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import json |
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import yaml |
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from typing import TypeVar, Dict, Any |
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from diffusers import ConfigMixin |
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T = TypeVar('T', bound='VideoBaseConfiguration') |
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class VideoBaseConfiguration(ConfigMixin): |
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config_name = "VideoBaseConfiguration" |
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_nested_config_fields: Dict[str, Any] = {} |
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def __init__(self, **kwargs): |
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pass |
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def to_dict(self) -> Dict[str, Any]: |
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d = {} |
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for key, value in vars(self).items(): |
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if isinstance(value, VideoBaseConfiguration): |
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d[key] = value.to_dict() |
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elif isinstance(value, tuple): |
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d[key] = list(value) |
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else: |
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d[key] = value |
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return d |
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def to_yaml_file(self, yaml_path: str): |
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with open(yaml_path, 'w') as yaml_file: |
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yaml.dump(self.to_dict(), yaml_file, default_flow_style=False) |
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@classmethod |
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def load_from_yaml(cls: T, yaml_path: str) -> T: |
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with open(yaml_path, 'r') as yaml_file: |
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config_dict = yaml.safe_load(yaml_file) |
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for field, field_type in cls._nested_config_fields.items(): |
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if field in config_dict: |
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config_dict[field] = field_type.load_from_dict(config_dict[field]) |
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return cls(**config_dict) |
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@classmethod |
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def load_from_dict(cls: T, config_dict: Dict[str, Any]) -> T: |
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for field, field_type in cls._nested_config_fields.items(): |
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if field in config_dict: |
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config_dict[field] = field_type.load_from_dict(config_dict[field]) |
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return cls(**config_dict) |