class_docstr: An abstract base class for various target-dependent sampler
class_docstr_tok: ["An","abstract","base","class","for","various","target-dependent","sampler"]
code: def __iter__(self):
      return super(TargetDependantSampler, self).__iter__()
  
file_path: AutoGL/autogl/module/train/sampling/sampler/target_dependant_sampler.py
imports: import torch.utils.data
  import typing
label_desc: Use image node_id 2 for calling the TargetDependantSampler obj's underlying member method code with example usage: obj.__iter__() and returns: super