Geometric Deep Learning: VTK dataloader, mesh utilities, file format converters

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Modulus Pull Request

This PR introduces the MeshDatapipe class, which integrates NVIDIA DALI to efficiently process vtp, vtu, cgns files within PyTorch pipelines. Key features include support for lazy-loading and normalization of attributes using pre-computed statistics, configurable options for batch size, device selection, and parallel processing for scalable multi-process environments. The update aims to enhance data processing performance by leveraging DALI's GPU capabilities, providing a streamlined solution for handling large mesh datasets in machine learning and simulation applications. Additionally, the PR includes robust error handling, new helper functions for VTK data parsing, and thorough documentation to guide users on setting up and using the pipeline.

Description

Closes https://github.com/NVIDIA/modulus/issues/500

Checklist

• [x] I am familiar with the Contributing Guidelines.
• [x] New or existing tests cover these changes.
• [x] The documentation is up to date with these changes.
• [x] The CHANGELOG.md is up to date with these changes.
• [x] An issue is linked to this pull request.

Dependencies

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