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63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
# Copied and adapted from: https://github.com/hao-ai-lab/FastVideo
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import argparse
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from typing import Any
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def update_config_from_args(
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config: Any, args_dict: dict[str, Any], prefix: str = "", pop_args: bool = False
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) -> bool:
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"""
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Update configuration object from arguments dictionary.
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Args:
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config: The configuration object to update
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args_dict: Dictionary containing arguments
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prefix: Prefix for the configuration parameters in the args_dict.
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If None, assumes direct attribute mapping without prefix.
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"""
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# Handle top-level attributes (no prefix)
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args_not_to_remove = [
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"model_path",
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"disable_autocast",
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]
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args_to_remove = []
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if prefix.strip() == "":
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for key, value in args_dict.items():
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if hasattr(config, key) and value is not None:
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if key == "text_encoder_precisions" and isinstance(value, list):
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setattr(config, key, tuple(value))
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else:
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setattr(config, key, value)
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if pop_args:
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args_to_remove.append(key)
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else:
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# Handle nested attributes with prefix
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prefix_with_dot = f"{prefix}."
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for key, value in args_dict.items():
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if key.startswith(prefix_with_dot) and value is not None:
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attr_name = key[len(prefix_with_dot) :]
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if hasattr(config, attr_name):
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setattr(config, attr_name, value)
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if pop_args:
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args_to_remove.append(key)
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if pop_args:
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for key in args_to_remove:
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if key not in args_not_to_remove:
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args_dict.pop(key)
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return len(args_to_remove) > 0
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def clean_cli_args(args: argparse.Namespace) -> dict[str, Any]:
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"""
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Clean the arguments by removing the ones that not explicitly provided by the user.
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"""
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provided_args = {}
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for k, v in vars(args).items():
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if v is not None and hasattr(args, "_provided") and k in args._provided:
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provided_args[k] = v
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return provided_args
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