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A high-throughput and memory-efficient inference and serving engine for LLMs

Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git

Synced Nov 5, 16:00 UTC

[KVTransfer] Fix TpKVTopology.is_kv_replicated equality case (#38179)

Signed-off-by: JianDan0212 <zhangyj0212@gmail.com> Co-authored-by: Nicolò Lucchesi <nlucches@redhat.com>

yjz committed Apr 1, 2026 at 18:41 UTC 992368522f69aa2df15a3f9539d138498e52c5bf
1 file changed +3 -1
vllm/distributed/kv_transfer/kv_connector/utils.py
+3 -1
@@ -457,9 +457,11 @@ class TpKVTopology:
457 """
458 Whether the KV cache is replicated across TP workers due to the
459 number of TP workers being greater than the number of KV heads.
460 + When they are equal, each TP rank still owns one distinct KV head,
461 + so this is not considered replication.
462 """
463 tp_size = self.remote_tp_size[engine_id]
462 - return tp_size // self.total_num_kv_heads >= 1
464 + return tp_size > self.total_num_kv_heads
465
466 def replicates_kv_cache(self, remote_engine_id: EngineId) -> bool:
467 # MLA is always replicated as the hidden dim can't be split.