45 lines
1.4 KiB
Python
45 lines
1.4 KiB
Python
#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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# Copyright (c) 2019 Huawei Technologies Co., Ltd.
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# A-Tune is licensed under the Mulan PSL v1.
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# You can use this software according to the terms and conditions of the Mulan PSL v1.
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# You may obtain a copy of Mulan PSL v1 at:
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# http://license.coscl.org.cn/MulanPSL
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# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY OR FIT FOR A PARTICULAR
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# PURPOSE.
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# See the Mulan PSL v1 for more details.
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# Create: 2019-10-29
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"""
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Restful api for training, in order to provide the method of post.
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"""
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from flask import abort
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from flask_restful import Resource
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from optimizer.workload_characterization import WorkloadCharacterization
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from resources.parser import train_post_parser
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import logging
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logger = logging.getLogger(__name__)
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class Training(Resource):
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def post(self):
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args = train_post_parser.parse_args()
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logger.info(args)
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model_path = args.get("modelpath")
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output_path = args.get("outputpath")
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data_path = args.get("datapath")
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charaterization = WorkloadCharacterization(model_path)
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try:
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charaterization.retrain(data_path, output_path)
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except Exception as err:
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logger.error(err)
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abort(500)
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return {}, 200
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