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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)
@classmethod
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)
@classmethod
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) |