45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
##################################################
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# Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2020 #
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##################################################
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import random, argparse
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from .share_args import add_shared_args
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def obtain_basic_args():
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parser = argparse.ArgumentParser(
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description="Train a classification model on typical image classification datasets.",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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parser.add_argument("--resume", type=str, help="Resume path.")
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parser.add_argument("--init_model", type=str, help="The initialization model path.")
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parser.add_argument(
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"--model_config", type=str, help="The path to the model configuration"
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)
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parser.add_argument(
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"--optim_config", type=str, help="The path to the optimizer configuration"
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)
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parser.add_argument("--procedure", type=str, help="The procedure basic prefix.")
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parser.add_argument(
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"--model_source",
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type=str,
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default="normal",
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help="The source of model defination.",
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)
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parser.add_argument(
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"--extra_model_path",
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type=str,
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default=None,
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help="The extra model ckp file (help to indicate the searched architecture).",
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)
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add_shared_args(parser)
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# Optimization options
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parser.add_argument(
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"--batch_size", type=int, default=2, help="Batch size for training."
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)
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args = parser.parse_args()
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if args.rand_seed is None or args.rand_seed < 0:
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args.rand_seed = random.randint(1, 100000)
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assert args.save_dir is not None, "save-path argument can not be None"
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return args
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