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Copy pathllama_cache.py
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209 lines (174 loc) · 7 KB
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from bisect import bisect_left
import sys
from abc import ABC, abstractmethod
from typing import (
Optional,
Sequence,
Tuple,
)
from collections import OrderedDict
import diskcache
import llama_cpp.llama
from .llama_types import *
class BaseLlamaCache(ABC):
"""Base cache class for a llama.cpp model."""
def __init__(self, capacity_bytes: int = (2 << 30)):
self.capacity_bytes = capacity_bytes
@property
@abstractmethod
def cache_size(self) -> int:
raise NotImplementedError
def _find_longest_prefix_key(
self,
key: Tuple[int, ...],
) -> Optional[Tuple[int, ...]]:
pass
@abstractmethod
def __getitem__(self, key: Sequence[int]) -> "llama_cpp.llama.LlamaState":
raise NotImplementedError
@abstractmethod
def __contains__(self, key: Sequence[int]) -> bool:
raise NotImplementedError
@abstractmethod
def __setitem__(
self, key: Sequence[int], value: "llama_cpp.llama.LlamaState"
) -> None:
raise NotImplementedError
class _LlamaCachePrefixIndex:
"""Linear-storage sorted-key index with cache-order tie breaking."""
def __init__(self, cache_state):
self.cache_state = cache_state
self.order = ()
self.keys = []
self.ranks = []
self.clock = 0
def sync(self):
order = tuple(self.cache_state)
if order != self.order:
pairs = sorted((key, rank) for rank, key in enumerate(order) if key)
self.keys = [key for key, rank in pairs]
self.ranks = [rank for key, rank in pairs]
self.order = order
self.clock = len(order)
def find(self, query):
self.sync()
# A lexicographic neighbor attains the maximum shared prefix.
index = bisect_left(self.keys, query)
best = 0
for position in (index - 1, index):
if 0 <= position < len(self.keys):
length = 0
for a, b in zip(self.keys[position], query):
if a != b:
break
length += 1
best = max(best, length)
if not best:
return None
prefix = query[:best]
start = bisect_left(self.keys, prefix)
stop = bisect_left(self.keys, prefix[:-1] + (int(prefix[-1]) + 1,))
# All keys in this interval tie; preserve the original LRU winner.
winner = min(range(start, stop), key=self.ranks.__getitem__)
return self.keys[winner]
def touch(self, key):
position = bisect_left(self.keys, key)
self.ranks[position] = self.clock
self.clock += 1
self.order = tuple(self.cache_state)
class LlamaRAMCache(BaseLlamaCache):
"""Cache for a llama.cpp model using RAM."""
def __init__(self, capacity_bytes: int = (2 << 30)):
super().__init__(capacity_bytes)
self.capacity_bytes = capacity_bytes
self.cache_state: OrderedDict[Tuple[int, ...], "llama_cpp.llama.LlamaState"] = (
OrderedDict()
)
self._prefix_index = _LlamaCachePrefixIndex(self.cache_state)
@property
def cache_size(self):
return sum([state.llama_state_size for state in self.cache_state.values()])
def _find_longest_prefix_key(
self,
key: Tuple[int, ...],
) -> Optional[Tuple[int, ...]]:
if len(self.cache_state) <= 1:
if (
self._prefix_index.order
or self._prefix_index.cache_state is not self.cache_state
):
self._prefix_index = _LlamaCachePrefixIndex(self.cache_state)
for candidate in self.cache_state:
if llama_cpp.llama.Llama.longest_token_prefix(candidate, key):
return candidate
return None
if self._prefix_index.cache_state is not self.cache_state:
self._prefix_index = _LlamaCachePrefixIndex(self.cache_state)
return self._prefix_index.find(key)
def __getitem__(self, key: Sequence[int]) -> "llama_cpp.llama.LlamaState":
key = tuple(key)
_key = self._find_longest_prefix_key(key)
if _key is None:
raise KeyError("Key not found")
value = self.cache_state[_key]
self.cache_state.move_to_end(_key)
if len(self.cache_state) > 1:
self._prefix_index.touch(_key)
return value
def __contains__(self, key: Sequence[int]) -> bool:
return self._find_longest_prefix_key(tuple(key)) is not None
def __setitem__(self, key: Sequence[int], value: "llama_cpp.llama.LlamaState"):
key = tuple(key)
if key in self.cache_state:
del self.cache_state[key]
self.cache_state[key] = value
while self.cache_size > self.capacity_bytes and len(self.cache_state) > 0:
self.cache_state.popitem(last=False)
# Alias for backwards compatibility
LlamaCache = LlamaRAMCache
class LlamaDiskCache(BaseLlamaCache):
"""Cache for a llama.cpp model using disk."""
def __init__(
self, cache_dir: str = ".cache/llama_cache", capacity_bytes: int = (2 << 30)
):
super().__init__(capacity_bytes)
self.cache = diskcache.Cache(cache_dir)
@property
def cache_size(self):
return int(self.cache.volume()) # type: ignore
def _find_longest_prefix_key(
self,
key: Tuple[int, ...],
) -> Optional[Tuple[int, ...]]:
min_len = 0
min_key: Optional[Tuple[int, ...]] = None
for k in self.cache.iterkeys(): # type: ignore
prefix_len = llama_cpp.llama.Llama.longest_token_prefix(k, key)
if prefix_len > min_len:
min_len = prefix_len
min_key = k # type: ignore
return min_key
def __getitem__(self, key: Sequence[int]) -> "llama_cpp.llama.LlamaState":
key = tuple(key)
_key = self._find_longest_prefix_key(key)
if _key is None:
raise KeyError("Key not found")
value: "llama_cpp.llama.LlamaState" = self.cache.pop(_key) # type: ignore
# NOTE: This puts an integer as key in cache, which breaks,
# Llama.longest_token_prefix(k, key) above since k is not a tuple of ints/tokens
# self.cache.push(_key, side="front") # type: ignore
return value
def __contains__(self, key: Sequence[int]) -> bool:
return self._find_longest_prefix_key(tuple(key)) is not None
def __setitem__(self, key: Sequence[int], value: "llama_cpp.llama.LlamaState"):
print("LlamaDiskCache.__setitem__: called", file=sys.stderr)
key = tuple(key)
if key in self.cache:
print("LlamaDiskCache.__setitem__: delete", file=sys.stderr)
del self.cache[key]
self.cache[key] = value
print("LlamaDiskCache.__setitem__: set", file=sys.stderr)
while self.cache_size > self.capacity_bytes and len(self.cache) > 0:
key_to_remove = next(iter(self.cache))
del self.cache[key_to_remove]
print("LlamaDiskCache.__setitem__: trim", file=sys.stderr)