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53 lines
1.5 KiB
53 lines
1.5 KiB
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve. |
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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 time |
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import paddle |
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import numpy as np |
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import random |
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from .logger import setup_logger |
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def setup(args, cfg): |
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if args.evaluate_only: |
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cfg.is_train = False |
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else: |
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cfg.is_train = True |
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if args.profiler_options: |
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cfg.profiler_options = args.profiler_options |
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else: |
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cfg.profiler_options = None |
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cfg.timestamp = time.strftime('-%Y-%m-%d-%H-%M', time.localtime()) |
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cfg.output_dir = os.path.join( |
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cfg.output_dir, |
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os.path.splitext(os.path.basename(str(args.config_file)))[0] + |
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cfg.timestamp) |
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logger = setup_logger(cfg.output_dir) |
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logger.info('Configs: {}'.format(cfg)) |
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if paddle.is_compiled_with_cuda(): |
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paddle.set_device('gpu') |
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else: |
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paddle.set_device('cpu') |
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if args.seed: |
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paddle.seed(args.seed) |
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random.seed(args.seed) |
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np.random.seed(args.seed) |
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paddle.framework.random._manual_program_seed(args.seed)
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