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### Description When using attention bias input for GQA op with FP16, on the platforms that don't natively support FP16 math a cast to fp32 needs to be performed, and thus a temporary buffer needs to be created to store the fp32 values. The issue is that this temporary buffer was being allocated / deallocated inside of a loop for every token being processed. Refactored the implementation so that the allocation takes place only once. Phi model throughput increased by 15%.
### Description This change fixes correctness issues in two areas that were causing failures in onnxruntime_test_all: - DynamicQuantizeMatMul.WithConstantBInputs - AttentionTest.Attention3DDefault - AttentionTest.Attention3DWithPastAndPresentQkMatmul What was wrong and how it’s fixed 1) DynamicQuantizeMatMul.WithConstantBInputs - Root cause: The Kleidi dynamic quantization GEMM path could be selected even when the B scales contained values such as (zero, negative, or non-finite). That violates kernel assumptions and can lead to incorrect results. - Fix: In `onnxruntime/contrib_ops/cpu/quantization/dynamic_quantize_matmul.cc`, we now explicitly validate that all B scales are finite and strictly positive before enabling the Kleidi/MLAS dynamic path. If any scale is invalid, we disable that path. 2) Attention tests (Attention3DDefault, Attention3DWithPastAndPresentQkMatmul) - Root causes in `onnxruntime/core/mlas/lib/kleidiai/sgemm_kleidiai.cpp`: - Incorrect handling of GEMM corner cases for alpha/beta and K==0 (e.g., not respecting C = beta*C when alpha==0 or K==0). - Unnecessary or premature fallbacks for small shapes. - Fixes: - Add early-outs for degenerate sizes: if M==0 or N==0, return handled. - Correctly implement alpha/beta semantics: --------- Signed-off-by: Jonathan Clohessy <[email protected]>
This change adds skip test for QMoE CPU tests when running on TensorRT or CUDA EP. In the QMoE kernel there was a memory overwrite bug in the accumulate part, updated that and this fixed the python tests back
…pi_ (microsoft#25741) ### Description Delay the call to `OrtGetApiBase()` until the first call to `Ort::GetApi()` so that `OrtGetApiBase()` is typically called after dynamic library loading. ### Motivation and Context When ORT_API_MANUAL_INIT is not defined (which is the default), the static `Ort::Global<void>::api_` has a dynamic initializer that calls `OrtGetApiBase()->GetApi(ORT_API_VERSION)` This dynamic initialization can cause problems when it interacts with other global/static initialization. On Windows in particular, it can also cause deadlocks when used in a dynamic library if OrtGetApiBase()->GetApi() attempts to load any other libraries. * Replace the templated `Global<void>::api_` with an inline static initialized to nullptr. * `Ort::GetApi()` now calls `detail::Global::GetApi()` which calls `detail::Global::DefaultInit()` if initialization is needed. * When `ORT_API_MANUAL_INIT` is defined, `DefaultInit()` returns nullptr, which will eventually cause the program to crash. The callers have violated the initialization contract by not calling one of the `Ort::InitApi` overloads. * When `ORT_API_MANUAL_INIT` is not defined, `DefaultInit()` uses a function-level static to compute the result of `OrtGetApiBase()->GetApi(ORT_API_VERSION)` once and return it. * `Ort::Global<void>` has been replaced with a non-templated type and moved inside a `detail` namespace. Since the `Global<void>` object was documented as being used internally, it is believed that these changes here are non-breaking, as they do not impact a public API. The public APIs, `Ort::InitApi()` and `Ort::InitApi(const OrtApi*)` remain unchanged. * Add `#pragma detect_mismatch` to surface issues with compilation units that disagree on how ORT_API_MANUAL_INIT is defined. (MSVC only.) --------- Co-authored-by: Copilot <[email protected]>
### Description <!-- Describe your changes. --> 1. A Small change to use the shared allocator in Python binding. 2. Remove the FP64 support from the EP. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> The Python GPU IO binding is necessary for performance. The change will enable the shared allocator for GPU allocation. The FP64 was using the FP32 inference—aligned WRT TRT RTX support. --------- Co-authored-by: Gaurav Garg <[email protected]>
### Description Add a `enable_cann_subgraph` feature parameter. this parameter controls whether graph splitting is performed and can help quickly identify issues in certain scenarios.
…ting Node_GetTensorAttributeAsOrtValue (microsoft#25886) ### Description Replace `Node_GetTensorAttributeAsOrtValue` with `OpAttr_GetTensorAttributeAsOrtValue`. Change the API signature to make it one of the `OpAttr` interfaces instead of the `OrtNode` interface. The original API was added [here](microsoft#25566).
### Description This change builds on top of microsoft#25841 , and adds the scaffolding necessary to call into this API from C++ / C# / Python. ### Motivation and Context microsoft#25454 talks more about the broader notion of precompiled model compatibility. This change is directed at app developers whose apps may want to determine if a particular precompiled model (e.g. on a server somewhere) is compatible with the device where the application is running. There is functionality in `OrtEpFactory` for making this determination, which was exposed as a C API in microsoft#25841, and this change makes the API more broadly available in other languages. ### Testing and Validation Introduced new unit test cases across each language, and verified that the API was being called and returned the correct result for the default CPU EP. --------- Co-authored-by: Aditya Rastogi <[email protected]>
…25883) ### Description - Introduce Level1 Transformer into qnn.preprocess to support various optimizations. ### Motivation and Context - This change brings in several useful optimizations such as `ConvBnFusion` and `ConstantFolding`, which are part of `TransformerLevel::Level1` and can benefit QNNEP. - The goal is to optimize the ONNX model before quantization by integrating these passes into the Python tooling workflow.
…icrosoft#25887) ### Description Minor fix weight name missing when not valid QDQ node group ### Motivation and Context Some quantized model failed QDQ node group validation, the weights then won't be folded as initializer. QNN EP failed to handle the dynamic weights here due to the transpose op input name look up. This change make sure we process the weights tensor before adding transposes.
## Summary Adds EP metadata library path support to enable custom ops DLL registration with proper path resolution. ## Changes - Added `library_path` metadata key to EP metadata infrastructure - Pass resolved library path directly to `EpLibraryProviderBridge` constructor - Simplified implementation per reviewer feedback (removed virtual method complexity) - Added `#include <utility>` for std::move compliance ## Purpose Enables downstream applications (like onnxruntime-genai) to resolve relative custom ops library paths using EP metadata, improving DLL registration reliability. ## Files Modified - `plugin_ep/ep_factory_provider_bridge.h` - `plugin_ep/ep_library.h` - `plugin_ep/ep_library_plugin.h` - `plugin_ep/ep_library_provider_bridge.cc` - `plugin_ep/ep_library_provider_bridge.h` - `utils.cc`
### Description This update introduces multiple improvements, fixes, and feature enhancements to the OpenVINO Execution Provider (OVEP) and related components in ONNX Runtime: #### Configuration & Properties - Updated load_config mapping to act as a passthrough to OpenVINO properties. - Added support for providing layout information to inputs/outputs in OpenVINO. #### Inference & Tensor Handling - Improved OVInferRequest::SetTensor to correctly handle cached binding shape mismatches. - Added support for self-detecting on-the-fly bfloat16 → float16 conversion. - Fixed issues with input ONNX models when used with shared execution contexts. #### Model Handling & Operator Support - Fixed model copying behavior for QDQ stripping. - Updated operator support status for OpenVINO 2025.2. #### Platform & Integration Fixes - Applied multiple PSU Lora fixes and related updates. - Resolved filename confusion issues with wrapped OVIRs in EPCtx. - Enabled memory-mapped native binaries for OpenVINO 2025.3. #### Quality & Maintenance - Addressed linting issues. - Fixed coverage gaps in OVEP. - Added a new test script for OpenVINO with ORT ABI integration. --------- Co-authored-by: Ankit Maheshkar <[email protected]> Co-authored-by: Ryan Metcalfe <[email protected]> Co-authored-by: Klimenko, Mikhail <[email protected]> Co-authored-by: sfatimar <[email protected]> Co-authored-by: Garth Long <[email protected]> Co-authored-by: Copilot <[email protected]> Co-authored-by: MayureshV1 <[email protected]> Co-authored-by: Eric Crawford <[email protected]> Co-authored-by: jatinwadhwa921 <[email protected]> Co-authored-by: Vishnudas Thaniel S <[email protected]> Co-authored-by: Javier Martinez <[email protected]>
### Description Java API for compile model and EP discovery APIs. Roughly equivalent to the C# version in microsoft#24604. cc: @skottmckay. I haven't quite got the CMake configured so the Java tests for the ep registration only run when the ONNX Runtime shared provider support is built, but everything else works. I expect that to be a quick fix, but I'm not sure in what conditions it should be built and how we should handle it so I don't know where/when to plumb it through. ### Motivation and Context API parity for Java.
### Description 1. Check process exit code when running 7z.exe . Currently the errors were silently ignored. 2. Add snld20 flag to the 7z.exe commands, which is needed to be compatible with the latest 7z release.
…icrosoft#25881) ### Description Fix illegal memory access in GetInputIndices with optional inputs ### Motivation and Context When an input is optional, its ValueInfo may be nullptr. The current implementation directly calls InputValueInfo->GetName(), leading to illegal memory access. Update logic to skip optional inputs when valueInfo is nullptr .
### Description <!-- Describe your changes. --> Re-enable cpuinfo for ARM64EC build and fix `CPUIDINFO_ARCH_ARM` so it is actually used. Patch cpuinfo to support vcpkg ARM64EC build. See pytorch/cpuinfo#324. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix for workaround in microsoft#25831.
…#25879) Restore accidentally removed comments when using WGSL template.
### Description The [vfmaq_f32](https://developer.arm.com/architectures/instruction-sets/intrinsics/vfmaq_f32) intrinsic compiles to the [FMLA](https://developer.arm.com/documentation/ddi0596/2021-03/SIMD-FP-Instructions/FMLA--vector---Floating-point-fused-Multiply-Add-to-accumulator--vector--?lang=en) instruction which is more performant than separate `fmul`+`fadd` instructions that [vmlaq_f32](https://developer.arm.com/architectures/instruction-sets/intrinsics/vmlaq_f32) compiles to on latest GCC versions: https://godbolt.org/z/aYc9as5Wh Note that this is not a breaking change, as vmlaq_f32 compiles to FMLA instructions already on the latest clang compilers (which are the default for MacOS ORT builds already) ### Motivation and Context With this change, the NEON version of `MlasMultiplyAddFloat32x4` achieves parity with the x86 version that uses `_mm_fmadd_ps`. It also achieves up to ~15% speedups compared to the current `vmlaq_f32` implementation when tested on top of microsoft#25580
### Description Until QAIRT 2.37.0, `QNN_IR_GRAPH_SERIALIZATION_OPTION_INIT` was unusable due to a missing semicolon. Now that it's been fixed, revert the workaround.
This PR adds a missing sync method and fixes the linux CI
### Description Change from fread to mmap to save on system memory. This also accelerated the load time of a ~4GB model in my testing by 1.5X.
### Description Runtime caches can accelerate the JIT time when deserializing an engine of TRT RTX. Here we introduce a per engine caching in a user specified folder. The cache file will be named after the fused node name - which will also be the node name of an ep context node. @chilo-ms we would like to pick this to 1.23
### Description - Disables graph optimizations by default when using the explicit compiling API. - Adds `ModelCompilationOptions_SetGraphOptimizationLevel` to allow the user to set an optimization level. - Adds C++, Python, and C# bindings for the new API function. - Updates `ModelCompilationOptions_SetFlags` to take in a `uint32_t flags` parameter instead of `size_t flags` to ensure the same size across platforms. This API is not yet in a public ORT release, so safe to modify. ### Motivation and Context When compiling, prefer allowing the EP to do the optimizations instead of ORT.
### Description <!-- Describe your changes. --> Create or augment existing C++ API for new entry points ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Enable exception safe coding in C++ codebase.
### Description onnx/onnx#6318 and onnx/onnx#6283 added FP4 support to ONNX. This change introduces the FP4 type in ORT and adds type support to one relevant operator (`Cast`) as a proof-of-concept for the type integration into ORT. More op support will be added on a need-basis. This change took inspiration from the following PRs: microsoft#14731 microsoft#22228 microsoft#20362 Some notes: 1) Only `tensor` type gets support for FP4 initially. Secondary types like `seq(tensor)`, `sparse_tensor`, `optional` do not get support (so as to not introduce unnecessary bloat to the framework without a solid use-case) 2) Flatbuffer related files receive no updates in this PR ### Motivation and Context Be able to run FP4 models with ORT
…25923)" (microsoft#25939) This reverts commit a3ad1f9.
…icrosoft#25490) POWER : Added a VSX-based implementation of MlasGemmQuantKernel optimized for the case when M = 1. Verified correctness using ONNX Runtime's built-in tests and onnxruntime_mlas_tests;no regressions observed. Evaluated performance using a Granite 8-bit quantized model and observed approximately 3-5% improvement in token generation speed. ### Description when M=1 then performed a multiplication using a VSX vector builtin vec_msum ### Motivation and Context To improve token generation performance for models with a batch size of 1
…5703) ### Description Upgrade dawn. Following up of microsoft#25461. This PR includes: - Fix to bug introduced by google/dawn@062be63. Revert temporary workaround - make corresponding changes to https://dawn-review.googlesource.com/c/dawn/+/251714 (remove DLL preload since it's correctly handled in dawn) - fix Java binding (missing dxc DLLs) Tasks: - [x] verify emscripten build (debug/release) - [ ] verify node.js binding
### Description - Added `VERIFIED_PUBLIC_MODELS` (20 unique models) and `ONNX_ZOO_MODELS` (158 total) - Implemented `IsModelAllowed()` function with O(1) hash lookup - Added comprehensive name mapping for backwards compatibility - Maintained all existing EP provider configurations ### Motivation and Context - Part of ONNX Runtime Phase 1 migration initiative - Addresses security requirements for public CI pipelines - Prepares for ORT 1.23.0 release compliance --------- Co-authored-by: Emmanuel Assumang <[email protected]> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
The "custom nuget pipeline" and QNN Nuget pipeline do not support adding "rc" postfix to the nuget package's version string. This PR fixes that.
### Description Add negative padding value support for QNN EP by lower padding to pad + stride_slice(if negative padding value exists.) ### Motivation and Context ONNX and QNN complier in QAIRT both supports negative padding value by lowering to slice/resize_crop. Adding this change to align EP with QNN and ONNX --------- Signed-off-by: Mu-Chein Hsu <[email protected]>
…rosoft#25922) ### Description ConstantFolding crashes when a constant empty initializer is transposed. ### Motivation and Context This rare case happened when converting a LLM into onnx with static shape.
…soft#25943) ### Description <!-- Describe your changes. --> Some compilers we use in our pipeline do not support string::data() nonconst
…rosoft#25455) ### Description - Adds `ModelCompilationOptions_SetOutputModelWriteFunc` to the compile API to allow writing the output model ONNX bytes to a user-provided write function (i.e., for streaming). - Adds `ModelCompilationOptions_SetOutputModelHandleInitializerFunc` to the compile API to allow the user to write individual initializers to some destination. Also allows specifying if an initializer should be embedded within the ONNX model or written to a custom file. - Adds C++, Python, and C# bindings for the new APIs. A follow-up PR adds a write function for EPContext node binary data: microsoft#25471 ### Example `ModelCompilationOptions_SetOutputModelWriteFunc`: https://github.com/microsoft/onnxruntime/blob/c62ed23c328cbbfefd3083c1f7a6ced604772c19/onnxruntime/test/providers/qnn/qnn_ep_context_test.cc#L2075-L2131 `ModelCompilationOptions_SetOutputModelHandleInitializerFunc`: https://github.com/microsoft/onnxruntime/blob/c62ed23c328cbbfefd3083c1f7a6ced604772c19/onnxruntime/test/providers/qnn/qnn_ep_context_test.cc#L2160-L2292 ### Motivation and Context Add output streaming capabilities when saving compiled models.
…ng cudastream by value in createNotification API (microsoft#25937) Fixing the stream parameter in CopyTensors API and passing cudastream by value in createNotification API ### Description <!-- Describe your changes. --> Fixing the stream parameter in CopyTensors API to pass the application passed stream instead of nullptr Passing cudastream by value in createNotification API as passing pointer was leading to dangling reference issues. Can you please make sure that this goes into 1.23? @chilo-ms ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> - Without this code, copy tensors always happens synchronously even when app specifies a different stream to it. - Passing pointer for cudastream in EP API is leading to dangling reference issues, hence switched to passing value.
### Description
Enable 8-bit weights Gemm on ARM64 via MLAS
1. Supports 2 flavors of the 8-bit Gemm kernel - one uses `vdotq` (U8U8)
and the other uses `vusdotq` (U8S8) on platforms where I8MM is
supported.
2. Provides access to these new MLAS Gemm kernels via the `MatmulNBits`
contrib operator
3. Tests:
**MLAS**
3 new sets of tests:
- `SQ8BitQuantA` : Tests the dynamic activation quantization MLAS kernel
(`fp32 -> uint8_t` or `fp32 -> int8_t` on I8MM platforms)
- `SQ8BitPrepack`: Tests the prepacking of the weights for the 8-bit
Gemm kernels
- `SQ8BitGemm`: Tests the 8-bit Gemm kernels
**MatmulNBits contrib tests**
- Enables the 8-bit Gemm tests on ARM64 (previously only enabled on x86)
### Motivation and Context
Enable 8-bit weights Gemm on ARM64 via MLAS
Based on work and contribution by @fajin-corp
Phi-4-mini-instruct perf numbers (before and after this change):
<img width="593" height="179" alt="image"
src="https://github.com/user-attachments/assets/d81b9059-b8db-407c-8c0f-527099f9358c"
/>
---------
Co-authored-by: Jing Fang <[email protected]>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
### Description <!-- Describe your changes. --> The EP will reject the node with unsupported data types. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> The user will face a crash if the model with an unsupported datatype is used.
…icrosoft#25955) ### Description <!-- Describe your changes. --> Use vmlaq_f32 in MlasMultiplyAddFloat32x4 for Android armeabi-v7a. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix Android armeabi-v7a build where vfmaq_f32 is not available. Fix microsoft#25949
Currently our macOS wheels use Metadata-Version 2.1 Currently our Windows and Linux wheels use Metadata-Version 2.4 Because they use different versions of the ["wheel"](https://pypi.org/project/wheel/#history) package that is used for generating the wheel files. When publishing the macOS wheels to Azure DevOps feed, I got the following error: ``` ERROR: Failed to upload onnxruntime-1.23.0.dev20250903002-cp310-cp310-macosx_13_0_universal2.whl. Return code: 1 STDOUT: Uploading distributions to https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi /upload ERROR InvalidDistribution: Invalid distribution metadata: dynamic introduced in metadata version 2.2, not 2.1 ``` This PR makes them consistent.
### Description <!-- Describe your changes. --> OrtMemoryInfo has a name which is pointer. With the recent changes a user can pass an arbitrary name and then deallocate the string as the API does not require it. Make the name a `std::strng` to own it and refactor. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> We will have a dangling pointer especially when it comes to other languages. The way it used to work in the past, is that the string would be compared to an internal constant and that constant would be used then.
…osoft#25968) ### Description Fixes memory leak in `OrtEpFactory::GetSupportedDevices()`. The `OrtKeyValuePairs` instance created by the factory was not released. This memory leak can be reproduced by running the unit test [QnnHTPBackendTests.AutoEp_PreferNpu](https://github.com/microsoft/onnxruntime/blob/4e2699fbf24d96d2a0261b30509864da08b701de/onnxruntime/test/providers/qnn/qnn_basic_test.cc#L1426). ### Motivation and Context Fix memory leak that one encounters when using automatic EP selection (e.g., PREFER_NPU) with QNN EP.
### Description <!-- Describe your changes. --> Update ONNX to v1.19.0 The major updates of ONNX: https://github.com/onnx/onnx/wiki/Logistics-for-ONNX-Release-1.19.0 ### Remaining Issues 1. Additional inputs `nonpad_kv_seqlen` to op.Attentnio since opset24 2. Attention implementation bugs in CPU: `test_attention_4d_with_past_and_present_qk_matmul_bias_3d_mask_causal` and `test_attention_4d_with_past_and_present_qk_matmul_bias_4d_mask_causal` 3. New op `TensorScatter` 4. New op `Swish` 5. `ml_dtypes` replaces `custom_element_types` in ONNX onnx/onnx#7089
…ts buffer (microsoft#25971) ### Description The memory alignment for the pre-packed weights buffer was accidentally changed for 8-bit Gemms on x86 while supporting the ARM64 equivalent 8-bit Gemm kernel in microsoft#25110. This change in alignment could either cause perf penalty or seg-fault depending on the platform while the corresponding aligned data load instruction is executed in the Gemm kernel. This changes fixes it as well as adds back a couple of tests to the MLAS 8-bit Gemm test suite and fixes a minor nit in the test file. ### Motivation and Context Resolve packaging pipeline crash
### Description <!-- Describe your changes. --> Fix Mac Catalyst build options. There were some overriding `--target` and `-mmacosx-version-min` options causing build errors. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix microsoft#25920
### Description Remove CACHE_URL settings from Github Actions. They were used for enabling VCPKG's binary cache, but vcpkg removed this feature later, so the code is useless now.
…nt() always for inputs (microsoft#25988) ### Description <!-- Describe your changes. --> Use the argument passed instead of a constant. ### Motivation and Context This is a bug
) This PR adds: - ORT perf test dynamic option parsing for TRT RTX EP - ORT perf test can now report submit vs inference time for device bindings @chilo-ms can you help merge this ?
Bumps [actions/setup-python](https://github.com/actions/setup-python) from 5 to 6. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/actions/setup-python/releases">actions/setup-python's releases</a>.</em></p> <blockquote> <h2>v6.0.0</h2> <h2>What's Changed</h2> <h3>Breaking Changes</h3> <ul> <li>Upgrade to node 24 by <a href="https://github.com/salmanmkc"><code>@salmanmkc</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1164">actions/setup-python#1164</a></li> </ul> <p>Make sure your runner is on version v2.327.1 or later to ensure compatibility with this release. <a href="https://github.com/actions/runner/releases/tag/v2.327.1">See Release Notes</a></p> <h3>Enhancements:</h3> <ul> <li>Add support for <code>pip-version</code> by <a href="https://github.com/priyagupta108"><code>@priyagupta108</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1129">actions/setup-python#1129</a></li> <li>Enhance reading from .python-version by <a href="https://github.com/krystof-k"><code>@krystof-k</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/787">actions/setup-python#787</a></li> <li>Add version parsing from Pipfile by <a href="https://github.com/aradkdj"><code>@aradkdj</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1067">actions/setup-python#1067</a></li> </ul> <h3>Bug fixes:</h3> <ul> <li>Clarify pythonLocation behaviour for PyPy and GraalPy in environment variables by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1183">actions/setup-python#1183</a></li> <li>Change missing cache directory error to warning by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1182">actions/setup-python#1182</a></li> <li>Add Architecture-Specific PATH Management for Python with --user Flag on Windows by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1122">actions/setup-python#1122</a></li> <li>Include python version in PyPy python-version output by <a href="https://github.com/cdce8p"><code>@cdce8p</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1110">actions/setup-python#1110</a></li> <li>Update docs: clarification on pip authentication with setup-python by <a href="https://github.com/priya-kinthali"><code>@priya-kinthali</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1156">actions/setup-python#1156</a></li> </ul> <h3>Dependency updates:</h3> <ul> <li>Upgrade idna from 2.9 to 3.7 in /<strong>tests</strong>/data by <a href="https://github.com/dependabot"><code>@dependabot</code></a>[bot] in <a href="https://redirect.github.com/actions/setup-python/pull/843">actions/setup-python#843</a></li> <li>Upgrade form-data to fix critical vulnerabilities <a href="https://redirect.github.com/actions/setup-python/issues/182">#182</a> & <a href="https://redirect.github.com/actions/setup-python/issues/183">#183</a> by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1163">actions/setup-python#1163</a></li> <li>Upgrade setuptools to 78.1.1 to fix path traversal vulnerability in PackageIndex.download by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1165">actions/setup-python#1165</a></li> <li>Upgrade actions/checkout from 4 to 5 by <a href="https://github.com/dependabot"><code>@dependabot</code></a>[bot] in <a href="https://redirect.github.com/actions/setup-python/pull/1181">actions/setup-python#1181</a></li> <li>Upgrade <code>@actions/tool-cache</code> from 2.0.1 to 2.0.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a>[bot] in <a href="https://redirect.github.com/actions/setup-python/pull/1095">actions/setup-python#1095</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/krystof-k"><code>@krystof-k</code></a> made their first contribution in <a href="https://redirect.github.com/actions/setup-python/pull/787">actions/setup-python#787</a></li> <li><a href="https://github.com/cdce8p"><code>@cdce8p</code></a> made their first contribution in <a href="https://redirect.github.com/actions/setup-python/pull/1110">actions/setup-python#1110</a></li> <li><a href="https://github.com/aradkdj"><code>@aradkdj</code></a> made their first contribution in <a href="https://redirect.github.com/actions/setup-python/pull/1067">actions/setup-python#1067</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/actions/setup-python/compare/v5...v6.0.0">https://github.com/actions/setup-python/compare/v5...v6.0.0</a></p> <h2>v5.6.0</h2> <h2>What's Changed</h2> <ul> <li>Workflow updates related to Ubuntu 20.04 by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1065">actions/setup-python#1065</a></li> <li>Fix for Candidate Not Iterable Error by <a href="https://github.com/aparnajyothi-y"><code>@aparnajyothi-y</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1082">actions/setup-python#1082</a></li> <li>Upgrade semver and <code>@types/semver</code> by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1091">actions/setup-python#1091</a></li> <li>Upgrade prettier from 2.8.8 to 3.5.3 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1046">actions/setup-python#1046</a></li> <li>Upgrade ts-jest from 29.1.2 to 29.3.2 by <a href="https://github.com/dependabot"><code>@dependabot</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1081">actions/setup-python#1081</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/actions/setup-python/compare/v5...v5.6.0">https://github.com/actions/setup-python/compare/v5...v5.6.0</a></p> <h2>v5.5.0</h2> <h2>What's Changed</h2> <h3>Enhancements:</h3> <ul> <li>Support free threaded Python versions like '3.13t' by <a href="https://github.com/colesbury"><code>@colesbury</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/973">actions/setup-python#973</a></li> <li>Enhance Workflows: Include ubuntu-arm runners, Add e2e Testing for free threaded and Upgrade <code>@action/cache</code> from 4.0.0 to 4.0.3 by <a href="https://github.com/priya-kinthali"><code>@priya-kinthali</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1056">actions/setup-python#1056</a></li> <li>Add support for .tool-versions file in setup-python by <a href="https://github.com/mahabaleshwars"><code>@mahabaleshwars</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1043">actions/setup-python#1043</a></li> </ul> <h3>Bug fixes:</h3> <ul> <li>Fix architecture for pypy on Linux ARM64 by <a href="https://github.com/mayeut"><code>@mayeut</code></a> in <a href="https://redirect.github.com/actions/setup-python/pull/1011">actions/setup-python#1011</a> This update maps arm64 to aarch64 for Linux ARM64 PyPy installations.</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/actions/setup-python/commit/e797f83bcb11b83ae66e0230d6156d7c80228e7c"><code>e797f83</code></a> Upgrade to node 24 (<a href="https://redirect.github.com/actions/setup-python/issues/1164">#1164</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/3d1e2d2ca0a067f27da6fec484fce7f5256def85"><code>3d1e2d2</code></a> Revert "Enhance cache-dependency-path handling to support files outside the w...</li> <li><a href="https://github.com/actions/setup-python/commit/65b071217a8539818fdb8b54561bcbae40380a54"><code>65b0712</code></a> Clarify pythonLocation behavior for PyPy and GraalPy in environment variables...</li> <li><a href="https://github.com/actions/setup-python/commit/5b668cf7652160527499ee14ceaff4be9306cb88"><code>5b668cf</code></a> Bump actions/checkout from 4 to 5 (<a href="https://redirect.github.com/actions/setup-python/issues/1181">#1181</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/f62a0e252fe7114e86949abfa6e1e89f85bb38c2"><code>f62a0e2</code></a> Change missing cache directory error to warning (<a href="https://redirect.github.com/actions/setup-python/issues/1182">#1182</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/9322b3ca74000aeb2c01eb777b646334015ddd72"><code>9322b3c</code></a> Upgrade setuptools to 78.1.1 to fix path traversal vulnerability in PackageIn...</li> <li><a href="https://github.com/actions/setup-python/commit/fbeb884f69f0ac1c0257302f62aa524c2824b649"><code>fbeb884</code></a> Bump form-data to fix critical vulnerabilities <a href="https://redirect.github.com/actions/setup-python/issues/182">#182</a> & <a href="https://redirect.github.com/actions/setup-python/issues/183">#183</a> (<a href="https://redirect.github.com/actions/setup-python/issues/1163">#1163</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/03bb6152f4f691b9d64579a1bd791904a083c452"><code>03bb615</code></a> Bump idna from 2.9 to 3.7 in /<strong>tests</strong>/data (<a href="https://redirect.github.com/actions/setup-python/issues/843">#843</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/36da51d563b70a972897150555bb025096d65565"><code>36da51d</code></a> Add version parsing from Pipfile (<a href="https://redirect.github.com/actions/setup-python/issues/1067">#1067</a>)</li> <li><a href="https://github.com/actions/setup-python/commit/3c6f142cc0036d53007e92fa1e327564a4cfb7aa"><code>3c6f142</code></a> update documentation (<a href="https://redirect.github.com/actions/setup-python/issues/1156">#1156</a>)</li> <li>Additional commits viewable in <a href="https://github.com/actions/setup-python/compare/v5...v6">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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Bumps [ruff](https://github.com/astral-sh/ruff) from 0.12.9 to 0.12.12. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/astral-sh/ruff/releases">ruff's releases</a>.</em></p> <blockquote> <h2>0.12.12</h2> <h2>Release Notes</h2> <h3>Preview features</h3> <ul> <li>Show fixes by default (<a href="https://redirect.github.com/astral-sh/ruff/pull/19919">#19919</a>)</li> <li>[<code>airflow</code>] Convert <code>DatasetOrTimeSchedule(datasets=...)</code> to <code>AssetOrTimeSchedule(assets=...)</code> (<code>AIR311</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20202">#20202</a>)</li> <li>[<code>airflow</code>] Improve the <code>AIR002</code> error message (<a href="https://redirect.github.com/astral-sh/ruff/pull/20173">#20173</a>)</li> <li>[<code>airflow</code>] Move <code>airflow.operators.postgres_operator.Mapping</code> from <code>AIR302</code> to <code>AIR301</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20172">#20172</a>)</li> <li>[<code>flake8-async</code>] Implement <code>blocking-input</code> rule (<code>ASYNC250</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20122">#20122</a>)</li> <li>[<code>flake8-use-pathlib</code>] Make <code>PTH119</code> and <code>PTH120</code> fixes unsafe because they can change behavior (<a href="https://redirect.github.com/astral-sh/ruff/pull/20118">#20118</a>)</li> <li>[<code>pylint</code>] Add U+061C to <code>PLE2502</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20106">#20106</a>)</li> <li>[<code>ruff</code>] Fix false negative for empty f-strings in <code>deque</code> calls (<code>RUF037</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20109">#20109</a>)</li> </ul> <h3>Bug fixes</h3> <ul> <li>Less confidently mark f-strings as empty when inferring truthiness (<a href="https://redirect.github.com/astral-sh/ruff/pull/20152">#20152</a>)</li> <li>[<code>fastapi</code>] Fix false positive for paths with spaces around parameters (<code>FAST003</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20077">#20077</a>)</li> <li>[<code>flake8-comprehensions</code>] Skip <code>C417</code> when lambda contains <code>yield</code>/<code>yield from</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20201">#20201</a>)</li> <li>[<code>perflint</code>] Handle tuples in dictionary comprehensions (<code>PERF403</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/19934">#19934</a>)</li> </ul> <h3>Rule changes</h3> <ul> <li>[<code>pycodestyle</code>] Preserve return type annotation for <code>ParamSpec</code> (<code>E731</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20108">#20108</a>)</li> </ul> <h3>Documentation</h3> <ul> <li>Add fix safety sections to docs (<a href="https://redirect.github.com/astral-sh/ruff/pull/17490">#17490</a>,<a href="https://redirect.github.com/astral-sh/ruff/pull/17499">#17499</a>)</li> </ul> <h2>Contributors</h2> <ul> <li><a href="https://github.com/11happy"><code>@11happy</code></a></li> <li><a href="https://github.com/AlexWaygood"><code>@AlexWaygood</code></a></li> <li><a href="https://github.com/BurntSushi"><code>@BurntSushi</code></a></li> <li><a href="https://github.com/Gankra"><code>@Gankra</code></a></li> <li><a href="https://github.com/JelleZijlstra"><code>@JelleZijlstra</code></a></li> <li><a href="https://github.com/Kalmaegi"><code>@Kalmaegi</code></a></li> <li><a href="https://github.com/Lee-W"><code>@Lee-W</code></a></li> <li><a href="https://github.com/MatthewMckee4"><code>@MatthewMckee4</code></a></li> <li><a href="https://github.com/PrettyWood"><code>@PrettyWood</code></a></li> <li><a href="https://github.com/Renkai"><code>@Renkai</code></a></li> <li><a href="https://github.com/ShaharNaveh"><code>@ShaharNaveh</code></a></li> <li><a href="https://github.com/amyreese"><code>@amyreese</code></a></li> <li><a href="https://github.com/carljm"><code>@carljm</code></a></li> <li><a href="https://github.com/charliermarsh"><code>@charliermarsh</code></a></li> <li><a href="https://github.com/chirizxc"><code>@chirizxc</code></a></li> <li><a href="https://github.com/danparizher"><code>@danparizher</code></a></li> <li><a href="https://github.com/dcreager"><code>@dcreager</code></a></li> <li><a href="https://github.com/dhruvmanila"><code>@dhruvmanila</code></a></li> <li><a href="https://github.com/dylwil3"><code>@dylwil3</code></a></li> <li><a href="https://github.com/github-actions"><code>@github-actions</code></a></li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md">ruff's changelog</a>.</em></p> <blockquote> <h2>0.12.12</h2> <h3>Preview features</h3> <ul> <li>Show fixes by default (<a href="https://redirect.github.com/astral-sh/ruff/pull/19919">#19919</a>)</li> <li>[<code>airflow</code>] Convert <code>DatasetOrTimeSchedule(datasets=...)</code> to <code>AssetOrTimeSchedule(assets=...)</code> (<code>AIR311</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20202">#20202</a>)</li> <li>[<code>airflow</code>] Improve the <code>AIR002</code> error message (<a href="https://redirect.github.com/astral-sh/ruff/pull/20173">#20173</a>)</li> <li>[<code>airflow</code>] Move <code>airflow.operators.postgres_operator.Mapping</code> from <code>AIR302</code> to <code>AIR301</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20172">#20172</a>)</li> <li>[<code>flake8-async</code>] Implement <code>blocking-input</code> rule (<code>ASYNC250</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20122">#20122</a>)</li> <li>[<code>flake8-use-pathlib</code>] Make <code>PTH119</code> and <code>PTH120</code> fixes unsafe because they can change behavior (<a href="https://redirect.github.com/astral-sh/ruff/pull/20118">#20118</a>)</li> <li>[<code>pylint</code>] Add U+061C to <code>PLE2502</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20106">#20106</a>)</li> <li>[<code>ruff</code>] Fix false negative for empty f-strings in <code>deque</code> calls (<code>RUF037</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20109">#20109</a>)</li> </ul> <h3>Bug fixes</h3> <ul> <li>Less confidently mark f-strings as empty when inferring truthiness (<a href="https://redirect.github.com/astral-sh/ruff/pull/20152">#20152</a>)</li> <li>[<code>fastapi</code>] Fix false positive for paths with spaces around parameters (<code>FAST003</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20077">#20077</a>)</li> <li>[<code>flake8-comprehensions</code>] Skip <code>C417</code> when lambda contains <code>yield</code>/<code>yield from</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20201">#20201</a>)</li> <li>[<code>perflint</code>] Handle tuples in dictionary comprehensions (<code>PERF403</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/19934">#19934</a>)</li> </ul> <h3>Rule changes</h3> <ul> <li>[<code>pycodestyle</code>] Preserve return type annotation for <code>ParamSpec</code> (<code>E731</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20108">#20108</a>)</li> </ul> <h3>Documentation</h3> <ul> <li>Add fix safety sections to docs (<a href="https://redirect.github.com/astral-sh/ruff/pull/17490">#17490</a>,<a href="https://redirect.github.com/astral-sh/ruff/pull/17499">#17499</a>)</li> </ul> <h2>0.12.11</h2> <h3>Preview features</h3> <ul> <li>[<code>airflow</code>] Extend <code>AIR311</code> and <code>AIR312</code> rules (<a href="https://redirect.github.com/astral-sh/ruff/pull/20082">#20082</a>)</li> <li>[<code>airflow</code>] Replace wrong path <code>airflow.io.storage</code> with <code>airflow.io.store</code> (<code>AIR311</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20081">#20081</a>)</li> <li>[<code>flake8-async</code>] Implement <code>blocking-http-call-httpx-in-async-function</code> (<code>ASYNC212</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20091">#20091</a>)</li> <li>[<code>flake8-logging-format</code>] Add auto-fix for f-string logging calls (<code>G004</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/19303">#19303</a>)</li> <li>[<code>flake8-use-pathlib</code>] Add autofix for <code>PTH211</code> (<a href="https://redirect.github.com/astral-sh/ruff/pull/20009">#20009</a>)</li> <li>[<code>flake8-use-pathlib</code>] Make <code>PTH100</code> fix unsafe because it can change behavior (<a href="https://redirect.github.com/astral-sh/ruff/pull/20100">#20100</a>)</li> </ul> <h3>Bug fixes</h3> <ul> <li>[<code>pyflakes</code>, <code>pylint</code>] Fix false positives caused by <code>__class__</code> cell handling (<code>F841</code>, <code>PLE0117</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20048">#20048</a>)</li> <li>[<code>pyflakes</code>] Fix <code>allowed-unused-imports</code> matching for top-level modules (<code>F401</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20115">#20115</a>)</li> <li>[<code>ruff</code>] Fix false positive for t-strings in <code>default-factory-kwarg</code> (<code>RUF026</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20032">#20032</a>)</li> <li>[<code>ruff</code>] Preserve relative whitespace in multi-line expressions (<code>RUF033</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/19647">#19647</a>)</li> </ul> <h3>Rule changes</h3> <ul> <li>[<code>ruff</code>] Handle empty t-strings in <code>unnecessary-empty-iterable-within-deque-call</code> (<code>RUF037</code>) (<a href="https://redirect.github.com/astral-sh/ruff/pull/20045">#20045</a>)</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/astral-sh/ruff/commit/c6516e9b60e7b8d3d60b1e3a0fb0db04b533de54"><code>c6516e9</code></a> Bump 0.12.12 (<a href="https://redirect.github.com/astral-sh/ruff/issues/20242">#20242</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/1aaa0847abdebfe910513b1c883977a996da2db5"><code>1aaa084</code></a> [ty] More tests for TypedDict (<a href="https://redirect.github.com/astral-sh/ruff/issues/20205">#20205</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/b49aa3507472a92b492de0fc924eff2c4bad4248"><code>b49aa35</code></a> Split LICENSE addendum by derivation type (<a href="https://redirect.github.com/astral-sh/ruff/issues/20222">#20222</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/1e34f3f20a71a4375ba64faad43f21171e3829cd"><code>1e34f3f</code></a> [ty] Fix small test typo (<a href="https://redirect.github.com/astral-sh/ruff/issues/20220">#20220</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/77b2cee2233620636e03f547337ff805415c7465"><code>77b2cee</code></a> [ty] Add functions for revealing assignability/subtyping constraints (<a href="https://redirect.github.com/astral-sh/ruff/issues/20217">#20217</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/200349c6e84d04a8e0d986488f7991b17b747964"><code>200349c</code></a> [<code>flake8-comprehensions</code>] Skip <code>C417</code> when lambda contains <code>yield</code>/`yield fro...</li> <li><a href="https://github.com/astral-sh/ruff/commit/0d4f7dde9967704767d8515aadcf8c94353dde35"><code>0d4f7dd</code></a> [ty] Treat <code>__new__</code> as a static method (<a href="https://redirect.github.com/astral-sh/ruff/issues/20212">#20212</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/cb1ba0d4c26dd649bfab9de7ae0e84c0e28e910c"><code>cb1ba0d</code></a> Expose <code>Indentation</code> in <code>ruff_python_codegen</code> (<a href="https://redirect.github.com/astral-sh/ruff/issues/20216">#20216</a>)</li> <li><a href="https://github.com/astral-sh/ruff/commit/cda376afe079b54b6779704bdd740c9e81423e39"><code>cda376a</code></a> [ty]eliminate definitely-impossible types from union in equality narrowing (#...</li> <li><a href="https://github.com/astral-sh/ruff/commit/b14fc961413c5ca032fdfdff29fcc6be4f9c8a75"><code>b14fc96</code></a> Update Rust crate tracing-subscriber to v0.3.20 (<a href="https://redirect.github.com/astral-sh/ruff/issues/20162">#20162</a>)</li> <li>Additional commits viewable in <a href="https://github.com/astral-sh/ruff/compare/0.12.9...0.12.12">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. 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You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
### Description Fixing the build break issue for NV TRT RTX EP
As a temporary solution for the actions/runner-images#12934 issue. Azure DevOps pipelines and Gtihub Actions are updating cmake to version 4.* starting from September 8th . However, our macOS build's coreml EP has a dependency that still depends on cmake 3.x. This PR provides a hotfix to the issue. This PR does not address the concern for ADO pipelines, which will be solved later.
### Description <!-- Describe your changes. --> Update React Native iOS CI build. - Split iOS package build, unit test, and E2E test into separate jobs. The finer granularity allows for more parallelism and the ability to re-run a specific test job without also rebuilding the package in case of failure due to test flakiness. - Fix issue with Detox not actually running the E2E tests on iOS due to an earlier failure. The issue was resolved by upgrading to version 20.11.4. It's not obvious why this wasn't causing the CI build to fail consistently. - This is the Detox fix: wix/Detox@f72e0f3 - Reduce iOS package build time by not building ORT test code. ORT unit tests are already run on the iOS simulator in another CI build. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> CI pipeline improvements.
…aph::CreateImpl(). (microsoft#26001) ### Description <!-- Describe your changes. --> Check for non-empty `ep_nodes` before resizing `index_to_ep_node` in `EpGraph::CreateImpl()`. In this code: https://github.com/microsoft/onnxruntime/blob/502416772611825f2e80fb14a865ebf72670689d/onnxruntime/core/graph/ep_api_types.cc#L663-L683 If there are no nodes to process, the values of `min_node_index` and `max_node_index` will not be updated and this assertion in `IndexToEpNodeMap::Resize()` will fail. https://github.com/microsoft/onnxruntime/blob/502416772611825f2e80fb14a865ebf72670689d/onnxruntime/core/graph/ep_api_types.cc#L538 ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix debug assertion failure in [`If.ConditionalBranchesOnlyContainConstantNodes_ThenBranchExecution`](https://github.com/microsoft/onnxruntime/blob/502416772611825f2e80fb14a865ebf72670689d/onnxruntime/test/providers/cpu/controlflow/if_test.cc#L406-L411) when running unit test with a plugin EP (see microsoft#25689).
ankitm3k
approved these changes
Sep 10, 2025
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Backmerging with Msft commits