[diffusion] fix bug of copy_if

[linfann]

Motivation

@cute.jit
def copy_if(src, dst):
    if cutlass.const_expr(
        isinstance(src, cute.Tensor) and isinstance(src, cute.Tensor)
    ):
        cute.autovec_copy(src, dst)  # LDG.128

the second src should be dst

Modifications

Accuracy Tests

Benchmarking and Profiling

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[gemini-code-assist]

Summary of Changes

Hello, 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 critical typo in the copy_if JIT kernel, ensuring that the type checking logic correctly validates both source and destination tensors. This correction is essential for the proper functioning of tensor operations within the diffusion module, preventing potential runtime issues caused by incorrect type assertions.

Highlights

• Typo Fix: Corrected a logical error in the copy_if JIT kernel within the cutlass.const_expr condition, changing isinstance(src, cute.Tensor) and isinstance(src, cute.Tensor) to isinstance(src, cute.Tensor) and isinstance(dst, cute.Tensor).

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Changelog

• python/sglang/jit_kernel/diffusion/cutedsl/scale_residual_norm_scale_shift.py
  • Corrected a type check condition in the copy_if function to properly validate the destination tensor.

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[gemini-code-assist]

Code Review

This pull request corrects a typo in the copy_if function. The conditional check now correctly validates both the source and destination arguments. The change is confined to this single line fix. I have reviewed the changes and have no further feedback.

[mickqian]

/tag-and-rerun-ci

[yhyang201]

/rerun-failed-ci

[yhyang201]

/rerun-failed-ci

[yhyang201]

/rerun-failed-ci

[mickqian]

diffusion ci all passed, lint passed, bypassing