60 lines
3.0 KiB
Python
60 lines
3.0 KiB
Python
# Imports
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# =============================================================================
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import os
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from distutils.util import strtobool
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from argparse import ArgumentParser, Namespace
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# Parameter Configuration
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# =============================================================================
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# Argument Parser
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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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# Project
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main_arg_parser.add_argument("--project_name", type=str, default='point-to-primitive', 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_API_TOKEN'), 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_use_preprocessed", type=strtobool, default=True, help="")
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# Transformations
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# main_arg_parser.add_argument("--transformations_to_tensor", type=strtobool, default=False, help="")
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# main_arg_parser.add_argument("--transformations_normalize", type=strtobool, default=False, help="")
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# Training
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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=10, 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_weight_decay", type=float, default=1e-8, help="")
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main_arg_parser.add_argument("--train_num_sanity_val_steps", type=int, default=0, help="")
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main_arg_parser.add_argument("--train_sto_weight_avg", type=strtobool, default=False, help="")
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main_arg_parser.add_argument("--train_opt_reset_interval", type=strtobool, default=False, help="")
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# Model
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# Possible Model arguments are: P2P, PN2, P2G
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main_arg_parser.add_argument("--model_type", type=str, default="P2G", help="")
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main_arg_parser.add_argument("--model_norm_as_feature", type=strtobool, default=True, 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_use_bias", type=strtobool, default=True, help="")
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main_arg_parser.add_argument("--model_use_norm", type=strtobool, default=True, help="")
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main_arg_parser.add_argument("--model_dropout", type=float, default=0.00, help="")
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# Model 2: Layer Specific Stuff
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main_arg_parser.add_argument("--model_features", type=int, default=16, help="")
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# Parse it
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args: Namespace = main_arg_parser.parse_args()
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if __name__ == '__main__':
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pass |