Repository navigation
Fix model package EP setup and stable API contracts - #32790
Merged
Merged
Conversation
Member
Author
|
Copilot resolve the merge conflicts in this pull request |
Contributor
Resolved the conflicts and merged |
Contributor
There was a problem hiding this comment.
🟡 Changes recommended
Some standalone package queries still overwrite caller outputs on failure despite the stated preservation contract.
2 open findings
What changed in this PR
Updates model-package EP recreation, experimental API contracts, stable query storage, and UTF-8 filesystem handling.
Changes:
- Preserves selected EP factories, defaults, custom domains, and caller provider chains.
- Introduces the SinceV31 major/minor schema-version API and stable query outputs.
- Adds UTF-8 path handling and regression coverage across the package library.
| File | Description |
|---|---|
onnxruntime/test/autoep/test_model_package.cc |
Adds API, EP, lifetime, and Unicode tests. |
onnxruntime/core/session/utils.h |
Extends EP-selection metadata input. |
onnxruntime/core/session/utils.cc |
Recreates and validates selected providers. |
onnxruntime/core/session/model_package/README.md |
Documents revised contracts. |
onnxruntime/core/session/model_package/model_package_variant_selector.cc |
Handles CPU device matching. |
onnxruntime/core/session/model_package/model_package_options.h |
Removes consumable provider storage. |
onnxruntime/core/session/model_package/model_package_options.cc |
Captures factories and selected devices. |
onnxruntime/core/session/model_package/model_package_context.h |
Adds stable caches and factory ownership. |
onnxruntime/core/session/model_package/model_package_context.cc |
Configures sessions and UTF-8 paths. |
onnxruntime/core/session/model_package_api.cc |
Updates API output and session behavior. |
model_package/tests/test_inspection.cc |
Tests Unicode and resolution failures. |
model_package/tests/test_commit.cc |
Tests UTF-8 commits and assets. |
model_package/tests/test_authoring.cc |
Uses UTF-8 authoring paths. |
model_package/tests/test_asset_hashing.cc |
Tests Unicode hashing compatibility. |
model_package/src/sha256.cc |
Opens UTF-8 file paths. |
model_package/src/path_resolver.cc |
Resolves and reports UTF-8 paths. |
model_package/src/model_package_impl.cc |
Adds UTF-8 conversion boundaries. |
model_package/src/manifest_parser.cc |
Parses UTF-8 paths and improves errors. |
model_package/src/commit_prune_validate.cc |
Uses UTF-8 paths during persistence. |
model_package/src/authoring.cc |
Handles UTF-8 authoring inputs. |
model_package/src/asset_hasher.cc |
Hashes files through UTF-8 paths. |
model_package/README.md |
Documents UTF-8 behavior. |
model_package/include/model_package.h |
Declares UTF-8 string contract. |
model_package/include/model_package_api.h |
Expands the I/O error definition. |
include/onnxruntime/core/session/onnxruntime_experimental_c_api.inc |
Defines revised experimental contracts. |
🧠 Review effort: Balanced
💡 Configure MCP servers for context-aware, tailored reviews. Learn more in the docs.
Xiaoyu Z (xiaoyu-work)
marked this pull request as ready for review
October 7, 2026 18:44
Preserve selected EP factories, device defaults and custom domains before model load. Honor caller-supplied provider chains and reject silent loss of the selected EP. Keep query storage stable, preserve failed outputs, and use UTF-8 paths across the package library and runtime. Replace the schema-version lookup with SinceV31 major/minor outputs and add regression coverage.
Preserve existing asset hash bytes, translate filesystem conversion errors into status returns, and honor must_exist for bare shared-asset references without encoding or hash fallback. Add before/after regressions for existing packages and invalid paths. Use explicit provider-option maps to remove GCC overload ambiguity in the runtime tests.
Xiaoyu Z (xiaoyu-work)
force-pushed
the
fix/model-package-api-hardening
branch
from
October 8, 2026 00:04
a56ea60 to
2e7bb43
Compare
Tianlei Wu (tianleiwu)
previously approved these changes
Oct 8, 2026
Tianlei Wu (tianleiwu)
left a comment
Tianlei Wu (tianleiwu)
left a comment
Contributor
There was a problem hiding this comment.
Reviewed the current head, including EP factory retention and recreation, device defaults and custom domains before model load, caller-supplied provider chains, query storage lifetimes, failed-output preservation, and UTF-8 filesystem boundaries. No additional actionable findings.
The two earlier output-preservation concerns are fixed in the current source and already resolved; I am not duplicating those threads.
Validation: configured and built the standalone model_package library with MODEL_PACKAGE_BUILD_TESTS=ON, then ran ctest --test-dir <review-build> --output-on-failure. All four suites passed, totaling 78 checks (inspection 22, asset hashing 15, authoring 23, commit 18). Full ORT/auto-EP integration tests and Windows-specific behavior were not executed locally; this validation was on Linux.
…tput-contract # Conflicts: # include/onnxruntime/core/session/onnxruntime_experimental_c_api.inc # onnxruntime/core/session/model_package/README.md # onnxruntime/core/session/model_package_api.cc # onnxruntime/test/autoep/test_model_package.cc
Xiaoyu Z (xiaoyu-work)
changed the title
Tianlei Wu (tianleiwu)
approved these changes
Oct 9, 2026
Tianlei Wu (tianleiwu)
left a comment
Tianlei Wu (tianleiwu)
left a comment
Contributor
There was a problem hiding this comment.
Reviewed the current head against its current main-branch base, including the follow-up changes since the earlier review. No additional actionable findings.
The changes preserve the selected EP factory and caller-supplied provider chains, apply missing device defaults and custom domains before model load, reject loss of the selected non-CPU EP, and stabilize query storage. The standalone UTF-8 and failed-output changes are consistent with the documented contracts; the unreleased validation API removal updates its build, declarations, implementation, documentation, and tests.
The two earlier output-preservation findings are fixed and their threads are already resolved; no duplicate inline comments are needed.
Local validation on an isolated checkout of b434a1a (Linux):
cmake -S <review-checkout>/model_package -B <review-build> -DCMAKE_BUILD_TYPE=Release -DMODEL_PACKAGE_BUILD_TESTS=ON— passed.cmake --build <review-build> --parallel 4— passed.ctest --test-dir <review-build> --output-on-failureandctest --test-dir <review-build> -V— passed, 4/4 suites and 75 checks (inspection 22, asset hashing 15, authoring 23, commit 15), with no reported skips.
Full ORT/auto-EP integration tests and Windows-specific behavior were not executed locally; integration changes were reviewed statically. The current PR rollup has 97 successful checks and one neutral CodeQL check.
Edward Chen (edgchen1)
pushed a commit
that referenced
this pull request
Oct 19, 2026
#33120) ### Description Make `onnxruntime_DISABLE_EXCEPTIONS` / `--disable_exceptions` usable without `onnxruntime_MINIMAL_BUILD` / `--minimal_build`, and build a regular (non-minimal) CPU configuration with exceptions disabled in CI. - `onnxruntime_DISABLE_EXCEPTIONS` stays a `cmake_dependent_option` gated on `NOT onnxruntime_ENABLE_PYTHON`, but its default is now the value of `onnxruntime_MINIMAL_BUILD`, so minimal builds that rely on it defaulting to ON are unchanged. - The `FATAL_ERROR` in `adjust_global_compile_flags.cmake` and the matching `build_args.py` check are removed; `test_build_args.py` gains a `--disable_exceptions` case without `--minimal_build`. - WebAssembly keeps the old requirement: `--build_wasm --disable_exceptions` still needs `--minimal_build`, because the Emscripten triplets derive the dependencies' exception setting from the minimal build flag rather than from `--disable_exceptions`. - `-fno-unwind-tables -fno-asynchronous-unwind-tables` are now only added for minimal builds. Those flags are a binary-size optimization for mobile; a regular build with exceptions disabled keeps its unwind tables so crash reporters and profilers can still walk its stacks. - The vcpkg triplet generators in `vcpkg_helpers.py` no longer skip no-exception, non-minimal combinations (a `--use_vcpkg --disable_exceptions` regular build had no triplet to use), and apply the same unwind-table rule to dependencies; `test_vcpkg_helpers.py` covers both. ONNX's own `ONNX_DISABLE_EXCEPTIONS` handling adds the unwind-table flags unconditionally, so `cmake/patches/onnx/onnx.patch` and its vcpkg copy `binskim.patch` now add them only with `ONNX_MINIMAL_BUILD`. - model_package maps `std::system_error` to `MODEL_PACKAGE_ERR_IO` with function-try-blocks (added in #32790). They now use `MODEL_PACKAGE_TRY` / `MODEL_PACKAGE_CATCH`, which expand to nothing when exceptions are disabled, and the remaining throwing `std::filesystem` calls use their `error_code` overloads so filesystem errors still come back as a status. On Windows, path encoding conversions (`fs::u8path` on a non-UTF-8 argument, `generic_string()` on a name the code page cannot represent) still throw and have no `error_code` overload, so in that configuration they abort like other exceptions. A failed directory iteration while opening, hashing or copying is now reported as `MODEL_PACKAGE_ERR_IO` instead of silently ending the walk (a failed `increment(ec)` resets the iterator to end), so an unreadable `shared_assets` directory is an error rather than ignored. Non-minimal builds link model_package, so it has to build without exceptions for this configuration. - `DumpTensorToFile` (built with `onnxruntime_DEBUG_NODE_INPUTS_OUTPUTS`) now uses `ORT_TRY` / `ORT_CATCH` / `ORT_RETHROW` instead of a raw `try`/`catch`, so that option also builds with exceptions disabled. - With exceptions disabled, errors ONNX and ORT would otherwise throw (for example a shape-inference failure on an invalid model) abort the process, as `ORT_THROW` already does in minimal builds. - `linux_ci.yml` gains `build-linux-x64-no-exceptions`, a MinSizeRel regular build with `--disable_exceptions`. Unit tests are not built in that configuration: 22 test sources in `onnxruntime_test_all`, `onnxruntime_provider_test` and `onnxruntime_mlas_test` use `try`/`catch` or `gsl::narrow` unguarded. ### Motivation and Context Firefox ships a regular CPU build of ONNX Runtime with exceptions disabled and has been carrying this change as a local patch. The remaining exception-dependent code in the core non-minimal build was converted in #32591, #32597 and #32883. ONNX 1.23.2 (#33134) brought in onnx/onnx#8220, which removed the last raw `throw` in ONNX's `onnx/common/tensor.h`. With this PR, current main builds locally with GCC 15 (MinSizeRel, CPU EP) with `--disable_exceptions`, both without vcpkg as static libraries and with the flags the new job's build action adds (`--use_vcpkg --build_shared_lib`).
1 task done
This was referenced Nov 13, 2026
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 that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore <dependency name> major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore <dependency name> minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore <dependency name>` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore <dependency name>` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore <dependency name> <ignore condition>` will remove the ignore condition of the specified dependency and ignore conditions </details> 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> 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 that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore <dependency name> major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore <dependency name> minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore <dependency name>` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore <dependency name>` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore <dependency name> <ignore condition>` will remove the ignore condition of the specified dependency and ignore conditions </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
This was referenced Nov 14, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
Harden model-package EP recreation, path handling, and public output contracts.
ModelPackage_Validateauthoring API and its dedicated report surface.OrtModelPackageApinow present onmain.Validation:
lintrunneron changed model-package C/C++ files — passed.model_packageRelease build withMODEL_PACKAGE_BUILD_TESTS=ON— passed.ctest --test-dir <standalone-build> -C Release --output-on-failure— 4/4 suites passed.cmake --build build\WindowsVS18\RelWithDebInfo --config RelWithDebInfo --target onnxruntime_autoep_test --parallel 4— passed.onnxruntime_autoep_test.exe --gtest_filter="ModelPackageApiTest.*:ModelPackageTest.*"— 27/27 tests passed.Motivation and Context
Model-package variant selection and session creation must preserve the selected EP configuration and expose predictable public C API behavior. The standalone validation API had no runtime, GenAI, repository-production, or indexed external consumers and had not shipped in a release, so it is removed before becoming a compatibility burden.