59 lines
1.7 KiB
Python
59 lines
1.7 KiB
Python
# Copyright (c) 2020 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 logging
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# import paddle.incubate.distributed.fleet.role_maker as role_maker
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from paddle.distributed.fleet.base import role_maker
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from paddle.incubate.distributed.fleet.parameter_server.distribute_transpiler import (
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fleet,
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)
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logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
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logger = logging.getLogger("base")
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logger.setLevel(logging.INFO)
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# role = role_maker.GeneralRoleMaker(
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# init_timeout_seconds=100,
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# run_timeout_seconds=100,
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# http_ip_port="127.0.0.1:26001")
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# role = role_maker.PaddleCloudRoleMaker(http_ip_port="127.0.0.1:26001")
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# role = role_maker.GeneralRoleMaker(path="./tmp4")
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logger.info("Begin")
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res = [0, 0]
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logger.info(res)
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role = role_maker.PaddleCloudRoleMaker(path="./tmp4")
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fleet.init(role)
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print("init wancheng") #
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# if fleet.is_worker():
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# import time
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# time.sleep(3)
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a = [5]
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b = [2]
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res = [0]
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if fleet.worker_index() == 0:
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role._all_reduce(role._node_type_comm, a)
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elif fleet.worker_index() == 1:
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role._all_reduce(role._node_type_comm, b)
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# logger.info(res)
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# print("res ", res)
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# role._barrier_all()
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