[Question] Contiguous Grouped Gemm for CUDA Graph

Hi DeepSeek team,

I noticed that DeepEP provides an optional `num_worst_tokens` argument for CUDA Graph usage. Based on that, I assume contiguous Grouped GEMM is also intended to support CUDA Graph. However, it seems there is no input parameter to supply a valid m for the actual workload. While we can set `m_indices` to -1 for padded tokens, performance degrades significantly because `is_computation_valid` only skips the compute blocks, whereas the TMA loads are still issued for those padded regions.

Did I misunderstand something here, or is there a plan to address this limitation?

Thanks!