57 lines
2.9 KiB
Python
57 lines
2.9 KiB
Python
from argparse import ArgumentParser, Namespace
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from distutils.util import strtobool
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from pathlib import Path
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import os
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# Parameter Configuration
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# =============================================================================
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# Argument Parser
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_ROOT = Path(__file__).parent
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main_arg_parser = ArgumentParser(description="parser for fast-neural-style")
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# Main Parameters
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main_arg_parser.add_argument("--main_debug", type=strtobool, default=False, help="")
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main_arg_parser.add_argument("--main_eval", type=strtobool, default=False, help="")
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main_arg_parser.add_argument("--main_seed", type=int, default=69, help="")
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# Data Parameters
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main_arg_parser.add_argument("--data_worker", type=int, default=10, help="")
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main_arg_parser.add_argument("--data_root", type=str, default='data', help="")
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main_arg_parser.add_argument("--data_class_name", type=str, default='BinaryMasksDataset', help="")
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main_arg_parser.add_argument("--data_normalized", type=strtobool, default=True, help="")
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main_arg_parser.add_argument("--data_use_preprocessed", type=strtobool, default=True, help="")
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# Transformation Parameters
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main_arg_parser.add_argument("--transformations_to_tensor", type=strtobool, default=False, help="")
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# Training Parameters
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main_arg_parser.add_argument("--train_outpath", type=str, default="output", help="")
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main_arg_parser.add_argument("--train_version", type=strtobool, required=False, help="")
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main_arg_parser.add_argument("--train_epochs", type=int, default=500, help="")
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main_arg_parser.add_argument("--train_batch_size", type=int, default=200, help="")
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main_arg_parser.add_argument("--train_lr", type=float, default=1e-3, help="")
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main_arg_parser.add_argument("--train_num_sanity_val_steps", type=int, default=0, help="")
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# Model Parameters
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main_arg_parser.add_argument("--model_type", type=str, default="BinaryClassifier", help="")
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main_arg_parser.add_argument("--model_weight_init", type=str, default="xavier_normal_", help="")
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main_arg_parser.add_argument("--model_activation", type=str, default="leaky_relu", help="")
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main_arg_parser.add_argument("--model_filters", type=str, default="[16, 32, 64]", help="")
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main_arg_parser.add_argument("--model_classes", type=int, default=2, help="")
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main_arg_parser.add_argument("--model_lat_dim", type=int, default=16, help="")
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main_arg_parser.add_argument("--model_bias", type=strtobool, default=True, help="")
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main_arg_parser.add_argument("--model_norm", type=strtobool, default=False, help="")
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main_arg_parser.add_argument("--model_dropout", type=float, default=0.00, help="")
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# Project Parameters
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main_arg_parser.add_argument("--project_name", type=str, default=_ROOT.name, help="")
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main_arg_parser.add_argument("--project_owner", type=str, default='si11ium', help="")
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main_arg_parser.add_argument("--project_neptune_key", type=str, default=os.getenv('NEPTUNE_KEY'), help="")
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if __name__ == '__main__':
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# Parse it
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args: Namespace = main_arg_parser.parse_args()
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