Update export lightx2v

[gushiqiao]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @gushiqiao, 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 enhances the model export process by ensuring that lightx2v quantized models have their configuration files accurately updated upon saving. It introduces a dedicated utility for this purpose and integrates it into the existing model deployment workflow, improving the correctness and consistency of exported model metadata.

Highlights

• New Configuration Update Utility: I've introduced a new utility function, update_lightx2v_quant_config, specifically designed to modify the configuration file of lightx2v quantized models. This function ensures that the quant_method field in the config.json is correctly set to advanced_ptq after the model is saved.
• Integration into Main Workflow: The newly created update_lightx2v_quant_config function has been integrated into the main model saving logic within llmc/__main__.py. Now, whenever a lightx2v quantized model is saved, its configuration file will be automatically updated to reflect the correct quantization method.

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[gemini-code-assist]

Code Review

This pull request adds support for exporting to the lightx2v format by introducing a new utility function to update the quantization configuration and integrating it into the main script. A suggestion has been made to use os.path.join for path construction to improve robustness and cross-platform compatibility.

[gemini-code-assist]

Consider using os.path.join for constructing the file path. This is more robust and cross-platform compatible.¹

config_file = os.path.join(save_quant_path, 'config.json')

Style Guide References

Footnotes

1. Using os.path.join ensures that the path is constructed correctly regardless of the operating system. (link) ↩