[Fix] Add guardrails and prefill workspace limits for FlashMLA (#50660) - #50668
[Fix] Add guardrails and prefill workspace limits for FlashMLA (#50660)#50668Aswinesag wants to merge 0 commit into
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Hi team! As a first-time contributor, the |
…ap long lines - mla_attention.py: add get_current_vllm_config_or_none, cp_lse_ag_out_rs, dcp_a2a_lse_reduce imports for _dcp_merge_and_v_up_proj (vllm-project#48196); drop unused finalize_mla_pcp_decode import - test_mtp.py: add missing torch import for prefix-cache test (vllm-project#50897) - cli_args.py: wrap >88-col lines (vllm-project#50668) - flashmla_sparse.py: wrap long comment (vllm-project#49357) - flashinfer_mla_sparse.py: drop unused np_to_pinned_tensor import (vllm-project#48196) - kv_cache_coordinator.py: fix factory-function param indentation (vllm-project#50897) Co-authored-by: Sisyphus <sisyphus@openci.dev>
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Description
Fixes CUDA runtime assertion errors in FlashMLA sparse prefill kernel (
phase1.cuh) when serving DeepSeek models with large context lengths, FP8 KV cache, and speculative decoding.Changes Included
Entrypoints Validation (
vllm/entrypoints/openai/cli_args.py):validate_parsed_serve_args()to reject invalid--kv-cache-dtype fp8+--block-size > 128arguments before execution.Backend Guardrails (
vllm/v1/attention/backends/mla/flashmla_sparse.py):MAX_PREFILL_CHUNK_TOKENS = 131072) insideget_prefill_workspace_size()andsplit_prefill_chunks().Fixes #50660