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fix(qwen3next): keep big-page state cache pinned across shm serialization #1422

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Merged
hiworldwzj merged 1 commit into from
Aug 4, 2026
Merged

fix(qwen3next): keep big-page state cache pinned across shm serialization #1422

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12 changes: 11 additions & 1 deletion lightllm/common/kv_cache_mem_manager/qwen3next_mem_manager.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,7 +71,17 @@ def _free_linear_att_buffers(self):
def write_to_shm(self, req_manager):
self.req_to_conv_state = req_manager.req_to_conv_state
self.req_to_ssm_state = req_manager.req_to_ssm_state
return super().write_to_shm(req_manager)
# super().write_to_shm() 会用 ForkingPickler 序列化本对象，torch 在 dump 时会把
# CPU tensor 的 storage 原地迁到共享内存，使本进程大页 state cache 原本
# pinned(cudaHostAlloc) 的内存退化为普通 shm mmap，之后 Triton kernel 携带该指针
# 启动会报 "Pointer argument cannot be accessed from Triton (cpu tensor?)"。
# 跨进程消费方并不使用 cpu 侧大页 state cache，序列化期间临时剔除以保住 pinned。
big_page_buffers = self.linear_att_big_page_buffers
self.linear_att_big_page_buffers = None
try:
return super().write_to_shm(req_manager)
finally:
self.linear_att_big_page_buffers = big_page_buffers

def alloc_paged_kv_move_buffer(self, page_num, page_size) -> torch.Tensor:
kv_move_buffer = super().alloc_paged_kv_move_buffer(page_num, page_size)
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