reduction compatibility in GQA attention (#​28296).
  • Fixed CUDA 13 build error in GQA unfused attention (#​28309).
  • PagedAttention fallback for SM<80 fp16 (#​28200).
• MLAS updates:
  • FP16 Gelu enablement (#​26815).
  • Arm64 BF16 fast-math conv kernels for NCHW/NCHWc paths (#​27878).

WebGPU, WebNN, and JavaScript

... (truncated)

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