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107 lines
4.5 KiB
Python
107 lines
4.5 KiB
Python
import dataclasses
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import time
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from typing import Iterable, List, Optional, Sequence, Tuple, Type, TypeVar
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from hivemind import get_logger
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from petals.data_structures import ModuleUID, RemoteModuleInfo, RemoteSpanInfo, ServerState
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logger = get_logger(__name__)
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T = TypeVar("T")
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@dataclasses.dataclass
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class RemoteSequenceInfo:
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"""
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A dataclass that stores general information about which servers hold any given layer;
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- updated by RemoteSequenceManager in a background thread
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- accessed by routing strategies in .on_update
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:note: this class should *not* be modified by RoutingStrategy.on_update to avoid interference between strategies;
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Any metadata specific to one routing strategy, it should be stored inside that strategy. Any information that
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is used by most routing strategies should be moved from said strategies to this class.
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"""
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block_uids: Tuple[ModuleUID, ...]
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block_infos: Tuple[RemoteModuleInfo, ...] # note: the contents of RemoteModuleInfo can and will be updated
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spans_by_priority: List[RemoteSpanInfo]
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spans_containing_block: Tuple[List[RemoteSpanInfo], ...]
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last_updated_time: Optional[float]
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@classmethod
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def make_empty(cls: Type[T], block_uids: Iterable[ModuleUID]) -> T:
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block_uids = tuple(block_uids)
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empty_block_infos = tuple(RemoteModuleInfo(uid, {}) for uid in block_uids)
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empty_spans = tuple([] for _ in range(len(block_uids)))
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return cls(block_uids, empty_block_infos, [], empty_spans, last_updated_time=None)
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def __getitem__(self, ix: slice):
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assert isinstance(ix, slice)
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block_uids, block_infos = self.block_uids[ix], self.block_infos[ix]
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spans_by_priority, spans_containing_block = self.compute_spans(block_infos)
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return RemoteSequenceInfo(
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block_uids, block_infos, spans_by_priority, spans_containing_block, self.last_updated_time
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)
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def __len__(self):
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return len(self.block_uids)
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def update_(self, new_block_infos: List[Optional[RemoteModuleInfo]]):
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assert len(new_block_infos) == len(self.block_uids)
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for block_index, (uid, info) in enumerate(zip(self.block_uids, new_block_infos)):
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if info is None:
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logger.debug(f"Found no block info for block {uid}")
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continue
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if not isinstance(info, RemoteModuleInfo):
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logger.warning(f"Unexpected dht entry type for {uid}: {info}")
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continue
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if not info.servers:
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logger.debug(f"Found no active peers for block {uid}")
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continue
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if info.uid != uid:
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logger.warning(f"The DHT entry for {uid} actually points to {info.uid}")
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continue
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self.block_infos[block_index].servers = info.servers
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self.spans_by_priority, self.spans_containing_block = self.compute_spans(self.block_infos)
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self.last_updated_time = time.perf_counter()
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@staticmethod
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def compute_spans(block_infos: Sequence[RemoteModuleInfo]):
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closed_spans = []
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active_spans = {}
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for block_index, info in enumerate(block_infos):
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if info is not None:
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for peer_id, server_info in info.servers.items():
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if server_info.state != ServerState.ONLINE:
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continue
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if peer_id not in active_spans:
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active_spans[peer_id] = RemoteSpanInfo(
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peer_id=peer_id,
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start=block_index,
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end=block_index + 1,
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server_info=server_info,
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)
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else: # peer_id in active_spans
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active_spans[peer_id].end = block_index + 1
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for peer_id in list(active_spans.keys()):
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if (
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info is None
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or peer_id not in info.servers
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or info.servers[peer_id].state != ServerState.ONLINE
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or block_index == len(block_infos) - 1
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):
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closed_spans.append(active_spans.pop(peer_id))
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assert not active_spans, f"spans: {active_spans}"
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closed_spans.sort(key=lambda span: span.length, reverse=True)
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spans_containing_block = tuple(list() for _ in range(len(block_infos)))
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for span in closed_spans:
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for block_index in range(span.start, span.end):
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spans_containing_block[block_index].append(span)
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return closed_spans, spans_containing_block
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