refactor: simplify delta-only flow training
Remove learned dt prediction and auxiliary losses. Add repository contributor guidelines.
This commit is contained in:
6
main.py
6
main.py
@@ -19,11 +19,6 @@ def build_parser() -> argparse.ArgumentParser:
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parser.add_argument("--dt-min", type=float, default=None)
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parser.add_argument("--dt-max", type=float, default=None)
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parser.add_argument("--lambda-flow", type=float, default=None)
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parser.add_argument("--lambda-pos", type=float, default=None)
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parser.add_argument("--lambda-dt", type=float, default=None)
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parser.add_argument("--use-flow-loss", action=argparse.BooleanOptionalAction, default=None)
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parser.add_argument("--use-pos-loss", action=argparse.BooleanOptionalAction, default=None)
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parser.add_argument("--use-dt-loss", action=argparse.BooleanOptionalAction, default=None)
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parser.add_argument("--num-classes", type=int, default=None)
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parser.add_argument("--image-size", type=int, default=None)
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parser.add_argument("--channels", type=int, default=None)
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@@ -41,7 +36,6 @@ def build_parser() -> argparse.ArgumentParser:
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parser.add_argument("--val-every", type=int, default=None)
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parser.add_argument("--val-samples-per-class", type=int, default=None)
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parser.add_argument("--val-grid-rows", type=int, default=None)
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parser.add_argument("--val-max-steps", type=int, default=None)
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parser.add_argument("--use-ddp", action=argparse.BooleanOptionalAction, default=None)
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return parser
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