wehub-resource-sync
40 lines
1.6 KiB
Python
40 lines
1.6 KiB
Python
# 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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import sys
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def train(prefix):
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selected_accelerators = os.getenv("FLAGS_selected_accelerators")
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selected_custom_devices = os.getenv("FLAGS_selected_custom_cpus")
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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
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trainers_num = len(worker_endpoints.split(','))
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device_ids = os.getenv("PADDLE_WORLD_DEVICE_IDS")
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current_device_id = os.getenv("PADDLE_LOCAL_DEVICE_IDS")
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details = f"selected_accelerators:{selected_accelerators} selected_custom_devices:{selected_custom_devices} worker_endpoints:{worker_endpoints} trainers_num:{trainers_num} current_endpoint:{current_endpoint} trainer_id:{trainer_id} device_ids:{device_ids} device_id:{current_device_id}"
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print(details)
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with open(f"multi_process_{prefix}.check_{trainer_id}.log", "w") as f:
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f.write(details)
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if __name__ == '__main__':
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prefix = sys.argv[1]
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train(prefix)
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