class_docstr: Generate random planckian jitter parameters for a batch of images.
code: def __init__(self, domain: List[float]) -> None:
      super().__init__()
      self.domain = domain
  
file_path: kornia/kornia/augmentation/random_generator/_2d/planckian_jitter.py
imports: from typing import Dict, List, Tuple
  import torch
  from kornia.augmentation.random_generator.base import RandomGeneratorBase, UniformDistribution
  from kornia.augmentation.utils import _adapted_rsampling, _common_param_check, _joint_range_check, _range_bound
label_desc: Use image node_id 1 to create a new PlanckianJitterGenerator object from inherited base classes: RandomGeneratorBase with example: obj = PlanckianJitterGenerator(domain)