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36 lines
1.3 KiB
36 lines
1.3 KiB
6 years ago
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# Copyright (c) 2019 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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def train():
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selected_gpus = os.getenv("FLAGS_selected_gpus")
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trainer_id = int(os.getenv("PADDLE_TRAINER_ID"))
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worker_endpoints_env = os.getenv("PADDLE_TRAINER_ENDPOINTS")
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current_endpoint = os.getenv("PADDLE_CURRENT_ENDPOINT")
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worker_endpoints = worker_endpoints_env.split(",")
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trainers_num = len(worker_endpoints)
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name = "selected_gpus:{} worker_endpoints:{} trainers_num:{} current_endpoint:{} trainer_id:{}"\
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.format(selected_gpus, worker_endpoints, trainers_num, current_endpoint,trainer_id)
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print(name)
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with open("multi_process.check.log", "w") as f:
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f.write(name)
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if __name__ == '__main__':
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train()
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