Files
enginex-bi_150-vllm/distributed/kv_transfer/kv_pipe/mooncake_pipe.py
2026-03-05 18:06:10 +08:00

296 lines
12 KiB
Python

# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
import json
import os
import struct
from concurrent.futures import ThreadPoolExecutor
from dataclasses import dataclass
import torch
import zmq
from safetensors.torch import load as safetensors_load
from safetensors.torch import save as safetensors_save
from vllm.config.kv_transfer import KVTransferConfig
from vllm.distributed.kv_transfer.kv_pipe.base import KVPipeBase
from vllm.logger import init_logger
from vllm.utils.network_utils import join_host_port, make_zmq_path, split_host_port
logger = init_logger(__name__)
NONE_INT = -150886311
@dataclass
class MooncakeTransferEngineConfig:
prefill_url: str
decode_url: str
metadata_backend: str | None
metadata_server: str
protocol: str
device_name: str
@staticmethod
def from_file(file_path: str) -> "MooncakeTransferEngineConfig":
"""Load the config from a JSON file."""
with open(file_path) as fin:
config = json.load(fin)
return MooncakeTransferEngineConfig(
prefill_url=config.get("prefill_url"),
decode_url=config.get("decode_url"),
metadata_backend=config.get("metadata_backend", None),
metadata_server=config.get("metadata_server"),
protocol=config.get("protocol", "tcp"),
device_name=config.get("device_name", ""),
)
@staticmethod
def load_from_env() -> "MooncakeTransferEngineConfig":
"""Load config from a file specified in the environment variable."""
config_file_path = os.getenv("MOONCAKE_CONFIG_PATH")
if config_file_path is None:
raise ValueError(
"The environment variable 'MOONCAKE_CONFIG_PATH' is not set."
)
return MooncakeTransferEngineConfig.from_file(config_file_path)
class MooncakeTransferEngine:
"""Handles the transfer of data using mooncake_vllm_adaptor and ZeroMQ."""
def __init__(self, kv_rank: int, local_rank: int):
try:
from mooncake.engine import TransferEngine
except ImportError as e:
raise ImportError(
"Please install mooncake by following the instructions at "
"https://github.com/kvcache-ai/Mooncake/blob/main/doc/en/build.md " # noqa: E501
"to run vLLM with MooncakeConnector."
) from e
self.engine = TransferEngine()
self.local_rank = local_rank
try:
self.config = MooncakeTransferEngineConfig.load_from_env()
logger.info("Mooncake Configuration loaded successfully.")
except ValueError as e:
logger.error(e)
raise
except Exception as exc:
logger.error("An error occurred while loading the configuration: %s", exc)
raise
prefill_host, base_prefill_port = split_host_port(self.config.prefill_url)
decode_host, base_decode_port = split_host_port(self.config.decode_url)
# Avoid ports conflict when running prefill and decode on the same node
if prefill_host == decode_host and base_prefill_port == base_decode_port:
base_decode_port = base_decode_port + 100
prefill_port = base_prefill_port + self.local_rank
decode_port = base_decode_port + self.local_rank
self.prefill_url = join_host_port(prefill_host, prefill_port)
self.decode_url = join_host_port(decode_host, decode_port)
self.initialize(
self.prefill_url if kv_rank == 0 else self.decode_url,
self.config.metadata_server,
self.config.protocol,
self.config.device_name,
self.config.metadata_backend,
)
self.remote_url = self.decode_url if kv_rank == 0 else self.prefill_url
# Initialize ZeroMQ context and sockets
self.context = zmq.Context() # type: ignore[attr-defined]
self.sender_socket = self.context.socket(zmq.constants.PUSH)
self.receiver_socket = self.context.socket(zmq.constants.PULL)
self.sender_ack = self.context.socket(zmq.constants.PULL)
self.receiver_ack = self.context.socket(zmq.constants.PUSH)
self.buffer_cleaner = ThreadPoolExecutor(max_workers=1)
self._setup_metadata_sockets(
kv_rank, prefill_host, base_prefill_port, decode_host, base_decode_port
)
def _setup_metadata_sockets(
self, kv_rank: int, p_host: str, p_port: int, d_host: str, d_port: int
) -> None:
"""Set up ZeroMQ sockets for sending and receiving data."""
# Offsets < 8 are left for initialization in case tp and pp are enabled
p_rank_offset = p_port + 8 + self.local_rank * 2
d_rank_offset = d_port + 8 + self.local_rank * 2
if kv_rank == 0:
self.sender_socket.bind(make_zmq_path("tcp", p_host, p_rank_offset + 1))
self.receiver_socket.connect(
make_zmq_path("tcp", d_host, d_rank_offset + 1)
)
self.sender_ack.connect(make_zmq_path("tcp", d_host, d_rank_offset + 2))
self.receiver_ack.bind(make_zmq_path("tcp", p_host, p_rank_offset + 2))
else:
self.receiver_socket.connect(
make_zmq_path("tcp", p_host, p_rank_offset + 1)
)
self.sender_socket.bind(make_zmq_path("tcp", d_host, d_rank_offset + 1))
self.receiver_ack.bind(make_zmq_path("tcp", d_host, d_rank_offset + 2))
self.sender_ack.connect(make_zmq_path("tcp", p_host, p_rank_offset + 2))
def initialize(
self,
local_hostname: str,
metadata_server: str,
protocol: str,
device_name: str,
metadata_backend: str | None,
) -> None:
"""Initialize the mooncake instance."""
if metadata_backend is None:
self.engine.initialize(
local_hostname, metadata_server, protocol, device_name
)
else:
supported_backend = ["etcd", "redis"]
metadata_backend = metadata_backend.lower()
if metadata_backend not in supported_backend:
raise ValueError(
"Mooncake Configuration error. `metadata_backend`"
f" should be one of {supported_backend}."
)
self.engine.initialize_ext(
local_hostname, metadata_server, protocol, device_name, metadata_backend
)
def allocate_managed_buffer(self, length: int) -> int:
"""Allocate a managed buffer of the specified length."""
ret = self.engine.allocate_managed_buffer(length)
if ret <= 0:
logger.error("Allocation Return Error")
raise Exception("Allocation Return Error")
return ret
def free_managed_buffer(self, buffer: int, length: int) -> int:
"""Free a previously allocated managed buffer."""
return self.engine.free_managed_buffer(buffer, length)
def transfer_sync(self, buffer: int, peer_buffer_address: int, length: int) -> int:
"""Synchronously transfer data to the specified address."""
ret = self.engine.transfer_sync_read(
self.remote_url, buffer, peer_buffer_address, length
)
if ret < 0:
logger.error("Transfer Return Error")
raise Exception("Transfer Return Error")
return ret
def write_bytes_to_buffer(self, buffer: int, user_data: bytes, length: int) -> int:
"""Write bytes to the allocated buffer."""
return self.engine.write_bytes_to_buffer(buffer, user_data, length)
def read_bytes_from_buffer(self, buffer: int, length: int) -> bytes:
"""Read bytes from the allocated buffer."""
return self.engine.read_bytes_from_buffer(buffer, length)
def wait_for_ack(self, src_ptr: int, length: int) -> None:
"""Asynchronously wait for ACK from the receiver."""
ack = self.sender_ack.recv()
if ack != b"ACK":
logger.error("Failed to receive ACK from the receiver")
self.free_managed_buffer(src_ptr, length)
def send_bytes(self, user_data: bytes) -> None:
"""Send bytes to the remote process."""
length = len(user_data)
src_ptr = self.allocate_managed_buffer(length)
self.write_bytes_to_buffer(src_ptr, user_data, length)
self.sender_socket.send_multipart(
[struct.pack("!Q", src_ptr), struct.pack("!Q", length)]
)
self.buffer_cleaner.submit(self.wait_for_ack, src_ptr, length)
def recv_bytes(self) -> bytes:
"""Receive bytes from the remote process."""
data = self.receiver_socket.recv_multipart()
src_ptr = struct.unpack("!Q", data[0])[0]
length = struct.unpack("!Q", data[1])[0]
dst_ptr = self.allocate_managed_buffer(length)
self.transfer_sync(dst_ptr, src_ptr, length)
ret = self.read_bytes_from_buffer(dst_ptr, length)
# Buffer cleanup
self.receiver_ack.send(b"ACK")
self.free_managed_buffer(dst_ptr, length)
return ret
class MooncakePipe(KVPipeBase):
"""MooncakeTransferEngine based Pipe implementation."""
def __init__(
self, local_rank: int, config: KVTransferConfig, device: str | None = None
):
"""Initialize the mooncake pipe and set related parameters."""
self.config = config
self.local_rank = local_rank
self.kv_rank = self.config.kv_rank
assert self.kv_rank is not None
if device is None:
self.device = self._select_device(self.config.kv_buffer_device)
else:
self.device = self._select_device(device)
self.transfer_engine = MooncakeTransferEngine(self.kv_rank, self.local_rank)
self.transport_thread: ThreadPoolExecutor | None = None
self.none_tensor = torch.tensor([NONE_INT], device=self.device)
def _select_device(self, device: str) -> torch.device:
"""Select available device (CUDA or CPU)."""
logger.info("Selecting device: %s", device)
if device == "cuda":
return torch.device(f"cuda:{self.local_rank}")
else:
return torch.device("cpu")
def tensor_hash(self, tensor: torch.Tensor) -> int:
"""Calculate the hash value of the tensor."""
return hash(tensor.data_ptr())
def _send_impl(self, tensor: torch.Tensor) -> None:
"""Implement the tensor sending logic using safetensors."""
self.transfer_engine.send_bytes(safetensors_save({"tensor": tensor}))
def _recv_impl(self) -> torch.Tensor:
"""Implement the tensor receiving logic using safetensors."""
data = self.transfer_engine.recv_bytes()
return safetensors_load(data)["tensor"].to(self.device)
def send_tensor(self, tensor: torch.Tensor | None) -> None:
"""Send tensor to the target process."""
if self.transport_thread is None:
self.transport_thread = ThreadPoolExecutor(max_workers=1)
tensor = tensor if tensor is not None else self.none_tensor
assert len(tensor.shape) > 0
self.transport_thread.submit(self._send_impl, tensor)
def recv_tensor(self) -> torch.Tensor | None:
"""Receive tensor from other processes."""
if self.transport_thread is None:
self.transport_thread = ThreadPoolExecutor(max_workers=1)
tensor = self.transport_thread.submit(self._recv_impl).result()
if tensor.numel() == 1 and tensor.item() == NONE_INT:
return None
else:
return tensor
def close(self) -> None:
"""Cleanup logic when closing the pipe."""
self.transfer_engine.sender_socket.close()
self.transfer_engine.receiver_socket.close()
self.transfer_engine.sender_ack.close()
self.transfer_engine.receiver_ack.close()
self.transfer_engine.context.term() # Terminate the ZMQ context
logger.info("Closed the transfer engine and cleaned up resources.")