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sgl-project--sglang/python/sglang/test/scripted_runtime/context/kv_pool_exhauster.py
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chore: import upstream snapshot with attribution
2026-07-13 12:38:16 +08:00

35 lines
967 B
Python

from __future__ import annotations
from typing import TYPE_CHECKING, List
if TYPE_CHECKING:
import torch
from sglang.srt.managers.scheduler import Scheduler
class ScriptedKvPoolExhauster:
def __init__(self, scheduler: Scheduler) -> None:
self.scheduler = scheduler
self._held: List[torch.Tensor] = []
def exhaust(self, *, leave_pages: int) -> None:
allocator = self.scheduler.token_to_kv_pool_allocator
leave_tokens = leave_pages * self.scheduler.page_size
need = allocator.available_size() - leave_tokens
if need <= 0:
return
held = allocator.alloc(need)
assert (
held is not None
), f"exhaust_kv: allocator could not grab {need} tokens to create pressure"
self._held.append(held)
def release(self) -> None:
for held in self._held:
self.scheduler.token_to_kv_pool_allocator.free(held)
self._held.clear()