onnxruntime

d6123fb9 - [Documentation] Update ONNX Runtime Documentation to Position WinML as Preferred Windows Path and DirectML in Sustained Engineering (#25901)

[Documentation] Update ONNX Runtime Documentation to Position WinML as Preferred Windows Path and DirectML in Sustained Engineering (#25901) This PR addresses issue #25899 by updating the ONNX Runtime documentation to clearly reflect that WinML is the preferred and future-safe execution path for Windows developers, with DirectML now in sustained engineering rather than deprecated. ## Changes Made ### DirectML Execution Provider Page - Updated messaging to use "sustained engineering" terminology, clarifying that DirectML continues to be supported but new feature development has moved to WinML - Maintained clear migration guidance directing users to WinML with links to installation instructions - Preserved existing technical documentation for users who still need DirectML information ### Windows Getting Started Page - Updated the introduction to explicitly state "WinML is the recommended Windows development path for ONNX Runtime" - Enhanced developer guidance explaining WinML's key benefits: - Uses the same ONNX Runtime APIs developers are familiar with - WinML automatically selects the best execution provider based on customer's hardware, with override mechanisms for manual fine-grained control - Simplified deployment by deploying all needed dependencies for AI inference on the client - Added comprehensive Windows version support clarification: - Windows 10 (1809+) & Windows 11 (before 24H2): ONNX Runtime works but requires manual execution provider management - Windows 11 (24H2+): WinML provides additional automation for execution provider selection and hardware optimization - Corrected namespace reference to Microsoft.Windows.AI.MachineLearning.dll ### Install Page - Updated installation instructions to consistently use sustained engineering terminology for DirectML - Enhanced WinML visibility by maintaining "recommended for Windows" designation - Updated both inline installation sections and comprehensive install table with consistent messaging - Added guidance note to Python DirectML section directing new projects to consider WinML ## Impact These changes provide clearer, more accurate guidance for Windows developers on the preferred ONNX Runtime deployment path while maintaining backward compatibility documentation. The updates help developers understand: - DirectML's current sustained engineering status (supported but innovation moved to WinML) - WinML's relationship to ONNX Runtime with clear version requirements and capabilities - The benefits of using WinML over DirectML, including automatic hardware optimization with manual override options - Precise Windows version support breakdown for different deployment scenarios - Where to find additional resources and migration paths The documentation changes preserve all existing content while providing the necessary updated guidance based on Microsoft's current Windows AI strategy. Fixes #25899 <!-- START COPILOT CODING AGENT SUFFIX --> <!-- START COPILOT CODING AGENT TIPS --> --- ✨ Let Copilot coding agent [set things up for you](https://github.com/microsoft/onnxruntime/issues/new?title=✨+Set+up+Copilot+instructions&body=Configure%20instructions%20for%20this%20repository%20as%20documented%20in%20%5BBest%20practices%20for%20Copilot%20coding%20agent%20in%20your%20repository%5D%28https://gh.io/copilot-coding-agent-tips%29%2E%0A%0A%3COnboard%20this%20repo%3E&assignees=copilot) — coding agent works faster and does higher quality work when set up for your repo. --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: MaanavD <24942306+MaanavD@users.noreply.github.com>