Making large AI models cheaper, faster and more accessible
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from multiprocessing import Pipe, Process
from multiprocessing import connection as mp_connection
import click
import fabric
from .hostinfo import HostInfo, HostInfoList
def run_on_host(
hostinfo: HostInfo,
workdir: str,
recv_conn: mp_connection.Connection,
send_conn: mp_connection.Connection,
env: dict,
) -> None:
"""
Use fabric connection to execute command on local or remote hosts.
Args:
hostinfo (HostInfo): host information
workdir (str): the directory to execute the command
recv_conn (multiprocessing.connection.Connection): receive messages from the master sender
send_conn (multiprocessing.connection.Connection): send messages to the master receiver
env (dict): a dictionary for environment variables
"""
fab_conn = fabric.Connection(hostinfo.hostname, port=hostinfo.port)
finish = False
env_msg = " ".join([f'{k}="{v}"' for k, v in env.items()])
# keep listening until exit
while not finish:
# receive cmd
cmds = recv_conn.recv()
if cmds == "exit":
# exit from the loop
finish = True
break
else:
# execute the commands
try:
# cd to execute directory
with fab_conn.cd(workdir):
# propagate the runtime environment
with fab_conn.prefix(f"export {env_msg}"):
if hostinfo.is_local_host:
# execute on the local machine
fab_conn.local(cmds, hide=False)
else:
# execute on the remote machine
fab_conn.run(cmds, hide=False)
send_conn.send("success")
except Exception as e:
click.echo(
f"Error: failed to run {cmds} on {hostinfo.hostname}, is localhost: {hostinfo.is_local_host}, exception: {e}"
)
send_conn.send("failure")
# shutdown
send_conn.send("finish")
fab_conn.close()
class MultiNodeRunner:
"""
A runner to execute commands on an array of machines. This runner
is inspired by Nezha (https://github.com/zhuzilin/NeZha).
"""
def __init__(self):
self.processes = {}
self.master_send_conns = {}
self.master_recv_conns = {}
def connect(self, host_info_list: HostInfoList, workdir: str, env: dict) -> None:
"""
Establish connections to a list of hosts
Args:
host_info_list (HostInfoList): a list of HostInfo objects
workdir (str): the directory where command is executed
env (dict): environment variables to propagate to hosts
"""
for hostinfo in host_info_list:
master_send_conn, worker_recv_conn = Pipe()
master_recv_conn, worker_send_conn = Pipe()
p = Process(target=run_on_host, args=(hostinfo, workdir, worker_recv_conn, worker_send_conn, env))
p.start()
self.processes[hostinfo.hostname] = p
self.master_recv_conns[hostinfo.hostname] = master_recv_conn
self.master_send_conns[hostinfo.hostname] = master_send_conn
def send(self, hostinfo: HostInfo, cmd: str) -> None:
"""
Send a command to a local/remote host.
Args:
hostinfo (HostInfo): host information
cmd (str): the command to execute
"""
assert hostinfo.hostname in self.master_send_conns, f"{hostinfo} is not found in the current connections"
conn = self.master_send_conns[hostinfo.hostname]
conn.send(cmd)
def stop_all(self) -> None:
"""
Stop connections to all hosts.
"""
for hostname, conn in self.master_send_conns.items():
conn.send("exit")
def recv_from_all(self) -> dict:
"""
Receive messages from all hosts
Returns:
msg_from_node (dict): a dictionary which contains messages from each node
"""
msg_from_node = dict()
for hostname, conn in self.master_recv_conns.items():
msg_from_node[hostname] = conn.recv()
return msg_from_node