Method __init__

sat/sgm/modules/diffusionmodules/loss.py:12–37

(
        self,
        sigma_sampler_config,
        type="l2",
        offset_noise_level=0.0,
        batch2model_keys: Optional[Union[str, List[str], ListConfig]] = None,
    )

class StandardDiffusionLoss(nn.Module):
    def __init__(
        self,
        sigma_sampler_config,
        type="l2",
        offset_noise_level=0.0,
        batch2model_keys: Optional[Union[str, List[str], ListConfig]] = None,
    ):
        super().__init__()

        assert type in ["l2", "l1", "lpips"]

        self.sigma_sampler = instantiate_from_config(sigma_sampler_config)

        self.type = type
        self.offset_noise_level = offset_noise_level

        if type == "lpips":
            self.lpips = LPIPS().eval()

        if not batch2model_keys:
            batch2model_keys = []

        if isinstance(batch2model_keys, str):
            batch2model_keys = [batch2model_keys]

        self.batch2model_keys = set(batch2model_keys)

    def __call__(self, network, denoiser, conditioner, input, batch):
        cond = conditioner(batch)