753 lines
28 KiB
Python
753 lines
28 KiB
Python
from __future__ import annotations
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import asyncio
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import concurrent.futures
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import dataclasses
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import logging
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import os
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import queue
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import socket
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import struct
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import threading
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from functools import cache
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from typing import Dict, List, Optional, Tuple, Union
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import numpy as np
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import numpy.typing as npt
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import requests
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import zmq
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from aiohttp import web
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from sglang.srt.disaggregation.base.conn import (
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BaseKVBootstrapServer,
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BaseKVManager,
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BaseKVReceiver,
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BaseKVSender,
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KVArgs,
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KVPoll,
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)
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from sglang.srt.disaggregation.mooncake.transfer_engine import MooncakeTransferEngine
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from sglang.srt.disaggregation.utils import DisaggregationMode
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from sglang.srt.server_args import ServerArgs
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from sglang.srt.utils import get_free_port, get_ip, get_local_ip_by_remote
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logger = logging.getLogger(__name__)
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def group_concurrent_contiguous(
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src_indices: npt.NDArray[np.int64], dst_indices: npt.NDArray[np.int64]
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) -> Tuple[List[npt.NDArray[np.int64]], List[npt.NDArray[np.int64]]]:
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src_groups = []
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dst_groups = []
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current_src = [src_indices[0]]
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current_dst = [dst_indices[0]]
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for i in range(1, len(src_indices)):
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src_contiguous = src_indices[i] == src_indices[i - 1] + 1
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dst_contiguous = dst_indices[i] == dst_indices[i - 1] + 1
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if src_contiguous and dst_contiguous:
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current_src.append(src_indices[i])
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current_dst.append(dst_indices[i])
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else:
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src_groups.append(current_src)
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dst_groups.append(current_dst)
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current_src = [src_indices[i]]
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current_dst = [dst_indices[i]]
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src_groups.append(current_src)
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dst_groups.append(current_dst)
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return src_groups, dst_groups
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@dataclasses.dataclass
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class TransferKVChunk:
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room: int
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prefill_kv_indices: npt.NDArray[np.int64]
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index_slice: slice
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is_last: bool
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prefill_aux_index: Optional[int]
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@dataclasses.dataclass
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class TransferInfo:
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room: int
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endpoint: str
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dst_port: int
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mooncake_session_id: str
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dst_kv_indices: npt.NDArray[np.int64]
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dst_aux_index: int
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@classmethod
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def from_zmq(cls, msg: List[bytes]):
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return cls(
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room=int(msg[0].decode("ascii")),
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endpoint=msg[1].decode("ascii"),
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dst_port=int(msg[2].decode("ascii")),
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mooncake_session_id=msg[3].decode("ascii"),
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dst_kv_indices=np.frombuffer(msg[4], dtype=np.int64),
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dst_aux_index=int(msg[5].decode("ascii")),
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)
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@dataclasses.dataclass
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class KVArgsRegisterInfo:
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room: str
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endpoint: str
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dst_port: int
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mooncake_session_id: str
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dst_kv_ptrs: list[int]
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dst_aux_ptrs: list[int]
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@classmethod
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def from_zmq(cls, msg: List[bytes]):
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return cls(
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room=str(msg[0].decode("ascii")),
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endpoint=msg[1].decode("ascii"),
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dst_port=int(msg[2].decode("ascii")),
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mooncake_session_id=msg[3].decode("ascii"),
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dst_kv_ptrs=list(struct.unpack(f"{len(msg[4])//8}Q", msg[4])),
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dst_aux_ptrs=list(struct.unpack(f"{len(msg[5])//8}Q", msg[5])),
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)
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class MooncakeKVManager(BaseKVManager):
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def __init__(
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self,
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args: KVArgs,
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disaggregation_mode: DisaggregationMode,
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server_args: ServerArgs,
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):
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self.kv_args = args
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self.engine = MooncakeTransferEngine(
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hostname=get_local_ip_by_remote(),
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gpu_id=self.kv_args.gpu_id,
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ib_device=self.kv_args.ib_device,
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)
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self.disaggregation_mode = disaggregation_mode
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# for p/d multi node infer
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self.bootstrap_port = server_args.disaggregation_bootstrap_port
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self.dist_init_addr = server_args.dist_init_addr
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self.tp_size = server_args.tp_size
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self.dp_size = server_args.dp_size
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self.enable_dp_attention = server_args.enable_dp_attention
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if not server_args.enable_dp_attention and server_args.dp_size != 1:
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raise ValueError(
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"If dp_attention is not enabled, dp size must be 1 in disaggregation mode."
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)
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self.request_status: Dict[int, KVPoll] = {}
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self.rank_port = None
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self.server_socket = zmq.Context().socket(zmq.PULL)
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self.register_buffer_to_engine()
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if self.disaggregation_mode == DisaggregationMode.PREFILL:
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self.transfer_queue = queue.Queue()
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self.transfer_infos: Dict[int, TransferInfo] = {}
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self.decode_kv_args_table: Dict[str, KVArgsRegisterInfo] = {}
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self.start_prefill_thread()
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self._register_to_bootstrap()
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# Determine the number of threads to use for kv sender
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cpu_count = os.cpu_count()
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self.executor = concurrent.futures.ThreadPoolExecutor(
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min(cpu_count // 4, 16)
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)
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elif self.disaggregation_mode == DisaggregationMode.DECODE:
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self.start_decode_thread()
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self.connection_pool: Dict[str, Dict[str, Union[str, int]]] = {}
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self.prefill_dp_size_table: Dict[str, int] = {}
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else:
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raise ValueError(
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f"Unsupported DisaggregationMode: {self.disaggregation_mode}"
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)
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def register_buffer_to_engine(self):
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for kv_data_ptr, kv_data_len in zip(
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self.kv_args.kv_data_ptrs, self.kv_args.kv_data_lens
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):
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self.engine.register(kv_data_ptr, kv_data_len)
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for aux_data_ptr, aux_data_len in zip(
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self.kv_args.aux_data_ptrs, self.kv_args.aux_data_lens
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):
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self.engine.register(aux_data_ptr, aux_data_len)
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@cache
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def _connect(self, endpoint: str):
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socket = zmq.Context().socket(zmq.PUSH)
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socket.connect(endpoint)
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return socket
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def send_kvcache(
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self,
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mooncake_session_id: str,
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prefill_kv_indices: npt.NDArray[np.int64],
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dst_kv_ptrs: list[int],
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dst_kv_indices: npt.NDArray[np.int64],
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):
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# Group by indices
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prefill_kv_blocks, dst_kv_blocks = group_concurrent_contiguous(
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prefill_kv_indices, dst_kv_indices
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)
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num_layers = len(self.kv_args.kv_data_ptrs)
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layers_params = [
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(
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self.kv_args.kv_data_ptrs[layer_id],
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dst_kv_ptrs[layer_id],
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self.kv_args.kv_item_lens[layer_id],
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)
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for layer_id in range(num_layers)
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]
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# Worker function for processing a single layer
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def process_layer(src_ptr: int, dst_ptr: int, item_len: int) -> int:
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for prefill_index, decode_index in zip(prefill_kv_blocks, dst_kv_blocks):
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src_addr = src_ptr + int(prefill_index[0]) * item_len
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dst_addr = dst_ptr + int(decode_index[0]) * item_len
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length = item_len * len(prefill_index)
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status = self.engine.transfer_sync(
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mooncake_session_id, src_addr, dst_addr, length
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)
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if status != 0:
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return status
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return 0
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futures = [
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self.executor.submit(
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process_layer,
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src_ptr,
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dst_ptr,
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item_len,
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)
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for (src_ptr, dst_ptr, item_len) in layers_params
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]
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for future in concurrent.futures.as_completed(futures):
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status = future.result()
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if status != 0:
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# Immediate shutdown on first error (existing tasks will finish)
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executor.shutdown(wait=False)
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for f in futures:
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f.cancel()
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return status
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return 0
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def send_aux(
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self,
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mooncake_session_id: str,
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prefill_aux_index: int,
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dst_aux_ptrs: list[int],
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dst_aux_index: int,
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):
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aux_item_len = self.kv_args.aux_item_lens[0]
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prefill_aux_addr = (
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self.kv_args.aux_data_ptrs[0] + prefill_aux_index * aux_item_len
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)
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decode_aux_addr = dst_aux_ptrs[0] + dst_aux_index * aux_item_len
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# TODO: mooncake transfer engine can do async transfer. Do async later
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# Not sure about the amount of aux data, maybe transfer it by zmq is more effective
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status = self.engine.transfer_sync(
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mooncake_session_id, prefill_aux_addr, decode_aux_addr, aux_item_len
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)
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return status
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def sync_status_to_decode_endpoint(self, remote: str, dst_port: int, room: int):
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if ":" in remote:
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remote = remote.split(":")[0]
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self._connect("tcp://" + remote + ":" + str(dst_port)).send_multipart(
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[
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str(room).encode("ascii"),
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str(self.request_status[room]).encode("ascii"),
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]
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)
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def start_prefill_thread(self):
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self.rank_port = get_free_port()
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self.server_socket.bind(f"tcp://{get_local_ip_by_remote()}:{self.rank_port}")
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def bootstrap_thread():
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"""This thread recvs pre-alloc notification from the decode engine"""
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# KVPoll.Bootstrapping -> KVPoll.WaitingForInput
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while True:
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waiting_req_bytes = self.server_socket.recv_multipart()
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room = waiting_req_bytes[0].decode("ascii")
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if room == "None":
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mooncake_session_id = waiting_req_bytes[3].decode("ascii")
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self.decode_kv_args_table[mooncake_session_id] = (
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KVArgsRegisterInfo.from_zmq(waiting_req_bytes)
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)
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logger.debug(
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f"Register KVArgs from {mooncake_session_id} successfully"
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)
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continue
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room = int(room)
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self.transfer_infos[room] = TransferInfo.from_zmq(waiting_req_bytes)
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# NOTE: after bootstrapping we can mark the req as waiting for input
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self.request_status[room] = KVPoll.WaitingForInput
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def transfer_thread():
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# TODO: Shall we use KVPoll.Transferring state?
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while True:
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try:
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kv_chunk: TransferKVChunk = self.transfer_queue.get(timeout=0.01)
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req = self.transfer_infos[kv_chunk.room]
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chunked_dst_kv_indice = req.dst_kv_indices[kv_chunk.index_slice]
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assert len(chunked_dst_kv_indice) == len(
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kv_chunk.prefill_kv_indices
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), f"len(chunked_dst_kv_indice) = {len(chunked_dst_kv_indice)}, len(kv_chunk.prefill_kv_indices) = {len(kv_chunk.prefill_kv_indices)}"
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ret = self.send_kvcache(
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req.mooncake_session_id,
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kv_chunk.prefill_kv_indices,
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self.decode_kv_args_table[req.mooncake_session_id].dst_kv_ptrs,
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chunked_dst_kv_indice,
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)
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if ret != 0:
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self.request_status[kv_chunk.room] = KVPoll.Failed
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self.sync_status_to_decode_endpoint(
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req.endpoint, req.dst_port, req.room
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)
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continue
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if kv_chunk.is_last:
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# Only the last chunk we need to send the aux data
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ret = self.send_aux(
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req.mooncake_session_id,
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kv_chunk.prefill_aux_index,
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self.decode_kv_args_table[
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req.mooncake_session_id
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].dst_aux_ptrs,
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req.dst_aux_index,
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)
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self.request_status[req.room] = (
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KVPoll.Success if ret == 0 else KVPoll.Failed
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)
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self.sync_status_to_decode_endpoint(
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req.endpoint, req.dst_port, req.room
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)
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self.transfer_infos.pop(req.room)
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except queue.Empty:
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continue
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threading.Thread(target=bootstrap_thread).start()
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threading.Thread(target=transfer_thread).start()
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def start_decode_thread(self):
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self.rank_port = get_free_port()
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self.server_socket.bind(f"tcp://{get_local_ip_by_remote()}:{self.rank_port}")
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def decode_thread():
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while True:
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(bootstrap_room, status) = self.server_socket.recv_multipart()
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status = int(status.decode("ascii"))
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bootstrap_room = int(bootstrap_room.decode("ascii"))
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self.request_status[bootstrap_room] = status
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threading.Thread(target=decode_thread).start()
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def add_transfer_request(
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self,
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bootstrap_room: int,
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kv_indices: npt.NDArray[np.int64],
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index_slice: slice,
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is_last: bool,
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aux_index: Optional[int] = None,
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):
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assert self.disaggregation_mode == DisaggregationMode.PREFILL
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assert not is_last or (is_last and aux_index is not None)
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self.transfer_queue.put(
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TransferKVChunk(
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room=bootstrap_room,
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prefill_kv_indices=kv_indices,
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index_slice=index_slice,
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is_last=is_last,
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prefill_aux_index=aux_index,
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)
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)
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self.request_status[bootstrap_room] = KVPoll.WaitingForInput
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def check_status(self, bootstrap_room: int):
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# TOOD: do we really need the poll()?
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return self.request_status[bootstrap_room]
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def update_status(self, bootstrap_room: int, status: KVPoll):
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if bootstrap_room not in self.request_status:
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self.request_status[bootstrap_room] = status
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else:
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# NOTE: The prefill engine could recv bootstrapping first
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self.request_status[bootstrap_room] = max(
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self.request_status[bootstrap_room], status
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)
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def get_session_id(self):
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return self.engine.get_session_id()
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def _register_to_bootstrap(self):
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"""Register KVSender to bootstrap server via HTTP POST."""
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if self.dist_init_addr:
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ip_address = socket.gethostbyname(self.dist_init_addr.split(":")[0])
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else:
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ip_address = get_ip()
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bootstrap_server_url = f"{ip_address}:{self.bootstrap_port}"
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url = f"http://{bootstrap_server_url}/route"
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payload = {
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"role": "Prefill",
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"tp_size": self.tp_size,
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"dp_size": self.dp_size,
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"rank_ip": get_local_ip_by_remote(),
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"rank_port": self.rank_port,
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"engine_rank": self.kv_args.engine_rank,
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}
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try:
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response = requests.put(url, json=payload)
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if response.status_code == 200:
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logger.debug("Prefill successfully registered to bootstrap server.")
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else:
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logger.error(
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f"Prefill Failed to connect to bootstrap server: {response.status_code}, {response.text}"
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)
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except Exception as e:
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logger.error(f"Prefill Failed to register to bootstrap server: {e}")
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class MooncakeKVSender(BaseKVSender):
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def __init__(
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self, mgr: MooncakeKVManager, bootstrap_addr: str, bootstrap_room: int
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):
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self.kv_mgr = mgr
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self.bootstrap_room = bootstrap_room
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self.kv_mgr.update_status(bootstrap_room, KVPoll.Bootstrapping)
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self.aux_index = None
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self.bootstrap_server_url = bootstrap_addr
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self.session_id = self.kv_mgr.get_session_id()
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def init(self, num_kv_indices: int, aux_index: Optional[int] = None):
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self.num_kv_indices = num_kv_indices
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self.aux_index = aux_index
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def send(
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self,
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kv_indices: npt.NDArray[np.int64],
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index_slice: slice,
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is_last: bool,
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):
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if not is_last:
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self.kv_mgr.add_transfer_request(
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self.bootstrap_room, kv_indices, index_slice, False
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)
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else:
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self.kv_mgr.add_transfer_request(
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self.bootstrap_room,
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kv_indices,
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index_slice,
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True,
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aux_index=self.aux_index,
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)
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def poll(self) -> KVPoll:
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return self.kv_mgr.check_status(self.bootstrap_room)
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def failure_exception(self):
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raise Exception("Fake KVSender Exception")
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|
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class MooncakeKVReceiver(BaseKVReceiver):
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_ctx = zmq.Context()
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_socket_cache = {}
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_socket_locks = {}
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_global_lock = threading.Lock()
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|
|
def __init__(
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self,
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mgr: MooncakeKVManager,
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bootstrap_addr: str,
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bootstrap_room: Optional[int] = None,
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):
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self.bootstrap_room = bootstrap_room
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self.bootstrap_addr = bootstrap_addr
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self.kv_mgr = mgr
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self.session_id = self.kv_mgr.get_session_id()
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self.kv_mgr.update_status(bootstrap_room, KVPoll.Bootstrapping)
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if not self.kv_mgr.enable_dp_attention:
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# We assume dp_attention should be activated simultaneously for
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# both prefill role and decode role. If the decode instance does
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# not enable dp_attention, then dp_attention is not enabled on the
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# prefill instance as well. Therefore, we should skip questioning
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# the prefill dp size to reduce bootstrap overhead.
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|
self.prefill_dp_size = 1
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elif self.bootstrap_addr not in self.kv_mgr.prefill_dp_size_table:
|
|
self.prefill_dp_size, tp_size_per_dp_rank = (
|
|
self._get_prefill_dp_size_from_server()
|
|
)
|
|
# Currently, we don't allow prefill instance and decode instance to
|
|
# have different TP sizes per DP rank.
|
|
assert tp_size_per_dp_rank == self.kv_mgr.tp_size // self.kv_mgr.dp_size
|
|
if self.prefill_dp_size is None:
|
|
logger.error(
|
|
f"Could not fetch prefill dp_size for bootstrap_addr: {self.bootstrap_addr}"
|
|
)
|
|
else:
|
|
self.kv_mgr.prefill_dp_size_table[self.bootstrap_addr] = (
|
|
self.prefill_dp_size
|
|
)
|
|
else:
|
|
self.prefill_dp_size = self.kv_mgr.prefill_dp_size_table[
|
|
self.bootstrap_addr
|
|
]
|
|
|
|
# NOTE: key distinguished by bootstrap_addr and engine_rank
|
|
self.target_dp_group = bootstrap_room % self.prefill_dp_size
|
|
bootstrap_key = f"{self.bootstrap_addr}_{self.kv_mgr.kv_args.engine_rank}"
|
|
|
|
if bootstrap_key not in self.kv_mgr.connection_pool:
|
|
self.bootstrap_info = self._get_bootstrap_info_from_server(
|
|
self.kv_mgr.kv_args.engine_rank,
|
|
self.target_dp_group,
|
|
)
|
|
if self.bootstrap_info is None:
|
|
logger.error(
|
|
f"Could not fetch bootstrap info for engine rank: {self.kv_mgr.kv_args.engine_rank}"
|
|
)
|
|
else:
|
|
self.kv_mgr.connection_pool[bootstrap_key] = self.bootstrap_info
|
|
# Register kv_args only once to prefill KVManager according to the info fetched from the bootstrap server
|
|
self._register_kv_args()
|
|
else:
|
|
self.bootstrap_info = self.kv_mgr.connection_pool[bootstrap_key]
|
|
|
|
assert self.bootstrap_info is not None
|
|
self.kv_mgr.update_status(bootstrap_room, KVPoll.WaitingForInput)
|
|
|
|
def _get_bootstrap_info_from_server(self, engine_rank, target_dp_group):
|
|
"""Fetch the bootstrap info from the bootstrap server."""
|
|
try:
|
|
url = f"http://{self.bootstrap_addr}/route?engine_rank={engine_rank}&target_dp_group={target_dp_group}"
|
|
response = requests.get(url)
|
|
if response.status_code == 200:
|
|
bootstrap_info = response.json()
|
|
return bootstrap_info
|
|
else:
|
|
logger.error(
|
|
f"Failed to get prefill server info: {response.status_code}, {response.text}"
|
|
)
|
|
return None
|
|
except Exception as e:
|
|
logger.error(f"Error fetching prefill info from bootstrap: {e}")
|
|
return None
|
|
|
|
def _get_prefill_dp_size_from_server(self) -> int:
|
|
"""Fetch the prefill parallel info from the bootstrap server."""
|
|
try:
|
|
url = f"http://{self.bootstrap_addr}/route?engine_rank={-1}&target_dp_group={-1}"
|
|
response = requests.get(url)
|
|
if response.status_code == 200:
|
|
prefill_parallel_info = response.json()
|
|
return int(prefill_parallel_info["prefill_dp_size"]), int(
|
|
prefill_parallel_info["tp_size_per_dp_rank"]
|
|
)
|
|
else:
|
|
logger.error(
|
|
f"Failed to get prefill parallel info: {response.status_code}, {response.text}"
|
|
)
|
|
return None
|
|
except Exception as e:
|
|
logger.error(f"Error fetching prefill parallel info from bootstrap: {e}")
|
|
return None
|
|
|
|
def _register_kv_args(self):
|
|
self.prefill_server_url = (
|
|
f"{self.bootstrap_info['rank_ip']}:{self.bootstrap_info['rank_port']}"
|
|
)
|
|
|
|
packed_kv_data_ptrs = b"".join(
|
|
struct.pack("Q", ptr) for ptr in self.kv_mgr.kv_args.kv_data_ptrs
|
|
)
|
|
packed_aux_data_ptrs = b"".join(
|
|
struct.pack("Q", ptr) for ptr in self.kv_mgr.kv_args.aux_data_ptrs
|
|
)
|
|
sock, lock = self._connect("tcp://" + self.prefill_server_url)
|
|
with lock:
|
|
sock.send_multipart(
|
|
[
|
|
"None".encode("ascii"),
|
|
get_local_ip_by_remote().encode("ascii"),
|
|
str(self.kv_mgr.rank_port).encode("ascii"),
|
|
self.session_id.encode("ascii"),
|
|
packed_kv_data_ptrs,
|
|
packed_aux_data_ptrs,
|
|
]
|
|
)
|
|
|
|
@classmethod
|
|
def _connect(cls, endpoint: str):
|
|
with cls._global_lock:
|
|
if endpoint not in cls._socket_cache:
|
|
sock = cls._ctx.socket(zmq.PUSH)
|
|
sock.connect(endpoint)
|
|
cls._socket_cache[endpoint] = sock
|
|
cls._socket_locks[endpoint] = threading.Lock()
|
|
return cls._socket_cache[endpoint], cls._socket_locks[endpoint]
|
|
|
|
def init(self, kv_indices: npt.NDArray[np.int64], aux_index: Optional[int] = None):
|
|
self.prefill_server_url = (
|
|
f"{self.bootstrap_info['rank_ip']}:{self.bootstrap_info['rank_port']}"
|
|
)
|
|
logger.debug(
|
|
f"Fetched bootstrap info: {self.bootstrap_info} for engine rank: {self.kv_mgr.kv_args.engine_rank}"
|
|
)
|
|
|
|
sock, lock = self._connect("tcp://" + self.prefill_server_url)
|
|
with lock:
|
|
sock.send_multipart(
|
|
[
|
|
str(self.bootstrap_room).encode("ascii"),
|
|
get_local_ip_by_remote().encode("ascii"),
|
|
str(self.kv_mgr.rank_port).encode("ascii"),
|
|
self.session_id.encode("ascii"),
|
|
kv_indices.tobytes(),
|
|
str(aux_index).encode("ascii"),
|
|
]
|
|
)
|
|
|
|
def poll(self) -> KVPoll:
|
|
return self.kv_mgr.check_status(self.bootstrap_room)
|
|
|
|
def failure_exception(self):
|
|
raise Exception("Fake KVReceiver Exception")
|
|
|
|
|
|
class MooncakeKVBootstrapServer(BaseKVBootstrapServer):
|
|
def __init__(self, port: int):
|
|
self.port = port
|
|
self.app = web.Application()
|
|
self.store = dict()
|
|
self.lock = asyncio.Lock()
|
|
self._setup_routes()
|
|
self.dp_size = None
|
|
self.tp_size_per_dp_rank = None
|
|
self.prefill_port_table: Dict[int, Dict[int, Dict[str, Union[str, int]]]] = {}
|
|
|
|
# Start bootstrap server
|
|
self.thread = threading.Thread(target=self._run_server, daemon=True)
|
|
self.run()
|
|
|
|
def run(self):
|
|
self.thread.start()
|
|
|
|
def _setup_routes(self):
|
|
self.app.router.add_route("*", "/route", self._handle_route)
|
|
|
|
async def _handle_route(self, request: web.Request):
|
|
method = request.method
|
|
if method == "PUT":
|
|
return await self._handle_route_put(request)
|
|
elif method == "GET":
|
|
return await self._handle_route_get(request)
|
|
else:
|
|
return web.Response(
|
|
text="Method not allowed", status=405, content_type="application/json"
|
|
)
|
|
|
|
async def _handle_route_put(self, request: web.Request):
|
|
data = await request.json()
|
|
role = data["role"]
|
|
tp_size = data["tp_size"]
|
|
dp_size = data["dp_size"]
|
|
rank_ip = data["rank_ip"]
|
|
rank_port = int(data["rank_port"])
|
|
engine_rank = int(data["engine_rank"])
|
|
|
|
if self.dp_size is None:
|
|
self.dp_size = dp_size
|
|
|
|
tp_size_per_dp_rank = tp_size // dp_size
|
|
if self.tp_size_per_dp_rank == None:
|
|
self.tp_size_per_dp_rank = tp_size_per_dp_rank
|
|
|
|
# Add lock to make sure thread-safe
|
|
if role == "Prefill":
|
|
dp_group = engine_rank // tp_size_per_dp_rank
|
|
tp_rank_in_dp_group = engine_rank % tp_size_per_dp_rank
|
|
|
|
async with self.lock:
|
|
if dp_group not in self.prefill_port_table:
|
|
self.prefill_port_table[dp_group] = {}
|
|
|
|
self.prefill_port_table[dp_group][tp_rank_in_dp_group] = {
|
|
"rank_ip": rank_ip,
|
|
"rank_port": rank_port,
|
|
}
|
|
logger.debug(
|
|
f"Register Prefill bootstrap: {engine_rank} with rank_ip: {rank_ip} and rank_port: {rank_port}"
|
|
)
|
|
|
|
return web.Response(text="OK", status=200)
|
|
|
|
async def _handle_route_get(self, request: web.Request):
|
|
engine_rank = request.query.get("engine_rank")
|
|
target_dp_group = request.query.get("target_dp_group")
|
|
if not engine_rank or not target_dp_group:
|
|
return web.Response(text="Missing inputs for bootstrap server.", status=400)
|
|
|
|
# Currently we use engine_rank == -1 and target_dp_group == -1 to sync dp size
|
|
if int(engine_rank) == -1 and int(target_dp_group) == -1:
|
|
prefill_parallel_info = {
|
|
"prefill_dp_size": self.dp_size,
|
|
"tp_size_per_dp_rank": self.tp_size_per_dp_rank,
|
|
}
|
|
return web.json_response(prefill_parallel_info, status=200)
|
|
|
|
# Find corresponding prefill info
|
|
tp_rank_in_dp_group = int(engine_rank) % self.tp_size_per_dp_rank
|
|
|
|
async with self.lock:
|
|
bootstrap_info = self.prefill_port_table[int(target_dp_group)][
|
|
tp_rank_in_dp_group
|
|
]
|
|
|
|
if bootstrap_info is not None:
|
|
return web.json_response(bootstrap_info, status=200)
|
|
else:
|
|
return web.Response(text="Bootstrap info not Found", status=404)
|
|
|
|
def _run_server(self):
|
|
try:
|
|
# Event Loop
|
|
self._loop = asyncio.new_event_loop()
|
|
asyncio.set_event_loop(self._loop)
|
|
|
|
self._runner = web.AppRunner(self.app)
|
|
self._loop.run_until_complete(self._runner.setup())
|
|
|
|
site = web.TCPSite(self._runner, port=self.port)
|
|
self._loop.run_until_complete(site.start())
|
|
self._loop.run_forever()
|
|
except Exception as e:
|
|
logger.error(f"Server error: {str(e)}")
|
|
finally:
|
|
# Cleanup
|
|
self._loop.run_until_complete(self._runner.cleanup())
|
|
self._loop.close()
|
|
|
|
def close(self):
|
|
"""Shutdown"""
|
|
if self._loop is not None and self._loop.is_running():
|
|
self._loop.call_soon_threadsafe(self._loop.stop)
|
|
logger.info("Stopping server loop...")
|
|
|
|
if self.thread.is_alive():
|
|
self.thread.join(timeout=2)
|
|
logger.info("Server thread stopped")
|
|
|
|
def poll(self) -> KVPoll: ...
|