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Updated coverlet.msbuild from 8.0.0 to 10.0.1.

Release notes

Sourced from coverlet.msbuild's releases.

10.0.1

Improvements

Fixed

  • Fix inconsistent paths in cobertura reports #​1723
  • Fix when using "is" with "and" in pattern matching, branch coverage is lower than normal #​1313
  • Fix Coverlet flagging a branch for an async functions finally block where none exists #​1337
  • Fix Coverlet Tracker Missing CompilerGeneratedAttribute #​1828

Maintenance

  • Add architecture docs and diagrams for all integrations #​1927
  • Update NuGet packages and .NET SDK versions #​1933

Diff between 10.0.0 and 10.0.1

10.0.0

Improvements

  • Unique Report Filenames (coverlet.MTP and AzDO) #​1866
  • Add --coverlet-file-prefix option for unique report files #​1869
  • Introduce .NET 10 support #​1823

Fixed

  • Fix [BUG] Wrong branch rate on IAsyncEnumerable for generic type #​1836
  • Fix [BUG] Missing Coverage after moving to MTP #​1843
  • Fix [BUG] No coverage reported when targeting .NET Framework with 8.0.1 #​1842
  • Fix [BUG] Behavior changes between MTP and Legacy (msbuild) #​1878
  • Fix [BUG] Coverlet.MTP - Unable to load coverlet.mtp.appsettings.json #​1880
  • Fix [BUG] Coverlet.Collector produces empty report when Mediator.SourceGenerator is referenced #​1718 by https://github.com/yusyd
  • Fix [BUG] Crash during instrumentation (Methods using LibraryImport/DllImport have no body) #​1762

Maintenance

  • Add comprehensive async method tests and documentation for issue #​1864
  • Replace Tmds.ExecFunction Package in coverlet.core.coverage.tests #​1833
  • Add net9.0 and net10.0 targets #​1822

Diff between 8.0.1 and 10.0.0

8.0.1

Fixed

  • Fix [BUG] TypeInitializationException when targeting .NET Framework #​1818
  • Fix [BUG] coverlet.MTP build fails with CS0400 due to developmentDependency=true #​1827

Improvements

  • Additional improvements needed for .NET Framework instrumentation type import #​1825

Diff between 8.0.0 and 8.0.1

Commits viewable in compare view.

Updated Markdig from 0.44.0 to 1.3.2.

Release notes

Sourced from Markdig's releases.

1.3.2

Changes

🐛 Bug Fixes

  • Fix emoji table alignment regression (#​943) (fc705234)

Full Changelog: 1.3.1...1.3.2

Published with dotnet-releaser

1.3.1

Changes

🐛 Bug Fixes

  • Fix LinkHelper non-ASCII urilize (#​942) (50061841)
  • Fix plus superscript parsing (#​791) (25506f20)

Full Changelog: 1.3.0...1.3.1

Published with dotnet-releaser

1.3.0

Changes

🐛 Bug Fixes

  • Fix CJK emphasis after HTML entity newlines (#​941) (fcbf8170)
  • Fix pipe table cells with unmatched subscript (#​932) (0f98267a)
  • Fix roundtrip autolink URLs (#​919) (b8364135)
  • Fix configurable nesting depth limit (#​892) (d7f13b03)
  • Fix NormalizeRenderer auto identifiers output (#​930) (9dffce52)
  • Fix blockquote ordered list parsing (#​887) (bc4e3990)

📚 Documentation

  • add InferColumnWidthsFromSeparator docs (PR #​939) by @​SimonCropp

🧰 Misc

  • Update readme with Alert extension details (PR #​940) by @​AndrewTriesToCode
  • Update AGENTS.md (5dca4149)

Full Changelog: 1.2.0...1.3.0

Published with dotnet-releaser

1.2.0

Changes

🚀 Enhancements

  • Add opt-in support for nested alert blocks (PR #​938) by @​kapsiR

🧰 Misc

  • Remove old changelog.md (be4da8b4)

Full Changelog: 1.1.3...1.2.0

Published with dotnet-releaser

1.1.3

Changes

🐛 Bug Fixes

  • Fix AbbreviationExtension corrupting emphasis/bold/italic resolution (#​935) (PR #​936) by @​Kryptos-FR

🚀 Enhancements

  • Attribute with StringSyntax (PR #​937) by @​SimonCropp

Full Changelog: 1.1.2...1.1.3

Published with dotnet-releaser

1.1.2

Changes

🐛 Bug Fixes

  • Fix to calculate LinkReferenceDefinition span positions from StringLineGroup.Lines (PR #​931) by @​prozolic

Full Changelog: 1.1.1...1.1.2

Published with dotnet-releaser

1.1.1

Changes

🐛 Bug Fixes

  • Fix emoji not rendering in table cells (PR #​928) by @​prozolic

Full Changelog: 1.1.0...1.1.1

Published with dotnet-releaser

1.1.0

Changes

🚀 Enhancements

  • Add CJK-friendly Emphasis Extension (PR #​921) by @​tats-u

🧰 Misc

  • docs(site): document CJK friendly emphasis extension (bddaa55d)

Full Changelog: 1.0.1...1.1.0

Published with dotnet-releaser

1.0.1

Changes

✨ New Features

  • Add mermaid and katex (682a30c1)
  • Add missing markdown example (3167f8ef)

🧰 Maintenance

  • Fix ci (361231dc)

🧰 Misc

  • Update readme (391e03b8)
  • Reject pipe-only rows as pipe table separators (Fixes #​927) (7959e3b9)

Full Changelog: 1.0.0...1.0.1

Published with dotnet-releaser

1.0.0

Changes

✨ New Features

  • Add namespace API docs for Markdig (5de7e42a)

🚀 Enhancements

  • Remove obsolete APIs (PR #​926) by @​MihaZupan
  • Markdig 1.0 (PR #​925)

🧰 Misc

  • Update banner (b370c5cc)
  • Improve site documentation accuracy and structure (f735314a)

Full Changelog: 1.0.0-preview.1...1.0.0

Published with dotnet-releaser

1.0.0-preview.1

Changes

✨ New Features

  • Add instructions (3f7c09c4)
  • Add api authoring 1.0 (1a96adde)
  • Add parser authoring helper APIs and tests (ab6204cf)
  • Add AST mutation helpers for block and inline trees (2c9a9a30)
  • Add typed markdown object data key helpers (58e8217d)
  • Add span validation/update APIs and tests (148fd08b)
  • Add XML docs for public Markdig API (0cc463b6)
  • Add DotSettings (020a8490)
  • Add comprehensive documentation site (74f429c4)
  • Add GitHub action for site (94cb00d1)
  • Add playground to frontpage (d1ce1886)

🐛 Bug Fixes

  • Fix top level readme about documentation (999ccbc7)

🧰 Misc

  • Move from net9.0 to net10.0 (e5c88eff)
  • Update deps NuGet (e9d582a1)
  • Expose parser parity APIs for extension authors (5e5112cc)
  • Document parser authoring contracts and migration risks (c488a274)
  • Move doc to site (310f084c)

Full Changelog: 0.45.0...1.0.0-preview.1

Published with dotnet-releaser

0.45.0

Changes

🚀 Enhancements

  • Recognize supplementary characters (PR #​913) by @​tats-u
  • Use Dictionary.TryAdd instead of ContainsKey and indexer by reducing lookups. (PR #​917) by @​prozolic
  • Replace null checks with IsEmpty property for ReadOnlySpan (PR #​916) by @​prozolic
  • Optimize PipeTable parsing: O(n²) → O(n) for 3.7x–85x speedup, enables 10K+ row tables (PR #​922) by @​Mpdreamz

Full Changelog: 0.44.0...0.45.0

Published with dotnet-releaser

Commits viewable in compare view.

Updated Microsoft.CodeAnalysis.NetAnalyzers from 10.0.102 to 10.0.302.

Release notes

Sourced from Microsoft.CodeAnalysis.NetAnalyzers's releases.

10.0.302

You can build .NET 10.0 from the repository by cloning the release tag v10.0.302 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.301

You can build .NET 10.0 from the repository by cloning the release tag v10.0.301 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.300

You can build .NET 10.0 from the repository by cloning the release tag v10.0.300 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.204

You can build .NET 10.0 from the repository by cloning the release tag v10.0.204 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.203

You can build .NET 10.0 from the repository by cloning the release tag v10.0.203 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.202

You can build .NET 10.0 from the repository by cloning the release tag v10.0.202 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.201

You can build .NET 10.0 from the repository by cloning the release tag v10.0.201 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.200

You can build .NET 10.0 from the repository by cloning the release tag v10.0.200 and following the build instructions in the main README.md.

Alternatively, you can build from the sources attached to this release directly.
More information on this process can be found in the dotnet/dotnet repository.

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10.0.110

You can build .NET 10.0 from the repository by cloning the release tag v10.0.110 and following the build instructions in the main README.md.

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More information on this process can be found in the dotnet/dotnet repository.

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10.0.109

You can build .NET 10.0 from the repository by cloning the release tag v10.0.109 and following the build instructions in the main README.md.

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10.0.108

You can build .NET 10.0 from the repository by cloning the release tag v10.0.108 and following the build instructions in the main README.md.

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More information on this process can be found in the dotnet/dotnet repository.

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10.0.107

You can build .NET 10.0 from the repository by cloning the release tag v10.0.107 and following the build instructions in the main README.md.

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More information on this process can be found in the dotnet/dotnet repository.

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10.0.106

You can build .NET 10.0 from the repository by cloning the release tag v10.0.106 and following the build instructions in the main README.md.

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10.0.105

You can build .NET 10.0 from the repository by cloning the release tag v10.0.105 and following the build instructions in the main README.md.

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10.0.104

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10.0.103

You can build .NET 10.0 from the repository by cloning the release tag v10.0.103 and following the build instructions in the main README.md.

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Commits viewable in compare view.

Updated Microsoft.Data.Sqlite from 10.0.2 to 10.0.10.

Release notes

Sourced from Microsoft.Data.Sqlite's releases.

No release notes found for this version range.

Commits viewable in compare view.

Updated Microsoft.Extensions.Hosting from 10.0.2 to 10.0.10.

Release notes

Sourced from Microsoft.Extensions.Hosting's releases.

No release notes found for this version range.

Commits viewable in compare view.

Updated Microsoft.ML.OnnxRuntime from 1.23.2 to 1.28.0.

Release notes

Sourced from Microsoft.ML.OnnxRuntime's releases.

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.

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:
  • 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)

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


🔒 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:

✨ New Features

🔌 Execution Provider Plugin API & CUDA Plugin EP

... (truncated)

1.24.4

This is a patch release for ONNX Runtime 1.24, containing bug fixes and execution provider updates.

Bug Fixes

  • Core: Added PCI bus fallback for Linux GPU device discovery in containerized environments (e.g., AKS/Kubernetes) where nvidia-drm is not loaded but GPU PCI devices are still exposed via sysfs. (#​27591)
  • Plugin EP: Fixed null pointer dereference when iterating output spans in GetOutputIndex. (#​27644)
  • Plugin EP: Fixed bug that incorrectly assigned duplicate MetaDef IDs to fused nodes in different GraphViews (e.g., then/else branches of an If node), causing session creation to fail with a conflicting kernel error. (#​27666)

Execution Provider Updates

  • QNN EP: Enabled offline x64 compilation with memhandle IO type by deferring rpcmem library loading to inference time. (#​27479)
  • QNN EP: Reverted QNN SDK logging verbosity changes that caused segmentation faults on backend destruction. (#​27650)

Build and Infrastructure

  • Python: Updated python_requires from >=3.10 to >=3.11 to reflect dropped Python 3.10 support. (#​27354)
  • Build: Replaced __builtin_ia32_tpause with the compiler-portable _tpause intrinsic to fix cross-compiler portability issues between GCC and LLVM. (#​27607)

Full Changelog: v1.24.3...v1.24.4

Contributors

@​derdeljan-msft, @​adrianlizarraga, @​apwojcik, @​baijumeswani, @​edgchen1, @​mocknen, @​tianleiwu, @​XXXXRT666

1.24.3

This is a patch release for ONNX Runtime 1.24, containing bug fixes, security improvements, performance enhancements, and execution provider updates.

Security Fixes

  • Core: Fixed GatherCopyData integer truncation leading to heap out-of-bounds read/write. (#​27444)
  • Core: Fixed RoiAlign heap out-of-bounds read via unchecked batch_indices. (#​27543)
  • Core: Prevent heap OOB from maliciously crafted Lora Adapters. (#​27518)
  • Core: Fixed out-of-bounds access for Resize operation. (#​27419)

Bug Fixes

  • Core: Fixed GatherND division by zero when batch dimensions mismatch. (#​27090)
  • Core: Fixed validation for external data paths for models loaded from bytes. (#​27430)
  • Core: Fixed SkipLayerNorm fusion incorrectly applied when gamma/beta are not 1D. (#​27459)
  • Core: Fixed double-free in TRT EP custom op domain Release functions. (#​27471)
  • Core: Fixed QMoE CPU Operator. (#​27360)
  • Core: Fixed MatmulNBits prepacking scales. (#​27412)
  • Python: Fixed refcount bug in map input conversion that caused shutdown segfault. (#​27413)
  • NuGet: Fixed DllImportResolver. (#​27397)
  • NuGet: Added OrtEnv.DisableDllImportResolver to prevent fatal error on resolver conflict. (#​27535)

Performance Improvements

  • Core: QMoE CPU performance update (up to 4x on 4-bit). (#​27364)
  • Core: Fixed O(n²) model load time for TreeEnsemble with categorical feature chains. (#​27391)

Execution Provider Updates

  • NvTensorRtRtx EP:
    • Avoid repetitive creation of fp4/fp8 native-custom-op domains. (#​27192)
    • Added missing override specifiers to suppress warnings. (#​27288)
    • DQ→MatMulNBits fusion transformer. (#​27466)
  • WebGPU:
    • Used embedded WASM module in Blob URL workers when wasmBinary is provided. (#​27318)
    • Fixed usage of wasmBinary together with a blob URL for .mjs. (#​27411)
    • Removed the unhelpful "Unknown CPU vendor" warning. (#​27399)
    • Allows new memory info name for WebGPU. (#​27475)
  • MLAS:
    • Added DynamicQGemm function pointers and ukernel interface. (#​27403)
    • Fixed error where bytes is not assigned for dynamic qgemm pack b size. (#​27421)
  • VitisAI EP: Removed s_kernel_registry_vitisaiep.reset() in deinitialize_vitisai_ep(). (#​27295)
  • Plugin EPs: Added "library_path" metadata entry to OrtEpDevice instances for plugin and provider bridge EPs. (#​27522)

Build and Infrastructure

  • Pipelines:
    • Build Windows ARM64X binaries as part of packaging pipeline. (#​27316)
    • Moved JAR testing pipelines to canonical pipeline template. (#​27480)
  • Python: Enabled Python 3.14 CI and upgraded dependencies. (#​27401)
  • Build: Suppressed spurious Array Out of Bounds warnings produced by GCC 14.2 compiler on Linux builds. (#​27454)
  • Build: Fixed -Warray-bounds build error in MLAS on clang 17+. (#​27499)
  • Telemetry: Added/Updated telemetry events. (#​27356)
  • Config: Increased kMaxValueLength to 8192. (#​27521)

... (truncated)

1.24.2

This is a patch release for ONNX Runtime 1.24, containing several bug fixes, security improvements, and execution provider updates.

Bug Fixes

  • NuGet: Fixed native library loading issues in the ONNX Runtime NuGet package on Linux and macOS. (#​27266)
  • macOS: Fixed Java support and Jar testing on macOS ARM64. (#​27271)
  • Core: Enable Robust Symlink Support for External Data for Huggingface Hub Cache. (#​27374)
  • Core: Added boundary checks for SparseTensorProtoToDenseTensorProto to improve robustness. (#​27323)
  • Security: Fixed an out-of-bounds read vulnerability in ArrayFeatureExtractor. (#​27275)

Execution Provider Updates

  • MLAS: Fixed flakiness and accuracy issues in Lut GEMM (MatMulNBitsLutGemm). (#​27216)
  • QNN: Enabled 64-bit UDMA mode for HTP target v81 or above. (#​26677)
  • WebGPU:
    • Used LazyRelease for prepack allocator. (#​27077)
    • Fixed ConvTranspose bias validation in both TypeScript and C++ implementations. (#​27213)
  • OpenVINO (OVEP): Patch to reduce resident memory by reusing weight files across shared contexts. (#​27238)
  • DNNL: Fixed DNNL build error by including missing files. (#​27334)

Build and Infrastructure

  • CUDA:
    • Added support for CUDA architecture family codes (suffix 'f') introduced in CUDA 12.9. (#​27278)
    • Fixed build errors and warnings for various CUDA versions (12.8, 13.0, 13.1.1). (#​27276)
    • Applied patches for Abseil CUDA warnings. (#​27096, #​27126)
  • Pipelines:
    • Fixed Python packaging pipeline for Windows ARM64 and release. (#​27339, #​27350, #​27299)
    • Fixed DirectML NuGet pipeline to correctly bundle x64 and ARM64 binaries for release. (#​27349)
    • Updated Microsoft.ML.OnnxRuntime.Foundry package for Windows ARM64 support and NuGet signing. (#​27294)
  • Testing: Updated BaseTester to support plugin EPs with both compiled nodes and registered kernels. (#​27176)
  • Telemetry: Added service name and framework name to telemetry events for better usage understanding on Windows. (#​27252, #​27256)

Full Changelog: v1.24.1...v1.24.2

Contributors

@​tianleiwu, @​hariharans29, @​edgchen1, @​xiaofeihan1, @​adrianlizarraga, @​angelser, @​angelserMS, @​ankitm3k, @​baijumeswani, @​bmehta001, @​ericcraw, @​eserscor, @​fs-eire, @​guschmue, @​mc-nv, @​qjia7, @​qti-monumeen, @​titaiwangms, @​yuslepukhin

1.24.1

📢 Announcements & Breaking Changes

Platform Support Changes

  • Python 3.10 wheels are no longer published — Please upgrade to Python 3.11+
  • Python 3.14 support added
  • Free-threaded Python (PEP 703) — Added support for Python 3.13t and 3.14t in Linux (#​26786)
  • x86_64 binaries for macOS/iOS are no longer provided and minimum macOS is raised to 14.0

API Version


✨ New Features

🤖 Execution Provider (EP) Plugin API

A major infrastructure enhancement enabling plugin-based EPs with dynamic loading:

  • Initial kernel-based EP support (#​26206)
  • Weight pre-packing support for plugin EPs (#​26754)
  • EP Context model support (#​25124)
  • Control flow kernel APIs (#​26927)
  • OrtKernelInfo APIs for kernel-based plugin EPs (#​26803)

🔧 Core APIs

  • OrtApi::CreateEnvWithOptions() and OrtEpApi::GetEnvConfigEntries() (#​26971)
  • EP Device Compatibility APIs (#​26922)
  • External Resource Importer API for D3D12 shared resources (#​26828)
  • Session config access from KernelInfo (#​26589)

📊 Dependencies & Integration


🖥️ Execution Provider Updates

NVIDIA

  • CUDA EP: Flash Attention updates, GQA kernel fusion, BF16 support for MoE/qMoE/MatMulNBits, CUDA 13.0 support
  • TensorRT EP: Upgraded to TensorRT 10.14, automatic plugin loading, NVFP4 custom ops
  • TensorRT RTX EP: RTX runtime caching, CUDA graph support, BFloat16, memory-mapped engines

Qualcomm QNN EP

  • QNN SDK upgraded to 2.42.0 with new ops (RMSNorm, ScatterElements, GatherND, STFT, RandomUniformLike)
  • Gelu pattern fusion, LPBQ quantization support, ARM64 wheel builds, v81 device support

Intel & AMD

  • OpenVINO EP: Upgraded to 2025.4.1
  • VitisAI EP: External EP loader, compiled model compatibility API
    ... (truncated)

Commits viewable in compare view.

Updated Microsoft.NET.Test.Sdk from 18.0.1 to 18.8.1.

Release notes

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

18.8.1

What's Changed

Full Changelog: microsoft/vstest@v18.8.0...v18.8.1

18.8.0

What's Changed

Full Changelog: microsoft/vstest@v18.7.0...v18.8.0

18.7.0

What's Changed

New Contributors

Full Changelog: microsoft/vstest@v18.6.0...v18.7.0

18.6.0

What's Changed

Changes to tests and infra

_Description has been trunca...

Description has been truncated

Bumps coverlet.msbuild from 8.0.0 to 10.0.1
Bumps Markdig from 0.44.0 to 1.3.2
Bumps Microsoft.CodeAnalysis.NetAnalyzers from 10.0.102 to 10.0.302
Bumps Microsoft.Data.Sqlite from 10.0.2 to 10.0.10
Bumps Microsoft.Extensions.Hosting from 10.0.2 to 10.0.10
Bumps Microsoft.ML.OnnxRuntime from 1.23.2 to 1.28.0
Bumps Microsoft.NET.Test.Sdk from 18.0.1 to 18.8.1
Bumps ModelContextProtocol from 0.8.0-preview.1 to 2.0.0
Bumps NUnit from 4.4.0 to 4.6.1
Bumps NUnit.Analyzers from 4.11.2 to 4.14.0
Bumps NUnit3TestAdapter from 6.1.0 to 6.2.0
Bumps YamlDotNet from 16.3.0 to 18.1.0

---
updated-dependencies:
- dependency-name: coverlet.msbuild
  dependency-version: 10.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: nuget-all
- dependency-name: Markdig
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  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: nuget-all
- dependency-name: Microsoft.CodeAnalysis.NetAnalyzers
  dependency-version: 10.0.302
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: nuget-all
- dependency-name: Microsoft.Data.Sqlite
  dependency-version: 10.0.10
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: nuget-all
- dependency-name: Microsoft.Extensions.Hosting
  dependency-version: 10.0.10
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: nuget-all
- dependency-name: Microsoft.ML.OnnxRuntime
  dependency-version: 1.28.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: nuget-all
- dependency-name: Microsoft.NET.Test.Sdk
  dependency-version: 18.8.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: nuget-all
- dependency-name: ModelContextProtocol
  dependency-version: 2.0.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: nuget-all
- dependency-name: NUnit
  dependency-version: 4.6.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: nuget-all
- dependency-name: NUnit.Analyzers
  dependency-version: 4.14.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: nuget-all
- dependency-name: NUnit3TestAdapter
  dependency-version: 6.2.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: nuget-all
- dependency-name: YamlDotNet
  dependency-version: 18.1.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: nuget-all
...

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