build(deps): bump com.microsoft.onnxruntime:onnxruntime from 1.30.0 to 1.31.0

[dependabot]

Bumps com.microsoft.onnxruntime:onnxruntime from 1.30.0 to 1.31.0.

Release notes

Sourced from com.microsoft.onnxruntime:onnxruntime's releases.

ONNX Runtime v1.31.0

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

... (truncated)

Commits

• 402979a Revert "Bump version to 1.32.0 (#33197)" (#33212)
• 660125b [Compile API] Add support for writing external initializers and EP context to...
• 06cab16 Update parameterized requirement from >=0.8.1 to >=0.9.0 (#33022)
• 864d871 Fix isolated provider tests in Windows GPU CI (#33203)
• 1744702 Bump baseline-browser-mapping from 2.10.31 to 2.11.26 in /js/react_native/e2e...
• be3b8e8 Fix complex STFT window handling (#33136)
• 40a7167 [CPU] Avoid degenerate GQA FlashAttention tiles when L2 cache size is unknown...
• 430f563 Fix EP assignment reporting after NHWC layout transformation (#33184)
• 26ab6c7 Improve GQA shared-cache and sliding-window handling (#33175)
• d8024cd Improve CUDA RMSNorm reduction and aligned half2 output (#33178)
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