Change deprecated name to has_offloaded_params

[kylesayrs]

The is_module_offloaded util is now deprecated and has been implemented under the name has_offloaded_params. has_offloaded_params is the name adopted by accelerate.

https://github.com/neuralmagic/compressed-tensors/blob/main/src/compressed_tensors/utils/offload.py#L118-L120

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[gemini-code-assist]

Summary of Changes

Hello @kylesayrs, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request modernizes the codebase by updating a deprecated utility function name. The change ensures compatibility with the accelerate library's adopted naming convention for checking offloaded parameters, improving maintainability and future-proofing the relevant code paths.

Highlights

• Dependency Update: Updated the import statement for a utility function, changing is_module_offloaded to has_offloaded_params to align with the latest naming conventions adopted by the accelerate library.
• Code Modernization: Replaced all instances of the deprecated is_module_offloaded function call with has_offloaded_params within the patch_tied_tensors_bug function, ensuring the codebase uses the current and supported utility.

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[gemini-code-assist]

Code Review

This pull request updates the codebase to use has_offloaded_params instead of the deprecated is_module_offloaded utility. The import statement and function call have been updated accordingly. It would be good to remove the deprecated import.