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