[XPU] [Bugfix] process ragged weights in xpu linear backend - #52118
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jikunshang merged 3 commits intoAug 14, 2026
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Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com>
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Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com>
Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com>
jikunshang
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libinta
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The shared MLA layer (mla_attention.py::forward_impl) reads
num_decodes/num_prefills/num_decode_tokens on every MLA metadata (it asserts
they are not None and uses num_decode_tokens to split MQA vs dense-MHA
tokens). The CUDA sparse backends supply these via
SparseMLACommonMetadataBuilder, but the XPU sparse backend builds its own
metadata and omitted them, so a sparse-MLA (DeepSeek DSA / GLM) run on XPU
crashed with:
'XPUMLASparseMetadata' object has no attribute 'num_decode_tokens'
Add the fields and populate them so all tokens route through the top-k sparse
MQA path (num_decode_tokens == num_actual_tokens, num_prefills == 0), which
this backend already implements for both prefill and decode. This keeps the
shared layer's num_mha_tokens at 0 and never enters the dense-MHA prefill
branch (whose prefill-only fields this backend does not provide).
XPU-only; does not touch CUDA/ROCm/CPU backends. The ragged-N FP8 block-scale
GEMM fix that previously accompanied this change is now covered upstream by
vllm-project#52118, so it is dropped here.
Signed-off-by: Libin Tang <libin.tang@intel.com>
Alessandra005
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…ject#52118) Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com> Signed-off-by: Alessandra005 <aurib032@fiu.edu>
zyp2014
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Aug 21, 2026
…ject#52118) Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com>
wyettzeng
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Aug 21, 2026
…ject#52118) Signed-off-by: Zhu, Zufang <zufang.zhu@intel.com> Signed-off-by: Wyett <wyettzeng@gmail.com>
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python examples/basic/offline_inference/generate.py --model gaunernst/DeepSeek-V2-Lite-Chat-FP8 --enforce-eager --max-model-len 2048 --trust-remote-code
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