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Constrain portable shared asset paths - #33826

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Akshay Sonawane (apsonawane) merged 13 commits into
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fix/model-package-shared-asset-paths
Nov 10, 2026
Merged

Akshay Sonawane (apsonawane) merged 13 commits into
mainfrom
fix/model-package-shared-asset-paths

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This pull request introduces comprehensive path confinement and symlink validation for all operations involving shared_assets in portable model packages. The main goal is to ensure that all asset paths remain strictly within the package root, and that no symlinks are used to escape or replace package directories or assets, preventing potential security or integrity issues. Additionally, new tests have been added to verify these constraints.

Path confinement and symlink validation:

  • Introduced ValidatePortablePath, a utility that checks that a path is strictly under the package root, does not traverse symlinks, and (optionally) exists, using both lexical and canonical path normalization. This is now called before any operation that reads, writes, or removes shared assets in portable packages. [1] [2] [3]
  • Updated all relevant code paths (ModelPackage_RemoveSharedAsset, CommitSharedAssetsCopyIn, CommitToDestRoot, ModelPackage_Prune, and LoadSharedAssets) to invoke ValidatePortablePath before acting on shared asset directories or files, both for existence and non-existence checks as appropriate. [1] [2] [3] [4] [5] [6] [7] [8] [9]

Symlink and directory validation:

  • Added explicit checks to reject symlinks as shared asset directories or sources in ComputeDirectoryAssetUri and CopyTreeNoFollow, returning schema or IO errors as appropriate. [1] [2]

Testing improvements:

  • Added new tests to verify that opening a package, mutating shared assets, or committing to a destination package root all properly reject cases where symlinks are used to escape or replace shared asset directories. These ensure the new path and symlink validation logic is enforced. [1] [2]

Internal refactoring:

  • Introduced the IsAncestorOrEqual helper for robust path ancestry checks and added proper namespace aliasing for std::filesystem. [1] [2]

These changes collectively harden the package system against path traversal and symlink attacks, ensuring portable packages are reliably confined to their intended directory structure.

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🟡 Changes recommended

Critical symlink-validation bypasses still allow linked assets to be accepted, hashed, or copied, while path-confinement checks incorrectly reject valid destination roots.

4 open issues
What changed in this PR

This PR hardens portable model packages by adding path-confinement and symlink checks around shared-asset operations.

Changes:

  • Introduces a shared validator for lexical containment, symlink detection, and canonical containment.
  • Applies validation to asset discovery, copying, removal, and pruning, with additional source-directory checks.
  • Adds regression tests for linked asset paths and directories replaced after package creation.
File Description
model_package/​tests/​test_commit.cc Adds symlink-rejection tests for opening, mutation, and destination commits.
model_package/​src/​model_package_impl.h Declares the portable-path validator.
model_package/​src/​model_package_impl.cc Implements path containment and symlink validation.
model_package/​src/​manifest_parser.cc Adds validation during shared-asset discovery and resolution.
model_package/​src/​commit_prune.cc Adds checks around asset copying, staging, and pruning.
model_package/​src/​authoring.cc Validates portable asset paths before removal.
model_package/​src/​asset_hasher.cc Adds rejection of symlinked source directories before hashing.

Review effort: Balanced

Comment thread model_package/src/asset_hasher.cc Resolved
Comment thread model_package/src/manifest_parser.cc Resolved
Comment thread model_package/src/manifest_parser.cc Resolved
Comment thread model_package/src/model_package_impl.cc Resolved

@tianleiwu Tianlei Wu (tianleiwu) left a comment

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Reviewed head fb2644bb2e. I built model_package standalone and ran the tests on Linux (ctest 4/4, test_commit 24/24 pass) plus a few extra probes through the public C API.

The four earlier automated threads (made against 3647791fee) look addressed on this head: PopulatePackageMetadata now runs before LoadSharedAssets, link/ and link/. source spellings are normalized and tested, override paths are validated before ResolvePath, and saved/ / . destination roots are covered by a test.

No blocking issues. Inline comments cover the remaining points:

  • Windows junctions are not treated as links.
  • The source-root symlink rejection also applies outside portable packages and is a public behavior change.
  • RemoveSharedAsset mutates state before validating.
  • One stale tmp symlink makes Prune abort.

Nits:

  • The if (pkg->layout == "portable") { if (auto* s = ValidatePortablePath(...)) return s; } pattern repeats ~9 times; a small helper would cut the noise.
  • CommitToDestRoot validates the destination shared_assets unconditionally while the other call sites are portable-gated; a short comment on why would help.
  • The validation is check-then-use (TOCTOU). The staged re-hash covers the copy path, but not remove_all. A note in the ValidatePortablePath header doc would set expectations.

Comment thread model_package/src/model_package_impl.cc Resolved
Comment thread model_package/src/asset_hasher.cc Resolved
Comment thread model_package/src/authoring.cc Resolved
Comment thread model_package/src/commit_prune.cc Resolved

@titaiwangms Ti-Tai Wang (titaiwangms) left a comment

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Reviewed commit 5df3373. Requesting changes for four Major issues detailed inline.

ID Finding Raised by Disposition
F1 Lexical normalization can select the wrong source directory Critical and Code reviewers Confirmed
F2 Failed rollback can lose existing asset records Critical and Code reviewers Confirmed
F3 Windows junction test calls unexported DLL helpers Code and Integration reviewers Confirmed
F4 New prune behavior contradicts an existing test expectation Code reviewer Confirmed
F5 Mandatory shared-asset checks override documented read-only options Deep reviewer, with related Critical/Readability concerns Confirmed documentation mismatch; Minor

Additional Minor feedback:

  • Update the public option documentation and README to explain that portable shared-asset loading now enforces confinement/link rejection even when the advertised read-only allow_external_paths/follow_symlinks options would otherwise permit resolution. Deep review rated this Major; I treat it as Minor documentation/compatibility clarification because strict portable confinement is explicit PR intent. This is the only downgraded Major finding.
  • Consolidate the differently implemented ancestry helpers in model_package_impl.cc:37 and commit_prune.cc:572 so confinement checks do not drift apart.

Nonblocking open questions: Deep review requested confirmation of Windows case handling, MinGW support for the MSVC-specific junction enum, and the intended installed-layout link protections. Readability review asked whether additional Windows reparse-point types belong in the link policy.

Validation and residual risk: all five review roles completed and the findings were checked against the pinned diff and source. No local builds or tests were run. Windows runtime behavior and race-free filesystem mutation were not verified; the check-then-use guards do not establish race-free mutation guarantees.

Comment thread model_package/src/model_package_impl.cc Resolved
Comment thread model_package/src/authoring.cc Resolved
Comment thread model_package/tests/test_commit.cc Resolved
Comment thread model_package/src/commit_prune.cc Resolved

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Re-reviewed the revision delta from 5df3373 to 83355ea.

The previous four findings are addressed at the source level: source normalization preserves interior components, shared-asset refresh now builds temporary state before swapping, the Windows junction test uses public APIs, and the prune test expectation matches the new link-preservation policy. The documentation and duplicated ancestry-helper feedback are also addressed.

Requesting changes for one new Major build blocker: the two added regression-test functions are defined inside another function. There is also a Minor coverage issue: the unreadable-directory test skips because its target directory is never created. Details are inline.

Validation: static review of the revision delta and relevant controlling code only; no builds or tests were executed. The earlier fixes therefore have not been runtime-validated, and Windows behavior and filesystem replacement races remain outside this pass.

Comment thread model_package/tests/test_commit.cc Resolved
Comment thread model_package/tests/test_commit.cc Resolved

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Re-reviewed the revision delta from 83355ea to edfd586.

The previous nested-function compilation issue is fixed: both regression tests are now at namespace scope. The unreadable-directory test now creates its target directory and checks whether directory iteration is actually denied before deciding to skip, addressing the previous coverage issue.

One Major issue remains: the now-effective test exposes an existing ignored directory-open error in ModelPackage_Prune, so the new assertion fails for ordinary nonprivileged POSIX users. Please fix that error handling as detailed inline. The underlying runtime defect predates this revision; the newly exposed regression is the test failure.

Validation: static review of the revision delta, test setup, and controlling prune code. No local builds or tests were run. Windows runtime behavior and filesystem replacement races were not checked in this pass.

Comment thread model_package/tests/test_commit.cc Resolved

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Re-reviewed commit ef3c545 against the previously reviewed revision. The remaining directory-iterator construction error is now checked and returned as MODEL_PACKAGE_ERR_IO, matching the unreadable-directory regression test. All previously reported blocking findings are addressed at the source level, and no new actionable findings were identified in this revision delta.

Validation: static review of the revision delta, controlling prune logic, and relevant regression tests. No local builds or tests were run. Windows runtime behavior and race-free filesystem mutation were not verified.

Franklin Moormann (ooples) pushed a commit to ooples/AiDotNet that referenced this pull request Nov 13, 2026
Updated
[Microsoft.AspNetCore.Mvc.Testing](https://github.com/dotnet/dotnet)
from 10.0.14 to 10.0.15.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.AspNetCore.Mvc.Testing's
releases](https://github.com/dotnet/dotnet/releases)._

No release notes found for this version range.

Commits viewable in [compare
view](https://github.com/dotnet/dotnet/commits).
</details>

Updated [Microsoft.Data.Sqlite](https://github.com/dotnet/dotnet) from
10.0.14 to 10.0.15.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.Data.Sqlite's
releases](https://github.com/dotnet/dotnet/releases)._

No release notes found for this version range.

Commits viewable in [compare
view](https://github.com/dotnet/dotnet/commits).
</details>

Updated
[Microsoft.ML.OnnxRuntime](https://github.com/Microsoft/onnxruntime)
from 1.31.1 to 1.32.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.ML.OnnxRuntime's
releases](https://github.com/Microsoft/onnxruntime/releases)._

## 1.32.0

ONNX Runtime 1.32.0 reintegrates ONNX 1.23.2 with opset 28 support,
introduces CPU/GPU hybrid MoE offloading and shared-layout CPU QMoE
kernels, expands device-memory, weightless-compilation, and Python
model-package APIs, dramatically accelerates session initialization on
large graphs, and strengthens runtime and optimizer reliability. These
notes cover changes since ONNX Runtime 1.31.1. CUDA and WebGPU kernel
updates are summarized here; detailed provider notes are covered by
their separate plugin EP releases.

## Highlights

- Reintegrated **ONNX 1.23.2** with **opset 28** operator support
(`SpaceToDepth`, `Mod`, signed `BitShift`, and `BFloat16` extensions)
and updated **DLPack to v1.3** across all implemented ORT numeric and
boolean tensor types
([#​33134](microsoft/onnxruntime#33134),
[#​32362](microsoft/onnxruntime#32362),
[#​33848](microsoft/onnxruntime#33848)).
- Added a session-scoped **CPU/GPU hybrid MoE offload** planner and
execution backend for quantized `QMoE` (NVFP4, INT4, INT3, and INT2) and
block-packed `MoEPacked` models, backed by shared-layout AVX-512/AVX2
CPU `QMoE` kernels and memory-mapped expert storage
([#​33450](microsoft/onnxruntime#33450),
[#​33451](microsoft/onnxruntime#33451),
[#​33452](microsoft/onnxruntime#33452),
[#​33973](microsoft/onnxruntime#33973)).
- Expanded core APIs with `OrtApi::EpDevice_GetMemoryCapacity`, explicit
multi-mode weightless compilation
(`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode`), Python bindings for the Model Package
APIs, and zero-copy CPU buffer borrowing in `AddExternalInitializers`
([#​33447](microsoft/onnxruntime#33447),
[#​32899](microsoft/onnxruntime#32899),
[#​33640](microsoft/onnxruntime#33640),
[#​33877](microsoft/onnxruntime#33877)).
- Eliminated superlinear bottlenecks in allocation planning, constant
sharing, graph I/O mapping, and topological sorting—reducing session
initialization on 100k-node constant-heavy graphs from minutes to
seconds—and added pipelined pinned-memory staging for external GPU
weight loading
([#​33407](microsoft/onnxruntime#33407),
[#​33939](microsoft/onnxruntime#33939),
[#​34009](microsoft/onnxruntime#34009),
[#​33839](microsoft/onnxruntime#33839)).
- Expanded shared generative AI and quantized contrib operators,
including Kimi Delta Attention (`GatedDeltaNet` per-key-dimension
decay), right-padded chunked prefill in `GroupQueryAttention`, native
GGUF/block-packed operators (`GatherPacked`, `MatMulPacked`,
`MoEPacked`), and sparse-attention index sharing
([#​33817](microsoft/onnxruntime#33817),
[#​33503](microsoft/onnxruntime#33503),
[#​33953](microsoft/onnxruntime#33953),
[#​33224](microsoft/onnxruntime#33224)).

## Announcements & Compatibility

- **CUDA Plugin EP v0.4.0** and **WebGPU Plugin EP v0.6.0** are matched
with ONNX Runtime 1.32.0
([#​33214](microsoft/onnxruntime#33214)). 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.
- **ACL EP removed:** Following its deprecation in 1.31.0, the Arm
Compute Library (`ACLExecutionProvider`) execution provider, its build
options, and its standalone C registration API have been removed.
Python's `get_all_providers()` no longer lists `ACLExecutionProvider`;
applications should remove it from explicit provider lists
([#​33851](microsoft/onnxruntime#33851)).
- **Legacy provider-bridge `NvTensorRTRTXExecutionProvider` removed:**
In-tree provider-bridge `NvTensorRTRTXExecutionProvider` sources have
been removed in favor of the standalone NVIDIA TensorRT RTX plugin EP
registered via `OrtApi::RegisterExecutionProviderLibrary`.
`NvTensorRtRtxProviderOptions` is retained as a deprecated declaration
for source compatibility, and legacy `AppendExecutionProvider` calls now
report a deprecation error directing callers to the plugin EP
([#​32276](microsoft/onnxruntime#32276)).
- **ONNX 1.23.2 integration:** ONNX has been upgraded to **1.23.2**,
raising supported opset ceilings to **28** and restoring
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E2M3` and
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E3M2` public element-type mappings
and `Cast` conversions
([#​33134](microsoft/onnxruntime#33134)).
- **DLPack v1.3 boolean contract change:** DLPack has been upgraded to
**v1.3** with native `kDLBool` metadata and bidirectional support for
all implemented ORT numeric and boolean types, including all five
`float8` formats, packed `float4`, `int4`/`uint4`, and `int2`/`uint2`
(`float6` remains unsupported in DLPack). The low-level `is_bool_tensor`
override was removed, and `uint8` DLPack metadata now always imports as
`uint8`
([#​33848](microsoft/onnxruntime#33848)).
- **Weightless compilation API migration:**
`OrtCompileApi::ModelCompilationOptions_SetWeightlessEnabled` and the
`ep.enable_weightless` / `ep.enable_weightless_ep_context_nodes` session
options are deprecated in favor of
`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode` (`"0"` = `NONE`, `"1"` = `EXTERNAL_ONLY`,
`"2"` = `ALL`). EPs can now advertise multi-mode capability via
`OrtWeightlessSupport_ALL_OR_EXTERNAL_ONLY` and
`weightless_supported_modes`
([#​32899](microsoft/onnxruntime#32899)).
- **Training CI retirement:** Training build and test lanes were retired
from active GitHub Actions CI workflows while retaining inference build
coverage
([#​33836](microsoft/onnxruntime#33836)).
- This is the last release for [CocoaPods](https://cocoapods.org/), and
we will switch to [Swift Package
Manager](https://docs.swift.org/latest/documentation/packagemanagerdocs/).
- We will use combo onnxruntime-gpu python package to reduce storage
size from next release. You can test it
[here](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime-gpu/overview)

## New Features

### Core APIs & Runtime

- Added `OrtApi::EpDevice_GetMemoryCapacity` (C++
`EpDevice::GetMemoryCapacity()`) and
`OrtEpFactory::GetDeviceMemoryCapacity` to query device-global total
memory and estimated currently available memory (`DEFAULT` or
`HOST_ACCESSIBLE`), with built-in and plugin CUDA EP support
([#​33447](microsoft/onnxruntime#33447)).
- Expanded the app–EP weightless contract so EPs advertise all supported
weightless modes (`weightless_supported_modes`), applications request an
explicit mode (`ModelCompilationOptions_SetWeightlessMode` /
`ep.enable_weightless_mode`), and compiled EPContext models record
`weightless_mode` and `external_dependencies` (`source_model`,
`external_weights`, `ep_context_binary`) in model metadata
([#​32899](microsoft/onnxruntime#32899)).
- Extended `session.use_external_initializer_file_buffers_directly="1"`
to `AddExternalInitializers` for zero-copy borrowing of naturally
aligned CPU buffers larger than 127 bytes on little-endian hosts, and
documented the read-only guarantee for external initializers added via
`OrtModelEditorApi::AddInitializerToGraph` with `data_is_external=true`
([#​33877](microsoft/onnxruntime#33877),
[#​33717](microsoft/onnxruntime#33717)).
- Added lock-free multi-worker pinned-memory staging
(`session.external_data_loader.*`) to accelerate external initializer
loading into GPU memory across built-in and plugin CUDA EPs
([#​33839](microsoft/onnxruntime#33839)).
- Added a session-scoped MoE/QMoE CPU/GPU offload planner and
memory-budget ledger (`session.moe.offload.*`), generic
`session.kernel_dispatch_policy` (`auto`, `latency`, `memory`, `safe`)
configuration plumbing, Level-1 workspace/prepack memory accounting
fallback for nodes absent from memory-profile CSVs, and internal
capability-planning protocol types
([#​33451](microsoft/onnxruntime#33451),
[#​33042](microsoft/onnxruntime#33042),
[#​33311](microsoft/onnxruntime#33311),
[#​33841](microsoft/onnxruntime#33841)).
- Enabled cross-thread reuse of idle device streams when graph capture
is disabled and providers register device-selection callbacks, and
enabled compile-session profiling (`<profile_file>_compile`) in
`onnxruntime_perf_test` when `-p` is used with `--compile_ep_context`
([#​33053](microsoft/onnxruntime#33053),
[#​33694](microsoft/onnxruntime#33694)).
- Made `onnxruntime_DISABLE_EXCEPTIONS` (`--disable_exceptions`) usable
without `onnxruntime_MINIMAL_BUILD` and added the
`onnxruntime_DISABLE_STREAM=ON` CMake option to disable device-stream
support in non-minimal builds
([#​33120](microsoft/onnxruntime#33120),
[#​33482](microsoft/onnxruntime#33482)).

### ONNX Opset 28 & Shared Contrib Operators

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

- Added ONNX opset 28 operator support: native `SpaceToDepth` (`DCR` and
`CRD`) on CPU and CUDA with version-split registrations across DML, JS,
WebGPU, and QNN; opset-28 floating floor-modulus `Mod` on CPU, CUDA, and
DML; opset-28 `BFloat16` support for `Compress`, `OneHot`,
`ReverseSequence`, `Unique`, `Celu`, and `Einsum` on CPU (plus
`Compress`, `OneHot`, and `ReverseSequence` on CUDA); and `BFloat16`
`Pad` (opsets 21–25) on CPU and CUDA
([#​32362](microsoft/onnxruntime#32362),
[#​32369](microsoft/onnxruntime#32369),
[#​32378](microsoft/onnxruntime#32378),
[#​34062](microsoft/onnxruntime#34062)).
- Extended `GatedDeltaNet` with Kimi Delta Attention (KDA)
per-key-dimension decay across CPU, CUDA, and WebGPU, and extended
`GatedDeltaNet` and `CausalConvWithState` state/gate handling for
multi-token speculative decoding
([#​33817](microsoft/onnxruntime#33817),
[#​33471](microsoft/onnxruntime#33471)).
- Added an optional `query_seqlens` input to `GroupQueryAttention` to
skip right-padded prefill tokens and idle batch entries
(`query_seqlens[b] = 0`) on CPU and CUDA, and added `q_norm_epsilon` /
`k_norm_epsilon` attributes to preserve distinct Q and K normalization
epsilons during GQA pre-norm fusion
([#​33503](microsoft/onnxruntime#33503),
[#​33505](microsoft/onnxruntime#33505),
[#​33832](microsoft/onnxruntime#33832),
[#​33363](microsoft/onnxruntime#33363)).
- Defined the INT3 `QMoE` v1 packed-code contract, added opt-in
post-SiLU clipping (`swiglu_limit_after_activation`) and tanh-`GEGLU`
(`activation_type="geglu"`) support to MoE/QMoE schemas, and added
`GatherPacked` (CPU/CUDA), `MatMulPacked` (CUDA, including native Bolt
`global_scale`), and `MoEPacked` (CUDA) to consume native
GGUF/block-packed quantized weights directly
([#​33394](microsoft/onnxruntime#33394),
[#​33954](microsoft/onnxruntime#33954),
[#​33633](microsoft/onnxruntime#33633),
[#​33953](microsoft/onnxruntime#33953),
[#​33962](microsoft/onnxruntime#33962)).
- Added `PackedSparseAttentionIndexerMerge` for multi-token prediction
index sharing and optional `state_status` / mid-state outputs on
`PackedSparseAttentionIndexer` across CUDA and WebGPU; extended
`GatedAdd` with an optional projected `gate_weight` across CPU, CUDA,
and WebGPU; and supported empty unpacked weights in CPU and WebGPU
`MatMulNBits`
([#​33224](microsoft/onnxruntime#33224),
[#​33383](microsoft/onnxruntime#33383),
[#​33472](microsoft/onnxruntime#33472),
[#​33470](microsoft/onnxruntime#33470),
[#​33559](microsoft/onnxruntime#33559)).
- Registered core contrib schemas for provider-targeted LLM and
speculative-decoding operators, including `SwiGLU`, `RMSNormRotary`,
`HyperConnectionLowRankMix`, `RouterGateUpProj`,
`SpeculativePrefixCommit`, `GatedDeltaNetStateReplay`,
`ConvStateReplay`, and `MatMulNBitsQLoRA`
([#​32126](microsoft/onnxruntime#32126),
[#​33469](microsoft/onnxruntime#33469),
[#​33384](microsoft/onnxruntime#33384),
[#​33650](microsoft/onnxruntime#33650),
[#​33474](microsoft/onnxruntime#33474),
[#​33213](microsoft/onnxruntime#33213),
[#​33493](microsoft/onnxruntime#33493),
[#​33370](microsoft/onnxruntime#33370)).

### Plugin Execution Provider Infrastructure

- Fixed an `OrtMemoryInfo` ABI mismatch across the ORT/plugin EP
boundary by converting `OrtMemoryInfo` instances exclusively through the
C API ([#​33571](microsoft/onnxruntime#33571)).
- Zero-initialized `OrtEpFactory` structs in provider-bridge EP
factories so unimplemented optional callbacks are null, and prevented
double DLL initialization and handle leaks when probing and registering
plugin EP libraries
([#​33117](microsoft/onnxruntime#33117),
[#​33701](microsoft/onnxruntime#33701)).
- Hardened portable model-package EP recreation, custom-domain
preservation, UTF-8 path handling, and `shared_assets` path confinement
and symlink validation
([#​32790](microsoft/onnxruntime#32790),
[#​33826](microsoft/onnxruntime#33826)).
 ... (truncated)

Commits viewable in [compare
view](microsoft/onnxruntime@v1.31.1...v1.32.0).
</details>

Updated
[Microsoft.ML.OnnxRuntime.Managed](https://github.com/microsoft/onnxruntime)
from 1.31.1 to 1.32.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.ML.OnnxRuntime.Managed's
releases](https://github.com/microsoft/onnxruntime/releases)._

## 1.32.0

ONNX Runtime 1.32.0 reintegrates ONNX 1.23.2 with opset 28 support,
introduces CPU/GPU hybrid MoE offloading and shared-layout CPU QMoE
kernels, expands device-memory, weightless-compilation, and Python
model-package APIs, dramatically accelerates session initialization on
large graphs, and strengthens runtime and optimizer reliability. These
notes cover changes since ONNX Runtime 1.31.1. CUDA and WebGPU kernel
updates are summarized here; detailed provider notes are covered by
their separate plugin EP releases.

## Highlights

- Reintegrated **ONNX 1.23.2** with **opset 28** operator support
(`SpaceToDepth`, `Mod`, signed `BitShift`, and `BFloat16` extensions)
and updated **DLPack to v1.3** across all implemented ORT numeric and
boolean tensor types
([#​33134](microsoft/onnxruntime#33134),
[#​32362](microsoft/onnxruntime#32362),
[#​33848](microsoft/onnxruntime#33848)).
- Added a session-scoped **CPU/GPU hybrid MoE offload** planner and
execution backend for quantized `QMoE` (NVFP4, INT4, INT3, and INT2) and
block-packed `MoEPacked` models, backed by shared-layout AVX-512/AVX2
CPU `QMoE` kernels and memory-mapped expert storage
([#​33450](microsoft/onnxruntime#33450),
[#​33451](microsoft/onnxruntime#33451),
[#​33452](microsoft/onnxruntime#33452),
[#​33973](microsoft/onnxruntime#33973)).
- Expanded core APIs with `OrtApi::EpDevice_GetMemoryCapacity`, explicit
multi-mode weightless compilation
(`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode`), Python bindings for the Model Package
APIs, and zero-copy CPU buffer borrowing in `AddExternalInitializers`
([#​33447](microsoft/onnxruntime#33447),
[#​32899](microsoft/onnxruntime#32899),
[#​33640](microsoft/onnxruntime#33640),
[#​33877](microsoft/onnxruntime#33877)).
- Eliminated superlinear bottlenecks in allocation planning, constant
sharing, graph I/O mapping, and topological sorting—reducing session
initialization on 100k-node constant-heavy graphs from minutes to
seconds—and added pipelined pinned-memory staging for external GPU
weight loading
([#​33407](microsoft/onnxruntime#33407),
[#​33939](microsoft/onnxruntime#33939),
[#​34009](microsoft/onnxruntime#34009),
[#​33839](microsoft/onnxruntime#33839)).
- Expanded shared generative AI and quantized contrib operators,
including Kimi Delta Attention (`GatedDeltaNet` per-key-dimension
decay), right-padded chunked prefill in `GroupQueryAttention`, native
GGUF/block-packed operators (`GatherPacked`, `MatMulPacked`,
`MoEPacked`), and sparse-attention index sharing
([#​33817](microsoft/onnxruntime#33817),
[#​33503](microsoft/onnxruntime#33503),
[#​33953](microsoft/onnxruntime#33953),
[#​33224](microsoft/onnxruntime#33224)).

## Announcements & Compatibility

- **CUDA Plugin EP v0.4.0** and **WebGPU Plugin EP v0.6.0** are matched
with ONNX Runtime 1.32.0
([#​33214](microsoft/onnxruntime#33214)). 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.
- **ACL EP removed:** Following its deprecation in 1.31.0, the Arm
Compute Library (`ACLExecutionProvider`) execution provider, its build
options, and its standalone C registration API have been removed.
Python's `get_all_providers()` no longer lists `ACLExecutionProvider`;
applications should remove it from explicit provider lists
([#​33851](microsoft/onnxruntime#33851)).
- **Legacy provider-bridge `NvTensorRTRTXExecutionProvider` removed:**
In-tree provider-bridge `NvTensorRTRTXExecutionProvider` sources have
been removed in favor of the standalone NVIDIA TensorRT RTX plugin EP
registered via `OrtApi::RegisterExecutionProviderLibrary`.
`NvTensorRtRtxProviderOptions` is retained as a deprecated declaration
for source compatibility, and legacy `AppendExecutionProvider` calls now
report a deprecation error directing callers to the plugin EP
([#​32276](microsoft/onnxruntime#32276)).
- **ONNX 1.23.2 integration:** ONNX has been upgraded to **1.23.2**,
raising supported opset ceilings to **28** and restoring
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E2M3` and
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E3M2` public element-type mappings
and `Cast` conversions
([#​33134](microsoft/onnxruntime#33134)).
- **DLPack v1.3 boolean contract change:** DLPack has been upgraded to
**v1.3** with native `kDLBool` metadata and bidirectional support for
all implemented ORT numeric and boolean types, including all five
`float8` formats, packed `float4`, `int4`/`uint4`, and `int2`/`uint2`
(`float6` remains unsupported in DLPack). The low-level `is_bool_tensor`
override was removed, and `uint8` DLPack metadata now always imports as
`uint8`
([#​33848](microsoft/onnxruntime#33848)).
- **Weightless compilation API migration:**
`OrtCompileApi::ModelCompilationOptions_SetWeightlessEnabled` and the
`ep.enable_weightless` / `ep.enable_weightless_ep_context_nodes` session
options are deprecated in favor of
`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode` (`"0"` = `NONE`, `"1"` = `EXTERNAL_ONLY`,
`"2"` = `ALL`). EPs can now advertise multi-mode capability via
`OrtWeightlessSupport_ALL_OR_EXTERNAL_ONLY` and
`weightless_supported_modes`
([#​32899](microsoft/onnxruntime#32899)).
- **Training CI retirement:** Training build and test lanes were retired
from active GitHub Actions CI workflows while retaining inference build
coverage
([#​33836](microsoft/onnxruntime#33836)).
- This is the last release for [CocoaPods](https://cocoapods.org/), and
we will switch to [Swift Package
Manager](https://docs.swift.org/latest/documentation/packagemanagerdocs/).
- We will use combo onnxruntime-gpu python package to reduce storage
size from next release. You can test it
[here](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime-gpu/overview)

## New Features

### Core APIs & Runtime

- Added `OrtApi::EpDevice_GetMemoryCapacity` (C++
`EpDevice::GetMemoryCapacity()`) and
`OrtEpFactory::GetDeviceMemoryCapacity` to query device-global total
memory and estimated currently available memory (`DEFAULT` or
`HOST_ACCESSIBLE`), with built-in and plugin CUDA EP support
([#​33447](microsoft/onnxruntime#33447)).
- Expanded the app–EP weightless contract so EPs advertise all supported
weightless modes (`weightless_supported_modes`), applications request an
explicit mode (`ModelCompilationOptions_SetWeightlessMode` /
`ep.enable_weightless_mode`), and compiled EPContext models record
`weightless_mode` and `external_dependencies` (`source_model`,
`external_weights`, `ep_context_binary`) in model metadata
([#​32899](microsoft/onnxruntime#32899)).
- Extended `session.use_external_initializer_file_buffers_directly="1"`
to `AddExternalInitializers` for zero-copy borrowing of naturally
aligned CPU buffers larger than 127 bytes on little-endian hosts, and
documented the read-only guarantee for external initializers added via
`OrtModelEditorApi::AddInitializerToGraph` with `data_is_external=true`
([#​33877](microsoft/onnxruntime#33877),
[#​33717](microsoft/onnxruntime#33717)).
- Added lock-free multi-worker pinned-memory staging
(`session.external_data_loader.*`) to accelerate external initializer
loading into GPU memory across built-in and plugin CUDA EPs
([#​33839](microsoft/onnxruntime#33839)).
- Added a session-scoped MoE/QMoE CPU/GPU offload planner and
memory-budget ledger (`session.moe.offload.*`), generic
`session.kernel_dispatch_policy` (`auto`, `latency`, `memory`, `safe`)
configuration plumbing, Level-1 workspace/prepack memory accounting
fallback for nodes absent from memory-profile CSVs, and internal
capability-planning protocol types
([#​33451](microsoft/onnxruntime#33451),
[#​33042](microsoft/onnxruntime#33042),
[#​33311](microsoft/onnxruntime#33311),
[#​33841](microsoft/onnxruntime#33841)).
- Enabled cross-thread reuse of idle device streams when graph capture
is disabled and providers register device-selection callbacks, and
enabled compile-session profiling (`<profile_file>_compile`) in
`onnxruntime_perf_test` when `-p` is used with `--compile_ep_context`
([#​33053](microsoft/onnxruntime#33053),
[#​33694](microsoft/onnxruntime#33694)).
- Made `onnxruntime_DISABLE_EXCEPTIONS` (`--disable_exceptions`) usable
without `onnxruntime_MINIMAL_BUILD` and added the
`onnxruntime_DISABLE_STREAM=ON` CMake option to disable device-stream
support in non-minimal builds
([#​33120](microsoft/onnxruntime#33120),
[#​33482](microsoft/onnxruntime#33482)).

### ONNX Opset 28 & Shared Contrib Operators

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

- Added ONNX opset 28 operator support: native `SpaceToDepth` (`DCR` and
`CRD`) on CPU and CUDA with version-split registrations across DML, JS,
WebGPU, and QNN; opset-28 floating floor-modulus `Mod` on CPU, CUDA, and
DML; opset-28 `BFloat16` support for `Compress`, `OneHot`,
`ReverseSequence`, `Unique`, `Celu`, and `Einsum` on CPU (plus
`Compress`, `OneHot`, and `ReverseSequence` on CUDA); and `BFloat16`
`Pad` (opsets 21–25) on CPU and CUDA
([#​32362](microsoft/onnxruntime#32362),
[#​32369](microsoft/onnxruntime#32369),
[#​32378](microsoft/onnxruntime#32378),
[#​34062](microsoft/onnxruntime#34062)).
- Extended `GatedDeltaNet` with Kimi Delta Attention (KDA)
per-key-dimension decay across CPU, CUDA, and WebGPU, and extended
`GatedDeltaNet` and `CausalConvWithState` state/gate handling for
multi-token speculative decoding
([#​33817](microsoft/onnxruntime#33817),
[#​33471](microsoft/onnxruntime#33471)).
- Added an optional `query_seqlens` input to `GroupQueryAttention` to
skip right-padded prefill tokens and idle batch entries
(`query_seqlens[b] = 0`) on CPU and CUDA, and added `q_norm_epsilon` /
`k_norm_epsilon` attributes to preserve distinct Q and K normalization
epsilons during GQA pre-norm fusion
([#​33503](microsoft/onnxruntime#33503),
[#​33505](microsoft/onnxruntime#33505),
[#​33832](microsoft/onnxruntime#33832),
[#​33363](microsoft/onnxruntime#33363)).
- Defined the INT3 `QMoE` v1 packed-code contract, added opt-in
post-SiLU clipping (`swiglu_limit_after_activation`) and tanh-`GEGLU`
(`activation_type="geglu"`) support to MoE/QMoE schemas, and added
`GatherPacked` (CPU/CUDA), `MatMulPacked` (CUDA, including native Bolt
`global_scale`), and `MoEPacked` (CUDA) to consume native
GGUF/block-packed quantized weights directly
([#​33394](microsoft/onnxruntime#33394),
[#​33954](microsoft/onnxruntime#33954),
[#​33633](microsoft/onnxruntime#33633),
[#​33953](microsoft/onnxruntime#33953),
[#​33962](microsoft/onnxruntime#33962)).
- Added `PackedSparseAttentionIndexerMerge` for multi-token prediction
index sharing and optional `state_status` / mid-state outputs on
`PackedSparseAttentionIndexer` across CUDA and WebGPU; extended
`GatedAdd` with an optional projected `gate_weight` across CPU, CUDA,
and WebGPU; and supported empty unpacked weights in CPU and WebGPU
`MatMulNBits`
([#​33224](microsoft/onnxruntime#33224),
[#​33383](microsoft/onnxruntime#33383),
[#​33472](microsoft/onnxruntime#33472),
[#​33470](microsoft/onnxruntime#33470),
[#​33559](microsoft/onnxruntime#33559)).
- Registered core contrib schemas for provider-targeted LLM and
speculative-decoding operators, including `SwiGLU`, `RMSNormRotary`,
`HyperConnectionLowRankMix`, `RouterGateUpProj`,
`SpeculativePrefixCommit`, `GatedDeltaNetStateReplay`,
`ConvStateReplay`, and `MatMulNBitsQLoRA`
([#​32126](microsoft/onnxruntime#32126),
[#​33469](microsoft/onnxruntime#33469),
[#​33384](microsoft/onnxruntime#33384),
[#​33650](microsoft/onnxruntime#33650),
[#​33474](microsoft/onnxruntime#33474),
[#​33213](microsoft/onnxruntime#33213),
[#​33493](microsoft/onnxruntime#33493),
[#​33370](microsoft/onnxruntime#33370)).

### Plugin Execution Provider Infrastructure

- Fixed an `OrtMemoryInfo` ABI mismatch across the ORT/plugin EP
boundary by converting `OrtMemoryInfo` instances exclusively through the
C API ([#​33571](microsoft/onnxruntime#33571)).
- Zero-initialized `OrtEpFactory` structs in provider-bridge EP
factories so unimplemented optional callbacks are null, and prevented
double DLL initialization and handle leaks when probing and registering
plugin EP libraries
([#​33117](microsoft/onnxruntime#33117),
[#​33701](microsoft/onnxruntime#33701)).
- Hardened portable model-package EP recreation, custom-domain
preservation, UTF-8 path handling, and `shared_assets` path confinement
and symlink validation
([#​32790](microsoft/onnxruntime#32790),
[#​33826](microsoft/onnxruntime#33826)).
 ... (truncated)

Commits viewable in [compare
view](microsoft/onnxruntime@v1.31.1...v1.32.0).
</details>

Updated [Microsoft.NET.Test.Sdk](https://github.com/microsoft/vstest)
from 18.11.0 to 18.12.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.NET.Test.Sdk's
releases](https://github.com/microsoft/vstest/releases)._

## 18.12.0

## Security fix

This release includes the fix for CVE-2026-105544, an elevation of
privilege vulnerability in the VSTest artifact post-processor. The
post-processor could consume a forged `executionComplete.json` written
by another local user, and then run attacker-controlled output handling.

Affected: `Microsoft.TestPlatform.CLI` 18.11.0 and earlier. Every
version from 18.11.1 on is fixed, including 18.12.0.

`Microsoft.TestPlatform.CLI` is the VSTest build that we ship into the
.NET SDK. The recommended way to get this fix is to update your .NET SDK
to the latest patched version, see the advisory for the SDK versions.

The fix is also released in the `Microsoft.TestPlatform.CLI` package,
for completeness. That package is rarely used directly. It is not a
dependency of `Microsoft.NET.Test.Sdk` or `Microsoft.TestPlatform`, so
those packages do not bring it in.

Details: microsoft/vstest#16654 and
dotnet/announcements#517

Using custom Docker images or Nano Server? See
microsoft/vstest#16652

## What's Changed
* Fix TestCaseStart/Stop events dropped for data-driven tests with
shared TestCase.Id by @​nohwnd in
microsoft/vstest#16033
* Stop the discovery manager factory from shadowing discoveryCriteria by
@​nohwnd in microsoft/vstest#16391
* Gate the HTTP link checker on a fingerprint of the broken links by
@​nohwnd in microsoft/vstest#16413
* Quote boolean conditions in shipped Microsoft.TestPlatform.targets by
@​nohwnd in microsoft/vstest#16404
* Obsolete API hygiene: the compatibility-safe changes by @​azat-msft in
microsoft/vstest#16420
* Add xxHash128 test ids, available but not default by @​azat-msft in
microsoft/vstest#16378
* Isolate attachment manager test temporary files by @​mmitche in
microsoft/vstest#16463
* Test ids report logger by @​azat-msft in
microsoft/vstest#16443
* Isolate code coverage files in published output by @​azat-msft in
microsoft/vstest#16483
* Preserve OutputType for Android test projects by @​jonathanpeppers in
microsoft/vstest#16496
* Fix dotnet host resolution under proot (ARM64/Termux) by @​azat-msft
in microsoft/vstest#16462
* Mark the xxHash128 test id API as experimental by @​azat-msft in
microsoft/vstest#16465
* Ship Microsoft.Diagnostics.NETCore.Client in Microsoft.TestPlatform
and Portable packages by @​nohwnd in
microsoft/vstest#16633
* Fix localized resource paths in CLI source-build/non-Windows packages
by @​nohwnd in microsoft/vstest#16644


**Full Changelog**:
microsoft/vstest@v18.11.0...v18.12.0



## 18.11.1

## Security fix

This release fixes CVE-2026-105544, an elevation of privilege
vulnerability in the VSTest artifact post-processor. The post-processor
could consume a forged `executionComplete.json` written by another local
user, and then run attacker-controlled output handling.

Affected: `Microsoft.TestPlatform.CLI` 18.11.0.
Fixed in: `Microsoft.TestPlatform.CLI` 18.11.1.

`Microsoft.TestPlatform.CLI` is the VSTest build that we ship into the
.NET SDK. The recommended way to get this fix is to update your .NET SDK
to the latest patched version, see the advisory for the SDK versions.

The fix is also released in the `Microsoft.TestPlatform.CLI` package,
for completeness. That package is rarely used directly. It is not a
dependency of `Microsoft.NET.Test.Sdk` or `Microsoft.TestPlatform`, so
those packages do not bring it in.

Details: microsoft/vstest#16654 and
dotnet/announcements#517

Using custom Docker images or Nano Server? See
microsoft/vstest#16652

## What's Changed
* Security fix for CVE-2026-105544, see
microsoft/vstest#16654
* Ship Microsoft.Diagnostics.NETCore.Client in Microsoft.TestPlatform
and Portable packages by @​nohwnd in
microsoft/vstest#16632
* Fix localized resource paths in CLI source-build packages by @​nohwnd
in microsoft/vstest#16643

**Full Changelog**:
microsoft/vstest@v18.11.0...v18.11.1

Commits viewable in [compare
view](microsoft/vstest@v18.11.0...v18.12.0).
</details>

Dependabot will resolve any conflicts with this PR as long as you don't
alter it yourself. You can also trigger a rebase manually by commenting
`@dependabot rebase`.

[//]: # (dependabot-automerge-start)
[//]: # (dependabot-automerge-end)

---

<details>
<summary>Dependabot commands and options</summary>
<br />

You can trigger Dependabot actions by commenting on this PR:
- `@dependabot rebase` will rebase this PR
- `@dependabot recreate` will recreate this PR, overwriting any edits
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Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Franklin Moormann (ooples) pushed a commit to ooples/AiDotNet that referenced this pull request Nov 14, 2026
Updated
[Microsoft.AspNetCore.Mvc.Testing](https://github.com/dotnet/dotnet)
from 10.0.14 to 10.0.15.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.AspNetCore.Mvc.Testing's
releases](https://github.com/dotnet/dotnet/releases)._

No release notes found for this version range.

Commits viewable in [compare
view](https://github.com/dotnet/dotnet/commits).
</details>

Updated [Microsoft.Data.Sqlite](https://github.com/dotnet/dotnet) from
10.0.14 to 10.0.15.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.Data.Sqlite's
releases](https://github.com/dotnet/dotnet/releases)._

No release notes found for this version range.

Commits viewable in [compare
view](https://github.com/dotnet/dotnet/commits).
</details>

Updated
[Microsoft.ML.OnnxRuntime](https://github.com/Microsoft/onnxruntime)
from 1.31.1 to 1.32.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.ML.OnnxRuntime's
releases](https://github.com/Microsoft/onnxruntime/releases)._

## 1.32.0

ONNX Runtime 1.32.0 reintegrates ONNX 1.23.2 with opset 28 support,
introduces CPU/GPU hybrid MoE offloading and shared-layout CPU QMoE
kernels, expands device-memory, weightless-compilation, and Python
model-package APIs, dramatically accelerates session initialization on
large graphs, and strengthens runtime and optimizer reliability. These
notes cover changes since ONNX Runtime 1.31.1. CUDA and WebGPU kernel
updates are summarized here; detailed provider notes are covered by
their separate plugin EP releases.

## Highlights

- Reintegrated **ONNX 1.23.2** with **opset 28** operator support
(`SpaceToDepth`, `Mod`, signed `BitShift`, and `BFloat16` extensions)
and updated **DLPack to v1.3** across all implemented ORT numeric and
boolean tensor types
([#​33134](microsoft/onnxruntime#33134),
[#​32362](microsoft/onnxruntime#32362),
[#​33848](microsoft/onnxruntime#33848)).
- Added a session-scoped **CPU/GPU hybrid MoE offload** planner and
execution backend for quantized `QMoE` (NVFP4, INT4, INT3, and INT2) and
block-packed `MoEPacked` models, backed by shared-layout AVX-512/AVX2
CPU `QMoE` kernels and memory-mapped expert storage
([#​33450](microsoft/onnxruntime#33450),
[#​33451](microsoft/onnxruntime#33451),
[#​33452](microsoft/onnxruntime#33452),
[#​33973](microsoft/onnxruntime#33973)).
- Expanded core APIs with `OrtApi::EpDevice_GetMemoryCapacity`, explicit
multi-mode weightless compilation
(`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode`), Python bindings for the Model Package
APIs, and zero-copy CPU buffer borrowing in `AddExternalInitializers`
([#​33447](microsoft/onnxruntime#33447),
[#​32899](microsoft/onnxruntime#32899),
[#​33640](microsoft/onnxruntime#33640),
[#​33877](microsoft/onnxruntime#33877)).
- Eliminated superlinear bottlenecks in allocation planning, constant
sharing, graph I/O mapping, and topological sorting—reducing session
initialization on 100k-node constant-heavy graphs from minutes to
seconds—and added pipelined pinned-memory staging for external GPU
weight loading
([#​33407](microsoft/onnxruntime#33407),
[#​33939](microsoft/onnxruntime#33939),
[#​34009](microsoft/onnxruntime#34009),
[#​33839](microsoft/onnxruntime#33839)).
- Expanded shared generative AI and quantized contrib operators,
including Kimi Delta Attention (`GatedDeltaNet` per-key-dimension
decay), right-padded chunked prefill in `GroupQueryAttention`, native
GGUF/block-packed operators (`GatherPacked`, `MatMulPacked`,
`MoEPacked`), and sparse-attention index sharing
([#​33817](microsoft/onnxruntime#33817),
[#​33503](microsoft/onnxruntime#33503),
[#​33953](microsoft/onnxruntime#33953),
[#​33224](microsoft/onnxruntime#33224)).

## Announcements & Compatibility

- **CUDA Plugin EP v0.4.0** and **WebGPU Plugin EP v0.6.0** are matched
with ONNX Runtime 1.32.0
([#​33214](microsoft/onnxruntime#33214)). 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.
- **ACL EP removed:** Following its deprecation in 1.31.0, the Arm
Compute Library (`ACLExecutionProvider`) execution provider, its build
options, and its standalone C registration API have been removed.
Python's `get_all_providers()` no longer lists `ACLExecutionProvider`;
applications should remove it from explicit provider lists
([#​33851](microsoft/onnxruntime#33851)).
- **Legacy provider-bridge `NvTensorRTRTXExecutionProvider` removed:**
In-tree provider-bridge `NvTensorRTRTXExecutionProvider` sources have
been removed in favor of the standalone NVIDIA TensorRT RTX plugin EP
registered via `OrtApi::RegisterExecutionProviderLibrary`.
`NvTensorRtRtxProviderOptions` is retained as a deprecated declaration
for source compatibility, and legacy `AppendExecutionProvider` calls now
report a deprecation error directing callers to the plugin EP
([#​32276](microsoft/onnxruntime#32276)).
- **ONNX 1.23.2 integration:** ONNX has been upgraded to **1.23.2**,
raising supported opset ceilings to **28** and restoring
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E2M3` and
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E3M2` public element-type mappings
and `Cast` conversions
([#​33134](microsoft/onnxruntime#33134)).
- **DLPack v1.3 boolean contract change:** DLPack has been upgraded to
**v1.3** with native `kDLBool` metadata and bidirectional support for
all implemented ORT numeric and boolean types, including all five
`float8` formats, packed `float4`, `int4`/`uint4`, and `int2`/`uint2`
(`float6` remains unsupported in DLPack). The low-level `is_bool_tensor`
override was removed, and `uint8` DLPack metadata now always imports as
`uint8`
([#​33848](microsoft/onnxruntime#33848)).
- **Weightless compilation API migration:**
`OrtCompileApi::ModelCompilationOptions_SetWeightlessEnabled` and the
`ep.enable_weightless` / `ep.enable_weightless_ep_context_nodes` session
options are deprecated in favor of
`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode` (`"0"` = `NONE`, `"1"` = `EXTERNAL_ONLY`,
`"2"` = `ALL`). EPs can now advertise multi-mode capability via
`OrtWeightlessSupport_ALL_OR_EXTERNAL_ONLY` and
`weightless_supported_modes`
([#​32899](microsoft/onnxruntime#32899)).
- **Training CI retirement:** Training build and test lanes were retired
from active GitHub Actions CI workflows while retaining inference build
coverage
([#​33836](microsoft/onnxruntime#33836)).
- This is the last release for [CocoaPods](https://cocoapods.org/), and
we will switch to [Swift Package
Manager](https://docs.swift.org/latest/documentation/packagemanagerdocs/).
- We will use combo onnxruntime-gpu python package to reduce storage
size from next release. You can test it
[here](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime-gpu/overview)

## New Features

### Core APIs & Runtime

- Added `OrtApi::EpDevice_GetMemoryCapacity` (C++
`EpDevice::GetMemoryCapacity()`) and
`OrtEpFactory::GetDeviceMemoryCapacity` to query device-global total
memory and estimated currently available memory (`DEFAULT` or
`HOST_ACCESSIBLE`), with built-in and plugin CUDA EP support
([#​33447](microsoft/onnxruntime#33447)).
- Expanded the app–EP weightless contract so EPs advertise all supported
weightless modes (`weightless_supported_modes`), applications request an
explicit mode (`ModelCompilationOptions_SetWeightlessMode` /
`ep.enable_weightless_mode`), and compiled EPContext models record
`weightless_mode` and `external_dependencies` (`source_model`,
`external_weights`, `ep_context_binary`) in model metadata
([#​32899](microsoft/onnxruntime#32899)).
- Extended `session.use_external_initializer_file_buffers_directly="1"`
to `AddExternalInitializers` for zero-copy borrowing of naturally
aligned CPU buffers larger than 127 bytes on little-endian hosts, and
documented the read-only guarantee for external initializers added via
`OrtModelEditorApi::AddInitializerToGraph` with `data_is_external=true`
([#​33877](microsoft/onnxruntime#33877),
[#​33717](microsoft/onnxruntime#33717)).
- Added lock-free multi-worker pinned-memory staging
(`session.external_data_loader.*`) to accelerate external initializer
loading into GPU memory across built-in and plugin CUDA EPs
([#​33839](microsoft/onnxruntime#33839)).
- Added a session-scoped MoE/QMoE CPU/GPU offload planner and
memory-budget ledger (`session.moe.offload.*`), generic
`session.kernel_dispatch_policy` (`auto`, `latency`, `memory`, `safe`)
configuration plumbing, Level-1 workspace/prepack memory accounting
fallback for nodes absent from memory-profile CSVs, and internal
capability-planning protocol types
([#​33451](microsoft/onnxruntime#33451),
[#​33042](microsoft/onnxruntime#33042),
[#​33311](microsoft/onnxruntime#33311),
[#​33841](microsoft/onnxruntime#33841)).
- Enabled cross-thread reuse of idle device streams when graph capture
is disabled and providers register device-selection callbacks, and
enabled compile-session profiling (`<profile_file>_compile`) in
`onnxruntime_perf_test` when `-p` is used with `--compile_ep_context`
([#​33053](microsoft/onnxruntime#33053),
[#​33694](microsoft/onnxruntime#33694)).
- Made `onnxruntime_DISABLE_EXCEPTIONS` (`--disable_exceptions`) usable
without `onnxruntime_MINIMAL_BUILD` and added the
`onnxruntime_DISABLE_STREAM=ON` CMake option to disable device-stream
support in non-minimal builds
([#​33120](microsoft/onnxruntime#33120),
[#​33482](microsoft/onnxruntime#33482)).

### ONNX Opset 28 & Shared Contrib Operators

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

- Added ONNX opset 28 operator support: native `SpaceToDepth` (`DCR` and
`CRD`) on CPU and CUDA with version-split registrations across DML, JS,
WebGPU, and QNN; opset-28 floating floor-modulus `Mod` on CPU, CUDA, and
DML; opset-28 `BFloat16` support for `Compress`, `OneHot`,
`ReverseSequence`, `Unique`, `Celu`, and `Einsum` on CPU (plus
`Compress`, `OneHot`, and `ReverseSequence` on CUDA); and `BFloat16`
`Pad` (opsets 21–25) on CPU and CUDA
([#​32362](microsoft/onnxruntime#32362),
[#​32369](microsoft/onnxruntime#32369),
[#​32378](microsoft/onnxruntime#32378),
[#​34062](microsoft/onnxruntime#34062)).
- Extended `GatedDeltaNet` with Kimi Delta Attention (KDA)
per-key-dimension decay across CPU, CUDA, and WebGPU, and extended
`GatedDeltaNet` and `CausalConvWithState` state/gate handling for
multi-token speculative decoding
([#​33817](microsoft/onnxruntime#33817),
[#​33471](microsoft/onnxruntime#33471)).
- Added an optional `query_seqlens` input to `GroupQueryAttention` to
skip right-padded prefill tokens and idle batch entries
(`query_seqlens[b] = 0`) on CPU and CUDA, and added `q_norm_epsilon` /
`k_norm_epsilon` attributes to preserve distinct Q and K normalization
epsilons during GQA pre-norm fusion
([#​33503](microsoft/onnxruntime#33503),
[#​33505](microsoft/onnxruntime#33505),
[#​33832](microsoft/onnxruntime#33832),
[#​33363](microsoft/onnxruntime#33363)).
- Defined the INT3 `QMoE` v1 packed-code contract, added opt-in
post-SiLU clipping (`swiglu_limit_after_activation`) and tanh-`GEGLU`
(`activation_type="geglu"`) support to MoE/QMoE schemas, and added
`GatherPacked` (CPU/CUDA), `MatMulPacked` (CUDA, including native Bolt
`global_scale`), and `MoEPacked` (CUDA) to consume native
GGUF/block-packed quantized weights directly
([#​33394](microsoft/onnxruntime#33394),
[#​33954](microsoft/onnxruntime#33954),
[#​33633](microsoft/onnxruntime#33633),
[#​33953](microsoft/onnxruntime#33953),
[#​33962](microsoft/onnxruntime#33962)).
- Added `PackedSparseAttentionIndexerMerge` for multi-token prediction
index sharing and optional `state_status` / mid-state outputs on
`PackedSparseAttentionIndexer` across CUDA and WebGPU; extended
`GatedAdd` with an optional projected `gate_weight` across CPU, CUDA,
and WebGPU; and supported empty unpacked weights in CPU and WebGPU
`MatMulNBits`
([#​33224](microsoft/onnxruntime#33224),
[#​33383](microsoft/onnxruntime#33383),
[#​33472](microsoft/onnxruntime#33472),
[#​33470](microsoft/onnxruntime#33470),
[#​33559](microsoft/onnxruntime#33559)).
- Registered core contrib schemas for provider-targeted LLM and
speculative-decoding operators, including `SwiGLU`, `RMSNormRotary`,
`HyperConnectionLowRankMix`, `RouterGateUpProj`,
`SpeculativePrefixCommit`, `GatedDeltaNetStateReplay`,
`ConvStateReplay`, and `MatMulNBitsQLoRA`
([#​32126](microsoft/onnxruntime#32126),
[#​33469](microsoft/onnxruntime#33469),
[#​33384](microsoft/onnxruntime#33384),
[#​33650](microsoft/onnxruntime#33650),
[#​33474](microsoft/onnxruntime#33474),
[#​33213](microsoft/onnxruntime#33213),
[#​33493](microsoft/onnxruntime#33493),
[#​33370](microsoft/onnxruntime#33370)).

### Plugin Execution Provider Infrastructure

- Fixed an `OrtMemoryInfo` ABI mismatch across the ORT/plugin EP
boundary by converting `OrtMemoryInfo` instances exclusively through the
C API ([#​33571](microsoft/onnxruntime#33571)).
- Zero-initialized `OrtEpFactory` structs in provider-bridge EP
factories so unimplemented optional callbacks are null, and prevented
double DLL initialization and handle leaks when probing and registering
plugin EP libraries
([#​33117](microsoft/onnxruntime#33117),
[#​33701](microsoft/onnxruntime#33701)).
- Hardened portable model-package EP recreation, custom-domain
preservation, UTF-8 path handling, and `shared_assets` path confinement
and symlink validation
([#​32790](microsoft/onnxruntime#32790),
[#​33826](microsoft/onnxruntime#33826)).
 ... (truncated)

Commits viewable in [compare
view](microsoft/onnxruntime@v1.31.1...v1.32.0).
</details>

Updated
[Microsoft.ML.OnnxRuntime.Managed](https://github.com/microsoft/onnxruntime)
from 1.31.1 to 1.32.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.ML.OnnxRuntime.Managed's
releases](https://github.com/microsoft/onnxruntime/releases)._

## 1.32.0

ONNX Runtime 1.32.0 reintegrates ONNX 1.23.2 with opset 28 support,
introduces CPU/GPU hybrid MoE offloading and shared-layout CPU QMoE
kernels, expands device-memory, weightless-compilation, and Python
model-package APIs, dramatically accelerates session initialization on
large graphs, and strengthens runtime and optimizer reliability. These
notes cover changes since ONNX Runtime 1.31.1. CUDA and WebGPU kernel
updates are summarized here; detailed provider notes are covered by
their separate plugin EP releases.

## Highlights

- Reintegrated **ONNX 1.23.2** with **opset 28** operator support
(`SpaceToDepth`, `Mod`, signed `BitShift`, and `BFloat16` extensions)
and updated **DLPack to v1.3** across all implemented ORT numeric and
boolean tensor types
([#​33134](microsoft/onnxruntime#33134),
[#​32362](microsoft/onnxruntime#32362),
[#​33848](microsoft/onnxruntime#33848)).
- Added a session-scoped **CPU/GPU hybrid MoE offload** planner and
execution backend for quantized `QMoE` (NVFP4, INT4, INT3, and INT2) and
block-packed `MoEPacked` models, backed by shared-layout AVX-512/AVX2
CPU `QMoE` kernels and memory-mapped expert storage
([#​33450](microsoft/onnxruntime#33450),
[#​33451](microsoft/onnxruntime#33451),
[#​33452](microsoft/onnxruntime#33452),
[#​33973](microsoft/onnxruntime#33973)).
- Expanded core APIs with `OrtApi::EpDevice_GetMemoryCapacity`, explicit
multi-mode weightless compilation
(`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode`), Python bindings for the Model Package
APIs, and zero-copy CPU buffer borrowing in `AddExternalInitializers`
([#​33447](microsoft/onnxruntime#33447),
[#​32899](microsoft/onnxruntime#32899),
[#​33640](microsoft/onnxruntime#33640),
[#​33877](microsoft/onnxruntime#33877)).
- Eliminated superlinear bottlenecks in allocation planning, constant
sharing, graph I/O mapping, and topological sorting—reducing session
initialization on 100k-node constant-heavy graphs from minutes to
seconds—and added pipelined pinned-memory staging for external GPU
weight loading
([#​33407](microsoft/onnxruntime#33407),
[#​33939](microsoft/onnxruntime#33939),
[#​34009](microsoft/onnxruntime#34009),
[#​33839](microsoft/onnxruntime#33839)).
- Expanded shared generative AI and quantized contrib operators,
including Kimi Delta Attention (`GatedDeltaNet` per-key-dimension
decay), right-padded chunked prefill in `GroupQueryAttention`, native
GGUF/block-packed operators (`GatherPacked`, `MatMulPacked`,
`MoEPacked`), and sparse-attention index sharing
([#​33817](microsoft/onnxruntime#33817),
[#​33503](microsoft/onnxruntime#33503),
[#​33953](microsoft/onnxruntime#33953),
[#​33224](microsoft/onnxruntime#33224)).

## Announcements & Compatibility

- **CUDA Plugin EP v0.4.0** and **WebGPU Plugin EP v0.6.0** are matched
with ONNX Runtime 1.32.0
([#​33214](microsoft/onnxruntime#33214)). 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.
- **ACL EP removed:** Following its deprecation in 1.31.0, the Arm
Compute Library (`ACLExecutionProvider`) execution provider, its build
options, and its standalone C registration API have been removed.
Python's `get_all_providers()` no longer lists `ACLExecutionProvider`;
applications should remove it from explicit provider lists
([#​33851](microsoft/onnxruntime#33851)).
- **Legacy provider-bridge `NvTensorRTRTXExecutionProvider` removed:**
In-tree provider-bridge `NvTensorRTRTXExecutionProvider` sources have
been removed in favor of the standalone NVIDIA TensorRT RTX plugin EP
registered via `OrtApi::RegisterExecutionProviderLibrary`.
`NvTensorRtRtxProviderOptions` is retained as a deprecated declaration
for source compatibility, and legacy `AppendExecutionProvider` calls now
report a deprecation error directing callers to the plugin EP
([#​32276](microsoft/onnxruntime#32276)).
- **ONNX 1.23.2 integration:** ONNX has been upgraded to **1.23.2**,
raising supported opset ceilings to **28** and restoring
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E2M3` and
`ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT6E3M2` public element-type mappings
and `Cast` conversions
([#​33134](microsoft/onnxruntime#33134)).
- **DLPack v1.3 boolean contract change:** DLPack has been upgraded to
**v1.3** with native `kDLBool` metadata and bidirectional support for
all implemented ORT numeric and boolean types, including all five
`float8` formats, packed `float4`, `int4`/`uint4`, and `int2`/`uint2`
(`float6` remains unsupported in DLPack). The low-level `is_bool_tensor`
override was removed, and `uint8` DLPack metadata now always imports as
`uint8`
([#​33848](microsoft/onnxruntime#33848)).
- **Weightless compilation API migration:**
`OrtCompileApi::ModelCompilationOptions_SetWeightlessEnabled` and the
`ep.enable_weightless` / `ep.enable_weightless_ep_context_nodes` session
options are deprecated in favor of
`ModelCompilationOptions_SetWeightlessMode` and
`ep.enable_weightless_mode` (`"0"` = `NONE`, `"1"` = `EXTERNAL_ONLY`,
`"2"` = `ALL`). EPs can now advertise multi-mode capability via
`OrtWeightlessSupport_ALL_OR_EXTERNAL_ONLY` and
`weightless_supported_modes`
([#​32899](microsoft/onnxruntime#32899)).
- **Training CI retirement:** Training build and test lanes were retired
from active GitHub Actions CI workflows while retaining inference build
coverage
([#​33836](microsoft/onnxruntime#33836)).
- This is the last release for [CocoaPods](https://cocoapods.org/), and
we will switch to [Swift Package
Manager](https://docs.swift.org/latest/documentation/packagemanagerdocs/).
- We will use combo onnxruntime-gpu python package to reduce storage
size from next release. You can test it
[here](https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/onnxruntime-gpu/overview)

## New Features

### Core APIs & Runtime

- Added `OrtApi::EpDevice_GetMemoryCapacity` (C++
`EpDevice::GetMemoryCapacity()`) and
`OrtEpFactory::GetDeviceMemoryCapacity` to query device-global total
memory and estimated currently available memory (`DEFAULT` or
`HOST_ACCESSIBLE`), with built-in and plugin CUDA EP support
([#​33447](microsoft/onnxruntime#33447)).
- Expanded the app–EP weightless contract so EPs advertise all supported
weightless modes (`weightless_supported_modes`), applications request an
explicit mode (`ModelCompilationOptions_SetWeightlessMode` /
`ep.enable_weightless_mode`), and compiled EPContext models record
`weightless_mode` and `external_dependencies` (`source_model`,
`external_weights`, `ep_context_binary`) in model metadata
([#​32899](microsoft/onnxruntime#32899)).
- Extended `session.use_external_initializer_file_buffers_directly="1"`
to `AddExternalInitializers` for zero-copy borrowing of naturally
aligned CPU buffers larger than 127 bytes on little-endian hosts, and
documented the read-only guarantee for external initializers added via
`OrtModelEditorApi::AddInitializerToGraph` with `data_is_external=true`
([#​33877](microsoft/onnxruntime#33877),
[#​33717](microsoft/onnxruntime#33717)).
- Added lock-free multi-worker pinned-memory staging
(`session.external_data_loader.*`) to accelerate external initializer
loading into GPU memory across built-in and plugin CUDA EPs
([#​33839](microsoft/onnxruntime#33839)).
- Added a session-scoped MoE/QMoE CPU/GPU offload planner and
memory-budget ledger (`session.moe.offload.*`), generic
`session.kernel_dispatch_policy` (`auto`, `latency`, `memory`, `safe`)
configuration plumbing, Level-1 workspace/prepack memory accounting
fallback for nodes absent from memory-profile CSVs, and internal
capability-planning protocol types
([#​33451](microsoft/onnxruntime#33451),
[#​33042](microsoft/onnxruntime#33042),
[#​33311](microsoft/onnxruntime#33311),
[#​33841](microsoft/onnxruntime#33841)).
- Enabled cross-thread reuse of idle device streams when graph capture
is disabled and providers register device-selection callbacks, and
enabled compile-session profiling (`<profile_file>_compile`) in
`onnxruntime_perf_test` when `-p` is used with `--compile_ep_context`
([#​33053](microsoft/onnxruntime#33053),
[#​33694](microsoft/onnxruntime#33694)).
- Made `onnxruntime_DISABLE_EXCEPTIONS` (`--disable_exceptions`) usable
without `onnxruntime_MINIMAL_BUILD` and added the
`onnxruntime_DISABLE_STREAM=ON` CMake option to disable device-stream
support in non-minimal builds
([#​33120](microsoft/onnxruntime#33120),
[#​33482](microsoft/onnxruntime#33482)).

### ONNX Opset 28 & Shared Contrib Operators

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

- Added ONNX opset 28 operator support: native `SpaceToDepth` (`DCR` and
`CRD`) on CPU and CUDA with version-split registrations across DML, JS,
WebGPU, and QNN; opset-28 floating floor-modulus `Mod` on CPU, CUDA, and
DML; opset-28 `BFloat16` support for `Compress`, `OneHot`,
`ReverseSequence`, `Unique`, `Celu`, and `Einsum` on CPU (plus
`Compress`, `OneHot`, and `ReverseSequence` on CUDA); and `BFloat16`
`Pad` (opsets 21–25) on CPU and CUDA
([#​32362](microsoft/onnxruntime#32362),
[#​32369](microsoft/onnxruntime#32369),
[#​32378](microsoft/onnxruntime#32378),
[#​34062](microsoft/onnxruntime#34062)).
- Extended `GatedDeltaNet` with Kimi Delta Attention (KDA)
per-key-dimension decay across CPU, CUDA, and WebGPU, and extended
`GatedDeltaNet` and `CausalConvWithState` state/gate handling for
multi-token speculative decoding
([#​33817](microsoft/onnxruntime#33817),
[#​33471](microsoft/onnxruntime#33471)).
- Added an optional `query_seqlens` input to `GroupQueryAttention` to
skip right-padded prefill tokens and idle batch entries
(`query_seqlens[b] = 0`) on CPU and CUDA, and added `q_norm_epsilon` /
`k_norm_epsilon` attributes to preserve distinct Q and K normalization
epsilons during GQA pre-norm fusion
([#​33503](microsoft/onnxruntime#33503),
[#​33505](microsoft/onnxruntime#33505),
[#​33832](microsoft/onnxruntime#33832),
[#​33363](microsoft/onnxruntime#33363)).
- Defined the INT3 `QMoE` v1 packed-code contract, added opt-in
post-SiLU clipping (`swiglu_limit_after_activation`) and tanh-`GEGLU`
(`activation_type="geglu"`) support to MoE/QMoE schemas, and added
`GatherPacked` (CPU/CUDA), `MatMulPacked` (CUDA, including native Bolt
`global_scale`), and `MoEPacked` (CUDA) to consume native
GGUF/block-packed quantized weights directly
([#​33394](microsoft/onnxruntime#33394),
[#​33954](microsoft/onnxruntime#33954),
[#​33633](microsoft/onnxruntime#33633),
[#​33953](microsoft/onnxruntime#33953),
[#​33962](microsoft/onnxruntime#33962)).
- Added `PackedSparseAttentionIndexerMerge` for multi-token prediction
index sharing and optional `state_status` / mid-state outputs on
`PackedSparseAttentionIndexer` across CUDA and WebGPU; extended
`GatedAdd` with an optional projected `gate_weight` across CPU, CUDA,
and WebGPU; and supported empty unpacked weights in CPU and WebGPU
`MatMulNBits`
([#​33224](microsoft/onnxruntime#33224),
[#​33383](microsoft/onnxruntime#33383),
[#​33472](microsoft/onnxruntime#33472),
[#​33470](microsoft/onnxruntime#33470),
[#​33559](microsoft/onnxruntime#33559)).
- Registered core contrib schemas for provider-targeted LLM and
speculative-decoding operators, including `SwiGLU`, `RMSNormRotary`,
`HyperConnectionLowRankMix`, `RouterGateUpProj`,
`SpeculativePrefixCommit`, `GatedDeltaNetStateReplay`,
`ConvStateReplay`, and `MatMulNBitsQLoRA`
([#​32126](microsoft/onnxruntime#32126),
[#​33469](microsoft/onnxruntime#33469),
[#​33384](microsoft/onnxruntime#33384),
[#​33650](microsoft/onnxruntime#33650),
[#​33474](microsoft/onnxruntime#33474),
[#​33213](microsoft/onnxruntime#33213),
[#​33493](microsoft/onnxruntime#33493),
[#​33370](microsoft/onnxruntime#33370)).

### Plugin Execution Provider Infrastructure

- Fixed an `OrtMemoryInfo` ABI mismatch across the ORT/plugin EP
boundary by converting `OrtMemoryInfo` instances exclusively through the
C API ([#​33571](microsoft/onnxruntime#33571)).
- Zero-initialized `OrtEpFactory` structs in provider-bridge EP
factories so unimplemented optional callbacks are null, and prevented
double DLL initialization and handle leaks when probing and registering
plugin EP libraries
([#​33117](microsoft/onnxruntime#33117),
[#​33701](microsoft/onnxruntime#33701)).
- Hardened portable model-package EP recreation, custom-domain
preservation, UTF-8 path handling, and `shared_assets` path confinement
and symlink validation
([#​32790](microsoft/onnxruntime#32790),
[#​33826](microsoft/onnxruntime#33826)).
 ... (truncated)

Commits viewable in [compare
view](microsoft/onnxruntime@v1.31.1...v1.32.0).
</details>

Updated [Microsoft.NET.Test.Sdk](https://github.com/microsoft/vstest)
from 18.11.0 to 18.12.0.

<details>
<summary>Release notes</summary>

_Sourced from [Microsoft.NET.Test.Sdk's
releases](https://github.com/microsoft/vstest/releases)._

## 18.12.0

## Security fix

This release includes the fix for CVE-2026-105544, an elevation of
privilege vulnerability in the VSTest artifact post-processor. The
post-processor could consume a forged `executionComplete.json` written
by another local user, and then run attacker-controlled output handling.

Affected: `Microsoft.TestPlatform.CLI` 18.11.0 and earlier. Every
version from 18.11.1 on is fixed, including 18.12.0.

`Microsoft.TestPlatform.CLI` is the VSTest build that we ship into the
.NET SDK. The recommended way to get this fix is to update your .NET SDK
to the latest patched version, see the advisory for the SDK versions.

The fix is also released in the `Microsoft.TestPlatform.CLI` package,
for completeness. That package is rarely used directly. It is not a
dependency of `Microsoft.NET.Test.Sdk` or `Microsoft.TestPlatform`, so
those packages do not bring it in.

Details: microsoft/vstest#16654 and
dotnet/announcements#517

Using custom Docker images or Nano Server? See
microsoft/vstest#16652

## What's Changed
* Fix TestCaseStart/Stop events dropped for data-driven tests with
shared TestCase.Id by @​nohwnd in
microsoft/vstest#16033
* Stop the discovery manager factory from shadowing discoveryCriteria by
@​nohwnd in microsoft/vstest#16391
* Gate the HTTP link checker on a fingerprint of the broken links by
@​nohwnd in microsoft/vstest#16413
* Quote boolean conditions in shipped Microsoft.TestPlatform.targets by
@​nohwnd in microsoft/vstest#16404
* Obsolete API hygiene: the compatibility-safe changes by @​azat-msft in
microsoft/vstest#16420
* Add xxHash128 test ids, available but not default by @​azat-msft in
microsoft/vstest#16378
* Isolate attachment manager test temporary files by @​mmitche in
microsoft/vstest#16463
* Test ids report logger by @​azat-msft in
microsoft/vstest#16443
* Isolate code coverage files in published output by @​azat-msft in
microsoft/vstest#16483
* Preserve OutputType for Android test projects by @​jonathanpeppers in
microsoft/vstest#16496
* Fix dotnet host resolution under proot (ARM64/Termux) by @​azat-msft
in microsoft/vstest#16462
* Mark the xxHash128 test id API as experimental by @​azat-msft in
microsoft/vstest#16465
* Ship Microsoft.Diagnostics.NETCore.Client in Microsoft.TestPlatform
and Portable packages by @​nohwnd in
microsoft/vstest#16633
* Fix localized resource paths in CLI source-build/non-Windows packages
by @​nohwnd in microsoft/vstest#16644


**Full Changelog**:
microsoft/vstest@v18.11.0...v18.12.0



## 18.11.1

## Security fix

This release fixes CVE-2026-105544, an elevation of privilege
vulnerability in the VSTest artifact post-processor. The post-processor
could consume a forged `executionComplete.json` written by another local
user, and then run attacker-controlled output handling.

Affected: `Microsoft.TestPlatform.CLI` 18.11.0.
Fixed in: `Microsoft.TestPlatform.CLI` 18.11.1.

`Microsoft.TestPlatform.CLI` is the VSTest build that we ship into the
.NET SDK. The recommended way to get this fix is to update your .NET SDK
to the latest patched version, see the advisory for the SDK versions.

The fix is also released in the `Microsoft.TestPlatform.CLI` package,
for completeness. That package is rarely used directly. It is not a
dependency of `Microsoft.NET.Test.Sdk` or `Microsoft.TestPlatform`, so
those packages do not bring it in.

Details: microsoft/vstest#16654 and
dotnet/announcements#517

Using custom Docker images or Nano Server? See
microsoft/vstest#16652

## What's Changed
* Security fix for CVE-2026-105544, see
microsoft/vstest#16654
* Ship Microsoft.Diagnostics.NETCore.Client in Microsoft.TestPlatform
and Portable packages by @​nohwnd in
microsoft/vstest#16632
* Fix localized resource paths in CLI source-build packages by @​nohwnd
in microsoft/vstest#16643

**Full Changelog**:
microsoft/vstest@v18.11.0...v18.11.1

Commits viewable in [compare
view](microsoft/vstest@v18.11.0...v18.12.0).
</details>

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