ONNX Runtime v1.17.1

This patch release includes the following updates:

General

• Update thread affinity on server so it is only set with auto affinity (#19318) - @ivberg

Build System and Packages

• Fix bug that was breaking arm64 build by disabling __cpuid check on arm64 builds since intrinsic is not available (#19574) - @smk2007

Core

• Add capturestate / rundown ETW support logging for session and provider options (#19397) - @ivberg
• Restrict L2 cache core check on Intel devices (#19483) - @smk2007

Performance

• Optimize KahnsTopologicalSort and PriorityNodeCompare to fix performance degradation in session creation time that was affecting many models (#19475) - @smk2007

EPs

• Enable DirectML on Windows and CUDA on Linux for Node.js binding (#19274) - @jchen351

QNN

• Fix split index bugs uncovered by QNN SDK 2.19 release (#19381) - @adrianlizarraga
• Add job that builds x64 Python wheels for QNN EP so cached QNN models can be created on Windows x64 (#19499) - @adrianlizarraga

OpenVINO

• Fix bugs for API backwards compatibility (#19482) - @preetha-intel

DirectML

• Fix bug in external data packing that was causing crash (#19415) - @PatriceVignola
• Fix bug in allocation planner by disabling streams for DML EP (#19481) - @PatriceVignola

Web

• Fix bug with types export in package.json (#19458) - @fs-eire

Training

• Reduce onnxruntime-training package size so it can be published on PyPI (#19486) - @baijumeswani
• Update default std flag used during torch extensions compilation (#19516) - @baijumeswani
• Add ATen fallback support for bicubic interpolation algorithm (#19380) - @prathikr

Quantization

• Update Q/DQ quantization to ensure Microsoft opset (#19335) - @adrianlizarraga
• Add contrib Q/DQ ops to symbolic shape inference tool (#19340) - @adrianlizarraga
• Fix subgraph quantization regression (#19421) - @fxmarty
• Add DefaultTensorType option to specify the default tensor type to quantize (#19455) - @yufenglee
• Fix bug with command line argparse to process --symmetric [True|False] correctly (#19577) - @satyajandhyala

Whisper Model

• Fix bug in BeamSearch implementation of Whisper model that was causing a crash in some scenarios (#19345) - @petermcaughan
• Fix bug in Whisper model timestamps and temperature (#19509) - @kunal-vaishnavi