Bump Avalonia and 10 others

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Updated Avalonia from 11.3.22 to 12.0.0.

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Updated Material.Icons.Avalonia from 2.4.1 to 2.4.3.

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Pinned Microsoft.Data.Sqlite at 10.0.13.

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Pinned Microsoft.Extensions.FileSystemGlobbing at 10.0.13.

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Pinned Microsoft.ML.OnnxRuntime at 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.
... (truncated)

1.30.0

ONNX Runtime 1.30.0 expands generative AI inference, improves CPU and GPU performance, adds Go bindings, and strengthens runtime reliability. These notes cover changes since ONNX Runtime 1.29.1.

Highlights

• Expanded CUDA inference support with variable-length causal convolution for continuous batching, speculative decoding in paged XQA, and INT4 paged KV caches with per-channel scales (#​32168, #​32340, #​32515).
• Improved WebGPU PagedAttention, added GPT-OSS support and INT8 KV-cache block quantization, and extended convolution optimizations (#​31727, #​32277, #​32284, #​32420).
• Added fused CPU LinearAttention kernels for AVX-512, Arm64 NEON, and SVE, plus AVX2 LayerNorm/RMSNorm acceleration (#​31674, #​31973, #​32178, #​32356).
• Added Go bindings for the ONNX Runtime C API and DeepSeek Engram contrib operators (#​29615, #​32268).

Announcements & Compatibility

• FP4 QMoE kernels are now enabled by default in CUDA builds, with Windows build support added in this release. Source builds can opt out with -Donnxruntime_USE_FP4_QMOE=OFF (#​32096, #​32163).
• CUDA fpA-intB builds now default to a compact kernel set for FP16 activations, INT4/INT8 weights, scale-only quantization, and block_size=32. Set -Donnxruntime_USE_FPA_INTB_GEMM_FULL=ON when building from source to retain the full kernel set, including BF16, zero-point, bias, larger-block-size, and native Hopper variants (#​32324).
• CPU FP16 Gemm and MatMul execution is gated on hardware acceleration. CPU-assigned FP16 nodes without a matching kernel now fall back to FP32 (#​32301, #​32197).
• WebGPU plugin EP packaging now supports Linux AArch64. Plugin versions were advanced to WebGPU 0.4.0 and CUDA 0.2 (#​32287, #​31960, #​31970).

Security & Reliability

Model Loading, Memory, and Input Validation

• Limited nested model-graph depth and canonicalized external-data locations to harden model loading (#​32344, #​32135).
• Added checked rounding for BFC arena allocations and fixed prepacked-weight reference lifetimes (#​32010, #​32040).
• Strengthened shape, rank, and parameter validation for Split, Scan, GatherND, ScatterND, SpaceToDepth/DepthToSpace, Crop, Conv, Normalizer, and pooling (#​29461, #​31668, #​32034, #​32039, #​32076, #​32157, #​32160, #​32161, #​32345, #​32349).
• Hardened generation and attention input handling, including attention-attribute narrowing, BifurcationDetector inputs, generation subgraph shapes, and QEmbed segment inputs. BeamSearch buffer expansion now uses dynamic shape storage (#​31648, #​31701, #​32009, #​32078, #​32144).
• Validated TreeEnsemble node references and bounded subtree comparison, rejected non-finite CPU RoiAlign coordinates, and required ImageScaler bias to match the channel count (#​32031, #​32043, #​32011, #​32002).
• Added an allowlist of safe LoRA adapter parameter data types, validated MatMulFpQ4 shape inputs, and checked MLAS blockwise quantization/dequantization index ranges (#​31682, #​32032, #​32007).

GPU Bounds and Resource Lifetimes

• Hardened CUDA indexing and buffer-size arithmetic in MatMulNBits, RemovePadding, RotaryEmbedding, SparseAttention, Whisper beam search, NMS, QDQ, and GatherElements (#​31643, #​31994, #​31995, #​31996, #​31998, #​32014, #​32029, #​32030).
• Fixed overflow in CUDA reduction scans and Softmax offset arithmetic, and handled zero-sized outputs in CUDA random-generator kernels (#​32137, #​32330, #​31997).
• Fixed CUDA MultiHeadAttention shared-cache scratch lifetimes and kept CudaAsyncBuffer staging storage alive across CUDA graph replay (#​31968, #​32121).
• Fixed WebGPU out-of-bounds subgroup-matrix loads for partial tiles, zero-initialized writable device-allocator buffers, and rejected foreign GPU handles in built-in data transfers (#​32364, #​32063, #​32317).

Dependencies and Tooling

• Upgraded Protobuf to 33.6 and refreshed Python documentation dependencies, including an ONNX security-related update (#​29906, #​32190, #​32424).
• Updated JavaScript dependencies including js-yaml, joi, fast-uri, and the Next.js end-to-end fixture (#​32397, #​32486, #​32488, #​32505, #​32508).
• Pinned GitHub Actions to full-length commit SHAs and strengthened packaging infrastructure with authenticated package feeds and NPM network isolation (#​32176, #​32005, #​32440).

New Features

Core APIs & Runtime

• Added Go bindings for the ONNX Runtime C API (#​29615).
• Extended memory importing with host-pointer support and added access to preallocated outputs through KernelContext::GetPreallocatedOutput (#​29726, #​32089).
• Added packed-attention workspace recipes and estimates, and made workspace input-shape handling aware of optional inputs (#​32283, #​32321, #​32312).
• Added DeepSeek Engram contrib operators, EngramGate and NGramHashMapping, and expanded kernel coverage for Qwen-3.5 operators (#​32268, #​32106).

Plugin Execution Providers

... (truncated)

1.29.1

This is a patch release on top of v1.29.0, containing GroupQueryAttention capability and KV-cache layout improvements, plugin Execution Provider performance tooling updates, and targeted graph and optimizer fixes.

GroupQueryAttention

• Added bidirectional GroupQueryAttention support on CPU and CUDA through a backward-compatible causal attribute, with explicit handling for unsupported execution paths (#​31704)
• Added a session option and Execution Provider metadata contract for using the BNHS Value KV-cache layout, with graph transformations that preserve compatibility with the existing BNSH operator schema (#​32139)
• Added CPU support for attention_bias with a sliding-window KV cache, including explicit position IDs and post-eviction bias indexing (#​32302)

Runtime and Performance Tools

• Fixed Compile API model serialization when output-model and custom initializer-location callbacks are used together, preventing duplicate graph fields in emitted models (#​32303)
• Updated onnxruntime_perf_test to use plugin Execution Provider device allocators for generated inputs, loaded test data, and pre-allocated outputs, avoiding unnecessary per-run host/device copies (#​32244)

Bug Fixes and Documentation

• Hardened FastGelu fusion to skip malformed Mul and Pow patterns (#​32016)
• Added validation for in-memory external initializer references, rejecting unregistered or mismatched data before graph transformation (#​32042)
• Restored the C API documentation workflow by switching the pinned Doxygen download to the official GitHub release asset (#​32210)

Contributors

Thanks to our 7 contributors for this release!

@​adrastogi, @​apsonawane, @​edgchen1, @​javier-intel, @​jnagi-intel, @​tianleiwu, @​Wayne-Ch

_{Release highlights were drafted with AI assistance and are subject to release-team review.}

Full Changelog: v1.29.0...v1.29.1

1.29.0

Announcements & Breaking Changes

• onnxruntime-web has announced the deprecation of WebGL and JSEP. The native WebGPU EP is the recommended path going forward. See the deprecation and migration plans for details (#​29716, #​31683).
• POSIX telemetry is now available on Linux, macOS, Android, and iOS when ONNX Runtime is built with telemetry enabled. It does not change the public ABI, WebAssembly remains telemetry-free, and setting ORT_DISABLE_TELEMETRY=1 before initialization disables non-Windows telemetry for the process (#​27379, #​29872).
• The unused internal onnxruntime/python/tools/tensorrt dashboard tooling was removed. This does not affect the TensorRT Execution Provider APIs (#​29395).

Security Fixes

Path, bounds, and input validation

• Fixed a path traversal vulnerability in TensorRT and NvTensorRTRTX engine refitting by making external-data path validation unconditional (#​29396).
• Validated the CPU MoE k attribute against the number of experts and fixed a CPU TensorScatter security issue (#​29907, #​29916).
• Added missing rank, shape, and parameter validation for pooling, LSTM and DynamicQuantizeLSTM, Sampling, FeatureVectorizer, SkipLayerNorm, QLinearConv, Whisper decoding, RNN activations, GridSample, contrib Range, and CropAndResize (#​29254, #​29255, #​29265, #​29579, #​29595, #​29605, #​29871, #​31636, #​31671, #​31675, #​31676, #​31684).
• Hardened CUDA indexing and buffer handling in GridSample, transpose, GatherBlockQuantized, InstanceNormalization, LayerNorm/RMSNorm, BeamSearch, DeformConv, AveragePool, and MaxPool (#​29581, #​29631, #​29638, #​31640, #​31642, #​31644, #​31645, #​31647, #​31650).
• Fixed packed sub-byte tensor over-copying in OrtApi::GetValue and validated DML constant tensor byte sizes (#​29157, #​31665).

Supply chain and tooling

• Updated npm lockfiles, refreshed the Next.js end-to-end fixture lockfile for security advisories, and upgraded adm-zip for onnxruntime-node (#​29827, #​29926, #​31192).

New Features

Core APIs & Runtime

• Default intra-op and inter-op thread-pool sizes can now be set with ORT_INTRA_OP_NUM_THREADS and ORT_INTER_OP_NUM_THREADS. Explicit thread settings still take precedence, and 0 preserves machine-sized defaults (#​29688).
• Added weightless-model support for all initializer types, allowed zero-input EpContext nodes, and wired maximum-shape inference into workspace estimation (#​29607, #​29799, #​31613).
• Added ONNX-domain support for rotary embedding and a fused MRotaryEmbedding contrib operator for Qwen mRoPE variants (#​29261, #​31728).
• Added multi-shape profiling to onnxruntime_perf_test through --data_shape, plus verbose graph-transformer tracing and broader inference-session error-path coverage (#​29555, #​29558, #​29569, #​29571).

Execution Provider ABI & Plugin EPs

• WebGPU now supports device-free compile-only sessions for offline graph transformation (#​29681).
• Expanded CUDA plugin EP packaging and testing, including Windows ARM64 package and size options, updated package outputs, and aligned architecture selections across Python, C API, TensorRT, Node.js, and plugin packages (#​31635, #​31722, #​31992).
• Improved plugin lifecycle handling by unloading failed EP library loads and fixing allocator-deleter lifetime (#​29634, #​29770).

Execution Provider Updates

NVIDIA CUDA EP

Attention and decoding

• Added PagedAttention with quantized KV cache, XQA decode, MLA, QK-Norm, and head-sink support (#​29912).
• Extended quantized KV-cache support with attention sinks, independent and per-channel scales, sliding-window cache support, and a fused K/V dequantization launch (#​29900, #​29904, #​31480).
• Added a cuDNN SDPA decode tier to the standard ONNX Attention CUDA kernel and enabled cuDNN SDPA for contrib Attention (#​29715, #​29717).
• Added attention_bias support to the GroupQueryAttention unfused path and state_window support to LinearAttention and CausalConvWithState for MTP (#​29525, #​31157).
• Fixed LinearAttention on GPUs with limited shared memory (#​31982).

MoE and quantized GEMM

• Added NVFP4 QMoE, including native FP4xFP4 prefill on SM120, faster decode GEMV, fused routing/finalization paths, and reduced activation and weight-dequantization overhead (#​29697, #​29824, #​29887, #​29919, #​31156, #​31159, #​31349, #​31479).
  ... (truncated)

1.28.3

This is a patch release on top of v1.28.2, containing memory-safety and model-validation fixes, a plugin execution fix, and packaging infrastructure updates.

Highlights

Bug Fixes

• Fixed an out-of-bounds read in EmbedLayerNormalization shape inference when beta is a scalar (#​32610).
• Fixed a heap buffer overflow when reusing a packed sub-byte buffer for a full-byte tensor (#​32611).
• Fixed an out-of-bounds read when a Loop or Scan body input is also an initializer (#​32609).
• Hardened shape inference for applicable contrib operators, including GroupQueryAttention, SparseAttention, and CausalConvWithState (#​32607).
• Fixed out-of-bounds reads in ConvTransposeWithDynamicPads and InferenceContextImpl::getInputData (#​32679, #​32681).
• Rejected invalid graph structures: inputs to a zero-input operator schema and subgraphs on non-control-flow nodes (#​32633, #​32641).
• Preserved streams during single-tensor data transfers in the plugin EP (#​32666).

Build and Test Reliability

• Unblocked packaging with Linux image prerequisites and an authenticated ARM64 pip index, mirrored Dawn checkouts, authenticated Android pip and Gradle feeds, and authenticated NuGet feeds for mobile workloads (#​31724, #​29743, #​32400, #​32005).
• Installed uuid-dev for the Linux minimal CoreML build and removed the Hugging Face download dependency from a quantization test (#​32491, #​32443).

Contributors

Thanks to our 10 contributors for this release!

@​wangw-1991, @​bbernhar, @​shiyi9801, @​tianleiwu, @​adrastogi, @​eserscor, @​jiafatom, @​miaobin, @​sanaa-hamel-microsoft, @​xiaofeihan1

Full Changelog: v1.28.2...v1.28.3

These release notes were drafted with assistance from GitHub Copilot.

1.28.2

This is a patch release on top of v1.28.1, containing a targeted fix for Compile API model serialization.

Highlights

Bug Fixes

• Fixed Compile API callback serialization to prevent duplicate graph nodes, inputs, outputs, and value information in emitted optimized models, including models with embedded or external initializers (#​32303)

Contributors

Thanks to our contributor for this release!

@​adrastogi

Full Changelog: v1.28.1...v1.28.2

These release notes were drafted with assistance from GitHub Copilot.

1.28.1

This is a patch release on top of v1.28.0, containing support for device-free WebGPU compilation, improved compatibility with sandboxed Windows processes, and targeted graph-validation fixes.

WebGPU EP

• Added support for device-free compile-only sessions, enabling offline graph transformation and optimized-model serialization without access to GPU hardware (#​29681)

Bug Fixes

• Prevented an access violation in Windows processes under Win32k lockdown by skipping DXGI device discovery (#​29755)
• Allowed zero-input EPContext nodes, aligning their schema with support for compiling zero-input models (#​29799)
• Hardened FastGelu fusion to skip malformed Mul and Pow patterns (#​32016)
• Added validation for in-memory external initializer references, rejecting unregistered or mismatched data before graph transformation (#​32042)

Contributors

Thanks to our 4 contributors for this release!

@​apsonawane, @​shiyi9801, @​adrastogi, @​mingmingtasd

Full Changelog: v1.28.0...v1.28.1

1.28.0

Announcements & Breaking Changes

• Upgraded to ONNX 1.22.0 and protobuf 6.33.5 (#​28754, #​29606, #​28967). Graph optimizer opset version checks were updated accordingly (#​28966).
• cuDNN and cuFFT are now optional at runtime for the CUDA EP, and nvrtc is no longer linked, which significantly reduces the required CUDA redistributable footprint (#​29252, #​29808, #​29705, #​29620).
• An experimental C/C++ API surface was introduced. OrtModelPackageApi now lives in the experimental C API and may change in future releases (#​28746, #​29142, #​28990).
• Deprecated / removed:
  • SkipLayerNorm strict mode is deprecated (#​29388).
  • The TensorRT fused causal attention kernels were removed from the CUDA EP (#​29143).
  • The dynamic WGSL generator (duktape/Node) path was removed in favor of the Python wgsl-gen implementation (#​29141, #​28355).
  • CUDA_QUANT_PREPROCESS is off by default (#​29687).
• NPM packages are now published from the CUDA 13 pipeline (#​28773).
• The CUDA 12.8 package architecture list was refreshed for this release (#​29711).

Security Fixes

Memory safety & input validation

• Hardened the ORT FlatBuffer model loader against malformed buffers, and removed now-redundant table offset validation (#​28186, #​29068)
• Fixed type confusion in raw-pointer bind_input causing an out-of-bounds write (#​28839)
• Fixed out-of-bounds pointer in TensorAt for sub-byte packed types (#​28973)
• Fixed arbitrary memory read, out-of-bounds dereference, and other OOB accesses in kernels (#​28991, #​29011, #​29012, #​29014)
• Validated Col2Im inputs to prevent heap over-read (#​28706)
• Hardened CropAndResize against malformed crop_size tensors (#​28766)
• Validated BeamSearch vocab_size against logits width (#​28774)
• Fixed bounds in WhisperDecoderSubgraph::CreateInitialFeeds (#​29239)
• Validated SparseAttention CSR indices/key lengths and rejected zero-dimension block_row_indices (#​29015, #​29242)
• Clamped derived sequence lengths and KV-cache index in CUDA GroupQueryAttention, and fixed a CPU GQA out-of-bounds read in the past-KV buffer (#​29240, #​29447)
• Clamped 1D attention mask_index to valid bounds (#​29449)
• Validated MaxpoolWithMask kernel rank against input spatial rank (#​29253)
• Rejected CUDA BERT EmbedLayerNorm/SkipLayerNorm shapes exceeding 32-bit output indexing (#​29264)
• Fixed the optional-output guard in DecoderAttention/MultiHeadAttention shape inference and negative-axis handling in ExpandDims shape inference (#​29268, #​29448)
• Fixed TreeEnsemble target id validation and added input validation to LinearClassifier (#​29293, #​29060)
• Fixed DynamicQuantizeLSTM zero-point/scale validation typos (#​29462)
• Handled non-trivially-copyable types in Loop/Scan output concatenation (#​29397)
• Normalized bool tensor raw_data to {0, 1} on unpack (#​29238)
• Addressed hardening gaps in Resize, PadFusion, and LoRA handling (#​28779, #​28780, #​28801)
• Fixed unbounded lifetime on WithOutputTensor in the Rust bindings (#​29251)

Integer overflow & allocation size

• Guarded MlasConvPrepare working-buffer products and ConvTranspose pad computation with SafeInt (#​29444, #​29446)
• Fixed signed-int overflow in SamplingState::Init that could cause a heap buffer overflow (#​29443)
• Hardened QMoE against integer overflow and partial K tiles (#​29067)
• Validated B/scales/zero-points shape in MatMulNBits::PrePack (#​29445)
• Pre-checked ConstantOfShape output size against the input initializer before constant folding (#​28751)
• Fixed integer overflow in RKNPU implicit bias allocation (#​29249)
• Fixed WebGPU out-of-bounds reads in Pad (int64/int32 truncation), Slice, and GatherBlockQuantized (#​28721, #​28704, #​28718)

Supply chain & tooling

... (truncated)

1.27.1

This is a patch release on top of v1.27.0, containing targeted bug fixes, a CUDA QMoE decode-path optimization, and CI/build infrastructure fixes.

Bug Fixes

• [MLAS] Fixed an igemm regression in the KleidiAI path (#​28571)
• Fixed a QMoE CPU livelock by eliminating nested intra-op parallelism (#​29081)
• Fixed a regression in graph-capture session initialization that rejected an empty graph (#​29457)
• Fixed CustomOp forward compatibility by capping the version instead of rejecting it (#​29574)

Performance

NVIDIA CUDA EP

• Added a QMoE GEMV fast path for batch-1 decode (#​29038)

CI & Build Infrastructure

• Fixed an incorrect identity for azcopy (#​29274)
• Fixed a brew install applesimutils failure by trusting the wix/brew tap (#​29450)
• Upgraded to Xcode 26 (#​29468)
• Stopped echoing the command when setting a VSO variable in mac-cpu-packing-jobs.yml (#​29575)
• Fixed the web e2e (npm/vite) and Python DML CI pipelines (#​29609)

Contributors

Thanks to our 8 contributors for this release!

@​tianleiwu, @​chilo-ms, @​edgchen1, @​adrastogi, @​damdoo01-arm, @​JonathanC-ARM, @​martin-klacer-arm, @​sanaa-hamel-microsoft

Full Changelog: v1.27.0...v1.27.1

1.27.0

n.b. This release is targeting ONNX 1.21. ONNX 1.22 will be supported in ORT 1.28.
n.b. This changelog was generated via LLM. Only the contributor list has been verified. As always, only trust the commit history.

Announcements & Breaking Changes

• CUDA 12 package files are now explicitly named as such.
• CUDA 12 packages are deprecated, please move to CUDA 13 ASAP.

---

Security Fixes

• Fixed out-of-bounds read in SoftmaxCrossEntropyLoss via label bounds validation (#​28004)
• Hardened OneHot input validation and output-size computation (#​28014)
• Added SafeInt overflow protection in Expand and capped constant-folding output sizes (#​28055)
• Bounded total output allocation size in Tile kernel (#​28070)
• Added mask/input shape consistency checks in MaxpoolWithMask::Compute (#​28223)
• Fixed BitShift UB for shift amounts greater than or equal to bit width (#​28272)
• Validated sequence bounds in GQA (seqlens_k vs cos_cache) (#​28277)
• Validated conv bias shape in WordConvEmbedding to prevent OOB reads (#​28279)
• Fixed int32 overflow in CUDA Cast and UnaryElementWise kernels for very large tensors (#​28386)
• Fixed out-of-bounds read in CropBase scale handling (#​28399)
• Fixed rank-underflow bug in Inverse kernel trailing-dimension indexing (#​28400)
• Added sparse tensor external file path validation and additional external-path hardening (#​28408, #​28709, #​28725)
• Switched remaining torch.load() calls to weights_only=True (#​28421)
• Added CPU cache-indirection beam-index validation (#​28486)
• Added additional overflow/bounds checks and test coverage in runtime buffers (#​28713, #​28747)

---

New Features

Execution Provider Plugin API

• Added zero-copy I/O for plugin EPs with HOST_ACCESSIBLE memory (#​28037)
• Added OrtEp::OnSessionInitializationEnd() callback (#​28319)
• Added plugin EP session-options getters (#​28377)
• Added CUDA Plugin EP provider options for streams and external allocators (#​28603)

Core APIs & Runtime

• Added support for ONNX overloaded functions (IR v10+) (#​28275)
• Added FLOAT8E8M0 datatype support in ONNX Runtime (#​28381)
• Added CPU Cast support for FLOAT8E8M0 (#​28435)
• Added kOrtEpDevice_EpMetadataKey_OSDriverVersion example and docs (#​28282)

Quantization & Training Tooling

• Added calibration cache support to quantize_static (#​28221)
• Added ActivationRestrictedAsymmetric quantization option (#​28237)
  ... (truncated)

1.26.0

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

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

• WebGPU feature and correctness updates:
  ... (truncated)

1.25.1

n.b. This changelog is LLM generated. Only the contributor listing has been verified.

ONNX Runtime Release 1.25.1

📢 Announcements & Breaking Changes

ONNX Op Updates

• Enhanced ONNX operator support with new opset versions: Reshape (opset 25), Transpose (opset 24) (#​27752)

---

✨ New Features

📊 New ONNX Ops & Model Support

• LinearAttention and CausalConvState operators for Qwen3.5 model support (#​27907)
• RotaryEmbedding (RotEMB) and RMSNorm operators added (#​27752)
• Linear Attention signature support (#​27842)

---

🌐 Web & JavaScript

WebGPU EP

• Qwen3.5 model support on WebGPU execution provider (#​27996)
• QMoE 1-token decode path optimization — fused operations to reduce GPU dispatches for improved performance (#​27998)

---

🐛 Bug Fixes

Core Runtime Fixes

• Improved filesystem error messages during Linux device discovery for better debugging experience (#​27289)
• Fixed missing include for SetRawDataInTensorProto in NVIDIA TensorRT RTX tests (#​28065)

---

🙏 Contributors

Thanks to our 7 contributors for this release:
@​guschmue, @​sanaa-hamel-microsoft, @​apsonawane, @​eserscor, @​ishwar-raut1, @​qjia7, @​theHamsta

Full Changelog: microsoft/onnxruntime@v1.25.0...v1.25.1

1.25.0

📢 Announcements & Breaking Changes

Build & Platform

• C++20 is now required to build ONNX Runtime from source. Minimum toolchains: MSVC 19.29+, GCC 10+, Clang 10+. Users of prebuilt packages are unaffected. (#​27178)
• CUDA minimum version raised to 12.0 — CUDA 11.x is no longer supported. Users pinned to CUDA 11.x should stay on ORT 1.24.x or upgrade their CUDA toolkit/driver. (#​27570)
• ONNX upgraded to 1.21.0 (#​27601)
• sympy is now an optional dependency for Python builds. (#​27200)

Execution Provider Changes

• ArmNN EP has been removed. Users should remove any --use_armnn build flags and migrate to the MLAS/KleidiAI-backed CPU EP or QNN EP for Qualcomm hardware. (#​27447)

API Version

• ORT_API_VERSION updated to 25. (#​27280)

---

🔒 Security Fixes

• Fixed potential integer truncation leading to heap out-of-bounds read/write (#​27544)
• Addressed Pad Reflect vulnerability (#​27652)
• Security fix for transpose optimizer (#​27555)
• Upgraded minimatch 3.1.2 → 3.1.4 for CVE-2026-27904 (#​27667)
• Hardened shell command handling for constant strings (#​27840)
• Added validation of onnx::TensorProto data size before allocation (#​27547)
• Cleaned up external data path validation (#​27539)
• Fixed misaligned address reads for tensor attributes from raw data buffers (#​27312)
• Fixed CPU Attention overflow issue (#​27822)
• Fixed CPU LRN integer overflow issues (#​27886)
• Additional input validation hardening:
  • Tile kernel dim overflow (#​27566)
  • Out-of-bounds read in cross entropy (#​27568)
  • TreeEnsembleClassifier attributes (#​27571)
  • AffineGrid (#​27572)
  • EmbedLayerNorm position_ids (#​27573)
  • RotaryEmbedding position_ids (#​27597)
  • RoiAlign batch_indices (#​27603)
  • MaxUnpool indices (#​27432)
  • QMoECPU swiglu OOB (#​27748)
  • SVMClassifier initializer (#​27699)
  • Col2Im SafeInt (#​27625)

---

✨ New Features

🔌 Execution Provider Plugin API & CUDA Plugin EP

... (truncated)

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Updated Microsoft.NET.Test.Sdk from 18.10.1 to 18.11.0.

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Sourced from Microsoft.NET.Test.Sdk's releases.

18.11.0

What's Changed

• Fix TRX logger mangling astral-plane (non-BMP) characters by @​azat-msft in Fix TRX logger mangling astral-plane (non-BMP) characters microsoft/vstest#16318
• Disable the MTP testhost by default by @​nohwnd in Disable the MTP testhost by default microsoft/vstest#16337
• Fix OS-blind apphost probe in MTP bridge on Unix (regression from #​16201) by @​azat-msft in Fix OS-blind apphost probe in MTP bridge on Unix (regression from #16201) microsoft/vstest#16336
• Retarget the MTP client onto Microsoft.Testing.Platform.ServerMode.Client.Sources by @​nohwnd in Retarget the MTP client onto Microsoft.Testing.Platform.ServerMode.Client.Sources microsoft/vstest#16300
• Pass arguments to PowerShell with -File instead of -command by @​nohwnd in Pass arguments to PowerShell with -File instead of -command microsoft/vstest#16363
• Respect console logger verbosity from a settings file by @​nohwnd in Respect console logger verbosity from a settings file microsoft/vstest#16044
• Fix backslash normalization in VSTestCLIRunSettings on Unix by @​nohwnd in [fix] Fix backslash normalization in VSTestCLIRunSettings on Unix microsoft/vstest#15795
• Docs: fix typo explicitely -> explicitly by @​vaibhav8a in docs: fix typo explicitely -> explicitly microsoft/vstest#16397
• Copy acceptance test diagnostic logs into the test results directory by @​nohwnd in Copy acceptance test diagnostic logs into the test results directory microsoft/vstest#16403

New Contributors

• @​vaibhav8a made their first contribution in docs: fix typo explicitely -> explicitly microsoft/vstest#16397

Full Changelog: microsoft/vstest@v18.10.1...v18.11.0

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Pinned SkiaSharp at 4.153.1.

Updated SkiaSharp.NativeAssets.Linux.NoDependencies from 2.88.9 to 4.153.1.

Pinned System.Security.Cryptography.ProtectedData at 10.0.13.

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Updated xunit.runner.visualstudio from 3.1.5 to 4.0.1.

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4.0.1

Release notes: https://xunit.net/releases/visualstudio/4.0.1

4.0.0

Release notes: https://xunit.net/releases/visualstudio/4.0.0

4.0.0-pre.5

Release notes: https://xunit.net/releases/visualstudio/4.0.0-pre.5

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4.0.0-pre.3

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Updated xunit.v3 from 3.2.2 to 4.0.2.

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[dependabot]

Looks like these dependencies are no longer being updated by Dependabot, so this is no longer needed.