class_docstr: Track the min and max values of the observations in each batch.
docstr: Return min and max values.
code: def compute(self) -> tuple[Tensor, Tensor]:
      """Return min and max values."""
      return self.min, self.max
  
file_path: anomalib/src/anomalib/utils/metrics/min_max.py
imports: from __future__ import annotations
  import torch
  from torch import Tensor
  from torchmetrics import Metric
label_desc: Use image node_id 3 for calling the MinMax obj's underlying member method code with example usage: obj.compute() and returns: self,  self