wehub-resource-sync
68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
# Copyright (c) 2021 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 os
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import shutil
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import tempfile
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import paddle
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from paddle.distributed.fleet.elastic.manager import LauncherInterface
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from paddle.distributed.fleet.launch_utils import (
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logger,
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pull_worker_log,
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start_local_trainers,
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)
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class CollectiveLauncher(LauncherInterface):
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def __init__(self, args):
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self.args = args
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self.procs = []
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def launch(self):
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logger.info("collective launcher launch ...")
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args = self.args
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self.tmp_dir = tempfile.mkdtemp()
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cluster, pod = paddle.distributed.fleet.launch.get_cluster_info(args)
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global_envs = paddle.distributed.fleet.launch.get_global_envs(
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args, self.tmp_dir
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)
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self.procs = start_local_trainers(
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cluster,
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pod,
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training_script=args.training_script,
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training_script_args=args.training_script_args,
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log_dir=args.log_dir,
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envs=global_envs,
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)
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for idx, proc in enumerate(self.procs):
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logger.info(f"launch proc_id:{proc.proc.pid} idx:{idx}")
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def stop(self):
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logger.info("collective launcher stop ...")
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if not self._terminate_procs():
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logger.error("kill process failed")
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if os.path.exists(self.tmp_dir):
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shutil.rmtree(self.tmp_dir)
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def watch(self):
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logger.debug("collective launcher watch ...")
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for p in self.procs:
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if p.log_fn and p.local_rank == 0:
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pull_worker_log(p)
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ret = self._check_procs()
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return ret
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