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Docs: Add WOA documentation (#2264)
### What does this PR do? Add WoA env setup guide. Includes build instruction of pyarrow, which used by datatsets ### Usage N/A ### Testing N/A ### Before your PR is "*Ready for review*" - Is this change backward compatible?: N/A - If you copied code from any other sources or added a new PIP dependency, did you follow guidance in `CONTRIBUTING.md`: N/A - Did you write any new necessary tests?: N/A - Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?: N/A - Did you get Claude approval on this PR?: N/A <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Documentation** - Added comprehensive Windows on Arm installation guidance, including prerequisites, environment setup, dependency installation, verification, and troubleshooting. - Documented experimental Windows ARM64 support, supported quantization formats, native dependency requirements, and Support Matrix details. - Expanded supported Windows Python versions through 3.13. - Expanded TensorRT-RTX guidance for calibration, deployment, provider setup, and standalone plugin usage. - Clarified PyArrow requirements and local build instructions for Windows ARM64. - Added links to dedicated Windows on Arm installation resources and shared TensorRT-RTX documentation. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: Haoxi Zhang <haoxiz@nvidia.com>
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@@ -41,6 +41,12 @@ Model Optimizer is available for free for all developers on [NVIDIA PyPI](https:
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ModelOpt-Windows can be installed either as a standalone toolkit or through Microsoft's Olive.
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### Windows on Arm
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WoA Installation Guide is here
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[Windows on Arm installation guide](https://nvidia.github.io/Model-Optimizer/getting_started/windows/_installation_windows_arm64.html),
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WoA support the same feature as Windows x64, please refer the [Support Matrix](https://nvidia.github.io/Model-Optimizer/guides/0_support_matrix.html#support-matrix)
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### Standalone Toolkit Installation (with CUDA 12.x)
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To install ModelOpt-Windows as a standalone toolkit on CUDA 12.x systems, run the following commands:
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