Method ema_scope

sat/sgm/models/autoencoder.py:82–94

(self, context=None)

    @contextmanager
    def ema_scope(self, context=None):
        if self.use_ema:
            self.model_ema.store(self.parameters())
            self.model_ema.copy_to(self)
            if context is not None:
                logpy.info(f"{context}: Switched to EMA weights")
        try:
            yield None
        finally:
            if self.use_ema:
                self.model_ema.restore(self.parameters())
                if context is not None:
                    logpy.info(f"{context}: Restored training weights")

    @abstractmethod
    def encode(self, *args, **kwargs) -> torch.Tensor: