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[algo] fix gspo sequence ratio broadcast#596

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hiyouga merged 1 commit intohiyouga:mainfrom
rank-Yu:fix
Jan 5, 2026
Merged

[algo] fix gspo sequence ratio broadcast#596
hiyouga merged 1 commit intohiyouga:mainfrom
rank-Yu:fix

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@rank-Yu rank-Yu commented Jan 5, 2026

fixs #595

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Summary of Changes

Hello @rank-Yu, 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 resolves a specific bug related to tensor broadcasting within the compute_policy_loss function, particularly affecting the calculation of the GSPO sequence ratio. By adjusting the dimensionality of a key tensor, the change ensures that subsequent element-wise operations are performed correctly, leading to accurate loss computation.

Highlights

  • Fix GSPO Sequence Ratio Broadcasting: Addressed a broadcasting issue in the calculation of the GSPO sequence ratio within the compute_policy_loss function.
  • Tensor Shape Correction: Applied a .unsqueeze(-1) operation to negative_approx_kl_in_seq to ensure correct tensor shape for element-wise multiplication with response_mask.

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Code Review

This pull request addresses a critical bug in the 'gspo' loss calculation within compute_policy_loss. The change correctly fixes a tensor broadcasting error by adding .unsqueeze(-1) to negative_approx_kl_in_seq. This ensures the sequence-level importance ratio can be correctly multiplied with the response_mask, preventing a runtime crash. The fix is accurate and essential.

Comment thread verl/trainer/core_algos.py
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LGTM

@hiyouga hiyouga merged commit fd9a5d9 into hiyouga:main Jan 5, 2026
1 check passed
@rank-Yu rank-Yu deleted the fix branch January 29, 2026 06:40
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