code: def __call__(self, model_output: Tensor, ts: Tensor) -> Tensor:
      pass
  
imports: import math
  import torch
  import numpy
  import torch.nn.functional
  from abc import abstractmethod
  from abc import ABCMeta
  from torch import Tensor
  from typing import Any
  from typing import Dict
  from typing import Tuple
  from typing import Optional
  from typing import Protocol
  from .basic import merge_ref
  from .schema import ISampler
  from .schema import IDiffusion
  from .schema import DDPMQSampler
  from .schema import UncondSamplerMixin
  from ..utils import cond_type
  from ..utils import get_timesteps
  from ...ae.vq import AutoEncoderVQModel
  from .....misc.toolkit import get_device
label_desc: Use image node_id 1 for calling the IGetDenoised obj's underlying member method code with example usage: obj.__call__(model_output, ts) without return types