class_docstr: Transforms which draw a transform randomly among several transforms indicated in transform options
  Examples
  
  Parameters
  ----------
  transform_options Omegaconf list which contains the transform
class_docstr_tok: ["Transforms","which","draw","a","transform","randomly","among","several","transforms","indicated","in","transform","options","Examples","Parameters","--","--","--","--","--","transform_options","Omegaconf","list","which","contains","the","transform"]
code: def __init__(self, transform_options):
      self.random_transforms = instantiate_transforms(transform_options)
  
imports: import sys
  import numpy
  import torch_geometric.transforms
  from .transforms import *
  from .grid_transform import *
  from .sparse_transforms import *
  from .inference_transforms import *
  from .feature_augment import *
  from .features import *
  from .filters import *
  from .precollate import *
  from .prebatchcollate import *
  from omegaconf.dictconfig import DictConfig
  from omegaconf.listconfig import ListConfig
  from omegaconf import OmegaConf
label_desc: Use image node_id 1 to create a new LotteryTransform object from inherited base classes: object with example: obj = LotteryTransform(transform_options)