Spaces:
Running
on
Zero
Running
on
Zero
| from admin.environment import env_settings | |
| class Settings: | |
| """ Training settings, e.g. the paths to datasets and networks.""" | |
| def __init__(self): | |
| self.set_default() | |
| def set_default(self): | |
| self.env = env_settings() | |
| self.use_gpu = True | |
| class MatchingNetParams: | |
| """Class for matching network parameters.""" | |
| def set_default_values(self, default_vals: dict): | |
| for name, val in default_vals.items(): | |
| if not hasattr(self, name): | |
| setattr(self, name, val) | |
| def get(self, name: str, *default): | |
| """Get a parameter value with the given name. If it does not exists, it return the default value given as a | |
| second argument or returns an error if no default value is given.""" | |
| if len(default) > 1: | |
| raise ValueError('Can only give one default value.') | |
| if not default: | |
| return getattr(self, name) | |
| return getattr(self, name, default[0]) | |
| def has(self, name: str): | |
| """Check if there exist a parameter with the given name.""" | |
| return hasattr(self, name) |