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## What does this PR do? **Type of change:** ? <!-- Use one of the following: Bug fix, new feature, new example, new tests, documentation. --> **Overview:** ? Reorganizes the `modelopt/torch/sparsity` module to prepare for adding attention sparsity support. All existing weight sparsity functionality (source code and tests) is moved into a dedicated `weight_sparsity` subdirectory while maintaining full backward compatibility. ``` # These imports still work exactly as before from modelopt.torch.sparsity import sparsify, magnitude_prune from modelopt.torch.sparsity.mode import SparsityMode ``` ## Usage <!-- You can potentially add a usage example below. --> ```python # Add a code snippet demonstrating how to use this ``` ## Testing <!-- Mention how have you tested your change if applicable. --> ## 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/TensorRT-Model-Optimizer/blob/main/CONTRIBUTING.md)** and your commits are signed. - **Is this change backward compatible?**: Yes/No <!--- If No, explain why. --> - **Did you write any new necessary tests?**: Yes/No - **Did you add or update any necessary documentation?**: Yes/No - **Did you update [Changelog](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CHANGELOG.rst)?**: Yes/No <!--- Only for new features, API changes, critical bug fixes or bw breaking changes. --> ## Additional Information <!-- E.g. related issue. --> Signed-off-by: Kai Xu <kaix@nvidia.com>