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## What does this PR do? **Type of change:** Bug fix **Overview:** This PR fixes an input type mismatch in Resize layers when being converted to FP16. ## Usage ```python $ python -m modelopt.onnx.autocast --onnx_path=$MODEL_NAME.onnx ``` ## Testing Added unittest. ## Before your PR is "*Ready for review*" <!-- If you haven't finished some of the above items you can still open `Draft` PR. --> - **Make sure you read and follow [Contributor guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)** and your commits are signed. - **Is this change backward compatible?**: Yes - **Did you write any new necessary tests?**: Yes - **Did you add or update any necessary documentation?**: No - **Did you update [Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**: No ## Additional Information This issue is also fixed by using the standalone type inference logic from https://github.com/NVIDIA/Model-Optimizer/pull/719. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit ## Release Notes * **Improvements** * Enhanced the graph sanitization process to automatically duplicate shared constants during optimization, ensuring improved model handling and consistency. * **Tests** * Added test coverage for mixed precision conversion of Conv-Resize model architectures. <sub>✏️ Tip: You can customize this high-level summary in your review settings.</sub> <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: gcunhase <4861122+gcunhase@users.noreply.github.com>