[GG] fix(moe): serialize hybrid resident-grid launches - #134
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Summary
nvfp4_nf3_hybridMoE execution as unsafe for shared-expertauxiliary-stream overlap
resident-grid implementation is active
Why
#132 adds a per-kernel capability gate before shared
experts are scheduled on an auxiliary CUDA stream. That gate correctly handles
the generic B12X MoE method, paired with local-inference-lab/sparkinfer#47, but the custom
NvFp4Nf3HybridMoEMethoddoes not use the generic B12X launch plan. It thereforeinherits the base fallback, which permits overlap when no generic
moe_kernelis attached.
Both hybrid paths require exclusive resident-grid progress:
Concurrent shared-expert work can occupy an SM needed by a barrier participant,
prevent the grid from making progress, and leave an asynchronous CUDA failure
that surfaces later in an unrelated operation. One observed incident surfaced
as
CUBLAS_STATUS_INTERNAL_ERRORin an MLA BF16 projection; the incident wasnon-reproducible, so this PR is intentionally a draft pending the GPU gates
below.
Scope and dependencies
This is a one-commit dependent follow-up to #132. It is
based directly on
dev/gilded-gnosisso the diff does not duplicate that PR'sgraph-channel, workspace-lane, or generic B12X capability changes. The override
becomes active when #132's scheduler hook is present. It also does not replace
local-inference-lab/sparkinfer#47; it supplies the missing conservative capability decision
for the separate hybrid quantizer.
Validation
Completed locally:
git diff --checkPending target-GPU validation:
StartedAt, andRestartCountFiles changed
vllm/model_executor/layers/quantization/nvfp4_nf3_hybrid.pytests/quantization/test_nvfp4_nf3_hybrid.py