[bugfix] fix 4d attention mask device

[hjh0119]

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[gemini-code-assist]

Summary of Changes

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This pull request resolves a bug where the 4D attention mask was being created on the CPU by default, which could lead to runtime errors when interacting with tensors on a GPU. The fix explicitly assigns the correct device to the newly created attention mask, ensuring seamless operation within a mixed-device environment.

Highlights

• Device Consistency: Ensured that the 4D attention mask is created on the same device as the input attention mask to prevent potential device mismatch errors during tensor operations.

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Changelog

• src/twinkle/processor/base.py
  • Fixed device assignment for the 4D attention mask creation.

Activity

• No specific activity (comments, reviews, progress) has been recorded for this pull request yet.

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Code Review

This pull request correctly fixes a device mismatch issue when creating a 4D attention mask by ensuring the new tensor is created on the same device as the input tensors. The change is logical and addresses the bug. I have added one review comment to improve the robustness of the modified function by handling the edge case of an empty input list, which would currently lead to a runtime error.