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paddlepaddle--paddle/python/paddle/distributed/launch/controllers/rpc.py
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2026-07-13 12:40:42 +08:00

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2.9 KiB
Python

# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
from .controller import Controller, ControllerMode
class RpcController(Controller):
@classmethod
def enable(cls, ctx):
if ctx.args.run_mode == ControllerMode.RPC:
ctx.logger.debug(f"{cls.__name__} enabled")
return True
else:
return False
def build_pod(self):
assert self.ctx.args.master is not None, (
"Master is None, Please set master address!"
)
self._build_pod_with_master()
def _build_pod_with_master(self):
# nproc_per_node
self.pod.replicas = self.pod_replicas()
# rank will be reset when restart
self.pod.rank = int(self.ctx.args.rank)
port = self.ctx.node.get_free_port()
# compatible
endpoints = [
f"{self.ctx.node.ip}:{p}"
for p in self.ctx.node.get_free_ports(self.pod.replicas)
]
data = json.dumps(
{
"name": self.pod.name,
"rank": self.pod.rank,
"replicas": self.pod.replicas,
"dtype": self.ctx.node.device.dtype,
"candidate": f"{self.ctx.node.ip}:{port}",
"endpoints": ",".join(endpoints),
}
)
peer_list, rank = self.master.sync_peers(
f"/{self.job.id}/info",
self.pod.name,
data,
self.job.replicas,
self.pod.rank,
)
self.pod.rank = rank
if len(peer_list) < 1:
return False
peer_list = [json.loads(i) for i in peer_list]
self.ctx.logger.debug(f"sync peers done {peer_list}")
self.save_pod_log(peer_list)
global_size = sum([i["replicas"] for i in peer_list])
rank_offset = sum([i["replicas"] for i in peer_list[:rank]])
rpc_master = peer_list[0]["candidate"]
self.pod.reset()
for i in range(self.pod.replicas):
e = {
"PADDLE_MASTER_ENDPOINT": rpc_master,
"PADDLE_WORKER_ENDPOINT": endpoints[i],
"PADDLE_TRAINER_ID": f"{i + rank_offset}",
"PADDLE_TRAINERS_NUM": f"{global_size}",
}
log_file = f"workerlog.{i + rank_offset}"
self.add_container(envs=e, log_file=log_file)
return True