fix dpo sp

[tastelikefeet]

PR type

• Bug Fix
• New Feature
• Document Updates
• More Models or Datasets Support

PR information

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[gemini-code-assist]

Summary of Changes

Hello @tastelikefeet, 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 addresses a bug within the Direct Preference Optimization (DPO) trainer. It ensures that the input data is properly preprocessed and prepared for the model's prediction step, which was previously overlooked. This fix prevents potential errors or incorrect behavior during evaluation or inference by guaranteeing that inputs are in the correct format and on the right device before being processed by the underlying model.

Highlights

• DPO Trainer Bug Fix: Ensures that input tensors are correctly prepared (e.g., moved to the appropriate device) before being passed to the parent class's prediction_step method in the DPOTrainer.

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[gemini-code-assist]

Code Review

This pull request aims to fix an issue with DPO and sequence parallelism. The change involves adding a call to _prepare_inputs within the prediction_step of the DPOTrainer. However, this change introduces a redundant call, as _prepare_inputs is already called by the prediction_loop before prediction_step. This can lead to inefficiency and potential issues. I've suggested removing the redundant call and recommended investigating the root cause if the original implementation was indeed buggy.