[bugfix] fix contiguous

[hjh0119]

modelscope/ms-swift#8158

[gemini-code-assist]

Summary of Changes

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This pull request resolves a bug in the qwen3_next.py model by explicitly enforcing memory contiguity for a tensor after a transpose operation. This modification is essential for maintaining the correct memory layout, which can prevent errors or performance issues in subsequent tensor manipulations, particularly within distributed or parallel computing environments.

Highlights

• Tensor Memory Layout: Ensured that the res tensor is contiguous after a transpose operation within the _gated_delta_net_forward function. This prevents potential issues with subsequent operations that expect contiguous memory, especially in parallel processing contexts.

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Changelog

• src/twinkle/model/megatron/model/gpts/qwen3_next.py
  • Added .contiguous() call to a transposed tensor to ensure memory contiguity.

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Code Review

This pull request addresses a potential bug by ensuring a tensor is contiguous in memory after a transpose operation. The addition of .contiguous() is a standard practice in PyTorch to prevent runtime errors when subsequent operations, such as certain parallel communication primitives, require a contiguous memory layout. The change is correct and improves the robustness of the code.