class_docstr: Compute the loss function based on the Structural Similarity Index Measure (SSIM) Metric.
  
  For more info, visit
      https://vicuesoft.com/glossary/term/ssim-ms-ssim/
  
  SSIM reference paper:
      Wang, Zhou, et al. "Image quality assessment: from error visibility to structural
      similarity." IEEE transactions on image processing 13.4 (2004): 600-612.
code: def data_range(self) -> float:
      return self._data_range
  
file_path: MONAI/monai/losses/ssim_loss.py
imports: from __future__ import annotations
  from collections.abc import Sequence
  import torch
  from torch.nn.modules.loss import _Loss
  from monai.metrics.regression import KernelType, SSIMMetric
  from monai.utils import LossReduction, ensure_tuple_rep
label_desc: Use image node_id 2 for calling the SSIMLoss obj's underlying member method code with example usage: obj.data_range() and returns: self