class_docstr: Wrapper for deprecated import.
  
  >>> import torch
  >>> preds = torch.rand([16, 1, 16, 16])
  >>> target = preds * 0.75
  >>> uqi = _UniversalImageQualityIndex()
  >>> uqi(preds, target)
  tensor(0.9216)
code: def __init__(
      self,
      kernel_size: Sequence[int] = (11, 11),
      sigma: Sequence[float] = (1.5, 1.5),
      reduction: Literal[
          "elementwise_mean", "sum", "none", None
      ] = "elementwise_mean",
      **kwargs: Any,
  ) -> None:
      _deprecated_root_import_class(
          "UniversalImageQualityIndex", "image"
      )
      super().__init__(
          kernel_size=kernel_size,
          sigma=sigma,
          reduction=reduction,
          **kwargs,
      )
  
imports: from typing import Any, Dict, Optional, Sequence, Tuple, Union
  from typing_extensions import Literal
  from torchmetrics.image.d_lambda import SpectralDistortionIndex
  from torchmetrics.image.ergas import ErrorRelativeGlobalDimensionlessSynthesis
  from torchmetrics.image.psnr import PeakSignalNoiseRatio
  from torchmetrics.image.rase import RelativeAverageSpectralError
  from torchmetrics.image.rmse_sw import RootMeanSquaredErrorUsingSlidingWindow
  from torchmetrics.image.sam import SpectralAngleMapper
  from torchmetrics.image.ssim import MultiScaleStructuralSimilarityIndexMeasure, StructuralSimilarityIndexMeasure
  from torchmetrics.image.tv import TotalVariation
  from torchmetrics.image.uqi import UniversalImageQualityIndex
  from torchmetrics.utilities.prints import _deprecated_root_import_class
label_desc: Use image node_id 1 to create a new _UniversalImageQualityIndex object from inherited base classes: UniversalImageQualityIndex with example: obj = _UniversalImageQualityIndex(kernel_size, sigma, reduction)