fix trtllm mla spec

[b8zhong]

In theory

test/srt/test_deepseek_v3_fp4_4gpu.py should pass

[gemini-code-assist[bot]]

Summary of Changes

Hello @b8zhong, I'm Gemini Code Assist[^1]! 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 a targeted fix within the TensorRT-LLM (TRTLLM) Multi-Layer Attention (MLA) backend by eliminating a specific Triton kernel caching mechanism. The removal of the cached_triton_kernel decorator and its associated import is intended to correct an underlying issue that was causing a DeepSeek v3 FP4 4-GPU test to fail, thereby improving the stability and correctness of the TRTLLM integration.

Highlights

• Triton Kernel Caching Removal: The cached_triton_kernel import and its application as a decorator to two Triton kernels, pad_draft_extend_query_kernel and unpad_draft_extend_output_kernel, have been removed.
• TRTLLM MLA Specification Fix: This change specifically addresses an issue with TensorRT-LLM Multi-Layer Attention (MLA) specifications, aiming to resolve a problem that prevented a DeepSeek v3 FP4 4-GPU test from passing.

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[hnyls2002]

@Qiaolin-Yu @b8zhong Please track the CI status. After the test/srt/test_deepseek_v3_fp4_4gpu.py passes, add a read-to-merge label

[b8zhong]

/tag-and-rerun-ci