[Bugfix][DeepSeek V4] Fix fused MTP RMSNorm dtype mismatch - #50987
[Bugfix][DeepSeek V4] Fix fused MTP RMSNorm dtype mismatch#50987dongjibin1996 wants to merge 1 commit into
Conversation
Cast both fused MTP RMSNorm input branches to FP32 before control-flow merging and add a kernel correctness test. Assisted-by: OpenAI GPT-5.6 Signed-off-by: dongjibin <dongjibin@kunlunxin.com>
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Could a maintainer please add the |
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After re-evaluating this change against |
Summary
Why
The two runtime branches previously assigned different inferred types to
x: the maskedtl.wherepath promoted it to FP32 while the hnorm path kept the input dtype. Triton requires local variables to have a consistent type when control-flow branches merge, so mixed-precision inputs could fail kernel compilation with a branch dtype mismatch.Explicitly converting both loads to FP32 matches
_rmsnorm_row, which already performs RMSNorm arithmetic in FP32. Results are still converted to the output pointer dtype at store time, so the output dtype and numerical behavior are preserved.Duplicate-work check
I searched open vLLM PRs for
fused_mtp_input_rmsnorm,MTP RMSNorm, and the dtype mismatch. PR #45240 introduced the shared fused kernel but does not contain this dtype fix or a standalone correctness test. I found no open PR addressing this issue.Testing
tests/kernels/test_fused_mtp_input_rmsnorm.pyto compare both fused outputs against a PyTorch RMSNorm referencepython -m py_compile vllm/models/deepseek_v4/common/ops/fused_mtp_input_rmsnorm.py tests/kernels/test_fused_mtp_input_rmsnorm.pygit diff --checkAI assistance
AI assistance was used to investigate the Triton type mismatch, prepare the patch, and draft the test and PR description. I reviewed the changed lines and test coverage.