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