[kernel] Recompilation optimization triggered by triton function para…#7483
[kernel] Recompilation optimization triggered by triton function para…#7483cvSoldier wants to merge 8 commits intovllm-project:mainfrom
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…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
Summary of ChangesHello, 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 implements an optimization strategy for Triton kernels within the Highlights
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Code Review
This pull request optimizes Triton kernels by changing several tl.constexpr parameters to runtime arguments, which avoids kernel recompilation when these parameters change. The changes are applied across solve_tril.py, split_qkv_rmsnorm_mrope.py, and causal_conv1d.py. While the changes are generally correct and follow the intended optimization, I've found a critical issue in causal_conv1d.py where not all dependent parameters were updated, which will likely lead to a compilation error.
| stride_x_seq, | ||
| stride_x_dim, | ||
| stride_x_token, | ||
| stride_w_dim: tl.constexpr, | ||
| stride_w_width: tl.constexpr, |
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While you've correctly updated many parameters to be runtime values to avoid recompilation, stride_w_dim and stride_w_width were missed. In the causal_conv1d_update_npu wrapper, stride_w_width is set to dim, which is now a runtime argument. Passing a runtime value to a tl.constexpr parameter will cause a compilation error. Both stride_w_dim and stride_w_width should be made runtime arguments for correctness and consistency.
| stride_x_seq, | |
| stride_x_dim, | |
| stride_x_token, | |
| stride_w_dim: tl.constexpr, | |
| stride_w_width: tl.constexpr, | |
| stride_x_seq, | |
| stride_x_dim, | |
| stride_x_token, | |
| stride_w_dim, | |
| stride_w_width, |
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…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization Signed-off-by: cvSoldier <610496306@qq.com>
…meter optimization
What this PR does / why we need it?
Does this PR introduce any user-facing change?
no
How was this patch tested?