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paddlepaddle--paddle/python/paddle/distributed/fleet/elastic/__init__.py
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2026-07-13 12:40:42 +08:00

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Python

# Copyright (c) 2021 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 os
import signal
import sys
from paddle.distributed.fleet.launch_utils import DistributeMode # noqa: F401
from .collective import CollectiveLauncher
from .manager import (
ELASTIC_EXIT_CODE,
ElasticLevel, # noqa: F401
ElasticManager,
ElasticStatus,
)
def enable_elastic(args, distribute_mode):
# elastic_level = os.getenv('PADDLE_ELASTIC_FAULT_TOLERANC_LEVEL')
# if not elastic_level and (elastic_level != ElasticLevel.FAULT_TOLERANCE and
# elastic_level != ElasticLevel.ELASTIC):
# return False
# if distribute_mode != DistributeMode.COLLECTIVE:
# return False
if not args.elastic_server and not os.getenv('PADDLE_ELASTIC_SERVER'):
return False
if not args.job_id and not os.getenv('PADDLE_ELASTIC_JOB_ID'):
return False
if not args.np and not os.getenv('PADDLE_ELASTIC_NP'):
return False
return True
def launch_elastic(args, distribute_mode):
server = args.elastic_server or os.getenv('PADDLE_ELASTIC_SERVER')
srv, port = server.split(':')
import etcd3
etcd_client = etcd3.client(host=srv, port=port)
elastic = ElasticManager(args, etcd_client)
signal.signal(signal.SIGTERM, elastic.signal_handler)
signal.signal(signal.SIGABRT, elastic.signal_handler)
signal.signal(signal.SIGINT, elastic.signal_handler)
while True:
# wait for all nodes ready to run
elastic.wait()
# execute pre hook action, eg: run shell
elastic.pre_hook()
# run self with specified launcher
elastic.run(CollectiveLauncher)
# keep wathing the health status of self and being notified for other's failure
ret = elastic.watch()
if ret == ElasticStatus.COMPLETED:
break
if ret == ElasticStatus.HOLD:
continue
if ret == ElasticStatus.EXIT:
break
if ret == ElasticStatus.ERROR:
sys.exit(3)
if ret == ElasticStatus.RESTART:
sys.exit(ELASTIC_EXIT_CODE)
if int(elastic.sigint) > 0:
sys.exit(128 + int(elastic.sigint))
else:
sys.exit(0)