Spaces:
Runtime error
Runtime error
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) |