48 lines
1.8 KiB
Python
48 lines
1.8 KiB
Python
# Adopted from https://github.com/guandeh17/Self-Forcing
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# SPDX-License-Identifier: Apache-2.0
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import argparse
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import os
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from omegaconf import OmegaConf
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import wandb
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from trainer import ScoreDistillationTrainer, DiffusionTrainer
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from utils.config import normalize_config
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("--config_path", type=str, required=True)
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parser.add_argument("--no_save", action="store_true")
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parser.add_argument("--no_visualize", action="store_true")
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parser.add_argument("--logdir", type=str, default="", help="Path to the directory to save logs")
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parser.add_argument("--wandb-save-dir", type=str, default="", help="Path to the directory to save wandb logs")
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parser.add_argument("--disable-wandb", action="store_true")
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parser.add_argument("--no-auto-resume", action="store_true", help="Disable auto resume from latest checkpoint in logdir")
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parser.add_argument("--generate-before-train", action="store_true", help="Run one evaluation inference before training starts")
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args = parser.parse_args()
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config = normalize_config(OmegaConf.load(args.config_path))
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config.no_save = args.no_save
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config.no_visualize = args.no_visualize
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config_name = os.path.splitext(os.path.basename(args.config_path))[0]
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config.config_name = config_name
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config.logdir = args.logdir
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config.wandb_save_dir = args.wandb_save_dir
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config.disable_wandb = args.disable_wandb
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config.auto_resume = not args.no_auto_resume # Default to True unless --no-auto-resume is specified
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config.generate_before_train = args.generate_before_train
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if config.trainer == "score_distillation":
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trainer = ScoreDistillationTrainer(config)
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elif config.trainer == "diffusion":
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trainer = DiffusionTrainer(config)
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trainer.train()
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wandb.finish()
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if __name__ == "__main__":
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main()
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