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66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
from __future__ import annotations
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from abc import ABC, abstractmethod
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from typing import TYPE_CHECKING, Tuple, Union
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if TYPE_CHECKING:
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from sglang.srt.mem_cache.radix_cache import TreeNode
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class EvictionStrategy(ABC):
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@abstractmethod
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def get_priority(self, node: TreeNode) -> Union[float, Tuple]:
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pass
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class LRUStrategy(EvictionStrategy):
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def get_priority(self, node: TreeNode) -> float:
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return node.last_access_time
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class LFUStrategy(EvictionStrategy):
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def get_priority(self, node: TreeNode) -> Tuple[int, float]:
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return (node.hit_count, node.last_access_time)
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class FIFOStrategy(EvictionStrategy):
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def get_priority(self, node: TreeNode) -> float:
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return node.creation_time
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class MRUStrategy(EvictionStrategy):
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def get_priority(self, node: TreeNode) -> float:
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return -node.last_access_time
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class FILOStrategy(EvictionStrategy):
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def get_priority(self, node: TreeNode) -> float:
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return -node.creation_time
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class PriorityStrategy(EvictionStrategy):
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"""Priority-aware eviction: lower priority values evicted first, then LRU within same priority."""
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def get_priority(self, node: TreeNode) -> Tuple[int, float]:
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# Return (priority, last_access_time) so lower priority nodes are evicted first
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return (node.priority, node.last_access_time)
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class SLRUStrategy(EvictionStrategy):
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def __init__(self, protected_threshold: int = 2):
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self.protected_threshold = protected_threshold
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def get_priority(self, node: TreeNode) -> Tuple[int, float]:
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# Priority Logic:
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# Smaller value = Evicted earlier.
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#
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# Segment 0 (Probationary): hit_count < threshold
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# Segment 1 (Protected): hit_count >= threshold
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#
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# Tuple comparison: (segment, last_access_time)
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# Nodes in segment 0 will always be evicted before segment 1.
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# Inside the same segment, older nodes (smaller time) are evicted first.
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is_protected = 1 if node.hit_count >= self.protected_threshold else 0
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return (is_protected, node.last_access_time)
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