fix(deps): Bump the dotnet group with 1 update

[dependabot]

Updated Microsoft.ML.OnnxRuntime from 1.30.0 to 1.31.0.

Release notes

Sourced from Microsoft.ML.OnnxRuntime's releases.

1.31.0

ONNX Runtime 1.31.0 stabilizes model-package and EPContext data APIs, improves CPU model loading and quantized MoE inference, expands device-based execution-provider selection, and strengthens model-loading and runtime reliability. These notes cover changes since ONNX Runtime 1.30.0. CUDA and WebGPU kernel updates are summarized here; detailed provider notes are covered by their separate plugin EP releases.

Highlights

• Promoted the model-package API and EPContext data callbacks to stable C and C++ APIs, with EPContext callback support added across language bindings (#​33166, #​32265).
• Reduced CPU session-initialization overhead by parallelizing eligible weight prepacking, and accelerated block-wise INT4/INT8 QMoE experts with MLAS QNBit kernels and grouped expert dispatch (#​31691, #​32644, #​32668).
• Added x86 FP16 LayerNorm/RMSNorm acceleration, Arm KleidiAI SVE2.1 FP16 GEMM support, and additional RISC-V vector kernels (#​32715, #​32670, #​32710).
• Enabled CoreML participation in device-based EP selection, including Apple Neural Engine selection through PREFER_NPU (#​31975).
• Added workspace-memory accounting and verification for constrained-memory graph partitioning, alongside broader model, graph, and tensor validation (#​31962, #​32189).

Announcements & Compatibility

• CUDA Plugin EP v0.3.0 and WebGPU Plugin EP v0.5.0 are matched with ONNX Runtime 1.31.0. For contrib-op compatibility, core and the plugin must use the same contributed-operator schemas; building both from the same ONNX Runtime revision is recommended. Schema mismatches can cause incorrect execution or crashes and may not be detected during plugin registration.
• GatherBlockQuantized behavior change: out-of-range indices now produce zero output slices across CPU, CUDA, and WebGPU for both integer and floating-point quantized formats. This deliberately differs from ONNX Gather error semantics (#​32480).
• Experimental API migration: model-package consumers should use OrtApi::GetModelPackageApi and the stable OrtModelPackageApi table. EPContext callback registration now uses stable APIs; the corresponding experimental lookup entries were removed. The stable native callback contract carries callback/state pointers, with payload limits enforced by application callbacks, bindings, or EPs rather than a native read-options policy (#​33166, #​32265).
• ACL EP is deprecated and will be removed in a future release. Source builds using --use_acl now receive a deprecation warning (#​32564).
• The ONNX dependency remains at 1.22.0. The initial ONNX 1.23 integration was reverted pending upstream fixes; this release does not ship that integration's new opset or FLOAT6 support (#​33073).
• Supported native builds now default to 1DS telemetry. Windows TraceLogging remains selectable with --use_windows_telemetry or onnxruntime_USE_WINDOWS_TELEMETRY=ON; telemetry can be disabled with --no_telemetry (#​32384).

New Features

Core APIs & Runtime

• Stabilized the model-package C and C++ APIs for loading packages, selecting compatible model variants, and creating sessions (#​33166).
• Stabilized named EPContext data read/write callbacks for application-managed storage. Added EP support negotiation so registered callbacks do not silently fall back to filesystem I/O (#​32265).
• Extended the Compile API to write external initializers and EP context data to buffers, enabling in-memory compilation workflows for models larger than 2 GB (#​31347).
• Added workspace-memory accounting, source reporting, and post-partition reservation verification. Set session.strict_workspace_verification=1 to fail initialization on workspace declaration overruns or nonzero orphaned reservations; strict verification is not supported for ORT-format model loads (#​31962, #​32189).
• Added the opt-in source-build option onnxruntime_DISABLE_DEVICE_DISCOVERY=ON to skip platform accelerator probing and report only the CPU device (#​32592).

Shared Contrib Operators

These updates affect core operator schemas and cross-provider behavior, not only the separately released GPU plugins.

• Extended EngramGate and NGramHashMapping for Qwen4-Exp, and added VarlenNGramHashMapping for packed DeepSeek Engram batching with request-local history. Packed hashing also supports Qwen4-Exp head offsets, EOS resets, and segment boundaries (#​32285, #​32358, #​32467).
• Added the activation attribute to GatedRMSNorm for SiLU, its Swish alias, and Sigmoid gating across CPU, CUDA, and WebGPU. SiLU remains the default (#​32512).
• Added weightless hyper-connection operators BranchwiseRMSNorm, ScaledSiLU, HyperConnectionPreMix, and HyperConnectionPostMix, with CPU, CUDA, and WebGPU implementations (#​32687).
• Extended GatherBlockQuantized to FP8/FP4 data, full-axis blocks, and scale broadcasting, and improved CPU UINT8 dequantization. See the out-of-range-index behavior change above (#​32480, #​32621).

Plugin Execution Provider Infrastructure

• Added support for statically linked plugin EPs, with a static WebGPU plugin build configuration (#​32395).
• Preserved caller streams in single-tensor plugin data transfers and handled null plugin allocator returns (#​32666, #​32683).
• Deduplicated AutoEP custom-op domains and corrected EP assignment reporting after NHWC layout transformation (#​32711, #​33184).
• Added reference guidance for compiled-model compatibility validation, including multi-device scenarios (#​29168).

Execution Provider Updates

CUDA EP

CUDA updates include sparse attention and packed continuous batching, expanded paged speculative decoding, INT2 and mixed-width QMoE execution, opt-in MatMul auto-tuning, improved MXFP4 support on Blackwell consumer GPUs, and reliability fixes.
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